diff --git "a/scannet200/semseg-spunet-base/train.log" "b/scannet200/semseg-spunet-base/train.log" new file mode 100644--- /dev/null +++ "b/scannet200/semseg-spunet-base/train.log" @@ -0,0 +1,40362 @@ +[2025-03-11 01:05:12,447 INFO train.py line 128 2389709] => Loading config ... +[2025-03-11 01:05:12,448 INFO train.py line 130 2389709] Save path: exp/scannet200/semseg-spunet-base-m5-s1 +[2025-03-11 01:05:13,709 INFO train.py line 131 2389709] Config: +weight = 'exp/scannet/pretrain-gs-v4-spunet-base-m5/model/model_last.pth' +resume = False +evaluate = True +test_only = False +seed = 5151584 +save_path = 'exp/scannet200/semseg-spunet-base-m5-s1' +num_worker = 64 +batch_size = 32 +batch_size_val = None +batch_size_test = None +epoch = 800 +eval_epoch = 100 +clip_grad = None +sync_bn = False +enable_amp = True +empty_cache = False +empty_cache_per_epoch = False +find_unused_parameters = True +mix_prob = 0.8 +param_dicts = None +hooks = [ + dict(type='CheckpointLoader'), + dict(type='IterationTimer', warmup_iter=2), + dict(type='CustomInformationWriter', interval=50, key='loss'), + dict(type='CustomSemSegEvaluator'), + dict(type='CheckpointSaver', save_freq=None), + dict(type='PreciseEvaluator', test_last=False) +] +train = dict(type='DefaultTrainer') +test = dict(type='SemSegTester', verbose=True) +CLASS_LABELS_200 = ( + 'wall', 'chair', 'floor', 'table', 'door', 'couch', 'cabinet', 'shelf', + 'desk', 'office chair', 'bed', 'pillow', 'sink', 'picture', 'window', + 'toilet', 'bookshelf', 'monitor', 'curtain', 'book', 'armchair', + 'coffee table', 'box', 'refrigerator', 'lamp', 'kitchen cabinet', 'towel', + 'clothes', 'tv', 'nightstand', 'counter', 'dresser', 'stool', 'cushion', + 'plant', 'ceiling', 'bathtub', 'end table', 'dining table', 'keyboard', + 'bag', 'backpack', 'toilet paper', 'printer', 'tv stand', 'whiteboard', + 'blanket', 'shower curtain', 'trash can', 'closet', 'stairs', 'microwave', + 'stove', 'shoe', 'computer tower', 'bottle', 'bin', 'ottoman', 'bench', + 'board', 'washing machine', 'mirror', 'copier', 'basket', 'sofa chair', + 'file cabinet', 'fan', 'laptop', 'shower', 'paper', 'person', + 'paper towel dispenser', 'oven', 'blinds', 'rack', 'plate', 'blackboard', + 'piano', 'suitcase', 'rail', 'radiator', 'recycling bin', 'container', + 'wardrobe', 'soap dispenser', 'telephone', 'bucket', 'clock', 'stand', + 'light', 'laundry basket', 'pipe', 'clothes dryer', 'guitar', + 'toilet paper holder', 'seat', 'speaker', 'column', 'bicycle', 'ladder', + 'bathroom stall', 'shower wall', 'cup', 'jacket', 'storage bin', + 'coffee maker', 'dishwasher', 'paper towel roll', 'machine', 'mat', + 'windowsill', 'bar', 'toaster', 'bulletin board', 'ironing board', + 'fireplace', 'soap dish', 'kitchen counter', 'doorframe', + 'toilet paper dispenser', 'mini fridge', 'fire extinguisher', 'ball', + 'hat', 'shower curtain rod', 'water cooler', 'paper cutter', 'tray', + 'shower door', 'pillar', 'ledge', 'toaster oven', 'mouse', + 'toilet seat cover dispenser', 'furniture', 'cart', 'storage container', + 'scale', 'tissue box', 'light switch', 'crate', 'power outlet', + 'decoration', 'sign', 'projector', 'closet door', 'vacuum cleaner', + 'candle', 'plunger', 'stuffed animal', 'headphones', 'dish rack', 'broom', + 'guitar case', 'range hood', 'dustpan', 'hair dryer', 'water bottle', + 'handicap bar', 'purse', 'vent', 'shower floor', 'water pitcher', + 'mailbox', 'bowl', 'paper bag', 'alarm clock', 'music stand', + 'projector screen', 'divider', 'laundry detergent', 'bathroom counter', + 'object', 'bathroom vanity', 'closet wall', 'laundry hamper', + 'bathroom stall door', 'ceiling light', 'trash bin', 'dumbbell', + 'stair rail', 'tube', 'bathroom cabinet', 'cd case', 'closet rod', + 'coffee kettle', 'structure', 'shower head', 'keyboard piano', + 'case of water bottles', 'coat rack', 'storage organizer', 'folded chair', + 'fire alarm', 'power strip', 'calendar', 'poster', 'potted plant', + 'luggage', 'mattress') +evaluate_interval = [(1, 1), (90, 1)] +model = dict( + type='DefaultSegmentor', + backbone=dict( + type='SpUNet-v1m1', + in_channels=6, + num_classes=200, + channels=(32, 64, 128, 256, 256, 128, 96, 96), + layers=(2, 3, 4, 6, 2, 2, 2, 2)), + criteria=[ + dict(type='CrossEntropyLoss', loss_weight=1.0, ignore_index=-1), + dict( + type='LovaszLoss', + mode='multiclass', + loss_weight=1.0, + ignore_index=-1) + ]) +optimizer = dict(type='AdamW', lr=0.005, weight_decay=0.05) +scheduler = dict( + type='OneCycleLR', + max_lr=0.005, + pct_start=0.05, + anneal_strategy='cos', + div_factor=10.0, + final_div_factor=1000.0) +dataset_type = 'ScanNet200Dataset' +data_root = 'data/scannet' +data = dict( + num_classes=200, + ignore_index=-1, + names=( + 'wall', 'chair', 'floor', 'table', 'door', 'couch', 'cabinet', 'shelf', + 'desk', 'office chair', 'bed', 'pillow', 'sink', 'picture', 'window', + 'toilet', 'bookshelf', 'monitor', 'curtain', 'book', 'armchair', + 'coffee table', 'box', 'refrigerator', 'lamp', 'kitchen cabinet', + 'towel', 'clothes', 'tv', 'nightstand', 'counter', 'dresser', 'stool', + 'cushion', 'plant', 'ceiling', 'bathtub', 'end table', 'dining table', + 'keyboard', 'bag', 'backpack', 'toilet paper', 'printer', 'tv stand', + 'whiteboard', 'blanket', 'shower curtain', 'trash can', 'closet', + 'stairs', 'microwave', 'stove', 'shoe', 'computer tower', 'bottle', + 'bin', 'ottoman', 'bench', 'board', 'washing machine', 'mirror', + 'copier', 'basket', 'sofa chair', 'file cabinet', 'fan', 'laptop', + 'shower', 'paper', 'person', 'paper towel dispenser', 'oven', 'blinds', + 'rack', 'plate', 'blackboard', 'piano', 'suitcase', 'rail', 'radiator', + 'recycling bin', 'container', 'wardrobe', 'soap dispenser', + 'telephone', 'bucket', 'clock', 'stand', 'light', 'laundry basket', + 'pipe', 'clothes dryer', 'guitar', 'toilet paper holder', 'seat', + 'speaker', 'column', 'bicycle', 'ladder', 'bathroom stall', + 'shower wall', 'cup', 'jacket', 'storage bin', 'coffee maker', + 'dishwasher', 'paper towel roll', 'machine', 'mat', 'windowsill', + 'bar', 'toaster', 'bulletin board', 'ironing board', 'fireplace', + 'soap dish', 'kitchen counter', 'doorframe', 'toilet paper dispenser', + 'mini fridge', 'fire extinguisher', 'ball', 'hat', + 'shower curtain rod', 'water cooler', 'paper cutter', 'tray', + 'shower door', 'pillar', 'ledge', 'toaster oven', 'mouse', + 'toilet seat cover dispenser', 'furniture', 'cart', + 'storage container', 'scale', 'tissue box', 'light switch', 'crate', + 'power outlet', 'decoration', 'sign', 'projector', 'closet door', + 'vacuum cleaner', 'candle', 'plunger', 'stuffed animal', 'headphones', + 'dish rack', 'broom', 'guitar case', 'range hood', 'dustpan', + 'hair dryer', 'water bottle', 'handicap bar', 'purse', 'vent', + 'shower floor', 'water pitcher', 'mailbox', 'bowl', 'paper bag', + 'alarm clock', 'music stand', 'projector screen', 'divider', + 'laundry detergent', 'bathroom counter', 'object', 'bathroom vanity', + 'closet wall', 'laundry hamper', 'bathroom stall door', + 'ceiling light', 'trash bin', 'dumbbell', 'stair rail', 'tube', + 'bathroom cabinet', 'cd case', 'closet rod', 'coffee kettle', + 'structure', 'shower head', 'keyboard piano', 'case of water bottles', + 'coat rack', 'storage organizer', 'folded chair', 'fire alarm', + 'power strip', 'calendar', 'poster', 'potted plant', 'luggage', + 'mattress'), + train=dict( + type='ScanNet200Dataset', + split='train', + data_root='data/scannet', + transform=[ + dict(type='ToTensor'), + dict(type='CenterShift', apply_z=True), + dict( + type='RandomDropout', + dropout_ratio=0.2, + dropout_application_ratio=0.2), + dict( + type='RandomRotate', + angle=[-1, 1], + axis='z', + center=[0, 0, 0], + p=0.5), + dict( + type='RandomRotate', + angle=[-0.015625, 0.015625], + axis='x', + p=0.5), + dict( + type='RandomRotate', + angle=[-0.015625, 0.015625], + axis='y', + p=0.5), + dict(type='RandomScale', scale=[0.9, 1.1]), + dict(type='RandomFlip', p=0.5), + dict(type='RandomJitter', sigma=0.005, clip=0.02), + dict( + type='ElasticDistortion', + distortion_params=[[0.2, 0.4], [0.8, 1.6]]), + dict(type='ChromaticAutoContrast', p=0.2, blend_factor=None), + dict(type='ChromaticTranslation', p=0.95, ratio=0.05), + dict(type='ChromaticJitter', p=0.95, std=0.05), + dict( + type='GridSample', + grid_size=0.02, + hash_type='fnv', + mode='train', + return_grid_coord=True), + dict(type='SphereCrop', point_max=100000, mode='random'), + dict(type='CenterShift', apply_z=False), + dict(type='NormalizeColor'), + dict( + type='Collect', + keys=('coord', 'grid_coord', 'segment'), + feat_keys=('color', 'normal')) + ], + test_mode=False, + loop=8), + val=dict( + type='ScanNet200Dataset', + split='val', + data_root='data/scannet', + transform=[ + dict(type='ToTensor'), + dict(type='CenterShift', apply_z=True), + dict( + type='GridSample', + grid_size=0.02, + hash_type='fnv', + mode='train', + return_grid_coord=True), + dict(type='CenterShift', apply_z=False), + dict(type='NormalizeColor'), + dict( + type='Collect', + keys=('coord', 'grid_coord', 'segment'), + feat_keys=('color', 'normal')) + ], + test_mode=False), + test=dict( + type='ScanNet200Dataset', + split='val', + data_root='data/scannet', + transform=[ + dict(type='ToTensor'), + dict(type='CenterShift', apply_z=True), + dict(type='NormalizeColor') + ], + test_mode=True, + test_cfg=dict( + voxelize=dict( + type='GridSample', + grid_size=0.02, + hash_type='fnv', + mode='test', + return_grid_coord=True, + keys=('coord', 'color', 'normal')), + crop=None, + post_transform=[ + dict(type='CenterShift', apply_z=False), + dict( + type='Collect', + keys=('coord', 'grid_coord', 'index'), + feat_keys=('color', 'normal')) + ], + aug_transform=[[{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [0.95, 0.95] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [0.95, 0.95] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [0.95, 0.95] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [0.95, 0.95] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [1.05, 1.05] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [1.05, 1.05] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [1.05, 1.05] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [1.05, 1.05] + }], [{ + 'type': 'RandomFlip', + 'p': 1 + }]]))) +num_worker_per_gpu = 16 +batch_size_per_gpu = 8 +batch_size_val_per_gpu = 1 +batch_size_test_per_gpu = 1 + +[2025-03-11 01:05:13,709 INFO train.py line 132 2389709] => Building model ... +[2025-03-11 01:05:14,298 INFO train.py line 232 2389709] Num params: 39175304 +[2025-03-11 01:05:14,417 INFO train.py line 134 2389709] => Building writer ... +[2025-03-11 01:05:14,419 INFO train.py line 242 2389709] Tensorboard writer logging dir: exp/scannet200/semseg-spunet-base-m5-s1 +[2025-03-11 01:05:14,419 INFO train.py line 136 2389709] => Building train dataset & dataloader ... +[2025-03-11 01:05:14,422 INFO defaults.py line 68 2389709] Totally 1201 x 8 samples in train set. +[2025-03-11 01:05:14,423 INFO train.py line 138 2389709] => Building val dataset & dataloader ... +[2025-03-11 01:05:14,423 INFO defaults.py line 68 2389709] Totally 312 x 1 samples in val set. +[2025-03-11 01:05:14,423 INFO train.py line 140 2389709] => Building optimize, scheduler, scaler(amp) ... +[2025-03-11 01:05:14,424 INFO train.py line 144 2389709] => Building hooks ... +[2025-03-11 01:05:14,425 INFO misc.py line 214 2389709] => Loading checkpoint & weight ... +[2025-03-11 01:05:14,425 INFO misc.py line 216 2389709] Loading weight at: exp/scannet/pretrain-gs-v4-spunet-base-m5/model/model_last.pth +[2025-03-11 01:05:14,954 INFO misc.py line 221 2389709] Loading layer weights with keyword: , replace keyword with: +[2025-03-11 01:05:14,959 INFO misc.py line 238 2389709] Missing keys: ['module.backbone.final.weight', 'module.backbone.final.bias'] +[2025-03-11 01:05:14,959 INFO train.py line 151 2389709] >>>>>>>>>>>>>>>> Start Training >>>>>>>>>>>>>>>> +[2025-03-11 01:06:10,900 INFO hook.py line 566 2389709] Train: [1/100][50/300] Data 0.003 (0.002) Batch 0.490 (0.501) Remain 04:09:58 loss: 5.5450 Lr: 5.12342e-04 +[2025-03-11 01:06:35,395 INFO hook.py line 566 2389709] Train: [1/100][100/300] Data 0.002 (0.002) Batch 0.488 (0.495) Remain 04:06:45 loss: 4.1234 Lr: 5.49233e-04 +[2025-03-11 01:07:00,083 INFO hook.py line 566 2389709] Train: [1/100][150/300] Data 0.003 (0.002) Batch 0.476 (0.495) Remain 04:06:06 loss: 3.0483 Lr: 6.10269e-04 +[2025-03-11 01:07:24,654 INFO hook.py line 566 2389709] Train: [1/100][200/300] Data 0.002 (0.002) Batch 0.534 (0.494) Remain 04:05:16 loss: 2.6167 Lr: 6.94779e-04 +[2025-03-11 01:07:49,299 INFO hook.py line 566 2389709] Train: [1/100][250/300] Data 0.003 (0.002) Batch 0.477 (0.494) Remain 04:04:46 loss: 2.7842 Lr: 8.01836e-04 +[2025-03-11 01:08:13,129 INFO hook.py line 566 2389709] Train: [1/100][300/300] Data 0.001 (0.002) Batch 0.458 (0.491) Remain 04:02:56 loss: 2.5765 Lr: 9.30266e-04 +[2025-03-11 01:08:13,129 INFO misc.py line 135 2389709] Train result: loss: 3.8081 +[2025-03-11 01:08:13,244 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:09:02,935 INFO hook.py line 748 2389709] Test: [1/78] Loss 3.2884 +[2025-03-11 01:09:02,981 INFO hook.py line 748 2389709] Test: [2/78] Loss 3.2261 +[2025-03-11 01:09:03,013 INFO hook.py line 748 2389709] Test: [3/78] Loss 1.5952 +[2025-03-11 01:09:03,062 INFO hook.py line 748 2389709] Test: [4/78] Loss 1.2863 +[2025-03-11 01:09:03,099 INFO hook.py line 748 2389709] Test: [5/78] Loss 2.5998 +[2025-03-11 01:09:03,158 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0756 +[2025-03-11 01:09:03,211 INFO hook.py line 748 2389709] Test: [7/78] Loss 2.4194 +[2025-03-11 01:09:03,239 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.9825 +[2025-03-11 01:09:03,288 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.9257 +[2025-03-11 01:09:03,324 INFO hook.py line 748 2389709] Test: [10/78] Loss 3.1704 +[2025-03-11 01:09:03,373 INFO hook.py line 748 2389709] Test: [11/78] Loss 2.3812 +[2025-03-11 01:09:03,414 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3098 +[2025-03-11 01:09:03,463 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.9045 +[2025-03-11 01:09:03,509 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.4021 +[2025-03-11 01:09:03,546 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.6178 +[2025-03-11 01:09:03,609 INFO hook.py line 748 2389709] Test: [16/78] Loss 1.0120 +[2025-03-11 01:09:03,646 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5896 +[2025-03-11 01:09:03,682 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.3520 +[2025-03-11 01:09:03,726 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5878 +[2025-03-11 01:09:03,763 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5898 +[2025-03-11 01:09:03,810 INFO hook.py line 748 2389709] Test: [21/78] Loss 1.1711 +[2025-03-11 01:09:03,851 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.9880 +[2025-03-11 01:09:03,880 INFO hook.py line 748 2389709] Test: [23/78] Loss 2.3193 +[2025-03-11 01:09:03,929 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.5296 +[2025-03-11 01:09:03,973 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.5222 +[2025-03-11 01:09:04,020 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7383 +[2025-03-11 01:09:04,074 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.9036 +[2025-03-11 01:09:04,111 INFO hook.py line 748 2389709] Test: [28/78] Loss 1.9448 +[2025-03-11 01:09:04,149 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.3948 +[2025-03-11 01:09:04,206 INFO hook.py line 748 2389709] Test: [30/78] Loss 3.1976 +[2025-03-11 01:09:04,264 INFO hook.py line 748 2389709] Test: [31/78] Loss 1.0555 +[2025-03-11 01:09:04,300 INFO hook.py line 748 2389709] Test: [32/78] Loss 2.4979 +[2025-03-11 01:09:04,358 INFO hook.py line 748 2389709] Test: [33/78] Loss 2.1351 +[2025-03-11 01:09:04,401 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.5038 +[2025-03-11 01:09:04,441 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.9837 +[2025-03-11 01:09:04,483 INFO hook.py line 748 2389709] Test: [36/78] Loss 2.0943 +[2025-03-11 01:09:04,536 INFO hook.py line 748 2389709] Test: [37/78] Loss 3.2051 +[2025-03-11 01:09:04,570 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.1919 +[2025-03-11 01:09:04,637 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3885 +[2025-03-11 01:09:04,685 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.6656 +[2025-03-11 01:09:04,738 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.7802 +[2025-03-11 01:09:04,767 INFO hook.py line 748 2389709] Test: [42/78] Loss 1.3839 +[2025-03-11 01:09:04,817 INFO hook.py line 748 2389709] Test: [43/78] Loss 2.9619 +[2025-03-11 01:09:04,876 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.5702 +[2025-03-11 01:09:04,920 INFO hook.py line 748 2389709] Test: [45/78] Loss 4.3731 +[2025-03-11 01:09:04,979 INFO hook.py line 748 2389709] Test: [46/78] Loss 3.4495 +[2025-03-11 01:09:05,021 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.9781 +[2025-03-11 01:09:05,055 INFO hook.py line 748 2389709] Test: [48/78] Loss 2.3601 +[2025-03-11 01:09:05,090 INFO hook.py line 748 2389709] Test: [49/78] Loss 2.0850 +[2025-03-11 01:09:05,127 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.5238 +[2025-03-11 01:09:05,159 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.7009 +[2025-03-11 01:09:05,194 INFO hook.py line 748 2389709] Test: [52/78] Loss 2.3814 +[2025-03-11 01:09:05,222 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.9574 +[2025-03-11 01:09:05,261 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2656 +[2025-03-11 01:09:05,302 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5306 +[2025-03-11 01:09:05,347 INFO hook.py line 748 2389709] Test: [56/78] Loss 2.0426 +[2025-03-11 01:09:05,384 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.6096 +[2025-03-11 01:09:05,414 INFO hook.py line 748 2389709] Test: [58/78] Loss 3.2986 +[2025-03-11 01:09:05,452 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.2328 +[2025-03-11 01:09:05,489 INFO hook.py line 748 2389709] Test: [60/78] Loss 1.3022 +[2025-03-11 01:09:05,516 INFO hook.py line 748 2389709] Test: [61/78] Loss 2.3386 +[2025-03-11 01:09:05,551 INFO hook.py line 748 2389709] Test: [62/78] Loss 2.0764 +[2025-03-11 01:09:05,589 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.7202 +[2025-03-11 01:09:05,649 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.4781 +[2025-03-11 01:09:05,677 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5134 +[2025-03-11 01:09:05,723 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.6213 +[2025-03-11 01:09:05,762 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.9829 +[2025-03-11 01:09:05,799 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.8108 +[2025-03-11 01:09:05,834 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.5013 +[2025-03-11 01:09:05,898 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.9421 +[2025-03-11 01:09:05,946 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9243 +[2025-03-11 01:09:06,000 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.1012 +[2025-03-11 01:09:06,054 INFO hook.py line 748 2389709] Test: [73/78] Loss 2.5372 +[2025-03-11 01:09:06,101 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2055 +[2025-03-11 01:09:06,155 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6981 +[2025-03-11 01:09:06,187 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2287 +[2025-03-11 01:09:06,247 INFO hook.py line 748 2389709] Test: [77/78] Loss 1.4488 +[2025-03-11 01:09:06,273 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3579 +[2025-03-11 01:09:07,499 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:09:07,499 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:09:07,499 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] wall : 0.6934 0.9315 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] chair : 0.7368 0.8859 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] floor : 0.9287 0.9829 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] table : 0.3341 0.8652 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] door : 0.3911 0.6861 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] couch : 0.4340 0.7870 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] cabinet : 0.0396 0.0796 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] shelf : 0.2228 0.6980 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] desk : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] office chair : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] bed : 0.3614 0.8321 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] pillow : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] sink : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] picture : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] window : 0.3771 0.6304 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] toilet : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] bookshelf : 0.0276 0.0371 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] monitor : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] curtain : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] book : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] armchair : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] coffee table : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] box : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] refrigerator : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] lamp : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] kitchen cabinet: 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] towel : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] clothes : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] tv : 0.0000 0.0000 +[2025-03-11 01:09:07,500 INFO hook.py line 689 2389709] nightstand : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] counter : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] dresser : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] stool : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] plant : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] ceiling : 0.9000 0.9655 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] bathtub : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] end table : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] keyboard : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] bag : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] backpack : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] toilet paper : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] printer : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] tv stand : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] whiteboard : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] shower curtain : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] trash can : 0.1037 0.4341 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] closet : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] stairs : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] microwave : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] stove : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] shoe : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] computer tower : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] bottle : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] ottoman : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] bench : 0.0000 0.0000 +[2025-03-11 01:09:07,501 INFO hook.py line 689 2389709] board : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] washing machine: 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] mirror : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] copier : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] file cabinet : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] fan : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] laptop : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] shower : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] person : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] paper towel dispenser: 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] blackboard : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] piano : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] suitcase : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] rail : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] radiator : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] recycling bin : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] wardrobe : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] soap dispenser : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] telephone : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] bucket : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] clock : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:09:07,502 INFO hook.py line 689 2389709] light : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] clothes dryer : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] ladder : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] bathroom stall : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] shower wall : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] cup : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] jacket : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] coffee maker : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] windowsill : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] bar : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] bulletin board : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] soap dish : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] kitchen counter: 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] doorframe : 0.0000 0.0000 +[2025-03-11 01:09:07,503 INFO hook.py line 689 2389709] toilet paper dispenser: 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] mini fridge : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] ball : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] shower curtain rod: 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] water cooler : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] paper cutter : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] shower door : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] ledge : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] tissue box : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] vacuum cleaner : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] plunger : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:09:07,504 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] dish rack : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] range hood : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] mailbox : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] divider : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] bathroom counter: 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] object : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] bathroom vanity: 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] closet wall : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] laundry hamper : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] bathroom stall door: 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] ceiling light : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] trash bin : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] dumbbell : 0.0000 0.0000 +[2025-03-11 01:09:07,505 INFO hook.py line 689 2389709] stair rail : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] bathroom cabinet: 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] closet rod : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 01:09:07,506 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:09:07,506 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.0278/0.0441/0.6576. +[2025-03-11 01:09:07,507 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:09:07,520 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.0278 +[2025-03-11 01:09:07,520 INFO misc.py line 164 2389709] Currently Best mIoU: 0.0278 +[2025-03-11 01:09:07,520 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:09:37,931 INFO hook.py line 566 2389709] Train: [2/100][50/300] Data 0.002 (0.002) Batch 0.454 (0.496) Remain 04:04:53 loss: 1.9146 Lr: 1.07866e-03 +[2025-03-11 01:10:02,542 INFO hook.py line 566 2389709] Train: [2/100][100/300] Data 0.003 (0.002) Batch 0.470 (0.494) Remain 04:03:36 loss: 1.8226 Lr: 1.24539e-03 +[2025-03-11 01:10:27,145 INFO hook.py line 566 2389709] Train: [2/100][150/300] Data 0.002 (0.002) Batch 0.494 (0.493) Remain 04:02:54 loss: 2.0540 Lr: 1.42863e-03 +[2025-03-11 01:10:51,845 INFO hook.py line 566 2389709] Train: [2/100][200/300] Data 0.003 (0.002) Batch 0.471 (0.493) Remain 04:02:35 loss: 2.0893 Lr: 1.62636e-03 +[2025-03-11 01:11:16,188 INFO hook.py line 566 2389709] Train: [2/100][250/300] Data 0.002 (0.002) Batch 0.478 (0.492) Remain 04:01:32 loss: 1.9565 Lr: 1.83642e-03 +[2025-03-11 01:11:40,735 INFO hook.py line 566 2389709] Train: [2/100][300/300] Data 0.002 (0.002) Batch 0.451 (0.492) Remain 04:01:01 loss: 2.0485 Lr: 2.05651e-03 +[2025-03-11 01:11:40,736 INFO misc.py line 135 2389709] Train result: loss: 2.1280 +[2025-03-11 01:11:40,839 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:12:36,907 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.8783 +[2025-03-11 01:12:36,967 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.7463 +[2025-03-11 01:12:37,005 INFO hook.py line 748 2389709] Test: [3/78] Loss 1.0655 +[2025-03-11 01:12:37,058 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.7262 +[2025-03-11 01:12:37,097 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.7420 +[2025-03-11 01:12:37,154 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9949 +[2025-03-11 01:12:37,206 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.7578 +[2025-03-11 01:12:37,242 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.9027 +[2025-03-11 01:12:37,287 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5331 +[2025-03-11 01:12:37,330 INFO hook.py line 748 2389709] Test: [10/78] Loss 2.2628 +[2025-03-11 01:12:37,379 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.6130 +[2025-03-11 01:12:37,416 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2306 +[2025-03-11 01:12:37,467 INFO hook.py line 748 2389709] Test: [13/78] Loss 3.0774 +[2025-03-11 01:12:37,508 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.7780 +[2025-03-11 01:12:37,550 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4279 +[2025-03-11 01:12:37,596 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.7260 +[2025-03-11 01:12:37,634 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3800 +[2025-03-11 01:12:37,677 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.2433 +[2025-03-11 01:12:37,725 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5143 +[2025-03-11 01:12:37,762 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4802 +[2025-03-11 01:12:37,806 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7938 +[2025-03-11 01:12:37,847 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.2295 +[2025-03-11 01:12:37,883 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.8404 +[2025-03-11 01:12:37,936 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0856 +[2025-03-11 01:12:37,978 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.2781 +[2025-03-11 01:12:38,020 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4472 +[2025-03-11 01:12:38,074 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0773 +[2025-03-11 01:12:38,110 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9569 +[2025-03-11 01:12:38,143 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0358 +[2025-03-11 01:12:38,199 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.4373 +[2025-03-11 01:12:38,257 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7726 +[2025-03-11 01:12:38,291 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6490 +[2025-03-11 01:12:38,355 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.3884 +[2025-03-11 01:12:38,395 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.8502 +[2025-03-11 01:12:38,431 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4236 +[2025-03-11 01:12:38,476 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6654 +[2025-03-11 01:12:38,522 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.4496 +[2025-03-11 01:12:38,559 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9340 +[2025-03-11 01:12:38,629 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1534 +[2025-03-11 01:12:38,678 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.3618 +[2025-03-11 01:12:38,727 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4726 +[2025-03-11 01:12:38,756 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5714 +[2025-03-11 01:12:38,791 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.4547 +[2025-03-11 01:12:38,850 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.1359 +[2025-03-11 01:12:38,886 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.6229 +[2025-03-11 01:12:38,935 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2766 +[2025-03-11 01:12:38,977 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.6042 +[2025-03-11 01:12:39,014 INFO hook.py line 748 2389709] Test: [48/78] Loss 2.1350 +[2025-03-11 01:12:39,045 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1812 +[2025-03-11 01:12:39,078 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0738 +[2025-03-11 01:12:39,113 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.6877 +[2025-03-11 01:12:39,149 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6404 +[2025-03-11 01:12:39,182 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2255 +[2025-03-11 01:12:39,217 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0673 +[2025-03-11 01:12:39,255 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4174 +[2025-03-11 01:12:39,297 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.5066 +[2025-03-11 01:12:39,329 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9256 +[2025-03-11 01:12:39,355 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.8826 +[2025-03-11 01:12:39,396 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0514 +[2025-03-11 01:12:39,438 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6229 +[2025-03-11 01:12:39,467 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.1697 +[2025-03-11 01:12:39,507 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.4223 +[2025-03-11 01:12:39,543 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2903 +[2025-03-11 01:12:39,601 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.1875 +[2025-03-11 01:12:39,632 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5308 +[2025-03-11 01:12:39,676 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1578 +[2025-03-11 01:12:39,716 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.7027 +[2025-03-11 01:12:39,756 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1311 +[2025-03-11 01:12:39,789 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4196 +[2025-03-11 01:12:39,849 INFO hook.py line 748 2389709] Test: [70/78] Loss 2.0533 +[2025-03-11 01:12:39,893 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6122 +[2025-03-11 01:12:39,951 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0601 +[2025-03-11 01:12:40,008 INFO hook.py line 748 2389709] Test: [73/78] Loss 1.6692 +[2025-03-11 01:12:40,051 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8889 +[2025-03-11 01:12:40,103 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3559 +[2025-03-11 01:12:40,131 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9626 +[2025-03-11 01:12:40,193 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8846 +[2025-03-11 01:12:40,219 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9395 +[2025-03-11 01:12:41,451 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:12:41,452 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:12:41,452 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] wall : 0.7074 0.8987 +[2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] chair : 0.7049 0.9050 +[2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] floor : 0.9439 0.9830 +[2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] table : 0.5528 0.7786 +[2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] door : 0.4688 0.6893 +[2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] couch : 0.6342 0.9446 +[2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] cabinet : 0.0957 0.1238 +[2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] shelf : 0.3194 0.4165 +[2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] desk : 0.3287 0.6134 +[2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] office chair : 0.0004 0.0004 +[2025-03-11 01:12:41,452 INFO hook.py line 689 2389709] bed : 0.6888 0.7849 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] pillow : 0.3999 0.6102 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] sink : 0.5383 0.7437 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] picture : 0.2299 0.3053 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] window : 0.4456 0.7628 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] toilet : 0.7321 0.8904 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] bookshelf : 0.3491 0.5150 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] monitor : 0.7346 0.9259 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] curtain : 0.4118 0.4918 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] book : 0.3750 0.7507 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] armchair : 0.4488 0.5483 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] coffee table : 0.5053 0.7847 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] box : 0.0225 0.0237 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] refrigerator : 0.2515 0.3487 +[2025-03-11 01:12:41,453 INFO hook.py line 689 2389709] lamp : 0.4204 0.7174 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] kitchen cabinet: 0.4363 0.5137 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] towel : 0.1585 0.2732 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] clothes : 0.0892 0.3086 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] tv : 0.6253 0.6980 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] nightstand : 0.4176 0.6883 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] counter : 0.0093 0.0097 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] dresser : 0.0562 0.0690 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] stool : 0.1332 0.4527 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] plant : 0.4098 0.7722 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] ceiling : 0.8921 0.9802 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] bathtub : 0.7666 0.8655 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] end table : 0.0000 0.0000 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] keyboard : 0.0000 0.0000 +[2025-03-11 01:12:41,454 INFO hook.py line 689 2389709] bag : 0.0000 0.0000 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] backpack : 0.3651 0.5942 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] toilet paper : 0.0003 0.0003 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] printer : 0.0002 0.0002 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] tv stand : 0.2580 0.2977 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] whiteboard : 0.2326 0.2626 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] shower curtain : 0.5083 0.6240 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] trash can : 0.4659 0.7314 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] closet : 0.0004 0.0004 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] stairs : 0.4072 0.7333 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] microwave : 0.0217 0.0219 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] stove : 0.1919 0.5263 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] shoe : 0.0000 0.0000 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] computer tower : 0.0003 0.0003 +[2025-03-11 01:12:41,455 INFO hook.py line 689 2389709] bottle : 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] ottoman : 0.0002 0.0002 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] bench : 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] board : 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] washing machine: 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] mirror : 0.1526 0.2202 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] copier : 0.4393 0.7298 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] file cabinet : 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] fan : 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] laptop : 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] shower : 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 +[2025-03-11 01:12:41,456 INFO hook.py line 689 2389709] person : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] paper towel dispenser: 0.2692 0.4401 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] blackboard : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] piano : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] suitcase : 0.0302 0.0313 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] rail : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] radiator : 0.4900 0.6240 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] recycling bin : 0.0035 0.0035 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] wardrobe : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] soap dispenser : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] telephone : 0.0000 0.0000 +[2025-03-11 01:12:41,457 INFO hook.py line 689 2389709] bucket : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] clock : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] light : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] clothes dryer : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:12:41,458 INFO hook.py line 689 2389709] ladder : 0.0000 0.0000 +[2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] bathroom stall : 0.0000 0.0000 +[2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] shower wall : 0.3543 0.6837 +[2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] cup : 0.0000 0.0000 +[2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] jacket : 0.0000 0.0000 +[2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] coffee maker : 0.0000 0.0000 +[2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 +[2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 +[2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 +[2025-03-11 01:12:41,459 INFO hook.py line 689 2389709] windowsill : 0.0000 0.0000 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] bar : 0.0000 0.0000 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] bulletin board : 0.0000 0.0000 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] soap dish : 0.0000 0.0000 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] kitchen counter: 0.3617 0.7094 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] doorframe : 0.1667 0.4941 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] toilet paper dispenser: 0.0000 0.0000 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] mini fridge : 0.0000 0.0000 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] ball : 0.0000 0.0000 +[2025-03-11 01:12:41,460 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] shower curtain rod: 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] water cooler : 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] paper cutter : 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] shower door : 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] ledge : 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:12:41,461 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 +[2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] tissue box : 0.0000 0.0000 +[2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 +[2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 +[2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] vacuum cleaner : 0.0000 0.0000 +[2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:12:41,462 INFO hook.py line 689 2389709] plunger : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] dish rack : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] range hood : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:12:41,463 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] mailbox : 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] divider : 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] bathroom counter: 0.0000 0.0000 +[2025-03-11 01:12:41,464 INFO hook.py line 689 2389709] object : 0.0041 0.0045 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] bathroom vanity: 0.3122 0.4879 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] closet wall : 0.0000 0.0000 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] laundry hamper : 0.0000 0.0000 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] bathroom stall door: 0.0000 0.0000 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] ceiling light : 0.0000 0.0000 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] trash bin : 0.0000 0.0000 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] dumbbell : 0.0000 0.0000 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] stair rail : 0.0011 0.0011 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] bathroom cabinet: 0.0000 0.0000 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:12:41,465 INFO hook.py line 689 2389709] closet rod : 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:12:41,466 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:12:41,467 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:12:41,467 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:12:41,467 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 01:12:41,467 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:12:41,467 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.1017/0.1471/0.7403. +[2025-03-11 01:12:41,468 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:12:41,492 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.1017 +[2025-03-11 01:12:41,492 INFO misc.py line 164 2389709] Currently Best mIoU: 0.1017 +[2025-03-11 01:12:41,492 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:13:12,979 INFO hook.py line 566 2389709] Train: [3/100][50/300] Data 0.002 (0.002) Batch 0.557 (0.507) Remain 04:08:01 loss: 2.1794 Lr: 2.28420e-03 +[2025-03-11 01:13:38,008 INFO hook.py line 566 2389709] Train: [3/100][100/300] Data 0.002 (0.002) Batch 0.516 (0.504) Remain 04:05:58 loss: 1.7214 Lr: 2.51700e-03 +[2025-03-11 01:14:02,391 INFO hook.py line 566 2389709] Train: [3/100][150/300] Data 0.002 (0.002) Batch 0.530 (0.498) Remain 04:02:53 loss: 2.1734 Lr: 2.75236e-03 +[2025-03-11 01:14:26,948 INFO hook.py line 566 2389709] Train: [3/100][200/300] Data 0.003 (0.002) Batch 0.523 (0.496) Remain 04:01:36 loss: 1.4960 Lr: 2.98769e-03 +[2025-03-11 01:14:51,502 INFO hook.py line 566 2389709] Train: [3/100][250/300] Data 0.002 (0.002) Batch 0.497 (0.495) Remain 04:00:39 loss: 1.5469 Lr: 3.22041e-03 +[2025-03-11 01:15:15,224 INFO hook.py line 566 2389709] Train: [3/100][300/300] Data 0.001 (0.002) Batch 0.415 (0.492) Remain 03:58:32 loss: 1.6501 Lr: 3.44798e-03 +[2025-03-11 01:15:15,225 INFO misc.py line 135 2389709] Train result: loss: 1.7814 +[2025-03-11 01:15:15,324 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:16:11,470 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7355 +[2025-03-11 01:16:11,515 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1740 +[2025-03-11 01:16:11,551 INFO hook.py line 748 2389709] Test: [3/78] Loss 1.0037 +[2025-03-11 01:16:11,600 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.8662 +[2025-03-11 01:16:11,637 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.2022 +[2025-03-11 01:16:11,701 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.5912 +[2025-03-11 01:16:11,764 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.5404 +[2025-03-11 01:16:11,796 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6048 +[2025-03-11 01:16:11,849 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.7629 +[2025-03-11 01:16:11,887 INFO hook.py line 748 2389709] Test: [10/78] Loss 2.2695 +[2025-03-11 01:16:11,941 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.4418 +[2025-03-11 01:16:11,987 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2059 +[2025-03-11 01:16:12,036 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.2429 +[2025-03-11 01:16:12,082 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.3546 +[2025-03-11 01:16:12,118 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.6748 +[2025-03-11 01:16:12,176 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.7149 +[2025-03-11 01:16:12,214 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4224 +[2025-03-11 01:16:12,250 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.3306 +[2025-03-11 01:16:12,296 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5200 +[2025-03-11 01:16:12,332 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8358 +[2025-03-11 01:16:12,370 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.9245 +[2025-03-11 01:16:12,411 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0806 +[2025-03-11 01:16:12,445 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7767 +[2025-03-11 01:16:12,499 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9805 +[2025-03-11 01:16:12,541 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7648 +[2025-03-11 01:16:12,586 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.8230 +[2025-03-11 01:16:12,644 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.2058 +[2025-03-11 01:16:12,680 INFO hook.py line 748 2389709] Test: [28/78] Loss 1.2618 +[2025-03-11 01:16:12,715 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2588 +[2025-03-11 01:16:12,771 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.5016 +[2025-03-11 01:16:12,834 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8016 +[2025-03-11 01:16:12,871 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.9810 +[2025-03-11 01:16:12,929 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0958 +[2025-03-11 01:16:12,970 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.3651 +[2025-03-11 01:16:13,006 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1905 +[2025-03-11 01:16:13,046 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7020 +[2025-03-11 01:16:13,088 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.6015 +[2025-03-11 01:16:13,121 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9772 +[2025-03-11 01:16:13,192 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9360 +[2025-03-11 01:16:13,242 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.2688 +[2025-03-11 01:16:13,290 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5379 +[2025-03-11 01:16:13,327 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4856 +[2025-03-11 01:16:13,376 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.5091 +[2025-03-11 01:16:13,435 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0849 +[2025-03-11 01:16:13,477 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.3495 +[2025-03-11 01:16:13,529 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2853 +[2025-03-11 01:16:13,570 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1890 +[2025-03-11 01:16:13,603 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.7623 +[2025-03-11 01:16:13,639 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7166 +[2025-03-11 01:16:13,678 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9643 +[2025-03-11 01:16:13,709 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2552 +[2025-03-11 01:16:13,744 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8271 +[2025-03-11 01:16:13,773 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1261 +[2025-03-11 01:16:13,814 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5603 +[2025-03-11 01:16:13,857 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2173 +[2025-03-11 01:16:13,901 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0972 +[2025-03-11 01:16:13,939 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7765 +[2025-03-11 01:16:13,969 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.7703 +[2025-03-11 01:16:14,008 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9927 +[2025-03-11 01:16:14,044 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7927 +[2025-03-11 01:16:14,070 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.5359 +[2025-03-11 01:16:14,106 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.3615 +[2025-03-11 01:16:14,142 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4950 +[2025-03-11 01:16:14,202 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.1067 +[2025-03-11 01:16:14,229 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.7290 +[2025-03-11 01:16:14,278 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9202 +[2025-03-11 01:16:14,318 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.8204 +[2025-03-11 01:16:14,356 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2714 +[2025-03-11 01:16:14,392 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3784 +[2025-03-11 01:16:14,459 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.5607 +[2025-03-11 01:16:14,506 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8728 +[2025-03-11 01:16:14,561 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8180 +[2025-03-11 01:16:14,614 INFO hook.py line 748 2389709] Test: [73/78] Loss 1.3763 +[2025-03-11 01:16:14,664 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.9802 +[2025-03-11 01:16:14,719 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5663 +[2025-03-11 01:16:14,754 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2494 +[2025-03-11 01:16:14,814 INFO hook.py line 748 2389709] Test: [77/78] Loss 1.1540 +[2025-03-11 01:16:14,840 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9634 +[2025-03-11 01:16:15,971 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:16:15,971 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:16:15,971 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] wall : 0.7322 0.9040 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] chair : 0.6980 0.8208 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] floor : 0.9493 0.9840 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] table : 0.5435 0.7150 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] door : 0.5400 0.6411 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] couch : 0.7183 0.8037 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] cabinet : 0.1374 0.1832 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] shelf : 0.3385 0.8229 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] desk : 0.3435 0.5198 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] office chair : 0.2818 0.5066 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] bed : 0.6979 0.8190 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] pillow : 0.3879 0.5344 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] sink : 0.4907 0.7504 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] picture : 0.2486 0.3623 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] window : 0.4308 0.5605 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] toilet : 0.8473 0.9521 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] bookshelf : 0.1066 0.1099 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] monitor : 0.7252 0.8957 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] curtain : 0.5213 0.5384 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] book : 0.3412 0.4598 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] armchair : 0.5488 0.7492 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] coffee table : 0.3152 0.9489 +[2025-03-11 01:16:15,971 INFO hook.py line 689 2389709] box : 0.1619 0.2569 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] refrigerator : 0.3830 0.6085 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] lamp : 0.4879 0.7017 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] kitchen cabinet: 0.4639 0.5679 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] towel : 0.2491 0.3942 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] clothes : 0.1654 0.2104 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] tv : 0.3126 0.9488 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] nightstand : 0.4748 0.7835 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] counter : 0.0373 0.0431 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] dresser : 0.2064 0.5188 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] stool : 0.0997 0.6322 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] plant : 0.1806 0.2651 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] ceiling : 0.8917 0.9303 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] bathtub : 0.7908 0.8839 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] end table : 0.0118 0.0170 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] keyboard : 0.1406 0.5252 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] bag : 0.0000 0.0000 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] backpack : 0.0774 0.0778 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] toilet paper : 0.2169 0.6022 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] printer : 0.2468 0.6130 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] tv stand : 0.4524 0.6201 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] whiteboard : 0.3137 0.3812 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] shower curtain : 0.5638 0.6456 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] trash can : 0.3749 0.5614 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] closet : 0.0022 0.0023 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] stairs : 0.1946 0.7560 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] microwave : 0.1663 0.5616 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] stove : 0.4777 0.7507 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] shoe : 0.3082 0.4577 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] computer tower : 0.1440 0.4421 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] bottle : 0.0000 0.0000 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] ottoman : 0.0883 0.2047 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] bench : 0.0195 0.0201 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] board : 0.0036 0.0040 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] washing machine: 0.1068 0.1194 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] mirror : 0.1728 0.3304 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] copier : 0.2260 0.9273 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:16:15,972 INFO hook.py line 689 2389709] sofa chair : 0.0211 0.0246 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] file cabinet : 0.1621 0.3754 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] fan : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] laptop : 0.0102 0.0104 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] shower : 0.0017 0.0017 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] person : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] paper towel dispenser: 0.3739 0.5210 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] blackboard : 0.2575 0.5797 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] piano : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] suitcase : 0.2455 0.6494 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] rail : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] radiator : 0.4082 0.6928 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] recycling bin : 0.1683 0.4467 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] wardrobe : 0.0048 0.0048 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] soap dispenser : 0.2266 0.5895 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] telephone : 0.0257 0.0384 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] bucket : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] clock : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] light : 0.0163 0.0181 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] clothes dryer : 0.0330 0.0348 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] ladder : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] bathroom stall : 0.0843 0.1009 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] shower wall : 0.4423 0.5852 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] cup : 0.0459 0.1224 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] jacket : 0.0200 0.0357 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] coffee maker : 0.0327 0.0656 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 +[2025-03-11 01:16:15,973 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] windowsill : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] bar : 0.1313 0.4604 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] bulletin board : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] soap dish : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] kitchen counter: 0.4138 0.6632 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] doorframe : 0.2059 0.3092 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] toilet paper dispenser: 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] mini fridge : 0.0930 0.0974 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] ball : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] shower curtain rod: 0.1875 0.6764 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] water cooler : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] paper cutter : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] shower door : 0.0009 0.0009 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] ledge : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] tissue box : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] vacuum cleaner : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] plunger : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:16:15,974 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] dish rack : 0.0339 0.0700 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] range hood : 0.5465 0.7279 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] shower floor : 0.6725 0.9767 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] mailbox : 0.1322 0.1399 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] divider : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] bathroom counter: 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] object : 0.0289 0.0445 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] bathroom vanity: 0.2568 0.8352 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] closet wall : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] laundry hamper : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] bathroom stall door: 0.1271 0.1542 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] ceiling light : 0.0507 0.0590 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] trash bin : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] dumbbell : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] stair rail : 0.0062 0.0064 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] bathroom cabinet: 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] closet rod : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:16:15,975 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:16:15,976 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 01:16:15,976 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:16:15,976 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.1281/0.2053/0.7389. +[2025-03-11 01:16:15,976 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:16:15,993 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.1281 +[2025-03-11 01:16:15,993 INFO misc.py line 164 2389709] Currently Best mIoU: 0.1281 +[2025-03-11 01:16:15,993 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:16:46,644 INFO hook.py line 566 2389709] Train: [4/100][50/300] Data 0.002 (0.002) Batch 0.485 (0.493) Remain 03:58:54 loss: 1.8139 Lr: 3.66788e-03 +[2025-03-11 01:17:11,227 INFO hook.py line 566 2389709] Train: [4/100][100/300] Data 0.002 (0.002) Batch 0.488 (0.493) Remain 03:58:02 loss: 1.7290 Lr: 3.87772e-03 +[2025-03-11 01:17:35,943 INFO hook.py line 566 2389709] Train: [4/100][150/300] Data 0.002 (0.002) Batch 0.484 (0.493) Remain 03:57:55 loss: 2.0531 Lr: 4.07519e-03 +[2025-03-11 01:18:00,844 INFO hook.py line 566 2389709] Train: [4/100][200/300] Data 0.002 (0.002) Batch 0.436 (0.494) Remain 03:58:07 loss: 1.4940 Lr: 4.25811e-03 +[2025-03-11 01:18:25,610 INFO hook.py line 566 2389709] Train: [4/100][250/300] Data 0.002 (0.002) Batch 0.564 (0.495) Remain 03:57:48 loss: 1.7817 Lr: 4.42449e-03 +[2025-03-11 01:18:49,744 INFO hook.py line 566 2389709] Train: [4/100][300/300] Data 0.002 (0.002) Batch 0.477 (0.493) Remain 03:56:25 loss: 1.3944 Lr: 4.57250e-03 +[2025-03-11 01:18:49,744 INFO misc.py line 135 2389709] Train result: loss: 1.6622 +[2025-03-11 01:18:49,854 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:19:38,129 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.8641 +[2025-03-11 01:19:38,255 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.3884 +[2025-03-11 01:19:38,304 INFO hook.py line 748 2389709] Test: [3/78] Loss 1.1566 +[2025-03-11 01:19:38,356 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.9399 +[2025-03-11 01:19:38,397 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.9328 +[2025-03-11 01:19:38,455 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9258 +[2025-03-11 01:19:38,511 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.6620 +[2025-03-11 01:19:38,541 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.7580 +[2025-03-11 01:19:38,586 INFO hook.py line 748 2389709] Test: [9/78] Loss 2.2085 +[2025-03-11 01:19:38,622 INFO hook.py line 748 2389709] Test: [10/78] Loss 2.2135 +[2025-03-11 01:19:38,675 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.4862 +[2025-03-11 01:19:38,709 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.7103 +[2025-03-11 01:19:38,757 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.1821 +[2025-03-11 01:19:38,794 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.9839 +[2025-03-11 01:19:38,831 INFO hook.py line 748 2389709] Test: [15/78] Loss 3.0015 +[2025-03-11 01:19:38,879 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.6131 +[2025-03-11 01:19:38,921 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4034 +[2025-03-11 01:19:38,961 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.6024 +[2025-03-11 01:19:39,011 INFO hook.py line 748 2389709] Test: [19/78] Loss 3.1376 +[2025-03-11 01:19:39,047 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6695 +[2025-03-11 01:19:39,086 INFO hook.py line 748 2389709] Test: [21/78] Loss 1.0900 +[2025-03-11 01:19:39,132 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9348 +[2025-03-11 01:19:39,169 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.9140 +[2025-03-11 01:19:39,224 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.3161 +[2025-03-11 01:19:39,266 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.4831 +[2025-03-11 01:19:39,307 INFO hook.py line 748 2389709] Test: [26/78] Loss 3.4846 +[2025-03-11 01:19:39,361 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.3589 +[2025-03-11 01:19:39,399 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8312 +[2025-03-11 01:19:39,427 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2916 +[2025-03-11 01:19:39,577 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.8862 +[2025-03-11 01:19:39,635 INFO hook.py line 748 2389709] Test: [31/78] Loss 1.1322 +[2025-03-11 01:19:39,675 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6448 +[2025-03-11 01:19:39,733 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.8232 +[2025-03-11 01:19:39,772 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.7018 +[2025-03-11 01:19:39,809 INFO hook.py line 748 2389709] Test: [35/78] Loss 2.0703 +[2025-03-11 01:19:39,848 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5879 +[2025-03-11 01:19:39,887 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.9786 +[2025-03-11 01:19:39,916 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.4959 +[2025-03-11 01:19:39,984 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4333 +[2025-03-11 01:19:40,034 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.5052 +[2025-03-11 01:19:40,080 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.8626 +[2025-03-11 01:19:40,113 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.9289 +[2025-03-11 01:19:40,149 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.9188 +[2025-03-11 01:19:40,207 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.6025 +[2025-03-11 01:19:40,241 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.8552 +[2025-03-11 01:19:40,289 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.3120 +[2025-03-11 01:19:40,329 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2906 +[2025-03-11 01:19:40,364 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.4355 +[2025-03-11 01:19:40,395 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3104 +[2025-03-11 01:19:40,427 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.4217 +[2025-03-11 01:19:40,459 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2976 +[2025-03-11 01:19:40,494 INFO hook.py line 748 2389709] Test: [52/78] Loss 2.1154 +[2025-03-11 01:19:40,524 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.5537 +[2025-03-11 01:19:40,568 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.4074 +[2025-03-11 01:19:40,607 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1640 +[2025-03-11 01:19:40,652 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.7767 +[2025-03-11 01:19:40,688 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8173 +[2025-03-11 01:19:40,719 INFO hook.py line 748 2389709] Test: [58/78] Loss 3.0784 +[2025-03-11 01:19:40,759 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.3502 +[2025-03-11 01:19:40,797 INFO hook.py line 748 2389709] Test: [60/78] Loss 1.0722 +[2025-03-11 01:19:40,827 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.2337 +[2025-03-11 01:19:40,862 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.7858 +[2025-03-11 01:19:40,899 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.9796 +[2025-03-11 01:19:40,959 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.5429 +[2025-03-11 01:19:40,987 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1959 +[2025-03-11 01:19:41,032 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8875 +[2025-03-11 01:19:41,072 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.9266 +[2025-03-11 01:19:41,108 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3295 +[2025-03-11 01:19:41,139 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4899 +[2025-03-11 01:19:41,199 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3959 +[2025-03-11 01:19:41,246 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8144 +[2025-03-11 01:19:41,302 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9129 +[2025-03-11 01:19:41,355 INFO hook.py line 748 2389709] Test: [73/78] Loss 2.5202 +[2025-03-11 01:19:41,398 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8816 +[2025-03-11 01:19:41,450 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.8437 +[2025-03-11 01:19:41,479 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9453 +[2025-03-11 01:19:41,539 INFO hook.py line 748 2389709] Test: [77/78] Loss 1.6308 +[2025-03-11 01:19:41,565 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9776 +[2025-03-11 01:19:42,989 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:19:42,989 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:19:42,989 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] wall : 0.5846 0.6445 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] chair : 0.7069 0.8560 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] floor : 0.9491 0.9830 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] table : 0.5143 0.6378 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] door : 0.3366 0.5772 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] couch : 0.6344 0.8297 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] cabinet : 0.0692 0.0889 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] shelf : 0.3942 0.6546 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] desk : 0.4098 0.7263 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] office chair : 0.0129 0.0132 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] bed : 0.6918 0.7569 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] pillow : 0.3694 0.5530 +[2025-03-11 01:19:42,989 INFO hook.py line 689 2389709] sink : 0.4595 0.5115 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] picture : 0.2072 0.5094 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] window : 0.3473 0.7884 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] toilet : 0.8246 0.9475 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] bookshelf : 0.3302 0.4752 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] monitor : 0.6782 0.8963 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] curtain : 0.4695 0.7407 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] book : 0.3541 0.7054 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] armchair : 0.3455 0.3907 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] coffee table : 0.6155 0.8561 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] box : 0.1560 0.2173 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] refrigerator : 0.1645 0.7712 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] lamp : 0.4212 0.7254 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] kitchen cabinet: 0.3743 0.7681 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] towel : 0.1245 0.1735 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] clothes : 0.1244 0.4236 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] tv : 0.3685 0.9365 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] nightstand : 0.3104 0.7355 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] counter : 0.2038 0.3609 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] dresser : 0.1620 0.2793 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] stool : 0.2246 0.6321 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] plant : 0.4545 0.8060 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] ceiling : 0.8852 0.9412 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] bathtub : 0.8031 0.8226 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] end table : 0.0089 0.0149 +[2025-03-11 01:19:42,990 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] keyboard : 0.1712 0.5747 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] bag : 0.0095 0.0100 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] backpack : 0.4682 0.5895 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] toilet paper : 0.2542 0.5615 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] printer : 0.1184 0.2891 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] tv stand : 0.5548 0.8714 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] whiteboard : 0.2846 0.6820 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] shower curtain : 0.5155 0.6035 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] trash can : 0.4792 0.6590 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] closet : 0.0063 0.0066 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] stairs : 0.4268 0.5315 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] microwave : 0.1289 0.6048 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] stove : 0.2084 0.9243 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] shoe : 0.3538 0.6673 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] computer tower : 0.2704 0.8397 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] bottle : 0.0000 0.0000 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] ottoman : 0.2142 0.3239 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] bench : 0.0027 0.0027 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] board : 0.0098 0.0115 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] washing machine: 0.5152 0.8241 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] mirror : 0.1579 0.1732 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] copier : 0.3873 0.9114 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] file cabinet : 0.1676 0.2746 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] fan : 0.0032 0.0032 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] laptop : 0.1634 0.1992 +[2025-03-11 01:19:42,991 INFO hook.py line 689 2389709] shower : 0.0060 0.0060 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] person : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] paper towel dispenser: 0.4471 0.6131 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] blackboard : 0.2789 0.5429 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] piano : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] suitcase : 0.0904 0.1125 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] rail : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] radiator : 0.3815 0.6927 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] recycling bin : 0.2418 0.3482 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] wardrobe : 0.0291 0.0558 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] soap dispenser : 0.3464 0.4182 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] telephone : 0.0575 0.3645 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] bucket : 0.0063 0.0068 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] clock : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] light : 0.0145 0.0207 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] laundry basket : 0.0111 0.0128 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] clothes dryer : 0.1823 0.2143 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:19:42,992 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] ladder : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] bathroom stall : 0.0108 0.0110 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] shower wall : 0.3779 0.5488 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] cup : 0.0488 0.5938 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] jacket : 0.0588 0.1304 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] coffee maker : 0.2172 0.8095 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] windowsill : 0.0134 0.0136 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] bar : 0.1720 0.5430 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] bulletin board : 0.0283 0.0327 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] soap dish : 0.0259 0.0269 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] kitchen counter: 0.3219 0.4653 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] doorframe : 0.1801 0.3915 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] toilet paper dispenser: 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] mini fridge : 0.0647 0.1380 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] ball : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] shower curtain rod: 0.1290 0.6843 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] water cooler : 0.0008 0.0010 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] paper cutter : 0.0000 0.0000 +[2025-03-11 01:19:42,993 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] shower door : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] ledge : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] toaster oven : 0.0016 0.0016 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.0101 0.0102 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] tissue box : 0.0588 0.1445 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] vacuum cleaner : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] plunger : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] dish rack : 0.0480 0.2531 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] range hood : 0.3461 0.8233 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:19:42,994 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] shower floor : 0.6474 0.8727 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] mailbox : 0.1703 0.2337 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] divider : 0.0445 0.0446 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] bathroom counter: 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] object : 0.0180 0.0255 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] bathroom vanity: 0.2684 0.4872 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] closet wall : 0.0336 0.0705 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] laundry hamper : 0.0012 0.0012 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] bathroom stall door: 0.1604 0.3025 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] ceiling light : 0.1668 0.5776 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] trash bin : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] dumbbell : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] stair rail : 0.0014 0.0014 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] bathroom cabinet: 0.0801 0.1126 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] closet rod : 0.0802 0.0815 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 01:19:42,995 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 01:19:42,996 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:19:42,996 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.1342/0.2287/0.6955. +[2025-03-11 01:19:42,996 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:19:43,010 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.1342 +[2025-03-11 01:19:43,010 INFO misc.py line 164 2389709] Currently Best mIoU: 0.1342 +[2025-03-11 01:19:43,010 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:20:13,572 INFO hook.py line 566 2389709] Train: [5/100][50/300] Data 0.002 (0.002) Batch 0.508 (0.502) Remain 04:00:39 loss: 1.5993 Lr: 4.70052e-03 +[2025-03-11 01:20:38,618 INFO hook.py line 566 2389709] Train: [5/100][100/300] Data 0.003 (0.002) Batch 0.486 (0.502) Remain 03:59:54 loss: 1.5257 Lr: 4.80714e-03 +[2025-03-11 01:21:03,339 INFO hook.py line 566 2389709] Train: [5/100][150/300] Data 0.003 (0.002) Batch 0.449 (0.499) Remain 03:58:19 loss: 1.5910 Lr: 4.89118e-03 +[2025-03-11 01:21:28,192 INFO hook.py line 566 2389709] Train: [5/100][200/300] Data 0.002 (0.002) Batch 0.485 (0.499) Remain 03:57:40 loss: 1.6208 Lr: 4.95174e-03 +[2025-03-11 01:21:52,611 INFO hook.py line 566 2389709] Train: [5/100][250/300] Data 0.002 (0.002) Batch 0.417 (0.497) Remain 03:56:15 loss: 1.0091 Lr: 4.98815e-03 +[2025-03-11 01:22:16,112 INFO hook.py line 566 2389709] Train: [5/100][300/300] Data 0.002 (0.002) Batch 0.513 (0.492) Remain 03:53:44 loss: 1.6319 Lr: 5.00000e-03 +[2025-03-11 01:22:16,112 INFO misc.py line 135 2389709] Train result: loss: 1.5604 +[2025-03-11 01:22:16,242 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:23:11,267 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7007 +[2025-03-11 01:23:11,312 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5174 +[2025-03-11 01:23:11,345 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8769 +[2025-03-11 01:23:11,399 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5740 +[2025-03-11 01:23:11,439 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.5128 +[2025-03-11 01:23:11,495 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7467 +[2025-03-11 01:23:11,549 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.3625 +[2025-03-11 01:23:11,583 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6350 +[2025-03-11 01:23:11,633 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.7629 +[2025-03-11 01:23:11,678 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3863 +[2025-03-11 01:23:11,726 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2196 +[2025-03-11 01:23:11,760 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0823 +[2025-03-11 01:23:11,809 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0235 +[2025-03-11 01:23:11,848 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.3454 +[2025-03-11 01:23:11,884 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.5311 +[2025-03-11 01:23:11,935 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.8790 +[2025-03-11 01:23:11,973 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3668 +[2025-03-11 01:23:12,009 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9107 +[2025-03-11 01:23:12,058 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4211 +[2025-03-11 01:23:12,094 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4453 +[2025-03-11 01:23:12,135 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7480 +[2025-03-11 01:23:12,179 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8205 +[2025-03-11 01:23:12,222 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6628 +[2025-03-11 01:23:12,276 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9768 +[2025-03-11 01:23:12,321 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.0622 +[2025-03-11 01:23:12,363 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2772 +[2025-03-11 01:23:12,422 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5030 +[2025-03-11 01:23:12,462 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9436 +[2025-03-11 01:23:12,496 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9839 +[2025-03-11 01:23:12,557 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.0033 +[2025-03-11 01:23:12,615 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7524 +[2025-03-11 01:23:12,652 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3319 +[2025-03-11 01:23:12,714 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1236 +[2025-03-11 01:23:12,753 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.0629 +[2025-03-11 01:23:12,790 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1033 +[2025-03-11 01:23:12,832 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5748 +[2025-03-11 01:23:12,886 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0382 +[2025-03-11 01:23:12,925 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9586 +[2025-03-11 01:23:12,999 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0196 +[2025-03-11 01:23:13,047 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8964 +[2025-03-11 01:23:13,092 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3007 +[2025-03-11 01:23:13,125 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6704 +[2025-03-11 01:23:13,161 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3938 +[2025-03-11 01:23:13,219 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.1179 +[2025-03-11 01:23:13,256 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7323 +[2025-03-11 01:23:13,309 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.3296 +[2025-03-11 01:23:13,350 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1274 +[2025-03-11 01:23:13,385 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3517 +[2025-03-11 01:23:13,416 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4953 +[2025-03-11 01:23:13,449 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0544 +[2025-03-11 01:23:13,484 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0708 +[2025-03-11 01:23:13,521 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5959 +[2025-03-11 01:23:13,554 INFO hook.py line 748 2389709] Test: [53/78] Loss 0.9517 +[2025-03-11 01:23:13,589 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.7275 +[2025-03-11 01:23:13,626 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1842 +[2025-03-11 01:23:13,668 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0735 +[2025-03-11 01:23:13,701 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6802 +[2025-03-11 01:23:13,728 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.7047 +[2025-03-11 01:23:13,771 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0737 +[2025-03-11 01:23:13,811 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7445 +[2025-03-11 01:23:13,841 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9826 +[2025-03-11 01:23:13,881 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0905 +[2025-03-11 01:23:13,918 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2746 +[2025-03-11 01:23:13,975 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9837 +[2025-03-11 01:23:14,007 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.8358 +[2025-03-11 01:23:14,050 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5591 +[2025-03-11 01:23:14,089 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.4470 +[2025-03-11 01:23:14,130 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2052 +[2025-03-11 01:23:14,164 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.5917 +[2025-03-11 01:23:14,224 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2552 +[2025-03-11 01:23:14,268 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6473 +[2025-03-11 01:23:14,326 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6260 +[2025-03-11 01:23:14,383 INFO hook.py line 748 2389709] Test: [73/78] Loss 1.2959 +[2025-03-11 01:23:14,426 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.6599 +[2025-03-11 01:23:14,478 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7911 +[2025-03-11 01:23:14,507 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7790 +[2025-03-11 01:23:14,569 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.9089 +[2025-03-11 01:23:14,595 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8991 +[2025-03-11 01:23:15,875 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:23:15,876 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:23:15,876 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] wall : 0.7391 0.8354 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] chair : 0.6933 0.8449 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] floor : 0.9515 0.9801 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] table : 0.5576 0.7726 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] door : 0.5221 0.7415 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] couch : 0.7168 0.8333 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] cabinet : 0.1452 0.1746 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] shelf : 0.3739 0.5027 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] desk : 0.4030 0.5258 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] office chair : 0.0000 0.0000 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] bed : 0.7327 0.8054 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] pillow : 0.3949 0.4790 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] sink : 0.5273 0.7579 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] picture : 0.2981 0.4747 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] window : 0.4592 0.8148 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] toilet : 0.8663 0.9443 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] bookshelf : 0.4133 0.4829 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] monitor : 0.6436 0.9279 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] curtain : 0.5868 0.8284 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] book : 0.3910 0.7259 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] armchair : 0.4247 0.9151 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] coffee table : 0.5314 0.8864 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] box : 0.2112 0.2900 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] refrigerator : 0.4293 0.7759 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] lamp : 0.4815 0.6910 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] kitchen cabinet: 0.5313 0.8070 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] towel : 0.2720 0.4291 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] clothes : 0.1626 0.3899 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] tv : 0.5116 0.8794 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] nightstand : 0.5825 0.7264 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] counter : 0.0510 0.0597 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] dresser : 0.2639 0.3997 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] stool : 0.2133 0.7495 +[2025-03-11 01:23:15,876 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] plant : 0.5541 0.8184 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] ceiling : 0.8970 0.9376 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] bathtub : 0.7899 0.8262 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] end table : 0.0547 0.0998 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] keyboard : 0.1287 0.6584 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] bag : 0.0115 0.0119 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] backpack : 0.4262 0.7926 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] toilet paper : 0.3407 0.5838 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] printer : 0.1934 0.5461 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] tv stand : 0.4082 0.8913 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] whiteboard : 0.4073 0.6090 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] shower curtain : 0.5344 0.8472 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] trash can : 0.4108 0.6102 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] closet : 0.0017 0.0017 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] stairs : 0.5725 0.6098 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] microwave : 0.2090 0.6574 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] stove : 0.3851 0.8224 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] shoe : 0.3335 0.5778 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] computer tower : 0.2092 0.8808 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] bottle : 0.0015 0.0020 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] ottoman : 0.1871 0.5933 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] bench : 0.3143 0.4931 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] board : 0.0693 0.1143 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] washing machine: 0.5355 0.7518 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] mirror : 0.2493 0.3420 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] copier : 0.4525 0.8565 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] sofa chair : 0.0003 0.0003 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] file cabinet : 0.1793 0.3757 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] fan : 0.1415 0.2679 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] laptop : 0.1712 0.3186 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] shower : 0.0322 0.0325 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] person : 0.0000 0.0000 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] paper towel dispenser: 0.4607 0.7746 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] blinds : 0.0058 0.0058 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] blackboard : 0.4142 0.5817 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] piano : 0.0060 0.0093 +[2025-03-11 01:23:15,877 INFO hook.py line 689 2389709] suitcase : 0.3178 0.6240 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] rail : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] radiator : 0.5417 0.6407 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] recycling bin : 0.2049 0.5745 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] wardrobe : 0.0909 0.1424 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] soap dispenser : 0.4257 0.8275 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] telephone : 0.0377 0.0527 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] bucket : 0.0091 0.0094 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] clock : 0.0670 0.0709 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] light : 0.2820 0.3931 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] laundry basket : 0.0091 0.0112 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] clothes dryer : 0.2017 0.2179 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] guitar : 0.0082 0.0199 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] ladder : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] bathroom stall : 0.1350 0.1585 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] shower wall : 0.4401 0.6587 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] cup : 0.0430 0.7116 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] jacket : 0.0251 0.0579 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] storage bin : 0.0018 0.0018 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] coffee maker : 0.1717 0.8424 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] mat : 0.0179 0.0194 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] windowsill : 0.0380 0.0390 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] bar : 0.2628 0.6489 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] bulletin board : 0.1612 0.2565 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] soap dish : 0.1977 0.3895 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] kitchen counter: 0.4011 0.7905 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] doorframe : 0.2762 0.4326 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] toilet paper dispenser: 0.0014 0.0014 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] mini fridge : 0.1348 0.2362 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] ball : 0.0000 0.0000 +[2025-03-11 01:23:15,878 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] shower curtain rod: 0.1311 0.8704 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] water cooler : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] paper cutter : 0.0420 0.1628 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] shower door : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] ledge : 0.0118 0.0137 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] toaster oven : 0.0160 0.0227 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.2067 0.2310 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] tissue box : 0.0747 0.1130 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] vacuum cleaner : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] plunger : 0.0871 0.7217 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] dish rack : 0.0660 0.5691 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] range hood : 0.3820 0.8161 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] shower floor : 0.9037 0.9552 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] mailbox : 0.3722 0.4076 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:23:15,879 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] divider : 0.2724 0.4819 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] bathroom counter: 0.0059 0.0061 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] object : 0.0381 0.0660 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] bathroom vanity: 0.4066 0.6062 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] closet wall : 0.0683 0.1617 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] laundry hamper : 0.0152 0.0218 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] bathroom stall door: 0.2990 0.6409 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] ceiling light : 0.1726 0.2016 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] trash bin : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] dumbbell : 0.0693 0.6677 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] stair rail : 0.0750 0.0946 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] bathroom cabinet: 0.2179 0.2547 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] closet rod : 0.1490 0.8856 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 01:23:15,880 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:23:15,880 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.1688/0.2828/0.7611. +[2025-03-11 01:23:15,881 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:23:15,897 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.1688 +[2025-03-11 01:23:15,898 INFO misc.py line 164 2389709] Currently Best mIoU: 0.1688 +[2025-03-11 01:23:15,898 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:23:45,912 INFO hook.py line 566 2389709] Train: [6/100][50/300] Data 0.002 (0.003) Batch 0.485 (0.494) Remain 03:54:23 loss: 1.7885 Lr: 4.99996e-03 +[2025-03-11 01:24:10,573 INFO hook.py line 566 2389709] Train: [6/100][100/300] Data 0.003 (0.002) Batch 0.467 (0.494) Remain 03:53:42 loss: 1.3768 Lr: 4.99985e-03 +[2025-03-11 01:24:35,479 INFO hook.py line 566 2389709] Train: [6/100][150/300] Data 0.002 (0.002) Batch 0.493 (0.495) Remain 03:53:59 loss: 1.3051 Lr: 4.99965e-03 +[2025-03-11 01:25:00,152 INFO hook.py line 566 2389709] Train: [6/100][200/300] Data 0.002 (0.002) Batch 0.433 (0.495) Remain 03:53:22 loss: 1.4123 Lr: 4.99939e-03 +[2025-03-11 01:25:24,733 INFO hook.py line 566 2389709] Train: [6/100][250/300] Data 0.002 (0.002) Batch 0.549 (0.494) Remain 03:52:39 loss: 1.7097 Lr: 4.99904e-03 +[2025-03-11 01:25:48,617 INFO hook.py line 566 2389709] Train: [6/100][300/300] Data 0.001 (0.002) Batch 0.466 (0.491) Remain 03:50:56 loss: 1.2074 Lr: 4.99862e-03 +[2025-03-11 01:25:48,617 INFO misc.py line 135 2389709] Train result: loss: 1.4527 +[2025-03-11 01:25:48,710 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:26:43,723 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6472 +[2025-03-11 01:26:43,852 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.9089 +[2025-03-11 01:26:43,895 INFO hook.py line 748 2389709] Test: [3/78] Loss 1.0445 +[2025-03-11 01:26:43,943 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6015 +[2025-03-11 01:26:43,983 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.4149 +[2025-03-11 01:26:44,041 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8780 +[2025-03-11 01:26:44,100 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.1581 +[2025-03-11 01:26:44,127 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3427 +[2025-03-11 01:26:44,173 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.8191 +[2025-03-11 01:26:44,213 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.5513 +[2025-03-11 01:26:44,268 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3206 +[2025-03-11 01:26:44,301 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3360 +[2025-03-11 01:26:44,353 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.6050 +[2025-03-11 01:26:44,391 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9328 +[2025-03-11 01:26:44,430 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2564 +[2025-03-11 01:26:44,476 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.2882 +[2025-03-11 01:26:44,517 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1935 +[2025-03-11 01:26:44,557 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8976 +[2025-03-11 01:26:44,606 INFO hook.py line 748 2389709] Test: [19/78] Loss 1.9840 +[2025-03-11 01:26:44,643 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4527 +[2025-03-11 01:26:44,683 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.9338 +[2025-03-11 01:26:44,729 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0595 +[2025-03-11 01:26:44,758 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.8234 +[2025-03-11 01:26:44,808 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9579 +[2025-03-11 01:26:44,856 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7469 +[2025-03-11 01:26:44,898 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7007 +[2025-03-11 01:26:44,952 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0398 +[2025-03-11 01:26:44,987 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6860 +[2025-03-11 01:26:45,019 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1178 +[2025-03-11 01:26:45,084 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7891 +[2025-03-11 01:26:45,144 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6631 +[2025-03-11 01:26:45,196 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3427 +[2025-03-11 01:26:45,258 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.3298 +[2025-03-11 01:26:45,300 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.7696 +[2025-03-11 01:26:45,337 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4026 +[2025-03-11 01:26:45,374 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5038 +[2025-03-11 01:26:45,419 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7625 +[2025-03-11 01:26:45,448 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.2356 +[2025-03-11 01:26:45,520 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.4077 +[2025-03-11 01:26:45,568 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.1076 +[2025-03-11 01:26:45,614 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1378 +[2025-03-11 01:26:45,643 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6326 +[2025-03-11 01:26:45,682 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3175 +[2025-03-11 01:26:45,744 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.1171 +[2025-03-11 01:26:45,789 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.3604 +[2025-03-11 01:26:45,839 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1400 +[2025-03-11 01:26:45,877 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0976 +[2025-03-11 01:26:45,915 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2521 +[2025-03-11 01:26:45,951 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7575 +[2025-03-11 01:26:45,983 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9907 +[2025-03-11 01:26:46,014 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2762 +[2025-03-11 01:26:46,048 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6959 +[2025-03-11 01:26:46,076 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3811 +[2025-03-11 01:26:46,110 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9002 +[2025-03-11 01:26:46,148 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0269 +[2025-03-11 01:26:46,189 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1725 +[2025-03-11 01:26:46,222 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7630 +[2025-03-11 01:26:46,247 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.3807 +[2025-03-11 01:26:46,285 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9116 +[2025-03-11 01:26:46,321 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5943 +[2025-03-11 01:26:46,346 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0495 +[2025-03-11 01:26:46,393 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.4040 +[2025-03-11 01:26:46,430 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4195 +[2025-03-11 01:26:46,487 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7547 +[2025-03-11 01:26:46,515 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.8662 +[2025-03-11 01:26:46,558 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7056 +[2025-03-11 01:26:46,598 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1878 +[2025-03-11 01:26:46,646 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1605 +[2025-03-11 01:26:46,679 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3354 +[2025-03-11 01:26:46,740 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0751 +[2025-03-11 01:26:46,783 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5404 +[2025-03-11 01:26:46,838 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5552 +[2025-03-11 01:26:46,891 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7913 +[2025-03-11 01:26:46,934 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8762 +[2025-03-11 01:26:46,985 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5416 +[2025-03-11 01:26:47,013 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9588 +[2025-03-11 01:26:47,072 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6884 +[2025-03-11 01:26:47,099 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0271 +[2025-03-11 01:26:48,400 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:26:48,400 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:26:48,400 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:26:48,400 INFO hook.py line 689 2389709] wall : 0.7079 0.8332 +[2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] chair : 0.7424 0.8789 +[2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] floor : 0.9528 0.9793 +[2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] table : 0.6183 0.7650 +[2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] door : 0.5540 0.6336 +[2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] couch : 0.6918 0.8827 +[2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] cabinet : 0.2199 0.3301 +[2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] shelf : 0.2715 0.4046 +[2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] desk : 0.4904 0.7514 +[2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] office chair : 0.0488 0.0518 +[2025-03-11 01:26:48,401 INFO hook.py line 689 2389709] bed : 0.7372 0.8410 +[2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] pillow : 0.4709 0.6874 +[2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] sink : 0.5873 0.6747 +[2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] picture : 0.3240 0.4790 +[2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] window : 0.4483 0.5627 +[2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] toilet : 0.8741 0.9592 +[2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] bookshelf : 0.4078 0.7107 +[2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] monitor : 0.8044 0.8634 +[2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] curtain : 0.6132 0.6810 +[2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] book : 0.3934 0.7199 +[2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] armchair : 0.4512 0.5802 +[2025-03-11 01:26:48,402 INFO hook.py line 689 2389709] coffee table : 0.5533 0.8972 +[2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] box : 0.2438 0.4227 +[2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] refrigerator : 0.5572 0.5966 +[2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] lamp : 0.5638 0.7480 +[2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] kitchen cabinet: 0.5659 0.7276 +[2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] towel : 0.2965 0.3929 +[2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] clothes : 0.1203 0.4973 +[2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] tv : 0.6679 0.8054 +[2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] nightstand : 0.4733 0.8552 +[2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] counter : 0.1959 0.4653 +[2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] dresser : 0.0454 0.0472 +[2025-03-11 01:26:48,403 INFO hook.py line 689 2389709] stool : 0.3339 0.6461 +[2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] plant : 0.5050 0.7038 +[2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] ceiling : 0.9164 0.9643 +[2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] bathtub : 0.8210 0.8810 +[2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] end table : 0.0411 0.0507 +[2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] keyboard : 0.2463 0.5477 +[2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] bag : 0.1165 0.2417 +[2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] backpack : 0.4890 0.6963 +[2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] toilet paper : 0.3492 0.4817 +[2025-03-11 01:26:48,404 INFO hook.py line 689 2389709] printer : 0.2116 0.2320 +[2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] tv stand : 0.4903 0.5306 +[2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] whiteboard : 0.1964 0.8333 +[2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] blanket : 0.0007 0.0008 +[2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] shower curtain : 0.5158 0.5944 +[2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] trash can : 0.5083 0.8127 +[2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] closet : 0.0159 0.0260 +[2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] stairs : 0.3339 0.3467 +[2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] microwave : 0.2665 0.5292 +[2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] stove : 0.5603 0.8129 +[2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] shoe : 0.3513 0.6555 +[2025-03-11 01:26:48,405 INFO hook.py line 689 2389709] computer tower : 0.4355 0.7805 +[2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] bottle : 0.0005 0.0006 +[2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] ottoman : 0.3453 0.5909 +[2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] bench : 0.0419 0.0435 +[2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] board : 0.0819 0.2720 +[2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] washing machine: 0.6765 0.8400 +[2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] mirror : 0.3171 0.4094 +[2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] copier : 0.7043 0.9185 +[2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 +[2025-03-11 01:26:48,406 INFO hook.py line 689 2389709] file cabinet : 0.2813 0.3542 +[2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] fan : 0.1199 0.1233 +[2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] laptop : 0.2461 0.3750 +[2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] shower : 0.1352 0.1453 +[2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] paper : 0.0805 0.1234 +[2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] person : 0.0361 0.0384 +[2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] paper towel dispenser: 0.5020 0.7214 +[2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] oven : 0.0073 0.0074 +[2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:26:48,407 INFO hook.py line 689 2389709] blackboard : 0.4641 0.6912 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] piano : 0.0244 0.0252 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] suitcase : 0.4246 0.5645 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] rail : 0.0016 0.0016 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] radiator : 0.4943 0.6937 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] recycling bin : 0.2583 0.3514 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] wardrobe : 0.1021 0.1258 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] soap dispenser : 0.5910 0.8728 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] telephone : 0.0668 0.0975 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] bucket : 0.0074 0.0076 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] clock : 0.1719 0.2469 +[2025-03-11 01:26:48,408 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] light : 0.2192 0.2733 +[2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] laundry basket : 0.0069 0.0083 +[2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 +[2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] clothes dryer : 0.0268 0.0271 +[2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] guitar : 0.0045 0.0061 +[2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] speaker : 0.0039 0.0229 +[2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:26:48,409 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:26:48,410 INFO hook.py line 689 2389709] ladder : 0.0140 0.0265 +[2025-03-11 01:26:48,410 INFO hook.py line 689 2389709] bathroom stall : 0.2159 0.2571 +[2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] shower wall : 0.4638 0.6370 +[2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] cup : 0.0760 0.7183 +[2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] jacket : 0.0353 0.0514 +[2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] storage bin : 0.0107 0.0143 +[2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] coffee maker : 0.1276 0.9223 +[2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 +[2025-03-11 01:26:48,411 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 +[2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 +[2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] windowsill : 0.1596 0.1770 +[2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] bar : 0.1093 0.1796 +[2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] bulletin board : 0.0127 0.0128 +[2025-03-11 01:26:48,412 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 +[2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] soap dish : 0.1400 0.4378 +[2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] kitchen counter: 0.4628 0.7812 +[2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] doorframe : 0.2632 0.5570 +[2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2295 0.4281 +[2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] mini fridge : 0.2199 0.3888 +[2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 01:26:48,413 INFO hook.py line 689 2389709] ball : 0.0985 0.1005 +[2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] shower curtain rod: 0.2505 0.6812 +[2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] water cooler : 0.0266 0.0378 +[2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] paper cutter : 0.0633 0.1317 +[2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] tray : 0.0010 0.0022 +[2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] shower door : 0.0004 0.0004 +[2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 01:26:48,414 INFO hook.py line 689 2389709] ledge : 0.0081 0.0083 +[2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] toaster oven : 0.0141 0.0186 +[2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 +[2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.3961 0.4987 +[2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] cart : 0.0016 0.0016 +[2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] scale : 0.0039 0.0103 +[2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] tissue box : 0.0805 0.2261 +[2025-03-11 01:26:48,415 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 +[2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 +[2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] vacuum cleaner : 0.0002 0.0002 +[2025-03-11 01:26:48,416 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] plunger : 0.1685 0.7111 +[2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] dish rack : 0.0949 0.4460 +[2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 +[2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] range hood : 0.5524 0.6360 +[2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 01:26:48,417 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] handicap bar : 0.0630 0.8841 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] shower floor : 0.3873 0.9652 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] water pitcher : 0.0020 0.0583 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] mailbox : 0.1332 0.1404 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:26:48,418 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] divider : 0.2015 0.2254 +[2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] bathroom counter: 0.0497 0.0563 +[2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] object : 0.0228 0.0333 +[2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] bathroom vanity: 0.4547 0.7844 +[2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] closet wall : 0.0611 0.0877 +[2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] laundry hamper : 0.0023 0.0024 +[2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] bathroom stall door: 0.3166 0.7516 +[2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] ceiling light : 0.2208 0.2969 +[2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] trash bin : 0.3014 0.3664 +[2025-03-11 01:26:48,419 INFO hook.py line 689 2389709] dumbbell : 0.3469 0.8224 +[2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] stair rail : 0.0063 0.0070 +[2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 +[2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] bathroom cabinet: 0.2020 0.2369 +[2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] closet rod : 0.1814 0.7667 +[2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] shower head : 0.0000 0.0000 +[2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 01:26:48,420 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:26:48,421 INFO hook.py line 689 2389709] mattress : 0.0005 0.0005 +[2025-03-11 01:26:48,421 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:26:48,421 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.1855/0.2833/0.7593. +[2025-03-11 01:26:48,422 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:26:48,444 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.1855 +[2025-03-11 01:26:48,444 INFO misc.py line 164 2389709] Currently Best mIoU: 0.1855 +[2025-03-11 01:26:48,445 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:27:18,954 INFO hook.py line 566 2389709] Train: [7/100][50/300] Data 0.002 (0.002) Batch 0.535 (0.489) Remain 03:49:12 loss: 1.1666 Lr: 4.99813e-03 +[2025-03-11 01:27:43,036 INFO hook.py line 566 2389709] Train: [7/100][100/300] Data 0.002 (0.002) Batch 0.511 (0.485) Remain 03:47:07 loss: 1.1647 Lr: 4.99756e-03 +[2025-03-11 01:28:07,253 INFO hook.py line 566 2389709] Train: [7/100][150/300] Data 0.003 (0.002) Batch 0.505 (0.485) Remain 03:46:37 loss: 1.3687 Lr: 4.99691e-03 +[2025-03-11 01:28:31,764 INFO hook.py line 566 2389709] Train: [7/100][200/300] Data 0.002 (0.002) Batch 0.468 (0.486) Remain 03:46:51 loss: 1.5447 Lr: 4.99619e-03 +[2025-03-11 01:28:56,409 INFO hook.py line 566 2389709] Train: [7/100][250/300] Data 0.002 (0.002) Batch 0.464 (0.488) Remain 03:47:05 loss: 1.2915 Lr: 4.99539e-03 +[2025-03-11 01:29:20,640 INFO hook.py line 566 2389709] Train: [7/100][300/300] Data 0.001 (0.002) Batch 0.431 (0.487) Remain 03:46:27 loss: 1.3818 Lr: 4.99452e-03 +[2025-03-11 01:29:20,641 INFO misc.py line 135 2389709] Train result: loss: 1.3770 +[2025-03-11 01:29:20,734 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:30:09,207 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6151 +[2025-03-11 01:30:09,253 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4090 +[2025-03-11 01:30:09,289 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7919 +[2025-03-11 01:30:09,341 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6959 +[2025-03-11 01:30:09,375 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0199 +[2025-03-11 01:30:09,439 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7653 +[2025-03-11 01:30:09,491 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0104 +[2025-03-11 01:30:09,522 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.7784 +[2025-03-11 01:30:09,571 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4876 +[2025-03-11 01:30:09,608 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.5492 +[2025-03-11 01:30:09,655 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2012 +[2025-03-11 01:30:09,692 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0471 +[2025-03-11 01:30:09,744 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.7024 +[2025-03-11 01:30:09,786 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1944 +[2025-03-11 01:30:09,823 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0571 +[2025-03-11 01:30:09,876 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.5594 +[2025-03-11 01:30:09,916 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4950 +[2025-03-11 01:30:09,952 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8485 +[2025-03-11 01:30:09,996 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.0135 +[2025-03-11 01:30:10,032 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3611 +[2025-03-11 01:30:10,067 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6856 +[2025-03-11 01:30:10,112 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8366 +[2025-03-11 01:30:10,143 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7391 +[2025-03-11 01:30:10,193 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1648 +[2025-03-11 01:30:10,241 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5996 +[2025-03-11 01:30:10,287 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2808 +[2025-03-11 01:30:10,341 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5330 +[2025-03-11 01:30:10,376 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7987 +[2025-03-11 01:30:10,408 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9449 +[2025-03-11 01:30:10,471 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7701 +[2025-03-11 01:30:10,530 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7073 +[2025-03-11 01:30:10,572 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2200 +[2025-03-11 01:30:10,634 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9426 +[2025-03-11 01:30:10,677 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.4181 +[2025-03-11 01:30:10,716 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1848 +[2025-03-11 01:30:10,756 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5251 +[2025-03-11 01:30:10,804 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6260 +[2025-03-11 01:30:10,838 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8949 +[2025-03-11 01:30:10,905 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.4651 +[2025-03-11 01:30:10,952 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8535 +[2025-03-11 01:30:11,001 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2346 +[2025-03-11 01:30:11,049 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4681 +[2025-03-11 01:30:11,090 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2464 +[2025-03-11 01:30:11,148 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0823 +[2025-03-11 01:30:11,186 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7959 +[2025-03-11 01:30:11,240 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0850 +[2025-03-11 01:30:11,283 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2516 +[2025-03-11 01:30:11,317 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2880 +[2025-03-11 01:30:11,352 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6978 +[2025-03-11 01:30:11,389 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.2659 +[2025-03-11 01:30:11,424 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0162 +[2025-03-11 01:30:11,461 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.3988 +[2025-03-11 01:30:11,493 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3095 +[2025-03-11 01:30:11,532 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1719 +[2025-03-11 01:30:11,574 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1956 +[2025-03-11 01:30:11,615 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2794 +[2025-03-11 01:30:11,648 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5016 +[2025-03-11 01:30:11,675 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4330 +[2025-03-11 01:30:11,716 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7260 +[2025-03-11 01:30:11,757 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4848 +[2025-03-11 01:30:11,786 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0019 +[2025-03-11 01:30:11,826 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1165 +[2025-03-11 01:30:11,864 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.8777 +[2025-03-11 01:30:11,925 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9400 +[2025-03-11 01:30:11,957 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0503 +[2025-03-11 01:30:12,000 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6789 +[2025-03-11 01:30:12,039 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0246 +[2025-03-11 01:30:12,080 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2325 +[2025-03-11 01:30:12,113 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3805 +[2025-03-11 01:30:12,174 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.6315 +[2025-03-11 01:30:12,219 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8778 +[2025-03-11 01:30:12,276 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9229 +[2025-03-11 01:30:12,334 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7115 +[2025-03-11 01:30:12,377 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.9961 +[2025-03-11 01:30:12,428 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3140 +[2025-03-11 01:30:12,457 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9783 +[2025-03-11 01:30:12,520 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8579 +[2025-03-11 01:30:12,546 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8337 +[2025-03-11 01:30:13,864 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:30:13,864 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:30:13,864 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] wall : 0.7570 0.8991 +[2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] chair : 0.6684 0.7235 +[2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] floor : 0.9524 0.9830 +[2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] table : 0.6304 0.7656 +[2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] door : 0.5622 0.8187 +[2025-03-11 01:30:13,864 INFO hook.py line 689 2389709] couch : 0.7337 0.7946 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] cabinet : 0.1960 0.2760 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] shelf : 0.3798 0.5318 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] desk : 0.4446 0.8102 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] office chair : 0.2931 0.7260 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] bed : 0.7289 0.7928 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] pillow : 0.4226 0.5429 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] sink : 0.6065 0.7105 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] picture : 0.3080 0.4214 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] window : 0.4766 0.5900 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] toilet : 0.8689 0.9446 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] bookshelf : 0.4377 0.4963 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] monitor : 0.8221 0.8688 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] curtain : 0.6059 0.9016 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] book : 0.4366 0.7590 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] armchair : 0.5033 0.8735 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] coffee table : 0.6596 0.8816 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] box : 0.1932 0.2379 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] refrigerator : 0.5168 0.7025 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] lamp : 0.5717 0.7019 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] kitchen cabinet: 0.5771 0.7040 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] towel : 0.2637 0.6102 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] clothes : 0.1876 0.4012 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] tv : 0.7600 0.8735 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] nightstand : 0.6193 0.6893 +[2025-03-11 01:30:13,865 INFO hook.py line 689 2389709] counter : 0.2459 0.4770 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] dresser : 0.1681 0.2126 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] stool : 0.3504 0.6744 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] plant : 0.6137 0.9194 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] ceiling : 0.9096 0.9719 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] bathtub : 0.8271 0.8588 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] end table : 0.0069 0.0075 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] keyboard : 0.2212 0.6510 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] bag : 0.1624 0.3688 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] backpack : 0.4582 0.4993 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] toilet paper : 0.3712 0.5530 +[2025-03-11 01:30:13,866 INFO hook.py line 689 2389709] printer : 0.3496 0.4821 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] tv stand : 0.2797 0.9085 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] whiteboard : 0.4295 0.5166 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] blanket : 0.0014 0.0015 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] shower curtain : 0.6483 0.8727 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] trash can : 0.5195 0.6960 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] closet : 0.0022 0.0023 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] stairs : 0.2918 0.3868 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] microwave : 0.4082 0.6184 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] stove : 0.3588 0.8550 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] shoe : 0.3719 0.4973 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] computer tower : 0.3961 0.6948 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] bottle : 0.0580 0.1670 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] ottoman : 0.1316 0.1395 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] bench : 0.1697 0.1890 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] board : 0.0936 0.2168 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] washing machine: 0.0095 0.0098 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] mirror : 0.2845 0.5149 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] copier : 0.7721 0.9002 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] file cabinet : 0.3070 0.3733 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] fan : 0.2689 0.3003 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] laptop : 0.2783 0.3756 +[2025-03-11 01:30:13,867 INFO hook.py line 689 2389709] shower : 0.1247 0.1546 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] paper : 0.0144 0.0172 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] person : 0.0965 0.4307 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] paper towel dispenser: 0.5326 0.6233 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] blinds : 0.0045 0.0048 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] blackboard : 0.5338 0.6741 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] piano : 0.2959 0.6083 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] suitcase : 0.4535 0.5246 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] rail : 0.0006 0.0007 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] radiator : 0.5394 0.6513 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] recycling bin : 0.3711 0.6026 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] wardrobe : 0.0665 0.0707 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] soap dispenser : 0.4798 0.9063 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] telephone : 0.1327 0.3782 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] bucket : 0.1435 0.5585 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] clock : 0.2063 0.2846 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] light : 0.1594 0.2688 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] laundry basket : 0.0507 0.0733 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] clothes dryer : 0.2428 0.5352 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] guitar : 0.1732 0.2649 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:30:13,868 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] ladder : 0.1910 0.2595 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] bathroom stall : 0.1450 0.1566 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] shower wall : 0.4563 0.7015 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] cup : 0.1513 0.5460 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] jacket : 0.0460 0.0742 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] coffee maker : 0.2721 0.9611 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] dishwasher : 0.0000 0.0000 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] paper towel roll: 0.0212 0.0226 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] mat : 0.0025 0.0026 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] windowsill : 0.1891 0.2928 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] bar : 0.0828 0.1955 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] bulletin board : 0.1487 0.2474 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] fireplace : 0.0093 0.0093 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] soap dish : 0.2896 0.3953 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] kitchen counter: 0.4511 0.6288 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] doorframe : 0.2777 0.5950 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2426 0.3384 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] mini fridge : 0.2697 0.3445 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 01:30:13,869 INFO hook.py line 689 2389709] ball : 0.1662 0.8817 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] shower curtain rod: 0.1160 0.8350 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] water cooler : 0.0756 0.1201 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] paper cutter : 0.0868 0.1954 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] tray : 0.0002 0.0002 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] shower door : 0.0088 0.0448 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] ledge : 0.0700 0.1143 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] toaster oven : 0.0034 0.0034 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5963 0.7409 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] cart : 0.0087 0.0089 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] scale : 0.0217 0.1910 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] tissue box : 0.1071 0.1814 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] decoration : 0.0054 0.0058 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 +[2025-03-11 01:30:13,870 INFO hook.py line 689 2389709] vacuum cleaner : 0.0336 0.0363 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] plunger : 0.0720 0.6278 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] dish rack : 0.1180 0.2657 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] broom : 0.0173 0.0343 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] range hood : 0.5781 0.9008 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:30:13,871 INFO hook.py line 689 2389709] handicap bar : 0.0324 0.8457 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] shower floor : 0.6893 0.9205 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] mailbox : 0.3304 0.3388 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] divider : 0.3666 0.4797 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] bathroom counter: 0.0707 0.0836 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] object : 0.0332 0.0531 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] bathroom vanity: 0.3937 0.7951 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] closet wall : 0.0435 0.0456 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] laundry hamper : 0.0403 0.0700 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] bathroom stall door: 0.4179 0.8687 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] ceiling light : 0.1559 0.3071 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] trash bin : 0.3357 0.5404 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] dumbbell : 0.2590 0.9408 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] stair rail : 0.2552 0.4772 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] bathroom cabinet: 0.0344 0.0348 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] closet rod : 0.2936 0.7358 +[2025-03-11 01:30:13,872 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] shower head : 0.0086 0.0087 +[2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] keyboard piano : 0.0021 0.0033 +[2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:30:13,874 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:30:13,875 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:30:13,875 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:30:13,875 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 01:30:13,875 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:30:13,875 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2033/0.3154/0.7774. +[2025-03-11 01:30:13,876 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:30:13,894 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2033 +[2025-03-11 01:30:13,894 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2033 +[2025-03-11 01:30:13,895 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:30:45,077 INFO hook.py line 566 2389709] Train: [8/100][50/300] Data 0.002 (0.002) Batch 0.504 (0.495) Remain 03:49:43 loss: 1.4996 Lr: 4.99357e-03 +[2025-03-11 01:31:09,512 INFO hook.py line 566 2389709] Train: [8/100][100/300] Data 0.002 (0.002) Batch 0.497 (0.492) Remain 03:47:49 loss: 1.2704 Lr: 4.99254e-03 +[2025-03-11 01:31:34,479 INFO hook.py line 566 2389709] Train: [8/100][150/300] Data 0.002 (0.002) Batch 0.511 (0.494) Remain 03:48:36 loss: 1.3198 Lr: 4.99144e-03 +[2025-03-11 01:31:59,009 INFO hook.py line 566 2389709] Train: [8/100][200/300] Data 0.002 (0.002) Batch 0.544 (0.493) Remain 03:47:46 loss: 1.8688 Lr: 4.99026e-03 +[2025-03-11 01:32:23,361 INFO hook.py line 566 2389709] Train: [8/100][250/300] Data 0.002 (0.002) Batch 0.501 (0.492) Remain 03:46:45 loss: 1.4878 Lr: 4.98901e-03 +[2025-03-11 01:32:47,597 INFO hook.py line 566 2389709] Train: [8/100][300/300] Data 0.002 (0.002) Batch 0.490 (0.491) Remain 03:45:47 loss: 1.5160 Lr: 4.98768e-03 +[2025-03-11 01:32:47,597 INFO misc.py line 135 2389709] Train result: loss: 1.3187 +[2025-03-11 01:32:47,694 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:33:41,250 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7787 +[2025-03-11 01:33:41,357 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1139 +[2025-03-11 01:33:41,399 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7665 +[2025-03-11 01:33:41,450 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6855 +[2025-03-11 01:33:41,490 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9811 +[2025-03-11 01:33:41,548 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0238 +[2025-03-11 01:33:41,603 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.2778 +[2025-03-11 01:33:41,638 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5403 +[2025-03-11 01:33:41,683 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5343 +[2025-03-11 01:33:41,723 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.9293 +[2025-03-11 01:33:41,771 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2909 +[2025-03-11 01:33:41,808 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4649 +[2025-03-11 01:33:41,857 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.1538 +[2025-03-11 01:33:41,898 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.9728 +[2025-03-11 01:33:41,936 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0504 +[2025-03-11 01:33:41,982 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.6431 +[2025-03-11 01:33:42,023 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1069 +[2025-03-11 01:33:42,062 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8669 +[2025-03-11 01:33:42,114 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5095 +[2025-03-11 01:33:42,151 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5300 +[2025-03-11 01:33:42,190 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8056 +[2025-03-11 01:33:42,239 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8986 +[2025-03-11 01:33:42,275 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7448 +[2025-03-11 01:33:42,329 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2232 +[2025-03-11 01:33:42,371 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7785 +[2025-03-11 01:33:42,413 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.9709 +[2025-03-11 01:33:42,467 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7225 +[2025-03-11 01:33:42,503 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7294 +[2025-03-11 01:33:42,533 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0765 +[2025-03-11 01:33:42,590 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.9499 +[2025-03-11 01:33:42,653 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4785 +[2025-03-11 01:33:42,694 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4805 +[2025-03-11 01:33:42,752 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9852 +[2025-03-11 01:33:42,791 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.3567 +[2025-03-11 01:33:42,834 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.6109 +[2025-03-11 01:33:42,877 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5707 +[2025-03-11 01:33:42,915 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.8532 +[2025-03-11 01:33:42,950 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8977 +[2025-03-11 01:33:43,016 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0890 +[2025-03-11 01:33:43,071 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.2303 +[2025-03-11 01:33:43,116 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2333 +[2025-03-11 01:33:43,146 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6215 +[2025-03-11 01:33:43,181 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.4690 +[2025-03-11 01:33:43,242 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.2231 +[2025-03-11 01:33:43,275 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9768 +[2025-03-11 01:33:43,324 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0714 +[2025-03-11 01:33:43,363 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0079 +[2025-03-11 01:33:43,402 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0783 +[2025-03-11 01:33:43,436 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2640 +[2025-03-11 01:33:43,470 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.1173 +[2025-03-11 01:33:43,500 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0979 +[2025-03-11 01:33:43,539 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5130 +[2025-03-11 01:33:43,566 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.5941 +[2025-03-11 01:33:43,601 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3182 +[2025-03-11 01:33:43,640 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2091 +[2025-03-11 01:33:43,681 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1459 +[2025-03-11 01:33:43,719 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6051 +[2025-03-11 01:33:43,745 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.3624 +[2025-03-11 01:33:43,787 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9200 +[2025-03-11 01:33:43,823 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7816 +[2025-03-11 01:33:43,850 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9869 +[2025-03-11 01:33:43,886 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1938 +[2025-03-11 01:33:43,928 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.5281 +[2025-03-11 01:33:43,985 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.2121 +[2025-03-11 01:33:44,014 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1388 +[2025-03-11 01:33:44,057 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7118 +[2025-03-11 01:33:44,100 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2678 +[2025-03-11 01:33:44,135 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2955 +[2025-03-11 01:33:44,165 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3809 +[2025-03-11 01:33:44,226 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0361 +[2025-03-11 01:33:44,269 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6057 +[2025-03-11 01:33:44,324 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7003 +[2025-03-11 01:33:44,377 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7410 +[2025-03-11 01:33:44,420 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.1502 +[2025-03-11 01:33:44,471 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5151 +[2025-03-11 01:33:44,499 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7940 +[2025-03-11 01:33:44,558 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8692 +[2025-03-11 01:33:44,584 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.4473 +[2025-03-11 01:33:45,996 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:33:45,997 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:33:45,997 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:33:45,997 INFO hook.py line 689 2389709] wall : 0.7333 0.8390 +[2025-03-11 01:33:45,997 INFO hook.py line 689 2389709] chair : 0.7241 0.9069 +[2025-03-11 01:33:45,997 INFO hook.py line 689 2389709] floor : 0.9481 0.9645 +[2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] table : 0.5963 0.7993 +[2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] door : 0.5662 0.7009 +[2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] couch : 0.6978 0.7474 +[2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] cabinet : 0.2563 0.3894 +[2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] shelf : 0.3388 0.7431 +[2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] desk : 0.4550 0.5553 +[2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] office chair : 0.1278 0.1545 +[2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] bed : 0.5576 0.8846 +[2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] pillow : 0.4202 0.6142 +[2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] sink : 0.5787 0.6993 +[2025-03-11 01:33:45,998 INFO hook.py line 689 2389709] picture : 0.3024 0.3792 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] window : 0.4145 0.8651 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] toilet : 0.9037 0.9553 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] bookshelf : 0.4427 0.5432 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] monitor : 0.8124 0.8668 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] curtain : 0.6412 0.7300 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] book : 0.4181 0.7027 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] armchair : 0.4762 0.6442 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] coffee table : 0.5612 0.7365 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] box : 0.1982 0.2637 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] refrigerator : 0.5053 0.5169 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] lamp : 0.5608 0.6436 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] kitchen cabinet: 0.5780 0.6475 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] towel : 0.3509 0.3706 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] clothes : 0.1843 0.3427 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] tv : 0.7877 0.8897 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] nightstand : 0.5607 0.6468 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] counter : 0.2369 0.3660 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] dresser : 0.1651 0.3070 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] stool : 0.3885 0.6229 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] plant : 0.5568 0.6775 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] ceiling : 0.9094 0.9548 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] bathtub : 0.8266 0.9193 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] end table : 0.0480 0.0555 +[2025-03-11 01:33:45,999 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] keyboard : 0.1914 0.6010 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] bag : 0.1300 0.2083 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] backpack : 0.5194 0.6526 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] toilet paper : 0.3556 0.4856 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] printer : 0.3346 0.5081 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] tv stand : 0.2595 0.9943 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] whiteboard : 0.3924 0.5045 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] shower curtain : 0.6104 0.6431 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] trash can : 0.5274 0.6499 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] closet : 0.0092 0.0106 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] stairs : 0.5323 0.5486 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] microwave : 0.3096 0.5303 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] stove : 0.5063 0.9332 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] shoe : 0.3082 0.7769 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] computer tower : 0.4579 0.7309 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] bottle : 0.0588 0.1473 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] ottoman : 0.3248 0.3436 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] bench : 0.2515 0.3321 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] board : 0.0691 0.1083 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] washing machine: 0.0518 0.0531 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] mirror : 0.2501 0.3013 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] copier : 0.7741 0.8443 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] basket : 0.0327 0.0760 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] sofa chair : 0.0013 0.0013 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] file cabinet : 0.3438 0.4534 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] fan : 0.1296 0.1321 +[2025-03-11 01:33:46,000 INFO hook.py line 689 2389709] laptop : 0.2190 0.5790 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] shower : 0.1153 0.1411 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] person : 0.1383 0.1472 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] paper towel dispenser: 0.4413 0.6679 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] oven : 0.0528 0.1927 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] blackboard : 0.4158 0.7939 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] piano : 0.1500 0.2021 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] suitcase : 0.4619 0.6725 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] rail : 0.0098 0.0098 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] radiator : 0.4783 0.4989 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] recycling bin : 0.3464 0.5251 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] container : 0.0009 0.0012 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] wardrobe : 0.1744 0.3294 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] soap dispenser : 0.7373 0.8490 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] telephone : 0.1767 0.3019 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] bucket : 0.1392 0.5833 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] clock : 0.0824 0.0841 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] light : 0.0005 0.0005 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] laundry basket : 0.0071 0.0110 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] clothes dryer : 0.3555 0.7433 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] speaker : 0.0018 0.0090 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:33:46,001 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] ladder : 0.1379 0.2160 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] bathroom stall : 0.2423 0.2972 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] shower wall : 0.4286 0.7007 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] cup : 0.1524 0.5252 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] jacket : 0.0776 0.1401 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] storage bin : 0.0024 0.0025 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] coffee maker : 0.2533 0.2748 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] dishwasher : 0.0095 0.0100 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] mat : 0.0088 0.0089 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] windowsill : 0.1116 0.1238 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] bar : 0.1764 0.6129 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] bulletin board : 0.0413 0.0493 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] fireplace : 0.0000 0.0000 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] soap dish : 0.2515 0.3336 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] kitchen counter: 0.4492 0.6157 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] doorframe : 0.2957 0.3585 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] toilet paper dispenser: 0.1874 0.2217 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] mini fridge : 0.2369 0.2882 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] fire extinguisher: 0.0255 0.0283 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] ball : 0.7316 0.7456 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] shower curtain rod: 0.2494 0.8194 +[2025-03-11 01:33:46,002 INFO hook.py line 689 2389709] water cooler : 0.0463 0.0489 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] paper cutter : 0.0583 0.2432 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] tray : 0.0006 0.0018 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] shower door : 0.0391 0.0648 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] ledge : 0.0220 0.0246 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] toaster oven : 0.1370 0.2037 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4568 0.4852 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] cart : 0.1063 0.1587 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] scale : 0.1261 0.3173 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] tissue box : 0.0989 0.1292 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] decoration : 0.0165 0.0176 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] closet door : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] vacuum cleaner : 0.1770 0.1788 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] plunger : 0.3472 0.6174 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] dish rack : 0.2173 0.6127 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] range hood : 0.4718 0.9127 +[2025-03-11 01:33:46,003 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] handicap bar : 0.0936 0.8702 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] shower floor : 0.2544 0.9296 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] water pitcher : 0.0228 0.9891 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] mailbox : 0.1210 0.1225 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] paper bag : 0.0086 0.0145 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] divider : 0.3051 0.3081 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] bathroom counter: 0.1040 0.1368 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] object : 0.0157 0.0187 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] bathroom vanity: 0.4302 0.7889 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] closet wall : 0.1225 0.1719 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] laundry hamper : 0.0853 0.1375 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] bathroom stall door: 0.4943 0.7314 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] ceiling light : 0.2042 0.3330 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] trash bin : 0.2245 0.3629 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] dumbbell : 0.2003 0.9812 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] stair rail : 0.0016 0.0016 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] bathroom cabinet: 0.0145 0.0145 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] closet rod : 0.3563 0.9011 +[2025-03-11 01:33:46,004 INFO hook.py line 689 2389709] coffee kettle : 0.0742 0.1288 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] shower head : 0.2348 0.3126 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] keyboard piano : 0.0057 0.0067 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] case of water bottles: 0.2512 0.3112 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:33:46,005 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 01:33:46,005 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:33:46,005 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2054/0.3076/0.7654. +[2025-03-11 01:33:46,006 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:33:46,025 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2054 +[2025-03-11 01:33:46,026 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2054 +[2025-03-11 01:33:46,026 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:34:16,570 INFO hook.py line 566 2389709] Train: [9/100][50/300] Data 0.002 (0.002) Batch 0.561 (0.497) Remain 03:48:02 loss: 1.5296 Lr: 4.98628e-03 +[2025-03-11 01:34:41,504 INFO hook.py line 566 2389709] Train: [9/100][100/300] Data 0.002 (0.002) Batch 0.465 (0.498) Remain 03:48:06 loss: 1.1644 Lr: 4.98480e-03 +[2025-03-11 01:35:05,947 INFO hook.py line 566 2389709] Train: [9/100][150/300] Data 0.004 (0.002) Batch 0.478 (0.495) Remain 03:46:19 loss: 1.3519 Lr: 4.98324e-03 +[2025-03-11 01:35:30,039 INFO hook.py line 566 2389709] Train: [9/100][200/300] Data 0.002 (0.002) Batch 0.453 (0.491) Remain 03:44:25 loss: 1.6553 Lr: 4.98161e-03 +[2025-03-11 01:35:54,842 INFO hook.py line 566 2389709] Train: [9/100][250/300] Data 0.002 (0.002) Batch 0.516 (0.492) Remain 03:44:26 loss: 1.1173 Lr: 4.97991e-03 +[2025-03-11 01:36:18,517 INFO hook.py line 566 2389709] Train: [9/100][300/300] Data 0.002 (0.002) Batch 0.436 (0.489) Remain 03:42:34 loss: 1.0700 Lr: 4.97813e-03 +[2025-03-11 01:36:18,517 INFO misc.py line 135 2389709] Train result: loss: 1.2737 +[2025-03-11 01:36:18,616 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:37:07,716 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6236 +[2025-03-11 01:37:07,790 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1572 +[2025-03-11 01:37:07,830 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6696 +[2025-03-11 01:37:07,890 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5879 +[2025-03-11 01:37:07,928 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0068 +[2025-03-11 01:37:07,983 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.6742 +[2025-03-11 01:37:08,036 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0466 +[2025-03-11 01:37:08,064 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4143 +[2025-03-11 01:37:08,113 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4964 +[2025-03-11 01:37:08,149 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4994 +[2025-03-11 01:37:08,196 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1742 +[2025-03-11 01:37:08,234 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2391 +[2025-03-11 01:37:08,284 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.9432 +[2025-03-11 01:37:08,334 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.0049 +[2025-03-11 01:37:08,373 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1632 +[2025-03-11 01:37:08,425 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3198 +[2025-03-11 01:37:08,468 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1640 +[2025-03-11 01:37:08,518 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8108 +[2025-03-11 01:37:08,565 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4556 +[2025-03-11 01:37:08,601 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4968 +[2025-03-11 01:37:08,636 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7281 +[2025-03-11 01:37:08,681 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7751 +[2025-03-11 01:37:08,713 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5036 +[2025-03-11 01:37:08,771 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1420 +[2025-03-11 01:37:08,826 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8117 +[2025-03-11 01:37:08,868 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0984 +[2025-03-11 01:37:08,925 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6597 +[2025-03-11 01:37:08,972 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7052 +[2025-03-11 01:37:09,018 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9613 +[2025-03-11 01:37:09,077 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4484 +[2025-03-11 01:37:09,135 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6732 +[2025-03-11 01:37:09,173 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2352 +[2025-03-11 01:37:09,235 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1496 +[2025-03-11 01:37:09,285 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.9101 +[2025-03-11 01:37:09,322 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4254 +[2025-03-11 01:37:09,361 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3931 +[2025-03-11 01:37:09,403 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4689 +[2025-03-11 01:37:09,435 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8762 +[2025-03-11 01:37:09,506 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.3454 +[2025-03-11 01:37:09,555 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.7769 +[2025-03-11 01:37:09,612 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2129 +[2025-03-11 01:37:09,645 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5998 +[2025-03-11 01:37:09,682 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2480 +[2025-03-11 01:37:09,742 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9783 +[2025-03-11 01:37:09,777 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4521 +[2025-03-11 01:37:09,826 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0437 +[2025-03-11 01:37:09,869 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6656 +[2025-03-11 01:37:09,903 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0284 +[2025-03-11 01:37:09,935 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1679 +[2025-03-11 01:37:09,968 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7540 +[2025-03-11 01:37:10,002 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.7997 +[2025-03-11 01:37:10,039 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6396 +[2025-03-11 01:37:10,071 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4568 +[2025-03-11 01:37:10,110 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3756 +[2025-03-11 01:37:10,148 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0467 +[2025-03-11 01:37:10,193 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1597 +[2025-03-11 01:37:10,227 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7636 +[2025-03-11 01:37:10,255 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4068 +[2025-03-11 01:37:10,296 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9496 +[2025-03-11 01:37:10,332 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4192 +[2025-03-11 01:37:10,359 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0929 +[2025-03-11 01:37:10,394 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1882 +[2025-03-11 01:37:10,432 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1850 +[2025-03-11 01:37:10,492 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6317 +[2025-03-11 01:37:10,519 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2539 +[2025-03-11 01:37:10,562 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5706 +[2025-03-11 01:37:10,603 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.3740 +[2025-03-11 01:37:10,638 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.6035 +[2025-03-11 01:37:10,669 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4168 +[2025-03-11 01:37:10,731 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8531 +[2025-03-11 01:37:10,778 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6210 +[2025-03-11 01:37:10,832 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4655 +[2025-03-11 01:37:10,886 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7425 +[2025-03-11 01:37:10,930 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.5449 +[2025-03-11 01:37:10,981 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5743 +[2025-03-11 01:37:11,010 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6967 +[2025-03-11 01:37:11,070 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6406 +[2025-03-11 01:37:11,096 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9432 +[2025-03-11 01:37:12,329 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:37:12,330 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:37:12,330 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] wall : 0.7646 0.8645 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] chair : 0.7350 0.9294 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] floor : 0.9527 0.9803 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] table : 0.5772 0.8249 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] door : 0.6207 0.7759 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] couch : 0.7464 0.8690 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] cabinet : 0.3104 0.4969 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] shelf : 0.2996 0.4112 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] desk : 0.4516 0.5904 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] office chair : 0.0001 0.0001 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] bed : 0.7185 0.8236 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] pillow : 0.4730 0.7101 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] sink : 0.6245 0.7778 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] picture : 0.3062 0.3994 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] window : 0.5448 0.7885 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] toilet : 0.9101 0.9566 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] bookshelf : 0.4538 0.6507 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] monitor : 0.8104 0.8654 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] curtain : 0.5923 0.8273 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] book : 0.3947 0.7891 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] armchair : 0.2725 0.2900 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] coffee table : 0.6293 0.8957 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] box : 0.2775 0.3857 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] refrigerator : 0.6201 0.7146 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] lamp : 0.6063 0.7355 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] kitchen cabinet: 0.6274 0.7989 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] towel : 0.3793 0.5083 +[2025-03-11 01:37:12,330 INFO hook.py line 689 2389709] clothes : 0.2226 0.3584 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] tv : 0.7655 0.8827 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] nightstand : 0.6274 0.7722 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] counter : 0.2649 0.4749 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] dresser : 0.3653 0.5294 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] stool : 0.3233 0.6998 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] plant : 0.6988 0.8158 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] ceiling : 0.9146 0.9717 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] bathtub : 0.8190 0.8881 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] end table : 0.0594 0.0651 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] keyboard : 0.3409 0.5933 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] bag : 0.1132 0.1185 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] backpack : 0.5515 0.6419 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] toilet paper : 0.3789 0.4552 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] printer : 0.3195 0.4157 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] tv stand : 0.5362 0.7441 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] whiteboard : 0.4848 0.6922 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] blanket : 0.0032 0.0034 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] shower curtain : 0.5920 0.7962 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] trash can : 0.6080 0.7394 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] closet : 0.0171 0.0183 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] stairs : 0.5749 0.5881 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] microwave : 0.4182 0.6507 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] stove : 0.4174 0.9024 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] shoe : 0.4069 0.5609 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] computer tower : 0.3451 0.6897 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] bottle : 0.0913 0.1414 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] ottoman : 0.3143 0.5632 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] bench : 0.3383 0.4790 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] board : 0.0698 0.1427 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] washing machine: 0.6393 0.8779 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] mirror : 0.3504 0.4223 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] copier : 0.7793 0.8495 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] sofa chair : 0.1385 0.3700 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] file cabinet : 0.3281 0.3985 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] fan : 0.3144 0.4649 +[2025-03-11 01:37:12,331 INFO hook.py line 689 2389709] laptop : 0.3810 0.4855 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] shower : 0.1129 0.1242 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] paper : 0.0633 0.1497 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] person : 0.0655 0.2291 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] paper towel dispenser: 0.4222 0.5311 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] oven : 0.0414 0.0471 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] blinds : 0.0034 0.0035 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] plate : 0.0036 0.0208 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] blackboard : 0.3959 0.4094 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] piano : 0.1531 0.6940 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] suitcase : 0.3994 0.6457 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] rail : 0.0014 0.0014 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] radiator : 0.5654 0.6482 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] recycling bin : 0.4408 0.5139 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] wardrobe : 0.1096 0.1398 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] soap dispenser : 0.5878 0.8199 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] telephone : 0.1478 0.4847 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] bucket : 0.2751 0.6014 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] clock : 0.1648 0.2466 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] light : 0.0626 0.0842 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] laundry basket : 0.2283 0.2657 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] pipe : 0.0186 0.0256 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] clothes dryer : 0.3169 0.3247 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] ladder : 0.3195 0.4450 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] bathroom stall : 0.3731 0.5965 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] shower wall : 0.5191 0.6698 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] cup : 0.2075 0.4083 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] jacket : 0.0764 0.3074 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] storage bin : 0.0348 0.0609 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] coffee maker : 0.7002 0.9292 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] dishwasher : 0.0575 0.0957 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] paper towel roll: 0.1540 0.2580 +[2025-03-11 01:37:12,332 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] mat : 0.0686 0.1199 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] windowsill : 0.1134 0.1190 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] bar : 0.0837 0.1925 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] bulletin board : 0.0812 0.1137 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] fireplace : 0.1873 0.1976 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] soap dish : 0.2633 0.3338 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] kitchen counter: 0.4788 0.6345 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] doorframe : 0.3028 0.4014 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2498 0.4806 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] mini fridge : 0.3123 0.3638 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] ball : 0.0599 0.9407 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] shower curtain rod: 0.2840 0.6929 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] water cooler : 0.1004 0.1008 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] paper cutter : 0.2045 0.2418 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] tray : 0.0015 0.0025 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] shower door : 0.0175 0.0351 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] ledge : 0.0267 0.0284 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] toaster oven : 0.2039 0.2899 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6791 0.8704 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] cart : 0.0937 0.1829 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] scale : 0.0487 0.2587 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] tissue box : 0.0753 0.1887 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] decoration : 0.0408 0.0656 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] closet door : 0.0385 0.0391 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] vacuum cleaner : 0.1151 0.1238 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] plunger : 0.1454 0.9357 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:37:12,333 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] dish rack : 0.2497 0.7571 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] broom : 0.0081 0.0213 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] range hood : 0.7237 0.8707 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] dustpan : 0.0089 0.0114 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] handicap bar : 0.0420 0.8088 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] shower floor : 0.3013 0.9989 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] water pitcher : 0.4699 0.8643 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] mailbox : 0.4387 0.5080 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] bowl : 0.0319 0.0665 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] paper bag : 0.0190 0.0222 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] projector screen: 0.0005 0.0006 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] divider : 0.3545 0.5720 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] laundry detergent: 0.0868 0.1137 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] bathroom counter: 0.0556 0.0671 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] object : 0.0347 0.0519 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] bathroom vanity: 0.2959 0.3735 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] closet wall : 0.1378 0.2144 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] laundry hamper : 0.0171 0.0195 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] bathroom stall door: 0.3508 0.8666 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] ceiling light : 0.2159 0.4617 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] trash bin : 0.2522 0.3082 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] dumbbell : 0.0527 0.9781 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] stair rail : 0.0344 0.0411 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] bathroom cabinet: 0.3080 0.6211 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] closet rod : 0.6553 0.7210 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] shower head : 0.2765 0.3451 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] keyboard piano : 0.0039 0.0081 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] case of water bottles: 0.2142 0.3345 +[2025-03-11 01:37:12,334 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:37:12,335 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 01:37:12,335 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:37:12,335 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2328/0.3434/0.7897. +[2025-03-11 01:37:12,335 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:37:12,338 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2328 +[2025-03-11 01:37:12,339 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2328 +[2025-03-11 01:37:12,339 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:37:43,154 INFO hook.py line 566 2389709] Train: [10/100][50/300] Data 0.002 (0.003) Batch 0.457 (0.496) Remain 03:45:15 loss: 1.2324 Lr: 4.97627e-03 +[2025-03-11 01:38:07,704 INFO hook.py line 566 2389709] Train: [10/100][100/300] Data 0.002 (0.003) Batch 0.467 (0.493) Remain 03:43:40 loss: 1.3334 Lr: 4.97434e-03 +[2025-03-11 01:38:32,075 INFO hook.py line 566 2389709] Train: [10/100][150/300] Data 0.002 (0.002) Batch 0.446 (0.491) Remain 03:42:20 loss: 1.3411 Lr: 4.97233e-03 +[2025-03-11 01:38:56,838 INFO hook.py line 566 2389709] Train: [10/100][200/300] Data 0.002 (0.002) Batch 0.495 (0.492) Remain 03:42:22 loss: 1.2329 Lr: 4.97025e-03 +[2025-03-11 01:39:21,699 INFO hook.py line 566 2389709] Train: [10/100][250/300] Data 0.002 (0.002) Batch 0.489 (0.493) Remain 03:42:24 loss: 0.8953 Lr: 4.96809e-03 +[2025-03-11 01:39:46,119 INFO hook.py line 566 2389709] Train: [10/100][300/300] Data 0.002 (0.002) Batch 0.485 (0.493) Remain 03:41:37 loss: 0.9795 Lr: 4.96586e-03 +[2025-03-11 01:39:46,120 INFO misc.py line 135 2389709] Train result: loss: 1.2346 +[2025-03-11 01:39:46,215 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:40:35,435 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6767 +[2025-03-11 01:40:35,482 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3928 +[2025-03-11 01:40:35,518 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8604 +[2025-03-11 01:40:35,570 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5518 +[2025-03-11 01:40:35,610 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.1395 +[2025-03-11 01:40:35,667 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8270 +[2025-03-11 01:40:35,730 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9475 +[2025-03-11 01:40:35,763 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5264 +[2025-03-11 01:40:35,814 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1114 +[2025-03-11 01:40:35,850 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2684 +[2025-03-11 01:40:35,897 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2523 +[2025-03-11 01:40:35,934 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9822 +[2025-03-11 01:40:35,985 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6624 +[2025-03-11 01:40:36,029 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.5739 +[2025-03-11 01:40:36,075 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.7737 +[2025-03-11 01:40:36,126 INFO hook.py line 748 2389709] Test: [16/78] Loss 1.2628 +[2025-03-11 01:40:36,165 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0509 +[2025-03-11 01:40:36,207 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.6072 +[2025-03-11 01:40:36,257 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.0877 +[2025-03-11 01:40:36,298 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.1607 +[2025-03-11 01:40:36,334 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6691 +[2025-03-11 01:40:36,374 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9028 +[2025-03-11 01:40:36,409 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6128 +[2025-03-11 01:40:36,469 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1337 +[2025-03-11 01:40:36,512 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9706 +[2025-03-11 01:40:36,558 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5236 +[2025-03-11 01:40:36,616 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8246 +[2025-03-11 01:40:36,655 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7406 +[2025-03-11 01:40:36,685 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1191 +[2025-03-11 01:40:36,742 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.4299 +[2025-03-11 01:40:36,801 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8009 +[2025-03-11 01:40:36,838 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1166 +[2025-03-11 01:40:36,895 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8427 +[2025-03-11 01:40:36,938 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.8544 +[2025-03-11 01:40:36,979 INFO hook.py line 748 2389709] Test: [35/78] Loss 0.8726 +[2025-03-11 01:40:37,021 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2667 +[2025-03-11 01:40:37,063 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.4053 +[2025-03-11 01:40:37,095 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7972 +[2025-03-11 01:40:37,165 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.4085 +[2025-03-11 01:40:37,212 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6422 +[2025-03-11 01:40:37,261 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1925 +[2025-03-11 01:40:37,299 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4686 +[2025-03-11 01:40:37,345 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.5615 +[2025-03-11 01:40:37,407 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9920 +[2025-03-11 01:40:37,446 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5303 +[2025-03-11 01:40:37,501 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1103 +[2025-03-11 01:40:37,543 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8363 +[2025-03-11 01:40:37,578 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1904 +[2025-03-11 01:40:37,614 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.0753 +[2025-03-11 01:40:37,647 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0953 +[2025-03-11 01:40:37,682 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8177 +[2025-03-11 01:40:37,719 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.3658 +[2025-03-11 01:40:37,751 INFO hook.py line 748 2389709] Test: [53/78] Loss 0.8507 +[2025-03-11 01:40:37,787 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8682 +[2025-03-11 01:40:37,825 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4555 +[2025-03-11 01:40:37,866 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.7381 +[2025-03-11 01:40:37,899 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8156 +[2025-03-11 01:40:37,925 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.3739 +[2025-03-11 01:40:37,966 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0119 +[2025-03-11 01:40:38,008 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3950 +[2025-03-11 01:40:38,037 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0846 +[2025-03-11 01:40:38,077 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0528 +[2025-03-11 01:40:38,114 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0825 +[2025-03-11 01:40:38,172 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6489 +[2025-03-11 01:40:38,204 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.8974 +[2025-03-11 01:40:38,247 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8511 +[2025-03-11 01:40:38,287 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2562 +[2025-03-11 01:40:38,328 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0377 +[2025-03-11 01:40:38,361 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3788 +[2025-03-11 01:40:38,422 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7314 +[2025-03-11 01:40:38,466 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5307 +[2025-03-11 01:40:38,526 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6482 +[2025-03-11 01:40:38,584 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7731 +[2025-03-11 01:40:38,627 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8021 +[2025-03-11 01:40:38,679 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3942 +[2025-03-11 01:40:38,708 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9296 +[2025-03-11 01:40:38,770 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6662 +[2025-03-11 01:40:38,797 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9376 +[2025-03-11 01:40:40,207 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:40:40,207 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:40:40,207 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] wall : 0.7717 0.9108 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] chair : 0.7202 0.8360 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] floor : 0.9497 0.9842 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] table : 0.6223 0.8341 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] door : 0.6424 0.7832 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] couch : 0.7069 0.9078 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] cabinet : 0.3008 0.5701 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] shelf : 0.2222 0.2515 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] desk : 0.4458 0.5251 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] office chair : 0.2527 0.3964 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] bed : 0.7417 0.8912 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] pillow : 0.4499 0.5875 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] sink : 0.6230 0.7433 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] picture : 0.3322 0.4582 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] window : 0.5294 0.6300 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] toilet : 0.8841 0.9525 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] bookshelf : 0.4685 0.8452 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] monitor : 0.8256 0.8480 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] curtain : 0.6099 0.8611 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] book : 0.3442 0.4756 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] armchair : 0.4777 0.6252 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] coffee table : 0.6522 0.8447 +[2025-03-11 01:40:40,208 INFO hook.py line 689 2389709] box : 0.3199 0.4702 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] refrigerator : 0.6610 0.7291 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] lamp : 0.5755 0.7383 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] kitchen cabinet: 0.5923 0.6877 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] towel : 0.4007 0.5357 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] clothes : 0.1798 0.4320 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] tv : 0.7967 0.8420 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] nightstand : 0.5816 0.7940 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] counter : 0.1750 0.2247 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] dresser : 0.2029 0.2448 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] stool : 0.3407 0.7534 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] plant : 0.6694 0.7898 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] ceiling : 0.9149 0.9536 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] bathtub : 0.8233 0.8997 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] end table : 0.1568 0.2051 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] keyboard : 0.3410 0.4632 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] bag : 0.1066 0.1779 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] backpack : 0.5379 0.7421 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] toilet paper : 0.3730 0.4250 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] printer : 0.3336 0.4891 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] tv stand : 0.5205 0.9019 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] whiteboard : 0.4729 0.6216 +[2025-03-11 01:40:40,209 INFO hook.py line 689 2389709] blanket : 0.0062 0.0108 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] shower curtain : 0.5629 0.6608 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] trash can : 0.6028 0.7732 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] closet : 0.0033 0.0037 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] stairs : 0.4249 0.7209 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] microwave : 0.4757 0.6186 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] stove : 0.5792 0.8602 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] shoe : 0.3224 0.7297 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] computer tower : 0.4661 0.7293 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] bottle : 0.1361 0.1891 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] ottoman : 0.3196 0.4469 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] bench : 0.1512 0.1598 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] board : 0.0892 0.1445 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] washing machine: 0.7121 0.9231 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] mirror : 0.3463 0.5292 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] copier : 0.7153 0.9121 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] sofa chair : 0.0003 0.0003 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] file cabinet : 0.2888 0.6617 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] fan : 0.3360 0.4740 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] laptop : 0.4309 0.5586 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] shower : 0.2629 0.3068 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] paper : 0.0235 0.0327 +[2025-03-11 01:40:40,210 INFO hook.py line 689 2389709] person : 0.1180 0.3219 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] paper towel dispenser: 0.5672 0.6712 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] plate : 0.0046 0.0521 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] blackboard : 0.5210 0.5529 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] piano : 0.0698 0.0868 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] suitcase : 0.4968 0.6448 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] rail : 0.0023 0.0023 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] radiator : 0.5332 0.6736 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] recycling bin : 0.2195 0.2256 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] wardrobe : 0.1222 0.1247 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] soap dispenser : 0.7731 0.8253 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] telephone : 0.1640 0.2616 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] bucket : 0.0896 0.2062 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] clock : 0.1696 0.2077 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] light : 0.1270 0.1695 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] laundry basket : 0.0434 0.0493 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] pipe : 0.0263 0.0293 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] clothes dryer : 0.3174 0.3298 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] guitar : 0.0711 0.0899 +[2025-03-11 01:40:40,211 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] ladder : 0.4074 0.4293 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] bathroom stall : 0.1028 0.1054 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] shower wall : 0.4882 0.7067 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] cup : 0.2455 0.5242 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] jacket : 0.1718 0.2501 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] storage bin : 0.0153 0.0222 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] coffee maker : 0.4556 0.9242 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] dishwasher : 0.0361 0.0421 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] paper towel roll: 0.1975 0.2067 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] mat : 0.0805 0.0933 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] windowsill : 0.1029 0.1166 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] bar : 0.1149 0.2135 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] bulletin board : 0.2231 0.3688 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] fireplace : 0.0783 0.0789 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] soap dish : 0.2921 0.3753 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] kitchen counter: 0.4997 0.7889 +[2025-03-11 01:40:40,212 INFO hook.py line 689 2389709] doorframe : 0.3210 0.4542 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3048 0.5715 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] mini fridge : 0.3195 0.4729 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] fire extinguisher: 0.0336 0.0942 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] ball : 0.3914 0.8537 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] shower curtain rod: 0.1868 0.9139 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] water cooler : 0.3427 0.6380 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] paper cutter : 0.1830 0.2324 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] tray : 0.0026 0.0055 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] shower door : 0.0050 0.0061 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] ledge : 0.0185 0.0234 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] toaster oven : 0.0928 0.1009 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.3185 0.3341 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] cart : 0.0072 0.0072 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] scale : 0.1052 0.7140 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] tissue box : 0.0607 0.0685 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:40:40,213 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] closet door : 0.0086 0.0087 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] vacuum cleaner : 0.4443 0.5831 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] plunger : 0.1619 0.8946 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] dish rack : 0.5674 0.8831 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] broom : 0.0380 0.1465 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] range hood : 0.6072 0.9130 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] handicap bar : 0.0467 0.7000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] shower floor : 0.6267 0.9296 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] mailbox : 0.3631 0.3637 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] bowl : 0.0494 0.1152 +[2025-03-11 01:40:40,214 INFO hook.py line 689 2389709] paper bag : 0.0158 0.0356 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] divider : 0.3540 0.5036 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] laundry detergent: 0.0710 0.0712 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] bathroom counter: 0.0681 0.0743 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] object : 0.0179 0.0234 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] bathroom vanity: 0.4352 0.8661 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] closet wall : 0.0350 0.0543 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] laundry hamper : 0.1447 0.1891 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] bathroom stall door: 0.4807 0.6383 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] ceiling light : 0.2397 0.4224 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] trash bin : 0.3199 0.4286 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] dumbbell : 0.3590 0.9439 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] stair rail : 0.1586 0.2260 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] bathroom cabinet: 0.0153 0.0155 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] closet rod : 0.2297 0.7402 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] shower head : 0.1600 0.3406 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:40:40,215 INFO hook.py line 689 2389709] case of water bottles: 0.1735 0.1855 +[2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:40:40,216 INFO hook.py line 689 2389709] mattress : 0.0020 0.0020 +[2025-03-11 01:40:40,216 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:40:40,216 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2337/0.3344/0.7948. +[2025-03-11 01:40:40,217 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:40:40,237 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2337 +[2025-03-11 01:40:40,238 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2337 +[2025-03-11 01:40:40,238 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:41:11,273 INFO hook.py line 566 2389709] Train: [11/100][50/300] Data 0.003 (0.002) Batch 0.482 (0.509) Remain 03:48:25 loss: 1.0271 Lr: 4.96355e-03 +[2025-03-11 01:41:36,171 INFO hook.py line 566 2389709] Train: [11/100][100/300] Data 0.002 (0.002) Batch 0.533 (0.503) Remain 03:45:33 loss: 0.8853 Lr: 4.96117e-03 +[2025-03-11 01:42:00,575 INFO hook.py line 566 2389709] Train: [11/100][150/300] Data 0.003 (0.002) Batch 0.548 (0.498) Remain 03:42:51 loss: 1.2229 Lr: 4.95872e-03 +[2025-03-11 01:42:24,850 INFO hook.py line 566 2389709] Train: [11/100][200/300] Data 0.002 (0.002) Batch 0.476 (0.495) Remain 03:41:01 loss: 1.1371 Lr: 4.95619e-03 +[2025-03-11 01:42:49,551 INFO hook.py line 566 2389709] Train: [11/100][250/300] Data 0.002 (0.002) Batch 0.487 (0.495) Remain 03:40:31 loss: 1.2560 Lr: 4.95358e-03 +[2025-03-11 01:43:13,629 INFO hook.py line 566 2389709] Train: [11/100][300/300] Data 0.001 (0.002) Batch 0.466 (0.492) Remain 03:39:08 loss: 0.9371 Lr: 4.95090e-03 +[2025-03-11 01:43:13,629 INFO misc.py line 135 2389709] Train result: loss: 1.1872 +[2025-03-11 01:43:13,721 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:44:09,269 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6413 +[2025-03-11 01:44:09,319 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2222 +[2025-03-11 01:44:09,366 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5932 +[2025-03-11 01:44:09,419 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5524 +[2025-03-11 01:44:09,458 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9527 +[2025-03-11 01:44:09,517 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9465 +[2025-03-11 01:44:09,569 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9282 +[2025-03-11 01:44:09,602 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.7861 +[2025-03-11 01:44:09,649 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4951 +[2025-03-11 01:44:09,685 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1186 +[2025-03-11 01:44:09,732 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1394 +[2025-03-11 01:44:09,769 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.7042 +[2025-03-11 01:44:09,817 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1634 +[2025-03-11 01:44:09,859 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.0456 +[2025-03-11 01:44:09,896 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9237 +[2025-03-11 01:44:09,945 INFO hook.py line 748 2389709] Test: [16/78] Loss 1.4486 +[2025-03-11 01:44:09,982 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0465 +[2025-03-11 01:44:10,024 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7681 +[2025-03-11 01:44:10,080 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1198 +[2025-03-11 01:44:10,117 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4085 +[2025-03-11 01:44:10,151 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6533 +[2025-03-11 01:44:10,192 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6114 +[2025-03-11 01:44:10,227 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6555 +[2025-03-11 01:44:10,280 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0740 +[2025-03-11 01:44:10,327 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4612 +[2025-03-11 01:44:10,371 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4917 +[2025-03-11 01:44:10,428 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6552 +[2025-03-11 01:44:10,471 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7976 +[2025-03-11 01:44:10,501 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8682 +[2025-03-11 01:44:10,565 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6671 +[2025-03-11 01:44:10,623 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6288 +[2025-03-11 01:44:10,663 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1530 +[2025-03-11 01:44:10,721 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.6593 +[2025-03-11 01:44:10,765 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6704 +[2025-03-11 01:44:10,805 INFO hook.py line 748 2389709] Test: [35/78] Loss 0.8948 +[2025-03-11 01:44:10,848 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.1246 +[2025-03-11 01:44:10,886 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.8150 +[2025-03-11 01:44:10,915 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7905 +[2025-03-11 01:44:10,984 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2304 +[2025-03-11 01:44:11,039 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6272 +[2025-03-11 01:44:11,100 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1905 +[2025-03-11 01:44:11,141 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5082 +[2025-03-11 01:44:11,179 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0616 +[2025-03-11 01:44:11,259 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8568 +[2025-03-11 01:44:11,295 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4607 +[2025-03-11 01:44:11,349 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9753 +[2025-03-11 01:44:11,389 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8839 +[2025-03-11 01:44:11,424 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2612 +[2025-03-11 01:44:11,459 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2773 +[2025-03-11 01:44:11,496 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0574 +[2025-03-11 01:44:11,527 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.7663 +[2025-03-11 01:44:11,561 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6757 +[2025-03-11 01:44:11,589 INFO hook.py line 748 2389709] Test: [53/78] Loss 0.9413 +[2025-03-11 01:44:11,628 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5650 +[2025-03-11 01:44:11,670 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1714 +[2025-03-11 01:44:11,714 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8181 +[2025-03-11 01:44:11,752 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.4669 +[2025-03-11 01:44:11,781 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.5631 +[2025-03-11 01:44:11,819 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7001 +[2025-03-11 01:44:11,856 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3988 +[2025-03-11 01:44:11,883 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8086 +[2025-03-11 01:44:11,919 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9492 +[2025-03-11 01:44:11,957 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1385 +[2025-03-11 01:44:12,017 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.4491 +[2025-03-11 01:44:12,044 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5491 +[2025-03-11 01:44:12,092 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6059 +[2025-03-11 01:44:12,132 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1878 +[2025-03-11 01:44:12,169 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1358 +[2025-03-11 01:44:12,204 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4150 +[2025-03-11 01:44:12,269 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8467 +[2025-03-11 01:44:12,316 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5403 +[2025-03-11 01:44:12,371 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7995 +[2025-03-11 01:44:12,424 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5595 +[2025-03-11 01:44:12,472 INFO hook.py line 748 2389709] Test: [74/78] Loss 1.9891 +[2025-03-11 01:44:12,526 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5998 +[2025-03-11 01:44:12,557 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8311 +[2025-03-11 01:44:12,616 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7183 +[2025-03-11 01:44:12,642 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0201 +[2025-03-11 01:44:14,007 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:44:14,007 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:44:14,007 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] wall : 0.7690 0.9323 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] chair : 0.7155 0.8074 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] floor : 0.9527 0.9836 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] table : 0.6252 0.7911 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] door : 0.6013 0.6761 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] couch : 0.7604 0.9347 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] cabinet : 0.3115 0.4985 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] shelf : 0.4251 0.6292 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] desk : 0.5260 0.6451 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] office chair : 0.1621 0.2090 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] bed : 0.7608 0.8925 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] pillow : 0.4463 0.7438 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] sink : 0.6184 0.7151 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] picture : 0.3391 0.4222 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] window : 0.5195 0.7269 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] toilet : 0.8768 0.9651 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] bookshelf : 0.4845 0.6025 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] monitor : 0.8281 0.9117 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] curtain : 0.7070 0.7596 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] book : 0.4275 0.6388 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] armchair : 0.4183 0.7103 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] coffee table : 0.6404 0.8424 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] box : 0.2863 0.3714 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] refrigerator : 0.6176 0.6835 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] lamp : 0.5879 0.7896 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] kitchen cabinet: 0.6175 0.7424 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] towel : 0.4379 0.5308 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] clothes : 0.1977 0.2493 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] tv : 0.7527 0.9255 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] nightstand : 0.6212 0.9012 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] counter : 0.2763 0.4783 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] dresser : 0.2858 0.4448 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] stool : 0.4529 0.6427 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] plant : 0.6355 0.9065 +[2025-03-11 01:44:14,008 INFO hook.py line 689 2389709] ceiling : 0.9263 0.9600 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] bathtub : 0.8410 0.9220 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] end table : 0.1801 0.3916 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] keyboard : 0.3549 0.5550 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] bag : 0.0716 0.0848 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] backpack : 0.5528 0.6539 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] toilet paper : 0.3930 0.4837 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] printer : 0.3344 0.4566 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] tv stand : 0.3806 0.8557 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] whiteboard : 0.4722 0.5561 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] blanket : 0.0003 0.0003 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] shower curtain : 0.6134 0.7321 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] trash can : 0.5738 0.8232 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] closet : 0.0112 0.0123 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] stairs : 0.4941 0.5345 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] microwave : 0.4947 0.7499 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] stove : 0.6295 0.7467 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] shoe : 0.3148 0.3462 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] computer tower : 0.5808 0.6661 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] bottle : 0.1155 0.2994 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] ottoman : 0.2740 0.3197 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] bench : 0.2719 0.3756 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] board : 0.0826 0.1178 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] washing machine: 0.6805 0.8841 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] mirror : 0.3138 0.3708 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] copier : 0.7728 0.9296 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] sofa chair : 0.0960 0.1837 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] file cabinet : 0.4254 0.6027 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] fan : 0.2324 0.3564 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] laptop : 0.2994 0.3132 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] shower : 0.1582 0.1673 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] paper : 0.0425 0.0939 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] person : 0.1386 0.1509 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] paper towel dispenser: 0.4830 0.5777 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] oven : 0.0365 0.0375 +[2025-03-11 01:44:14,009 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] blackboard : 0.6201 0.6486 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] piano : 0.3218 0.5799 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] suitcase : 0.3622 0.3761 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] rail : 0.0266 0.0276 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] radiator : 0.5375 0.6679 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] recycling bin : 0.3986 0.4762 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] wardrobe : 0.0709 0.0951 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] soap dispenser : 0.7177 0.8646 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] telephone : 0.3094 0.4498 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] bucket : 0.2141 0.3962 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] clock : 0.2167 0.3273 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] light : 0.0000 0.0000 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] laundry basket : 0.0003 0.0003 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] pipe : 0.0411 0.0568 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] clothes dryer : 0.0537 0.0538 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] guitar : 0.2236 0.3156 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] toilet paper holder: 0.0144 0.0236 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] column : 0.0007 0.0007 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] ladder : 0.2307 0.2699 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] bathroom stall : 0.3604 0.4171 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] shower wall : 0.4803 0.5719 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] cup : 0.2089 0.4581 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] jacket : 0.0958 0.1010 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] storage bin : 0.0091 0.0116 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] coffee maker : 0.2931 0.9422 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] dishwasher : 0.0113 0.0142 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] paper towel roll: 0.1322 0.1536 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] mat : 0.0246 0.0274 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] windowsill : 0.1865 0.2549 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] bar : 0.1293 0.1772 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] toaster : 0.0018 0.0038 +[2025-03-11 01:44:14,010 INFO hook.py line 689 2389709] bulletin board : 0.1257 0.1992 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] fireplace : 0.5206 0.5910 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] soap dish : 0.2684 0.3950 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] kitchen counter: 0.4144 0.5103 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] doorframe : 0.3437 0.4440 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2230 0.2793 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] mini fridge : 0.2566 0.5131 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] ball : 0.3039 0.8974 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] hat : 0.0008 0.0013 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] shower curtain rod: 0.3084 0.8548 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] water cooler : 0.5044 0.7972 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] paper cutter : 0.1822 0.2060 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] tray : 0.0006 0.0012 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] shower door : 0.0008 0.0008 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] pillar : 0.0146 0.0167 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] ledge : 0.0730 0.0835 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] toaster oven : 0.1325 0.1337 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] mouse : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7047 0.7998 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] cart : 0.0355 0.0369 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] scale : 0.0502 0.6029 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] tissue box : 0.0476 0.0597 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] decoration : 0.0008 0.0012 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] closet door : 0.0202 0.0225 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] vacuum cleaner : 0.3454 0.5115 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] plunger : 0.3248 0.9389 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] dish rack : 0.4445 0.8435 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] broom : 0.0241 0.0323 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:44:14,011 INFO hook.py line 689 2389709] range hood : 0.6520 0.7146 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] handicap bar : 0.0429 0.8118 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] shower floor : 0.5287 0.9644 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] water pitcher : 0.0076 0.0334 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] mailbox : 0.4022 0.4202 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] bowl : 0.0255 0.0981 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] paper bag : 0.0291 0.0485 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] projector screen: 0.0001 0.0001 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] divider : 0.4294 0.5623 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] laundry detergent: 0.2257 0.2315 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] bathroom counter: 0.2371 0.4244 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] object : 0.0410 0.1053 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] bathroom vanity: 0.3980 0.5960 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] closet wall : 0.0580 0.0820 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] laundry hamper : 0.0079 0.0087 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] bathroom stall door: 0.5631 0.5980 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] ceiling light : 0.2088 0.2794 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] trash bin : 0.3160 0.5552 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] dumbbell : 0.4433 0.9128 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] stair rail : 0.0389 0.0460 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] tube : 0.0160 0.0201 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] bathroom cabinet: 0.2638 0.3647 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] closet rod : 0.6572 0.7876 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] coffee kettle : 0.1268 0.1429 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] shower head : 0.3249 0.3945 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] case of water bottles: 0.0591 0.0591 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:44:14,012 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:44:14,013 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:44:14,013 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:44:14,013 INFO hook.py line 689 2389709] mattress : 0.0007 0.0007 +[2025-03-11 01:44:14,013 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:44:14,013 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2470/0.3391/0.8015. +[2025-03-11 01:44:14,013 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:44:14,027 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2470 +[2025-03-11 01:44:14,027 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2470 +[2025-03-11 01:44:14,027 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:44:45,039 INFO hook.py line 566 2389709] Train: [12/100][50/300] Data 0.002 (0.002) Batch 0.474 (0.495) Remain 03:39:49 loss: 1.3053 Lr: 4.94815e-03 +[2025-03-11 01:45:09,907 INFO hook.py line 566 2389709] Train: [12/100][100/300] Data 0.004 (0.002) Batch 0.479 (0.496) Remain 03:39:58 loss: 1.2236 Lr: 4.94532e-03 +[2025-03-11 01:45:34,261 INFO hook.py line 566 2389709] Train: [12/100][150/300] Data 0.002 (0.002) Batch 0.510 (0.493) Remain 03:38:11 loss: 1.2455 Lr: 4.94241e-03 +[2025-03-11 01:45:59,046 INFO hook.py line 566 2389709] Train: [12/100][200/300] Data 0.002 (0.002) Batch 0.533 (0.494) Remain 03:38:04 loss: 1.2394 Lr: 4.93944e-03 +[2025-03-11 01:46:23,593 INFO hook.py line 566 2389709] Train: [12/100][250/300] Data 0.003 (0.002) Batch 0.450 (0.493) Remain 03:37:24 loss: 0.9073 Lr: 4.93639e-03 +[2025-03-11 01:46:47,766 INFO hook.py line 566 2389709] Train: [12/100][300/300] Data 0.002 (0.002) Batch 0.472 (0.492) Remain 03:36:16 loss: 1.1080 Lr: 4.93326e-03 +[2025-03-11 01:46:47,767 INFO misc.py line 135 2389709] Train result: loss: 1.1576 +[2025-03-11 01:46:47,882 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:47:42,818 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5962 +[2025-03-11 01:47:42,979 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3433 +[2025-03-11 01:47:43,023 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7698 +[2025-03-11 01:47:43,075 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4714 +[2025-03-11 01:47:43,112 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9334 +[2025-03-11 01:47:43,172 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9073 +[2025-03-11 01:47:43,230 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9132 +[2025-03-11 01:47:43,261 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.7933 +[2025-03-11 01:47:43,309 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5605 +[2025-03-11 01:47:43,349 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1684 +[2025-03-11 01:47:43,400 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1469 +[2025-03-11 01:47:43,441 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1640 +[2025-03-11 01:47:43,493 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.8494 +[2025-03-11 01:47:43,538 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.6505 +[2025-03-11 01:47:43,577 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.7187 +[2025-03-11 01:47:43,626 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.2012 +[2025-03-11 01:47:43,666 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2191 +[2025-03-11 01:47:43,703 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8058 +[2025-03-11 01:47:43,748 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1384 +[2025-03-11 01:47:43,786 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.2718 +[2025-03-11 01:47:43,822 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6453 +[2025-03-11 01:47:43,863 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8346 +[2025-03-11 01:47:43,893 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5449 +[2025-03-11 01:47:43,942 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0376 +[2025-03-11 01:47:43,987 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5957 +[2025-03-11 01:47:44,030 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1408 +[2025-03-11 01:47:44,083 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6034 +[2025-03-11 01:47:44,129 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6572 +[2025-03-11 01:47:44,167 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8907 +[2025-03-11 01:47:44,228 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3274 +[2025-03-11 01:47:44,289 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6640 +[2025-03-11 01:47:44,340 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0906 +[2025-03-11 01:47:44,402 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0666 +[2025-03-11 01:47:44,440 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.2734 +[2025-03-11 01:47:44,482 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3115 +[2025-03-11 01:47:44,522 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.1869 +[2025-03-11 01:47:44,566 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4114 +[2025-03-11 01:47:44,610 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8464 +[2025-03-11 01:47:44,677 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1739 +[2025-03-11 01:47:44,729 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8669 +[2025-03-11 01:47:44,782 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.0194 +[2025-03-11 01:47:44,814 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5146 +[2025-03-11 01:47:44,854 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2016 +[2025-03-11 01:47:44,914 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0001 +[2025-03-11 01:47:44,947 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.1050 +[2025-03-11 01:47:44,995 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0073 +[2025-03-11 01:47:45,035 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7166 +[2025-03-11 01:47:45,074 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3219 +[2025-03-11 01:47:45,109 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3063 +[2025-03-11 01:47:45,141 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6523 +[2025-03-11 01:47:45,173 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1080 +[2025-03-11 01:47:45,213 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.3434 +[2025-03-11 01:47:45,240 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3891 +[2025-03-11 01:47:45,279 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.4019 +[2025-03-11 01:47:45,318 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0375 +[2025-03-11 01:47:45,362 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0448 +[2025-03-11 01:47:45,400 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5101 +[2025-03-11 01:47:45,428 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.3619 +[2025-03-11 01:47:45,469 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7540 +[2025-03-11 01:47:45,506 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5337 +[2025-03-11 01:47:45,533 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8547 +[2025-03-11 01:47:45,569 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1744 +[2025-03-11 01:47:45,611 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1942 +[2025-03-11 01:47:45,671 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8076 +[2025-03-11 01:47:45,699 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.9749 +[2025-03-11 01:47:45,743 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4036 +[2025-03-11 01:47:45,785 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9824 +[2025-03-11 01:47:45,822 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7551 +[2025-03-11 01:47:45,852 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3843 +[2025-03-11 01:47:45,914 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6180 +[2025-03-11 01:47:45,961 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5288 +[2025-03-11 01:47:46,016 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6551 +[2025-03-11 01:47:46,070 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7383 +[2025-03-11 01:47:46,113 INFO hook.py line 748 2389709] Test: [74/78] Loss 1.9450 +[2025-03-11 01:47:46,164 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5923 +[2025-03-11 01:47:46,194 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6348 +[2025-03-11 01:47:46,253 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6968 +[2025-03-11 01:47:46,284 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9053 +[2025-03-11 01:47:47,642 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:47:47,642 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:47:47,642 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:47:47,642 INFO hook.py line 689 2389709] wall : 0.7721 0.8813 +[2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] chair : 0.7425 0.9107 +[2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] floor : 0.9541 0.9837 +[2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] table : 0.6049 0.6842 +[2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] door : 0.5755 0.6298 +[2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] couch : 0.7635 0.8683 +[2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] cabinet : 0.2354 0.3371 +[2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] shelf : 0.3914 0.6179 +[2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] desk : 0.5035 0.7997 +[2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] office chair : 0.0086 0.0086 +[2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] bed : 0.7568 0.9006 +[2025-03-11 01:47:47,643 INFO hook.py line 689 2389709] pillow : 0.4797 0.7137 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] sink : 0.6334 0.7548 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] picture : 0.3280 0.4555 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] window : 0.4972 0.7013 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] toilet : 0.9295 0.9499 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] bookshelf : 0.3900 0.4802 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] monitor : 0.8400 0.9042 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] curtain : 0.6397 0.8245 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] book : 0.3858 0.8173 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] armchair : 0.5212 0.8604 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] coffee table : 0.6744 0.8225 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] box : 0.2962 0.3794 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] refrigerator : 0.6401 0.7330 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] lamp : 0.6475 0.7425 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] kitchen cabinet: 0.5587 0.8619 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] towel : 0.4467 0.6900 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] clothes : 0.2260 0.3824 +[2025-03-11 01:47:47,644 INFO hook.py line 689 2389709] tv : 0.6761 0.8980 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] nightstand : 0.5171 0.8284 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] counter : 0.1450 0.1646 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] dresser : 0.3144 0.4969 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] stool : 0.4697 0.7673 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] plant : 0.6352 0.9196 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] ceiling : 0.9157 0.9762 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] bathtub : 0.8283 0.8891 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] end table : 0.1734 0.2417 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] keyboard : 0.1783 0.7033 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] bag : 0.1994 0.3348 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] backpack : 0.5845 0.7000 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] toilet paper : 0.4107 0.5356 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] printer : 0.3612 0.4448 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] tv stand : 0.4601 0.9050 +[2025-03-11 01:47:47,645 INFO hook.py line 689 2389709] whiteboard : 0.4855 0.7494 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] shower curtain : 0.6984 0.7977 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] trash can : 0.6014 0.7563 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] closet : 0.0233 0.0298 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] stairs : 0.5898 0.6230 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] microwave : 0.2928 0.7695 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] stove : 0.5496 0.8495 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] shoe : 0.4171 0.7041 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] computer tower : 0.3698 0.8542 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] bottle : 0.1117 0.2577 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] ottoman : 0.2991 0.4096 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] bench : 0.3540 0.4511 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] board : 0.0900 0.2390 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] washing machine: 0.6023 0.6360 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] mirror : 0.2988 0.4263 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] copier : 0.8584 0.9011 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] basket : 0.0008 0.0020 +[2025-03-11 01:47:47,646 INFO hook.py line 689 2389709] sofa chair : 0.0004 0.0004 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] file cabinet : 0.4080 0.6109 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] fan : 0.1560 0.1655 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] laptop : 0.3187 0.5406 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] shower : 0.1678 0.2321 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] paper : 0.0441 0.0692 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] person : 0.2369 0.2542 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] paper towel dispenser: 0.3791 0.6440 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] oven : 0.0293 0.0307 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] blinds : 0.0501 0.0842 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] blackboard : 0.5502 0.6208 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] piano : 0.1714 0.3277 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] suitcase : 0.5696 0.5970 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] rail : 0.0064 0.0065 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] radiator : 0.5593 0.6478 +[2025-03-11 01:47:47,647 INFO hook.py line 689 2389709] recycling bin : 0.3671 0.4321 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] container : 0.0021 0.0021 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] wardrobe : 0.1477 0.2462 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] soap dispenser : 0.6511 0.6813 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] telephone : 0.1892 0.4105 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] bucket : 0.3118 0.4961 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] clock : 0.1315 0.1460 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] stand : 0.0258 0.1743 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] light : 0.1984 0.2740 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] pipe : 0.0350 0.0367 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] clothes dryer : 0.5212 0.7650 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] guitar : 0.2943 0.3501 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:47:47,648 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] ladder : 0.3427 0.4502 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] bathroom stall : 0.4076 0.7361 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] shower wall : 0.4858 0.6588 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] cup : 0.1540 0.6409 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] jacket : 0.1283 0.2161 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] storage bin : 0.0868 0.1122 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] coffee maker : 0.6974 0.8465 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] dishwasher : 0.0401 0.0417 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] paper towel roll: 0.2342 0.6898 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] mat : 0.0870 0.0939 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] windowsill : 0.0571 0.0585 +[2025-03-11 01:47:47,649 INFO hook.py line 689 2389709] bar : 0.1309 0.3336 +[2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] bulletin board : 0.1688 0.1752 +[2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] fireplace : 0.1687 0.1735 +[2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] soap dish : 0.2125 0.4625 +[2025-03-11 01:47:47,650 INFO hook.py line 689 2389709] kitchen counter: 0.4976 0.8184 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] doorframe : 0.2917 0.3682 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2916 0.3516 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] mini fridge : 0.3406 0.5077 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] ball : 0.5422 0.8850 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] shower curtain rod: 0.2069 0.8776 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] water cooler : 0.2762 0.3555 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] paper cutter : 0.1675 0.2698 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] shower door : 0.0110 0.0249 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] pillar : 0.0053 0.0054 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] ledge : 0.0525 0.0929 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] toaster oven : 0.1854 0.1919 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] mouse : 0.0333 0.3947 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5330 0.8557 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] cart : 0.0817 0.0859 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:47:47,651 INFO hook.py line 689 2389709] scale : 0.1124 0.5010 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] tissue box : 0.0654 0.0763 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] decoration : 0.2624 0.4573 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] sign : 0.0103 0.0110 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] closet door : 0.0846 0.0904 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] vacuum cleaner : 0.4159 0.4229 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] plunger : 0.5318 0.7524 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] dish rack : 0.2071 0.4313 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] broom : 0.0151 0.0299 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] range hood : 0.6837 0.8824 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] dustpan : 0.0255 0.0492 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:47:47,652 INFO hook.py line 689 2389709] handicap bar : 0.0345 0.6735 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] shower floor : 0.4002 0.9840 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] water pitcher : 0.0034 0.0191 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] mailbox : 0.3890 0.4019 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] bowl : 0.0012 0.0016 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] paper bag : 0.0097 0.0157 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] projector screen: 0.0008 0.0009 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] divider : 0.4302 0.4679 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] laundry detergent: 0.0321 0.0385 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] bathroom counter: 0.2755 0.3399 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] object : 0.0090 0.0114 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] bathroom vanity: 0.4757 0.7436 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] closet wall : 0.1855 0.4134 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] laundry hamper : 0.0004 0.0005 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] bathroom stall door: 0.4445 0.8284 +[2025-03-11 01:47:47,653 INFO hook.py line 689 2389709] ceiling light : 0.1914 0.2094 +[2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] trash bin : 0.2868 0.7067 +[2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] dumbbell : 0.0505 0.9628 +[2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] stair rail : 0.0700 0.0919 +[2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] tube : 0.0000 0.0000 +[2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] bathroom cabinet: 0.0838 0.0911 +[2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] closet rod : 0.2739 0.9314 +[2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] shower head : 0.2760 0.3341 +[2025-03-11 01:47:47,654 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] case of water bottles: 0.0123 0.0125 +[2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:47:47,655 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:47:47,656 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:47:47,656 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:47:47,656 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:47:47,656 INFO hook.py line 689 2389709] mattress : 0.0005 0.0005 +[2025-03-11 01:47:47,656 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:47:47,656 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2437/0.3578/0.7952. +[2025-03-11 01:47:47,656 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:47:47,661 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2470 +[2025-03-11 01:47:47,662 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:48:18,258 INFO hook.py line 566 2389709] Train: [13/100][50/300] Data 0.002 (0.002) Batch 0.479 (0.489) Remain 03:34:56 loss: 1.2448 Lr: 4.93006e-03 +[2025-03-11 01:48:43,299 INFO hook.py line 566 2389709] Train: [13/100][100/300] Data 0.003 (0.002) Batch 0.499 (0.495) Remain 03:37:06 loss: 1.3970 Lr: 4.92679e-03 +[2025-03-11 01:49:07,606 INFO hook.py line 566 2389709] Train: [13/100][150/300] Data 0.002 (0.002) Batch 0.469 (0.492) Remain 03:35:19 loss: 0.9241 Lr: 4.92344e-03 +[2025-03-11 01:49:32,502 INFO hook.py line 566 2389709] Train: [13/100][200/300] Data 0.002 (0.002) Batch 0.560 (0.494) Remain 03:35:33 loss: 1.1413 Lr: 4.92002e-03 +[2025-03-11 01:49:56,950 INFO hook.py line 566 2389709] Train: [13/100][250/300] Data 0.003 (0.002) Batch 0.505 (0.493) Remain 03:34:43 loss: 0.8668 Lr: 4.91653e-03 +[2025-03-11 01:50:21,136 INFO hook.py line 566 2389709] Train: [13/100][300/300] Data 0.002 (0.002) Batch 0.441 (0.491) Remain 03:33:39 loss: 1.0762 Lr: 4.91296e-03 +[2025-03-11 01:50:21,137 INFO misc.py line 135 2389709] Train result: loss: 1.1338 +[2025-03-11 01:50:21,255 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:51:10,997 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7489 +[2025-03-11 01:51:11,077 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4757 +[2025-03-11 01:51:11,114 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7141 +[2025-03-11 01:51:11,173 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4497 +[2025-03-11 01:51:11,214 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.1150 +[2025-03-11 01:51:11,274 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.4790 +[2025-03-11 01:51:11,332 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8670 +[2025-03-11 01:51:11,372 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6194 +[2025-03-11 01:51:11,419 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3821 +[2025-03-11 01:51:11,466 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4175 +[2025-03-11 01:51:11,520 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2850 +[2025-03-11 01:51:11,557 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3493 +[2025-03-11 01:51:11,608 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.1633 +[2025-03-11 01:51:11,655 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.1141 +[2025-03-11 01:51:11,695 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1062 +[2025-03-11 01:51:11,741 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3061 +[2025-03-11 01:51:11,783 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0326 +[2025-03-11 01:51:11,826 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8783 +[2025-03-11 01:51:11,881 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1670 +[2025-03-11 01:51:11,915 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7064 +[2025-03-11 01:51:11,954 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7629 +[2025-03-11 01:51:11,999 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7251 +[2025-03-11 01:51:12,047 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.1317 +[2025-03-11 01:51:12,100 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8271 +[2025-03-11 01:51:12,144 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9319 +[2025-03-11 01:51:12,188 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2230 +[2025-03-11 01:51:12,242 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7162 +[2025-03-11 01:51:12,285 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6315 +[2025-03-11 01:51:12,316 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8889 +[2025-03-11 01:51:12,376 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1089 +[2025-03-11 01:51:12,437 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6745 +[2025-03-11 01:51:12,478 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3896 +[2025-03-11 01:51:12,539 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.2805 +[2025-03-11 01:51:12,578 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.0460 +[2025-03-11 01:51:12,618 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1705 +[2025-03-11 01:51:12,659 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2662 +[2025-03-11 01:51:12,696 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.1314 +[2025-03-11 01:51:12,726 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8247 +[2025-03-11 01:51:12,793 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5605 +[2025-03-11 01:51:12,843 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8533 +[2025-03-11 01:51:12,887 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3769 +[2025-03-11 01:51:12,920 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5554 +[2025-03-11 01:51:12,959 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2459 +[2025-03-11 01:51:13,022 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0008 +[2025-03-11 01:51:13,061 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7173 +[2025-03-11 01:51:13,107 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1926 +[2025-03-11 01:51:13,150 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6868 +[2025-03-11 01:51:13,189 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0593 +[2025-03-11 01:51:13,223 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1385 +[2025-03-11 01:51:13,255 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9514 +[2025-03-11 01:51:13,288 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2904 +[2025-03-11 01:51:13,327 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4107 +[2025-03-11 01:51:13,354 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1851 +[2025-03-11 01:51:13,394 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.0300 +[2025-03-11 01:51:13,434 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0243 +[2025-03-11 01:51:13,480 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0631 +[2025-03-11 01:51:13,518 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8048 +[2025-03-11 01:51:13,546 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4612 +[2025-03-11 01:51:13,587 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8577 +[2025-03-11 01:51:13,623 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5884 +[2025-03-11 01:51:13,650 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7960 +[2025-03-11 01:51:13,686 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1465 +[2025-03-11 01:51:13,727 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.8841 +[2025-03-11 01:51:13,787 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5285 +[2025-03-11 01:51:13,815 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1338 +[2025-03-11 01:51:13,857 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.3272 +[2025-03-11 01:51:13,900 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.3483 +[2025-03-11 01:51:13,938 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3917 +[2025-03-11 01:51:13,969 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3263 +[2025-03-11 01:51:14,029 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2930 +[2025-03-11 01:51:14,075 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8884 +[2025-03-11 01:51:14,130 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7178 +[2025-03-11 01:51:14,183 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6562 +[2025-03-11 01:51:14,226 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.0253 +[2025-03-11 01:51:14,277 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4844 +[2025-03-11 01:51:14,306 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7283 +[2025-03-11 01:51:14,366 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8535 +[2025-03-11 01:51:14,397 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0462 +[2025-03-11 01:51:15,666 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:51:15,667 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:51:15,667 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] wall : 0.7507 0.8646 +[2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] chair : 0.7326 0.8321 +[2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] floor : 0.9535 0.9839 +[2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] table : 0.6136 0.6838 +[2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] door : 0.6416 0.7426 +[2025-03-11 01:51:15,667 INFO hook.py line 689 2389709] couch : 0.7021 0.8818 +[2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] cabinet : 0.2883 0.5283 +[2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] shelf : 0.3836 0.5923 +[2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] desk : 0.4982 0.7776 +[2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] office chair : 0.1753 0.2479 +[2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] bed : 0.7535 0.8506 +[2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] pillow : 0.4898 0.7576 +[2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] sink : 0.6197 0.6906 +[2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] picture : 0.3119 0.4193 +[2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] window : 0.5130 0.7653 +[2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] toilet : 0.9037 0.9552 +[2025-03-11 01:51:15,668 INFO hook.py line 689 2389709] bookshelf : 0.4894 0.6465 +[2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] monitor : 0.8430 0.9160 +[2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] curtain : 0.6240 0.8741 +[2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] book : 0.4311 0.6244 +[2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] armchair : 0.3104 0.3546 +[2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] coffee table : 0.6730 0.7923 +[2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] box : 0.1531 0.1718 +[2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] refrigerator : 0.6027 0.6603 +[2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] lamp : 0.6361 0.7200 +[2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] kitchen cabinet: 0.5843 0.7119 +[2025-03-11 01:51:15,669 INFO hook.py line 689 2389709] towel : 0.4287 0.5536 +[2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] clothes : 0.1867 0.3648 +[2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] tv : 0.6980 0.8616 +[2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] nightstand : 0.5514 0.8528 +[2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] counter : 0.1224 0.1628 +[2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] dresser : 0.3319 0.5725 +[2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] stool : 0.4017 0.6490 +[2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] plant : 0.6074 0.9237 +[2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] ceiling : 0.9126 0.9432 +[2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] bathtub : 0.8152 0.9068 +[2025-03-11 01:51:15,670 INFO hook.py line 689 2389709] end table : 0.1694 0.2369 +[2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] keyboard : 0.3748 0.4451 +[2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] bag : 0.1319 0.2097 +[2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] backpack : 0.5372 0.6722 +[2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] toilet paper : 0.3954 0.5802 +[2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] printer : 0.4565 0.5458 +[2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] tv stand : 0.4301 0.4493 +[2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] whiteboard : 0.4514 0.6333 +[2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] blanket : 0.0160 0.0194 +[2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] shower curtain : 0.6059 0.7792 +[2025-03-11 01:51:15,671 INFO hook.py line 689 2389709] trash can : 0.5454 0.8284 +[2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] closet : 0.0321 0.0469 +[2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] stairs : 0.6051 0.6645 +[2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] microwave : 0.5610 0.7110 +[2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] stove : 0.4925 0.5848 +[2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] shoe : 0.4251 0.7364 +[2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] computer tower : 0.5581 0.7825 +[2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] bottle : 0.1056 0.1609 +[2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] ottoman : 0.3289 0.3843 +[2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] bench : 0.3742 0.4519 +[2025-03-11 01:51:15,672 INFO hook.py line 689 2389709] board : 0.1041 0.1543 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] washing machine: 0.6685 0.7533 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] mirror : 0.3602 0.4424 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] copier : 0.7995 0.8500 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] sofa chair : 0.0966 0.2253 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] file cabinet : 0.3693 0.6960 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] fan : 0.3078 0.3738 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] laptop : 0.4127 0.5923 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] shower : 0.2593 0.3873 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] paper : 0.0415 0.0518 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] person : 0.1459 0.3087 +[2025-03-11 01:51:15,673 INFO hook.py line 689 2389709] paper towel dispenser: 0.4793 0.6235 +[2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] blinds : 0.0035 0.0038 +[2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] blackboard : 0.3677 0.8231 +[2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] piano : 0.5065 0.8524 +[2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] suitcase : 0.4466 0.4707 +[2025-03-11 01:51:15,674 INFO hook.py line 689 2389709] rail : 0.0093 0.0093 +[2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] radiator : 0.4877 0.6831 +[2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] recycling bin : 0.4252 0.5434 +[2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] container : 0.1006 0.1654 +[2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] wardrobe : 0.1545 0.2032 +[2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] soap dispenser : 0.7186 0.7671 +[2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] telephone : 0.2034 0.5629 +[2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] bucket : 0.2117 0.4617 +[2025-03-11 01:51:15,675 INFO hook.py line 689 2389709] clock : 0.1631 0.2072 +[2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] light : 0.0562 0.0666 +[2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] laundry basket : 0.1001 0.1449 +[2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] pipe : 0.0585 0.0972 +[2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] clothes dryer : 0.4831 0.5087 +[2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] guitar : 0.2158 0.7281 +[2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:51:15,676 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] ladder : 0.1967 0.2069 +[2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] bathroom stall : 0.4064 0.6522 +[2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] shower wall : 0.4443 0.7046 +[2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] cup : 0.1961 0.3743 +[2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] jacket : 0.0998 0.1409 +[2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] storage bin : 0.0530 0.1058 +[2025-03-11 01:51:15,677 INFO hook.py line 689 2389709] coffee maker : 0.1608 0.9883 +[2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] dishwasher : 0.0570 0.0741 +[2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 +[2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 +[2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] windowsill : 0.1818 0.2459 +[2025-03-11 01:51:15,679 INFO hook.py line 689 2389709] bar : 0.1309 0.1650 +[2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] bulletin board : 0.2375 0.5022 +[2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] ironing board : 0.0174 0.0196 +[2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] fireplace : 0.1518 0.1555 +[2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] soap dish : 0.2736 0.3578 +[2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] kitchen counter: 0.4550 0.5649 +[2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] doorframe : 0.3400 0.6028 +[2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] toilet paper dispenser: 0.1368 0.1451 +[2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] mini fridge : 0.4335 0.5305 +[2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] fire extinguisher: 0.0299 0.0463 +[2025-03-11 01:51:15,680 INFO hook.py line 689 2389709] ball : 0.3527 0.9183 +[2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] shower curtain rod: 0.3166 0.7842 +[2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] water cooler : 0.1518 0.2499 +[2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] paper cutter : 0.2159 0.2728 +[2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] tray : 0.0002 0.0002 +[2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] shower door : 0.0114 0.0129 +[2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] pillar : 0.0559 0.0793 +[2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] ledge : 0.0234 0.0297 +[2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] toaster oven : 0.0983 0.0990 +[2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] mouse : 0.0739 0.1171 +[2025-03-11 01:51:15,681 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6796 0.8054 +[2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] cart : 0.0354 0.0385 +[2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] scale : 0.1120 0.4097 +[2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] tissue box : 0.0704 0.0992 +[2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] decoration : 0.0828 0.1909 +[2025-03-11 01:51:15,682 INFO hook.py line 689 2389709] sign : 0.0120 0.0136 +[2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] closet door : 0.0130 0.0168 +[2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] vacuum cleaner : 0.6210 0.8481 +[2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] plunger : 0.2110 0.9359 +[2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] dish rack : 0.3635 0.4198 +[2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] broom : 0.0648 0.1029 +[2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:51:15,683 INFO hook.py line 689 2389709] range hood : 0.6954 0.8158 +[2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] handicap bar : 0.0072 0.0585 +[2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] shower floor : 0.3756 0.9378 +[2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] mailbox : 0.3086 0.3111 +[2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 01:51:15,684 INFO hook.py line 689 2389709] paper bag : 0.0441 0.0983 +[2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] projector screen: 0.0242 0.0355 +[2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] divider : 0.4549 0.5723 +[2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] laundry detergent: 0.0282 0.0283 +[2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] bathroom counter: 0.1686 0.1790 +[2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] object : 0.0366 0.0598 +[2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] bathroom vanity: 0.4343 0.8135 +[2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] closet wall : 0.1277 0.3135 +[2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] laundry hamper : 0.1499 0.4436 +[2025-03-11 01:51:15,685 INFO hook.py line 689 2389709] bathroom stall door: 0.5576 0.8234 +[2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] ceiling light : 0.2272 0.3276 +[2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] trash bin : 0.2766 0.3674 +[2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] dumbbell : 0.6194 0.9533 +[2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] stair rail : 0.1699 0.2002 +[2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] tube : 0.0403 0.1003 +[2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] bathroom cabinet: 0.2522 0.3574 +[2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] closet rod : 0.2163 0.8520 +[2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] coffee kettle : 0.0509 0.0788 +[2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:51:15,686 INFO hook.py line 689 2389709] shower head : 0.1613 0.3900 +[2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] case of water bottles: 0.0057 0.0057 +[2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:51:15,687 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:51:15,688 INFO hook.py line 689 2389709] mattress : 0.0501 0.0534 +[2025-03-11 01:51:15,688 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:51:15,688 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2457/0.3486/0.7904. +[2025-03-11 01:51:15,689 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:51:15,705 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2470 +[2025-03-11 01:51:15,705 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:51:45,585 INFO hook.py line 566 2389709] Train: [14/100][50/300] Data 0.002 (0.002) Batch 0.502 (0.496) Remain 03:35:11 loss: 1.2892 Lr: 4.90932e-03 +[2025-03-11 01:52:09,844 INFO hook.py line 566 2389709] Train: [14/100][100/300] Data 0.002 (0.002) Batch 0.479 (0.490) Remain 03:32:26 loss: 1.1339 Lr: 4.90560e-03 +[2025-03-11 01:52:34,367 INFO hook.py line 566 2389709] Train: [14/100][150/300] Data 0.002 (0.002) Batch 0.555 (0.490) Remain 03:32:03 loss: 1.0485 Lr: 4.90182e-03 +[2025-03-11 01:52:59,173 INFO hook.py line 566 2389709] Train: [14/100][200/300] Data 0.003 (0.002) Batch 0.421 (0.492) Remain 03:32:17 loss: 1.1330 Lr: 4.89796e-03 +[2025-03-11 01:53:24,206 INFO hook.py line 566 2389709] Train: [14/100][250/300] Data 0.002 (0.002) Batch 0.454 (0.494) Remain 03:32:39 loss: 1.0993 Lr: 4.89403e-03 +[2025-03-11 01:53:48,299 INFO hook.py line 566 2389709] Train: [14/100][300/300] Data 0.002 (0.002) Batch 0.491 (0.492) Remain 03:31:23 loss: 1.1368 Lr: 4.89002e-03 +[2025-03-11 01:53:48,299 INFO misc.py line 135 2389709] Train result: loss: 1.1257 +[2025-03-11 01:53:48,403 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:54:42,216 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5600 +[2025-03-11 01:54:42,324 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1332 +[2025-03-11 01:54:42,359 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8892 +[2025-03-11 01:54:42,409 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6840 +[2025-03-11 01:54:42,443 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9587 +[2025-03-11 01:54:42,506 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.6307 +[2025-03-11 01:54:42,562 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9951 +[2025-03-11 01:54:42,592 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4258 +[2025-03-11 01:54:42,641 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2371 +[2025-03-11 01:54:42,682 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.6209 +[2025-03-11 01:54:42,734 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1936 +[2025-03-11 01:54:42,782 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8983 +[2025-03-11 01:54:42,846 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0422 +[2025-03-11 01:54:42,892 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.6118 +[2025-03-11 01:54:42,931 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8655 +[2025-03-11 01:54:42,979 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3272 +[2025-03-11 01:54:43,025 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2161 +[2025-03-11 01:54:43,062 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7655 +[2025-03-11 01:54:43,109 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5643 +[2025-03-11 01:54:43,145 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5622 +[2025-03-11 01:54:43,183 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6481 +[2025-03-11 01:54:43,231 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7088 +[2025-03-11 01:54:43,267 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5309 +[2025-03-11 01:54:43,319 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.7665 +[2025-03-11 01:54:43,365 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3125 +[2025-03-11 01:54:43,409 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5755 +[2025-03-11 01:54:43,466 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6016 +[2025-03-11 01:54:43,522 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8308 +[2025-03-11 01:54:43,555 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9896 +[2025-03-11 01:54:43,611 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8577 +[2025-03-11 01:54:43,672 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7694 +[2025-03-11 01:54:43,713 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3991 +[2025-03-11 01:54:43,770 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1778 +[2025-03-11 01:54:43,814 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.8261 +[2025-03-11 01:54:43,850 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1172 +[2025-03-11 01:54:43,896 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4364 +[2025-03-11 01:54:43,938 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2782 +[2025-03-11 01:54:43,989 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8637 +[2025-03-11 01:54:44,060 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.5210 +[2025-03-11 01:54:44,116 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6534 +[2025-03-11 01:54:44,164 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2775 +[2025-03-11 01:54:44,200 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4718 +[2025-03-11 01:54:44,239 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2746 +[2025-03-11 01:54:44,308 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8118 +[2025-03-11 01:54:44,346 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4320 +[2025-03-11 01:54:44,396 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0020 +[2025-03-11 01:54:44,439 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6821 +[2025-03-11 01:54:44,477 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1804 +[2025-03-11 01:54:44,514 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5627 +[2025-03-11 01:54:44,551 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.1919 +[2025-03-11 01:54:44,586 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1392 +[2025-03-11 01:54:44,622 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6706 +[2025-03-11 01:54:44,654 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1996 +[2025-03-11 01:54:44,695 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9212 +[2025-03-11 01:54:44,737 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0775 +[2025-03-11 01:54:44,781 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0151 +[2025-03-11 01:54:44,820 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.4476 +[2025-03-11 01:54:44,849 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2478 +[2025-03-11 01:54:44,890 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9424 +[2025-03-11 01:54:44,932 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5466 +[2025-03-11 01:54:44,961 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8034 +[2025-03-11 01:54:45,001 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0383 +[2025-03-11 01:54:45,038 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2983 +[2025-03-11 01:54:45,098 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9304 +[2025-03-11 01:54:45,130 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2291 +[2025-03-11 01:54:45,177 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4859 +[2025-03-11 01:54:45,217 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1763 +[2025-03-11 01:54:45,259 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2593 +[2025-03-11 01:54:45,294 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4074 +[2025-03-11 01:54:45,359 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2189 +[2025-03-11 01:54:45,406 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7251 +[2025-03-11 01:54:45,463 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5067 +[2025-03-11 01:54:45,521 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7924 +[2025-03-11 01:54:45,569 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.3162 +[2025-03-11 01:54:45,623 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6213 +[2025-03-11 01:54:45,655 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8343 +[2025-03-11 01:54:45,717 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6064 +[2025-03-11 01:54:45,743 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8956 +[2025-03-11 01:54:46,954 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:54:46,954 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:54:46,954 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] wall : 0.7722 0.9184 +[2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] chair : 0.7508 0.8950 +[2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] floor : 0.9552 0.9792 +[2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] table : 0.5886 0.7976 +[2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] door : 0.5368 0.5751 +[2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] couch : 0.7740 0.8501 +[2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] cabinet : 0.2686 0.5260 +[2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] shelf : 0.3937 0.7129 +[2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] desk : 0.4888 0.6290 +[2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] office chair : 0.0008 0.0008 +[2025-03-11 01:54:46,955 INFO hook.py line 689 2389709] bed : 0.7679 0.8752 +[2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] pillow : 0.4563 0.5791 +[2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] sink : 0.6235 0.7553 +[2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] picture : 0.3443 0.4531 +[2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] window : 0.4869 0.5960 +[2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] toilet : 0.9102 0.9526 +[2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] bookshelf : 0.3873 0.4331 +[2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] monitor : 0.8287 0.9155 +[2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] curtain : 0.6560 0.8297 +[2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] book : 0.3975 0.5669 +[2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] armchair : 0.5048 0.9066 +[2025-03-11 01:54:46,956 INFO hook.py line 689 2389709] coffee table : 0.6210 0.8893 +[2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] box : 0.2364 0.3667 +[2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] refrigerator : 0.5203 0.5525 +[2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] lamp : 0.5836 0.7429 +[2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] kitchen cabinet: 0.5470 0.6478 +[2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] towel : 0.4403 0.5487 +[2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] clothes : 0.1832 0.2315 +[2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] tv : 0.8163 0.8798 +[2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] nightstand : 0.4222 0.8353 +[2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] counter : 0.1430 0.1923 +[2025-03-11 01:54:46,957 INFO hook.py line 689 2389709] dresser : 0.2956 0.3698 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] stool : 0.3849 0.5861 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] plant : 0.6886 0.9232 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] ceiling : 0.9183 0.9605 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] bathtub : 0.8622 0.8976 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] end table : 0.0868 0.2249 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] keyboard : 0.3754 0.5469 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] bag : 0.0689 0.0730 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] backpack : 0.5755 0.6413 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] toilet paper : 0.4374 0.5983 +[2025-03-11 01:54:46,958 INFO hook.py line 689 2389709] printer : 0.3360 0.6035 +[2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] tv stand : 0.5118 0.8773 +[2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] whiteboard : 0.4516 0.6005 +[2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] blanket : 0.0032 0.0033 +[2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] shower curtain : 0.6540 0.7230 +[2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] trash can : 0.6039 0.8444 +[2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] closet : 0.0343 0.0382 +[2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] stairs : 0.5807 0.6558 +[2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] microwave : 0.4633 0.5679 +[2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] stove : 0.5508 0.6675 +[2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] shoe : 0.3985 0.5350 +[2025-03-11 01:54:46,959 INFO hook.py line 689 2389709] computer tower : 0.5246 0.7508 +[2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] bottle : 0.1103 0.1676 +[2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] ottoman : 0.1378 0.2404 +[2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] bench : 0.1529 0.1835 +[2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] board : 0.1037 0.1882 +[2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] washing machine: 0.6284 0.7342 +[2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] mirror : 0.3132 0.3608 +[2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] copier : 0.5626 0.9033 +[2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] sofa chair : 0.0000 0.0000 +[2025-03-11 01:54:46,960 INFO hook.py line 689 2389709] file cabinet : 0.3615 0.6286 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] fan : 0.2843 0.3725 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] laptop : 0.2744 0.3700 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] shower : 0.3506 0.4452 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] paper : 0.0612 0.0951 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] person : 0.0938 0.1912 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] paper towel dispenser: 0.4693 0.6501 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] oven : 0.0287 0.0369 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] blackboard : 0.5617 0.6090 +[2025-03-11 01:54:46,961 INFO hook.py line 689 2389709] piano : 0.0000 0.0000 +[2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] suitcase : 0.3725 0.5657 +[2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] rail : 0.0055 0.0055 +[2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] radiator : 0.5462 0.6353 +[2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] recycling bin : 0.4721 0.5092 +[2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] wardrobe : 0.0862 0.2737 +[2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] soap dispenser : 0.6144 0.9014 +[2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] telephone : 0.2038 0.4318 +[2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] bucket : 0.2171 0.2729 +[2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] clock : 0.1959 0.2680 +[2025-03-11 01:54:46,962 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] light : 0.0301 0.0549 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] pipe : 0.0759 0.2004 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] clothes dryer : 0.4705 0.4718 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] guitar : 0.0637 0.1491 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] ladder : 0.4092 0.5696 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] bathroom stall : 0.2648 0.2871 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] shower wall : 0.4812 0.5653 +[2025-03-11 01:54:46,967 INFO hook.py line 689 2389709] cup : 0.1247 0.5182 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] jacket : 0.1882 0.3162 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] storage bin : 0.0007 0.0007 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] coffee maker : 0.8033 0.9442 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] dishwasher : 0.0133 0.0155 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] paper towel roll: 0.1135 0.2180 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] mat : 0.0635 0.0653 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] windowsill : 0.2464 0.3695 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] bar : 0.0601 0.1761 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] bulletin board : 0.1163 0.1228 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] fireplace : 0.4402 0.4580 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] soap dish : 0.1989 0.6284 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] kitchen counter: 0.4446 0.5248 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] doorframe : 0.3277 0.5222 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] toilet paper dispenser: 0.1793 0.2036 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] mini fridge : 0.1682 0.3610 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] fire extinguisher: 0.0119 0.0186 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] ball : 0.0700 0.9425 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] shower curtain rod: 0.4543 0.6685 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] water cooler : 0.4024 0.4796 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] paper cutter : 0.1426 0.1638 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] tray : 0.0078 0.0112 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] shower door : 0.0823 0.1054 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] pillar : 0.0136 0.0143 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] ledge : 0.0046 0.0049 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] toaster oven : 0.0520 0.0521 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] mouse : 0.0197 0.4163 +[2025-03-11 01:54:46,968 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4919 0.5806 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] cart : 0.2356 0.5442 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] scale : 0.0859 0.1286 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] tissue box : 0.1150 0.1935 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] light switch : 0.0058 0.0432 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] decoration : 0.2701 0.3457 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] sign : 0.0277 0.1098 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] closet door : 0.0391 0.0428 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] vacuum cleaner : 0.5247 0.7400 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] plunger : 0.2216 0.9427 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] dish rack : 0.1504 0.1876 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] range hood : 0.4189 0.4340 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] dustpan : 0.0038 0.0038 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:54:46,969 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] handicap bar : 0.0563 0.8179 +[2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] shower floor : 0.3243 0.3243 +[2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] mailbox : 0.4304 0.4576 +[2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] bowl : 0.1294 0.1626 +[2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] paper bag : 0.0238 0.0464 +[2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:54:46,970 INFO hook.py line 689 2389709] projector screen: 0.0004 0.0006 +[2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] divider : 0.3796 0.4829 +[2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] bathroom counter: 0.2411 0.3628 +[2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] object : 0.0432 0.1174 +[2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] bathroom vanity: 0.4754 0.7125 +[2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] closet wall : 0.0838 0.0998 +[2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] laundry hamper : 0.0680 0.0788 +[2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] bathroom stall door: 0.5018 0.8218 +[2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] ceiling light : 0.2792 0.3366 +[2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] trash bin : 0.1105 0.1288 +[2025-03-11 01:54:46,971 INFO hook.py line 689 2389709] dumbbell : 0.0681 0.9716 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] stair rail : 0.0110 0.0115 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] tube : 0.0048 0.0099 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] bathroom cabinet: 0.3217 0.4513 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] closet rod : 0.3852 0.9008 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] coffee kettle : 0.0625 0.0684 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] shower head : 0.2942 0.3787 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] case of water bottles: 0.0225 0.0230 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:54:46,972 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:54:46,973 INFO hook.py line 689 2389709] mattress : 0.0527 0.0608 +[2025-03-11 01:54:46,973 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:54:46,974 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2346/0.3305/0.7918. +[2025-03-11 01:54:46,974 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:54:47,003 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2470 +[2025-03-11 01:54:47,004 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:55:17,001 INFO hook.py line 566 2389709] Train: [15/100][50/300] Data 0.002 (0.002) Batch 0.524 (0.495) Remain 03:32:33 loss: 1.0927 Lr: 4.88594e-03 +[2025-03-11 01:55:41,486 INFO hook.py line 566 2389709] Train: [15/100][100/300] Data 0.003 (0.002) Batch 0.581 (0.492) Remain 03:30:54 loss: 0.9621 Lr: 4.88179e-03 +[2025-03-11 01:56:06,094 INFO hook.py line 566 2389709] Train: [15/100][150/300] Data 0.003 (0.002) Batch 0.486 (0.492) Remain 03:30:28 loss: 0.9797 Lr: 4.87757e-03 +[2025-03-11 01:56:30,903 INFO hook.py line 566 2389709] Train: [15/100][200/300] Data 0.002 (0.002) Batch 0.441 (0.493) Remain 03:30:28 loss: 1.1064 Lr: 4.87327e-03 +[2025-03-11 01:56:55,793 INFO hook.py line 566 2389709] Train: [15/100][250/300] Data 0.002 (0.002) Batch 0.437 (0.494) Remain 03:30:27 loss: 0.9888 Lr: 4.86891e-03 +[2025-03-11 01:57:19,615 INFO hook.py line 566 2389709] Train: [15/100][300/300] Data 0.001 (0.002) Batch 0.484 (0.491) Remain 03:28:46 loss: 1.0299 Lr: 4.86447e-03 +[2025-03-11 01:57:19,615 INFO misc.py line 135 2389709] Train result: loss: 1.0801 +[2025-03-11 01:57:19,716 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 01:58:15,506 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5279 +[2025-03-11 01:58:15,562 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.0669 +[2025-03-11 01:58:15,599 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6645 +[2025-03-11 01:58:15,651 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6347 +[2025-03-11 01:58:15,693 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.2868 +[2025-03-11 01:58:15,750 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7903 +[2025-03-11 01:58:15,802 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9488 +[2025-03-11 01:58:15,833 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6260 +[2025-03-11 01:58:15,879 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2172 +[2025-03-11 01:58:15,918 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.5026 +[2025-03-11 01:58:15,965 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2566 +[2025-03-11 01:58:16,003 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.5366 +[2025-03-11 01:58:16,055 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2224 +[2025-03-11 01:58:16,099 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9340 +[2025-03-11 01:58:16,139 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4473 +[2025-03-11 01:58:16,188 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4957 +[2025-03-11 01:58:16,226 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2027 +[2025-03-11 01:58:16,281 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0619 +[2025-03-11 01:58:16,323 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4747 +[2025-03-11 01:58:16,362 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5087 +[2025-03-11 01:58:16,400 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6718 +[2025-03-11 01:58:16,442 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7584 +[2025-03-11 01:58:16,479 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7105 +[2025-03-11 01:58:16,535 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9481 +[2025-03-11 01:58:16,577 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8687 +[2025-03-11 01:58:16,622 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.9743 +[2025-03-11 01:58:16,676 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8757 +[2025-03-11 01:58:16,725 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7542 +[2025-03-11 01:58:16,760 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9837 +[2025-03-11 01:58:16,818 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3066 +[2025-03-11 01:58:16,876 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6659 +[2025-03-11 01:58:16,910 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2592 +[2025-03-11 01:58:16,973 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.3312 +[2025-03-11 01:58:17,012 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.5598 +[2025-03-11 01:58:17,054 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2612 +[2025-03-11 01:58:17,093 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2877 +[2025-03-11 01:58:17,135 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3624 +[2025-03-11 01:58:17,174 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7072 +[2025-03-11 01:58:17,245 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.3764 +[2025-03-11 01:58:17,302 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3718 +[2025-03-11 01:58:17,353 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5491 +[2025-03-11 01:58:17,386 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5088 +[2025-03-11 01:58:17,446 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.4324 +[2025-03-11 01:58:17,507 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.1499 +[2025-03-11 01:58:17,547 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3434 +[2025-03-11 01:58:17,598 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.8463 +[2025-03-11 01:58:17,637 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0390 +[2025-03-11 01:58:17,675 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2641 +[2025-03-11 01:58:17,710 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5214 +[2025-03-11 01:58:17,747 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7568 +[2025-03-11 01:58:17,777 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.7141 +[2025-03-11 01:58:17,817 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7499 +[2025-03-11 01:58:17,845 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3662 +[2025-03-11 01:58:17,884 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6120 +[2025-03-11 01:58:17,926 INFO hook.py line 748 2389709] Test: [55/78] Loss 0.8367 +[2025-03-11 01:58:17,967 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3660 +[2025-03-11 01:58:18,005 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8768 +[2025-03-11 01:58:18,034 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1669 +[2025-03-11 01:58:18,076 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7468 +[2025-03-11 01:58:18,113 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7063 +[2025-03-11 01:58:18,140 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0235 +[2025-03-11 01:58:18,175 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0627 +[2025-03-11 01:58:18,217 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3368 +[2025-03-11 01:58:18,274 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.1252 +[2025-03-11 01:58:18,303 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.6930 +[2025-03-11 01:58:18,349 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7641 +[2025-03-11 01:58:18,389 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2270 +[2025-03-11 01:58:18,427 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7887 +[2025-03-11 01:58:18,462 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3880 +[2025-03-11 01:58:18,533 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7064 +[2025-03-11 01:58:18,577 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6898 +[2025-03-11 01:58:18,632 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7100 +[2025-03-11 01:58:18,686 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6265 +[2025-03-11 01:58:18,733 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.3285 +[2025-03-11 01:58:18,787 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6901 +[2025-03-11 01:58:18,819 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6749 +[2025-03-11 01:58:18,878 INFO hook.py line 748 2389709] Test: [77/78] Loss 1.1081 +[2025-03-11 01:58:18,905 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9337 +[2025-03-11 01:58:20,239 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 01:58:20,239 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 01:58:20,239 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] wall : 0.7574 0.8455 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] chair : 0.7601 0.9000 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] floor : 0.9549 0.9808 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] table : 0.5859 0.6604 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] door : 0.6048 0.7818 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] couch : 0.7738 0.8490 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] cabinet : 0.2250 0.3364 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] shelf : 0.3741 0.5496 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] desk : 0.4617 0.8566 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] office chair : 0.0145 0.0149 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] bed : 0.7508 0.8510 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] pillow : 0.5098 0.6871 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] sink : 0.6005 0.7340 +[2025-03-11 01:58:20,240 INFO hook.py line 689 2389709] picture : 0.3046 0.5355 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] window : 0.5140 0.6406 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] toilet : 0.8884 0.9506 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] bookshelf : 0.4021 0.4810 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] monitor : 0.8125 0.9363 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] curtain : 0.5315 0.5423 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] book : 0.3728 0.8141 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] armchair : 0.4296 0.6280 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] coffee table : 0.6698 0.8404 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] box : 0.2349 0.5471 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] refrigerator : 0.4645 0.8251 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] lamp : 0.6267 0.6774 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] kitchen cabinet: 0.5528 0.8332 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] towel : 0.4525 0.5503 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] clothes : 0.0947 0.1960 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] tv : 0.7398 0.8480 +[2025-03-11 01:58:20,241 INFO hook.py line 689 2389709] nightstand : 0.6536 0.8175 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] counter : 0.1289 0.1666 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] dresser : 0.3169 0.6369 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] stool : 0.4199 0.5065 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] plant : 0.7072 0.7632 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] ceiling : 0.9217 0.9590 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] bathtub : 0.8496 0.9159 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] end table : 0.1865 0.2859 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] keyboard : 0.2738 0.6101 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] bag : 0.1531 0.2226 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] backpack : 0.5825 0.6688 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] toilet paper : 0.3891 0.4353 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] printer : 0.2204 0.6893 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] tv stand : 0.6422 0.7517 +[2025-03-11 01:58:20,242 INFO hook.py line 689 2389709] whiteboard : 0.3842 0.4247 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] blanket : 0.0002 0.0002 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] shower curtain : 0.5570 0.7054 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] trash can : 0.5709 0.8222 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] closet : 0.0754 0.2093 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] stairs : 0.4990 0.6608 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] microwave : 0.2731 0.7999 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] stove : 0.4878 0.8032 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] shoe : 0.3616 0.5886 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] computer tower : 0.4817 0.5237 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] bottle : 0.0683 0.1760 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] ottoman : 0.3863 0.5644 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] bench : 0.5048 0.5716 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] board : 0.1507 0.3607 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] washing machine: 0.6233 0.8718 +[2025-03-11 01:58:20,243 INFO hook.py line 689 2389709] mirror : 0.2283 0.5928 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] copier : 0.6821 0.9409 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] sofa chair : 0.1116 0.2691 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] file cabinet : 0.3756 0.5552 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] fan : 0.1391 0.1617 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] laptop : 0.2712 0.5887 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] shower : 0.1777 0.2226 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] paper : 0.0508 0.2888 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] person : 0.1714 0.2621 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] paper towel dispenser: 0.4484 0.6752 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] oven : 0.1157 0.1365 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] blinds : 0.0162 0.0182 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] blackboard : 0.5589 0.7030 +[2025-03-11 01:58:20,244 INFO hook.py line 689 2389709] piano : 0.4481 0.7341 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] suitcase : 0.5301 0.7361 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] rail : 0.0028 0.0028 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] radiator : 0.5606 0.6651 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] recycling bin : 0.3234 0.3400 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] container : 0.1593 0.2552 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] wardrobe : 0.1545 0.2034 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] soap dispenser : 0.6939 0.8409 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] telephone : 0.2131 0.4442 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] bucket : 0.1497 0.1795 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] clock : 0.1935 0.3221 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] stand : 0.0047 0.0692 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] light : 0.1873 0.3702 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] laundry basket : 0.0477 0.0508 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] pipe : 0.0444 0.0559 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] clothes dryer : 0.3708 0.3904 +[2025-03-11 01:58:20,245 INFO hook.py line 689 2389709] guitar : 0.5153 0.7242 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] column : 0.0220 0.1232 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] ladder : 0.3034 0.5818 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] bathroom stall : 0.4185 0.7091 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] shower wall : 0.4716 0.7302 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] cup : 0.0992 0.6443 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] jacket : 0.0914 0.1617 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] storage bin : 0.0381 0.0445 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] coffee maker : 0.1433 0.9317 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] dishwasher : 0.1458 0.2669 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] paper towel roll: 0.1907 0.6346 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] mat : 0.1149 0.1379 +[2025-03-11 01:58:20,246 INFO hook.py line 689 2389709] windowsill : 0.2163 0.2683 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] bar : 0.1203 0.1817 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] bulletin board : 0.2851 0.3827 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] fireplace : 0.4008 0.4259 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] soap dish : 0.2640 0.4822 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] kitchen counter: 0.4990 0.7802 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] doorframe : 0.3614 0.6158 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2639 0.3025 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] mini fridge : 0.2330 0.3820 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] fire extinguisher: 0.1099 0.1450 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] ball : 0.2576 0.9410 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] shower curtain rod: 0.3370 0.8665 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] water cooler : 0.1695 0.9286 +[2025-03-11 01:58:20,247 INFO hook.py line 689 2389709] paper cutter : 0.2215 0.2422 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] shower door : 0.0545 0.1251 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] pillar : 0.0447 0.0687 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] ledge : 0.0595 0.1162 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] toaster oven : 0.1794 0.1970 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] mouse : 0.0323 0.2368 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4540 0.7930 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] cart : 0.1524 0.1760 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] scale : 0.1159 0.8985 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] tissue box : 0.0907 0.1193 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] light switch : 0.0000 0.0000 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] decoration : 0.0199 0.0389 +[2025-03-11 01:58:20,248 INFO hook.py line 689 2389709] sign : 0.0590 0.0967 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] closet door : 0.1118 0.1260 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] vacuum cleaner : 0.6784 0.8952 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] plunger : 0.4112 0.9003 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] dish rack : 0.1065 0.7216 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] broom : 0.0099 0.0442 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] range hood : 0.5428 0.7397 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] dustpan : 0.0128 0.1863 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 01:58:20,249 INFO hook.py line 689 2389709] handicap bar : 0.0340 0.5044 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] shower floor : 0.3433 0.4204 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] water pitcher : 0.0599 0.9611 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] mailbox : 0.2347 0.2359 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] bowl : 0.0063 0.0094 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] paper bag : 0.0455 0.0677 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] projector screen: 0.0106 0.0111 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] divider : 0.4152 0.4946 +[2025-03-11 01:58:20,250 INFO hook.py line 689 2389709] laundry detergent: 0.1046 0.1439 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] bathroom counter: 0.1717 0.4165 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] object : 0.0280 0.0970 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] bathroom vanity: 0.4092 0.7870 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] closet wall : 0.1330 0.2769 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] laundry hamper : 0.0127 0.0152 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] bathroom stall door: 0.4741 0.7140 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] ceiling light : 0.3349 0.3824 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] trash bin : 0.2316 0.5265 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] dumbbell : 0.1563 0.9843 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] stair rail : 0.1163 0.1457 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] tube : 0.0367 0.0738 +[2025-03-11 01:58:20,251 INFO hook.py line 689 2389709] bathroom cabinet: 0.2664 0.5204 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] closet rod : 0.5166 0.7114 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] shower head : 0.2098 0.3881 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] case of water bottles: 0.0572 0.0617 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 01:58:20,252 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 01:58:20,253 INFO hook.py line 689 2389709] potted plant : 0.0814 0.0998 +[2025-03-11 01:58:20,253 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 01:58:20,253 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 01:58:20,253 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 01:58:20,253 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2434/0.3782/0.7796. +[2025-03-11 01:58:20,253 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 01:58:20,267 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2470 +[2025-03-11 01:58:20,267 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 01:58:50,609 INFO hook.py line 566 2389709] Train: [16/100][50/300] Data 0.002 (0.002) Batch 0.485 (0.497) Remain 03:30:43 loss: 1.4325 Lr: 4.85996e-03 +[2025-03-11 01:59:14,729 INFO hook.py line 566 2389709] Train: [16/100][100/300] Data 0.002 (0.002) Batch 0.444 (0.489) Remain 03:27:09 loss: 0.8283 Lr: 4.85537e-03 +[2025-03-11 01:59:38,901 INFO hook.py line 566 2389709] Train: [16/100][150/300] Data 0.003 (0.002) Batch 0.516 (0.487) Remain 03:25:54 loss: 1.3164 Lr: 4.85072e-03 +[2025-03-11 02:00:03,173 INFO hook.py line 566 2389709] Train: [16/100][200/300] Data 0.003 (0.002) Batch 0.461 (0.487) Remain 03:25:17 loss: 1.3276 Lr: 4.84599e-03 +[2025-03-11 02:00:28,580 INFO hook.py line 566 2389709] Train: [16/100][250/300] Data 0.003 (0.002) Batch 0.586 (0.491) Remain 03:26:42 loss: 0.9246 Lr: 4.84120e-03 +[2025-03-11 02:00:52,715 INFO hook.py line 566 2389709] Train: [16/100][300/300] Data 0.002 (0.002) Batch 0.449 (0.490) Remain 03:25:41 loss: 1.3052 Lr: 4.83633e-03 +[2025-03-11 02:00:52,716 INFO misc.py line 135 2389709] Train result: loss: 1.0498 +[2025-03-11 02:00:52,811 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:01:47,448 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5947 +[2025-03-11 02:01:47,534 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6777 +[2025-03-11 02:01:47,582 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7563 +[2025-03-11 02:01:47,634 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5088 +[2025-03-11 02:01:47,673 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8533 +[2025-03-11 02:01:47,731 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8267 +[2025-03-11 02:01:47,783 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8680 +[2025-03-11 02:01:47,834 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3740 +[2025-03-11 02:01:47,891 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4307 +[2025-03-11 02:01:47,930 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2573 +[2025-03-11 02:01:47,976 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1527 +[2025-03-11 02:01:48,013 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2042 +[2025-03-11 02:01:48,062 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4277 +[2025-03-11 02:01:48,120 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.1907 +[2025-03-11 02:01:48,161 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3991 +[2025-03-11 02:01:48,228 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4629 +[2025-03-11 02:01:48,272 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1444 +[2025-03-11 02:01:48,315 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1683 +[2025-03-11 02:01:48,362 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4214 +[2025-03-11 02:01:48,401 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6622 +[2025-03-11 02:01:48,440 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8478 +[2025-03-11 02:01:48,486 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8145 +[2025-03-11 02:01:48,519 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6796 +[2025-03-11 02:01:48,575 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8853 +[2025-03-11 02:01:48,619 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8928 +[2025-03-11 02:01:48,672 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2558 +[2025-03-11 02:01:48,729 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5320 +[2025-03-11 02:01:48,770 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6045 +[2025-03-11 02:01:48,805 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1731 +[2025-03-11 02:01:48,862 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6653 +[2025-03-11 02:01:48,922 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6327 +[2025-03-11 02:01:48,963 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1525 +[2025-03-11 02:01:49,025 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.6556 +[2025-03-11 02:01:49,068 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.0958 +[2025-03-11 02:01:49,108 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0055 +[2025-03-11 02:01:49,149 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2275 +[2025-03-11 02:01:49,189 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0280 +[2025-03-11 02:01:49,220 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8811 +[2025-03-11 02:01:49,288 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5582 +[2025-03-11 02:01:49,340 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5824 +[2025-03-11 02:01:49,387 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2527 +[2025-03-11 02:01:49,428 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4628 +[2025-03-11 02:01:49,466 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1800 +[2025-03-11 02:01:49,528 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8559 +[2025-03-11 02:01:49,567 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5635 +[2025-03-11 02:01:49,619 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1413 +[2025-03-11 02:01:49,658 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8145 +[2025-03-11 02:01:49,696 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0806 +[2025-03-11 02:01:49,731 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2712 +[2025-03-11 02:01:49,768 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.3390 +[2025-03-11 02:01:49,803 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0282 +[2025-03-11 02:01:49,843 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4599 +[2025-03-11 02:01:49,874 INFO hook.py line 748 2389709] Test: [53/78] Loss 0.8709 +[2025-03-11 02:01:49,914 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5543 +[2025-03-11 02:01:49,955 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4313 +[2025-03-11 02:01:49,997 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.6574 +[2025-03-11 02:01:50,035 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9697 +[2025-03-11 02:01:50,064 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2184 +[2025-03-11 02:01:50,106 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8936 +[2025-03-11 02:01:50,147 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5832 +[2025-03-11 02:01:50,182 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9116 +[2025-03-11 02:01:50,222 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8903 +[2025-03-11 02:01:50,263 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0582 +[2025-03-11 02:01:50,321 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6112 +[2025-03-11 02:01:50,353 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5366 +[2025-03-11 02:01:50,400 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6151 +[2025-03-11 02:01:50,442 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0262 +[2025-03-11 02:01:50,483 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.4099 +[2025-03-11 02:01:50,518 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3708 +[2025-03-11 02:01:50,583 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0994 +[2025-03-11 02:01:50,626 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.2645 +[2025-03-11 02:01:50,683 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3919 +[2025-03-11 02:01:50,740 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6868 +[2025-03-11 02:01:50,787 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.1781 +[2025-03-11 02:01:50,842 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6849 +[2025-03-11 02:01:50,874 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6513 +[2025-03-11 02:01:50,936 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6434 +[2025-03-11 02:01:50,967 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9515 +[2025-03-11 02:01:52,187 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:01:52,187 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:01:52,187 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] wall : 0.7805 0.9069 +[2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] chair : 0.7505 0.8774 +[2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] floor : 0.9558 0.9839 +[2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] table : 0.6148 0.7551 +[2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] door : 0.6360 0.7660 +[2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] couch : 0.6972 0.9050 +[2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] cabinet : 0.3178 0.4609 +[2025-03-11 02:01:52,187 INFO hook.py line 689 2389709] shelf : 0.4054 0.5603 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] desk : 0.5034 0.7493 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] office chair : 0.0023 0.0023 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] bed : 0.5998 0.6204 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] pillow : 0.4908 0.6357 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] sink : 0.5955 0.7356 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] picture : 0.3318 0.3895 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] window : 0.5452 0.7905 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] toilet : 0.9363 0.9673 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] bookshelf : 0.4637 0.6308 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] monitor : 0.8297 0.8949 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] curtain : 0.6106 0.8382 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] book : 0.3928 0.7611 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] armchair : 0.3324 0.3881 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] coffee table : 0.7276 0.8820 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] box : 0.2613 0.3511 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] refrigerator : 0.6314 0.7745 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] lamp : 0.5690 0.6010 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] kitchen cabinet: 0.6467 0.8058 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] towel : 0.3807 0.5360 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] clothes : 0.1231 0.3519 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] tv : 0.7944 0.9473 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] nightstand : 0.6048 0.7808 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] counter : 0.2276 0.4131 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] dresser : 0.2636 0.3037 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] stool : 0.4122 0.6431 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] plant : 0.6974 0.8624 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] ceiling : 0.9176 0.9473 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] bathtub : 0.8515 0.8957 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] end table : 0.1389 0.2271 +[2025-03-11 02:01:52,188 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] keyboard : 0.4024 0.5581 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] bag : 0.2283 0.3620 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] backpack : 0.5228 0.7931 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] toilet paper : 0.4536 0.5418 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] printer : 0.3272 0.4248 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] tv stand : 0.5445 0.8805 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] whiteboard : 0.4639 0.5686 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] blanket : 0.0828 0.1399 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] shower curtain : 0.5185 0.7090 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] trash can : 0.5652 0.6733 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] closet : 0.0007 0.0008 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] stairs : 0.4765 0.6895 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] microwave : 0.4355 0.7164 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] stove : 0.5855 0.7707 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] shoe : 0.4678 0.6622 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] computer tower : 0.5067 0.7913 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] bottle : 0.1265 0.1933 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] ottoman : 0.3508 0.7795 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] bench : 0.2825 0.3103 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] board : 0.0946 0.1329 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] washing machine: 0.7562 0.9244 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] mirror : 0.3299 0.3860 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] copier : 0.7180 0.8179 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] sofa chair : 0.1390 0.3423 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] file cabinet : 0.4076 0.6643 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] fan : 0.1343 0.1528 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] laptop : 0.4519 0.6889 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] shower : 0.2257 0.2641 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] paper : 0.0163 0.0305 +[2025-03-11 02:01:52,189 INFO hook.py line 689 2389709] person : 0.0426 0.1240 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] paper towel dispenser: 0.5977 0.6955 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] oven : 0.1579 0.2389 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] blackboard : 0.6095 0.6551 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] piano : 0.4212 0.5360 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] suitcase : 0.3744 0.4593 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] rail : 0.0279 0.0295 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] radiator : 0.5053 0.7263 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] recycling bin : 0.2966 0.7202 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] wardrobe : 0.1157 0.1497 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] soap dispenser : 0.8442 0.8883 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] telephone : 0.2168 0.3516 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] bucket : 0.1525 0.5245 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] clock : 0.1787 0.2085 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] light : 0.0156 0.0171 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] laundry basket : 0.0212 0.0254 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] pipe : 0.1460 0.2242 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] clothes dryer : 0.7249 0.7413 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] guitar : 0.1631 0.1635 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] seat : 0.0063 0.0074 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] ladder : 0.1867 0.1887 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] bathroom stall : 0.3082 0.3371 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] shower wall : 0.5202 0.6590 +[2025-03-11 02:01:52,190 INFO hook.py line 689 2389709] cup : 0.1115 0.6528 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] jacket : 0.1826 0.2185 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] storage bin : 0.0250 0.0493 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] coffee maker : 0.3314 0.9854 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] dishwasher : 0.1081 0.1597 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] paper towel roll: 0.2516 0.3534 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] mat : 0.1306 0.1460 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] windowsill : 0.1731 0.2074 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] bar : 0.1226 0.1846 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] toaster : 0.0141 0.0152 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] bulletin board : 0.2575 0.5367 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] ironing board : 0.0015 0.0021 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] fireplace : 0.4804 0.4910 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] soap dish : 0.3111 0.4141 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] kitchen counter: 0.4760 0.6015 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] doorframe : 0.3183 0.5761 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2888 0.4091 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] mini fridge : 0.1712 0.3061 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] fire extinguisher: 0.0982 0.1689 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] ball : 0.3301 0.4213 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] shower curtain rod: 0.2697 0.8074 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] water cooler : 0.2372 0.5650 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] paper cutter : 0.1951 0.2434 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] shower door : 0.0370 0.1070 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] pillar : 0.0137 0.0138 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] ledge : 0.0380 0.0539 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] toaster oven : 0.1261 0.1429 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] mouse : 0.0326 0.5304 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5721 0.6604 +[2025-03-11 02:01:52,191 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] cart : 0.1295 0.1499 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] scale : 0.1741 0.8604 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] tissue box : 0.1193 0.1995 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] light switch : 0.0144 0.0552 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] decoration : 0.2873 0.3590 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] closet door : 0.0166 0.0168 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] vacuum cleaner : 0.5151 0.5631 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] plunger : 0.4712 0.9175 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] dish rack : 0.2292 0.6107 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] broom : 0.0027 0.0029 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] range hood : 0.6264 0.6584 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] dustpan : 0.0837 0.1388 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] handicap bar : 0.0788 0.8567 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] shower floor : 0.4822 0.9278 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] mailbox : 0.2164 0.2166 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] bowl : 0.0017 0.0031 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] paper bag : 0.0446 0.1166 +[2025-03-11 02:01:52,192 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] projector screen: 0.0005 0.0005 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] divider : 0.4521 0.5276 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] laundry detergent: 0.2332 0.2547 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] bathroom counter: 0.2559 0.3082 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] object : 0.0481 0.1175 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] bathroom vanity: 0.4424 0.8555 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] closet wall : 0.0962 0.1366 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] laundry hamper : 0.1368 0.2263 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] bathroom stall door: 0.5225 0.8010 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] ceiling light : 0.2774 0.4966 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] trash bin : 0.4072 0.5640 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] dumbbell : 0.5977 0.9626 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] stair rail : 0.0755 0.0908 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] tube : 0.0502 0.0825 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] bathroom cabinet: 0.0442 0.0467 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] closet rod : 0.4933 0.9304 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] coffee kettle : 0.0608 0.0810 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] shower head : 0.3065 0.3344 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] case of water bottles: 0.1122 0.1136 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:01:52,193 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:01:52,194 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:01:52,194 INFO hook.py line 689 2389709] mattress : 0.0100 0.0100 +[2025-03-11 02:01:52,194 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:01:52,194 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2555/0.3610/0.7998. +[2025-03-11 02:01:52,194 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:01:52,211 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2555 +[2025-03-11 02:01:52,211 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2555 +[2025-03-11 02:01:52,211 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:02:22,753 INFO hook.py line 566 2389709] Train: [17/100][50/300] Data 0.002 (0.002) Batch 0.540 (0.491) Remain 03:25:39 loss: 0.7728 Lr: 4.83139e-03 +[2025-03-11 02:02:47,305 INFO hook.py line 566 2389709] Train: [17/100][100/300] Data 0.002 (0.002) Batch 0.471 (0.491) Remain 03:25:19 loss: 1.1577 Lr: 4.82638e-03 +[2025-03-11 02:03:11,864 INFO hook.py line 566 2389709] Train: [17/100][150/300] Data 0.003 (0.002) Batch 0.523 (0.491) Remain 03:24:58 loss: 0.9897 Lr: 4.82130e-03 +[2025-03-11 02:03:36,348 INFO hook.py line 566 2389709] Train: [17/100][200/300] Data 0.002 (0.002) Batch 0.447 (0.491) Remain 03:24:25 loss: 0.9612 Lr: 4.81615e-03 +[2025-03-11 02:04:00,803 INFO hook.py line 566 2389709] Train: [17/100][250/300] Data 0.002 (0.002) Batch 0.505 (0.490) Remain 03:23:53 loss: 1.0172 Lr: 4.81093e-03 +[2025-03-11 02:04:24,870 INFO hook.py line 566 2389709] Train: [17/100][300/300] Data 0.002 (0.002) Batch 0.547 (0.489) Remain 03:22:51 loss: 0.8904 Lr: 4.80564e-03 +[2025-03-11 02:04:24,870 INFO misc.py line 135 2389709] Train result: loss: 1.0463 +[2025-03-11 02:04:24,969 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:05:14,574 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5232 +[2025-03-11 02:05:14,672 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2401 +[2025-03-11 02:05:14,715 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7530 +[2025-03-11 02:05:14,767 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5308 +[2025-03-11 02:05:14,807 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9129 +[2025-03-11 02:05:14,862 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7575 +[2025-03-11 02:05:14,918 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9514 +[2025-03-11 02:05:14,953 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3858 +[2025-03-11 02:05:15,000 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.6000 +[2025-03-11 02:05:15,038 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4063 +[2025-03-11 02:05:15,087 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0709 +[2025-03-11 02:05:15,128 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8720 +[2025-03-11 02:05:15,179 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5384 +[2025-03-11 02:05:15,222 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.4747 +[2025-03-11 02:05:15,262 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1140 +[2025-03-11 02:05:15,309 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4693 +[2025-03-11 02:05:15,350 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.9322 +[2025-03-11 02:05:15,390 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1376 +[2025-03-11 02:05:15,444 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1889 +[2025-03-11 02:05:15,482 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4948 +[2025-03-11 02:05:15,521 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6892 +[2025-03-11 02:05:15,562 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5946 +[2025-03-11 02:05:15,598 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2278 +[2025-03-11 02:05:15,655 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8035 +[2025-03-11 02:05:15,701 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6925 +[2025-03-11 02:05:15,743 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3410 +[2025-03-11 02:05:15,801 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.3631 +[2025-03-11 02:05:15,842 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7119 +[2025-03-11 02:05:15,881 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9168 +[2025-03-11 02:05:15,942 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.9865 +[2025-03-11 02:05:16,001 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6867 +[2025-03-11 02:05:16,040 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2774 +[2025-03-11 02:05:16,101 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8075 +[2025-03-11 02:05:16,140 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.7943 +[2025-03-11 02:05:16,187 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2194 +[2025-03-11 02:05:16,226 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3456 +[2025-03-11 02:05:16,269 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.3484 +[2025-03-11 02:05:16,301 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7522 +[2025-03-11 02:05:16,371 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7911 +[2025-03-11 02:05:16,418 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.9008 +[2025-03-11 02:05:16,467 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3147 +[2025-03-11 02:05:16,500 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5261 +[2025-03-11 02:05:16,537 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2588 +[2025-03-11 02:05:16,597 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0506 +[2025-03-11 02:05:16,633 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5507 +[2025-03-11 02:05:16,680 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9657 +[2025-03-11 02:05:16,721 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7276 +[2025-03-11 02:05:16,754 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0228 +[2025-03-11 02:05:16,789 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3797 +[2025-03-11 02:05:16,823 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9402 +[2025-03-11 02:05:16,855 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0554 +[2025-03-11 02:05:16,889 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7086 +[2025-03-11 02:05:16,925 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1831 +[2025-03-11 02:05:16,967 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5366 +[2025-03-11 02:05:17,006 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0982 +[2025-03-11 02:05:17,051 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8025 +[2025-03-11 02:05:17,085 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.4409 +[2025-03-11 02:05:17,115 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2883 +[2025-03-11 02:05:17,153 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7627 +[2025-03-11 02:05:17,189 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5770 +[2025-03-11 02:05:17,217 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9448 +[2025-03-11 02:05:17,253 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9370 +[2025-03-11 02:05:17,290 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0345 +[2025-03-11 02:05:17,350 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6848 +[2025-03-11 02:05:17,377 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0953 +[2025-03-11 02:05:17,425 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4007 +[2025-03-11 02:05:17,464 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.4198 +[2025-03-11 02:05:17,502 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9175 +[2025-03-11 02:05:17,537 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3028 +[2025-03-11 02:05:17,602 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0061 +[2025-03-11 02:05:17,645 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9512 +[2025-03-11 02:05:17,701 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4038 +[2025-03-11 02:05:17,755 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.4639 +[2025-03-11 02:05:17,802 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.4113 +[2025-03-11 02:05:17,857 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6959 +[2025-03-11 02:05:17,889 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8094 +[2025-03-11 02:05:17,948 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5996 +[2025-03-11 02:05:17,975 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8290 +[2025-03-11 02:05:19,287 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:05:19,287 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:05:19,287 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] wall : 0.7657 0.9345 +[2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] chair : 0.6875 0.7452 +[2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] floor : 0.9561 0.9772 +[2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] table : 0.6385 0.7309 +[2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] door : 0.5936 0.6635 +[2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] couch : 0.7816 0.8444 +[2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] cabinet : 0.2783 0.5415 +[2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] shelf : 0.3855 0.5258 +[2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] desk : 0.5502 0.7793 +[2025-03-11 02:05:19,288 INFO hook.py line 689 2389709] office chair : 0.2937 0.6440 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] bed : 0.7514 0.8050 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] pillow : 0.4929 0.7804 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] sink : 0.6078 0.7783 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] picture : 0.3315 0.4109 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] window : 0.5600 0.7085 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] toilet : 0.9056 0.9584 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] bookshelf : 0.4357 0.4979 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] monitor : 0.8152 0.8566 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] curtain : 0.6854 0.8071 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] book : 0.4033 0.7669 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] armchair : 0.4794 0.7481 +[2025-03-11 02:05:19,289 INFO hook.py line 689 2389709] coffee table : 0.6406 0.8829 +[2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] box : 0.2298 0.3645 +[2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] refrigerator : 0.6040 0.6713 +[2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] lamp : 0.6249 0.6787 +[2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] kitchen cabinet: 0.5073 0.5531 +[2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] towel : 0.4761 0.5525 +[2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] clothes : 0.2288 0.4540 +[2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] tv : 0.8362 0.8834 +[2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] nightstand : 0.6635 0.8584 +[2025-03-11 02:05:19,290 INFO hook.py line 689 2389709] counter : 0.2452 0.4515 +[2025-03-11 02:05:19,293 INFO hook.py line 689 2389709] dresser : 0.3531 0.4726 +[2025-03-11 02:05:19,293 INFO hook.py line 689 2389709] stool : 0.4706 0.6971 +[2025-03-11 02:05:19,293 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] plant : 0.5542 0.8853 +[2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] ceiling : 0.9094 0.9572 +[2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] bathtub : 0.8793 0.9201 +[2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] end table : 0.1351 0.2633 +[2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] dining table : 0.0147 0.0149 +[2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] keyboard : 0.3785 0.4286 +[2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] bag : 0.1933 0.3094 +[2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] backpack : 0.5591 0.7114 +[2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] toilet paper : 0.4658 0.5511 +[2025-03-11 02:05:19,294 INFO hook.py line 689 2389709] printer : 0.2463 0.6464 +[2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] tv stand : 0.5935 0.9310 +[2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] whiteboard : 0.4556 0.5910 +[2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] blanket : 0.0368 0.0515 +[2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] shower curtain : 0.6622 0.7462 +[2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] trash can : 0.5849 0.8199 +[2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] closet : 0.0391 0.0463 +[2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] stairs : 0.4203 0.6942 +[2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] microwave : 0.4263 0.6663 +[2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] stove : 0.6448 0.8292 +[2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] shoe : 0.3733 0.4727 +[2025-03-11 02:05:19,295 INFO hook.py line 689 2389709] computer tower : 0.5197 0.7499 +[2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] bottle : 0.1211 0.1627 +[2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] bin : 0.0105 0.0135 +[2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] ottoman : 0.4094 0.7173 +[2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] bench : 0.3624 0.4186 +[2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] board : 0.1298 0.1873 +[2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] washing machine: 0.7498 0.7996 +[2025-03-11 02:05:19,296 INFO hook.py line 689 2389709] mirror : 0.3462 0.4016 +[2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] copier : 0.7805 0.9295 +[2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] sofa chair : 0.1121 0.2051 +[2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] file cabinet : 0.4691 0.6832 +[2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] fan : 0.2430 0.2490 +[2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] laptop : 0.4422 0.5580 +[2025-03-11 02:05:19,297 INFO hook.py line 689 2389709] shower : 0.1409 0.1509 +[2025-03-11 02:05:19,304 INFO hook.py line 689 2389709] paper : 0.0808 0.2658 +[2025-03-11 02:05:19,304 INFO hook.py line 689 2389709] person : 0.1961 0.2204 +[2025-03-11 02:05:19,304 INFO hook.py line 689 2389709] paper towel dispenser: 0.4809 0.6579 +[2025-03-11 02:05:19,304 INFO hook.py line 689 2389709] oven : 0.0507 0.0567 +[2025-03-11 02:05:19,305 INFO hook.py line 689 2389709] blinds : 0.0013 0.0013 +[2025-03-11 02:05:19,305 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:05:19,305 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:05:19,305 INFO hook.py line 689 2389709] blackboard : 0.5403 0.6428 +[2025-03-11 02:05:19,305 INFO hook.py line 689 2389709] piano : 0.4171 0.4968 +[2025-03-11 02:05:19,306 INFO hook.py line 689 2389709] suitcase : 0.4932 0.7684 +[2025-03-11 02:05:19,306 INFO hook.py line 689 2389709] rail : 0.0065 0.0065 +[2025-03-11 02:05:19,307 INFO hook.py line 689 2389709] radiator : 0.5345 0.6649 +[2025-03-11 02:05:19,307 INFO hook.py line 689 2389709] recycling bin : 0.3425 0.3651 +[2025-03-11 02:05:19,307 INFO hook.py line 689 2389709] container : 0.0045 0.0075 +[2025-03-11 02:05:19,307 INFO hook.py line 689 2389709] wardrobe : 0.1803 0.2803 +[2025-03-11 02:05:19,307 INFO hook.py line 689 2389709] soap dispenser : 0.6493 0.8836 +[2025-03-11 02:05:19,308 INFO hook.py line 689 2389709] telephone : 0.1955 0.2129 +[2025-03-11 02:05:19,308 INFO hook.py line 689 2389709] bucket : 0.2401 0.6198 +[2025-03-11 02:05:19,308 INFO hook.py line 689 2389709] clock : 0.1778 0.3051 +[2025-03-11 02:05:19,308 INFO hook.py line 689 2389709] stand : 0.0001 0.0019 +[2025-03-11 02:05:19,308 INFO hook.py line 689 2389709] light : 0.0425 0.0524 +[2025-03-11 02:05:19,309 INFO hook.py line 689 2389709] laundry basket : 0.0327 0.0376 +[2025-03-11 02:05:19,309 INFO hook.py line 689 2389709] pipe : 0.0740 0.2304 +[2025-03-11 02:05:19,309 INFO hook.py line 689 2389709] clothes dryer : 0.5087 0.5962 +[2025-03-11 02:05:19,309 INFO hook.py line 689 2389709] guitar : 0.4787 0.8319 +[2025-03-11 02:05:19,309 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] seat : 0.0154 0.0221 +[2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] column : 0.1479 0.3299 +[2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] ladder : 0.4208 0.5807 +[2025-03-11 02:05:19,310 INFO hook.py line 689 2389709] bathroom stall : 0.2281 0.2399 +[2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] shower wall : 0.4819 0.6267 +[2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] cup : 0.1508 0.3694 +[2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] jacket : 0.2099 0.2312 +[2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] storage bin : 0.0448 0.1341 +[2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] coffee maker : 0.4046 0.9858 +[2025-03-11 02:05:19,311 INFO hook.py line 689 2389709] dishwasher : 0.0769 0.0973 +[2025-03-11 02:05:19,312 INFO hook.py line 689 2389709] paper towel roll: 0.1660 0.1902 +[2025-03-11 02:05:19,312 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:05:19,312 INFO hook.py line 689 2389709] mat : 0.0417 0.0497 +[2025-03-11 02:05:19,312 INFO hook.py line 689 2389709] windowsill : 0.2035 0.2713 +[2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] bar : 0.1205 0.1738 +[2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] bulletin board : 0.2841 0.5157 +[2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] ironing board : 0.0065 0.0129 +[2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] fireplace : 0.1251 0.1274 +[2025-03-11 02:05:19,313 INFO hook.py line 689 2389709] soap dish : 0.3359 0.4513 +[2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] kitchen counter: 0.5017 0.6704 +[2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] doorframe : 0.3705 0.5354 +[2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2111 0.2271 +[2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] mini fridge : 0.2963 0.4564 +[2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] ball : 0.4506 0.8856 +[2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] shower curtain rod: 0.3440 0.7791 +[2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] water cooler : 0.3648 0.6736 +[2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] paper cutter : 0.1751 0.2599 +[2025-03-11 02:05:19,314 INFO hook.py line 689 2389709] tray : 0.0000 0.0002 +[2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] shower door : 0.1196 0.1758 +[2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] pillar : 0.0782 0.0897 +[2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] ledge : 0.0378 0.0469 +[2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] toaster oven : 0.1596 0.1843 +[2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] mouse : 0.0596 0.4298 +[2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5012 0.6791 +[2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] cart : 0.1770 0.2070 +[2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] scale : 0.1525 0.9357 +[2025-03-11 02:05:19,315 INFO hook.py line 689 2389709] tissue box : 0.0692 0.0857 +[2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] light switch : 0.0589 0.1393 +[2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] crate : 0.0018 0.0049 +[2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] decoration : 0.1581 0.2639 +[2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] sign : 0.0204 0.0251 +[2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] projector : 0.0238 0.4372 +[2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] closet door : 0.0027 0.0029 +[2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] vacuum cleaner : 0.6516 0.6968 +[2025-03-11 02:05:19,316 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] plunger : 0.2740 0.9811 +[2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] dish rack : 0.3016 0.8302 +[2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 +[2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] range hood : 0.7523 0.8218 +[2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] dustpan : 0.0630 0.1701 +[2025-03-11 02:05:19,317 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] handicap bar : 0.0410 0.3790 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] shower floor : 0.5149 0.7185 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] mailbox : 0.3486 0.3672 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] bowl : 0.0823 0.1371 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] paper bag : 0.0379 0.0979 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:05:19,318 INFO hook.py line 689 2389709] projector screen: 0.0040 0.0043 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] divider : 0.4203 0.4939 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] laundry detergent: 0.0250 0.0285 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] bathroom counter: 0.1536 0.1763 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] object : 0.0458 0.0896 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] bathroom vanity: 0.4613 0.8562 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] closet wall : 0.1127 0.1606 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] laundry hamper : 0.0003 0.0005 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] bathroom stall door: 0.4676 0.5999 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] ceiling light : 0.1897 0.2449 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] trash bin : 0.4229 0.5454 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] dumbbell : 0.8037 0.9654 +[2025-03-11 02:05:19,319 INFO hook.py line 689 2389709] stair rail : 0.0266 0.0279 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] tube : 0.0578 0.1897 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] bathroom cabinet: 0.0563 0.0586 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] closet rod : 0.3381 0.8901 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] shower head : 0.2620 0.3185 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] case of water bottles: 0.0808 0.0848 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] coat rack : 0.0363 0.2916 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:05:19,320 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:05:19,321 INFO hook.py line 689 2389709] mattress : 0.0140 0.0140 +[2025-03-11 02:05:19,321 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:05:19,321 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2613/0.3692/0.7971. +[2025-03-11 02:05:19,322 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:05:19,335 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2613 +[2025-03-11 02:05:19,336 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2613 +[2025-03-11 02:05:19,336 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:05:50,106 INFO hook.py line 566 2389709] Train: [18/100][50/300] Data 0.003 (0.002) Batch 0.524 (0.491) Remain 03:23:18 loss: 1.1109 Lr: 4.80028e-03 +[2025-03-11 02:06:14,940 INFO hook.py line 566 2389709] Train: [18/100][100/300] Data 0.001 (0.002) Batch 0.533 (0.494) Remain 03:24:08 loss: 1.0811 Lr: 4.79484e-03 +[2025-03-11 02:06:39,604 INFO hook.py line 566 2389709] Train: [18/100][150/300] Data 0.003 (0.002) Batch 0.429 (0.494) Remain 03:23:38 loss: 0.9795 Lr: 4.78934e-03 +[2025-03-11 02:07:04,076 INFO hook.py line 566 2389709] Train: [18/100][200/300] Data 0.003 (0.002) Batch 0.460 (0.493) Remain 03:22:47 loss: 0.9479 Lr: 4.78377e-03 +[2025-03-11 02:07:28,702 INFO hook.py line 566 2389709] Train: [18/100][250/300] Data 0.002 (0.002) Batch 0.454 (0.493) Remain 03:22:22 loss: 1.1346 Lr: 4.77813e-03 +[2025-03-11 02:07:53,014 INFO hook.py line 566 2389709] Train: [18/100][300/300] Data 0.002 (0.002) Batch 0.488 (0.492) Remain 03:21:31 loss: 0.7536 Lr: 4.77242e-03 +[2025-03-11 02:07:53,015 INFO misc.py line 135 2389709] Train result: loss: 1.0278 +[2025-03-11 02:07:53,114 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:08:45,842 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5707 +[2025-03-11 02:08:45,887 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3147 +[2025-03-11 02:08:45,928 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8751 +[2025-03-11 02:08:45,990 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4908 +[2025-03-11 02:08:46,030 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7439 +[2025-03-11 02:08:46,092 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9230 +[2025-03-11 02:08:46,153 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8304 +[2025-03-11 02:08:46,186 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4051 +[2025-03-11 02:08:46,233 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3888 +[2025-03-11 02:08:46,270 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3978 +[2025-03-11 02:08:46,320 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1816 +[2025-03-11 02:08:46,366 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0916 +[2025-03-11 02:08:46,415 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5222 +[2025-03-11 02:08:46,458 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.1159 +[2025-03-11 02:08:46,494 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.6865 +[2025-03-11 02:08:46,549 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.6767 +[2025-03-11 02:08:46,590 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.7870 +[2025-03-11 02:08:46,625 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7903 +[2025-03-11 02:08:46,676 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4079 +[2025-03-11 02:08:46,715 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3459 +[2025-03-11 02:08:46,752 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7479 +[2025-03-11 02:08:46,804 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9697 +[2025-03-11 02:08:46,837 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4365 +[2025-03-11 02:08:46,897 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0167 +[2025-03-11 02:08:46,939 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4301 +[2025-03-11 02:08:46,981 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2577 +[2025-03-11 02:08:47,035 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6911 +[2025-03-11 02:08:47,070 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7778 +[2025-03-11 02:08:47,098 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8195 +[2025-03-11 02:08:47,153 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3117 +[2025-03-11 02:08:47,211 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7120 +[2025-03-11 02:08:47,259 INFO hook.py line 748 2389709] Test: [32/78] Loss 2.0517 +[2025-03-11 02:08:47,317 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.3992 +[2025-03-11 02:08:47,356 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5962 +[2025-03-11 02:08:47,392 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2937 +[2025-03-11 02:08:47,431 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4468 +[2025-03-11 02:08:47,472 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3136 +[2025-03-11 02:08:47,513 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7735 +[2025-03-11 02:08:47,594 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0211 +[2025-03-11 02:08:47,641 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2741 +[2025-03-11 02:08:47,691 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1165 +[2025-03-11 02:08:47,719 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5227 +[2025-03-11 02:08:47,754 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.5160 +[2025-03-11 02:08:47,813 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0276 +[2025-03-11 02:08:47,848 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2627 +[2025-03-11 02:08:47,897 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9464 +[2025-03-11 02:08:47,940 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9030 +[2025-03-11 02:08:47,974 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2429 +[2025-03-11 02:08:48,006 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3909 +[2025-03-11 02:08:48,038 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9434 +[2025-03-11 02:08:48,072 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9622 +[2025-03-11 02:08:48,109 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.3044 +[2025-03-11 02:08:48,140 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4680 +[2025-03-11 02:08:48,176 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.2418 +[2025-03-11 02:08:48,214 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2399 +[2025-03-11 02:08:48,255 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.4860 +[2025-03-11 02:08:48,289 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.3508 +[2025-03-11 02:08:48,315 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2798 +[2025-03-11 02:08:48,357 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0166 +[2025-03-11 02:08:48,398 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6847 +[2025-03-11 02:08:48,428 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9950 +[2025-03-11 02:08:48,470 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.2461 +[2025-03-11 02:08:48,506 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.8888 +[2025-03-11 02:08:48,564 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8446 +[2025-03-11 02:08:48,596 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1525 +[2025-03-11 02:08:48,639 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4045 +[2025-03-11 02:08:48,678 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8648 +[2025-03-11 02:08:48,719 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0052 +[2025-03-11 02:08:48,753 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.5051 +[2025-03-11 02:08:48,814 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1440 +[2025-03-11 02:08:48,858 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4887 +[2025-03-11 02:08:48,916 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3901 +[2025-03-11 02:08:48,974 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6516 +[2025-03-11 02:08:49,017 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.5933 +[2025-03-11 02:08:49,068 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4330 +[2025-03-11 02:08:49,097 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7260 +[2025-03-11 02:08:49,160 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6658 +[2025-03-11 02:08:49,187 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.6094 +[2025-03-11 02:08:50,406 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:08:50,406 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:08:50,407 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] wall : 0.7648 0.8690 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] chair : 0.6705 0.7242 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] floor : 0.9551 0.9798 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] table : 0.6013 0.8031 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] door : 0.5788 0.6744 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] couch : 0.7231 0.8239 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] cabinet : 0.2743 0.3552 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] shelf : 0.4209 0.8196 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] desk : 0.4514 0.5519 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] office chair : 0.3167 0.7414 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] bed : 0.5530 0.9120 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] pillow : 0.4734 0.7121 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] sink : 0.6227 0.7264 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] picture : 0.3274 0.5020 +[2025-03-11 02:08:50,407 INFO hook.py line 689 2389709] window : 0.4867 0.7608 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] toilet : 0.8940 0.9512 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] bookshelf : 0.3541 0.3834 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] monitor : 0.8300 0.9113 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] curtain : 0.6340 0.7860 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] book : 0.3980 0.7211 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] armchair : 0.5341 0.8685 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] coffee table : 0.5646 0.7078 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] box : 0.3166 0.5159 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] refrigerator : 0.6619 0.7314 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] lamp : 0.6592 0.7525 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] kitchen cabinet: 0.6512 0.8057 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] towel : 0.4805 0.5936 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] clothes : 0.2307 0.4014 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] tv : 0.7311 0.7633 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] nightstand : 0.6112 0.7302 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] counter : 0.3037 0.3965 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] dresser : 0.3544 0.4952 +[2025-03-11 02:08:50,408 INFO hook.py line 689 2389709] stool : 0.5188 0.6038 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] plant : 0.6969 0.8730 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] ceiling : 0.9235 0.9774 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] bathtub : 0.8443 0.9074 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] end table : 0.0454 0.0470 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] dining table : 0.0017 0.0017 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] keyboard : 0.4007 0.5192 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] bag : 0.1769 0.2216 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] backpack : 0.5751 0.6428 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] toilet paper : 0.4141 0.5481 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] printer : 0.3698 0.6727 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] tv stand : 0.4427 0.8610 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] whiteboard : 0.4999 0.6193 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] blanket : 0.0189 0.0374 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] shower curtain : 0.5631 0.6269 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] trash can : 0.6263 0.7454 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] closet : 0.0083 0.0086 +[2025-03-11 02:08:50,409 INFO hook.py line 689 2389709] stairs : 0.3643 0.6881 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] microwave : 0.3733 0.7623 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] stove : 0.4182 0.9127 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] shoe : 0.3135 0.3412 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] computer tower : 0.5707 0.7209 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] bottle : 0.1103 0.4041 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] bin : 0.0344 0.1188 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] ottoman : 0.1202 0.1242 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] bench : 0.3566 0.4558 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] board : 0.1115 0.1865 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] washing machine: 0.3715 0.3775 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] mirror : 0.3398 0.4698 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] copier : 0.7223 0.9504 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] basket : 0.0033 0.0063 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] sofa chair : 0.0020 0.0020 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] file cabinet : 0.4938 0.6158 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] fan : 0.3905 0.4896 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] laptop : 0.4441 0.5855 +[2025-03-11 02:08:50,410 INFO hook.py line 689 2389709] shower : 0.2622 0.4221 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] paper : 0.0458 0.0954 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] person : 0.1925 0.3615 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] paper towel dispenser: 0.4731 0.5450 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] oven : 0.0445 0.1109 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] blinds : 0.0185 0.0207 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] blackboard : 0.5379 0.6278 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] piano : 0.1877 0.6276 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] suitcase : 0.4721 0.7176 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] rail : 0.0161 0.0167 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] radiator : 0.5556 0.7087 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] recycling bin : 0.5026 0.6144 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] container : 0.0059 0.0116 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] wardrobe : 0.0577 0.0600 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] soap dispenser : 0.7654 0.8730 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] telephone : 0.2813 0.3850 +[2025-03-11 02:08:50,411 INFO hook.py line 689 2389709] bucket : 0.2975 0.5102 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] clock : 0.2409 0.2647 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] light : 0.0402 0.0507 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] laundry basket : 0.0232 0.0307 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] pipe : 0.1097 0.1309 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] clothes dryer : 0.4863 0.7411 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] guitar : 0.5014 0.8270 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] column : 0.1067 0.5000 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] ladder : 0.3766 0.4100 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] bathroom stall : 0.4430 0.7481 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] shower wall : 0.4961 0.6735 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] cup : 0.2493 0.3919 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] jacket : 0.1110 0.1274 +[2025-03-11 02:08:50,412 INFO hook.py line 689 2389709] storage bin : 0.0050 0.0066 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] coffee maker : 0.6600 0.9902 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] dishwasher : 0.0891 0.1180 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] paper towel roll: 0.3689 0.4545 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] mat : 0.0868 0.1050 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] windowsill : 0.1915 0.2222 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] bar : 0.1125 0.2635 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] bulletin board : 0.1623 0.2149 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] ironing board : 0.1193 0.1260 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] fireplace : 0.4135 0.7550 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] soap dish : 0.3080 0.4483 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] kitchen counter: 0.4983 0.5844 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] doorframe : 0.3432 0.4414 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4608 0.7821 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] mini fridge : 0.1518 0.1560 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 02:08:50,413 INFO hook.py line 689 2389709] ball : 0.2045 0.9462 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] shower curtain rod: 0.3542 0.8311 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] water cooler : 0.5343 0.7039 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] paper cutter : 0.1482 0.1547 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] shower door : 0.0596 0.1109 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] pillar : 0.0086 0.0087 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] ledge : 0.0591 0.0633 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] toaster oven : 0.0945 0.0975 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] mouse : 0.0206 0.2511 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7386 0.8497 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] cart : 0.1770 0.2821 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] scale : 0.2210 0.8562 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] tissue box : 0.0591 0.0697 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] light switch : 0.0953 0.1938 +[2025-03-11 02:08:50,414 INFO hook.py line 689 2389709] crate : 0.0013 0.0046 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] decoration : 0.1666 0.5750 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] sign : 0.0051 0.0059 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] projector : 0.0053 0.0302 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] closet door : 0.0005 0.0005 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] vacuum cleaner : 0.8384 0.9792 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] plunger : 0.3574 0.9199 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] dish rack : 0.4080 0.8327 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] broom : 0.0149 0.0225 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:08:50,416 INFO hook.py line 689 2389709] range hood : 0.6916 0.9033 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] dustpan : 0.0676 0.1541 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] handicap bar : 0.0357 0.5656 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] shower floor : 0.9393 0.9845 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] water pitcher : 0.0032 0.0140 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] mailbox : 0.3641 0.3963 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] bowl : 0.0074 0.0102 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] paper bag : 0.0000 0.0000 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] projector screen: 0.0154 0.0165 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] divider : 0.3991 0.6155 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] laundry detergent: 0.2158 0.2514 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] bathroom counter: 0.2638 0.4490 +[2025-03-11 02:08:50,417 INFO hook.py line 689 2389709] object : 0.0392 0.0752 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] bathroom vanity: 0.4356 0.6589 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] closet wall : 0.2023 0.3990 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] laundry hamper : 0.1407 0.1940 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] bathroom stall door: 0.4313 0.5850 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] ceiling light : 0.2037 0.2354 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] trash bin : 0.2753 0.4522 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] dumbbell : 0.0779 0.9717 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] stair rail : 0.2062 0.4020 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] tube : 0.0825 0.1039 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] bathroom cabinet: 0.2862 0.5827 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] closet rod : 0.3953 0.8966 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] shower head : 0.1640 0.2568 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] keyboard piano : 0.0005 0.0006 +[2025-03-11 02:08:50,418 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] coat rack : 0.2534 0.3541 +[2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:08:50,419 INFO hook.py line 689 2389709] mattress : 0.0005 0.0005 +[2025-03-11 02:08:50,419 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:08:50,419 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2637/0.3809/0.7872. +[2025-03-11 02:08:50,420 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:08:50,432 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2637 +[2025-03-11 02:08:50,432 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2637 +[2025-03-11 02:08:50,433 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:09:20,755 INFO hook.py line 566 2389709] Train: [19/100][50/300] Data 0.002 (0.002) Batch 0.480 (0.494) Remain 03:22:13 loss: 0.8695 Lr: 4.76665e-03 +[2025-03-11 02:09:45,138 INFO hook.py line 566 2389709] Train: [19/100][100/300] Data 0.002 (0.002) Batch 0.451 (0.491) Remain 03:20:25 loss: 0.7466 Lr: 4.76080e-03 +[2025-03-11 02:10:09,669 INFO hook.py line 566 2389709] Train: [19/100][150/300] Data 0.002 (0.002) Batch 0.490 (0.491) Remain 03:19:59 loss: 0.9649 Lr: 4.75488e-03 +[2025-03-11 02:10:34,010 INFO hook.py line 566 2389709] Train: [19/100][200/300] Data 0.002 (0.002) Batch 0.537 (0.490) Remain 03:19:10 loss: 1.0166 Lr: 4.74890e-03 +[2025-03-11 02:10:58,721 INFO hook.py line 566 2389709] Train: [19/100][250/300] Data 0.002 (0.002) Batch 0.458 (0.491) Remain 03:19:07 loss: 0.9013 Lr: 4.74285e-03 +[2025-03-11 02:11:22,575 INFO hook.py line 566 2389709] Train: [19/100][300/300] Data 0.002 (0.002) Batch 0.447 (0.488) Remain 03:17:47 loss: 1.0738 Lr: 4.73673e-03 +[2025-03-11 02:11:22,575 INFO misc.py line 135 2389709] Train result: loss: 1.0074 +[2025-03-11 02:11:22,660 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:12:18,715 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4552 +[2025-03-11 02:12:18,760 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.7828 +[2025-03-11 02:12:18,798 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7252 +[2025-03-11 02:12:18,850 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5939 +[2025-03-11 02:12:18,884 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8611 +[2025-03-11 02:12:18,942 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.6478 +[2025-03-11 02:12:19,000 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8022 +[2025-03-11 02:12:19,036 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1216 +[2025-03-11 02:12:19,085 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3894 +[2025-03-11 02:12:19,125 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1868 +[2025-03-11 02:12:19,174 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3977 +[2025-03-11 02:12:19,214 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8586 +[2025-03-11 02:12:19,263 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.8895 +[2025-03-11 02:12:19,307 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.0740 +[2025-03-11 02:12:19,347 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0612 +[2025-03-11 02:12:19,397 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.5659 +[2025-03-11 02:12:19,436 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.9923 +[2025-03-11 02:12:19,473 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9550 +[2025-03-11 02:12:19,519 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3193 +[2025-03-11 02:12:19,556 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4962 +[2025-03-11 02:12:19,593 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6863 +[2025-03-11 02:12:19,636 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8142 +[2025-03-11 02:12:19,679 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6412 +[2025-03-11 02:12:19,736 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0506 +[2025-03-11 02:12:19,779 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3869 +[2025-03-11 02:12:19,831 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4227 +[2025-03-11 02:12:19,893 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6468 +[2025-03-11 02:12:19,936 INFO hook.py line 748 2389709] Test: [28/78] Loss 1.0434 +[2025-03-11 02:12:19,977 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0131 +[2025-03-11 02:12:20,035 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8475 +[2025-03-11 02:12:20,094 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7206 +[2025-03-11 02:12:20,129 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4713 +[2025-03-11 02:12:20,187 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7390 +[2025-03-11 02:12:20,226 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.4245 +[2025-03-11 02:12:20,263 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0914 +[2025-03-11 02:12:20,305 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.1973 +[2025-03-11 02:12:20,348 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2911 +[2025-03-11 02:12:20,378 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8243 +[2025-03-11 02:12:20,448 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2182 +[2025-03-11 02:12:20,494 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.9724 +[2025-03-11 02:12:20,551 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4381 +[2025-03-11 02:12:20,579 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4997 +[2025-03-11 02:12:20,618 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1128 +[2025-03-11 02:12:20,675 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0400 +[2025-03-11 02:12:20,711 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7356 +[2025-03-11 02:12:20,762 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9500 +[2025-03-11 02:12:20,805 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0505 +[2025-03-11 02:12:20,841 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2132 +[2025-03-11 02:12:20,877 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8594 +[2025-03-11 02:12:20,914 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4799 +[2025-03-11 02:12:20,948 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8914 +[2025-03-11 02:12:20,985 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5350 +[2025-03-11 02:12:21,017 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1607 +[2025-03-11 02:12:21,057 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2705 +[2025-03-11 02:12:21,099 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3970 +[2025-03-11 02:12:21,141 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8874 +[2025-03-11 02:12:21,179 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7100 +[2025-03-11 02:12:21,208 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.3370 +[2025-03-11 02:12:21,250 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7162 +[2025-03-11 02:12:21,291 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6629 +[2025-03-11 02:12:21,321 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0871 +[2025-03-11 02:12:21,361 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1696 +[2025-03-11 02:12:21,400 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0901 +[2025-03-11 02:12:21,457 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7781 +[2025-03-11 02:12:21,489 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5243 +[2025-03-11 02:12:21,532 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5692 +[2025-03-11 02:12:21,571 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0187 +[2025-03-11 02:12:21,612 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7866 +[2025-03-11 02:12:21,645 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4276 +[2025-03-11 02:12:21,706 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2051 +[2025-03-11 02:12:21,750 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7338 +[2025-03-11 02:12:21,807 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7026 +[2025-03-11 02:12:21,864 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5071 +[2025-03-11 02:12:21,908 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8760 +[2025-03-11 02:12:21,959 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4775 +[2025-03-11 02:12:21,987 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2397 +[2025-03-11 02:12:22,050 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7383 +[2025-03-11 02:12:22,078 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.5400 +[2025-03-11 02:12:23,330 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:12:23,330 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:12:23,330 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:12:23,330 INFO hook.py line 689 2389709] wall : 0.7623 0.9241 +[2025-03-11 02:12:23,330 INFO hook.py line 689 2389709] chair : 0.6062 0.6518 +[2025-03-11 02:12:23,330 INFO hook.py line 689 2389709] floor : 0.9513 0.9825 +[2025-03-11 02:12:23,330 INFO hook.py line 689 2389709] table : 0.6122 0.7638 +[2025-03-11 02:12:23,330 INFO hook.py line 689 2389709] door : 0.6217 0.7255 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] couch : 0.6093 0.9600 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] cabinet : 0.2847 0.4427 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] shelf : 0.3726 0.5179 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] desk : 0.4906 0.7756 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] office chair : 0.2821 0.8287 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] bed : 0.6399 0.9010 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] pillow : 0.4618 0.6321 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] sink : 0.5856 0.7896 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] picture : 0.3239 0.4674 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] window : 0.3945 0.4327 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] toilet : 0.8840 0.9406 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] bookshelf : 0.3641 0.4188 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] monitor : 0.8106 0.8639 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] curtain : 0.6505 0.8439 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] book : 0.3410 0.8232 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] armchair : 0.4895 0.6885 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] coffee table : 0.5830 0.6592 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] box : 0.3157 0.4613 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] refrigerator : 0.6574 0.6900 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] lamp : 0.5794 0.6293 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] kitchen cabinet: 0.6599 0.8161 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] towel : 0.3318 0.6447 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] clothes : 0.1428 0.4491 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] tv : 0.7421 0.7601 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] nightstand : 0.6286 0.7200 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] counter : 0.2701 0.4185 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] dresser : 0.2837 0.3553 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] stool : 0.4497 0.5358 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] plant : 0.7616 0.7965 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] ceiling : 0.9178 0.9545 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] bathtub : 0.8557 0.9169 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] end table : 0.1723 0.2355 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] dining table : 0.0142 0.0161 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] keyboard : 0.2889 0.6356 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] bag : 0.1289 0.1449 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] backpack : 0.5879 0.6776 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] toilet paper : 0.4238 0.5542 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] printer : 0.3894 0.6785 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] tv stand : 0.4880 0.8968 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] whiteboard : 0.4130 0.4885 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] blanket : 0.0163 0.0191 +[2025-03-11 02:12:23,331 INFO hook.py line 689 2389709] shower curtain : 0.5620 0.6146 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] trash can : 0.5827 0.6608 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] closet : 0.0439 0.0467 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] stairs : 0.4815 0.5214 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] microwave : 0.5210 0.7112 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] stove : 0.3277 0.8349 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] shoe : 0.4263 0.7615 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] computer tower : 0.4025 0.7284 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] bottle : 0.1055 0.4387 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] ottoman : 0.1167 0.1399 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] bench : 0.3373 0.4481 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] board : 0.1075 0.3138 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] washing machine: 0.1393 0.1433 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] mirror : 0.3178 0.4026 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] copier : 0.7616 0.9135 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] sofa chair : 0.0123 0.0131 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] file cabinet : 0.4143 0.5876 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] fan : 0.3408 0.4006 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] laptop : 0.3632 0.5611 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] shower : 0.0069 0.0070 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] paper : 0.0261 0.0368 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] person : 0.0984 0.3112 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] paper towel dispenser: 0.4296 0.6569 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] blinds : 0.0182 0.0211 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] blackboard : 0.5791 0.6235 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] piano : 0.0093 0.0111 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] suitcase : 0.3912 0.4994 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] rail : 0.0021 0.0021 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] radiator : 0.4870 0.6640 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] recycling bin : 0.4547 0.6530 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] wardrobe : 0.1735 0.2328 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] soap dispenser : 0.7236 0.8213 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] telephone : 0.2683 0.5218 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] bucket : 0.1820 0.7309 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] clock : 0.2012 0.3250 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] light : 0.1537 0.1895 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] laundry basket : 0.0012 0.0013 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] pipe : 0.0757 0.0919 +[2025-03-11 02:12:23,332 INFO hook.py line 689 2389709] clothes dryer : 0.1819 0.2211 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] guitar : 0.1131 0.1729 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] column : 0.1076 0.2567 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] ladder : 0.4379 0.5575 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] bathroom stall : 0.3554 0.4200 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] shower wall : 0.5051 0.6345 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] cup : 0.1386 0.5900 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] jacket : 0.1417 0.2354 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] coffee maker : 0.7204 0.9723 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] dishwasher : 0.1322 0.1555 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] paper towel roll: 0.2377 0.3670 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] mat : 0.1741 0.2387 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] windowsill : 0.2318 0.3097 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] bar : 0.1283 0.1719 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] toaster : 0.2849 0.4906 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] bulletin board : 0.2293 0.3957 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] ironing board : 0.0410 0.0489 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] fireplace : 0.0970 0.0978 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] soap dish : 0.3239 0.5108 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] kitchen counter: 0.5800 0.7920 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] doorframe : 0.3583 0.6212 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2647 0.3341 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] mini fridge : 0.1410 0.1496 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] fire extinguisher: 0.0419 0.0979 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] ball : 0.3250 0.9528 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] shower curtain rod: 0.3016 0.8053 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] water cooler : 0.4715 0.9506 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] paper cutter : 0.3584 0.3843 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] shower door : 0.0641 0.1142 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] pillar : 0.0069 0.0079 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] ledge : 0.0124 0.0168 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] toaster oven : 0.0169 0.0170 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] mouse : 0.0335 0.3408 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.1847 0.2091 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] cart : 0.2067 0.2467 +[2025-03-11 02:12:23,333 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] scale : 0.1517 0.7578 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] tissue box : 0.1288 0.1573 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] light switch : 0.0333 0.3730 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] decoration : 0.0851 0.1041 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] sign : 0.0685 0.0979 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] projector : 0.0447 1.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] closet door : 0.0984 0.1453 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] vacuum cleaner : 0.3597 0.3630 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] plunger : 0.6718 0.9619 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] dish rack : 0.4612 0.6553 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] broom : 0.0111 0.0167 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] range hood : 0.7685 0.8535 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] dustpan : 0.0364 0.1853 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] handicap bar : 0.0542 0.7775 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] shower floor : 0.8665 0.9249 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] mailbox : 0.2326 0.2376 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] bowl : 0.0015 0.0031 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] paper bag : 0.0910 0.2070 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] projector screen: 0.0003 0.0003 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] divider : 0.4315 0.5402 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] laundry detergent: 0.0492 0.0515 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] bathroom counter: 0.2275 0.3089 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] object : 0.0374 0.0815 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] bathroom vanity: 0.4165 0.6151 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] closet wall : 0.0828 0.0980 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] laundry hamper : 0.0165 0.0234 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] bathroom stall door: 0.5746 0.6843 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] ceiling light : 0.4213 0.6813 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] trash bin : 0.5292 0.7078 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] dumbbell : 0.2292 0.9749 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] stair rail : 0.0130 0.0154 +[2025-03-11 02:12:23,334 INFO hook.py line 689 2389709] tube : 0.0252 0.0588 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] bathroom cabinet: 0.1089 0.1161 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] closet rod : 0.2841 0.8558 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] shower head : 0.1815 0.1913 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] case of water bottles: 0.2895 0.2904 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] potted plant : 0.1499 0.4457 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:12:23,335 INFO hook.py line 689 2389709] mattress : 0.0067 0.0071 +[2025-03-11 02:12:23,335 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:12:23,335 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2474/0.3631/0.7794. +[2025-03-11 02:12:23,335 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:12:23,353 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2637 +[2025-03-11 02:12:23,353 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:12:54,211 INFO hook.py line 566 2389709] Train: [20/100][50/300] Data 0.001 (0.002) Batch 0.464 (0.493) Remain 03:19:21 loss: 0.8822 Lr: 4.73054e-03 +[2025-03-11 02:13:18,467 INFO hook.py line 566 2389709] Train: [20/100][100/300] Data 0.002 (0.002) Batch 0.472 (0.489) Remain 03:17:15 loss: 0.9304 Lr: 4.72428e-03 +[2025-03-11 02:13:43,409 INFO hook.py line 566 2389709] Train: [20/100][150/300] Data 0.002 (0.002) Batch 0.494 (0.492) Remain 03:18:11 loss: 1.0202 Lr: 4.71796e-03 +[2025-03-11 02:14:07,744 INFO hook.py line 566 2389709] Train: [20/100][200/300] Data 0.003 (0.002) Batch 0.499 (0.491) Remain 03:17:11 loss: 1.3124 Lr: 4.71157e-03 +[2025-03-11 02:14:32,863 INFO hook.py line 566 2389709] Train: [20/100][250/300] Data 0.002 (0.002) Batch 0.483 (0.493) Remain 03:17:42 loss: 0.7477 Lr: 4.70511e-03 +[2025-03-11 02:14:57,231 INFO hook.py line 566 2389709] Train: [20/100][300/300] Data 0.001 (0.002) Batch 0.480 (0.492) Remain 03:16:54 loss: 0.9278 Lr: 4.69858e-03 +[2025-03-11 02:14:57,232 INFO misc.py line 135 2389709] Train result: loss: 1.0025 +[2025-03-11 02:14:57,330 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:15:51,879 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4496 +[2025-03-11 02:15:51,995 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.0903 +[2025-03-11 02:15:52,032 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6203 +[2025-03-11 02:15:52,081 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6162 +[2025-03-11 02:15:52,114 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9938 +[2025-03-11 02:15:52,181 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2207 +[2025-03-11 02:15:52,244 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8679 +[2025-03-11 02:15:52,272 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3550 +[2025-03-11 02:15:52,320 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2002 +[2025-03-11 02:15:52,357 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3657 +[2025-03-11 02:15:52,407 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1405 +[2025-03-11 02:15:52,443 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0892 +[2025-03-11 02:15:52,494 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.8993 +[2025-03-11 02:15:52,540 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.8526 +[2025-03-11 02:15:52,580 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0756 +[2025-03-11 02:15:52,631 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.5789 +[2025-03-11 02:15:52,670 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2214 +[2025-03-11 02:15:52,703 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7732 +[2025-03-11 02:15:52,746 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3568 +[2025-03-11 02:15:52,782 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4404 +[2025-03-11 02:15:52,819 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7621 +[2025-03-11 02:15:52,860 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6899 +[2025-03-11 02:15:52,889 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7091 +[2025-03-11 02:15:52,943 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2046 +[2025-03-11 02:15:52,990 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8997 +[2025-03-11 02:15:53,033 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7941 +[2025-03-11 02:15:53,087 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6794 +[2025-03-11 02:15:53,133 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6602 +[2025-03-11 02:15:53,174 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2457 +[2025-03-11 02:15:53,232 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6657 +[2025-03-11 02:15:53,291 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6553 +[2025-03-11 02:15:53,329 INFO hook.py line 748 2389709] Test: [32/78] Loss 0.9871 +[2025-03-11 02:15:53,391 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7702 +[2025-03-11 02:15:53,439 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.9141 +[2025-03-11 02:15:53,480 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0850 +[2025-03-11 02:15:53,524 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5192 +[2025-03-11 02:15:53,562 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5801 +[2025-03-11 02:15:53,593 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7593 +[2025-03-11 02:15:53,662 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9744 +[2025-03-11 02:15:53,712 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5046 +[2025-03-11 02:15:53,770 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.6082 +[2025-03-11 02:15:53,809 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4829 +[2025-03-11 02:15:53,850 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3598 +[2025-03-11 02:15:53,909 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9344 +[2025-03-11 02:15:53,943 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3344 +[2025-03-11 02:15:54,000 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9196 +[2025-03-11 02:15:54,041 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.4775 +[2025-03-11 02:15:54,075 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1113 +[2025-03-11 02:15:54,120 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4466 +[2025-03-11 02:15:54,159 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0773 +[2025-03-11 02:15:54,190 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.5579 +[2025-03-11 02:15:54,225 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6751 +[2025-03-11 02:15:54,254 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3242 +[2025-03-11 02:15:54,295 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8121 +[2025-03-11 02:15:54,338 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5694 +[2025-03-11 02:15:54,383 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8589 +[2025-03-11 02:15:54,421 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6631 +[2025-03-11 02:15:54,452 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1137 +[2025-03-11 02:15:54,491 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9616 +[2025-03-11 02:15:54,527 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4745 +[2025-03-11 02:15:54,554 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9839 +[2025-03-11 02:15:54,590 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0894 +[2025-03-11 02:15:54,628 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1651 +[2025-03-11 02:15:54,687 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6781 +[2025-03-11 02:15:54,716 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4164 +[2025-03-11 02:15:54,760 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5107 +[2025-03-11 02:15:54,800 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9343 +[2025-03-11 02:15:54,835 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2959 +[2025-03-11 02:15:54,866 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2967 +[2025-03-11 02:15:54,928 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.6169 +[2025-03-11 02:15:54,974 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4920 +[2025-03-11 02:15:55,029 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6319 +[2025-03-11 02:15:55,083 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.4578 +[2025-03-11 02:15:55,129 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.9183 +[2025-03-11 02:15:55,181 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3285 +[2025-03-11 02:15:55,209 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8054 +[2025-03-11 02:15:55,268 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8272 +[2025-03-11 02:15:55,296 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0798 +[2025-03-11 02:15:56,553 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:15:56,553 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:15:56,553 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:15:56,553 INFO hook.py line 689 2389709] wall : 0.7483 0.9438 +[2025-03-11 02:15:56,554 INFO hook.py line 689 2389709] chair : 0.6761 0.7732 +[2025-03-11 02:15:56,554 INFO hook.py line 689 2389709] floor : 0.9553 0.9741 +[2025-03-11 02:15:56,554 INFO hook.py line 689 2389709] table : 0.6263 0.7768 +[2025-03-11 02:15:56,554 INFO hook.py line 689 2389709] door : 0.5817 0.6434 +[2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] couch : 0.7678 0.8597 +[2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] cabinet : 0.2813 0.3910 +[2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] shelf : 0.3627 0.4817 +[2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] desk : 0.5336 0.6964 +[2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] office chair : 0.2789 0.6472 +[2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] bed : 0.7540 0.8967 +[2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] pillow : 0.4677 0.7454 +[2025-03-11 02:15:56,555 INFO hook.py line 689 2389709] sink : 0.6288 0.7386 +[2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] picture : 0.3361 0.4145 +[2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] window : 0.5234 0.6879 +[2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] toilet : 0.9189 0.9353 +[2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] bookshelf : 0.4421 0.5634 +[2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] monitor : 0.7805 0.8248 +[2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] curtain : 0.6268 0.7089 +[2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] book : 0.3954 0.8301 +[2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] armchair : 0.5593 0.7848 +[2025-03-11 02:15:56,556 INFO hook.py line 689 2389709] coffee table : 0.6960 0.7770 +[2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] box : 0.3569 0.4922 +[2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] refrigerator : 0.6038 0.6351 +[2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] lamp : 0.6508 0.7561 +[2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] kitchen cabinet: 0.6991 0.7986 +[2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] towel : 0.4636 0.5838 +[2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] clothes : 0.1975 0.3402 +[2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] tv : 0.8363 0.8759 +[2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] nightstand : 0.4539 0.8175 +[2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] counter : 0.2588 0.3355 +[2025-03-11 02:15:56,557 INFO hook.py line 689 2389709] dresser : 0.2731 0.6958 +[2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] stool : 0.4103 0.4860 +[2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] plant : 0.7246 0.7934 +[2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] ceiling : 0.9180 0.9484 +[2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] bathtub : 0.8505 0.9172 +[2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] end table : 0.0852 0.1117 +[2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] keyboard : 0.3551 0.4095 +[2025-03-11 02:15:56,558 INFO hook.py line 689 2389709] bag : 0.3137 0.4156 +[2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] backpack : 0.5540 0.5953 +[2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] toilet paper : 0.4390 0.5310 +[2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] printer : 0.4661 0.5279 +[2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] tv stand : 0.5641 0.6530 +[2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] whiteboard : 0.4688 0.5405 +[2025-03-11 02:15:56,559 INFO hook.py line 689 2389709] blanket : 0.0119 0.0154 +[2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] shower curtain : 0.5735 0.6096 +[2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] trash can : 0.6089 0.7143 +[2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] closet : 0.0000 0.0000 +[2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] stairs : 0.4113 0.7783 +[2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] microwave : 0.4463 0.7591 +[2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] stove : 0.6548 0.8753 +[2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] shoe : 0.4755 0.6612 +[2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] computer tower : 0.5347 0.7473 +[2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] bottle : 0.1248 0.1742 +[2025-03-11 02:15:56,560 INFO hook.py line 689 2389709] bin : 0.0228 0.0288 +[2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] ottoman : 0.3389 0.3846 +[2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] bench : 0.4264 0.5352 +[2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] board : 0.0496 0.0568 +[2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] washing machine: 0.7738 0.8222 +[2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] mirror : 0.2992 0.5602 +[2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] copier : 0.7335 0.9139 +[2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] basket : 0.1695 0.2476 +[2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] sofa chair : 0.0575 0.0642 +[2025-03-11 02:15:56,561 INFO hook.py line 689 2389709] file cabinet : 0.5460 0.6656 +[2025-03-11 02:15:56,562 INFO hook.py line 689 2389709] fan : 0.3292 0.3491 +[2025-03-11 02:15:56,562 INFO hook.py line 689 2389709] laptop : 0.4526 0.7168 +[2025-03-11 02:15:56,562 INFO hook.py line 689 2389709] shower : 0.1264 0.1389 +[2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] paper : 0.0662 0.1036 +[2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] person : 0.2734 0.4711 +[2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] paper towel dispenser: 0.5265 0.6866 +[2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] oven : 0.0247 0.0285 +[2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] blinds : 0.0167 0.0186 +[2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] blackboard : 0.5577 0.6019 +[2025-03-11 02:15:56,563 INFO hook.py line 689 2389709] piano : 0.2706 0.6319 +[2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] suitcase : 0.5285 0.6737 +[2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] rail : 0.0339 0.0352 +[2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] radiator : 0.5799 0.6652 +[2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] recycling bin : 0.4567 0.4899 +[2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] wardrobe : 0.0444 0.0444 +[2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] soap dispenser : 0.7825 0.8929 +[2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] telephone : 0.2559 0.4333 +[2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] bucket : 0.1232 0.1480 +[2025-03-11 02:15:56,564 INFO hook.py line 689 2389709] clock : 0.2175 0.3056 +[2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] stand : 0.0004 0.0039 +[2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] light : 0.0087 0.0124 +[2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] laundry basket : 0.0721 0.0910 +[2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] pipe : 0.0917 0.1402 +[2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] clothes dryer : 0.4514 0.5228 +[2025-03-11 02:15:56,565 INFO hook.py line 689 2389709] guitar : 0.4416 0.5743 +[2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] ladder : 0.3956 0.5030 +[2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] bathroom stall : 0.4145 0.4716 +[2025-03-11 02:15:56,566 INFO hook.py line 689 2389709] shower wall : 0.4795 0.6760 +[2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] cup : 0.1757 0.3579 +[2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] jacket : 0.2153 0.2960 +[2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] coffee maker : 0.3658 0.9843 +[2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] dishwasher : 0.0547 0.0867 +[2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] paper towel roll: 0.2019 0.2899 +[2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] mat : 0.2191 0.2541 +[2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] windowsill : 0.2445 0.3127 +[2025-03-11 02:15:56,567 INFO hook.py line 689 2389709] bar : 0.0814 0.1828 +[2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] toaster : 0.0617 0.1208 +[2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] bulletin board : 0.1252 0.1723 +[2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] fireplace : 0.4940 0.5170 +[2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] soap dish : 0.3400 0.5241 +[2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] kitchen counter: 0.5900 0.7391 +[2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] doorframe : 0.3679 0.5649 +[2025-03-11 02:15:56,568 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4399 0.7781 +[2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] mini fridge : 0.2863 0.3245 +[2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] fire extinguisher: 0.0754 0.1960 +[2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] ball : 0.7984 0.8918 +[2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] shower curtain rod: 0.3580 0.7626 +[2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] water cooler : 0.3961 0.4007 +[2025-03-11 02:15:56,569 INFO hook.py line 689 2389709] paper cutter : 0.2252 0.2793 +[2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] shower door : 0.0573 0.0683 +[2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] pillar : 0.0753 0.1134 +[2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] ledge : 0.0722 0.1393 +[2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] toaster oven : 0.1995 0.2384 +[2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] mouse : 0.0357 0.1327 +[2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5155 0.6221 +[2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:15:56,570 INFO hook.py line 689 2389709] cart : 0.1884 0.2873 +[2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] scale : 0.2273 0.9671 +[2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] tissue box : 0.1295 0.1983 +[2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] light switch : 0.0257 0.0706 +[2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] crate : 0.0001 0.0002 +[2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] decoration : 0.0172 0.0303 +[2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] sign : 0.0151 0.0267 +[2025-03-11 02:15:56,571 INFO hook.py line 689 2389709] projector : 0.1504 0.9846 +[2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] closet door : 0.0269 0.0270 +[2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] vacuum cleaner : 0.8257 0.9635 +[2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] plunger : 0.4637 0.6346 +[2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:15:56,572 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] dish rack : 0.4429 0.9028 +[2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] broom : 0.0366 0.0408 +[2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] range hood : 0.7106 0.8912 +[2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] dustpan : 0.1009 0.2278 +[2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] handicap bar : 0.0814 0.8446 +[2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:15:56,573 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] shower floor : 0.4765 0.9640 +[2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] mailbox : 0.2324 0.2324 +[2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] bowl : 0.0580 0.1766 +[2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] paper bag : 0.0063 0.0074 +[2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 02:15:56,574 INFO hook.py line 689 2389709] divider : 0.4188 0.5255 +[2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] laundry detergent: 0.1082 0.1104 +[2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] bathroom counter: 0.2075 0.4781 +[2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] object : 0.0297 0.0519 +[2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] bathroom vanity: 0.3996 0.6721 +[2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] closet wall : 0.0533 0.0788 +[2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] laundry hamper : 0.0127 0.0154 +[2025-03-11 02:15:56,575 INFO hook.py line 689 2389709] bathroom stall door: 0.4779 0.5611 +[2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] ceiling light : 0.3192 0.6866 +[2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] trash bin : 0.3711 0.6589 +[2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] dumbbell : 0.8694 0.9781 +[2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] stair rail : 0.1696 0.1992 +[2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] tube : 0.0798 0.1269 +[2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] bathroom cabinet: 0.4045 0.6793 +[2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:15:56,576 INFO hook.py line 689 2389709] closet rod : 0.2153 0.8752 +[2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] coffee kettle : 0.0142 0.0321 +[2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] shower head : 0.2435 0.2538 +[2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] keyboard piano : 0.0274 0.0457 +[2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] case of water bottles: 0.0209 0.0210 +[2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:15:56,577 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:15:56,578 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:15:56,578 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:15:56,578 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:15:56,578 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:15:56,578 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 02:15:56,578 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:15:56,578 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2745/0.3764/0.7987. +[2025-03-11 02:15:56,580 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:15:56,597 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2745 +[2025-03-11 02:15:56,598 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2745 +[2025-03-11 02:15:56,598 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:16:27,494 INFO hook.py line 566 2389709] Train: [21/100][50/300] Data 0.002 (0.002) Batch 0.423 (0.488) Remain 03:14:49 loss: 1.0996 Lr: 4.69212e-03 +[2025-03-11 02:16:51,820 INFO hook.py line 566 2389709] Train: [21/100][100/300] Data 0.002 (0.002) Batch 0.468 (0.487) Remain 03:14:05 loss: 0.8275 Lr: 4.68547e-03 +[2025-03-11 02:17:16,681 INFO hook.py line 566 2389709] Train: [21/100][150/300] Data 0.003 (0.002) Batch 0.508 (0.491) Remain 03:15:01 loss: 1.0084 Lr: 4.67874e-03 +[2025-03-11 02:17:41,482 INFO hook.py line 566 2389709] Train: [21/100][200/300] Data 0.003 (0.002) Batch 0.533 (0.492) Remain 03:15:09 loss: 0.9745 Lr: 4.67195e-03 +[2025-03-11 02:18:05,977 INFO hook.py line 566 2389709] Train: [21/100][250/300] Data 0.003 (0.002) Batch 0.541 (0.492) Remain 03:14:35 loss: 1.1323 Lr: 4.66510e-03 +[2025-03-11 02:18:30,328 INFO hook.py line 566 2389709] Train: [21/100][300/300] Data 0.002 (0.002) Batch 0.515 (0.491) Remain 03:13:52 loss: 1.0053 Lr: 4.65818e-03 +[2025-03-11 02:18:30,329 INFO misc.py line 135 2389709] Train result: loss: 0.9704 +[2025-03-11 02:18:30,429 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:19:25,413 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5690 +[2025-03-11 02:19:25,460 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3701 +[2025-03-11 02:19:25,502 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6839 +[2025-03-11 02:19:25,553 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6217 +[2025-03-11 02:19:25,592 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0626 +[2025-03-11 02:19:25,650 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8521 +[2025-03-11 02:19:25,704 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9350 +[2025-03-11 02:19:25,742 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4469 +[2025-03-11 02:19:25,787 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2365 +[2025-03-11 02:19:25,824 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2549 +[2025-03-11 02:19:25,871 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1811 +[2025-03-11 02:19:25,914 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9874 +[2025-03-11 02:19:25,965 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4291 +[2025-03-11 02:19:26,009 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.7425 +[2025-03-11 02:19:26,045 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9663 +[2025-03-11 02:19:26,102 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3171 +[2025-03-11 02:19:26,140 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0165 +[2025-03-11 02:19:26,177 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9598 +[2025-03-11 02:19:26,224 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1550 +[2025-03-11 02:19:26,271 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3899 +[2025-03-11 02:19:26,312 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6707 +[2025-03-11 02:19:26,352 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5886 +[2025-03-11 02:19:26,387 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6486 +[2025-03-11 02:19:26,444 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8817 +[2025-03-11 02:19:26,487 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.1418 +[2025-03-11 02:19:26,528 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2937 +[2025-03-11 02:19:26,586 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5034 +[2025-03-11 02:19:26,629 INFO hook.py line 748 2389709] Test: [28/78] Loss 1.2731 +[2025-03-11 02:19:26,662 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.6751 +[2025-03-11 02:19:26,720 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.0232 +[2025-03-11 02:19:26,778 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7736 +[2025-03-11 02:19:26,816 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4054 +[2025-03-11 02:19:26,873 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8982 +[2025-03-11 02:19:26,912 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.7627 +[2025-03-11 02:19:26,958 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0671 +[2025-03-11 02:19:26,995 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3152 +[2025-03-11 02:19:27,037 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1759 +[2025-03-11 02:19:27,075 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6783 +[2025-03-11 02:19:27,154 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8967 +[2025-03-11 02:19:27,201 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4954 +[2025-03-11 02:19:27,257 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1672 +[2025-03-11 02:19:27,293 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6020 +[2025-03-11 02:19:27,333 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1907 +[2025-03-11 02:19:27,390 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9465 +[2025-03-11 02:19:27,427 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3986 +[2025-03-11 02:19:27,476 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1384 +[2025-03-11 02:19:27,518 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0201 +[2025-03-11 02:19:27,552 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0665 +[2025-03-11 02:19:27,584 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6986 +[2025-03-11 02:19:27,617 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6053 +[2025-03-11 02:19:27,651 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0566 +[2025-03-11 02:19:27,688 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6706 +[2025-03-11 02:19:27,719 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1614 +[2025-03-11 02:19:27,755 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1715 +[2025-03-11 02:19:27,793 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0284 +[2025-03-11 02:19:27,834 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8656 +[2025-03-11 02:19:27,868 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6822 +[2025-03-11 02:19:27,893 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1455 +[2025-03-11 02:19:27,935 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7463 +[2025-03-11 02:19:27,976 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5237 +[2025-03-11 02:19:28,005 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.1707 +[2025-03-11 02:19:28,045 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9580 +[2025-03-11 02:19:28,082 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.6783 +[2025-03-11 02:19:28,140 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6061 +[2025-03-11 02:19:28,172 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0952 +[2025-03-11 02:19:28,215 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6287 +[2025-03-11 02:19:28,255 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9225 +[2025-03-11 02:19:28,297 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8575 +[2025-03-11 02:19:28,330 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4073 +[2025-03-11 02:19:28,390 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7321 +[2025-03-11 02:19:28,434 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0084 +[2025-03-11 02:19:28,492 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4678 +[2025-03-11 02:19:28,550 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7076 +[2025-03-11 02:19:28,593 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8882 +[2025-03-11 02:19:28,644 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5394 +[2025-03-11 02:19:28,673 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7458 +[2025-03-11 02:19:28,736 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6825 +[2025-03-11 02:19:28,763 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9103 +[2025-03-11 02:19:30,034 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:19:30,034 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:19:30,034 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] wall : 0.7693 0.9116 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] chair : 0.6964 0.7800 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] floor : 0.9553 0.9818 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] table : 0.6466 0.7762 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] door : 0.5665 0.6101 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] couch : 0.7587 0.8578 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] cabinet : 0.2476 0.3381 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] shelf : 0.4128 0.5659 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] desk : 0.5383 0.6798 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] office chair : 0.2794 0.5604 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] bed : 0.6889 0.9270 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] pillow : 0.4558 0.7118 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] sink : 0.6323 0.6923 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] picture : 0.3395 0.4952 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] window : 0.5050 0.6274 +[2025-03-11 02:19:30,034 INFO hook.py line 689 2389709] toilet : 0.9039 0.9673 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] bookshelf : 0.3746 0.4322 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] monitor : 0.8419 0.9232 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] curtain : 0.6843 0.7977 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] book : 0.3959 0.7644 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] armchair : 0.4694 0.6989 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] coffee table : 0.6522 0.8322 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] box : 0.2388 0.3771 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] refrigerator : 0.6295 0.6904 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] lamp : 0.6543 0.7313 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] kitchen cabinet: 0.4594 0.7245 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] towel : 0.4623 0.6365 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] clothes : 0.2112 0.4022 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] tv : 0.8090 0.9372 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] nightstand : 0.6664 0.7932 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] counter : 0.1996 0.2314 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] dresser : 0.2210 0.5425 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] stool : 0.5432 0.7468 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] plant : 0.7151 0.8649 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] ceiling : 0.9180 0.9639 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] bathtub : 0.8022 0.9296 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] end table : 0.1832 0.3860 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] dining table : 0.1012 0.1699 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] keyboard : 0.4158 0.5812 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] bag : 0.1427 0.2653 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] backpack : 0.4718 0.4996 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] toilet paper : 0.3638 0.5619 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] printer : 0.3374 0.5604 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] tv stand : 0.4485 0.9067 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] whiteboard : 0.4791 0.5685 +[2025-03-11 02:19:30,035 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] shower curtain : 0.5985 0.7667 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] trash can : 0.6101 0.8105 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] closet : 0.0705 0.0882 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] stairs : 0.4950 0.6964 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] microwave : 0.3314 0.7451 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] stove : 0.5374 0.8650 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] shoe : 0.4369 0.5296 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] computer tower : 0.5756 0.6487 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] bottle : 0.1106 0.2327 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] bin : 0.0173 0.0374 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] ottoman : 0.3838 0.7043 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] bench : 0.1338 0.1445 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] board : 0.1099 0.2016 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] washing machine: 0.6402 0.9063 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] mirror : 0.3547 0.4333 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] copier : 0.8197 0.9466 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] basket : 0.0024 0.0075 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] sofa chair : 0.1343 0.3108 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] file cabinet : 0.4727 0.5517 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] fan : 0.3129 0.4476 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] laptop : 0.4706 0.5610 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] shower : 0.1887 0.2090 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] paper : 0.0198 0.0224 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] person : 0.1617 0.5112 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] paper towel dispenser: 0.5726 0.7972 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] oven : 0.0750 0.1067 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] blackboard : 0.5882 0.6385 +[2025-03-11 02:19:30,036 INFO hook.py line 689 2389709] piano : 0.5666 0.6904 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] suitcase : 0.4854 0.8276 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] rail : 0.0179 0.0188 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] radiator : 0.5573 0.6437 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] recycling bin : 0.4898 0.5436 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] container : 0.0003 0.0009 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] wardrobe : 0.1573 0.3738 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] soap dispenser : 0.7062 0.8963 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] telephone : 0.2863 0.4355 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] bucket : 0.2612 0.4836 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] clock : 0.1954 0.2235 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] light : 0.0486 0.0636 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] laundry basket : 0.1340 0.5461 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] pipe : 0.1072 0.1760 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] clothes dryer : 0.5107 0.5793 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] guitar : 0.5735 0.8287 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] column : 0.1529 0.2089 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] ladder : 0.4773 0.6315 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] bathroom stall : 0.2920 0.3260 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] shower wall : 0.4986 0.6855 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] cup : 0.2142 0.3529 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] jacket : 0.1407 0.1818 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] storage bin : 0.0406 0.1091 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] coffee maker : 0.6547 0.9541 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] dishwasher : 0.0927 0.8023 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] paper towel roll: 0.2254 0.2295 +[2025-03-11 02:19:30,037 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] mat : 0.2301 0.2838 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] windowsill : 0.2361 0.3109 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] bar : 0.1010 0.1919 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] bulletin board : 0.0864 0.1324 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] ironing board : 0.0027 0.0047 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] fireplace : 0.4798 0.6172 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] soap dish : 0.3095 0.3886 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] kitchen counter: 0.5591 0.8194 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] doorframe : 0.3614 0.5642 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2950 0.4043 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] mini fridge : 0.2828 0.2989 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] ball : 0.6009 0.9009 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] shower curtain rod: 0.1553 0.9654 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] water cooler : 0.3095 0.5513 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] paper cutter : 0.2163 0.2518 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] shower door : 0.0977 0.1523 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] pillar : 0.0007 0.0007 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] ledge : 0.0456 0.0591 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] toaster oven : 0.1028 0.1035 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] mouse : 0.0451 0.3545 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6402 0.8161 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] cart : 0.3165 0.4412 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] scale : 0.3924 0.9578 +[2025-03-11 02:19:30,038 INFO hook.py line 689 2389709] tissue box : 0.1618 0.2799 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] light switch : 0.1053 0.1963 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] decoration : 0.2395 0.4301 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] sign : 0.0089 0.0151 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] closet door : 0.1573 0.1630 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] vacuum cleaner : 0.5863 0.8063 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] plunger : 0.1306 0.9873 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] dish rack : 0.2714 0.4230 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] broom : 0.0107 0.0144 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] range hood : 0.4966 0.9246 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] dustpan : 0.0299 0.1345 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] handicap bar : 0.0439 0.7176 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] shower floor : 0.6712 0.9355 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] water pitcher : 0.0988 0.3518 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] mailbox : 0.3874 0.4069 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] bowl : 0.0009 0.0016 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] paper bag : 0.0752 0.0999 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:19:30,039 INFO hook.py line 689 2389709] projector screen: 0.0697 0.1406 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] divider : 0.4833 0.6007 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] laundry detergent: 0.0059 0.0061 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] bathroom counter: 0.3267 0.4357 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] object : 0.0461 0.0773 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] bathroom vanity: 0.4253 0.7979 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] closet wall : 0.0766 0.1061 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] laundry hamper : 0.1462 0.3922 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] bathroom stall door: 0.4552 0.7114 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] ceiling light : 0.1898 0.3194 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] trash bin : 0.3820 0.5046 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] dumbbell : 0.3278 0.9813 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] stair rail : 0.1436 0.2452 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] tube : 0.0910 0.1385 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] bathroom cabinet: 0.0494 0.0628 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] closet rod : 0.4866 0.7414 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] coffee kettle : 0.0154 0.0200 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] shower head : 0.2318 0.3388 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:19:30,040 INFO hook.py line 689 2389709] mattress : 0.1412 0.1512 +[2025-03-11 02:19:30,041 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:19:30,041 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2692/0.3898/0.7938. +[2025-03-11 02:19:30,041 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:19:30,059 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2745 +[2025-03-11 02:19:30,060 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:20:00,666 INFO hook.py line 566 2389709] Train: [22/100][50/300] Data 0.002 (0.003) Batch 0.504 (0.494) Remain 03:14:38 loss: 0.7062 Lr: 4.65119e-03 +[2025-03-11 02:20:25,258 INFO hook.py line 566 2389709] Train: [22/100][100/300] Data 0.002 (0.003) Batch 0.513 (0.493) Remain 03:13:49 loss: 1.0792 Lr: 4.64414e-03 +[2025-03-11 02:20:49,924 INFO hook.py line 566 2389709] Train: [22/100][150/300] Data 0.003 (0.002) Batch 0.463 (0.493) Remain 03:13:29 loss: 0.8526 Lr: 4.63702e-03 +[2025-03-11 02:21:14,089 INFO hook.py line 566 2389709] Train: [22/100][200/300] Data 0.003 (0.002) Batch 0.480 (0.491) Remain 03:12:07 loss: 0.7124 Lr: 4.62984e-03 +[2025-03-11 02:21:38,841 INFO hook.py line 566 2389709] Train: [22/100][250/300] Data 0.002 (0.002) Batch 0.502 (0.491) Remain 03:12:04 loss: 1.1529 Lr: 4.62259e-03 +[2025-03-11 02:22:02,927 INFO hook.py line 566 2389709] Train: [22/100][300/300] Data 0.001 (0.002) Batch 0.432 (0.490) Remain 03:11:01 loss: 1.1593 Lr: 4.61528e-03 +[2025-03-11 02:22:02,928 INFO misc.py line 135 2389709] Train result: loss: 0.9774 +[2025-03-11 02:22:03,018 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:22:57,282 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4902 +[2025-03-11 02:22:57,331 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2353 +[2025-03-11 02:22:57,379 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5650 +[2025-03-11 02:22:57,429 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5805 +[2025-03-11 02:22:57,464 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9285 +[2025-03-11 02:22:57,522 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7239 +[2025-03-11 02:22:57,578 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9617 +[2025-03-11 02:22:57,615 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4840 +[2025-03-11 02:22:57,660 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2791 +[2025-03-11 02:22:57,701 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0143 +[2025-03-11 02:22:57,750 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1357 +[2025-03-11 02:22:57,797 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1182 +[2025-03-11 02:22:57,847 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2113 +[2025-03-11 02:22:57,891 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.1328 +[2025-03-11 02:22:57,936 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0851 +[2025-03-11 02:22:57,984 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4693 +[2025-03-11 02:22:58,023 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0022 +[2025-03-11 02:22:58,061 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9600 +[2025-03-11 02:22:58,104 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3589 +[2025-03-11 02:22:58,141 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3651 +[2025-03-11 02:22:58,180 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7240 +[2025-03-11 02:22:58,226 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6335 +[2025-03-11 02:22:58,258 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2733 +[2025-03-11 02:22:58,310 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9229 +[2025-03-11 02:22:58,353 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4483 +[2025-03-11 02:22:58,395 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3509 +[2025-03-11 02:22:58,452 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.4430 +[2025-03-11 02:22:58,494 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7660 +[2025-03-11 02:22:58,523 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0433 +[2025-03-11 02:22:58,578 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.4108 +[2025-03-11 02:22:58,636 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6342 +[2025-03-11 02:22:58,675 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1844 +[2025-03-11 02:22:58,732 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8757 +[2025-03-11 02:22:58,771 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.6777 +[2025-03-11 02:22:58,808 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0425 +[2025-03-11 02:22:58,846 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3441 +[2025-03-11 02:22:58,885 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.6061 +[2025-03-11 02:22:58,915 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7285 +[2025-03-11 02:22:58,983 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9485 +[2025-03-11 02:22:59,032 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5365 +[2025-03-11 02:22:59,077 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3762 +[2025-03-11 02:22:59,104 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5781 +[2025-03-11 02:22:59,139 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1164 +[2025-03-11 02:22:59,197 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9442 +[2025-03-11 02:22:59,235 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4426 +[2025-03-11 02:22:59,282 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.8839 +[2025-03-11 02:22:59,320 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6223 +[2025-03-11 02:22:59,354 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1260 +[2025-03-11 02:22:59,385 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1758 +[2025-03-11 02:22:59,418 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0030 +[2025-03-11 02:22:59,457 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8381 +[2025-03-11 02:22:59,492 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6387 +[2025-03-11 02:22:59,521 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1512 +[2025-03-11 02:22:59,557 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8745 +[2025-03-11 02:22:59,596 INFO hook.py line 748 2389709] Test: [55/78] Loss 0.9520 +[2025-03-11 02:22:59,637 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9596 +[2025-03-11 02:22:59,672 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6914 +[2025-03-11 02:22:59,698 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1664 +[2025-03-11 02:22:59,737 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9813 +[2025-03-11 02:22:59,773 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5978 +[2025-03-11 02:22:59,797 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9862 +[2025-03-11 02:22:59,833 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0311 +[2025-03-11 02:22:59,871 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4085 +[2025-03-11 02:22:59,927 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9167 +[2025-03-11 02:22:59,955 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0247 +[2025-03-11 02:22:59,997 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6059 +[2025-03-11 02:23:00,037 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9256 +[2025-03-11 02:23:00,073 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0687 +[2025-03-11 02:23:00,104 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3096 +[2025-03-11 02:23:00,164 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7503 +[2025-03-11 02:23:00,207 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.2392 +[2025-03-11 02:23:00,262 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8101 +[2025-03-11 02:23:00,315 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5805 +[2025-03-11 02:23:00,358 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8073 +[2025-03-11 02:23:00,409 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5383 +[2025-03-11 02:23:00,437 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9879 +[2025-03-11 02:23:00,496 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7785 +[2025-03-11 02:23:00,522 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1103 +[2025-03-11 02:23:01,686 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:23:01,686 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:23:01,686 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] wall : 0.7656 0.9202 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] chair : 0.7453 0.8680 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] floor : 0.9511 0.9827 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] table : 0.6478 0.7817 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] door : 0.6021 0.7856 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] couch : 0.7665 0.9377 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] cabinet : 0.2658 0.4300 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] shelf : 0.4164 0.5353 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] desk : 0.5462 0.7183 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] office chair : 0.1095 0.1328 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] bed : 0.7643 0.8647 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] pillow : 0.4761 0.5997 +[2025-03-11 02:23:01,686 INFO hook.py line 689 2389709] sink : 0.5944 0.7508 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] picture : 0.3435 0.5153 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] window : 0.5001 0.5959 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] toilet : 0.9087 0.9374 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bookshelf : 0.5288 0.7201 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] monitor : 0.8105 0.9034 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] curtain : 0.6653 0.8202 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] book : 0.4058 0.6187 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] armchair : 0.4405 0.5749 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] coffee table : 0.5856 0.6655 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] box : 0.3015 0.4033 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] refrigerator : 0.6392 0.8144 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] lamp : 0.5823 0.7238 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] kitchen cabinet: 0.6562 0.8957 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] towel : 0.3852 0.6017 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] clothes : 0.1715 0.2868 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] tv : 0.7425 0.9260 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] nightstand : 0.6043 0.8234 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] counter : 0.2901 0.3880 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] dresser : 0.3336 0.6975 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] stool : 0.5058 0.6722 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] plant : 0.7272 0.7888 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] ceiling : 0.9234 0.9606 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bathtub : 0.8327 0.9160 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] end table : 0.1587 0.2697 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] dining table : 0.0252 0.0277 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] keyboard : 0.4343 0.5366 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bag : 0.0655 0.0749 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] backpack : 0.5791 0.6419 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] toilet paper : 0.4272 0.5747 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] printer : 0.4935 0.6086 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] tv stand : 0.6985 0.8845 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] whiteboard : 0.4584 0.5949 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] blanket : 0.0004 0.0005 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] shower curtain : 0.5540 0.6033 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] trash can : 0.5486 0.6912 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] closet : 0.0198 0.0247 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] stairs : 0.5802 0.6885 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] microwave : 0.3707 0.4672 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] stove : 0.6589 0.8897 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] shoe : 0.4158 0.5869 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] computer tower : 0.5894 0.7455 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bottle : 0.1279 0.2589 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] ottoman : 0.1307 0.1734 +[2025-03-11 02:23:01,687 INFO hook.py line 689 2389709] bench : 0.2368 0.2966 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] board : 0.1311 0.2478 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] washing machine: 0.7250 0.8761 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] mirror : 0.2851 0.5191 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] copier : 0.7990 0.9020 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] sofa chair : 0.0928 0.2333 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] file cabinet : 0.4196 0.5801 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] fan : 0.0025 0.0025 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] laptop : 0.4817 0.5562 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] shower : 0.3150 0.3417 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] paper : 0.0229 0.0345 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] person : 0.2182 0.2663 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] paper towel dispenser: 0.5152 0.5398 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] oven : 0.0310 0.0353 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] blinds : 0.0247 0.0251 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] blackboard : 0.6210 0.6844 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] piano : 0.5240 0.6531 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] suitcase : 0.4433 0.8538 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] rail : 0.0185 0.0194 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] radiator : 0.4873 0.6955 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] recycling bin : 0.4365 0.6580 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] wardrobe : 0.1397 0.2038 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] soap dispenser : 0.6866 0.8753 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] telephone : 0.2073 0.2583 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] bucket : 0.3669 0.5266 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] clock : 0.1159 0.1267 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] light : 0.0162 0.0206 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] laundry basket : 0.2050 0.2502 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] pipe : 0.0162 0.0197 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] clothes dryer : 0.1925 0.1942 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] guitar : 0.4070 0.4879 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] column : 0.1006 0.2455 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] ladder : 0.2597 0.2931 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] bathroom stall : 0.2117 0.2253 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] shower wall : 0.5027 0.6183 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] cup : 0.1515 0.4788 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] jacket : 0.1395 0.1652 +[2025-03-11 02:23:01,688 INFO hook.py line 689 2389709] storage bin : 0.0010 0.0013 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] coffee maker : 0.6198 0.8946 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] dishwasher : 0.2108 0.2523 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] paper towel roll: 0.2188 0.5455 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] machine : 0.0001 0.0001 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] mat : 0.0261 0.0274 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] windowsill : 0.2013 0.2915 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] bar : 0.1366 0.1687 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] toaster : 0.1499 0.2354 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] bulletin board : 0.2344 0.3612 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] ironing board : 0.0013 0.0013 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] fireplace : 0.4424 0.4592 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] soap dish : 0.2811 0.6278 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] kitchen counter: 0.5650 0.7629 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] doorframe : 0.3366 0.4300 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3075 0.3801 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] mini fridge : 0.0492 0.0532 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] ball : 0.6547 0.9181 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] hat : 0.0015 0.0092 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] shower curtain rod: 0.3130 0.8978 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] water cooler : 0.2209 0.2356 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] paper cutter : 0.1820 0.1957 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] tray : 0.0032 0.0057 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] shower door : 0.1088 0.1764 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] pillar : 0.0084 0.0085 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] ledge : 0.0465 0.0640 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] toaster oven : 0.1643 0.1651 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] mouse : 0.0609 0.3004 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.3795 0.4010 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] cart : 0.0792 0.0854 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] scale : 0.1661 0.7745 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] tissue box : 0.1033 0.1340 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] light switch : 0.0370 0.2985 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] decoration : 0.0140 0.0360 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] sign : 0.1184 0.1827 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] projector : 0.1384 0.7929 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] closet door : 0.0177 0.0178 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] vacuum cleaner : 0.8613 0.9238 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] plunger : 0.4877 0.5683 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:23:01,689 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] dish rack : 0.4880 0.4990 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] broom : 0.0532 0.0634 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] range hood : 0.7540 0.8866 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] dustpan : 0.0623 0.1827 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] handicap bar : 0.0291 0.3075 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] shower floor : 0.8246 0.9124 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] mailbox : 0.3439 0.3487 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] bowl : 0.0342 0.0547 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] paper bag : 0.0629 0.1136 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] projector screen: 0.0013 0.0014 +[2025-03-11 02:23:01,690 INFO hook.py line 689 2389709] divider : 0.4210 0.5631 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] laundry detergent: 0.0510 0.0572 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] bathroom counter: 0.2804 0.5162 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] object : 0.0535 0.1459 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] bathroom vanity: 0.3275 0.4928 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] closet wall : 0.0598 0.0713 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] laundry hamper : 0.1392 0.1630 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] bathroom stall door: 0.4246 0.6324 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] ceiling light : 0.4000 0.5238 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] trash bin : 0.2894 0.4055 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] dumbbell : 0.3000 0.9689 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] stair rail : 0.0433 0.0487 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] tube : 0.0502 0.2904 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] bathroom cabinet: 0.2528 0.4683 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] closet rod : 0.4801 0.7755 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] coffee kettle : 0.0611 0.0768 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] shower head : 0.2476 0.3473 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:23:01,691 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:23:01,692 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:23:01,692 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:23:01,692 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:23:01,692 INFO hook.py line 689 2389709] mattress : 0.0279 0.0336 +[2025-03-11 02:23:01,692 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:23:01,692 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2647/0.3577/0.8031. +[2025-03-11 02:23:01,692 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:23:01,701 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2745 +[2025-03-11 02:23:01,701 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:23:31,798 INFO hook.py line 566 2389709] Train: [23/100][50/300] Data 0.002 (0.003) Batch 0.523 (0.502) Remain 03:15:28 loss: 0.7896 Lr: 4.60790e-03 +[2025-03-11 02:23:56,790 INFO hook.py line 566 2389709] Train: [23/100][100/300] Data 0.002 (0.002) Batch 0.472 (0.501) Remain 03:14:33 loss: 0.9357 Lr: 4.60046e-03 +[2025-03-11 02:24:21,358 INFO hook.py line 566 2389709] Train: [23/100][150/300] Data 0.005 (0.002) Batch 0.475 (0.498) Remain 03:12:52 loss: 0.8837 Lr: 4.59296e-03 +[2025-03-11 02:24:45,848 INFO hook.py line 566 2389709] Train: [23/100][200/300] Data 0.002 (0.002) Batch 0.545 (0.496) Remain 03:11:40 loss: 0.9777 Lr: 4.58539e-03 +[2025-03-11 02:25:10,587 INFO hook.py line 566 2389709] Train: [23/100][250/300] Data 0.002 (0.002) Batch 0.489 (0.496) Remain 03:11:11 loss: 0.7798 Lr: 4.57776e-03 +[2025-03-11 02:25:34,522 INFO hook.py line 566 2389709] Train: [23/100][300/300] Data 0.001 (0.002) Batch 0.479 (0.493) Remain 03:09:41 loss: 0.9334 Lr: 4.57007e-03 +[2025-03-11 02:25:34,522 INFO misc.py line 135 2389709] Train result: loss: 0.9520 +[2025-03-11 02:25:34,620 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:26:30,082 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6143 +[2025-03-11 02:26:30,125 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6182 +[2025-03-11 02:26:30,162 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6625 +[2025-03-11 02:26:30,213 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5535 +[2025-03-11 02:26:30,249 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9986 +[2025-03-11 02:26:30,308 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.4724 +[2025-03-11 02:26:30,360 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9637 +[2025-03-11 02:26:30,407 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1648 +[2025-03-11 02:26:30,469 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3670 +[2025-03-11 02:26:30,513 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1159 +[2025-03-11 02:26:30,559 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0662 +[2025-03-11 02:26:30,596 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1625 +[2025-03-11 02:26:30,647 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4307 +[2025-03-11 02:26:30,702 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.6870 +[2025-03-11 02:26:30,741 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2032 +[2025-03-11 02:26:30,791 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.2510 +[2025-03-11 02:26:30,828 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1312 +[2025-03-11 02:26:30,865 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8238 +[2025-03-11 02:26:30,906 INFO hook.py line 748 2389709] Test: [19/78] Loss 1.9582 +[2025-03-11 02:26:30,943 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4941 +[2025-03-11 02:26:30,979 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6621 +[2025-03-11 02:26:31,019 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7391 +[2025-03-11 02:26:31,059 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2673 +[2025-03-11 02:26:31,110 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8292 +[2025-03-11 02:26:31,156 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4964 +[2025-03-11 02:26:31,205 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7292 +[2025-03-11 02:26:31,260 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.4130 +[2025-03-11 02:26:31,298 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5757 +[2025-03-11 02:26:31,332 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0340 +[2025-03-11 02:26:31,393 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.3306 +[2025-03-11 02:26:31,451 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6716 +[2025-03-11 02:26:31,486 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1766 +[2025-03-11 02:26:31,548 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8317 +[2025-03-11 02:26:31,591 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.0289 +[2025-03-11 02:26:31,630 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0930 +[2025-03-11 02:26:31,674 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2932 +[2025-03-11 02:26:31,715 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.8271 +[2025-03-11 02:26:31,744 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8757 +[2025-03-11 02:26:31,810 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.4927 +[2025-03-11 02:26:31,866 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3260 +[2025-03-11 02:26:31,915 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3140 +[2025-03-11 02:26:31,943 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6027 +[2025-03-11 02:26:31,979 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9196 +[2025-03-11 02:26:32,037 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.1720 +[2025-03-11 02:26:32,072 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3216 +[2025-03-11 02:26:32,120 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0833 +[2025-03-11 02:26:32,158 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9118 +[2025-03-11 02:26:32,191 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9498 +[2025-03-11 02:26:32,223 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2350 +[2025-03-11 02:26:32,255 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6732 +[2025-03-11 02:26:32,285 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9978 +[2025-03-11 02:26:32,320 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4162 +[2025-03-11 02:26:32,348 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2342 +[2025-03-11 02:26:32,383 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3261 +[2025-03-11 02:26:32,422 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0423 +[2025-03-11 02:26:32,467 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9854 +[2025-03-11 02:26:32,506 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9802 +[2025-03-11 02:26:32,536 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0566 +[2025-03-11 02:26:32,576 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7503 +[2025-03-11 02:26:32,612 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5731 +[2025-03-11 02:26:32,636 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8165 +[2025-03-11 02:26:32,671 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1279 +[2025-03-11 02:26:32,709 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2152 +[2025-03-11 02:26:32,766 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6613 +[2025-03-11 02:26:32,802 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0424 +[2025-03-11 02:26:32,849 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8724 +[2025-03-11 02:26:32,889 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0976 +[2025-03-11 02:26:32,946 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8046 +[2025-03-11 02:26:32,997 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3509 +[2025-03-11 02:26:33,065 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3263 +[2025-03-11 02:26:33,112 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5320 +[2025-03-11 02:26:33,166 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3520 +[2025-03-11 02:26:33,220 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6901 +[2025-03-11 02:26:33,263 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.7822 +[2025-03-11 02:26:33,314 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6810 +[2025-03-11 02:26:33,342 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6086 +[2025-03-11 02:26:33,401 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7444 +[2025-03-11 02:26:33,428 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0721 +[2025-03-11 02:26:34,673 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:26:34,674 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:26:34,674 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] wall : 0.7692 0.9064 +[2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] chair : 0.7455 0.8974 +[2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] floor : 0.9523 0.9660 +[2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] table : 0.6323 0.7536 +[2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] door : 0.6188 0.7863 +[2025-03-11 02:26:34,674 INFO hook.py line 689 2389709] couch : 0.7797 0.8545 +[2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] cabinet : 0.3251 0.4848 +[2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] shelf : 0.3064 0.4114 +[2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] desk : 0.5539 0.6976 +[2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] office chair : 0.0022 0.0022 +[2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] bed : 0.7508 0.8336 +[2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] pillow : 0.4689 0.7444 +[2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] sink : 0.6178 0.7137 +[2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] picture : 0.3679 0.4576 +[2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] window : 0.5643 0.7319 +[2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] toilet : 0.8900 0.9239 +[2025-03-11 02:26:34,675 INFO hook.py line 689 2389709] bookshelf : 0.4774 0.6762 +[2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] monitor : 0.8489 0.9110 +[2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] curtain : 0.6744 0.8177 +[2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] book : 0.4323 0.6763 +[2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] armchair : 0.4898 0.6799 +[2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] coffee table : 0.6245 0.7050 +[2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] box : 0.3097 0.4788 +[2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] refrigerator : 0.5395 0.5722 +[2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] lamp : 0.6430 0.7997 +[2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] kitchen cabinet: 0.6670 0.7486 +[2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] towel : 0.4530 0.6301 +[2025-03-11 02:26:34,676 INFO hook.py line 689 2389709] clothes : 0.1206 0.5238 +[2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] tv : 0.8223 0.8508 +[2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] nightstand : 0.6009 0.7972 +[2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] counter : 0.2015 0.3219 +[2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] dresser : 0.3828 0.4957 +[2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] stool : 0.2826 0.7988 +[2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] plant : 0.7380 0.8883 +[2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] ceiling : 0.9244 0.9730 +[2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] bathtub : 0.8520 0.8888 +[2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] end table : 0.3845 0.7782 +[2025-03-11 02:26:34,677 INFO hook.py line 689 2389709] dining table : 0.0752 0.1143 +[2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] keyboard : 0.4138 0.5570 +[2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] bag : 0.2051 0.5051 +[2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] backpack : 0.5931 0.7390 +[2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] toilet paper : 0.4484 0.5022 +[2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] printer : 0.3800 0.6094 +[2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] tv stand : 0.5765 0.8305 +[2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] whiteboard : 0.4667 0.5980 +[2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] blanket : 0.0073 0.0085 +[2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] shower curtain : 0.4955 0.5523 +[2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] trash can : 0.6138 0.7199 +[2025-03-11 02:26:34,678 INFO hook.py line 689 2389709] closet : 0.0309 0.0383 +[2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] stairs : 0.5566 0.6142 +[2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] microwave : 0.4321 0.5644 +[2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] stove : 0.6118 0.8055 +[2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] shoe : 0.3242 0.7607 +[2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] computer tower : 0.3459 0.7972 +[2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] bottle : 0.1196 0.2101 +[2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] ottoman : 0.3397 0.4388 +[2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] bench : 0.4073 0.6479 +[2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] board : 0.1450 0.3088 +[2025-03-11 02:26:34,679 INFO hook.py line 689 2389709] washing machine: 0.7213 0.9141 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] mirror : 0.3196 0.3682 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] copier : 0.6265 0.9512 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] sofa chair : 0.1485 0.2774 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] file cabinet : 0.3132 0.8420 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] fan : 0.3442 0.3823 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] laptop : 0.5012 0.6386 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] shower : 0.0742 0.0765 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] paper : 0.0429 0.0718 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] person : 0.1550 0.5209 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] paper towel dispenser: 0.5601 0.8236 +[2025-03-11 02:26:34,680 INFO hook.py line 689 2389709] oven : 0.1036 0.1170 +[2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] blinds : 0.0006 0.0007 +[2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] blackboard : 0.5333 0.6618 +[2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] piano : 0.3691 0.6098 +[2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] suitcase : 0.3795 0.5172 +[2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] rail : 0.0204 0.0205 +[2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] radiator : 0.6045 0.6368 +[2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] recycling bin : 0.5072 0.5930 +[2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] container : 0.0030 0.0066 +[2025-03-11 02:26:34,681 INFO hook.py line 689 2389709] wardrobe : 0.1133 0.1347 +[2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] soap dispenser : 0.6404 0.8133 +[2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] telephone : 0.1741 0.6644 +[2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] bucket : 0.4029 0.6602 +[2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] clock : 0.1518 0.3465 +[2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] light : 0.1880 0.2593 +[2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 02:26:34,682 INFO hook.py line 689 2389709] pipe : 0.0609 0.1012 +[2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] clothes dryer : 0.3688 0.3968 +[2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] guitar : 0.1273 0.4581 +[2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] column : 0.0105 0.0841 +[2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] ladder : 0.3524 0.6249 +[2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] bathroom stall : 0.2568 0.2704 +[2025-03-11 02:26:34,683 INFO hook.py line 689 2389709] shower wall : 0.4942 0.6082 +[2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] cup : 0.1659 0.4376 +[2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] jacket : 0.1374 0.3119 +[2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] storage bin : 0.0745 0.1726 +[2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] coffee maker : 0.4939 0.9876 +[2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] dishwasher : 0.1021 0.1465 +[2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] paper towel roll: 0.2707 0.3139 +[2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] machine : 0.0002 0.0004 +[2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] mat : 0.2719 0.2989 +[2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] windowsill : 0.1133 0.1195 +[2025-03-11 02:26:34,684 INFO hook.py line 689 2389709] bar : 0.1141 0.1834 +[2025-03-11 02:26:34,685 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] bulletin board : 0.1682 0.2720 +[2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] ironing board : 0.0153 0.0274 +[2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] fireplace : 0.4847 0.4968 +[2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] soap dish : 0.3366 0.4821 +[2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] kitchen counter: 0.4235 0.4853 +[2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] doorframe : 0.3434 0.6514 +[2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2601 0.3024 +[2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] mini fridge : 0.2647 0.5476 +[2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] fire extinguisher: 0.0372 0.0483 +[2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] ball : 0.6152 0.9352 +[2025-03-11 02:26:34,686 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] shower curtain rod: 0.3582 0.7171 +[2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] water cooler : 0.3998 0.5986 +[2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] paper cutter : 0.1598 0.3178 +[2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] tray : 0.0191 0.0608 +[2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] shower door : 0.0357 0.0361 +[2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] pillar : 0.0644 0.0900 +[2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] ledge : 0.0451 0.0985 +[2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] toaster oven : 0.1844 0.2327 +[2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] mouse : 0.0500 0.2601 +[2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.1003 0.1100 +[2025-03-11 02:26:34,687 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] cart : 0.3076 0.5840 +[2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] scale : 0.1612 0.8946 +[2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] tissue box : 0.1390 0.1942 +[2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] light switch : 0.0422 0.4503 +[2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] decoration : 0.1183 0.6298 +[2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] projector : 0.0508 0.9949 +[2025-03-11 02:26:34,688 INFO hook.py line 689 2389709] closet door : 0.0523 0.0652 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] vacuum cleaner : 0.7378 0.9715 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] plunger : 0.2294 0.9968 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] dish rack : 0.3014 0.4411 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] broom : 0.0276 0.0461 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] range hood : 0.4356 0.9371 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] dustpan : 0.1262 0.2248 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:26:34,689 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] handicap bar : 0.0075 0.0578 +[2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] shower floor : 0.5611 0.9928 +[2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] water pitcher : 0.0033 0.0056 +[2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] mailbox : 0.1998 0.2046 +[2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] bowl : 0.0346 0.0405 +[2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] paper bag : 0.0003 0.0006 +[2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:26:34,690 INFO hook.py line 689 2389709] projector screen: 0.0024 0.0025 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] divider : 0.4909 0.5254 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] laundry detergent: 0.0589 0.0598 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] bathroom counter: 0.1552 0.1594 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] object : 0.0453 0.0863 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] bathroom vanity: 0.5256 0.7262 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] closet wall : 0.0675 0.1379 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] laundry hamper : 0.1021 0.1799 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] bathroom stall door: 0.5524 0.6220 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] ceiling light : 0.2288 0.4677 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] trash bin : 0.3559 0.4490 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] dumbbell : 0.0768 0.9905 +[2025-03-11 02:26:34,691 INFO hook.py line 689 2389709] stair rail : 0.0403 0.0441 +[2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] tube : 0.0227 0.0532 +[2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] bathroom cabinet: 0.3273 0.3741 +[2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] closet rod : 0.1116 0.8819 +[2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] shower head : 0.1042 0.3739 +[2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] keyboard piano : 0.0062 0.0087 +[2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] case of water bottles: 0.1285 0.1449 +[2025-03-11 02:26:34,692 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:26:34,693 INFO hook.py line 689 2389709] mattress : 0.0745 0.0815 +[2025-03-11 02:26:34,693 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:26:34,693 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2560/0.3820/0.7979. +[2025-03-11 02:26:34,694 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:26:34,714 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2745 +[2025-03-11 02:26:34,715 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:27:04,479 INFO hook.py line 566 2389709] Train: [24/100][50/300] Data 0.002 (0.003) Batch 0.539 (0.486) Remain 03:06:47 loss: 0.9934 Lr: 4.56231e-03 +[2025-03-11 02:27:29,655 INFO hook.py line 566 2389709] Train: [24/100][100/300] Data 0.002 (0.002) Batch 0.536 (0.495) Remain 03:09:48 loss: 1.1560 Lr: 4.55449e-03 +[2025-03-11 02:27:54,537 INFO hook.py line 566 2389709] Train: [24/100][150/300] Data 0.002 (0.002) Batch 0.551 (0.496) Remain 03:09:43 loss: 0.9919 Lr: 4.54661e-03 +[2025-03-11 02:28:19,146 INFO hook.py line 566 2389709] Train: [24/100][200/300] Data 0.002 (0.002) Batch 0.567 (0.495) Remain 03:08:56 loss: 0.8934 Lr: 4.53866e-03 +[2025-03-11 02:28:44,091 INFO hook.py line 566 2389709] Train: [24/100][250/300] Data 0.001 (0.002) Batch 0.481 (0.496) Remain 03:08:49 loss: 0.8659 Lr: 4.53066e-03 +[2025-03-11 02:29:08,291 INFO hook.py line 566 2389709] Train: [24/100][300/300] Data 0.002 (0.002) Batch 0.491 (0.494) Remain 03:07:39 loss: 0.6529 Lr: 4.52259e-03 +[2025-03-11 02:29:08,292 INFO misc.py line 135 2389709] Train result: loss: 0.9281 +[2025-03-11 02:29:08,403 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:30:02,284 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5825 +[2025-03-11 02:30:02,382 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1069 +[2025-03-11 02:30:02,418 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6770 +[2025-03-11 02:30:02,470 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4923 +[2025-03-11 02:30:02,504 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0339 +[2025-03-11 02:30:02,562 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8653 +[2025-03-11 02:30:02,618 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0893 +[2025-03-11 02:30:02,648 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2876 +[2025-03-11 02:30:02,698 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3291 +[2025-03-11 02:30:02,742 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0642 +[2025-03-11 02:30:02,794 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2309 +[2025-03-11 02:30:02,830 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1733 +[2025-03-11 02:30:02,884 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4736 +[2025-03-11 02:30:02,931 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.4870 +[2025-03-11 02:30:02,972 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9514 +[2025-03-11 02:30:03,022 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1700 +[2025-03-11 02:30:03,066 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.8902 +[2025-03-11 02:30:03,107 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7565 +[2025-03-11 02:30:03,153 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.6262 +[2025-03-11 02:30:03,189 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3148 +[2025-03-11 02:30:03,230 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6672 +[2025-03-11 02:30:03,274 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9273 +[2025-03-11 02:30:03,309 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2680 +[2025-03-11 02:30:03,362 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1397 +[2025-03-11 02:30:03,407 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.1458 +[2025-03-11 02:30:03,456 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2155 +[2025-03-11 02:30:03,510 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6057 +[2025-03-11 02:30:03,548 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5913 +[2025-03-11 02:30:03,582 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0483 +[2025-03-11 02:30:03,643 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4115 +[2025-03-11 02:30:03,703 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7015 +[2025-03-11 02:30:03,746 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2005 +[2025-03-11 02:30:03,807 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1087 +[2025-03-11 02:30:03,856 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.8981 +[2025-03-11 02:30:03,911 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1647 +[2025-03-11 02:30:03,960 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2993 +[2025-03-11 02:30:03,999 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3001 +[2025-03-11 02:30:04,044 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8188 +[2025-03-11 02:30:04,111 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0206 +[2025-03-11 02:30:04,164 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5762 +[2025-03-11 02:30:04,209 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.0799 +[2025-03-11 02:30:04,245 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6584 +[2025-03-11 02:30:04,286 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2177 +[2025-03-11 02:30:04,354 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9340 +[2025-03-11 02:30:04,391 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6495 +[2025-03-11 02:30:04,446 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9279 +[2025-03-11 02:30:04,487 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8816 +[2025-03-11 02:30:04,532 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1133 +[2025-03-11 02:30:04,572 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1793 +[2025-03-11 02:30:04,615 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7248 +[2025-03-11 02:30:04,647 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9409 +[2025-03-11 02:30:04,687 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6158 +[2025-03-11 02:30:04,725 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2439 +[2025-03-11 02:30:04,781 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8710 +[2025-03-11 02:30:04,823 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1355 +[2025-03-11 02:30:04,864 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1297 +[2025-03-11 02:30:04,903 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9342 +[2025-03-11 02:30:04,933 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2543 +[2025-03-11 02:30:04,975 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8026 +[2025-03-11 02:30:05,011 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5031 +[2025-03-11 02:30:05,039 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9371 +[2025-03-11 02:30:05,074 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0044 +[2025-03-11 02:30:05,116 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.8321 +[2025-03-11 02:30:05,173 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7093 +[2025-03-11 02:30:05,201 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2970 +[2025-03-11 02:30:05,249 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8344 +[2025-03-11 02:30:05,293 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1974 +[2025-03-11 02:30:05,334 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0688 +[2025-03-11 02:30:05,371 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4174 +[2025-03-11 02:30:05,439 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6570 +[2025-03-11 02:30:05,482 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4147 +[2025-03-11 02:30:05,536 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5612 +[2025-03-11 02:30:05,589 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5865 +[2025-03-11 02:30:05,636 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.9294 +[2025-03-11 02:30:05,688 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.9158 +[2025-03-11 02:30:05,727 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.5641 +[2025-03-11 02:30:05,786 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5886 +[2025-03-11 02:30:05,812 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9955 +[2025-03-11 02:30:07,093 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:30:07,093 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:30:07,093 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:30:07,093 INFO hook.py line 689 2389709] wall : 0.7653 0.8875 +[2025-03-11 02:30:07,093 INFO hook.py line 689 2389709] chair : 0.7453 0.9261 +[2025-03-11 02:30:07,093 INFO hook.py line 689 2389709] floor : 0.9550 0.9811 +[2025-03-11 02:30:07,093 INFO hook.py line 689 2389709] table : 0.5892 0.7537 +[2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] door : 0.5877 0.6596 +[2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] couch : 0.7500 0.8782 +[2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] cabinet : 0.2885 0.4237 +[2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] shelf : 0.3178 0.3992 +[2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] desk : 0.5472 0.7924 +[2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] office chair : 0.0001 0.0001 +[2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] bed : 0.7908 0.9089 +[2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] pillow : 0.5208 0.6575 +[2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] sink : 0.6144 0.7122 +[2025-03-11 02:30:07,094 INFO hook.py line 689 2389709] picture : 0.3432 0.4564 +[2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] window : 0.5003 0.8033 +[2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] toilet : 0.8545 0.9459 +[2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] bookshelf : 0.4161 0.6589 +[2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] monitor : 0.7777 0.9304 +[2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] curtain : 0.6222 0.8142 +[2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] book : 0.3970 0.7546 +[2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] armchair : 0.3933 0.4522 +[2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] coffee table : 0.5833 0.6948 +[2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] box : 0.2909 0.3551 +[2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] refrigerator : 0.5465 0.5695 +[2025-03-11 02:30:07,095 INFO hook.py line 689 2389709] lamp : 0.6682 0.7617 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] kitchen cabinet: 0.6879 0.8448 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] towel : 0.4409 0.5881 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] clothes : 0.1755 0.3483 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] tv : 0.7372 0.7813 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] nightstand : 0.6822 0.8532 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] counter : 0.2343 0.3109 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] dresser : 0.3229 0.4334 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] stool : 0.5127 0.7011 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] plant : 0.6018 0.8990 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] ceiling : 0.9195 0.9586 +[2025-03-11 02:30:07,096 INFO hook.py line 689 2389709] bathtub : 0.8340 0.9311 +[2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] end table : 0.1940 0.6584 +[2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] dining table : 0.0221 0.0320 +[2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] keyboard : 0.3796 0.5898 +[2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] bag : 0.1418 0.2763 +[2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] backpack : 0.5216 0.5591 +[2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] toilet paper : 0.3901 0.5009 +[2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] printer : 0.4354 0.5490 +[2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] tv stand : 0.6270 0.8454 +[2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] whiteboard : 0.4840 0.6816 +[2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] blanket : 0.0122 0.0127 +[2025-03-11 02:30:07,097 INFO hook.py line 689 2389709] shower curtain : 0.6768 0.7787 +[2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] trash can : 0.5873 0.7741 +[2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] closet : 0.0994 0.1245 +[2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] stairs : 0.3508 0.4366 +[2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] microwave : 0.4997 0.6831 +[2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] stove : 0.6133 0.8912 +[2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] shoe : 0.4211 0.5056 +[2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] computer tower : 0.6379 0.7730 +[2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] bottle : 0.1292 0.2187 +[2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 02:30:07,098 INFO hook.py line 689 2389709] ottoman : 0.2394 0.4487 +[2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] bench : 0.2074 0.2456 +[2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] board : 0.1701 0.2297 +[2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] washing machine: 0.6762 0.8111 +[2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] mirror : 0.2745 0.4553 +[2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] copier : 0.7376 0.8082 +[2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] basket : 0.0032 0.0087 +[2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] sofa chair : 0.1517 0.5167 +[2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] file cabinet : 0.4533 0.5269 +[2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] fan : 0.2145 0.3027 +[2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] laptop : 0.4387 0.5246 +[2025-03-11 02:30:07,099 INFO hook.py line 689 2389709] shower : 0.1344 0.1390 +[2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] paper : 0.0008 0.0008 +[2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] person : 0.2205 0.5619 +[2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] paper towel dispenser: 0.5533 0.6163 +[2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] oven : 0.0536 0.0874 +[2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] blackboard : 0.5176 0.6194 +[2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] piano : 0.3100 0.4352 +[2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] suitcase : 0.5599 0.7343 +[2025-03-11 02:30:07,100 INFO hook.py line 689 2389709] rail : 0.0190 0.0195 +[2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] radiator : 0.4921 0.6673 +[2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] recycling bin : 0.3931 0.5721 +[2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] wardrobe : 0.1295 0.1393 +[2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] soap dispenser : 0.7641 0.8976 +[2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] telephone : 0.3044 0.3853 +[2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] bucket : 0.3592 0.6181 +[2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] clock : 0.1978 0.2393 +[2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] light : 0.0039 0.0049 +[2025-03-11 02:30:07,101 INFO hook.py line 689 2389709] laundry basket : 0.0141 0.0153 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] pipe : 0.1342 0.2055 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] clothes dryer : 0.2572 0.2692 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] guitar : 0.1234 0.2510 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] seat : 0.0006 0.0007 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] column : 0.0790 0.3275 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] ladder : 0.4763 0.5077 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] bathroom stall : 0.4693 0.7004 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] shower wall : 0.4896 0.6565 +[2025-03-11 02:30:07,102 INFO hook.py line 689 2389709] cup : 0.1638 0.5317 +[2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] jacket : 0.0432 0.0445 +[2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] storage bin : 0.0148 0.0169 +[2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] coffee maker : 0.7018 0.9851 +[2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] dishwasher : 0.1934 0.2718 +[2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] paper towel roll: 0.3528 0.4627 +[2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] mat : 0.1110 0.1214 +[2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] windowsill : 0.1468 0.1745 +[2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] bar : 0.1499 0.1643 +[2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] toaster : 0.0032 0.0037 +[2025-03-11 02:30:07,103 INFO hook.py line 689 2389709] bulletin board : 0.1723 0.5243 +[2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] ironing board : 0.1043 0.1107 +[2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] fireplace : 0.5951 0.6610 +[2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] soap dish : 0.3840 0.5017 +[2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] kitchen counter: 0.5422 0.7834 +[2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] doorframe : 0.3922 0.5389 +[2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3437 0.4235 +[2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] mini fridge : 0.2472 0.2545 +[2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] ball : 0.4026 0.9565 +[2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:30:07,104 INFO hook.py line 689 2389709] shower curtain rod: 0.4034 0.8097 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] water cooler : 0.2665 0.2705 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] paper cutter : 0.1609 0.1746 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] shower door : 0.0945 0.1169 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] pillar : 0.0013 0.0013 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] ledge : 0.0290 0.0406 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] toaster oven : 0.0367 0.0370 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] mouse : 0.0752 0.3200 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5814 0.8335 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] cart : 0.0221 0.0227 +[2025-03-11 02:30:07,105 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] scale : 0.1190 0.7333 +[2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] tissue box : 0.0607 0.0773 +[2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] light switch : 0.0257 0.0559 +[2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] decoration : 0.0952 0.5027 +[2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] sign : 0.0096 0.0112 +[2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] projector : 0.1275 0.4221 +[2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] closet door : 0.0623 0.0724 +[2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] vacuum cleaner : 0.9132 0.9704 +[2025-03-11 02:30:07,106 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:30:07,107 INFO hook.py line 689 2389709] plunger : 0.3161 0.9842 +[2025-03-11 02:30:07,107 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:30:07,107 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:30:07,107 INFO hook.py line 689 2389709] dish rack : 0.5517 0.6226 +[2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] broom : 0.0045 0.0046 +[2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] range hood : 0.7068 0.8105 +[2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] dustpan : 0.0206 0.0288 +[2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] handicap bar : 0.0467 0.6243 +[2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:30:07,108 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] shower floor : 0.4702 0.8698 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] mailbox : 0.1440 0.1456 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] bowl : 0.1468 0.2398 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] paper bag : 0.0109 0.0124 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] divider : 0.3887 0.4249 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] laundry detergent: 0.0396 0.0401 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] bathroom counter: 0.2293 0.4020 +[2025-03-11 02:30:07,109 INFO hook.py line 689 2389709] object : 0.0283 0.0675 +[2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] bathroom vanity: 0.3890 0.6590 +[2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] closet wall : 0.0287 0.0343 +[2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] laundry hamper : 0.0243 0.0294 +[2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] bathroom stall door: 0.3964 0.4526 +[2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] ceiling light : 0.1965 0.2196 +[2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] trash bin : 0.2453 0.3040 +[2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] dumbbell : 0.2678 0.6708 +[2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] stair rail : 0.0004 0.0004 +[2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] tube : 0.0356 0.0680 +[2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] bathroom cabinet: 0.1653 0.3113 +[2025-03-11 02:30:07,110 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] closet rod : 0.7223 0.8123 +[2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] shower head : 0.2856 0.2963 +[2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:30:07,111 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] potted plant : 0.0002 0.0009 +[2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:30:07,112 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 02:30:07,112 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:30:07,112 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2594/0.3570/0.7945. +[2025-03-11 02:30:07,113 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:30:07,133 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2745 +[2025-03-11 02:30:07,133 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:30:37,771 INFO hook.py line 566 2389709] Train: [25/100][50/300] Data 0.003 (0.002) Batch 0.472 (0.486) Remain 03:04:13 loss: 1.1757 Lr: 4.51446e-03 +[2025-03-11 02:31:02,325 INFO hook.py line 566 2389709] Train: [25/100][100/300] Data 0.002 (0.002) Batch 0.590 (0.489) Remain 03:04:49 loss: 0.9843 Lr: 4.50627e-03 +[2025-03-11 02:31:27,060 INFO hook.py line 566 2389709] Train: [25/100][150/300] Data 0.002 (0.002) Batch 0.521 (0.491) Remain 03:05:13 loss: 0.9660 Lr: 4.49802e-03 +[2025-03-11 02:31:51,347 INFO hook.py line 566 2389709] Train: [25/100][200/300] Data 0.002 (0.002) Batch 0.436 (0.489) Remain 03:04:20 loss: 0.7835 Lr: 4.48971e-03 +[2025-03-11 02:32:15,827 INFO hook.py line 566 2389709] Train: [25/100][250/300] Data 0.003 (0.002) Batch 0.494 (0.489) Remain 03:03:56 loss: 1.0104 Lr: 4.48134e-03 +[2025-03-11 02:32:39,732 INFO hook.py line 566 2389709] Train: [25/100][300/300] Data 0.002 (0.002) Batch 0.449 (0.488) Remain 03:02:49 loss: 0.8460 Lr: 4.47290e-03 +[2025-03-11 02:32:39,732 INFO misc.py line 135 2389709] Train result: loss: 0.9621 +[2025-03-11 02:32:39,820 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:33:33,024 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4864 +[2025-03-11 02:33:33,076 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4833 +[2025-03-11 02:33:33,122 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6054 +[2025-03-11 02:33:33,171 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4865 +[2025-03-11 02:33:33,214 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0097 +[2025-03-11 02:33:33,274 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8730 +[2025-03-11 02:33:33,326 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8422 +[2025-03-11 02:33:33,353 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2845 +[2025-03-11 02:33:33,399 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4372 +[2025-03-11 02:33:33,437 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.8654 +[2025-03-11 02:33:33,489 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2948 +[2025-03-11 02:33:33,537 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9530 +[2025-03-11 02:33:33,585 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5890 +[2025-03-11 02:33:33,624 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1189 +[2025-03-11 02:33:33,660 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0926 +[2025-03-11 02:33:33,710 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4523 +[2025-03-11 02:33:33,754 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1336 +[2025-03-11 02:33:33,791 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8075 +[2025-03-11 02:33:33,835 INFO hook.py line 748 2389709] Test: [19/78] Loss 1.7424 +[2025-03-11 02:33:33,876 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5433 +[2025-03-11 02:33:33,911 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.5732 +[2025-03-11 02:33:33,964 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6869 +[2025-03-11 02:33:33,996 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3227 +[2025-03-11 02:33:34,045 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9782 +[2025-03-11 02:33:34,100 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4125 +[2025-03-11 02:33:34,147 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1399 +[2025-03-11 02:33:34,204 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5423 +[2025-03-11 02:33:34,244 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9082 +[2025-03-11 02:33:34,293 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8494 +[2025-03-11 02:33:34,361 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3859 +[2025-03-11 02:33:34,419 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6459 +[2025-03-11 02:33:34,456 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2149 +[2025-03-11 02:33:34,517 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9312 +[2025-03-11 02:33:34,559 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.5737 +[2025-03-11 02:33:34,599 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2705 +[2025-03-11 02:33:34,644 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4108 +[2025-03-11 02:33:34,688 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6903 +[2025-03-11 02:33:34,723 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8380 +[2025-03-11 02:33:34,791 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6471 +[2025-03-11 02:33:34,840 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6796 +[2025-03-11 02:33:34,885 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2394 +[2025-03-11 02:33:34,917 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4475 +[2025-03-11 02:33:34,954 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9694 +[2025-03-11 02:33:35,027 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8978 +[2025-03-11 02:33:35,060 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.8627 +[2025-03-11 02:33:35,113 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0845 +[2025-03-11 02:33:35,154 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.4586 +[2025-03-11 02:33:35,199 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.4395 +[2025-03-11 02:33:35,234 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5123 +[2025-03-11 02:33:35,267 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7563 +[2025-03-11 02:33:35,298 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.7162 +[2025-03-11 02:33:35,338 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5095 +[2025-03-11 02:33:35,365 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3540 +[2025-03-11 02:33:35,404 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9847 +[2025-03-11 02:33:35,442 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3573 +[2025-03-11 02:33:35,487 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1310 +[2025-03-11 02:33:35,525 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6443 +[2025-03-11 02:33:35,552 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1447 +[2025-03-11 02:33:35,594 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7399 +[2025-03-11 02:33:35,630 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4968 +[2025-03-11 02:33:35,657 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9852 +[2025-03-11 02:33:35,692 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9900 +[2025-03-11 02:33:35,733 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.5616 +[2025-03-11 02:33:35,794 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8521 +[2025-03-11 02:33:35,822 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1255 +[2025-03-11 02:33:35,866 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.3879 +[2025-03-11 02:33:35,908 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9892 +[2025-03-11 02:33:35,944 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0180 +[2025-03-11 02:33:35,974 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4162 +[2025-03-11 02:33:36,035 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7048 +[2025-03-11 02:33:36,082 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.2567 +[2025-03-11 02:33:36,136 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6188 +[2025-03-11 02:33:36,190 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7511 +[2025-03-11 02:33:36,233 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2199 +[2025-03-11 02:33:36,285 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6371 +[2025-03-11 02:33:36,315 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7094 +[2025-03-11 02:33:36,373 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7592 +[2025-03-11 02:33:36,404 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8971 +[2025-03-11 02:33:37,691 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:33:37,691 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:33:37,691 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:33:37,691 INFO hook.py line 689 2389709] wall : 0.7714 0.9027 +[2025-03-11 02:33:37,691 INFO hook.py line 689 2389709] chair : 0.7520 0.9000 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] floor : 0.9564 0.9793 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] table : 0.6310 0.7791 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] door : 0.6247 0.8194 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] couch : 0.7528 0.9419 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] cabinet : 0.2948 0.4569 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] shelf : 0.4504 0.6530 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] desk : 0.5615 0.8057 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] office chair : 0.0463 0.0498 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] bed : 0.7762 0.8345 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] pillow : 0.4880 0.6864 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] sink : 0.6186 0.7065 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] picture : 0.3194 0.4346 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] window : 0.5239 0.6101 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] toilet : 0.8819 0.9528 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] bookshelf : 0.4570 0.5612 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] monitor : 0.8615 0.9163 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] curtain : 0.6798 0.8014 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] book : 0.4427 0.6654 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] armchair : 0.5133 0.6423 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] coffee table : 0.7163 0.8524 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] box : 0.2786 0.3687 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] refrigerator : 0.6225 0.7348 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] lamp : 0.6316 0.7804 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] kitchen cabinet: 0.6210 0.8380 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] towel : 0.3333 0.6777 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] clothes : 0.2351 0.3889 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] tv : 0.8464 0.8768 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] nightstand : 0.6944 0.7755 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] counter : 0.2693 0.4299 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] dresser : 0.2674 0.3286 +[2025-03-11 02:33:37,692 INFO hook.py line 689 2389709] stool : 0.5152 0.6424 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] plant : 0.7429 0.8054 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] ceiling : 0.9156 0.9615 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] bathtub : 0.8307 0.8978 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] end table : 0.1562 0.2279 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] dining table : 0.0258 0.0285 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] keyboard : 0.4236 0.5379 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] bag : 0.1472 0.1883 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] backpack : 0.5424 0.7286 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] toilet paper : 0.4290 0.5362 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] printer : 0.4531 0.7091 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] tv stand : 0.3603 0.3617 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] whiteboard : 0.4221 0.4933 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] blanket : 0.0700 0.0926 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] shower curtain : 0.6410 0.7921 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] trash can : 0.6132 0.7673 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] closet : 0.1014 0.1427 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] stairs : 0.5907 0.6473 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] microwave : 0.4763 0.7478 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] stove : 0.5963 0.8678 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] shoe : 0.4333 0.5486 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] computer tower : 0.5636 0.8222 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] bottle : 0.1129 0.1799 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] ottoman : 0.4982 0.6197 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] bench : 0.2377 0.2793 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] board : 0.1868 0.3639 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] washing machine: 0.6772 0.7276 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] mirror : 0.3572 0.4345 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] copier : 0.7970 0.9151 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] sofa chair : 0.1749 0.2719 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] file cabinet : 0.3956 0.8184 +[2025-03-11 02:33:37,693 INFO hook.py line 689 2389709] fan : 0.3286 0.3514 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] laptop : 0.4662 0.6381 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] shower : 0.2893 0.3360 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] paper : 0.1016 0.1481 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] person : 0.1938 0.3566 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] paper towel dispenser: 0.4536 0.9465 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] oven : 0.0696 0.0745 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] blinds : 0.0248 0.0260 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] blackboard : 0.5804 0.6276 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] piano : 0.4112 0.4636 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] suitcase : 0.5661 0.7313 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] rail : 0.0108 0.0112 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] radiator : 0.6020 0.6802 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] recycling bin : 0.5037 0.6186 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] container : 0.0009 0.0009 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] wardrobe : 0.1421 0.3238 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] soap dispenser : 0.8051 0.8278 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] telephone : 0.2959 0.3771 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] bucket : 0.3014 0.5871 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] clock : 0.1661 0.2634 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] light : 0.1679 0.1872 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] laundry basket : 0.0331 0.0378 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] pipe : 0.0492 0.1639 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] clothes dryer : 0.5143 0.6476 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] guitar : 0.2205 0.2847 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] toilet paper holder: 0.0021 0.0039 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] column : 0.0534 0.1274 +[2025-03-11 02:33:37,694 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] ladder : 0.4969 0.6606 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] bathroom stall : 0.3690 0.4468 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] shower wall : 0.5050 0.6490 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] cup : 0.1635 0.3406 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] jacket : 0.1188 0.2073 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] coffee maker : 0.7863 0.9559 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] dishwasher : 0.2274 0.6980 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] paper towel roll: 0.2020 0.2820 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] mat : 0.0553 0.0579 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] windowsill : 0.1154 0.1185 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] bar : 0.1542 0.2530 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] toaster : 0.0389 0.2801 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] bulletin board : 0.1331 0.7048 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] ironing board : 0.0730 0.0882 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] fireplace : 0.0686 0.0691 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] soap dish : 0.3808 0.5273 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] kitchen counter: 0.5634 0.7261 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] doorframe : 0.3259 0.6957 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4075 0.5217 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] mini fridge : 0.2383 0.2482 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] fire extinguisher: 0.0578 0.0711 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] ball : 0.7310 0.9058 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] shower curtain rod: 0.3602 0.8195 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] water cooler : 0.5243 0.5252 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] paper cutter : 0.1798 0.2278 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] tray : 0.0088 0.0127 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] shower door : 0.1033 0.1410 +[2025-03-11 02:33:37,695 INFO hook.py line 689 2389709] pillar : 0.0309 0.0351 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] ledge : 0.0290 0.0342 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] toaster oven : 0.0325 0.0338 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] mouse : 0.0545 0.2124 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6619 0.7677 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] cart : 0.0405 0.0419 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] scale : 0.1194 0.9539 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] tissue box : 0.1142 0.1376 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] light switch : 0.0336 0.3938 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] power outlet : 0.0080 0.0081 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] decoration : 0.2057 0.2913 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] sign : 0.0155 0.0518 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] projector : 0.1076 0.9897 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] closet door : 0.0875 0.1185 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] vacuum cleaner : 0.8370 0.9637 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] plunger : 0.3947 0.9937 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] dish rack : 0.7854 0.8773 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] broom : 0.0274 0.0384 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] range hood : 0.7134 0.8745 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] dustpan : 0.0648 0.1543 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] hair dryer : 0.0005 0.0020 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] handicap bar : 0.0480 0.8846 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:33:37,696 INFO hook.py line 689 2389709] shower floor : 0.6228 0.9822 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] mailbox : 0.2054 0.2124 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] bowl : 0.0171 0.0213 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] paper bag : 0.0499 0.1895 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] projector screen: 0.0433 0.0823 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] divider : 0.4399 0.4772 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] bathroom counter: 0.2455 0.3345 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] object : 0.0447 0.1068 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] bathroom vanity: 0.4537 0.8477 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] closet wall : 0.0944 0.1633 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] laundry hamper : 0.1342 0.2269 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] bathroom stall door: 0.4206 0.7533 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] ceiling light : 0.3490 0.6056 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] trash bin : 0.3624 0.5011 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] dumbbell : 0.7352 0.9780 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] stair rail : 0.1903 0.2183 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] tube : 0.0538 0.0921 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] bathroom cabinet: 0.1359 0.1883 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] closet rod : 0.2312 0.5840 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] coffee kettle : 0.0737 0.1202 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] shower head : 0.1869 0.3402 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] case of water bottles: 0.0712 0.0717 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:33:37,697 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] potted plant : 0.0114 0.0151 +[2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:33:37,698 INFO hook.py line 689 2389709] mattress : 0.0235 0.0237 +[2025-03-11 02:33:37,698 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:33:37,698 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2788/0.3869/0.8059. +[2025-03-11 02:33:37,698 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:33:37,715 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2788 +[2025-03-11 02:33:37,716 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2788 +[2025-03-11 02:33:37,716 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:34:08,049 INFO hook.py line 566 2389709] Train: [26/100][50/300] Data 0.001 (0.002) Batch 0.537 (0.492) Remain 03:04:04 loss: 1.0282 Lr: 4.46441e-03 +[2025-03-11 02:34:32,581 INFO hook.py line 566 2389709] Train: [26/100][100/300] Data 0.002 (0.002) Batch 0.472 (0.491) Remain 03:03:24 loss: 0.9962 Lr: 4.45586e-03 +[2025-03-11 02:34:57,024 INFO hook.py line 566 2389709] Train: [26/100][150/300] Data 0.002 (0.002) Batch 0.520 (0.490) Remain 03:02:41 loss: 0.7785 Lr: 4.44725e-03 +[2025-03-11 02:35:21,962 INFO hook.py line 566 2389709] Train: [26/100][200/300] Data 0.002 (0.002) Batch 0.467 (0.493) Remain 03:03:04 loss: 0.9306 Lr: 4.43858e-03 +[2025-03-11 02:35:46,744 INFO hook.py line 566 2389709] Train: [26/100][250/300] Data 0.002 (0.002) Batch 0.541 (0.493) Remain 03:02:53 loss: 0.9051 Lr: 4.42985e-03 +[2025-03-11 02:36:10,905 INFO hook.py line 566 2389709] Train: [26/100][300/300] Data 0.001 (0.002) Batch 0.516 (0.492) Remain 03:01:51 loss: 0.8363 Lr: 4.42106e-03 +[2025-03-11 02:36:10,905 INFO misc.py line 135 2389709] Train result: loss: 0.9240 +[2025-03-11 02:36:10,993 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:37:01,114 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5579 +[2025-03-11 02:37:01,172 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2524 +[2025-03-11 02:37:01,208 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8800 +[2025-03-11 02:37:01,258 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4801 +[2025-03-11 02:37:01,295 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0570 +[2025-03-11 02:37:01,352 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3838 +[2025-03-11 02:37:01,407 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0679 +[2025-03-11 02:37:01,437 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2104 +[2025-03-11 02:37:01,483 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2773 +[2025-03-11 02:37:01,535 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.6543 +[2025-03-11 02:37:01,587 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2868 +[2025-03-11 02:37:01,620 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0659 +[2025-03-11 02:37:01,668 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6131 +[2025-03-11 02:37:01,718 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.0551 +[2025-03-11 02:37:01,763 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4200 +[2025-03-11 02:37:01,812 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1807 +[2025-03-11 02:37:01,850 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.8809 +[2025-03-11 02:37:01,885 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.2621 +[2025-03-11 02:37:01,933 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5768 +[2025-03-11 02:37:01,966 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4309 +[2025-03-11 02:37:02,001 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8551 +[2025-03-11 02:37:02,042 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5946 +[2025-03-11 02:37:02,071 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4172 +[2025-03-11 02:37:02,141 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2232 +[2025-03-11 02:37:02,183 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9341 +[2025-03-11 02:37:02,231 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1199 +[2025-03-11 02:37:02,285 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.3472 +[2025-03-11 02:37:02,322 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9109 +[2025-03-11 02:37:02,357 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.3245 +[2025-03-11 02:37:02,416 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4050 +[2025-03-11 02:37:02,474 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4555 +[2025-03-11 02:37:02,512 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6616 +[2025-03-11 02:37:02,576 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9745 +[2025-03-11 02:37:02,617 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2400 +[2025-03-11 02:37:02,657 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1104 +[2025-03-11 02:37:02,702 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5663 +[2025-03-11 02:37:02,741 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7123 +[2025-03-11 02:37:02,770 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8761 +[2025-03-11 02:37:02,838 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1544 +[2025-03-11 02:37:02,884 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2561 +[2025-03-11 02:37:02,943 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3927 +[2025-03-11 02:37:02,973 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4542 +[2025-03-11 02:37:03,017 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3970 +[2025-03-11 02:37:03,076 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0538 +[2025-03-11 02:37:03,128 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2924 +[2025-03-11 02:37:03,177 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2284 +[2025-03-11 02:37:03,219 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.4876 +[2025-03-11 02:37:03,256 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1045 +[2025-03-11 02:37:03,288 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5036 +[2025-03-11 02:37:03,321 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5049 +[2025-03-11 02:37:03,355 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0996 +[2025-03-11 02:37:03,392 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6702 +[2025-03-11 02:37:03,423 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1181 +[2025-03-11 02:37:03,459 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3974 +[2025-03-11 02:37:03,497 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2420 +[2025-03-11 02:37:03,538 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1518 +[2025-03-11 02:37:03,572 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5407 +[2025-03-11 02:37:03,598 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0238 +[2025-03-11 02:37:03,639 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7158 +[2025-03-11 02:37:03,680 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6660 +[2025-03-11 02:37:03,709 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.1338 +[2025-03-11 02:37:03,749 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0101 +[2025-03-11 02:37:03,786 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1887 +[2025-03-11 02:37:03,843 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5927 +[2025-03-11 02:37:03,875 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.9928 +[2025-03-11 02:37:03,918 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6104 +[2025-03-11 02:37:03,958 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1030 +[2025-03-11 02:37:03,999 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.6845 +[2025-03-11 02:37:04,031 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3670 +[2025-03-11 02:37:04,093 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.5915 +[2025-03-11 02:37:04,137 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4109 +[2025-03-11 02:37:04,194 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5089 +[2025-03-11 02:37:04,251 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7530 +[2025-03-11 02:37:04,296 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.3046 +[2025-03-11 02:37:04,348 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4156 +[2025-03-11 02:37:04,377 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6109 +[2025-03-11 02:37:04,439 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7369 +[2025-03-11 02:37:04,465 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8695 +[2025-03-11 02:37:05,819 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:37:05,820 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:37:05,820 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] wall : 0.7665 0.8694 +[2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] chair : 0.7315 0.8954 +[2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] floor : 0.9530 0.9856 +[2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] table : 0.6053 0.8166 +[2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] door : 0.6125 0.7306 +[2025-03-11 02:37:05,820 INFO hook.py line 689 2389709] couch : 0.7393 0.8742 +[2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] cabinet : 0.2677 0.4848 +[2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] shelf : 0.3880 0.5157 +[2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] desk : 0.4746 0.5757 +[2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] office chair : 0.1283 0.1484 +[2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] bed : 0.7617 0.8598 +[2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] pillow : 0.5022 0.6928 +[2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] sink : 0.5755 0.7830 +[2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] picture : 0.3267 0.5286 +[2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] window : 0.5374 0.7677 +[2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] toilet : 0.9260 0.9695 +[2025-03-11 02:37:05,821 INFO hook.py line 689 2389709] bookshelf : 0.4301 0.5243 +[2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] monitor : 0.8225 0.8891 +[2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] curtain : 0.6870 0.8096 +[2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] book : 0.4242 0.6745 +[2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] armchair : 0.3883 0.4634 +[2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] coffee table : 0.6442 0.8654 +[2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] box : 0.2975 0.4327 +[2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] refrigerator : 0.6140 0.7620 +[2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] lamp : 0.6565 0.7717 +[2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] kitchen cabinet: 0.5386 0.7116 +[2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] towel : 0.4841 0.6121 +[2025-03-11 02:37:05,822 INFO hook.py line 689 2389709] clothes : 0.1720 0.3331 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] tv : 0.6937 0.9250 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] nightstand : 0.6577 0.7375 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] counter : 0.2090 0.2720 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] dresser : 0.3570 0.5216 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] stool : 0.5083 0.7018 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] plant : 0.6079 0.9136 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] ceiling : 0.9220 0.9709 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] bathtub : 0.8328 0.8530 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] end table : 0.1494 0.2323 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 02:37:05,823 INFO hook.py line 689 2389709] keyboard : 0.3943 0.6198 +[2025-03-11 02:37:05,827 INFO hook.py line 689 2389709] bag : 0.2015 0.2533 +[2025-03-11 02:37:05,827 INFO hook.py line 689 2389709] backpack : 0.4793 0.7977 +[2025-03-11 02:37:05,827 INFO hook.py line 689 2389709] toilet paper : 0.4392 0.6125 +[2025-03-11 02:37:05,827 INFO hook.py line 689 2389709] printer : 0.3931 0.7194 +[2025-03-11 02:37:05,827 INFO hook.py line 689 2389709] tv stand : 0.3355 0.9401 +[2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] whiteboard : 0.3438 0.6627 +[2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] blanket : 0.0239 0.0250 +[2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] shower curtain : 0.6075 0.7090 +[2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] trash can : 0.6374 0.7873 +[2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] closet : 0.0716 0.1026 +[2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] stairs : 0.5482 0.7083 +[2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] microwave : 0.4545 0.6043 +[2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] stove : 0.6020 0.8448 +[2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] shoe : 0.4537 0.6504 +[2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] computer tower : 0.4352 0.7496 +[2025-03-11 02:37:05,828 INFO hook.py line 689 2389709] bottle : 0.1626 0.3146 +[2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] ottoman : 0.3588 0.4733 +[2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] bench : 0.2885 0.3522 +[2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] board : 0.1149 0.2317 +[2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] washing machine: 0.7817 0.8367 +[2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] mirror : 0.3109 0.3626 +[2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] copier : 0.7351 0.8539 +[2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] sofa chair : 0.1780 0.5909 +[2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] file cabinet : 0.3140 0.6219 +[2025-03-11 02:37:05,829 INFO hook.py line 689 2389709] fan : 0.3321 0.5443 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] laptop : 0.5104 0.5793 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] shower : 0.2531 0.2782 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] paper : 0.0469 0.0550 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] person : 0.3063 0.4894 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] paper towel dispenser: 0.5276 0.7918 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] oven : 0.0302 0.1352 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] blinds : 0.0148 0.0161 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] blackboard : 0.4694 0.7547 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] piano : 0.3932 0.4122 +[2025-03-11 02:37:05,830 INFO hook.py line 689 2389709] suitcase : 0.4608 0.6837 +[2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] rail : 0.0528 0.0598 +[2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] radiator : 0.5965 0.7121 +[2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] recycling bin : 0.4782 0.6338 +[2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] container : 0.0289 0.0944 +[2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] wardrobe : 0.1043 0.1073 +[2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] soap dispenser : 0.7228 0.9207 +[2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] telephone : 0.2833 0.6722 +[2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] bucket : 0.2018 0.7368 +[2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] clock : 0.1792 0.3292 +[2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:37:05,831 INFO hook.py line 689 2389709] light : 0.0234 0.0288 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] laundry basket : 0.0926 0.1597 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] pipe : 0.0797 0.1500 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] clothes dryer : 0.4059 0.4263 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] guitar : 0.4586 0.8532 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] toilet paper holder: 0.0178 0.1111 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] column : 0.0693 0.0833 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] ladder : 0.6528 0.7326 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] bathroom stall : 0.3628 0.4654 +[2025-03-11 02:37:05,832 INFO hook.py line 689 2389709] shower wall : 0.4829 0.6701 +[2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] cup : 0.2386 0.6057 +[2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] jacket : 0.1731 0.2209 +[2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] storage bin : 0.0275 0.0380 +[2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] coffee maker : 0.5568 0.9836 +[2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] dishwasher : 0.2060 0.4086 +[2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] paper towel roll: 0.0477 0.0477 +[2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] mat : 0.2593 0.3355 +[2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] windowsill : 0.1110 0.1172 +[2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] bar : 0.1115 0.1685 +[2025-03-11 02:37:05,833 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] bulletin board : 0.1781 0.3613 +[2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] ironing board : 0.0494 0.0536 +[2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] fireplace : 0.4674 0.4763 +[2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] soap dish : 0.3130 0.5291 +[2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] kitchen counter: 0.4785 0.5718 +[2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] doorframe : 0.3861 0.5272 +[2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3451 0.4660 +[2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] mini fridge : 0.2285 0.2504 +[2025-03-11 02:37:05,834 INFO hook.py line 689 2389709] fire extinguisher: 0.0499 0.1415 +[2025-03-11 02:37:05,836 INFO hook.py line 689 2389709] ball : 0.2394 0.9410 +[2025-03-11 02:37:05,836 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] shower curtain rod: 0.3684 0.7464 +[2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] water cooler : 0.5220 0.7111 +[2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] paper cutter : 0.2175 0.2772 +[2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] tray : 0.0241 0.0499 +[2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] shower door : 0.1502 0.2197 +[2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] pillar : 0.0666 0.0795 +[2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] ledge : 0.0256 0.0279 +[2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] toaster oven : 0.1899 0.1912 +[2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] mouse : 0.0594 0.2398 +[2025-03-11 02:37:05,837 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6206 0.8670 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] cart : 0.1242 0.1508 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] scale : 0.5058 0.9121 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] tissue box : 0.1261 0.1556 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] light switch : 0.0739 0.2270 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] power outlet : 0.0398 0.0502 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] decoration : 0.1014 0.6471 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] projector : 0.1907 1.0000 +[2025-03-11 02:37:05,838 INFO hook.py line 689 2389709] closet door : 0.1760 0.2265 +[2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] vacuum cleaner : 0.7035 0.9914 +[2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] plunger : 0.4642 0.9904 +[2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] dish rack : 0.3934 0.4754 +[2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] broom : 0.0643 0.1719 +[2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] range hood : 0.7049 0.8915 +[2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] dustpan : 0.0495 0.1105 +[2025-03-11 02:37:05,839 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] handicap bar : 0.0579 0.4743 +[2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] shower floor : 0.7733 0.8564 +[2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] mailbox : 0.4326 0.5117 +[2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] bowl : 0.0009 0.0016 +[2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] paper bag : 0.1186 0.2387 +[2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:37:05,840 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] projector screen: 0.0049 0.0056 +[2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] divider : 0.4322 0.4998 +[2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] bathroom counter: 0.1229 0.1277 +[2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] object : 0.0249 0.0400 +[2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] bathroom vanity: 0.4482 0.7372 +[2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] closet wall : 0.0379 0.0951 +[2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] laundry hamper : 0.0001 0.0002 +[2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] bathroom stall door: 0.4869 0.7760 +[2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] ceiling light : 0.3655 0.4378 +[2025-03-11 02:37:05,841 INFO hook.py line 689 2389709] trash bin : 0.3234 0.4156 +[2025-03-11 02:37:05,842 INFO hook.py line 689 2389709] dumbbell : 0.1507 0.9687 +[2025-03-11 02:37:05,842 INFO hook.py line 689 2389709] stair rail : 0.2227 0.2869 +[2025-03-11 02:37:05,842 INFO hook.py line 689 2389709] tube : 0.0980 0.1427 +[2025-03-11 02:37:05,842 INFO hook.py line 689 2389709] bathroom cabinet: 0.1811 0.2238 +[2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] closet rod : 0.1963 0.5712 +[2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] shower head : 0.1759 0.2727 +[2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] case of water bottles: 0.0073 0.0073 +[2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] coat rack : 0.0170 0.0622 +[2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:37:05,843 INFO hook.py line 689 2389709] fire alarm : 0.0543 0.8095 +[2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:37:05,844 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 02:37:05,844 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:37:05,844 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2693/0.3940/0.7953. +[2025-03-11 02:37:05,845 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:37:05,860 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2788 +[2025-03-11 02:37:05,860 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:37:35,701 INFO hook.py line 566 2389709] Train: [27/100][50/300] Data 0.002 (0.002) Batch 0.483 (0.493) Remain 03:01:54 loss: 0.7095 Lr: 4.41221e-03 +[2025-03-11 02:38:00,424 INFO hook.py line 566 2389709] Train: [27/100][100/300] Data 0.003 (0.002) Batch 0.506 (0.494) Remain 03:01:49 loss: 1.1774 Lr: 4.40331e-03 +[2025-03-11 02:38:25,286 INFO hook.py line 566 2389709] Train: [27/100][150/300] Data 0.002 (0.002) Batch 0.499 (0.495) Remain 03:01:51 loss: 0.9203 Lr: 4.39435e-03 +[2025-03-11 02:38:49,684 INFO hook.py line 566 2389709] Train: [27/100][200/300] Data 0.002 (0.002) Batch 0.467 (0.493) Remain 03:00:48 loss: 0.5208 Lr: 4.38533e-03 +[2025-03-11 02:39:14,246 INFO hook.py line 566 2389709] Train: [27/100][250/300] Data 0.002 (0.002) Batch 0.534 (0.493) Remain 03:00:15 loss: 0.9744 Lr: 4.37643e-03 +[2025-03-11 02:39:38,469 INFO hook.py line 566 2389709] Train: [27/100][300/300] Data 0.001 (0.002) Batch 0.432 (0.491) Remain 02:59:20 loss: 0.8618 Lr: 4.36730e-03 +[2025-03-11 02:39:38,469 INFO misc.py line 135 2389709] Train result: loss: 0.9091 +[2025-03-11 02:39:38,567 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:40:33,982 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4781 +[2025-03-11 02:40:34,034 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1725 +[2025-03-11 02:40:34,073 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8333 +[2025-03-11 02:40:34,121 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4995 +[2025-03-11 02:40:34,168 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.4073 +[2025-03-11 02:40:34,235 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.6510 +[2025-03-11 02:40:34,291 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9659 +[2025-03-11 02:40:34,318 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3671 +[2025-03-11 02:40:34,368 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4356 +[2025-03-11 02:40:34,413 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0789 +[2025-03-11 02:40:34,464 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3450 +[2025-03-11 02:40:34,497 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9198 +[2025-03-11 02:40:34,549 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.6308 +[2025-03-11 02:40:34,594 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.3438 +[2025-03-11 02:40:34,633 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.7645 +[2025-03-11 02:40:34,695 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3414 +[2025-03-11 02:40:34,739 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3068 +[2025-03-11 02:40:34,777 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8668 +[2025-03-11 02:40:34,825 INFO hook.py line 748 2389709] Test: [19/78] Loss 1.9765 +[2025-03-11 02:40:34,862 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5310 +[2025-03-11 02:40:34,902 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6403 +[2025-03-11 02:40:34,953 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9237 +[2025-03-11 02:40:34,988 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7177 +[2025-03-11 02:40:35,039 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2208 +[2025-03-11 02:40:35,084 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.5108 +[2025-03-11 02:40:35,133 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.6604 +[2025-03-11 02:40:35,189 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9132 +[2025-03-11 02:40:35,237 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6007 +[2025-03-11 02:40:35,276 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0124 +[2025-03-11 02:40:35,350 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.2305 +[2025-03-11 02:40:35,412 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8222 +[2025-03-11 02:40:35,454 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5810 +[2025-03-11 02:40:35,524 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9210 +[2025-03-11 02:40:35,569 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.5489 +[2025-03-11 02:40:35,610 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2951 +[2025-03-11 02:40:35,653 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5532 +[2025-03-11 02:40:35,691 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.5156 +[2025-03-11 02:40:35,741 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.5050 +[2025-03-11 02:40:35,807 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2373 +[2025-03-11 02:40:35,859 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.7333 +[2025-03-11 02:40:35,914 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3973 +[2025-03-11 02:40:35,949 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4424 +[2025-03-11 02:40:35,989 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1336 +[2025-03-11 02:40:36,047 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0624 +[2025-03-11 02:40:36,089 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3986 +[2025-03-11 02:40:36,140 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.7719 +[2025-03-11 02:40:36,181 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9473 +[2025-03-11 02:40:36,216 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3536 +[2025-03-11 02:40:36,251 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6828 +[2025-03-11 02:40:36,289 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9485 +[2025-03-11 02:40:36,320 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9753 +[2025-03-11 02:40:36,355 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8396 +[2025-03-11 02:40:36,383 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3186 +[2025-03-11 02:40:36,423 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8606 +[2025-03-11 02:40:36,466 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2821 +[2025-03-11 02:40:36,510 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0066 +[2025-03-11 02:40:36,548 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6699 +[2025-03-11 02:40:36,579 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1037 +[2025-03-11 02:40:36,618 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0780 +[2025-03-11 02:40:36,653 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7351 +[2025-03-11 02:40:36,680 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0942 +[2025-03-11 02:40:36,714 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0677 +[2025-03-11 02:40:36,753 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9682 +[2025-03-11 02:40:36,812 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6912 +[2025-03-11 02:40:36,840 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2412 +[2025-03-11 02:40:36,888 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6758 +[2025-03-11 02:40:36,928 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1047 +[2025-03-11 02:40:36,966 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8398 +[2025-03-11 02:40:37,002 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2950 +[2025-03-11 02:40:37,067 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8586 +[2025-03-11 02:40:37,113 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7803 +[2025-03-11 02:40:37,167 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6088 +[2025-03-11 02:40:37,221 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6862 +[2025-03-11 02:40:37,269 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.7574 +[2025-03-11 02:40:37,324 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4965 +[2025-03-11 02:40:37,356 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9949 +[2025-03-11 02:40:37,415 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5802 +[2025-03-11 02:40:37,441 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3206 +[2025-03-11 02:40:38,635 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:40:38,636 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:40:38,636 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] wall : 0.7362 0.9564 +[2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] chair : 0.7325 0.8583 +[2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] floor : 0.9521 0.9792 +[2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] table : 0.5723 0.8099 +[2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] door : 0.5486 0.6086 +[2025-03-11 02:40:38,636 INFO hook.py line 689 2389709] couch : 0.6236 0.9384 +[2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] cabinet : 0.2861 0.4207 +[2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] shelf : 0.3279 0.3932 +[2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] desk : 0.4420 0.5074 +[2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] office chair : 0.0952 0.1219 +[2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] bed : 0.7723 0.8611 +[2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] pillow : 0.4718 0.5870 +[2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] sink : 0.6109 0.7071 +[2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] picture : 0.3191 0.3757 +[2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] window : 0.4906 0.6405 +[2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] toilet : 0.9053 0.9396 +[2025-03-11 02:40:38,637 INFO hook.py line 689 2389709] bookshelf : 0.4461 0.5782 +[2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] monitor : 0.7806 0.8180 +[2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] curtain : 0.6390 0.7143 +[2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] book : 0.4056 0.7285 +[2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] armchair : 0.0892 0.0896 +[2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] coffee table : 0.3393 0.3608 +[2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] box : 0.3048 0.4610 +[2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] refrigerator : 0.6164 0.7008 +[2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] lamp : 0.6327 0.7442 +[2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] kitchen cabinet: 0.6447 0.8439 +[2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] towel : 0.4330 0.5982 +[2025-03-11 02:40:38,638 INFO hook.py line 689 2389709] clothes : 0.2262 0.3117 +[2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] tv : 0.8131 0.8512 +[2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] nightstand : 0.4879 0.8178 +[2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] counter : 0.1620 0.2039 +[2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] dresser : 0.3672 0.7000 +[2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] stool : 0.5036 0.6004 +[2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] plant : 0.6967 0.9071 +[2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] ceiling : 0.9083 0.9775 +[2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] bathtub : 0.8510 0.9154 +[2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] end table : 0.1320 0.3015 +[2025-03-11 02:40:38,639 INFO hook.py line 689 2389709] dining table : 0.0043 0.0045 +[2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] keyboard : 0.3741 0.4502 +[2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] bag : 0.1438 0.2127 +[2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] backpack : 0.5859 0.7234 +[2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] toilet paper : 0.4113 0.5098 +[2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] printer : 0.4081 0.4561 +[2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] tv stand : 0.5830 0.7176 +[2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] whiteboard : 0.4756 0.6561 +[2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] blanket : 0.0995 0.1711 +[2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] shower curtain : 0.6580 0.7179 +[2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] trash can : 0.6088 0.7352 +[2025-03-11 02:40:38,640 INFO hook.py line 689 2389709] closet : 0.0350 0.0403 +[2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] stairs : 0.2263 0.7939 +[2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] microwave : 0.4949 0.6517 +[2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] stove : 0.5293 0.6814 +[2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] shoe : 0.4510 0.6203 +[2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] computer tower : 0.5598 0.7972 +[2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] bottle : 0.1393 0.2087 +[2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] ottoman : 0.1586 0.1744 +[2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] bench : 0.2814 0.4012 +[2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] board : 0.0694 0.0793 +[2025-03-11 02:40:38,641 INFO hook.py line 689 2389709] washing machine: 0.7990 0.8215 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] mirror : 0.2820 0.3220 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] copier : 0.7637 0.7747 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] sofa chair : 0.0948 0.2642 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] file cabinet : 0.3888 0.4550 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] fan : 0.3303 0.4799 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] laptop : 0.5460 0.6209 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] shower : 0.0435 0.0438 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] paper : 0.0000 0.0000 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] person : 0.3540 0.4610 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] paper towel dispenser: 0.5074 0.8146 +[2025-03-11 02:40:38,642 INFO hook.py line 689 2389709] oven : 0.0060 0.0063 +[2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] blackboard : 0.4428 0.4528 +[2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] piano : 0.4364 0.7618 +[2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] suitcase : 0.6764 0.8162 +[2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] rail : 0.0328 0.0339 +[2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] radiator : 0.5715 0.6653 +[2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] recycling bin : 0.5252 0.6201 +[2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] container : 0.0004 0.0005 +[2025-03-11 02:40:38,643 INFO hook.py line 689 2389709] wardrobe : 0.0961 0.1066 +[2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] soap dispenser : 0.5830 0.8938 +[2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] telephone : 0.2968 0.4848 +[2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] bucket : 0.3987 0.6359 +[2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] clock : 0.1967 0.2266 +[2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] light : 0.0197 0.0283 +[2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] laundry basket : 0.0002 0.0002 +[2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] pipe : 0.0729 0.0790 +[2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] clothes dryer : 0.1519 0.1546 +[2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] guitar : 0.6400 0.7487 +[2025-03-11 02:40:38,644 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] ladder : 0.3662 0.4098 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] bathroom stall : 0.2142 0.2374 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] shower wall : 0.5116 0.6456 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] cup : 0.2279 0.3355 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] jacket : 0.1869 0.2331 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] storage bin : 0.0004 0.0004 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] coffee maker : 0.6890 0.6897 +[2025-03-11 02:40:38,645 INFO hook.py line 689 2389709] dishwasher : 0.1431 0.3110 +[2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] paper towel roll: 0.0000 0.0000 +[2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] mat : 0.0010 0.0011 +[2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] windowsill : 0.1737 0.2047 +[2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] bar : 0.1325 0.2395 +[2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] toaster : 0.0025 0.0038 +[2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] bulletin board : 0.0388 0.0513 +[2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] ironing board : 0.0228 0.0265 +[2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] fireplace : 0.5315 0.6138 +[2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] soap dish : 0.3008 0.4829 +[2025-03-11 02:40:38,646 INFO hook.py line 689 2389709] kitchen counter: 0.5105 0.7757 +[2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] doorframe : 0.3175 0.3866 +[2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2806 0.3362 +[2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] mini fridge : 0.0742 0.0753 +[2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] ball : 0.3582 0.6228 +[2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] shower curtain rod: 0.3498 0.8788 +[2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] water cooler : 0.6232 0.6761 +[2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] paper cutter : 0.0870 0.0909 +[2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] tray : 0.0439 0.0458 +[2025-03-11 02:40:38,647 INFO hook.py line 689 2389709] shower door : 0.0942 0.2865 +[2025-03-11 02:40:38,648 INFO hook.py line 689 2389709] pillar : 0.0057 0.0057 +[2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] ledge : 0.0738 0.1094 +[2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] mouse : 0.0435 0.2939 +[2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.2771 0.3013 +[2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] cart : 0.0201 0.0203 +[2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] scale : 0.3327 0.7254 +[2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] tissue box : 0.0938 0.1225 +[2025-03-11 02:40:38,649 INFO hook.py line 689 2389709] light switch : 0.0468 0.1754 +[2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] power outlet : 0.1013 0.1218 +[2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] decoration : 0.2084 0.2239 +[2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] sign : 0.0067 0.0110 +[2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] projector : 0.1379 0.4394 +[2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] closet door : 0.0147 0.0147 +[2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] vacuum cleaner : 0.8793 0.9247 +[2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] plunger : 0.7989 0.9401 +[2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:40:38,650 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] dish rack : 0.7652 0.8436 +[2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] broom : 0.0505 0.0687 +[2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] range hood : 0.7512 0.8749 +[2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] dustpan : 0.1121 0.1822 +[2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] handicap bar : 0.0003 0.0029 +[2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:40:38,651 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 +[2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] mailbox : 0.1184 0.1193 +[2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] bowl : 0.0496 0.0761 +[2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] paper bag : 0.0832 0.2954 +[2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] projector screen: 0.0075 0.0089 +[2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] divider : 0.4301 0.4806 +[2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] laundry detergent: 0.0058 0.0061 +[2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] bathroom counter: 0.1322 0.3479 +[2025-03-11 02:40:38,652 INFO hook.py line 689 2389709] object : 0.0567 0.1054 +[2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] bathroom vanity: 0.3526 0.4437 +[2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] closet wall : 0.0990 0.1519 +[2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] laundry hamper : 0.2153 0.3659 +[2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] bathroom stall door: 0.2971 0.3173 +[2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] ceiling light : 0.1274 0.1358 +[2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] trash bin : 0.3095 0.4581 +[2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] dumbbell : 0.5924 0.7245 +[2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] stair rail : 0.2433 0.3443 +[2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] tube : 0.0933 0.1303 +[2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] bathroom cabinet: 0.4298 0.6438 +[2025-03-11 02:40:38,653 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] closet rod : 0.5543 0.7783 +[2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] shower head : 0.2322 0.3425 +[2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] coat rack : 0.0035 0.0048 +[2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] folded chair : 0.0373 0.0387 +[2025-03-11 02:40:38,654 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:40:38,655 INFO hook.py line 689 2389709] mattress : 0.0042 0.0042 +[2025-03-11 02:40:38,655 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:40:38,655 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2570/0.3345/0.7876. +[2025-03-11 02:40:38,656 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:40:38,673 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2788 +[2025-03-11 02:40:38,673 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:41:09,069 INFO hook.py line 566 2389709] Train: [28/100][50/300] Data 0.002 (0.002) Batch 0.480 (0.500) Remain 03:02:11 loss: 0.7411 Lr: 4.35811e-03 +[2025-03-11 02:41:33,456 INFO hook.py line 566 2389709] Train: [28/100][100/300] Data 0.002 (0.002) Batch 0.524 (0.494) Remain 02:59:25 loss: 0.7817 Lr: 4.34886e-03 +[2025-03-11 02:41:58,090 INFO hook.py line 566 2389709] Train: [28/100][150/300] Data 0.002 (0.002) Batch 0.444 (0.493) Remain 02:58:52 loss: 0.6759 Lr: 4.33956e-03 +[2025-03-11 02:42:22,287 INFO hook.py line 566 2389709] Train: [28/100][200/300] Data 0.003 (0.002) Batch 0.449 (0.491) Remain 02:57:35 loss: 0.7430 Lr: 4.33020e-03 +[2025-03-11 02:42:47,212 INFO hook.py line 566 2389709] Train: [28/100][250/300] Data 0.002 (0.002) Batch 0.507 (0.493) Remain 02:57:43 loss: 0.8130 Lr: 4.32079e-03 +[2025-03-11 02:43:11,322 INFO hook.py line 566 2389709] Train: [28/100][300/300] Data 0.002 (0.002) Batch 0.458 (0.491) Remain 02:56:41 loss: 0.7485 Lr: 4.31132e-03 +[2025-03-11 02:43:11,322 INFO misc.py line 135 2389709] Train result: loss: 0.8932 +[2025-03-11 02:43:11,422 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:44:02,238 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5274 +[2025-03-11 02:44:02,279 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2339 +[2025-03-11 02:44:02,326 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6599 +[2025-03-11 02:44:02,377 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6044 +[2025-03-11 02:44:02,416 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.1368 +[2025-03-11 02:44:02,474 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3261 +[2025-03-11 02:44:02,525 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8077 +[2025-03-11 02:44:02,561 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5254 +[2025-03-11 02:44:02,609 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1717 +[2025-03-11 02:44:02,644 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3172 +[2025-03-11 02:44:02,693 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2926 +[2025-03-11 02:44:02,730 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8806 +[2025-03-11 02:44:02,778 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2559 +[2025-03-11 02:44:02,818 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.6262 +[2025-03-11 02:44:02,863 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1297 +[2025-03-11 02:44:02,920 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4158 +[2025-03-11 02:44:02,968 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0281 +[2025-03-11 02:44:03,006 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7543 +[2025-03-11 02:44:03,051 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3408 +[2025-03-11 02:44:03,101 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6284 +[2025-03-11 02:44:03,144 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.5990 +[2025-03-11 02:44:03,195 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7805 +[2025-03-11 02:44:03,230 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3085 +[2025-03-11 02:44:03,285 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0597 +[2025-03-11 02:44:03,331 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.2905 +[2025-03-11 02:44:03,385 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0411 +[2025-03-11 02:44:03,442 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.4873 +[2025-03-11 02:44:03,482 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7941 +[2025-03-11 02:44:03,520 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8505 +[2025-03-11 02:44:03,575 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2092 +[2025-03-11 02:44:03,633 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6043 +[2025-03-11 02:44:03,668 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4436 +[2025-03-11 02:44:03,725 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1373 +[2025-03-11 02:44:03,767 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5835 +[2025-03-11 02:44:03,805 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3052 +[2025-03-11 02:44:03,846 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2900 +[2025-03-11 02:44:03,884 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.2558 +[2025-03-11 02:44:03,924 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8827 +[2025-03-11 02:44:03,991 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7024 +[2025-03-11 02:44:04,045 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5610 +[2025-03-11 02:44:04,103 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1175 +[2025-03-11 02:44:04,135 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5174 +[2025-03-11 02:44:04,172 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2002 +[2025-03-11 02:44:04,232 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8904 +[2025-03-11 02:44:04,268 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6074 +[2025-03-11 02:44:04,317 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9911 +[2025-03-11 02:44:04,355 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8868 +[2025-03-11 02:44:04,390 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0117 +[2025-03-11 02:44:04,423 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2535 +[2025-03-11 02:44:04,456 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6352 +[2025-03-11 02:44:04,485 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1420 +[2025-03-11 02:44:04,521 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6009 +[2025-03-11 02:44:04,555 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3688 +[2025-03-11 02:44:04,592 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3817 +[2025-03-11 02:44:04,633 INFO hook.py line 748 2389709] Test: [55/78] Loss 0.9316 +[2025-03-11 02:44:04,673 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3071 +[2025-03-11 02:44:04,708 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6040 +[2025-03-11 02:44:04,745 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2638 +[2025-03-11 02:44:04,790 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.6917 +[2025-03-11 02:44:04,826 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5801 +[2025-03-11 02:44:04,850 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9025 +[2025-03-11 02:44:04,885 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1102 +[2025-03-11 02:44:04,922 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0727 +[2025-03-11 02:44:04,979 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6108 +[2025-03-11 02:44:05,007 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1935 +[2025-03-11 02:44:05,056 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4818 +[2025-03-11 02:44:05,095 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1082 +[2025-03-11 02:44:05,135 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9342 +[2025-03-11 02:44:05,173 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3358 +[2025-03-11 02:44:05,239 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7820 +[2025-03-11 02:44:05,282 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7709 +[2025-03-11 02:44:05,336 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5381 +[2025-03-11 02:44:05,389 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.9137 +[2025-03-11 02:44:05,438 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.4622 +[2025-03-11 02:44:05,493 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6269 +[2025-03-11 02:44:05,525 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7348 +[2025-03-11 02:44:05,584 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6859 +[2025-03-11 02:44:05,611 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1958 +[2025-03-11 02:44:06,880 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:44:06,880 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:44:06,880 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] wall : 0.7795 0.9160 +[2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] chair : 0.7426 0.8872 +[2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] floor : 0.9554 0.9827 +[2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] table : 0.6060 0.6960 +[2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] door : 0.6246 0.7225 +[2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] couch : 0.7339 0.9440 +[2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] cabinet : 0.3207 0.4890 +[2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] shelf : 0.3907 0.5351 +[2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] desk : 0.5522 0.7512 +[2025-03-11 02:44:06,880 INFO hook.py line 689 2389709] office chair : 0.0413 0.0447 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] bed : 0.7380 0.8384 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] pillow : 0.4935 0.7060 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] sink : 0.6054 0.7182 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] picture : 0.3346 0.4062 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] window : 0.4976 0.6497 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] toilet : 0.9248 0.9675 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] bookshelf : 0.4787 0.5917 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] monitor : 0.8421 0.8946 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] curtain : 0.6848 0.8329 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] book : 0.3811 0.5836 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] armchair : 0.4460 0.6599 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] coffee table : 0.5233 0.5939 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] box : 0.2854 0.4844 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] refrigerator : 0.6434 0.7610 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] lamp : 0.6329 0.6775 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] kitchen cabinet: 0.6891 0.7890 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] towel : 0.4084 0.4500 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] clothes : 0.1688 0.4565 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] tv : 0.7871 0.8043 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] nightstand : 0.6272 0.7362 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] counter : 0.2467 0.3046 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] dresser : 0.4404 0.6212 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] stool : 0.4785 0.5820 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] plant : 0.6856 0.7290 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] ceiling : 0.9178 0.9497 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] bathtub : 0.8556 0.8968 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] end table : 0.0657 0.0826 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] dining table : 0.0459 0.0525 +[2025-03-11 02:44:06,881 INFO hook.py line 689 2389709] keyboard : 0.4046 0.5928 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] bag : 0.1599 0.2017 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] backpack : 0.5413 0.6085 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] toilet paper : 0.4311 0.4988 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] printer : 0.3519 0.4468 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] tv stand : 0.6005 0.8323 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] whiteboard : 0.4545 0.5720 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] blanket : 0.0501 0.0703 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] shower curtain : 0.5712 0.6135 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] trash can : 0.6405 0.8119 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] closet : 0.0825 0.1077 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] stairs : 0.5174 0.6760 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] microwave : 0.5294 0.7239 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] stove : 0.6186 0.8286 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] shoe : 0.4467 0.5490 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] computer tower : 0.4400 0.8186 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] bottle : 0.1810 0.4177 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] ottoman : 0.2917 0.5357 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] bench : 0.3108 0.4166 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] board : 0.0853 0.2911 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] washing machine: 0.8450 0.9176 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] mirror : 0.3459 0.4412 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] copier : 0.7839 0.8721 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] sofa chair : 0.1734 0.3908 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] file cabinet : 0.4963 0.7049 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] fan : 0.3107 0.3494 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] laptop : 0.4549 0.7030 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] shower : 0.3646 0.4491 +[2025-03-11 02:44:06,882 INFO hook.py line 689 2389709] paper : 0.0435 0.1031 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] person : 0.0807 0.5776 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] paper towel dispenser: 0.5831 0.8039 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] oven : 0.0161 0.0172 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] blinds : 0.0001 0.0001 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] blackboard : 0.5563 0.6296 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] piano : 0.3629 0.7413 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] suitcase : 0.3572 0.8698 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] rail : 0.0496 0.0535 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] radiator : 0.5902 0.6630 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] recycling bin : 0.4654 0.4992 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] wardrobe : 0.1591 0.4990 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] soap dispenser : 0.7204 0.9054 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] telephone : 0.2543 0.3341 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] bucket : 0.2464 0.3639 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] clock : 0.1879 0.2363 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] light : 0.0051 0.0061 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] laundry basket : 0.0949 0.0985 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] pipe : 0.0533 0.0785 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] clothes dryer : 0.6602 0.6858 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] guitar : 0.0379 0.0440 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] seat : 0.0262 0.0318 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] column : 0.0975 0.2258 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:44:06,883 INFO hook.py line 689 2389709] ladder : 0.5161 0.6541 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] bathroom stall : 0.4892 0.7831 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] shower wall : 0.5350 0.7098 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] cup : 0.1797 0.4095 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] jacket : 0.1695 0.2737 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] storage bin : 0.0613 0.0729 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] coffee maker : 0.6937 0.9836 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] dishwasher : 0.2985 0.4826 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] paper towel roll: 0.1053 0.1178 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] mat : 0.0947 0.0986 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] windowsill : 0.1133 0.1219 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] bar : 0.1319 0.2312 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] toaster : 0.0050 0.0131 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] bulletin board : 0.2442 0.2808 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] ironing board : 0.1099 0.1640 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] fireplace : 0.2792 0.2837 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] soap dish : 0.3540 0.4510 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] kitchen counter: 0.5861 0.7892 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] doorframe : 0.3555 0.4466 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3083 0.4169 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] mini fridge : 0.2569 0.4367 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] fire extinguisher: 0.0255 0.0688 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] ball : 0.6071 0.7145 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] hat : 0.0421 0.1257 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] shower curtain rod: 0.2783 0.8690 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] water cooler : 0.4190 0.4295 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] paper cutter : 0.1928 0.2089 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] tray : 0.0177 0.0203 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] shower door : 0.2307 0.3607 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] pillar : 0.0004 0.0005 +[2025-03-11 02:44:06,884 INFO hook.py line 689 2389709] ledge : 0.0065 0.0069 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] mouse : 0.0952 0.4521 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4526 0.7879 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] furniture : 0.0001 0.0001 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] cart : 0.0471 0.0482 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] scale : 0.3099 0.9582 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] tissue box : 0.1185 0.1530 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] light switch : 0.0696 0.2355 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] power outlet : 0.0202 0.0219 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] decoration : 0.2836 0.4475 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] projector : 0.3252 0.8744 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] closet door : 0.1396 0.1452 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] vacuum cleaner : 0.7754 0.8474 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] plunger : 0.7418 0.8722 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] headphones : 0.0299 0.0607 +[2025-03-11 02:44:06,888 INFO hook.py line 689 2389709] dish rack : 0.4897 0.9195 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] broom : 0.0352 0.0419 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] range hood : 0.6042 0.7231 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] dustpan : 0.0764 0.1474 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] handicap bar : 0.0467 0.4327 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] vent : 0.0003 0.0019 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] shower floor : 0.6215 0.9834 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] mailbox : 0.4464 0.4561 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] bowl : 0.0302 0.0415 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] paper bag : 0.0494 0.1171 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] projector screen: 0.0136 0.0179 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] divider : 0.4351 0.5607 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] bathroom counter: 0.3061 0.3718 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] object : 0.0289 0.1036 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] bathroom vanity: 0.4989 0.7182 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] closet wall : 0.0975 0.1266 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] laundry hamper : 0.2189 0.4544 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] bathroom stall door: 0.5726 0.8392 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] ceiling light : 0.3257 0.5618 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] trash bin : 0.2133 0.2463 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] dumbbell : 0.8294 0.9844 +[2025-03-11 02:44:06,889 INFO hook.py line 689 2389709] stair rail : 0.0853 0.1157 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] tube : 0.0851 0.1903 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] bathroom cabinet: 0.3827 0.4873 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] closet rod : 0.4260 0.7629 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] shower head : 0.2936 0.3443 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] coat rack : 0.0011 0.0024 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:44:06,890 INFO hook.py line 689 2389709] mattress : 0.0178 0.0187 +[2025-03-11 02:44:06,890 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:44:06,890 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2808/0.3820/0.8045. +[2025-03-11 02:44:06,891 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:44:06,907 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2808 +[2025-03-11 02:44:06,907 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2808 +[2025-03-11 02:44:06,907 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:44:37,296 INFO hook.py line 566 2389709] Train: [29/100][50/300] Data 0.002 (0.003) Batch 0.508 (0.493) Remain 02:56:55 loss: 0.7752 Lr: 4.30180e-03 +[2025-03-11 02:45:01,534 INFO hook.py line 566 2389709] Train: [29/100][100/300] Data 0.002 (0.002) Batch 0.509 (0.489) Remain 02:55:04 loss: 0.8889 Lr: 4.29222e-03 +[2025-03-11 02:45:26,069 INFO hook.py line 566 2389709] Train: [29/100][150/300] Data 0.002 (0.002) Batch 0.475 (0.489) Remain 02:54:55 loss: 1.1379 Lr: 4.28259e-03 +[2025-03-11 02:45:50,345 INFO hook.py line 566 2389709] Train: [29/100][200/300] Data 0.003 (0.002) Batch 0.532 (0.488) Remain 02:54:10 loss: 1.1264 Lr: 4.27290e-03 +[2025-03-11 02:46:14,629 INFO hook.py line 566 2389709] Train: [29/100][250/300] Data 0.002 (0.002) Batch 0.460 (0.488) Remain 02:53:34 loss: 0.9354 Lr: 4.26316e-03 +[2025-03-11 02:46:38,296 INFO hook.py line 566 2389709] Train: [29/100][300/300] Data 0.001 (0.002) Batch 0.452 (0.485) Remain 02:52:18 loss: 0.9516 Lr: 4.25336e-03 +[2025-03-11 02:46:38,297 INFO misc.py line 135 2389709] Train result: loss: 0.8980 +[2025-03-11 02:46:38,395 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:47:32,472 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7363 +[2025-03-11 02:47:32,586 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3716 +[2025-03-11 02:47:32,638 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5753 +[2025-03-11 02:47:32,698 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3898 +[2025-03-11 02:47:32,734 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0963 +[2025-03-11 02:47:32,791 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1383 +[2025-03-11 02:47:32,846 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9967 +[2025-03-11 02:47:32,874 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2762 +[2025-03-11 02:47:32,920 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2433 +[2025-03-11 02:47:32,954 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4479 +[2025-03-11 02:47:33,006 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0613 +[2025-03-11 02:47:33,040 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0987 +[2025-03-11 02:47:33,091 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4310 +[2025-03-11 02:47:33,137 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.0081 +[2025-03-11 02:47:33,181 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.6976 +[2025-03-11 02:47:33,234 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3177 +[2025-03-11 02:47:33,273 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1664 +[2025-03-11 02:47:33,314 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0434 +[2025-03-11 02:47:33,357 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2980 +[2025-03-11 02:47:33,402 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.2968 +[2025-03-11 02:47:33,438 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8049 +[2025-03-11 02:47:33,480 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7990 +[2025-03-11 02:47:33,510 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4176 +[2025-03-11 02:47:33,559 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1439 +[2025-03-11 02:47:33,608 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8650 +[2025-03-11 02:47:33,658 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1032 +[2025-03-11 02:47:33,712 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6677 +[2025-03-11 02:47:33,748 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9332 +[2025-03-11 02:47:33,781 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0057 +[2025-03-11 02:47:33,842 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3461 +[2025-03-11 02:47:33,900 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4595 +[2025-03-11 02:47:33,934 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1921 +[2025-03-11 02:47:33,997 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0470 +[2025-03-11 02:47:34,037 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.7755 +[2025-03-11 02:47:34,075 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5280 +[2025-03-11 02:47:34,123 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5200 +[2025-03-11 02:47:34,171 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.9352 +[2025-03-11 02:47:34,202 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7677 +[2025-03-11 02:47:34,271 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9194 +[2025-03-11 02:47:34,318 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2440 +[2025-03-11 02:47:34,367 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2721 +[2025-03-11 02:47:34,401 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5346 +[2025-03-11 02:47:34,450 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3784 +[2025-03-11 02:47:34,508 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0013 +[2025-03-11 02:47:34,554 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3395 +[2025-03-11 02:47:34,608 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2243 +[2025-03-11 02:47:34,649 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8933 +[2025-03-11 02:47:34,684 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0967 +[2025-03-11 02:47:34,716 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5101 +[2025-03-11 02:47:34,749 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6940 +[2025-03-11 02:47:34,780 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8557 +[2025-03-11 02:47:34,815 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6181 +[2025-03-11 02:47:34,843 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.6836 +[2025-03-11 02:47:34,882 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1550 +[2025-03-11 02:47:34,921 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3598 +[2025-03-11 02:47:34,967 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0353 +[2025-03-11 02:47:35,000 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5993 +[2025-03-11 02:47:35,029 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0757 +[2025-03-11 02:47:35,067 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8436 +[2025-03-11 02:47:35,104 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7256 +[2025-03-11 02:47:35,132 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.1029 +[2025-03-11 02:47:35,168 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0803 +[2025-03-11 02:47:35,205 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0038 +[2025-03-11 02:47:35,266 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8245 +[2025-03-11 02:47:35,296 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2469 +[2025-03-11 02:47:35,339 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7019 +[2025-03-11 02:47:35,379 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1906 +[2025-03-11 02:47:35,416 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0071 +[2025-03-11 02:47:35,447 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.5419 +[2025-03-11 02:47:35,509 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6956 +[2025-03-11 02:47:35,557 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8139 +[2025-03-11 02:47:35,612 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9126 +[2025-03-11 02:47:35,670 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7245 +[2025-03-11 02:47:35,715 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1487 +[2025-03-11 02:47:35,767 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.2879 +[2025-03-11 02:47:35,796 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9789 +[2025-03-11 02:47:35,856 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5436 +[2025-03-11 02:47:35,883 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1610 +[2025-03-11 02:47:37,283 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:47:37,283 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:47:37,283 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] wall : 0.7716 0.8996 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] chair : 0.5966 0.6609 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] floor : 0.9566 0.9752 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] table : 0.6215 0.8065 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] door : 0.6274 0.7686 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] couch : 0.7878 0.8424 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] cabinet : 0.3121 0.4565 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] shelf : 0.4345 0.6776 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] desk : 0.5401 0.6584 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] office chair : 0.2643 0.8804 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] bed : 0.7649 0.8992 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] pillow : 0.5246 0.7768 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] sink : 0.5731 0.8103 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] picture : 0.3639 0.5202 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] window : 0.5383 0.7129 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] toilet : 0.8475 0.8908 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] bookshelf : 0.3832 0.4196 +[2025-03-11 02:47:37,284 INFO hook.py line 689 2389709] monitor : 0.8429 0.9431 +[2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] curtain : 0.6308 0.7087 +[2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] book : 0.4490 0.6530 +[2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] armchair : 0.5599 0.8158 +[2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] coffee table : 0.5695 0.6481 +[2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] box : 0.3097 0.4916 +[2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] refrigerator : 0.7042 0.8144 +[2025-03-11 02:47:37,285 INFO hook.py line 689 2389709] lamp : 0.6269 0.6758 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] kitchen cabinet: 0.6518 0.7253 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] towel : 0.3965 0.4907 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] clothes : 0.1948 0.3319 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] tv : 0.8130 0.8575 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] nightstand : 0.6243 0.8400 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] counter : 0.2533 0.4766 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] dresser : 0.3200 0.4335 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] stool : 0.4527 0.6967 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] plant : 0.6298 0.9157 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] ceiling : 0.9112 0.9568 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] bathtub : 0.8723 0.9376 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] end table : 0.1106 0.1264 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] dining table : 0.0038 0.0038 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] keyboard : 0.3767 0.5845 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] bag : 0.1644 0.2814 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] backpack : 0.5508 0.6724 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] toilet paper : 0.3728 0.5630 +[2025-03-11 02:47:37,286 INFO hook.py line 689 2389709] printer : 0.4282 0.5031 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] tv stand : 0.4325 0.8157 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] whiteboard : 0.4441 0.7101 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] blanket : 0.0065 0.0089 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] shower curtain : 0.6384 0.7428 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] trash can : 0.5870 0.8361 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] closet : 0.0573 0.0647 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] stairs : 0.2164 0.8313 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] microwave : 0.3857 0.8041 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] stove : 0.6250 0.8082 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] shoe : 0.4396 0.7756 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] computer tower : 0.6025 0.7117 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] bottle : 0.1494 0.4449 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] bin : 0.0178 0.0456 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] ottoman : 0.3620 0.5643 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] bench : 0.1400 0.1472 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] board : 0.1792 0.2777 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] washing machine: 0.6958 0.7791 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] mirror : 0.3237 0.5291 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] copier : 0.8197 0.9060 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] sofa chair : 0.1316 0.2013 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] file cabinet : 0.4838 0.5914 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] fan : 0.1984 0.2932 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] laptop : 0.3301 0.6243 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] shower : 0.3034 0.4637 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] paper : 0.0305 0.0367 +[2025-03-11 02:47:37,287 INFO hook.py line 689 2389709] person : 0.2160 0.5381 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] paper towel dispenser: 0.4210 0.8766 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] oven : 0.0545 0.0686 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] blackboard : 0.6025 0.7245 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] piano : 0.3388 0.4022 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] suitcase : 0.5724 0.5953 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] rail : 0.0374 0.0423 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] radiator : 0.5585 0.6617 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] recycling bin : 0.4900 0.5714 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] container : 0.0390 0.2361 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] wardrobe : 0.2113 0.2385 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] soap dispenser : 0.7714 0.8760 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] telephone : 0.2266 0.4525 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] bucket : 0.2452 0.4786 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] clock : 0.2197 0.2573 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] stand : 0.0986 0.3820 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] light : 0.1281 0.1728 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] laundry basket : 0.0026 0.0027 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] pipe : 0.0776 0.1063 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] clothes dryer : 0.5530 0.6897 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] guitar : 0.1756 0.6084 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:47:37,288 INFO hook.py line 689 2389709] seat : 0.0004 0.0005 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] column : 0.0524 0.0876 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] ladder : 0.4194 0.6023 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] bathroom stall : 0.3620 0.4876 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] shower wall : 0.5013 0.6620 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] cup : 0.1216 0.4229 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] jacket : 0.2096 0.3632 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] storage bin : 0.0536 0.0605 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] coffee maker : 0.4616 0.9931 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] dishwasher : 0.4186 0.5394 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] paper towel roll: 0.4009 0.5757 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] mat : 0.1420 0.1452 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] windowsill : 0.3136 0.5032 +[2025-03-11 02:47:37,289 INFO hook.py line 689 2389709] bar : 0.0461 0.2546 +[2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] bulletin board : 0.2022 0.2635 +[2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] ironing board : 0.0644 0.0694 +[2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] fireplace : 0.5725 0.6846 +[2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] soap dish : 0.2967 0.4332 +[2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] kitchen counter: 0.4412 0.5245 +[2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] doorframe : 0.3827 0.5719 +[2025-03-11 02:47:37,290 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3228 0.4614 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] mini fridge : 0.1778 0.1959 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] fire extinguisher: 0.1278 0.2126 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] ball : 0.7783 0.9510 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] shower curtain rod: 0.3121 0.8184 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] water cooler : 0.7390 0.8956 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] paper cutter : 0.2218 0.2867 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] tray : 0.0478 0.0917 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] shower door : 0.1103 0.3998 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] pillar : 0.0722 0.1097 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] ledge : 0.0606 0.0834 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] toaster oven : 0.0056 0.0057 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] mouse : 0.0580 0.4113 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5329 0.7280 +[2025-03-11 02:47:37,291 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] cart : 0.2194 0.3042 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] scale : 0.1728 0.9728 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] tissue box : 0.2037 0.3500 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] light switch : 0.0046 0.0250 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] decoration : 0.0536 0.1822 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] sign : 0.0108 0.0115 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] projector : 0.0799 0.2857 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] closet door : 0.1974 0.2343 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] vacuum cleaner : 0.7552 0.9771 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] plunger : 0.3311 0.9711 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] headphones : 0.0302 0.1463 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] dish rack : 0.5087 0.9469 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] broom : 0.0220 0.0525 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] range hood : 0.7392 0.8508 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] dustpan : 0.1042 0.2534 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] hair dryer : 0.0003 0.0020 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] water bottle : 0.0122 0.0538 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] handicap bar : 0.0674 0.6609 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] vent : 0.0003 0.0075 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] shower floor : 0.3932 0.9806 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] water pitcher : 0.0004 0.0056 +[2025-03-11 02:47:37,292 INFO hook.py line 689 2389709] mailbox : 0.4017 0.4113 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] bowl : 0.0005 0.0008 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] paper bag : 0.1162 0.1328 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] divider : 0.4437 0.5416 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] bathroom counter: 0.1993 0.2310 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] object : 0.0331 0.0492 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] bathroom vanity: 0.3729 0.8163 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] closet wall : 0.1112 0.1801 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] laundry hamper : 0.0843 0.1222 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] bathroom stall door: 0.4653 0.7598 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] ceiling light : 0.2934 0.4125 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] trash bin : 0.2482 0.7139 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] dumbbell : 0.1258 0.9720 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] stair rail : 0.1583 0.3084 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] tube : 0.0825 0.0904 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] bathroom cabinet: 0.1511 0.2745 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] closet rod : 0.2613 0.8683 +[2025-03-11 02:47:37,293 INFO hook.py line 689 2389709] coffee kettle : 0.0334 0.0581 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] shower head : 0.1685 0.2142 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] calendar : 0.0001 0.0014 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:47:37,294 INFO hook.py line 689 2389709] mattress : 0.0021 0.0021 +[2025-03-11 02:47:37,294 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:47:37,294 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2703/0.4006/0.7963. +[2025-03-11 02:47:37,296 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:47:37,312 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2808 +[2025-03-11 02:47:37,313 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:48:07,072 INFO hook.py line 566 2389709] Train: [30/100][50/300] Data 0.002 (0.002) Batch 0.500 (0.486) Remain 02:52:15 loss: 1.1112 Lr: 4.24352e-03 +[2025-03-11 02:48:31,126 INFO hook.py line 566 2389709] Train: [30/100][100/300] Data 0.003 (0.002) Batch 0.428 (0.484) Remain 02:50:53 loss: 1.0745 Lr: 4.23361e-03 +[2025-03-11 02:48:55,549 INFO hook.py line 566 2389709] Train: [30/100][150/300] Data 0.003 (0.002) Batch 0.502 (0.485) Remain 02:51:03 loss: 1.0196 Lr: 4.22366e-03 +[2025-03-11 02:49:20,403 INFO hook.py line 566 2389709] Train: [30/100][200/300] Data 0.002 (0.002) Batch 0.476 (0.488) Remain 02:51:42 loss: 0.6666 Lr: 4.21365e-03 +[2025-03-11 02:49:45,334 INFO hook.py line 566 2389709] Train: [30/100][250/300] Data 0.002 (0.002) Batch 0.485 (0.490) Remain 02:52:02 loss: 0.7814 Lr: 4.20360e-03 +[2025-03-11 02:50:09,902 INFO hook.py line 566 2389709] Train: [30/100][300/300] Data 0.002 (0.002) Batch 0.468 (0.491) Remain 02:51:41 loss: 0.8018 Lr: 4.19349e-03 +[2025-03-11 02:50:09,903 INFO misc.py line 135 2389709] Train result: loss: 0.8785 +[2025-03-11 02:50:10,002 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:50:59,619 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5868 +[2025-03-11 02:50:59,665 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.9269 +[2025-03-11 02:50:59,703 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6230 +[2025-03-11 02:50:59,755 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.7053 +[2025-03-11 02:50:59,792 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0393 +[2025-03-11 02:50:59,855 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8277 +[2025-03-11 02:50:59,913 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9203 +[2025-03-11 02:50:59,942 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6079 +[2025-03-11 02:50:59,990 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3993 +[2025-03-11 02:51:00,035 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3241 +[2025-03-11 02:51:00,091 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3544 +[2025-03-11 02:51:00,132 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4215 +[2025-03-11 02:51:00,181 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.7370 +[2025-03-11 02:51:00,225 INFO hook.py line 748 2389709] Test: [14/78] Loss 2.9703 +[2025-03-11 02:51:00,264 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2262 +[2025-03-11 02:51:00,316 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.2838 +[2025-03-11 02:51:00,360 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0649 +[2025-03-11 02:51:00,396 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0863 +[2025-03-11 02:51:00,454 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2384 +[2025-03-11 02:51:00,500 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8128 +[2025-03-11 02:51:00,548 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6830 +[2025-03-11 02:51:00,603 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8046 +[2025-03-11 02:51:00,640 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4730 +[2025-03-11 02:51:00,689 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.3028 +[2025-03-11 02:51:00,732 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.2684 +[2025-03-11 02:51:00,775 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3729 +[2025-03-11 02:51:00,829 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5895 +[2025-03-11 02:51:00,870 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5597 +[2025-03-11 02:51:00,908 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.7049 +[2025-03-11 02:51:00,969 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5400 +[2025-03-11 02:51:01,028 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4913 +[2025-03-11 02:51:01,070 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0406 +[2025-03-11 02:51:01,131 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0294 +[2025-03-11 02:51:01,172 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6556 +[2025-03-11 02:51:01,210 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2204 +[2025-03-11 02:51:01,257 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3287 +[2025-03-11 02:51:01,309 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7844 +[2025-03-11 02:51:01,357 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9081 +[2025-03-11 02:51:01,424 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8273 +[2025-03-11 02:51:01,481 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6700 +[2025-03-11 02:51:01,529 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3763 +[2025-03-11 02:51:01,573 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6894 +[2025-03-11 02:51:01,620 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3345 +[2025-03-11 02:51:01,677 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0120 +[2025-03-11 02:51:01,719 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5071 +[2025-03-11 02:51:01,772 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1494 +[2025-03-11 02:51:01,813 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1047 +[2025-03-11 02:51:01,848 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0601 +[2025-03-11 02:51:01,883 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3830 +[2025-03-11 02:51:01,921 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0648 +[2025-03-11 02:51:01,955 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9893 +[2025-03-11 02:51:01,992 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5741 +[2025-03-11 02:51:02,023 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1483 +[2025-03-11 02:51:02,063 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5863 +[2025-03-11 02:51:02,106 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3179 +[2025-03-11 02:51:02,146 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8986 +[2025-03-11 02:51:02,184 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7843 +[2025-03-11 02:51:02,214 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2349 +[2025-03-11 02:51:02,255 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9237 +[2025-03-11 02:51:02,296 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5006 +[2025-03-11 02:51:02,325 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9443 +[2025-03-11 02:51:02,365 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9094 +[2025-03-11 02:51:02,401 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2927 +[2025-03-11 02:51:02,458 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.3979 +[2025-03-11 02:51:02,490 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2561 +[2025-03-11 02:51:02,538 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5670 +[2025-03-11 02:51:02,577 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9823 +[2025-03-11 02:51:02,618 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3978 +[2025-03-11 02:51:02,654 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4431 +[2025-03-11 02:51:02,722 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0073 +[2025-03-11 02:51:02,766 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.3872 +[2025-03-11 02:51:02,823 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8611 +[2025-03-11 02:51:02,881 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7837 +[2025-03-11 02:51:02,929 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.7087 +[2025-03-11 02:51:02,984 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4922 +[2025-03-11 02:51:03,016 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8458 +[2025-03-11 02:51:03,077 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6056 +[2025-03-11 02:51:03,104 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0307 +[2025-03-11 02:51:04,469 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:51:04,469 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:51:04,469 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] wall : 0.7761 0.8799 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] chair : 0.6932 0.8369 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] floor : 0.9552 0.9831 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] table : 0.6159 0.7284 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] door : 0.5884 0.7955 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] couch : 0.7675 0.9105 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] cabinet : 0.2128 0.2503 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] shelf : 0.3335 0.4298 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] desk : 0.5337 0.6691 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] office chair : 0.3083 0.5909 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] bed : 0.7565 0.8824 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] pillow : 0.4801 0.7231 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] sink : 0.6221 0.7543 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] picture : 0.3598 0.4404 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] window : 0.5032 0.7566 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] toilet : 0.8912 0.9649 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] bookshelf : 0.4617 0.7179 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] monitor : 0.8202 0.9155 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] curtain : 0.5691 0.9093 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] book : 0.4155 0.7142 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] armchair : 0.4879 0.6785 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] coffee table : 0.5262 0.7068 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] box : 0.1200 0.1269 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] refrigerator : 0.5156 0.7344 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] lamp : 0.6410 0.7615 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] kitchen cabinet: 0.6225 0.8494 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] towel : 0.3456 0.6730 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] clothes : 0.1892 0.3902 +[2025-03-11 02:51:04,470 INFO hook.py line 689 2389709] tv : 0.8103 0.9149 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] nightstand : 0.6896 0.7615 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] counter : 0.2373 0.2979 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] dresser : 0.4387 0.5352 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] stool : 0.5288 0.6687 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] plant : 0.5957 0.8160 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] ceiling : 0.9227 0.9537 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] bathtub : 0.8379 0.8742 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] end table : 0.3584 0.5260 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] dining table : 0.1025 0.2481 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] keyboard : 0.3719 0.6058 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] bag : 0.0755 0.0921 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] backpack : 0.5178 0.6197 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] toilet paper : 0.4445 0.6081 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] printer : 0.4064 0.5223 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] tv stand : 0.6042 0.8464 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] whiteboard : 0.4899 0.6933 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] blanket : 0.0329 0.0438 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] shower curtain : 0.5160 0.6709 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] trash can : 0.5680 0.8499 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] closet : 0.0498 0.0536 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] stairs : 0.5227 0.5568 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] microwave : 0.5084 0.6187 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] stove : 0.4643 0.5959 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] shoe : 0.3534 0.3749 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] computer tower : 0.5817 0.7459 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] bottle : 0.1495 0.4527 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] bin : 0.0004 0.0004 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] ottoman : 0.3230 0.7838 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] bench : 0.2295 0.2589 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] board : 0.1659 0.2963 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] washing machine: 0.7884 0.8772 +[2025-03-11 02:51:04,471 INFO hook.py line 689 2389709] mirror : 0.3527 0.4307 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] copier : 0.6433 0.8600 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] basket : 0.0015 0.0110 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] sofa chair : 0.0229 0.0264 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] file cabinet : 0.4263 0.5641 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] fan : 0.2554 0.3336 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] laptop : 0.4740 0.5627 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] shower : 0.0751 0.0754 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] paper : 0.0153 0.0177 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] person : 0.0998 0.3611 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] paper towel dispenser: 0.5574 0.7438 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] oven : 0.0271 0.0281 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] blinds : 0.0920 0.1655 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] plate : 0.0293 0.1711 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] blackboard : 0.5855 0.6093 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] piano : 0.4373 0.4420 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] suitcase : 0.7045 0.7701 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] rail : 0.0240 0.0254 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] radiator : 0.5760 0.7045 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] recycling bin : 0.4489 0.5504 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] container : 0.0304 0.0517 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] wardrobe : 0.1243 0.1398 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] soap dispenser : 0.6500 0.9107 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] telephone : 0.2529 0.4676 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] bucket : 0.2789 0.4488 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] clock : 0.2499 0.3450 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] light : 0.0313 0.0353 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] laundry basket : 0.0239 0.0454 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] pipe : 0.0311 0.0340 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] clothes dryer : 0.3946 0.4123 +[2025-03-11 02:51:04,472 INFO hook.py line 689 2389709] guitar : 0.4087 0.7382 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] seat : 0.0082 0.0113 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] column : 0.0656 0.1112 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] ladder : 0.3705 0.7257 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] bathroom stall : 0.3526 0.4779 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] shower wall : 0.5333 0.6744 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] cup : 0.2262 0.4720 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] jacket : 0.2167 0.2803 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] storage bin : 0.0502 0.0513 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] coffee maker : 0.5816 0.9796 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] dishwasher : 0.2577 0.6628 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] paper towel roll: 0.2551 0.2828 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] mat : 0.1091 0.1213 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] windowsill : 0.1509 0.1741 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] bar : 0.1197 0.2476 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] bulletin board : 0.2196 0.3450 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] ironing board : 0.1463 0.2922 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] fireplace : 0.4823 0.5024 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] soap dish : 0.3540 0.4751 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] kitchen counter: 0.5098 0.7377 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] doorframe : 0.3674 0.6211 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3008 0.3833 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] mini fridge : 0.1955 0.2141 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] ball : 0.4797 0.9318 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] shower curtain rod: 0.1044 0.8696 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] water cooler : 0.3498 0.4360 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] paper cutter : 0.2019 0.2942 +[2025-03-11 02:51:04,473 INFO hook.py line 689 2389709] tray : 0.0086 0.0150 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] shower door : 0.0625 0.0721 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] pillar : 0.0843 0.0850 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] ledge : 0.0787 0.0964 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] toaster oven : 0.2067 0.2139 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] mouse : 0.0496 0.6396 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5905 0.8273 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] furniture : 0.0000 0.0001 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] cart : 0.3172 0.3495 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] scale : 0.0000 0.0000 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] tissue box : 0.1426 0.1810 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] light switch : 0.0515 0.2615 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] crate : 0.0006 0.0007 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] power outlet : 0.0266 0.0424 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] decoration : 0.0042 0.0122 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] sign : 0.0096 0.0104 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] projector : 0.0940 1.0000 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] closet door : 0.0686 0.1023 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] vacuum cleaner : 0.4385 0.4905 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] plunger : 0.4024 0.9377 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] headphones : 0.0345 0.0707 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] dish rack : 0.4335 0.8943 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] broom : 0.0465 0.1792 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] range hood : 0.7387 0.8656 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] dustpan : 0.0288 0.0605 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] hair dryer : 0.0011 0.0020 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] handicap bar : 0.0290 0.3965 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:51:04,474 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] shower floor : 0.5136 0.9729 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] mailbox : 0.3503 0.3711 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] paper bag : 0.0528 0.0542 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] projector screen: 0.0190 0.0280 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] divider : 0.4660 0.5838 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] laundry detergent: 0.0038 0.0051 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] bathroom counter: 0.2721 0.3721 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] object : 0.0351 0.0694 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] bathroom vanity: 0.4180 0.6467 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] closet wall : 0.0088 0.0096 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] laundry hamper : 0.0853 0.1128 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] bathroom stall door: 0.3825 0.6881 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] ceiling light : 0.3046 0.3948 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] trash bin : 0.1871 0.2258 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] dumbbell : 0.5821 0.9561 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] stair rail : 0.1729 0.2405 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] tube : 0.0747 0.0958 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] bathroom cabinet: 0.2319 0.2560 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] closet rod : 0.2341 0.7013 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] coffee kettle : 0.2108 0.3924 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] shower head : 0.2252 0.2543 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] case of water bottles: 0.0153 0.0154 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] coat rack : 0.0359 0.4569 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:51:04,475 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:51:04,476 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:51:04,476 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:51:04,476 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:51:04,476 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:51:04,476 INFO hook.py line 689 2389709] mattress : 0.0199 0.0199 +[2025-03-11 02:51:04,476 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:51:04,476 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2649/0.3786/0.7968. +[2025-03-11 02:51:04,476 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:51:04,494 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2808 +[2025-03-11 02:51:04,494 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:51:33,902 INFO hook.py line 566 2389709] Train: [31/100][50/300] Data 0.001 (0.002) Batch 0.427 (0.493) Remain 02:52:08 loss: 0.9723 Lr: 4.18333e-03 +[2025-03-11 02:51:58,109 INFO hook.py line 566 2389709] Train: [31/100][100/300] Data 0.003 (0.002) Batch 0.423 (0.488) Remain 02:50:08 loss: 0.8596 Lr: 4.17311e-03 +[2025-03-11 02:52:22,440 INFO hook.py line 566 2389709] Train: [31/100][150/300] Data 0.001 (0.002) Batch 0.447 (0.488) Remain 02:49:31 loss: 0.8242 Lr: 4.16285e-03 +[2025-03-11 02:52:47,139 INFO hook.py line 566 2389709] Train: [31/100][200/300] Data 0.002 (0.002) Batch 0.482 (0.489) Remain 02:49:39 loss: 0.7697 Lr: 4.15254e-03 +[2025-03-11 02:53:11,535 INFO hook.py line 566 2389709] Train: [31/100][250/300] Data 0.002 (0.002) Batch 0.470 (0.489) Remain 02:49:08 loss: 0.8337 Lr: 4.14217e-03 +[2025-03-11 02:53:36,147 INFO hook.py line 566 2389709] Train: [31/100][300/300] Data 0.001 (0.002) Batch 0.515 (0.490) Remain 02:48:55 loss: 0.6647 Lr: 4.13176e-03 +[2025-03-11 02:53:36,148 INFO misc.py line 135 2389709] Train result: loss: 0.8745 +[2025-03-11 02:53:36,253 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:54:25,220 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5924 +[2025-03-11 02:54:25,283 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.7260 +[2025-03-11 02:54:25,330 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6659 +[2025-03-11 02:54:25,379 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4091 +[2025-03-11 02:54:25,425 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8706 +[2025-03-11 02:54:25,483 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2578 +[2025-03-11 02:54:25,551 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0508 +[2025-03-11 02:54:25,587 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1918 +[2025-03-11 02:54:25,639 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5231 +[2025-03-11 02:54:25,685 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2345 +[2025-03-11 02:54:25,732 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3390 +[2025-03-11 02:54:25,770 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9708 +[2025-03-11 02:54:25,834 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.1290 +[2025-03-11 02:54:25,876 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.0569 +[2025-03-11 02:54:25,918 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9937 +[2025-03-11 02:54:25,970 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1623 +[2025-03-11 02:54:26,008 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4141 +[2025-03-11 02:54:26,046 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0698 +[2025-03-11 02:54:26,100 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5156 +[2025-03-11 02:54:26,140 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4635 +[2025-03-11 02:54:26,183 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7152 +[2025-03-11 02:54:26,224 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0781 +[2025-03-11 02:54:26,267 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3930 +[2025-03-11 02:54:26,320 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0007 +[2025-03-11 02:54:26,376 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4599 +[2025-03-11 02:54:26,427 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2546 +[2025-03-11 02:54:26,485 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9889 +[2025-03-11 02:54:26,526 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6134 +[2025-03-11 02:54:26,572 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8990 +[2025-03-11 02:54:26,629 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1821 +[2025-03-11 02:54:26,688 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6423 +[2025-03-11 02:54:26,727 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5535 +[2025-03-11 02:54:26,790 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1013 +[2025-03-11 02:54:26,833 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.9750 +[2025-03-11 02:54:26,885 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1599 +[2025-03-11 02:54:26,934 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3404 +[2025-03-11 02:54:26,980 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3021 +[2025-03-11 02:54:27,010 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7142 +[2025-03-11 02:54:27,080 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9965 +[2025-03-11 02:54:27,127 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5976 +[2025-03-11 02:54:27,183 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5661 +[2025-03-11 02:54:27,219 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6535 +[2025-03-11 02:54:27,258 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.4418 +[2025-03-11 02:54:27,320 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0181 +[2025-03-11 02:54:27,370 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6582 +[2025-03-11 02:54:27,417 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.3464 +[2025-03-11 02:54:27,458 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2268 +[2025-03-11 02:54:27,496 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0678 +[2025-03-11 02:54:27,531 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1166 +[2025-03-11 02:54:27,564 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8350 +[2025-03-11 02:54:27,596 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0331 +[2025-03-11 02:54:27,635 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.2958 +[2025-03-11 02:54:27,663 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.0585 +[2025-03-11 02:54:27,702 INFO hook.py line 748 2389709] Test: [54/78] Loss 1.9860 +[2025-03-11 02:54:27,740 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0544 +[2025-03-11 02:54:27,784 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.4160 +[2025-03-11 02:54:27,817 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.4739 +[2025-03-11 02:54:27,845 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1909 +[2025-03-11 02:54:27,884 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7637 +[2025-03-11 02:54:27,921 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7112 +[2025-03-11 02:54:27,947 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9260 +[2025-03-11 02:54:27,982 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0635 +[2025-03-11 02:54:28,019 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3131 +[2025-03-11 02:54:28,079 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5659 +[2025-03-11 02:54:28,107 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1828 +[2025-03-11 02:54:28,150 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.1878 +[2025-03-11 02:54:28,189 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1673 +[2025-03-11 02:54:28,224 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1394 +[2025-03-11 02:54:28,255 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4221 +[2025-03-11 02:54:28,316 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9747 +[2025-03-11 02:54:28,365 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5323 +[2025-03-11 02:54:28,420 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4414 +[2025-03-11 02:54:28,473 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7325 +[2025-03-11 02:54:28,516 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.1031 +[2025-03-11 02:54:28,567 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7489 +[2025-03-11 02:54:28,596 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6250 +[2025-03-11 02:54:28,655 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6354 +[2025-03-11 02:54:28,682 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9567 +[2025-03-11 02:54:29,790 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:54:29,791 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:54:29,791 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] wall : 0.7732 0.8986 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] chair : 0.7025 0.8894 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] floor : 0.9523 0.9801 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] table : 0.5916 0.6710 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] door : 0.6085 0.6778 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] couch : 0.7026 0.7700 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] cabinet : 0.3145 0.4949 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] shelf : 0.4114 0.6913 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] desk : 0.5179 0.8124 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] office chair : 0.1640 0.2147 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] bed : 0.7405 0.8013 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] pillow : 0.3865 0.8102 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] sink : 0.6189 0.7656 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] picture : 0.3447 0.4935 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] window : 0.5326 0.6840 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] toilet : 0.8863 0.9839 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] bookshelf : 0.4107 0.4666 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] monitor : 0.7912 0.9106 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] curtain : 0.6406 0.8339 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] book : 0.4043 0.5621 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] armchair : 0.4231 0.4783 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] coffee table : 0.5838 0.6630 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] box : 0.2483 0.3879 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] refrigerator : 0.5887 0.6025 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] lamp : 0.4853 0.8412 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] kitchen cabinet: 0.6388 0.7996 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] towel : 0.4138 0.5630 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] clothes : 0.1604 0.4537 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] tv : 0.7833 0.8613 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] nightstand : 0.5995 0.8388 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] counter : 0.1889 0.2518 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] dresser : 0.3645 0.5245 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] stool : 0.5472 0.7343 +[2025-03-11 02:54:29,791 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] plant : 0.5726 0.9310 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] ceiling : 0.9145 0.9385 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] bathtub : 0.8297 0.8499 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] end table : 0.3118 0.4323 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] dining table : 0.0004 0.0004 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] keyboard : 0.3598 0.4173 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] bag : 0.1066 0.5746 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] backpack : 0.5282 0.6565 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] toilet paper : 0.4611 0.6239 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] printer : 0.2899 0.6179 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] tv stand : 0.3816 0.3963 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] whiteboard : 0.4409 0.6141 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] blanket : 0.0015 0.0020 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] shower curtain : 0.6327 0.8402 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] trash can : 0.5806 0.8604 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] closet : 0.0285 0.0294 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] stairs : 0.4436 0.5024 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] microwave : 0.5182 0.6144 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] stove : 0.4883 0.8169 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] shoe : 0.4780 0.6749 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] computer tower : 0.5616 0.7976 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] bottle : 0.1069 0.5150 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] bin : 0.0018 0.0058 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] ottoman : 0.2184 0.2669 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] bench : 0.1389 0.1436 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] board : 0.1123 0.1930 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] washing machine: 0.7872 0.8959 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] mirror : 0.3131 0.4549 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] copier : 0.6463 0.9037 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] sofa chair : 0.0403 0.0534 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] file cabinet : 0.4465 0.5572 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] fan : 0.2862 0.4363 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] laptop : 0.4208 0.6122 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] shower : 0.1931 0.2255 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] paper : 0.0349 0.0484 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] person : 0.1712 0.7406 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] paper towel dispenser: 0.7084 0.8224 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] oven : 0.0717 0.1002 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] blinds : 0.0240 0.0328 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:54:29,792 INFO hook.py line 689 2389709] blackboard : 0.5153 0.6245 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] piano : 0.3538 0.4246 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] suitcase : 0.3887 0.4565 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] rail : 0.0225 0.0241 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] radiator : 0.5363 0.6723 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] recycling bin : 0.4550 0.4886 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] wardrobe : 0.0667 0.0679 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] soap dispenser : 0.6439 0.9169 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] telephone : 0.2551 0.3767 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] bucket : 0.2033 0.2622 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] clock : 0.1337 0.1496 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] stand : 0.0024 0.0251 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] light : 0.0366 0.0464 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] laundry basket : 0.0006 0.0008 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] pipe : 0.0274 0.0473 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] clothes dryer : 0.3391 0.3487 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] guitar : 0.4479 0.7265 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] toilet paper holder: 0.0042 0.0172 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] ladder : 0.2272 0.6388 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] bathroom stall : 0.4387 0.5853 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] shower wall : 0.4975 0.6602 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] cup : 0.1614 0.3833 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] jacket : 0.1305 0.1492 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] storage bin : 0.0473 0.1093 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] coffee maker : 0.8522 0.9464 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] dishwasher : 0.2424 0.5859 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] paper towel roll: 0.0823 0.0931 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] mat : 0.1977 0.2504 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] windowsill : 0.1299 0.1438 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] bar : 0.1346 0.2389 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] bulletin board : 0.1494 0.1649 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] ironing board : 0.1395 0.2728 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] fireplace : 0.4849 0.5571 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] soap dish : 0.3183 0.5556 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] kitchen counter: 0.5258 0.6879 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] doorframe : 0.3730 0.6121 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3477 0.4593 +[2025-03-11 02:54:29,793 INFO hook.py line 689 2389709] mini fridge : 0.3056 0.3302 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] fire extinguisher: 0.0493 0.0902 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] ball : 0.0736 0.9306 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] shower curtain rod: 0.3035 0.7714 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] water cooler : 0.4623 0.6875 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] paper cutter : 0.0368 0.0382 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] tray : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] shower door : 0.1199 0.1265 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] ledge : 0.0339 0.0424 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] mouse : 0.0411 0.4356 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.2612 0.2770 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] cart : 0.1118 0.1336 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] scale : 0.4755 0.9181 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] tissue box : 0.1343 0.5322 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] light switch : 0.0513 0.1963 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] power outlet : 0.0953 0.1075 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] decoration : 0.2779 0.6011 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] sign : 0.0374 0.0875 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] projector : 0.0906 0.9296 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] closet door : 0.1148 0.1565 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] vacuum cleaner : 0.5355 0.9496 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] plunger : 0.1126 0.9870 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] dish rack : 0.3361 0.9261 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] broom : 0.0261 0.4172 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] range hood : 0.5313 0.6060 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] dustpan : 0.0256 0.2117 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] hair dryer : 0.0033 0.0059 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] water bottle : 0.0255 0.2012 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] handicap bar : 0.0433 0.6945 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] vent : 0.0064 0.0660 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] shower floor : 0.5143 0.7158 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:54:29,794 INFO hook.py line 689 2389709] mailbox : 0.3089 0.3096 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] bowl : 0.0062 0.0190 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] paper bag : 0.0009 0.0009 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] projector screen: 0.0334 0.0501 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] divider : 0.4061 0.4378 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] laundry detergent: 0.0905 0.1014 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] bathroom counter: 0.2202 0.2347 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] object : 0.0444 0.1475 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] bathroom vanity: 0.4613 0.8305 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] closet wall : 0.0722 0.2440 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] laundry hamper : 0.0003 0.0003 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] bathroom stall door: 0.5341 0.7100 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] ceiling light : 0.4660 0.7082 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] trash bin : 0.3135 0.4165 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] dumbbell : 0.2635 0.9690 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] stair rail : 0.0422 0.0453 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] tube : 0.0366 0.1513 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] bathroom cabinet: 0.0147 0.0151 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] closet rod : 0.4330 0.8715 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] coffee kettle : 0.0478 0.0711 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] shower head : 0.2736 0.3015 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] coat rack : 0.0056 0.0336 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] folded chair : 0.0070 0.0246 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 02:54:29,795 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:54:29,795 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2520/0.3762/0.7922. +[2025-03-11 02:54:29,796 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:54:29,814 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2808 +[2025-03-11 02:54:29,814 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:54:59,745 INFO hook.py line 566 2389709] Train: [32/100][50/300] Data 0.002 (0.002) Batch 0.504 (0.494) Remain 02:49:57 loss: 0.6951 Lr: 4.12130e-03 +[2025-03-11 02:55:24,824 INFO hook.py line 566 2389709] Train: [32/100][100/300] Data 0.002 (0.002) Batch 0.514 (0.498) Remain 02:50:55 loss: 0.8882 Lr: 4.11078e-03 +[2025-03-11 02:55:49,056 INFO hook.py line 566 2389709] Train: [32/100][150/300] Data 0.002 (0.002) Batch 0.505 (0.493) Remain 02:48:58 loss: 0.9091 Lr: 4.10022e-03 +[2025-03-11 02:56:14,069 INFO hook.py line 566 2389709] Train: [32/100][200/300] Data 0.002 (0.002) Batch 0.464 (0.495) Remain 02:49:09 loss: 0.9303 Lr: 4.08961e-03 +[2025-03-11 02:56:38,608 INFO hook.py line 566 2389709] Train: [32/100][250/300] Data 0.002 (0.002) Batch 0.455 (0.494) Remain 02:48:26 loss: 0.8957 Lr: 4.07895e-03 +[2025-03-11 02:57:02,419 INFO hook.py line 566 2389709] Train: [32/100][300/300] Data 0.001 (0.002) Batch 0.472 (0.491) Remain 02:47:00 loss: 0.9690 Lr: 4.06825e-03 +[2025-03-11 02:57:02,420 INFO misc.py line 135 2389709] Train result: loss: 0.8649 +[2025-03-11 02:57:02,516 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 02:57:51,252 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4589 +[2025-03-11 02:57:51,297 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.2078 +[2025-03-11 02:57:51,335 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8771 +[2025-03-11 02:57:51,387 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.6352 +[2025-03-11 02:57:51,426 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9129 +[2025-03-11 02:57:51,485 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0740 +[2025-03-11 02:57:51,537 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9462 +[2025-03-11 02:57:51,577 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3838 +[2025-03-11 02:57:51,624 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0485 +[2025-03-11 02:57:51,667 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2400 +[2025-03-11 02:57:51,715 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3121 +[2025-03-11 02:57:51,752 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8331 +[2025-03-11 02:57:51,803 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5609 +[2025-03-11 02:57:51,846 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.8330 +[2025-03-11 02:57:51,883 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9541 +[2025-03-11 02:57:51,942 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.6918 +[2025-03-11 02:57:51,983 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2123 +[2025-03-11 02:57:52,023 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8301 +[2025-03-11 02:57:52,067 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2212 +[2025-03-11 02:57:52,108 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5141 +[2025-03-11 02:57:52,143 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6722 +[2025-03-11 02:57:52,187 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8245 +[2025-03-11 02:57:52,218 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3023 +[2025-03-11 02:57:52,271 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0868 +[2025-03-11 02:57:52,313 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5304 +[2025-03-11 02:57:52,361 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.8342 +[2025-03-11 02:57:52,416 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6741 +[2025-03-11 02:57:52,457 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6517 +[2025-03-11 02:57:52,487 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0959 +[2025-03-11 02:57:52,562 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.1616 +[2025-03-11 02:57:52,630 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5259 +[2025-03-11 02:57:52,666 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0813 +[2025-03-11 02:57:52,729 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0033 +[2025-03-11 02:57:52,772 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.4119 +[2025-03-11 02:57:52,812 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2797 +[2025-03-11 02:57:52,858 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3173 +[2025-03-11 02:57:52,898 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.5138 +[2025-03-11 02:57:52,933 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7006 +[2025-03-11 02:57:53,001 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7906 +[2025-03-11 02:57:53,067 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6484 +[2025-03-11 02:57:53,113 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3382 +[2025-03-11 02:57:53,150 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4104 +[2025-03-11 02:57:53,191 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1850 +[2025-03-11 02:57:53,255 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8505 +[2025-03-11 02:57:53,288 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.0693 +[2025-03-11 02:57:53,337 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9043 +[2025-03-11 02:57:53,378 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0627 +[2025-03-11 02:57:53,412 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9421 +[2025-03-11 02:57:53,443 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3622 +[2025-03-11 02:57:53,476 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5693 +[2025-03-11 02:57:53,508 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8142 +[2025-03-11 02:57:53,543 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8985 +[2025-03-11 02:57:53,570 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3805 +[2025-03-11 02:57:53,609 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6332 +[2025-03-11 02:57:53,648 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3204 +[2025-03-11 02:57:53,693 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8165 +[2025-03-11 02:57:53,727 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5023 +[2025-03-11 02:57:53,755 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0536 +[2025-03-11 02:57:53,794 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9725 +[2025-03-11 02:57:53,830 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5544 +[2025-03-11 02:57:53,857 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8377 +[2025-03-11 02:57:53,893 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0474 +[2025-03-11 02:57:53,930 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1806 +[2025-03-11 02:57:53,991 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6222 +[2025-03-11 02:57:54,018 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.9351 +[2025-03-11 02:57:54,062 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6211 +[2025-03-11 02:57:54,101 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2520 +[2025-03-11 02:57:54,138 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7529 +[2025-03-11 02:57:54,168 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3531 +[2025-03-11 02:57:54,229 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9512 +[2025-03-11 02:57:54,277 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5809 +[2025-03-11 02:57:54,332 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7291 +[2025-03-11 02:57:54,385 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5193 +[2025-03-11 02:57:54,428 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.3661 +[2025-03-11 02:57:54,481 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7054 +[2025-03-11 02:57:54,511 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8093 +[2025-03-11 02:57:54,570 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6528 +[2025-03-11 02:57:54,596 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9017 +[2025-03-11 02:57:55,983 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 02:57:55,983 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 02:57:55,984 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] wall : 0.7795 0.9353 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] chair : 0.7341 0.8994 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] floor : 0.9553 0.9825 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] table : 0.6423 0.7856 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] door : 0.6051 0.7133 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] couch : 0.7157 0.9163 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] cabinet : 0.3267 0.5880 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] shelf : 0.3527 0.4435 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] desk : 0.5342 0.7172 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] office chair : 0.0943 0.1106 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] bed : 0.7461 0.9345 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] pillow : 0.5155 0.6865 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] sink : 0.6186 0.7020 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] picture : 0.3389 0.4035 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] window : 0.5390 0.6689 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] toilet : 0.9037 0.9349 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] bookshelf : 0.4670 0.6534 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] monitor : 0.7764 0.8258 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] curtain : 0.6747 0.7636 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] book : 0.4251 0.7495 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] armchair : 0.3635 0.3985 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] coffee table : 0.6787 0.8706 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] box : 0.2882 0.3863 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] refrigerator : 0.5993 0.6797 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] lamp : 0.6266 0.7288 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] kitchen cabinet: 0.6517 0.7426 +[2025-03-11 02:57:55,984 INFO hook.py line 689 2389709] towel : 0.4427 0.6430 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] clothes : 0.2144 0.4014 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] tv : 0.8563 0.9040 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] nightstand : 0.5908 0.8079 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] counter : 0.2946 0.5992 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] dresser : 0.3265 0.6755 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] stool : 0.3657 0.4494 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] plant : 0.7137 0.8541 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] ceiling : 0.9302 0.9667 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] bathtub : 0.8662 0.9027 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] end table : 0.1717 0.3037 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] dining table : 0.0322 0.0394 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] keyboard : 0.3757 0.5638 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] bag : 0.0870 0.1077 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] backpack : 0.5634 0.7237 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] toilet paper : 0.4262 0.5296 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] printer : 0.3051 0.8839 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] tv stand : 0.6471 0.9560 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] whiteboard : 0.4656 0.5490 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] blanket : 0.0023 0.0023 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] shower curtain : 0.6458 0.6973 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] trash can : 0.6237 0.7808 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] closet : 0.0400 0.0488 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] stairs : 0.6205 0.6635 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] microwave : 0.4700 0.6265 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] stove : 0.6488 0.8656 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] shoe : 0.3764 0.4450 +[2025-03-11 02:57:55,985 INFO hook.py line 689 2389709] computer tower : 0.4404 0.7512 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] bottle : 0.1182 0.2196 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] ottoman : 0.4098 0.5207 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] bench : 0.2201 0.2667 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] board : 0.1747 0.2727 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] washing machine: 0.7883 0.8254 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] mirror : 0.3869 0.4931 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] copier : 0.7563 0.9283 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] sofa chair : 0.1383 0.2710 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] file cabinet : 0.4770 0.5808 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] fan : 0.2240 0.2589 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] laptop : 0.4500 0.5731 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] shower : 0.2595 0.3147 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] paper : 0.0535 0.0812 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] person : 0.2117 0.4856 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] paper towel dispenser: 0.6481 0.7390 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] oven : 0.0355 0.0549 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] blinds : 0.0009 0.0010 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] blackboard : 0.5725 0.6149 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] piano : 0.2295 0.4140 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] suitcase : 0.4690 0.7509 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] rail : 0.0326 0.0334 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] radiator : 0.5476 0.6294 +[2025-03-11 02:57:55,986 INFO hook.py line 689 2389709] recycling bin : 0.4571 0.5132 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] wardrobe : 0.2346 0.4298 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] soap dispenser : 0.6539 0.7749 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] telephone : 0.2886 0.5996 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] bucket : 0.3693 0.4436 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] clock : 0.2662 0.3485 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] light : 0.0212 0.0295 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] pipe : 0.1116 0.1279 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] clothes dryer : 0.3509 0.3700 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] guitar : 0.3164 0.5302 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] ladder : 0.5415 0.6072 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] bathroom stall : 0.2671 0.2804 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] shower wall : 0.5135 0.6690 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] cup : 0.1692 0.3199 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] jacket : 0.1352 0.1539 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] storage bin : 0.0268 0.0269 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] coffee maker : 0.7094 0.9916 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] dishwasher : 0.0388 0.0485 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] paper towel roll: 0.1573 0.1796 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 02:57:55,987 INFO hook.py line 689 2389709] mat : 0.1367 0.1490 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] windowsill : 0.2274 0.2912 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] bar : 0.1813 0.2601 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] bulletin board : 0.2519 0.3207 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] ironing board : 0.0546 0.0552 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] fireplace : 0.5260 0.5508 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] soap dish : 0.3098 0.3774 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] kitchen counter: 0.3958 0.4398 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] doorframe : 0.3616 0.4730 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2888 0.3503 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] mini fridge : 0.2855 0.2971 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] ball : 0.4573 0.6620 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] shower curtain rod: 0.3489 0.8422 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] water cooler : 0.6379 0.6428 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] paper cutter : 0.2422 0.3163 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] tray : 0.0135 0.0188 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] shower door : 0.1080 0.1192 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] pillar : 0.0132 0.0133 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] ledge : 0.0382 0.0434 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] toaster oven : 0.1820 0.2058 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] mouse : 0.0213 0.5565 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6343 0.6967 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] cart : 0.2465 0.2677 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] scale : 0.3575 0.9582 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] tissue box : 0.1981 0.2476 +[2025-03-11 02:57:55,988 INFO hook.py line 689 2389709] light switch : 0.0563 0.2073 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] power outlet : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] decoration : 0.0815 0.1165 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] sign : 0.0482 0.0550 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] projector : 0.1384 1.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] closet door : 0.1931 0.2918 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] vacuum cleaner : 0.8162 0.9762 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] plunger : 0.7348 0.9587 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] dish rack : 0.3372 0.5748 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] broom : 0.0270 0.0287 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] range hood : 0.7153 0.8560 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] dustpan : 0.1431 0.3493 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] handicap bar : 0.0313 0.1848 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] shower floor : 0.6385 0.9289 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] mailbox : 0.0336 0.0336 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] bowl : 0.0121 0.0157 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] paper bag : 0.0897 0.2207 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 02:57:55,989 INFO hook.py line 689 2389709] divider : 0.3629 0.3816 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] laundry detergent: 0.0423 0.0460 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] bathroom counter: 0.2809 0.3176 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] object : 0.0462 0.0780 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] bathroom vanity: 0.4759 0.6298 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] closet wall : 0.0575 0.0778 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] laundry hamper : 0.0094 0.0118 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] bathroom stall door: 0.5300 0.6958 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] ceiling light : 0.1878 0.1980 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] trash bin : 0.2439 0.3702 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] dumbbell : 0.6178 0.9750 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] stair rail : 0.1662 0.1880 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] tube : 0.0234 0.0253 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] bathroom cabinet: 0.3303 0.5997 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] closet rod : 0.3460 0.8560 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] shower head : 0.2277 0.3352 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] case of water bottles: 0.0847 0.0847 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] fire alarm : 0.0823 0.8636 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] calendar : 0.0137 0.0281 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] potted plant : 0.0112 0.0189 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 02:57:55,990 INFO hook.py line 689 2389709] mattress : 0.0071 0.0078 +[2025-03-11 02:57:55,991 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 02:57:55,991 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2755/0.3724/0.8071. +[2025-03-11 02:57:55,991 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 02:57:56,009 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2808 +[2025-03-11 02:57:56,009 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 02:58:26,185 INFO hook.py line 566 2389709] Train: [33/100][50/300] Data 0.002 (0.002) Batch 0.546 (0.500) Remain 02:49:25 loss: 0.7489 Lr: 4.05749e-03 +[2025-03-11 02:58:50,571 INFO hook.py line 566 2389709] Train: [33/100][100/300] Data 0.002 (0.002) Batch 0.485 (0.493) Remain 02:46:56 loss: 0.9760 Lr: 4.04669e-03 +[2025-03-11 02:59:15,223 INFO hook.py line 566 2389709] Train: [33/100][150/300] Data 0.003 (0.002) Batch 0.499 (0.493) Remain 02:46:29 loss: 0.6947 Lr: 4.03585e-03 +[2025-03-11 02:59:39,663 INFO hook.py line 566 2389709] Train: [33/100][200/300] Data 0.002 (0.002) Batch 0.517 (0.492) Remain 02:45:41 loss: 0.9593 Lr: 4.02495e-03 +[2025-03-11 03:00:04,056 INFO hook.py line 566 2389709] Train: [33/100][250/300] Data 0.002 (0.002) Batch 0.522 (0.491) Remain 02:44:59 loss: 0.8303 Lr: 4.01401e-03 +[2025-03-11 03:00:28,083 INFO hook.py line 566 2389709] Train: [33/100][300/300] Data 0.002 (0.002) Batch 0.642 (0.489) Remain 02:43:58 loss: 0.8510 Lr: 4.00302e-03 +[2025-03-11 03:00:28,083 INFO misc.py line 135 2389709] Train result: loss: 0.8507 +[2025-03-11 03:00:28,179 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:01:29,345 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5234 +[2025-03-11 03:01:29,390 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1591 +[2025-03-11 03:01:29,435 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7003 +[2025-03-11 03:01:29,484 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4426 +[2025-03-11 03:01:29,517 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9305 +[2025-03-11 03:01:29,575 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0013 +[2025-03-11 03:01:29,631 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7050 +[2025-03-11 03:01:29,661 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4051 +[2025-03-11 03:01:29,706 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2875 +[2025-03-11 03:01:29,747 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0649 +[2025-03-11 03:01:29,798 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1309 +[2025-03-11 03:01:29,830 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0845 +[2025-03-11 03:01:29,879 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.9033 +[2025-03-11 03:01:29,920 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.5592 +[2025-03-11 03:01:29,957 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8848 +[2025-03-11 03:01:30,003 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1584 +[2025-03-11 03:01:30,044 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.9569 +[2025-03-11 03:01:30,081 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8688 +[2025-03-11 03:01:30,125 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3046 +[2025-03-11 03:01:30,165 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3948 +[2025-03-11 03:01:30,201 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7090 +[2025-03-11 03:01:30,242 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7033 +[2025-03-11 03:01:30,270 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2768 +[2025-03-11 03:01:30,322 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.3550 +[2025-03-11 03:01:30,366 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7187 +[2025-03-11 03:01:30,409 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.7999 +[2025-03-11 03:01:30,462 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.4928 +[2025-03-11 03:01:30,499 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6101 +[2025-03-11 03:01:30,534 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8781 +[2025-03-11 03:01:30,590 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1423 +[2025-03-11 03:01:30,656 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6286 +[2025-03-11 03:01:30,695 INFO hook.py line 748 2389709] Test: [32/78] Loss 0.9788 +[2025-03-11 03:01:30,752 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0306 +[2025-03-11 03:01:30,792 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1932 +[2025-03-11 03:01:30,830 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2870 +[2025-03-11 03:01:30,870 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3669 +[2025-03-11 03:01:30,909 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4045 +[2025-03-11 03:01:30,941 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6970 +[2025-03-11 03:01:31,009 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7882 +[2025-03-11 03:01:31,073 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3822 +[2025-03-11 03:01:31,117 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1228 +[2025-03-11 03:01:31,153 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5689 +[2025-03-11 03:01:31,193 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3919 +[2025-03-11 03:01:31,255 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9493 +[2025-03-11 03:01:31,298 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.0691 +[2025-03-11 03:01:31,349 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9345 +[2025-03-11 03:01:31,387 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0572 +[2025-03-11 03:01:31,421 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0927 +[2025-03-11 03:01:31,453 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.0881 +[2025-03-11 03:01:31,485 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8296 +[2025-03-11 03:01:31,515 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0859 +[2025-03-11 03:01:31,549 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.2057 +[2025-03-11 03:01:31,576 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4432 +[2025-03-11 03:01:31,611 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.5697 +[2025-03-11 03:01:31,649 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1612 +[2025-03-11 03:01:31,689 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8765 +[2025-03-11 03:01:31,723 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1331 +[2025-03-11 03:01:31,748 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0586 +[2025-03-11 03:01:31,787 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7276 +[2025-03-11 03:01:31,824 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7639 +[2025-03-11 03:01:31,850 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8401 +[2025-03-11 03:01:31,884 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9734 +[2025-03-11 03:01:31,921 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2597 +[2025-03-11 03:01:31,979 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6401 +[2025-03-11 03:01:32,008 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2316 +[2025-03-11 03:01:32,051 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8974 +[2025-03-11 03:01:32,090 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8022 +[2025-03-11 03:01:32,125 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9536 +[2025-03-11 03:01:32,156 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3336 +[2025-03-11 03:01:32,217 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8950 +[2025-03-11 03:01:32,261 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5028 +[2025-03-11 03:01:32,316 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8744 +[2025-03-11 03:01:32,369 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6864 +[2025-03-11 03:01:32,412 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8521 +[2025-03-11 03:01:32,464 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4815 +[2025-03-11 03:01:32,492 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6540 +[2025-03-11 03:01:32,550 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5980 +[2025-03-11 03:01:32,577 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0380 +[2025-03-11 03:01:34,044 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:01:34,044 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:01:34,044 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:01:34,044 INFO hook.py line 689 2389709] wall : 0.7884 0.8836 +[2025-03-11 03:01:34,044 INFO hook.py line 689 2389709] chair : 0.7299 0.8482 +[2025-03-11 03:01:34,044 INFO hook.py line 689 2389709] floor : 0.9573 0.9802 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] table : 0.6308 0.7516 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] door : 0.6165 0.7635 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] couch : 0.7897 0.9039 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] cabinet : 0.3613 0.5663 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] shelf : 0.2795 0.3268 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] desk : 0.5628 0.8472 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] office chair : 0.1246 0.1624 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] bed : 0.7509 0.8903 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] pillow : 0.4956 0.7292 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] sink : 0.6539 0.7758 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] picture : 0.3252 0.3737 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] window : 0.5721 0.7518 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] toilet : 0.9230 0.9590 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] bookshelf : 0.4302 0.6914 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] monitor : 0.8430 0.9234 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] curtain : 0.6665 0.8466 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] book : 0.3977 0.7783 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] armchair : 0.5572 0.8558 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] coffee table : 0.6883 0.8029 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] box : 0.3181 0.4506 +[2025-03-11 03:01:34,045 INFO hook.py line 689 2389709] refrigerator : 0.6517 0.6919 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] lamp : 0.6709 0.7696 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] kitchen cabinet: 0.6279 0.7067 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] towel : 0.4682 0.7800 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] clothes : 0.1685 0.3852 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] tv : 0.8201 0.8789 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] nightstand : 0.7008 0.8492 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] counter : 0.2212 0.2916 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] dresser : 0.3330 0.4539 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] stool : 0.5176 0.7392 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] plant : 0.6424 0.8840 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] ceiling : 0.9174 0.9573 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] bathtub : 0.8208 0.9299 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] end table : 0.4217 0.6825 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] dining table : 0.0421 0.0460 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] keyboard : 0.3971 0.6222 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] bag : 0.2136 0.3441 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] backpack : 0.5971 0.6831 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] toilet paper : 0.4404 0.6054 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] printer : 0.3585 0.6443 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] tv stand : 0.5440 0.9721 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] whiteboard : 0.4766 0.7551 +[2025-03-11 03:01:34,046 INFO hook.py line 689 2389709] blanket : 0.0159 0.0219 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] shower curtain : 0.6346 0.7171 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] trash can : 0.6630 0.8018 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] closet : 0.1106 0.1478 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] stairs : 0.5264 0.6276 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] microwave : 0.5182 0.5854 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] stove : 0.5796 0.7698 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] shoe : 0.4070 0.5296 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] computer tower : 0.6267 0.7806 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] bottle : 0.1338 0.3124 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] ottoman : 0.1666 0.1743 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] bench : 0.2573 0.3948 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] board : 0.1070 0.3116 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] washing machine: 0.7392 0.8002 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] mirror : 0.3385 0.3792 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] copier : 0.8187 0.9339 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] sofa chair : 0.0952 0.1146 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] file cabinet : 0.4873 0.6360 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] fan : 0.1186 0.1364 +[2025-03-11 03:01:34,047 INFO hook.py line 689 2389709] laptop : 0.3220 0.4314 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] shower : 0.2718 0.3419 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] paper : 0.0798 0.1524 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] person : 0.3153 0.4619 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] paper towel dispenser: 0.5622 0.6128 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] oven : 0.0015 0.0017 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] blinds : 0.0367 0.0429 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] blackboard : 0.5862 0.6253 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] piano : 0.2824 0.7652 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] suitcase : 0.4941 0.8463 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] rail : 0.0157 0.0167 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] radiator : 0.6182 0.7727 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] recycling bin : 0.5028 0.5821 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] container : 0.0006 0.0007 +[2025-03-11 03:01:34,048 INFO hook.py line 689 2389709] wardrobe : 0.1839 0.3835 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] soap dispenser : 0.6242 0.6489 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] telephone : 0.3814 0.5711 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] bucket : 0.4252 0.5155 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] clock : 0.2137 0.3277 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] light : 0.0305 0.0356 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] laundry basket : 0.0031 0.0033 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] pipe : 0.0483 0.0646 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] clothes dryer : 0.5968 0.6865 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] guitar : 0.4625 0.5974 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] seat : 0.0005 0.0005 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] column : 0.0441 0.2433 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] ladder : 0.4970 0.6067 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] bathroom stall : 0.4840 0.5738 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] shower wall : 0.4632 0.7064 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] cup : 0.1748 0.4194 +[2025-03-11 03:01:34,049 INFO hook.py line 689 2389709] jacket : 0.1496 0.3632 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] storage bin : 0.0562 0.0716 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] coffee maker : 0.6181 0.9931 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] dishwasher : 0.2217 0.2821 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] paper towel roll: 0.0318 0.0318 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] mat : 0.0869 0.1002 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] windowsill : 0.2570 0.4800 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] bar : 0.1144 0.1916 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] toaster : 0.0037 0.0038 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] bulletin board : 0.2097 0.4191 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] ironing board : 0.1147 0.1195 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] fireplace : 0.5972 0.6197 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] soap dish : 0.3352 0.4922 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] kitchen counter: 0.5291 0.7196 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] doorframe : 0.3449 0.7249 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4230 0.6718 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] mini fridge : 0.4386 0.5875 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] fire extinguisher: 0.0438 0.1169 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] ball : 0.4401 0.5026 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] shower curtain rod: 0.3296 0.8603 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] water cooler : 0.6561 0.6901 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] paper cutter : 0.1969 0.2639 +[2025-03-11 03:01:34,050 INFO hook.py line 689 2389709] tray : 0.0376 0.0937 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] shower door : 0.1455 0.2688 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] pillar : 0.0035 0.0039 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] ledge : 0.0087 0.0098 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] toaster oven : 0.0717 0.0730 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] mouse : 0.0797 0.2832 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6983 0.8035 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] cart : 0.1074 0.1144 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] scale : 0.2832 0.8607 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] tissue box : 0.2016 0.2642 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] light switch : 0.0403 0.3043 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] power outlet : 0.1190 0.2938 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] decoration : 0.2757 0.5179 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] sign : 0.0406 0.0515 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] closet door : 0.1747 0.2071 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] vacuum cleaner : 0.8392 0.8725 +[2025-03-11 03:01:34,051 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] plunger : 0.4950 0.9457 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] headphones : 0.0158 0.0175 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] dish rack : 0.5753 0.8369 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] broom : 0.0509 0.1289 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] range hood : 0.5581 0.6112 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] dustpan : 0.0280 0.0769 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] handicap bar : 0.0399 0.9078 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] shower floor : 0.2001 0.9961 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] mailbox : 0.4132 0.5071 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] bowl : 0.0194 0.0242 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] paper bag : 0.0642 0.0959 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] projector screen: 0.0024 0.0030 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] divider : 0.5551 0.6662 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] laundry detergent: 0.0090 0.0092 +[2025-03-11 03:01:34,052 INFO hook.py line 689 2389709] bathroom counter: 0.2541 0.3545 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] object : 0.0413 0.0938 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] bathroom vanity: 0.5034 0.7043 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] closet wall : 0.0912 0.2594 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] laundry hamper : 0.0781 0.1045 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] bathroom stall door: 0.5118 0.7216 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] ceiling light : 0.2623 0.3203 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] trash bin : 0.2196 0.2784 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] dumbbell : 0.3586 0.9565 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] stair rail : 0.2272 0.2873 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] tube : 0.0777 0.1009 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] bathroom cabinet: 0.4178 0.5931 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] closet rod : 0.3540 0.8044 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] shower head : 0.2301 0.2567 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] case of water bottles: 0.0137 0.0137 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] coat rack : 0.0206 0.0924 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 03:01:34,053 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:01:34,054 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:01:34,054 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:01:34,054 INFO hook.py line 689 2389709] potted plant : 0.0156 0.0708 +[2025-03-11 03:01:34,054 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:01:34,054 INFO hook.py line 689 2389709] mattress : 0.0401 0.0409 +[2025-03-11 03:01:34,054 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:01:34,054 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2832/0.3948/0.8072. +[2025-03-11 03:01:34,055 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:01:34,073 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2832 +[2025-03-11 03:01:34,073 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 +[2025-03-11 03:01:34,073 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:02:05,199 INFO hook.py line 566 2389709] Train: [34/100][50/300] Data 0.004 (0.002) Batch 0.516 (0.495) Remain 02:45:14 loss: 0.9717 Lr: 3.99199e-03 +[2025-03-11 03:02:29,476 INFO hook.py line 566 2389709] Train: [34/100][100/300] Data 0.002 (0.002) Batch 0.466 (0.490) Remain 02:43:17 loss: 0.8833 Lr: 3.98091e-03 +[2025-03-11 03:02:54,481 INFO hook.py line 566 2389709] Train: [34/100][150/300] Data 0.002 (0.002) Batch 0.462 (0.493) Remain 02:44:02 loss: 0.7825 Lr: 3.97001e-03 +[2025-03-11 03:03:18,863 INFO hook.py line 566 2389709] Train: [34/100][200/300] Data 0.002 (0.002) Batch 0.458 (0.492) Remain 02:43:08 loss: 1.0513 Lr: 3.95885e-03 +[2025-03-11 03:03:43,773 INFO hook.py line 566 2389709] Train: [34/100][250/300] Data 0.002 (0.002) Batch 0.547 (0.493) Remain 02:43:09 loss: 0.7371 Lr: 3.94763e-03 +[2025-03-11 03:04:07,872 INFO hook.py line 566 2389709] Train: [34/100][300/300] Data 0.002 (0.002) Batch 0.514 (0.491) Remain 02:42:07 loss: 1.0172 Lr: 3.93638e-03 +[2025-03-11 03:04:07,874 INFO misc.py line 135 2389709] Train result: loss: 0.8485 +[2025-03-11 03:04:07,963 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:04:57,177 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4995 +[2025-03-11 03:04:57,228 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6350 +[2025-03-11 03:04:57,267 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7714 +[2025-03-11 03:04:57,318 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4941 +[2025-03-11 03:04:57,357 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9273 +[2025-03-11 03:04:57,419 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2503 +[2025-03-11 03:04:57,472 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8918 +[2025-03-11 03:04:57,506 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3854 +[2025-03-11 03:04:57,555 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0341 +[2025-03-11 03:04:57,594 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2008 +[2025-03-11 03:04:57,642 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2476 +[2025-03-11 03:04:57,679 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8725 +[2025-03-11 03:04:57,744 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0749 +[2025-03-11 03:04:57,783 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7604 +[2025-03-11 03:04:57,819 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9032 +[2025-03-11 03:04:57,866 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1379 +[2025-03-11 03:04:57,904 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1227 +[2025-03-11 03:04:57,941 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.6390 +[2025-03-11 03:04:57,987 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4194 +[2025-03-11 03:04:58,026 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6234 +[2025-03-11 03:04:58,068 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8516 +[2025-03-11 03:04:58,113 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5653 +[2025-03-11 03:04:58,147 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4507 +[2025-03-11 03:04:58,203 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2347 +[2025-03-11 03:04:58,244 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7118 +[2025-03-11 03:04:58,288 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4454 +[2025-03-11 03:04:58,344 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7729 +[2025-03-11 03:04:58,387 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6811 +[2025-03-11 03:04:58,417 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2025 +[2025-03-11 03:04:58,473 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8340 +[2025-03-11 03:04:58,531 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6385 +[2025-03-11 03:04:58,577 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4913 +[2025-03-11 03:04:58,635 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9604 +[2025-03-11 03:04:58,679 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.2115 +[2025-03-11 03:04:58,720 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2820 +[2025-03-11 03:04:58,786 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3364 +[2025-03-11 03:04:58,829 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2254 +[2025-03-11 03:04:58,865 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0257 +[2025-03-11 03:04:58,934 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8810 +[2025-03-11 03:04:58,983 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6274 +[2025-03-11 03:04:59,032 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4186 +[2025-03-11 03:04:59,064 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4660 +[2025-03-11 03:04:59,110 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1818 +[2025-03-11 03:04:59,173 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9196 +[2025-03-11 03:04:59,217 INFO hook.py line 748 2389709] Test: [45/78] Loss 0.9045 +[2025-03-11 03:04:59,271 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9951 +[2025-03-11 03:04:59,313 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7611 +[2025-03-11 03:04:59,348 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3003 +[2025-03-11 03:04:59,384 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3078 +[2025-03-11 03:04:59,423 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5760 +[2025-03-11 03:04:59,458 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1451 +[2025-03-11 03:04:59,495 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5881 +[2025-03-11 03:04:59,526 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3587 +[2025-03-11 03:04:59,567 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6523 +[2025-03-11 03:04:59,610 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3551 +[2025-03-11 03:04:59,650 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9743 +[2025-03-11 03:04:59,689 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7615 +[2025-03-11 03:04:59,719 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1274 +[2025-03-11 03:04:59,760 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7268 +[2025-03-11 03:04:59,802 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6949 +[2025-03-11 03:04:59,831 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8658 +[2025-03-11 03:04:59,871 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0415 +[2025-03-11 03:04:59,908 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3826 +[2025-03-11 03:04:59,966 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6669 +[2025-03-11 03:04:59,998 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0235 +[2025-03-11 03:05:00,046 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4563 +[2025-03-11 03:05:00,085 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1794 +[2025-03-11 03:05:00,127 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7671 +[2025-03-11 03:05:00,164 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3581 +[2025-03-11 03:05:00,231 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6565 +[2025-03-11 03:05:00,274 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5889 +[2025-03-11 03:05:00,332 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5024 +[2025-03-11 03:05:00,389 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5005 +[2025-03-11 03:05:00,434 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.6520 +[2025-03-11 03:05:00,487 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5687 +[2025-03-11 03:05:00,517 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7075 +[2025-03-11 03:05:00,579 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8292 +[2025-03-11 03:05:00,606 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8244 +[2025-03-11 03:05:01,841 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:05:01,841 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:05:01,842 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] wall : 0.7792 0.9228 +[2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] chair : 0.7389 0.9018 +[2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] floor : 0.9570 0.9797 +[2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] table : 0.6019 0.7011 +[2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] door : 0.5691 0.6306 +[2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] couch : 0.7850 0.8771 +[2025-03-11 03:05:01,842 INFO hook.py line 689 2389709] cabinet : 0.3490 0.5095 +[2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] shelf : 0.4109 0.6382 +[2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] desk : 0.5070 0.8562 +[2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] office chair : 0.1169 0.1377 +[2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] bed : 0.7314 0.9004 +[2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] pillow : 0.5438 0.7414 +[2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] sink : 0.6336 0.7000 +[2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] picture : 0.3362 0.4994 +[2025-03-11 03:05:01,843 INFO hook.py line 689 2389709] window : 0.4993 0.5724 +[2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] toilet : 0.9306 0.9496 +[2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] bookshelf : 0.4452 0.5670 +[2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] monitor : 0.7878 0.8681 +[2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] curtain : 0.6702 0.8799 +[2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] book : 0.4019 0.5968 +[2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] armchair : 0.4930 0.6437 +[2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] coffee table : 0.6142 0.7359 +[2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] box : 0.3191 0.4691 +[2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] refrigerator : 0.5906 0.6792 +[2025-03-11 03:05:01,844 INFO hook.py line 689 2389709] lamp : 0.6821 0.8125 +[2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] kitchen cabinet: 0.6402 0.9125 +[2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] towel : 0.4917 0.6802 +[2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] clothes : 0.1574 0.3451 +[2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] tv : 0.7820 0.8686 +[2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] nightstand : 0.6277 0.7700 +[2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] counter : 0.3040 0.4954 +[2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] dresser : 0.3642 0.4898 +[2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] stool : 0.4704 0.6721 +[2025-03-11 03:05:01,845 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] plant : 0.7792 0.8425 +[2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] ceiling : 0.9010 0.9463 +[2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] bathtub : 0.8714 0.9071 +[2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] end table : 0.1796 0.2612 +[2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] dining table : 0.0592 0.0666 +[2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] keyboard : 0.4168 0.6084 +[2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] bag : 0.2604 0.3450 +[2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] backpack : 0.5903 0.7546 +[2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] toilet paper : 0.4446 0.5268 +[2025-03-11 03:05:01,846 INFO hook.py line 689 2389709] printer : 0.3852 0.5388 +[2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] tv stand : 0.3979 0.5030 +[2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] whiteboard : 0.4828 0.6899 +[2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] blanket : 0.0734 0.0880 +[2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] shower curtain : 0.5292 0.5746 +[2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] trash can : 0.6031 0.7416 +[2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] closet : 0.1528 0.3404 +[2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] stairs : 0.4970 0.7091 +[2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] microwave : 0.5184 0.7492 +[2025-03-11 03:05:01,847 INFO hook.py line 689 2389709] stove : 0.6205 0.7483 +[2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] shoe : 0.4744 0.6741 +[2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] computer tower : 0.4235 0.8377 +[2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] bottle : 0.1214 0.2663 +[2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] bin : 0.0001 0.0001 +[2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] ottoman : 0.1754 0.1928 +[2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] bench : 0.2639 0.2935 +[2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] board : 0.1267 0.3046 +[2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] washing machine: 0.8119 0.9147 +[2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] mirror : 0.3348 0.4741 +[2025-03-11 03:05:01,848 INFO hook.py line 689 2389709] copier : 0.7987 0.9206 +[2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] basket : 0.0016 0.0055 +[2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] sofa chair : 0.1351 0.2337 +[2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] file cabinet : 0.4761 0.6051 +[2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] fan : 0.2231 0.2418 +[2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] laptop : 0.4604 0.6769 +[2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] shower : 0.0763 0.0796 +[2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] paper : 0.0783 0.1722 +[2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] person : 0.3751 0.4513 +[2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] paper towel dispenser: 0.4647 0.8186 +[2025-03-11 03:05:01,849 INFO hook.py line 689 2389709] oven : 0.1069 0.1218 +[2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] blinds : 0.0216 0.0248 +[2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] blackboard : 0.6015 0.6396 +[2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] piano : 0.5892 0.6700 +[2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] suitcase : 0.6708 0.7495 +[2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] rail : 0.0339 0.0373 +[2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] radiator : 0.5729 0.6886 +[2025-03-11 03:05:01,850 INFO hook.py line 689 2389709] recycling bin : 0.4883 0.6455 +[2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] container : 0.0016 0.0024 +[2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] wardrobe : 0.1282 0.1763 +[2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] soap dispenser : 0.7615 0.8762 +[2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] telephone : 0.2346 0.3201 +[2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] bucket : 0.2409 0.4138 +[2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] clock : 0.2608 0.2837 +[2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] light : 0.1933 0.2567 +[2025-03-11 03:05:01,851 INFO hook.py line 689 2389709] laundry basket : 0.0028 0.0029 +[2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] pipe : 0.1081 0.2083 +[2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] clothes dryer : 0.7794 0.8450 +[2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] guitar : 0.5427 0.8680 +[2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] column : 0.1360 0.1921 +[2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] ladder : 0.4189 0.5196 +[2025-03-11 03:05:01,852 INFO hook.py line 689 2389709] bathroom stall : 0.3814 0.4149 +[2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] shower wall : 0.4918 0.6690 +[2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] cup : 0.1952 0.4182 +[2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] jacket : 0.1553 0.1844 +[2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] storage bin : 0.0209 0.0253 +[2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] coffee maker : 0.4795 0.9934 +[2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] dishwasher : 0.0819 0.0981 +[2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] paper towel roll: 0.2443 0.3101 +[2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] mat : 0.1758 0.1994 +[2025-03-11 03:05:01,853 INFO hook.py line 689 2389709] windowsill : 0.1324 0.1423 +[2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] bar : 0.1383 0.2337 +[2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] bulletin board : 0.1316 0.1385 +[2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] ironing board : 0.0120 0.0184 +[2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] fireplace : 0.6310 0.6742 +[2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] soap dish : 0.3391 0.4381 +[2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] kitchen counter: 0.5911 0.7561 +[2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] doorframe : 0.3917 0.5951 +[2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2945 0.3566 +[2025-03-11 03:05:01,854 INFO hook.py line 689 2389709] mini fridge : 0.3817 0.6265 +[2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] fire extinguisher: 0.0564 0.1076 +[2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] ball : 0.5277 0.6143 +[2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] shower curtain rod: 0.2903 0.8907 +[2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] water cooler : 0.3662 0.3828 +[2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] paper cutter : 0.2067 0.3675 +[2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] tray : 0.0647 0.1138 +[2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] shower door : 0.2631 0.3058 +[2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] pillar : 0.0015 0.0016 +[2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] ledge : 0.0784 0.1212 +[2025-03-11 03:05:01,855 INFO hook.py line 689 2389709] toaster oven : 0.0080 0.0098 +[2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] mouse : 0.0742 0.2922 +[2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6882 0.8540 +[2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] cart : 0.0601 0.0645 +[2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] scale : 0.4214 0.9113 +[2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] tissue box : 0.1432 0.2057 +[2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] light switch : 0.0340 0.2910 +[2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] power outlet : 0.1812 0.2786 +[2025-03-11 03:05:01,856 INFO hook.py line 689 2389709] decoration : 0.3103 0.5909 +[2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] sign : 0.0500 0.2311 +[2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] projector : 0.0902 1.0000 +[2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] closet door : 0.0723 0.0905 +[2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] vacuum cleaner : 0.8546 0.8910 +[2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] plunger : 0.4167 0.9677 +[2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] dish rack : 0.5050 0.7927 +[2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] broom : 0.0000 0.0000 +[2025-03-11 03:05:01,857 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] range hood : 0.5579 0.6672 +[2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] handicap bar : 0.0264 0.3971 +[2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 +[2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] mailbox : 0.2730 0.2732 +[2025-03-11 03:05:01,858 INFO hook.py line 689 2389709] bowl : 0.0065 0.0079 +[2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] paper bag : 0.0823 0.1462 +[2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] divider : 0.4889 0.5619 +[2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] laundry detergent: 0.0522 0.0588 +[2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] bathroom counter: 0.3264 0.3707 +[2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] object : 0.0404 0.0715 +[2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] bathroom vanity: 0.3907 0.5664 +[2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] closet wall : 0.0382 0.0413 +[2025-03-11 03:05:01,859 INFO hook.py line 689 2389709] laundry hamper : 0.0324 0.0390 +[2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] bathroom stall door: 0.5628 0.6944 +[2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] ceiling light : 0.2493 0.3235 +[2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] trash bin : 0.2996 0.5289 +[2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] dumbbell : 0.3048 0.9779 +[2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] stair rail : 0.1283 0.1468 +[2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] tube : 0.0404 0.1574 +[2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] bathroom cabinet: 0.2551 0.6457 +[2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] closet rod : 0.2467 0.8252 +[2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] coffee kettle : 0.0371 0.0892 +[2025-03-11 03:05:01,860 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] shower head : 0.2060 0.2535 +[2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] case of water bottles: 0.0681 0.0681 +[2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] coat rack : 0.0225 0.0742 +[2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:05:01,861 INFO hook.py line 689 2389709] potted plant : 0.0794 0.2408 +[2025-03-11 03:05:01,862 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:05:01,862 INFO hook.py line 689 2389709] mattress : 0.0010 0.0010 +[2025-03-11 03:05:01,862 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:05:01,862 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2783/0.3827/0.8074. +[2025-03-11 03:05:01,863 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:05:01,877 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 +[2025-03-11 03:05:01,877 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:05:31,390 INFO hook.py line 566 2389709] Train: [35/100][50/300] Data 0.002 (0.003) Batch 0.556 (0.491) Remain 02:41:30 loss: 0.9128 Lr: 3.92508e-03 +[2025-03-11 03:05:56,185 INFO hook.py line 566 2389709] Train: [35/100][100/300] Data 0.002 (0.002) Batch 0.512 (0.493) Remain 02:41:58 loss: 0.5981 Lr: 3.91374e-03 +[2025-03-11 03:06:20,923 INFO hook.py line 566 2389709] Train: [35/100][150/300] Data 0.003 (0.002) Batch 0.478 (0.494) Remain 02:41:43 loss: 0.8963 Lr: 3.90235e-03 +[2025-03-11 03:06:45,138 INFO hook.py line 566 2389709] Train: [35/100][200/300] Data 0.003 (0.002) Batch 0.475 (0.491) Remain 02:40:31 loss: 0.8613 Lr: 3.89093e-03 +[2025-03-11 03:07:09,749 INFO hook.py line 566 2389709] Train: [35/100][250/300] Data 0.002 (0.002) Batch 0.460 (0.492) Remain 02:40:10 loss: 0.9030 Lr: 3.87946e-03 +[2025-03-11 03:07:33,572 INFO hook.py line 566 2389709] Train: [35/100][300/300] Data 0.002 (0.002) Batch 0.541 (0.489) Remain 02:38:56 loss: 0.8743 Lr: 3.86794e-03 +[2025-03-11 03:07:33,573 INFO misc.py line 135 2389709] Train result: loss: 0.8423 +[2025-03-11 03:07:33,669 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:08:27,418 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4315 +[2025-03-11 03:08:27,464 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.3142 +[2025-03-11 03:08:27,501 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6101 +[2025-03-11 03:08:27,550 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5441 +[2025-03-11 03:08:27,605 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0584 +[2025-03-11 03:08:27,672 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8575 +[2025-03-11 03:08:27,723 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0659 +[2025-03-11 03:08:27,761 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4663 +[2025-03-11 03:08:27,807 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1048 +[2025-03-11 03:08:27,854 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0241 +[2025-03-11 03:08:27,902 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2479 +[2025-03-11 03:08:27,939 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9231 +[2025-03-11 03:08:27,990 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4927 +[2025-03-11 03:08:28,032 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4211 +[2025-03-11 03:08:28,071 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0412 +[2025-03-11 03:08:28,137 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1632 +[2025-03-11 03:08:28,175 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3206 +[2025-03-11 03:08:28,212 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8799 +[2025-03-11 03:08:28,256 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2179 +[2025-03-11 03:08:28,292 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7667 +[2025-03-11 03:08:28,331 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6483 +[2025-03-11 03:08:28,375 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.4771 +[2025-03-11 03:08:28,412 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5390 +[2025-03-11 03:08:28,463 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.3094 +[2025-03-11 03:08:28,508 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7787 +[2025-03-11 03:08:28,555 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.9647 +[2025-03-11 03:08:28,610 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.2745 +[2025-03-11 03:08:28,650 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5316 +[2025-03-11 03:08:28,688 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1044 +[2025-03-11 03:08:28,746 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.1098 +[2025-03-11 03:08:28,804 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8164 +[2025-03-11 03:08:28,838 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2031 +[2025-03-11 03:08:28,900 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9127 +[2025-03-11 03:08:28,940 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.3277 +[2025-03-11 03:08:28,980 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1973 +[2025-03-11 03:08:29,019 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4848 +[2025-03-11 03:08:29,061 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0574 +[2025-03-11 03:08:29,094 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7820 +[2025-03-11 03:08:29,161 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8765 +[2025-03-11 03:08:29,207 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5303 +[2025-03-11 03:08:29,256 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3125 +[2025-03-11 03:08:29,284 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4477 +[2025-03-11 03:08:29,321 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2368 +[2025-03-11 03:08:29,382 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9552 +[2025-03-11 03:08:29,427 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3731 +[2025-03-11 03:08:29,476 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0152 +[2025-03-11 03:08:29,515 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1718 +[2025-03-11 03:08:29,548 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9619 +[2025-03-11 03:08:29,579 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4525 +[2025-03-11 03:08:29,611 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8092 +[2025-03-11 03:08:29,641 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9480 +[2025-03-11 03:08:29,676 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6053 +[2025-03-11 03:08:29,703 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2955 +[2025-03-11 03:08:29,737 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.7132 +[2025-03-11 03:08:29,775 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2566 +[2025-03-11 03:08:29,815 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8246 +[2025-03-11 03:08:29,848 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9859 +[2025-03-11 03:08:29,875 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8169 +[2025-03-11 03:08:29,913 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8847 +[2025-03-11 03:08:29,950 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4203 +[2025-03-11 03:08:29,974 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.6667 +[2025-03-11 03:08:30,010 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9469 +[2025-03-11 03:08:30,046 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3592 +[2025-03-11 03:08:30,104 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5967 +[2025-03-11 03:08:30,133 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.7451 +[2025-03-11 03:08:30,176 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7235 +[2025-03-11 03:08:30,216 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0840 +[2025-03-11 03:08:30,252 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0359 +[2025-03-11 03:08:30,283 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2968 +[2025-03-11 03:08:30,344 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1809 +[2025-03-11 03:08:30,388 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4470 +[2025-03-11 03:08:30,443 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7928 +[2025-03-11 03:08:30,497 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6427 +[2025-03-11 03:08:30,539 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.0356 +[2025-03-11 03:08:30,590 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6153 +[2025-03-11 03:08:30,619 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.5695 +[2025-03-11 03:08:30,678 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5367 +[2025-03-11 03:08:30,705 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2563 +[2025-03-11 03:08:31,960 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:08:31,960 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:08:31,960 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:08:31,960 INFO hook.py line 689 2389709] wall : 0.7804 0.9323 +[2025-03-11 03:08:31,960 INFO hook.py line 689 2389709] chair : 0.7263 0.9176 +[2025-03-11 03:08:31,960 INFO hook.py line 689 2389709] floor : 0.9563 0.9816 +[2025-03-11 03:08:31,960 INFO hook.py line 689 2389709] table : 0.5976 0.7087 +[2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] door : 0.6222 0.7808 +[2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] couch : 0.8013 0.8933 +[2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] cabinet : 0.3408 0.5518 +[2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] shelf : 0.3059 0.3543 +[2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] desk : 0.5432 0.7045 +[2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] office chair : 0.0094 0.0095 +[2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] bed : 0.7459 0.9042 +[2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] pillow : 0.5088 0.5742 +[2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] sink : 0.6111 0.7394 +[2025-03-11 03:08:31,961 INFO hook.py line 689 2389709] picture : 0.3591 0.4352 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] window : 0.5294 0.7194 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] toilet : 0.9181 0.9429 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] bookshelf : 0.4510 0.7046 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] monitor : 0.8270 0.8632 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] curtain : 0.6493 0.7918 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] book : 0.4236 0.7590 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] armchair : 0.3243 0.3917 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] coffee table : 0.5104 0.7206 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] box : 0.1335 0.1422 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] refrigerator : 0.6215 0.7381 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] lamp : 0.6361 0.7378 +[2025-03-11 03:08:31,962 INFO hook.py line 689 2389709] kitchen cabinet: 0.6697 0.8028 +[2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] towel : 0.3373 0.5135 +[2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] clothes : 0.1690 0.3754 +[2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] tv : 0.7850 0.9256 +[2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] nightstand : 0.6854 0.8075 +[2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] counter : 0.2357 0.3663 +[2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] dresser : 0.3606 0.4624 +[2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] stool : 0.5239 0.6934 +[2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] plant : 0.6643 0.8998 +[2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] ceiling : 0.9146 0.9459 +[2025-03-11 03:08:31,963 INFO hook.py line 689 2389709] bathtub : 0.8424 0.9247 +[2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] end table : 0.0854 0.1140 +[2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] dining table : 0.0242 0.0303 +[2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] keyboard : 0.3760 0.4731 +[2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] bag : 0.2469 0.3290 +[2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] backpack : 0.5603 0.7186 +[2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] toilet paper : 0.4252 0.5780 +[2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] printer : 0.3628 0.5159 +[2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] tv stand : 0.6316 0.9517 +[2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] whiteboard : 0.5259 0.6477 +[2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] blanket : 0.1103 0.1885 +[2025-03-11 03:08:31,964 INFO hook.py line 689 2389709] shower curtain : 0.5813 0.7394 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] trash can : 0.6272 0.7744 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] closet : 0.0439 0.0463 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] stairs : 0.4364 0.7334 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] microwave : 0.3987 0.7773 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] stove : 0.5473 0.9018 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] shoe : 0.4453 0.5236 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] computer tower : 0.5554 0.7514 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] bottle : 0.1880 0.3506 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] ottoman : 0.4955 0.6563 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] bench : 0.3154 0.3845 +[2025-03-11 03:08:31,965 INFO hook.py line 689 2389709] board : 0.1770 0.2295 +[2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] washing machine: 0.7820 0.8829 +[2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] mirror : 0.3406 0.4569 +[2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] copier : 0.7248 0.8208 +[2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] basket : 0.0002 0.0004 +[2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] sofa chair : 0.2152 0.4540 +[2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] file cabinet : 0.3726 0.4585 +[2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] fan : 0.3262 0.3660 +[2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] laptop : 0.5505 0.6455 +[2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] shower : 0.2989 0.3596 +[2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] paper : 0.0174 0.0203 +[2025-03-11 03:08:31,966 INFO hook.py line 689 2389709] person : 0.2855 0.4500 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] paper towel dispenser: 0.6491 0.7746 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] oven : 0.0112 0.0162 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] blinds : 0.0133 0.0154 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] plate : 0.0358 0.1065 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] blackboard : 0.5639 0.6224 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] piano : 0.4437 0.5400 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] suitcase : 0.5309 0.7281 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] rail : 0.0368 0.0386 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] radiator : 0.5434 0.6306 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] recycling bin : 0.4429 0.5248 +[2025-03-11 03:08:31,967 INFO hook.py line 689 2389709] container : 0.0814 0.3308 +[2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] wardrobe : 0.1414 0.1822 +[2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] soap dispenser : 0.5876 0.7075 +[2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] telephone : 0.2390 0.5871 +[2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] bucket : 0.1147 0.1179 +[2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] clock : 0.2521 0.3431 +[2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] stand : 0.0007 0.0019 +[2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] light : 0.0162 0.0208 +[2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] laundry basket : 0.0359 0.1078 +[2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] pipe : 0.0424 0.1095 +[2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] clothes dryer : 0.2049 0.2152 +[2025-03-11 03:08:31,968 INFO hook.py line 689 2389709] guitar : 0.1945 0.2018 +[2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] ladder : 0.2530 0.2958 +[2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] bathroom stall : 0.3128 0.3303 +[2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] shower wall : 0.5030 0.6752 +[2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] cup : 0.1926 0.4006 +[2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] jacket : 0.1102 0.1406 +[2025-03-11 03:08:31,969 INFO hook.py line 689 2389709] storage bin : 0.0655 0.1466 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] coffee maker : 0.7597 0.9673 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] dishwasher : 0.2679 0.4395 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] paper towel roll: 0.2880 0.2952 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] mat : 0.1997 0.2529 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] windowsill : 0.1346 0.1505 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] bar : 0.1308 0.1891 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] bulletin board : 0.3149 0.4170 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] ironing board : 0.0299 0.0308 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] fireplace : 0.3287 0.3355 +[2025-03-11 03:08:31,970 INFO hook.py line 689 2389709] soap dish : 0.3491 0.4647 +[2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] kitchen counter: 0.5379 0.6514 +[2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] doorframe : 0.3636 0.5551 +[2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3946 0.5628 +[2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] mini fridge : 0.4359 0.6026 +[2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] fire extinguisher: 0.1466 0.2470 +[2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] ball : 0.5734 0.8835 +[2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] shower curtain rod: 0.3378 0.8664 +[2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] water cooler : 0.2538 0.3689 +[2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] paper cutter : 0.2946 0.3899 +[2025-03-11 03:08:31,971 INFO hook.py line 689 2389709] tray : 0.0152 0.0239 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] shower door : 0.0781 0.2073 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] pillar : 0.0339 0.0342 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] ledge : 0.0551 0.0757 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] toaster oven : 0.0045 0.0048 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] mouse : 0.0697 0.4017 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4626 0.5104 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] cart : 0.2029 0.2553 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] scale : 0.2830 0.9545 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] tissue box : 0.1537 0.2446 +[2025-03-11 03:08:31,972 INFO hook.py line 689 2389709] light switch : 0.0431 0.2879 +[2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] power outlet : 0.1069 0.3138 +[2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] decoration : 0.2647 0.3641 +[2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] sign : 0.1672 0.1679 +[2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] projector : 0.1045 0.8333 +[2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] closet door : 0.0471 0.0491 +[2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] vacuum cleaner : 0.6857 0.9904 +[2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] plunger : 0.3326 0.9773 +[2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:08:31,973 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] dish rack : 0.5399 0.7852 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] broom : 0.0589 0.1376 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] range hood : 0.6862 0.8895 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] dustpan : 0.0786 0.1418 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] handicap bar : 0.0008 0.0058 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] shower floor : 0.8938 0.9817 +[2025-03-11 03:08:31,974 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] mailbox : 0.0558 0.0558 +[2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] bowl : 0.0575 0.0938 +[2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] paper bag : 0.0349 0.0511 +[2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] divider : 0.4269 0.5350 +[2025-03-11 03:08:31,975 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] bathroom counter: 0.2729 0.4245 +[2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] object : 0.0709 0.1211 +[2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] bathroom vanity: 0.4428 0.7533 +[2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] closet wall : 0.0390 0.0614 +[2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] laundry hamper : 0.0011 0.0011 +[2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] bathroom stall door: 0.4898 0.5458 +[2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] ceiling light : 0.1951 0.2512 +[2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] trash bin : 0.2611 0.3487 +[2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] dumbbell : 0.7048 0.9655 +[2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] stair rail : 0.1208 0.1397 +[2025-03-11 03:08:31,976 INFO hook.py line 689 2389709] tube : 0.0526 0.0702 +[2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] bathroom cabinet: 0.2602 0.3841 +[2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] closet rod : 0.2758 0.8797 +[2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] coffee kettle : 0.0398 0.0629 +[2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] shower head : 0.2190 0.2585 +[2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] keyboard piano : 0.0296 0.0487 +[2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] case of water bottles: 0.1054 0.1103 +[2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] coat rack : 0.0042 0.0286 +[2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:08:31,977 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:08:31,978 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 03:08:31,978 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:08:31,978 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2724/0.3723/0.8047. +[2025-03-11 03:08:31,979 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:08:31,983 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 +[2025-03-11 03:08:31,984 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:09:02,060 INFO hook.py line 566 2389709] Train: [36/100][50/300] Data 0.002 (0.003) Batch 0.477 (0.502) Remain 02:42:38 loss: 0.7074 Lr: 3.85639e-03 +[2025-03-11 03:09:26,863 INFO hook.py line 566 2389709] Train: [36/100][100/300] Data 0.002 (0.002) Batch 0.528 (0.499) Remain 02:41:16 loss: 0.7353 Lr: 3.84480e-03 +[2025-03-11 03:09:51,206 INFO hook.py line 566 2389709] Train: [36/100][150/300] Data 0.002 (0.002) Batch 0.516 (0.495) Remain 02:39:33 loss: 0.9561 Lr: 3.83316e-03 +[2025-03-11 03:10:15,987 INFO hook.py line 566 2389709] Train: [36/100][200/300] Data 0.002 (0.002) Batch 0.437 (0.495) Remain 02:39:12 loss: 0.6660 Lr: 3.82149e-03 +[2025-03-11 03:10:39,916 INFO hook.py line 566 2389709] Train: [36/100][250/300] Data 0.002 (0.002) Batch 0.411 (0.492) Remain 02:37:44 loss: 0.6655 Lr: 3.80977e-03 +[2025-03-11 03:11:04,179 INFO hook.py line 566 2389709] Train: [36/100][300/300] Data 0.001 (0.002) Batch 0.508 (0.491) Remain 02:36:58 loss: 0.7151 Lr: 3.79802e-03 +[2025-03-11 03:11:04,179 INFO misc.py line 135 2389709] Train result: loss: 0.8140 +[2025-03-11 03:11:04,312 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:11:53,514 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5519 +[2025-03-11 03:11:53,559 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5223 +[2025-03-11 03:11:53,602 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6293 +[2025-03-11 03:11:53,651 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5009 +[2025-03-11 03:11:53,696 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.1218 +[2025-03-11 03:11:53,761 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.4374 +[2025-03-11 03:11:53,815 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9214 +[2025-03-11 03:11:53,844 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4468 +[2025-03-11 03:11:53,895 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2065 +[2025-03-11 03:11:53,941 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2350 +[2025-03-11 03:11:53,989 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1086 +[2025-03-11 03:11:54,026 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9683 +[2025-03-11 03:11:54,078 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.2633 +[2025-03-11 03:11:54,123 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9233 +[2025-03-11 03:11:54,159 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4339 +[2025-03-11 03:11:54,210 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1858 +[2025-03-11 03:11:54,249 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.0958 +[2025-03-11 03:11:54,285 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1957 +[2025-03-11 03:11:54,329 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5659 +[2025-03-11 03:11:54,365 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8413 +[2025-03-11 03:11:54,400 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8850 +[2025-03-11 03:11:54,443 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6679 +[2025-03-11 03:11:54,474 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4719 +[2025-03-11 03:11:54,523 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9396 +[2025-03-11 03:11:54,570 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5311 +[2025-03-11 03:11:54,622 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5626 +[2025-03-11 03:11:54,677 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.3367 +[2025-03-11 03:11:54,717 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8350 +[2025-03-11 03:11:54,746 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1389 +[2025-03-11 03:11:54,803 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.9876 +[2025-03-11 03:11:54,861 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5029 +[2025-03-11 03:11:54,902 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1682 +[2025-03-11 03:11:54,960 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9229 +[2025-03-11 03:11:55,004 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.3465 +[2025-03-11 03:11:55,048 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0968 +[2025-03-11 03:11:55,083 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3760 +[2025-03-11 03:11:55,122 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7390 +[2025-03-11 03:11:55,156 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8448 +[2025-03-11 03:11:55,227 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2107 +[2025-03-11 03:11:55,278 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3445 +[2025-03-11 03:11:55,323 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2321 +[2025-03-11 03:11:55,359 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4770 +[2025-03-11 03:11:55,403 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0278 +[2025-03-11 03:11:55,460 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9155 +[2025-03-11 03:11:55,495 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.0151 +[2025-03-11 03:11:55,546 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0107 +[2025-03-11 03:11:55,587 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9847 +[2025-03-11 03:11:55,622 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0468 +[2025-03-11 03:11:55,653 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1517 +[2025-03-11 03:11:55,685 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7947 +[2025-03-11 03:11:55,720 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9911 +[2025-03-11 03:11:55,756 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.3237 +[2025-03-11 03:11:55,788 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1084 +[2025-03-11 03:11:55,824 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2259 +[2025-03-11 03:11:55,863 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3864 +[2025-03-11 03:11:55,904 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9185 +[2025-03-11 03:11:55,937 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0732 +[2025-03-11 03:11:55,963 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4271 +[2025-03-11 03:11:56,005 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7380 +[2025-03-11 03:11:56,045 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7705 +[2025-03-11 03:11:56,075 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9735 +[2025-03-11 03:11:56,115 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8931 +[2025-03-11 03:11:56,151 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2832 +[2025-03-11 03:11:56,208 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5927 +[2025-03-11 03:11:56,241 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3617 +[2025-03-11 03:11:56,284 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5965 +[2025-03-11 03:11:56,323 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0363 +[2025-03-11 03:11:56,364 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0856 +[2025-03-11 03:11:56,397 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3647 +[2025-03-11 03:11:56,457 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2004 +[2025-03-11 03:11:56,501 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5657 +[2025-03-11 03:11:56,558 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6400 +[2025-03-11 03:11:56,616 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6047 +[2025-03-11 03:11:56,659 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3166 +[2025-03-11 03:11:56,710 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6972 +[2025-03-11 03:11:56,739 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6502 +[2025-03-11 03:11:56,801 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6230 +[2025-03-11 03:11:56,827 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8634 +[2025-03-11 03:11:58,069 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:11:58,069 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:11:58,070 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:11:58,070 INFO hook.py line 689 2389709] wall : 0.7743 0.9070 +[2025-03-11 03:11:58,070 INFO hook.py line 689 2389709] chair : 0.7082 0.9306 +[2025-03-11 03:11:58,070 INFO hook.py line 689 2389709] floor : 0.9556 0.9774 +[2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] table : 0.6246 0.7195 +[2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] door : 0.5984 0.7153 +[2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] couch : 0.7506 0.8853 +[2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] cabinet : 0.2544 0.3152 +[2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] shelf : 0.3907 0.4886 +[2025-03-11 03:11:58,071 INFO hook.py line 689 2389709] desk : 0.5195 0.7967 +[2025-03-11 03:11:58,072 INFO hook.py line 689 2389709] office chair : 0.0127 0.0132 +[2025-03-11 03:11:58,072 INFO hook.py line 689 2389709] bed : 0.7491 0.8312 +[2025-03-11 03:11:58,072 INFO hook.py line 689 2389709] pillow : 0.5113 0.7633 +[2025-03-11 03:11:58,072 INFO hook.py line 689 2389709] sink : 0.6227 0.7378 +[2025-03-11 03:11:58,072 INFO hook.py line 689 2389709] picture : 0.3579 0.4992 +[2025-03-11 03:11:58,073 INFO hook.py line 689 2389709] window : 0.5326 0.6146 +[2025-03-11 03:11:58,073 INFO hook.py line 689 2389709] toilet : 0.8899 0.9788 +[2025-03-11 03:11:58,073 INFO hook.py line 689 2389709] bookshelf : 0.5172 0.6645 +[2025-03-11 03:11:58,073 INFO hook.py line 689 2389709] monitor : 0.8216 0.8827 +[2025-03-11 03:11:58,073 INFO hook.py line 689 2389709] curtain : 0.4876 0.9358 +[2025-03-11 03:11:58,074 INFO hook.py line 689 2389709] book : 0.4134 0.6622 +[2025-03-11 03:11:58,074 INFO hook.py line 689 2389709] armchair : 0.4794 0.6228 +[2025-03-11 03:11:58,074 INFO hook.py line 689 2389709] coffee table : 0.6103 0.9163 +[2025-03-11 03:11:58,074 INFO hook.py line 689 2389709] box : 0.2314 0.4395 +[2025-03-11 03:11:58,074 INFO hook.py line 689 2389709] refrigerator : 0.5351 0.7399 +[2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] lamp : 0.6608 0.7750 +[2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] kitchen cabinet: 0.6370 0.8351 +[2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] towel : 0.3975 0.6144 +[2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] clothes : 0.1528 0.3062 +[2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] tv : 0.6882 0.8179 +[2025-03-11 03:11:58,075 INFO hook.py line 689 2389709] nightstand : 0.6446 0.7939 +[2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] counter : 0.1702 0.3500 +[2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] dresser : 0.3338 0.4665 +[2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] stool : 0.3698 0.4396 +[2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] plant : 0.6969 0.8344 +[2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] ceiling : 0.9105 0.9548 +[2025-03-11 03:11:58,076 INFO hook.py line 689 2389709] bathtub : 0.8662 0.9129 +[2025-03-11 03:11:58,077 INFO hook.py line 689 2389709] end table : 0.1082 0.1633 +[2025-03-11 03:11:58,077 INFO hook.py line 689 2389709] dining table : 0.0462 0.0555 +[2025-03-11 03:11:58,077 INFO hook.py line 689 2389709] keyboard : 0.4039 0.5978 +[2025-03-11 03:11:58,077 INFO hook.py line 689 2389709] bag : 0.1661 0.3955 +[2025-03-11 03:11:58,078 INFO hook.py line 689 2389709] backpack : 0.5685 0.7583 +[2025-03-11 03:11:58,078 INFO hook.py line 689 2389709] toilet paper : 0.4322 0.6426 +[2025-03-11 03:11:58,078 INFO hook.py line 689 2389709] printer : 0.4318 0.6048 +[2025-03-11 03:11:58,078 INFO hook.py line 689 2389709] tv stand : 0.6490 0.8582 +[2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] whiteboard : 0.5068 0.6902 +[2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] blanket : 0.0210 0.0261 +[2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] shower curtain : 0.5456 0.6839 +[2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] trash can : 0.5220 0.7876 +[2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] closet : 0.0681 0.0849 +[2025-03-11 03:11:58,079 INFO hook.py line 689 2389709] stairs : 0.5192 0.6125 +[2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] microwave : 0.3978 0.7811 +[2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] stove : 0.5223 0.8733 +[2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] shoe : 0.4519 0.5957 +[2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] computer tower : 0.5246 0.7788 +[2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] bottle : 0.0808 0.2404 +[2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 03:11:58,080 INFO hook.py line 689 2389709] ottoman : 0.3215 0.3431 +[2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] bench : 0.1433 0.1503 +[2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] board : 0.1344 0.1984 +[2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] washing machine: 0.7579 0.7987 +[2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] mirror : 0.3599 0.4661 +[2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] copier : 0.7277 0.8566 +[2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] sofa chair : 0.1771 0.3059 +[2025-03-11 03:11:58,081 INFO hook.py line 689 2389709] file cabinet : 0.4333 0.6529 +[2025-03-11 03:11:58,082 INFO hook.py line 689 2389709] fan : 0.2354 0.3043 +[2025-03-11 03:11:58,082 INFO hook.py line 689 2389709] laptop : 0.4927 0.7035 +[2025-03-11 03:11:58,082 INFO hook.py line 689 2389709] shower : 0.2027 0.2204 +[2025-03-11 03:11:58,082 INFO hook.py line 689 2389709] paper : 0.0276 0.0354 +[2025-03-11 03:11:58,082 INFO hook.py line 689 2389709] person : 0.2321 0.3930 +[2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] paper towel dispenser: 0.4960 0.7147 +[2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] blackboard : 0.5217 0.6612 +[2025-03-11 03:11:58,083 INFO hook.py line 689 2389709] piano : 0.4333 0.5055 +[2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] suitcase : 0.6542 0.7046 +[2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] rail : 0.0286 0.0369 +[2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] radiator : 0.5592 0.6993 +[2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] recycling bin : 0.3663 0.7383 +[2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] wardrobe : 0.1353 0.1640 +[2025-03-11 03:11:58,084 INFO hook.py line 689 2389709] soap dispenser : 0.5571 0.7775 +[2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] telephone : 0.2353 0.4635 +[2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] bucket : 0.2517 0.4594 +[2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] clock : 0.2294 0.2986 +[2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] light : 0.0193 0.0271 +[2025-03-11 03:11:58,085 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] pipe : 0.0178 0.0314 +[2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] clothes dryer : 0.1817 0.1822 +[2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] guitar : 0.4147 0.7888 +[2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:11:58,086 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] column : 0.1119 0.1577 +[2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] ladder : 0.4255 0.4867 +[2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] bathroom stall : 0.2934 0.3175 +[2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] shower wall : 0.4124 0.4822 +[2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] cup : 0.1210 0.4401 +[2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] jacket : 0.1442 0.2258 +[2025-03-11 03:11:58,087 INFO hook.py line 689 2389709] storage bin : 0.0108 0.0109 +[2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] coffee maker : 0.3911 0.9865 +[2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] dishwasher : 0.2200 0.2592 +[2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] paper towel roll: 0.2650 0.3884 +[2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] mat : 0.1373 0.1480 +[2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] windowsill : 0.1738 0.2135 +[2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] bar : 0.1319 0.2606 +[2025-03-11 03:11:58,088 INFO hook.py line 689 2389709] toaster : 0.1268 0.2132 +[2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] bulletin board : 0.2500 0.5537 +[2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] ironing board : 0.1692 0.2078 +[2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] fireplace : 0.5758 0.5928 +[2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] soap dish : 0.3308 0.4165 +[2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] kitchen counter: 0.5136 0.6963 +[2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] doorframe : 0.3356 0.7178 +[2025-03-11 03:11:58,089 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3772 0.5900 +[2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] mini fridge : 0.3683 0.5600 +[2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] fire extinguisher: 0.0397 0.1927 +[2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] ball : 0.6340 0.8902 +[2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] hat : 0.0006 0.0027 +[2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] shower curtain rod: 0.2361 0.8863 +[2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] water cooler : 0.5375 0.8807 +[2025-03-11 03:11:58,090 INFO hook.py line 689 2389709] paper cutter : 0.3481 0.4295 +[2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] tray : 0.0824 0.1135 +[2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] shower door : 0.0445 0.0607 +[2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] ledge : 0.0362 0.0496 +[2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] mouse : 0.0116 0.7285 +[2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6807 0.7936 +[2025-03-11 03:11:58,091 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] cart : 0.1133 0.1314 +[2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] scale : 0.3610 0.9378 +[2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] tissue box : 0.1206 0.1582 +[2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] light switch : 0.0539 0.3793 +[2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] power outlet : 0.0779 0.3119 +[2025-03-11 03:11:58,092 INFO hook.py line 689 2389709] decoration : 0.1652 0.4455 +[2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] sign : 0.0005 0.0006 +[2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] projector : 0.1563 0.7194 +[2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] closet door : 0.0916 0.1176 +[2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] vacuum cleaner : 0.7442 0.9078 +[2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] plunger : 0.2663 0.9681 +[2025-03-11 03:11:58,093 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] headphones : 0.0171 0.0279 +[2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] dish rack : 0.2321 0.2418 +[2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] broom : 0.0264 0.1217 +[2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] range hood : 0.7268 0.8952 +[2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] dustpan : 0.0468 0.3295 +[2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:11:58,094 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] handicap bar : 0.0462 0.4261 +[2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] shower floor : 0.6788 0.8944 +[2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] water pitcher : 0.2315 0.5208 +[2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] mailbox : 0.3503 0.3533 +[2025-03-11 03:11:58,095 INFO hook.py line 689 2389709] bowl : 0.0467 0.0591 +[2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] paper bag : 0.0359 0.0721 +[2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] divider : 0.4487 0.6004 +[2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] bathroom counter: 0.2234 0.2698 +[2025-03-11 03:11:58,096 INFO hook.py line 689 2389709] object : 0.0337 0.0582 +[2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] bathroom vanity: 0.4396 0.8150 +[2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] closet wall : 0.0419 0.1760 +[2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] laundry hamper : 0.0156 0.0249 +[2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] bathroom stall door: 0.4635 0.6297 +[2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] ceiling light : 0.2827 0.3681 +[2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] trash bin : 0.2633 0.3505 +[2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] dumbbell : 0.5538 0.9905 +[2025-03-11 03:11:58,097 INFO hook.py line 689 2389709] stair rail : 0.0953 0.1183 +[2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] tube : 0.0499 0.1037 +[2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] bathroom cabinet: 0.2042 0.3320 +[2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] closet rod : 0.5247 0.7834 +[2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] coffee kettle : 0.0159 0.0240 +[2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:11:58,098 INFO hook.py line 689 2389709] shower head : 0.1330 0.2546 +[2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] coat rack : 0.1276 0.5478 +[2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] fire alarm : 0.0088 0.0698 +[2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:11:58,099 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:11:58,100 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:11:58,100 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 03:11:58,100 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:11:58,100 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 03:11:58,100 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:11:58,100 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2662/0.3877/0.7984. +[2025-03-11 03:11:58,101 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:11:58,118 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 +[2025-03-11 03:11:58,118 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:12:28,321 INFO hook.py line 566 2389709] Train: [37/100][50/300] Data 0.003 (0.002) Batch 0.490 (0.492) Remain 02:37:07 loss: 0.8322 Lr: 3.78622e-03 +[2025-03-11 03:12:52,781 INFO hook.py line 566 2389709] Train: [37/100][100/300] Data 0.002 (0.002) Batch 0.487 (0.491) Remain 02:36:12 loss: 1.0854 Lr: 3.77439e-03 +[2025-03-11 03:13:17,253 INFO hook.py line 566 2389709] Train: [37/100][150/300] Data 0.002 (0.002) Batch 0.543 (0.490) Remain 02:35:39 loss: 0.6885 Lr: 3.76251e-03 +[2025-03-11 03:13:42,001 INFO hook.py line 566 2389709] Train: [37/100][200/300] Data 0.002 (0.002) Batch 0.551 (0.491) Remain 02:35:37 loss: 0.8052 Lr: 3.75060e-03 +[2025-03-11 03:14:06,464 INFO hook.py line 566 2389709] Train: [37/100][250/300] Data 0.002 (0.002) Batch 0.441 (0.491) Remain 02:35:04 loss: 0.6419 Lr: 3.73865e-03 +[2025-03-11 03:14:30,850 INFO hook.py line 566 2389709] Train: [37/100][300/300] Data 0.002 (0.002) Batch 0.513 (0.490) Remain 02:34:29 loss: 0.9308 Lr: 3.72667e-03 +[2025-03-11 03:14:30,850 INFO misc.py line 135 2389709] Train result: loss: 0.8085 +[2025-03-11 03:14:30,974 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:15:17,771 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6297 +[2025-03-11 03:15:17,827 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0579 +[2025-03-11 03:15:17,867 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6801 +[2025-03-11 03:15:17,919 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5453 +[2025-03-11 03:15:17,960 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9170 +[2025-03-11 03:15:18,021 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7588 +[2025-03-11 03:15:18,074 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0550 +[2025-03-11 03:15:18,105 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5405 +[2025-03-11 03:15:18,151 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1846 +[2025-03-11 03:15:18,195 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3665 +[2025-03-11 03:15:18,245 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1390 +[2025-03-11 03:15:18,283 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9991 +[2025-03-11 03:15:18,334 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.7081 +[2025-03-11 03:15:18,380 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1365 +[2025-03-11 03:15:18,419 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8808 +[2025-03-11 03:15:18,466 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1613 +[2025-03-11 03:15:18,506 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1253 +[2025-03-11 03:15:18,544 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8663 +[2025-03-11 03:15:18,595 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.6283 +[2025-03-11 03:15:18,631 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4921 +[2025-03-11 03:15:18,667 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7468 +[2025-03-11 03:15:18,709 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7725 +[2025-03-11 03:15:18,748 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2827 +[2025-03-11 03:15:18,798 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1037 +[2025-03-11 03:15:18,844 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.1859 +[2025-03-11 03:15:18,899 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.9827 +[2025-03-11 03:15:18,956 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9525 +[2025-03-11 03:15:18,997 INFO hook.py line 748 2389709] Test: [28/78] Loss 1.0165 +[2025-03-11 03:15:19,032 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0092 +[2025-03-11 03:15:19,093 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5820 +[2025-03-11 03:15:19,151 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5751 +[2025-03-11 03:15:19,190 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1838 +[2025-03-11 03:15:19,252 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7243 +[2025-03-11 03:15:19,294 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5921 +[2025-03-11 03:15:19,344 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2737 +[2025-03-11 03:15:19,391 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5025 +[2025-03-11 03:15:19,432 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6267 +[2025-03-11 03:15:19,470 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9123 +[2025-03-11 03:15:19,542 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7582 +[2025-03-11 03:15:19,593 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.1722 +[2025-03-11 03:15:19,642 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.7776 +[2025-03-11 03:15:19,680 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5739 +[2025-03-11 03:15:19,723 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1574 +[2025-03-11 03:15:19,783 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8981 +[2025-03-11 03:15:19,818 INFO hook.py line 748 2389709] Test: [45/78] Loss 0.9192 +[2025-03-11 03:15:19,869 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1879 +[2025-03-11 03:15:19,914 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8314 +[2025-03-11 03:15:19,947 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9848 +[2025-03-11 03:15:19,979 INFO hook.py line 748 2389709] Test: [49/78] Loss 0.9800 +[2025-03-11 03:15:20,012 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5297 +[2025-03-11 03:15:20,046 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1790 +[2025-03-11 03:15:20,083 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5801 +[2025-03-11 03:15:20,115 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3473 +[2025-03-11 03:15:20,154 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.4193 +[2025-03-11 03:15:20,193 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4518 +[2025-03-11 03:15:20,237 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8975 +[2025-03-11 03:15:20,273 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9936 +[2025-03-11 03:15:20,301 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1563 +[2025-03-11 03:15:20,342 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9565 +[2025-03-11 03:15:20,383 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3090 +[2025-03-11 03:15:20,412 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8712 +[2025-03-11 03:15:20,452 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0792 +[2025-03-11 03:15:20,489 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.5750 +[2025-03-11 03:15:20,549 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.4663 +[2025-03-11 03:15:20,581 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2014 +[2025-03-11 03:15:20,631 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9594 +[2025-03-11 03:15:20,672 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0470 +[2025-03-11 03:15:20,712 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7194 +[2025-03-11 03:15:20,745 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4219 +[2025-03-11 03:15:20,807 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.4038 +[2025-03-11 03:15:20,854 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5346 +[2025-03-11 03:15:20,912 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7265 +[2025-03-11 03:15:20,969 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6220 +[2025-03-11 03:15:21,015 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.0011 +[2025-03-11 03:15:21,069 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.2358 +[2025-03-11 03:15:21,103 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7488 +[2025-03-11 03:15:21,165 INFO hook.py line 748 2389709] Test: [77/78] Loss 1.0666 +[2025-03-11 03:15:21,191 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8590 +[2025-03-11 03:15:22,431 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:15:22,432 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:15:22,432 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:15:22,432 INFO hook.py line 689 2389709] wall : 0.7868 0.8941 +[2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] chair : 0.6727 0.7878 +[2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] floor : 0.9526 0.9778 +[2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] table : 0.6156 0.7907 +[2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] door : 0.6322 0.7858 +[2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] couch : 0.7897 0.8583 +[2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] cabinet : 0.3121 0.5147 +[2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] shelf : 0.3284 0.4669 +[2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] desk : 0.5152 0.7398 +[2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] office chair : 0.2358 0.4917 +[2025-03-11 03:15:22,433 INFO hook.py line 689 2389709] bed : 0.7441 0.8422 +[2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] pillow : 0.5117 0.7680 +[2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] sink : 0.6154 0.6865 +[2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] picture : 0.3681 0.5028 +[2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] window : 0.5645 0.7607 +[2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] toilet : 0.9154 0.9577 +[2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] bookshelf : 0.4949 0.7863 +[2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] monitor : 0.7208 0.7524 +[2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] curtain : 0.6396 0.7961 +[2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] book : 0.3843 0.5306 +[2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] armchair : 0.5032 0.6821 +[2025-03-11 03:15:22,434 INFO hook.py line 689 2389709] coffee table : 0.6587 0.8445 +[2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] box : 0.2476 0.4006 +[2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] refrigerator : 0.5655 0.5968 +[2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] lamp : 0.6163 0.6708 +[2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] kitchen cabinet: 0.5641 0.6555 +[2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] towel : 0.4516 0.5279 +[2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] clothes : 0.2580 0.3427 +[2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] tv : 0.8117 0.8768 +[2025-03-11 03:15:22,435 INFO hook.py line 689 2389709] nightstand : 0.5858 0.8723 +[2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] counter : 0.2539 0.5466 +[2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] dresser : 0.3665 0.6323 +[2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] stool : 0.3075 0.8434 +[2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] plant : 0.5893 0.6603 +[2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] ceiling : 0.9165 0.9504 +[2025-03-11 03:15:22,436 INFO hook.py line 689 2389709] bathtub : 0.8356 0.8976 +[2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] end table : 0.1777 0.3021 +[2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] keyboard : 0.3951 0.5088 +[2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] bag : 0.1600 0.2091 +[2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] backpack : 0.5436 0.5845 +[2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] toilet paper : 0.4378 0.5751 +[2025-03-11 03:15:22,437 INFO hook.py line 689 2389709] printer : 0.2888 0.3137 +[2025-03-11 03:15:22,439 INFO hook.py line 689 2389709] tv stand : 0.4779 0.9837 +[2025-03-11 03:15:22,439 INFO hook.py line 689 2389709] whiteboard : 0.5133 0.7249 +[2025-03-11 03:15:22,439 INFO hook.py line 689 2389709] blanket : 0.0049 0.0055 +[2025-03-11 03:15:22,439 INFO hook.py line 689 2389709] shower curtain : 0.6118 0.6895 +[2025-03-11 03:15:22,439 INFO hook.py line 689 2389709] trash can : 0.5804 0.8197 +[2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] closet : 0.0850 0.1302 +[2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] stairs : 0.3577 0.7994 +[2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] microwave : 0.5083 0.7335 +[2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] stove : 0.6159 0.7518 +[2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] shoe : 0.4600 0.6112 +[2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] computer tower : 0.4838 0.7903 +[2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] bottle : 0.1238 0.2721 +[2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] ottoman : 0.3852 0.5691 +[2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] bench : 0.2768 0.3322 +[2025-03-11 03:15:22,440 INFO hook.py line 689 2389709] board : 0.0563 0.0799 +[2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] washing machine: 0.7678 0.8709 +[2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] mirror : 0.3528 0.4162 +[2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] copier : 0.8567 0.8834 +[2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] sofa chair : 0.2603 0.4581 +[2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] file cabinet : 0.3992 0.4469 +[2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] fan : 0.3243 0.4020 +[2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] laptop : 0.4608 0.5118 +[2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] shower : 0.2531 0.2787 +[2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] paper : 0.0399 0.0657 +[2025-03-11 03:15:22,441 INFO hook.py line 689 2389709] person : 0.2848 0.3709 +[2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] paper towel dispenser: 0.4552 0.6106 +[2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] oven : 0.0007 0.0008 +[2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] blinds : 0.0020 0.0023 +[2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] blackboard : 0.5715 0.6779 +[2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] piano : 0.2697 0.2842 +[2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] suitcase : 0.4815 0.5351 +[2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] rail : 0.0151 0.0156 +[2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] radiator : 0.5672 0.6368 +[2025-03-11 03:15:22,442 INFO hook.py line 689 2389709] recycling bin : 0.4404 0.5227 +[2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] wardrobe : 0.1304 0.1654 +[2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] soap dispenser : 0.8065 0.8886 +[2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] telephone : 0.3336 0.4299 +[2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] bucket : 0.3759 0.7371 +[2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] clock : 0.2662 0.2979 +[2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] stand : 0.0507 0.3423 +[2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] light : 0.0000 0.0000 +[2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 03:15:22,443 INFO hook.py line 689 2389709] pipe : 0.0092 0.0103 +[2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] clothes dryer : 0.2198 0.2226 +[2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] guitar : 0.3904 0.4904 +[2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] column : 0.0001 0.0001 +[2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] ladder : 0.4844 0.5535 +[2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] bathroom stall : 0.4756 0.5480 +[2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] shower wall : 0.4073 0.6903 +[2025-03-11 03:15:22,444 INFO hook.py line 689 2389709] cup : 0.1710 0.5405 +[2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] jacket : 0.2514 0.3112 +[2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] storage bin : 0.1696 0.3176 +[2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] coffee maker : 0.8635 0.9631 +[2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] dishwasher : 0.0732 0.1039 +[2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] paper towel roll: 0.1915 0.2918 +[2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] mat : 0.2867 0.4280 +[2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] windowsill : 0.1659 0.1965 +[2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] bar : 0.0758 0.1551 +[2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] toaster : 0.1656 0.6843 +[2025-03-11 03:15:22,445 INFO hook.py line 689 2389709] bulletin board : 0.2157 0.5451 +[2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] ironing board : 0.0468 0.0486 +[2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] fireplace : 0.5902 0.6125 +[2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] soap dish : 0.3239 0.5057 +[2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] kitchen counter: 0.4364 0.5441 +[2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] doorframe : 0.3675 0.5456 +[2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3311 0.3873 +[2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] mini fridge : 0.4039 0.5041 +[2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] fire extinguisher: 0.0533 0.1036 +[2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] ball : 0.5605 0.5732 +[2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:15:22,446 INFO hook.py line 689 2389709] shower curtain rod: 0.1829 0.9022 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] water cooler : 0.8088 0.9578 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] paper cutter : 0.2008 0.2133 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] tray : 0.0126 0.0728 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] shower door : 0.1421 0.1883 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] ledge : 0.0852 0.1103 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] toaster oven : 0.1369 0.1666 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] mouse : 0.0281 0.4018 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5415 0.8156 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] cart : 0.1713 0.1758 +[2025-03-11 03:15:22,447 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] scale : 0.0600 0.9627 +[2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] tissue box : 0.1802 0.3890 +[2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] light switch : 0.0290 0.3140 +[2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] power outlet : 0.0150 0.0240 +[2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] decoration : 0.0629 0.0734 +[2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] sign : 0.0778 0.0901 +[2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] projector : 0.3351 0.6548 +[2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] closet door : 0.1901 0.2095 +[2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] vacuum cleaner : 0.6795 0.7153 +[2025-03-11 03:15:22,448 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] plunger : 0.2076 0.9679 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] headphones : 0.0210 0.0439 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] dish rack : 0.6525 0.8659 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] broom : 0.0009 0.0011 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] range hood : 0.6440 0.7214 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] dustpan : 0.0820 0.1423 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] water bottle : 0.0100 0.1133 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] handicap bar : 0.0468 0.9588 +[2025-03-11 03:15:22,449 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] shower floor : 0.8085 0.9545 +[2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] water pitcher : 0.1011 0.4006 +[2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] mailbox : 0.3709 0.4060 +[2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] bowl : 0.0300 0.0587 +[2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] paper bag : 0.0283 0.0431 +[2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] divider : 0.2983 0.3192 +[2025-03-11 03:15:22,450 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] bathroom counter: 0.3071 0.3328 +[2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] object : 0.0475 0.0936 +[2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] bathroom vanity: 0.4574 0.7787 +[2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] closet wall : 0.0754 0.1011 +[2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] laundry hamper : 0.0864 0.1576 +[2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] bathroom stall door: 0.4848 0.6988 +[2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] ceiling light : 0.2860 0.4364 +[2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] trash bin : 0.3108 0.6681 +[2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] dumbbell : 0.3119 0.9719 +[2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] stair rail : 0.1724 0.2140 +[2025-03-11 03:15:22,451 INFO hook.py line 689 2389709] tube : 0.0655 0.0758 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] bathroom cabinet: 0.2365 0.7030 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] closet rod : 0.1572 0.3734 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] coffee kettle : 0.2026 0.2233 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] shower head : 0.2102 0.3458 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] keyboard piano : 0.0434 0.0436 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] case of water bottles: 0.1044 0.1331 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] coat rack : 0.1064 0.1667 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:15:22,452 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] potted plant : 0.0208 0.1615 +[2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:15:22,453 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 03:15:22,453 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:15:22,453 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2765/0.3916/0.7999. +[2025-03-11 03:15:22,454 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:15:22,472 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 +[2025-03-11 03:15:22,472 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:15:52,839 INFO hook.py line 566 2389709] Train: [38/100][50/300] Data 0.002 (0.002) Batch 0.458 (0.489) Remain 02:33:34 loss: 0.8896 Lr: 3.71464e-03 +[2025-03-11 03:16:17,205 INFO hook.py line 566 2389709] Train: [38/100][100/300] Data 0.003 (0.002) Batch 0.429 (0.488) Remain 02:32:55 loss: 0.8059 Lr: 3.70258e-03 +[2025-03-11 03:16:41,629 INFO hook.py line 566 2389709] Train: [38/100][150/300] Data 0.002 (0.002) Batch 0.498 (0.488) Remain 02:32:33 loss: 0.5870 Lr: 3.69048e-03 +[2025-03-11 03:17:06,493 INFO hook.py line 566 2389709] Train: [38/100][200/300] Data 0.002 (0.002) Batch 0.464 (0.491) Remain 02:32:52 loss: 0.8938 Lr: 3.67835e-03 +[2025-03-11 03:17:31,203 INFO hook.py line 566 2389709] Train: [38/100][250/300] Data 0.002 (0.002) Batch 0.493 (0.491) Remain 02:32:41 loss: 0.8134 Lr: 3.66618e-03 +[2025-03-11 03:17:55,287 INFO hook.py line 566 2389709] Train: [38/100][300/300] Data 0.001 (0.002) Batch 0.486 (0.490) Remain 02:31:47 loss: 0.9636 Lr: 3.65398e-03 +[2025-03-11 03:17:55,288 INFO misc.py line 135 2389709] Train result: loss: 0.7981 +[2025-03-11 03:17:55,381 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:18:50,423 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3825 +[2025-03-11 03:18:50,468 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6488 +[2025-03-11 03:18:50,501 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8068 +[2025-03-11 03:18:50,554 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5854 +[2025-03-11 03:18:50,586 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8136 +[2025-03-11 03:18:50,647 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2122 +[2025-03-11 03:18:50,702 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9292 +[2025-03-11 03:18:50,735 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3226 +[2025-03-11 03:18:50,782 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3661 +[2025-03-11 03:18:50,820 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2865 +[2025-03-11 03:18:50,867 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1350 +[2025-03-11 03:18:50,905 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1006 +[2025-03-11 03:18:50,959 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0480 +[2025-03-11 03:18:51,004 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.4372 +[2025-03-11 03:18:51,043 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9691 +[2025-03-11 03:18:51,101 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1166 +[2025-03-11 03:18:51,139 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2049 +[2025-03-11 03:18:51,179 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9874 +[2025-03-11 03:18:51,221 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5407 +[2025-03-11 03:18:51,257 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5039 +[2025-03-11 03:18:51,293 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6811 +[2025-03-11 03:18:51,333 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9527 +[2025-03-11 03:18:51,366 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4550 +[2025-03-11 03:18:51,427 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.4720 +[2025-03-11 03:18:51,472 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3267 +[2025-03-11 03:18:51,532 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.6841 +[2025-03-11 03:18:51,585 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5678 +[2025-03-11 03:18:51,625 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5152 +[2025-03-11 03:18:51,663 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1193 +[2025-03-11 03:18:51,719 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3676 +[2025-03-11 03:18:51,778 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5375 +[2025-03-11 03:18:51,816 INFO hook.py line 748 2389709] Test: [32/78] Loss 0.9780 +[2025-03-11 03:18:51,873 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0515 +[2025-03-11 03:18:51,918 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.7862 +[2025-03-11 03:18:51,973 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2244 +[2025-03-11 03:18:52,023 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3364 +[2025-03-11 03:18:52,067 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3550 +[2025-03-11 03:18:52,097 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8892 +[2025-03-11 03:18:52,164 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8626 +[2025-03-11 03:18:52,215 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6168 +[2025-03-11 03:18:52,277 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1907 +[2025-03-11 03:18:52,318 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5356 +[2025-03-11 03:18:52,359 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9923 +[2025-03-11 03:18:52,417 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9955 +[2025-03-11 03:18:52,455 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6776 +[2025-03-11 03:18:52,507 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1589 +[2025-03-11 03:18:52,545 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7388 +[2025-03-11 03:18:52,579 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9338 +[2025-03-11 03:18:52,614 INFO hook.py line 748 2389709] Test: [49/78] Loss 0.9645 +[2025-03-11 03:18:52,652 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7343 +[2025-03-11 03:18:52,682 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.7459 +[2025-03-11 03:18:52,716 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4134 +[2025-03-11 03:18:52,745 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2381 +[2025-03-11 03:18:52,785 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1398 +[2025-03-11 03:18:52,828 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4021 +[2025-03-11 03:18:52,868 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8688 +[2025-03-11 03:18:52,907 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.3173 +[2025-03-11 03:18:52,937 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0521 +[2025-03-11 03:18:52,975 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7846 +[2025-03-11 03:18:53,011 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7957 +[2025-03-11 03:18:53,036 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.6658 +[2025-03-11 03:18:53,071 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9804 +[2025-03-11 03:18:53,108 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1528 +[2025-03-11 03:18:53,166 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8328 +[2025-03-11 03:18:53,193 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0809 +[2025-03-11 03:18:53,241 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4707 +[2025-03-11 03:18:53,280 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.7049 +[2025-03-11 03:18:53,319 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1313 +[2025-03-11 03:18:53,355 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3589 +[2025-03-11 03:18:53,420 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.5147 +[2025-03-11 03:18:53,464 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5501 +[2025-03-11 03:18:53,519 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6475 +[2025-03-11 03:18:53,572 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5228 +[2025-03-11 03:18:53,620 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3414 +[2025-03-11 03:18:53,675 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6908 +[2025-03-11 03:18:53,708 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.5873 +[2025-03-11 03:18:53,769 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6149 +[2025-03-11 03:18:53,796 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8918 +[2025-03-11 03:18:55,131 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:18:55,131 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:18:55,131 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] wall : 0.7835 0.9243 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] chair : 0.7313 0.9175 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] floor : 0.9531 0.9802 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] table : 0.6337 0.7818 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] door : 0.5946 0.8024 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] couch : 0.7930 0.8496 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] cabinet : 0.2627 0.3316 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] shelf : 0.4563 0.6232 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] desk : 0.5547 0.7683 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] office chair : 0.0140 0.0141 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] bed : 0.7655 0.8568 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] pillow : 0.4936 0.8217 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] sink : 0.6136 0.7023 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] picture : 0.2963 0.3224 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] window : 0.5547 0.7030 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] toilet : 0.9133 0.9663 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] bookshelf : 0.5363 0.7798 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] monitor : 0.8146 0.8644 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] curtain : 0.7284 0.8296 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] book : 0.3889 0.5244 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] armchair : 0.5232 0.9016 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] coffee table : 0.7066 0.8451 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] box : 0.3050 0.3880 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] refrigerator : 0.6088 0.6633 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] lamp : 0.6061 0.7158 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] kitchen cabinet: 0.6493 0.7901 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] towel : 0.4258 0.5822 +[2025-03-11 03:18:55,132 INFO hook.py line 689 2389709] clothes : 0.1571 0.4831 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] tv : 0.7353 0.7465 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] nightstand : 0.6677 0.7937 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] counter : 0.3232 0.4869 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] dresser : 0.3752 0.4170 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] stool : 0.4441 0.6251 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] plant : 0.6802 0.8599 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] ceiling : 0.9188 0.9669 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] bathtub : 0.8603 0.8890 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] end table : 0.1033 0.1208 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] dining table : 0.0536 0.0662 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] keyboard : 0.3582 0.4318 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] bag : 0.1974 0.3874 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] backpack : 0.5304 0.5704 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] toilet paper : 0.4508 0.5411 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] printer : 0.3898 0.6247 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] tv stand : 0.5369 0.6296 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] whiteboard : 0.4580 0.6469 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] blanket : 0.0007 0.0007 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] shower curtain : 0.6464 0.7486 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] trash can : 0.6050 0.7107 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] closet : 0.0941 0.1163 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] stairs : 0.5846 0.5975 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] microwave : 0.5013 0.6849 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] stove : 0.6154 0.7344 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] shoe : 0.4099 0.5718 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] computer tower : 0.5299 0.7532 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] bottle : 0.1407 0.4632 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 03:18:55,133 INFO hook.py line 689 2389709] ottoman : 0.2036 0.2502 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] bench : 0.0904 0.1046 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] board : 0.1677 0.2717 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] washing machine: 0.8079 0.8551 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] mirror : 0.3696 0.4235 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] copier : 0.6988 0.9346 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] sofa chair : 0.1225 0.1347 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] file cabinet : 0.4253 0.6247 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] fan : 0.3237 0.5079 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] laptop : 0.4491 0.7584 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] shower : 0.1042 0.1045 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] paper : 0.0370 0.0424 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] person : 0.2695 0.4941 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] paper towel dispenser: 0.6126 0.6648 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] oven : 0.1162 0.1206 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] blinds : 0.0383 0.0441 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] blackboard : 0.5237 0.6497 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] piano : 0.3485 0.4481 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] suitcase : 0.5173 0.5328 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] rail : 0.0024 0.0024 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] radiator : 0.6044 0.6409 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] recycling bin : 0.4178 0.6144 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] container : 0.0010 0.0017 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] wardrobe : 0.1855 0.2567 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] soap dispenser : 0.7541 0.8155 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] telephone : 0.2115 0.5288 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] bucket : 0.3054 0.3640 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] clock : 0.2578 0.3066 +[2025-03-11 03:18:55,134 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] light : 0.0853 0.1306 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] laundry basket : 0.0001 0.0001 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] pipe : 0.0121 0.0149 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] clothes dryer : 0.4664 0.5126 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] guitar : 0.1906 0.2312 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] seat : 0.0001 0.0001 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] column : 0.0807 0.1315 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] ladder : 0.5639 0.6178 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] bathroom stall : 0.5058 0.6104 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] shower wall : 0.5013 0.6227 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] cup : 0.1694 0.4228 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] jacket : 0.0966 0.1102 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] storage bin : 0.0266 0.0286 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] coffee maker : 0.6790 0.9865 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] dishwasher : 0.1753 0.6225 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] paper towel roll: 0.2721 0.3167 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] mat : 0.0122 0.0125 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] windowsill : 0.1358 0.1424 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] bar : 0.1157 0.2379 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] toaster : 0.2853 0.3932 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] bulletin board : 0.2346 0.2978 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] ironing board : 0.1545 0.1871 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] fireplace : 0.5422 0.5571 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] soap dish : 0.3289 0.4223 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] kitchen counter: 0.5637 0.8007 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] doorframe : 0.3445 0.4359 +[2025-03-11 03:18:55,135 INFO hook.py line 689 2389709] toilet paper dispenser: 0.1849 0.2074 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] mini fridge : 0.3701 0.3949 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] fire extinguisher: 0.2010 0.2386 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] ball : 0.4331 0.7347 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] shower curtain rod: 0.2655 0.8117 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] water cooler : 0.4907 0.5326 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] paper cutter : 0.1985 0.3111 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] tray : 0.0238 0.0854 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] shower door : 0.1562 0.2465 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] ledge : 0.0524 0.0724 +[2025-03-11 03:18:55,136 INFO hook.py line 689 2389709] toaster oven : 0.1231 0.1280 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] mouse : 0.0314 0.6306 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6260 0.8495 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] cart : 0.2458 0.3554 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] scale : 0.2908 0.8701 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] tissue box : 0.2370 0.4582 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] light switch : 0.0562 0.1620 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] power outlet : 0.0377 0.0502 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] decoration : 0.3903 0.6137 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] projector : 0.0654 1.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] closet door : 0.0831 0.0929 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] vacuum cleaner : 0.6170 0.6282 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] plunger : 0.6970 0.9645 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] dish rack : 0.3457 0.7884 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] broom : 0.0132 0.0220 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] range hood : 0.6760 0.8992 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] dustpan : 0.0513 0.4000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] hair dryer : 0.0025 0.0099 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] handicap bar : 0.0490 0.4869 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] shower floor : 0.5013 0.5236 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:18:55,137 INFO hook.py line 689 2389709] mailbox : 0.3235 0.3317 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] bowl : 0.1324 0.3104 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] paper bag : 0.0378 0.0848 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] divider : 0.4491 0.6605 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] bathroom counter: 0.2535 0.2747 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] object : 0.0496 0.1107 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] bathroom vanity: 0.5104 0.8497 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] closet wall : 0.0191 0.0242 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] laundry hamper : 0.0306 0.0413 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] bathroom stall door: 0.4555 0.6092 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] ceiling light : 0.2225 0.2738 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] trash bin : 0.2490 0.3557 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] dumbbell : 0.5746 0.9720 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] stair rail : 0.1125 0.1304 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] tube : 0.0781 0.1083 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] bathroom cabinet: 0.2039 0.3257 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] closet rod : 0.2367 0.8882 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] coffee kettle : 0.0788 0.2540 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] shower head : 0.1816 0.3498 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] keyboard piano : 0.0079 0.0079 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] case of water bottles: 0.1002 0.1002 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] coat rack : 0.0007 0.0024 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:18:55,138 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:18:55,139 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:18:55,139 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 03:18:55,139 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:18:55,139 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 03:18:55,139 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:18:55,139 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2770/0.3795/0.8138. +[2025-03-11 03:18:55,139 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:18:55,157 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 +[2025-03-11 03:18:55,158 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:19:26,271 INFO hook.py line 566 2389709] Train: [39/100][50/300] Data 0.002 (0.002) Batch 0.498 (0.490) Remain 02:31:38 loss: 0.7777 Lr: 3.64174e-03 +[2025-03-11 03:19:50,829 INFO hook.py line 566 2389709] Train: [39/100][100/300] Data 0.003 (0.002) Batch 0.473 (0.491) Remain 02:31:20 loss: 0.6884 Lr: 3.62946e-03 +[2025-03-11 03:20:15,651 INFO hook.py line 566 2389709] Train: [39/100][150/300] Data 0.002 (0.002) Batch 0.451 (0.493) Remain 02:31:31 loss: 0.7292 Lr: 3.61715e-03 +[2025-03-11 03:20:40,055 INFO hook.py line 566 2389709] Train: [39/100][200/300] Data 0.002 (0.002) Batch 0.531 (0.492) Remain 02:30:44 loss: 0.5835 Lr: 3.60481e-03 +[2025-03-11 03:21:05,250 INFO hook.py line 566 2389709] Train: [39/100][250/300] Data 0.002 (0.002) Batch 0.489 (0.494) Remain 02:31:05 loss: 0.8815 Lr: 3.59243e-03 +[2025-03-11 03:21:29,387 INFO hook.py line 566 2389709] Train: [39/100][300/300] Data 0.001 (0.002) Batch 0.437 (0.492) Remain 02:30:06 loss: 0.7386 Lr: 3.58003e-03 +[2025-03-11 03:21:29,388 INFO misc.py line 135 2389709] Train result: loss: 0.8052 +[2025-03-11 03:21:29,490 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:22:23,249 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5662 +[2025-03-11 03:22:23,334 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2305 +[2025-03-11 03:22:23,372 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7766 +[2025-03-11 03:22:23,424 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5055 +[2025-03-11 03:22:23,457 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7808 +[2025-03-11 03:22:23,514 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1374 +[2025-03-11 03:22:23,571 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0065 +[2025-03-11 03:22:23,609 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3502 +[2025-03-11 03:22:23,655 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3194 +[2025-03-11 03:22:23,694 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1664 +[2025-03-11 03:22:23,748 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1809 +[2025-03-11 03:22:23,794 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0168 +[2025-03-11 03:22:23,842 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0824 +[2025-03-11 03:22:23,883 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3163 +[2025-03-11 03:22:23,923 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.6944 +[2025-03-11 03:22:23,973 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1498 +[2025-03-11 03:22:24,014 INFO hook.py line 748 2389709] Test: [17/78] Loss 0.9572 +[2025-03-11 03:22:24,051 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8463 +[2025-03-11 03:22:24,097 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2822 +[2025-03-11 03:22:24,136 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6249 +[2025-03-11 03:22:24,175 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6612 +[2025-03-11 03:22:24,220 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7258 +[2025-03-11 03:22:24,253 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4775 +[2025-03-11 03:22:24,321 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1534 +[2025-03-11 03:22:24,371 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.1816 +[2025-03-11 03:22:24,417 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0586 +[2025-03-11 03:22:24,473 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6369 +[2025-03-11 03:22:24,512 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6461 +[2025-03-11 03:22:24,547 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8712 +[2025-03-11 03:22:24,605 INFO hook.py line 748 2389709] Test: [30/78] Loss 0.9944 +[2025-03-11 03:22:24,662 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4405 +[2025-03-11 03:22:24,700 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1104 +[2025-03-11 03:22:24,758 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8962 +[2025-03-11 03:22:24,799 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3149 +[2025-03-11 03:22:24,845 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2138 +[2025-03-11 03:22:24,891 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6365 +[2025-03-11 03:22:24,935 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.2172 +[2025-03-11 03:22:24,966 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7918 +[2025-03-11 03:22:25,037 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4709 +[2025-03-11 03:22:25,083 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2997 +[2025-03-11 03:22:25,137 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5142 +[2025-03-11 03:22:25,170 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5069 +[2025-03-11 03:22:25,205 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0754 +[2025-03-11 03:22:25,265 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9657 +[2025-03-11 03:22:25,301 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2246 +[2025-03-11 03:22:25,350 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0389 +[2025-03-11 03:22:25,388 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7928 +[2025-03-11 03:22:25,427 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1229 +[2025-03-11 03:22:25,461 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4597 +[2025-03-11 03:22:25,495 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7157 +[2025-03-11 03:22:25,524 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9598 +[2025-03-11 03:22:25,564 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4460 +[2025-03-11 03:22:25,591 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1254 +[2025-03-11 03:22:25,627 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.7778 +[2025-03-11 03:22:25,666 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.7416 +[2025-03-11 03:22:25,707 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8774 +[2025-03-11 03:22:25,744 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7881 +[2025-03-11 03:22:25,770 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9827 +[2025-03-11 03:22:25,812 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8348 +[2025-03-11 03:22:25,848 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5203 +[2025-03-11 03:22:25,876 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8354 +[2025-03-11 03:22:25,911 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9445 +[2025-03-11 03:22:25,952 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3099 +[2025-03-11 03:22:26,008 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8409 +[2025-03-11 03:22:26,036 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1622 +[2025-03-11 03:22:26,080 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7693 +[2025-03-11 03:22:26,123 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9038 +[2025-03-11 03:22:26,159 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8036 +[2025-03-11 03:22:26,191 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4287 +[2025-03-11 03:22:26,253 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7872 +[2025-03-11 03:22:26,297 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.3873 +[2025-03-11 03:22:26,351 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7477 +[2025-03-11 03:22:26,404 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.8331 +[2025-03-11 03:22:26,448 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1256 +[2025-03-11 03:22:26,500 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3529 +[2025-03-11 03:22:26,528 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0379 +[2025-03-11 03:22:26,587 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.9559 +[2025-03-11 03:22:26,618 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1288 +[2025-03-11 03:22:27,958 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:22:27,958 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:22:27,958 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:22:27,958 INFO hook.py line 689 2389709] wall : 0.7906 0.9046 +[2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] chair : 0.6329 0.6958 +[2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] floor : 0.9572 0.9825 +[2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] table : 0.6412 0.7997 +[2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] door : 0.6217 0.7681 +[2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] couch : 0.7551 0.8721 +[2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] cabinet : 0.3295 0.5415 +[2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] shelf : 0.4036 0.5808 +[2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] desk : 0.5599 0.7400 +[2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] office chair : 0.2871 0.8323 +[2025-03-11 03:22:27,959 INFO hook.py line 689 2389709] bed : 0.7511 0.8946 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] pillow : 0.4820 0.8025 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] sink : 0.6356 0.7657 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] picture : 0.3421 0.4788 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] window : 0.5554 0.6810 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] toilet : 0.9072 0.9561 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] bookshelf : 0.4358 0.5869 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] monitor : 0.8266 0.8684 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] curtain : 0.6701 0.8158 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] book : 0.4479 0.7666 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] armchair : 0.4731 0.5787 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] coffee table : 0.6329 0.7480 +[2025-03-11 03:22:27,960 INFO hook.py line 689 2389709] box : 0.2539 0.2906 +[2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] refrigerator : 0.6156 0.6882 +[2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] lamp : 0.6214 0.7407 +[2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] kitchen cabinet: 0.5789 0.6869 +[2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] towel : 0.3982 0.6428 +[2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] clothes : 0.1790 0.3698 +[2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] tv : 0.8148 0.8735 +[2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] nightstand : 0.5803 0.8466 +[2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] counter : 0.2509 0.4882 +[2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] dresser : 0.3555 0.5167 +[2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] stool : 0.5161 0.7225 +[2025-03-11 03:22:27,961 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] plant : 0.7195 0.8416 +[2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] ceiling : 0.9288 0.9749 +[2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] bathtub : 0.8480 0.8869 +[2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] end table : 0.1723 0.3074 +[2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] dining table : 0.0033 0.0033 +[2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] keyboard : 0.3747 0.5573 +[2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] bag : 0.1912 0.3424 +[2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] backpack : 0.5189 0.5751 +[2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] toilet paper : 0.3997 0.5980 +[2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] printer : 0.4320 0.6414 +[2025-03-11 03:22:27,962 INFO hook.py line 689 2389709] tv stand : 0.4188 0.8754 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] whiteboard : 0.4700 0.5519 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] blanket : 0.0342 0.0438 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] shower curtain : 0.6902 0.7925 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] trash can : 0.6051 0.8477 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] closet : 0.0628 0.1119 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] stairs : 0.5989 0.6827 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] microwave : 0.3861 0.7558 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] stove : 0.5745 0.7608 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] shoe : 0.4440 0.7053 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] computer tower : 0.5425 0.6536 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] bottle : 0.1216 0.3317 +[2025-03-11 03:22:27,963 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] ottoman : 0.2795 0.3462 +[2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] bench : 0.2381 0.2823 +[2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] board : 0.1588 0.2070 +[2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] washing machine: 0.6983 0.7383 +[2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] mirror : 0.3616 0.5205 +[2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] copier : 0.7907 0.9307 +[2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] sofa chair : 0.1302 0.2340 +[2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] file cabinet : 0.4759 0.5042 +[2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] fan : 0.3607 0.3802 +[2025-03-11 03:22:27,964 INFO hook.py line 689 2389709] laptop : 0.3979 0.7802 +[2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] shower : 0.2493 0.3807 +[2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] paper : 0.0830 0.1887 +[2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] person : 0.2277 0.5134 +[2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] paper towel dispenser: 0.5612 0.7612 +[2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] oven : 0.0753 0.0970 +[2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:22:27,965 INFO hook.py line 689 2389709] blackboard : 0.4708 0.7538 +[2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] piano : 0.3066 0.4184 +[2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] suitcase : 0.6058 0.7635 +[2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] rail : 0.0698 0.1047 +[2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] radiator : 0.5001 0.6985 +[2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] recycling bin : 0.4114 0.4281 +[2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] container : 0.0116 0.0380 +[2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] wardrobe : 0.2200 0.3783 +[2025-03-11 03:22:27,966 INFO hook.py line 689 2389709] soap dispenser : 0.8091 0.8921 +[2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] telephone : 0.3168 0.4897 +[2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] bucket : 0.1823 0.3686 +[2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] clock : 0.2025 0.2396 +[2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] light : 0.0228 0.0277 +[2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 03:22:27,968 INFO hook.py line 689 2389709] pipe : 0.0702 0.0758 +[2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] clothes dryer : 0.5672 0.7048 +[2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] guitar : 0.5301 0.6495 +[2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] seat : 0.0108 0.0114 +[2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] speaker : 0.0088 0.0318 +[2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] column : 0.2319 0.3383 +[2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] ladder : 0.1369 0.1529 +[2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] bathroom stall : 0.5134 0.6469 +[2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] shower wall : 0.4956 0.6279 +[2025-03-11 03:22:27,969 INFO hook.py line 689 2389709] cup : 0.1411 0.2934 +[2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] jacket : 0.1925 0.2237 +[2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] storage bin : 0.0119 0.0152 +[2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] coffee maker : 0.5398 0.9894 +[2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] dishwasher : 0.3850 0.6190 +[2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] paper towel roll: 0.4356 0.6710 +[2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] mat : 0.2718 0.4268 +[2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] windowsill : 0.1823 0.1989 +[2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] bar : 0.0000 0.0000 +[2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] toaster : 0.0072 0.0150 +[2025-03-11 03:22:27,970 INFO hook.py line 689 2389709] bulletin board : 0.2127 0.5797 +[2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] ironing board : 0.0997 0.1188 +[2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] fireplace : 0.4813 0.5029 +[2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] soap dish : 0.3459 0.5111 +[2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] kitchen counter: 0.4242 0.5608 +[2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] doorframe : 0.3766 0.6698 +[2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4314 0.8677 +[2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] mini fridge : 0.2671 0.3276 +[2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] fire extinguisher: 0.0992 0.2279 +[2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] ball : 0.5607 0.8220 +[2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:22:27,971 INFO hook.py line 689 2389709] shower curtain rod: 0.4958 0.7450 +[2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] water cooler : 0.1193 0.1193 +[2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] paper cutter : 0.1861 0.2162 +[2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] tray : 0.0288 0.0881 +[2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] shower door : 0.1714 0.4307 +[2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] pillar : 0.0066 0.0066 +[2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] ledge : 0.0543 0.1099 +[2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] toaster oven : 0.0215 0.0222 +[2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] mouse : 0.0355 0.3422 +[2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4956 0.5731 +[2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:22:27,972 INFO hook.py line 689 2389709] cart : 0.0565 0.0623 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] scale : 0.1439 0.9425 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] tissue box : 0.2636 0.4997 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] light switch : 0.0626 0.3333 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] power outlet : 0.1474 0.4615 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] decoration : 0.1478 0.2680 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] sign : 0.0965 0.1688 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] projector : 0.2091 0.8883 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] closet door : 0.0446 0.0461 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] vacuum cleaner : 0.8360 0.9273 +[2025-03-11 03:22:27,973 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] plunger : 0.5025 0.9771 +[2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] dish rack : 0.4168 0.9140 +[2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] broom : 0.0189 0.0619 +[2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] range hood : 0.6424 0.7509 +[2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] dustpan : 0.0754 0.2453 +[2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:22:27,974 INFO hook.py line 689 2389709] handicap bar : 0.0289 0.5634 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] shower floor : 0.6664 0.9569 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] mailbox : 0.4090 0.4251 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] bowl : 0.0380 0.1354 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] paper bag : 0.0551 0.0965 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] projector screen: 0.0769 0.0915 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] divider : 0.4228 0.5247 +[2025-03-11 03:22:27,975 INFO hook.py line 689 2389709] laundry detergent: 0.0055 0.0076 +[2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] bathroom counter: 0.1814 0.2231 +[2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] object : 0.0296 0.0461 +[2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] bathroom vanity: 0.4055 0.8593 +[2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] closet wall : 0.0854 0.1831 +[2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] laundry hamper : 0.0836 0.1544 +[2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] bathroom stall door: 0.4140 0.6310 +[2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] ceiling light : 0.2971 0.4281 +[2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] trash bin : 0.3826 0.6186 +[2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] dumbbell : 0.2396 0.9718 +[2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] stair rail : 0.0761 0.0854 +[2025-03-11 03:22:27,976 INFO hook.py line 689 2389709] tube : 0.1265 0.1762 +[2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] bathroom cabinet: 0.1928 0.2307 +[2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] closet rod : 0.4263 0.8740 +[2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] coffee kettle : 0.0083 0.0100 +[2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] shower head : 0.2873 0.3029 +[2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] case of water bottles: 0.0022 0.0022 +[2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:22:27,977 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:22:27,978 INFO hook.py line 689 2389709] mattress : 0.0087 0.0088 +[2025-03-11 03:22:27,978 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:22:27,978 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2766/0.3976/0.8030. +[2025-03-11 03:22:27,979 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:22:27,997 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2832 +[2025-03-11 03:22:27,998 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:22:58,128 INFO hook.py line 566 2389709] Train: [40/100][50/300] Data 0.003 (0.003) Batch 0.542 (0.492) Remain 02:29:41 loss: 0.9168 Lr: 3.56758e-03 +[2025-03-11 03:23:22,962 INFO hook.py line 566 2389709] Train: [40/100][100/300] Data 0.002 (0.002) Batch 0.494 (0.494) Remain 02:29:59 loss: 0.7189 Lr: 3.55511e-03 +[2025-03-11 03:23:47,656 INFO hook.py line 566 2389709] Train: [40/100][150/300] Data 0.002 (0.002) Batch 0.538 (0.494) Remain 02:29:31 loss: 0.9096 Lr: 3.54260e-03 +[2025-03-11 03:24:12,385 INFO hook.py line 566 2389709] Train: [40/100][200/300] Data 0.003 (0.002) Batch 0.467 (0.494) Remain 02:29:07 loss: 0.8428 Lr: 3.53006e-03 +[2025-03-11 03:24:36,677 INFO hook.py line 566 2389709] Train: [40/100][250/300] Data 0.002 (0.002) Batch 0.533 (0.493) Remain 02:28:11 loss: 0.9511 Lr: 3.51749e-03 +[2025-03-11 03:25:00,534 INFO hook.py line 566 2389709] Train: [40/100][300/300] Data 0.001 (0.002) Batch 0.471 (0.490) Remain 02:27:00 loss: 0.9310 Lr: 3.50489e-03 +[2025-03-11 03:25:00,534 INFO misc.py line 135 2389709] Train result: loss: 0.8018 +[2025-03-11 03:25:00,626 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:25:55,239 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6596 +[2025-03-11 03:25:55,284 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4706 +[2025-03-11 03:25:55,319 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7887 +[2025-03-11 03:25:55,368 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4796 +[2025-03-11 03:25:55,401 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9941 +[2025-03-11 03:25:55,462 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2018 +[2025-03-11 03:25:55,516 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8498 +[2025-03-11 03:25:55,552 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5093 +[2025-03-11 03:25:55,606 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3445 +[2025-03-11 03:25:55,653 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1228 +[2025-03-11 03:25:55,702 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2949 +[2025-03-11 03:25:55,739 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8520 +[2025-03-11 03:25:55,787 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.8969 +[2025-03-11 03:25:55,832 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.6572 +[2025-03-11 03:25:55,869 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0381 +[2025-03-11 03:25:55,916 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4844 +[2025-03-11 03:25:55,956 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2291 +[2025-03-11 03:25:55,994 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0822 +[2025-03-11 03:25:56,044 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1478 +[2025-03-11 03:25:56,080 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5053 +[2025-03-11 03:25:56,119 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.5978 +[2025-03-11 03:25:56,176 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7220 +[2025-03-11 03:25:56,217 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3486 +[2025-03-11 03:25:56,267 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9377 +[2025-03-11 03:25:56,325 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.2463 +[2025-03-11 03:25:56,371 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.6178 +[2025-03-11 03:25:56,425 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6994 +[2025-03-11 03:25:56,462 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6829 +[2025-03-11 03:25:56,497 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8215 +[2025-03-11 03:25:56,555 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7947 +[2025-03-11 03:25:56,616 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7392 +[2025-03-11 03:25:56,660 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0628 +[2025-03-11 03:25:56,732 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9157 +[2025-03-11 03:25:56,781 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1204 +[2025-03-11 03:25:56,831 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2441 +[2025-03-11 03:25:56,875 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3191 +[2025-03-11 03:25:56,913 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.9667 +[2025-03-11 03:25:56,942 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9750 +[2025-03-11 03:25:57,010 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7051 +[2025-03-11 03:25:57,059 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2865 +[2025-03-11 03:25:57,110 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2076 +[2025-03-11 03:25:57,142 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4872 +[2025-03-11 03:25:57,186 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8720 +[2025-03-11 03:25:57,245 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9347 +[2025-03-11 03:25:57,299 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2473 +[2025-03-11 03:25:57,356 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1493 +[2025-03-11 03:25:57,394 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6494 +[2025-03-11 03:25:57,428 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9638 +[2025-03-11 03:25:57,463 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2875 +[2025-03-11 03:25:57,502 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.3609 +[2025-03-11 03:25:57,531 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0758 +[2025-03-11 03:25:57,566 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4925 +[2025-03-11 03:25:57,595 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2600 +[2025-03-11 03:25:57,636 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9740 +[2025-03-11 03:25:57,678 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3218 +[2025-03-11 03:25:57,720 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9497 +[2025-03-11 03:25:57,758 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7392 +[2025-03-11 03:25:57,787 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1701 +[2025-03-11 03:25:57,829 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7573 +[2025-03-11 03:25:57,866 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7044 +[2025-03-11 03:25:57,890 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8993 +[2025-03-11 03:25:57,927 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1972 +[2025-03-11 03:25:57,964 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.7926 +[2025-03-11 03:25:58,021 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6473 +[2025-03-11 03:25:58,051 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1862 +[2025-03-11 03:25:58,099 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.3724 +[2025-03-11 03:25:58,138 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9750 +[2025-03-11 03:25:58,176 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.6492 +[2025-03-11 03:25:58,212 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4342 +[2025-03-11 03:25:58,282 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3010 +[2025-03-11 03:25:58,325 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5031 +[2025-03-11 03:25:58,380 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5947 +[2025-03-11 03:25:58,434 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5422 +[2025-03-11 03:25:58,483 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.0793 +[2025-03-11 03:25:58,538 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4106 +[2025-03-11 03:25:58,570 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7667 +[2025-03-11 03:25:58,630 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8289 +[2025-03-11 03:25:58,657 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8459 +[2025-03-11 03:25:59,936 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:25:59,936 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:25:59,936 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:25:59,936 INFO hook.py line 689 2389709] wall : 0.7800 0.9007 +[2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] chair : 0.6283 0.7229 +[2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] floor : 0.9563 0.9793 +[2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] table : 0.6058 0.7451 +[2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] door : 0.6527 0.7858 +[2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] couch : 0.7919 0.8686 +[2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] cabinet : 0.2844 0.5797 +[2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] shelf : 0.4816 0.6884 +[2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] desk : 0.5522 0.8032 +[2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] office chair : 0.2924 0.8105 +[2025-03-11 03:25:59,937 INFO hook.py line 689 2389709] bed : 0.7455 0.8667 +[2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] pillow : 0.5321 0.7737 +[2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] sink : 0.6354 0.7450 +[2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] picture : 0.3404 0.4502 +[2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] window : 0.5612 0.6995 +[2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] toilet : 0.9307 0.9506 +[2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] bookshelf : 0.5445 0.6468 +[2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] monitor : 0.8211 0.9435 +[2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] curtain : 0.7022 0.8489 +[2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] book : 0.4782 0.7201 +[2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] armchair : 0.4940 0.6352 +[2025-03-11 03:25:59,938 INFO hook.py line 689 2389709] coffee table : 0.5946 0.7874 +[2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] box : 0.2946 0.4749 +[2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] refrigerator : 0.5650 0.5935 +[2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] lamp : 0.6320 0.7553 +[2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] kitchen cabinet: 0.6718 0.7679 +[2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] towel : 0.4880 0.5984 +[2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] clothes : 0.2264 0.4360 +[2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] tv : 0.7910 0.8655 +[2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] nightstand : 0.6509 0.8108 +[2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] counter : 0.2314 0.3422 +[2025-03-11 03:25:59,939 INFO hook.py line 689 2389709] dresser : 0.3283 0.6010 +[2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] stool : 0.4769 0.7860 +[2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] plant : 0.6780 0.7313 +[2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] ceiling : 0.9315 0.9624 +[2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] bathtub : 0.8596 0.8885 +[2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] end table : 0.2724 0.4174 +[2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] dining table : 0.1188 0.1405 +[2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] keyboard : 0.4155 0.5840 +[2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] bag : 0.1642 0.2989 +[2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] backpack : 0.5216 0.5821 +[2025-03-11 03:25:59,940 INFO hook.py line 689 2389709] toilet paper : 0.4476 0.5127 +[2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] printer : 0.4922 0.5801 +[2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] tv stand : 0.4680 0.5875 +[2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] whiteboard : 0.4735 0.5945 +[2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] blanket : 0.0498 0.0560 +[2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] shower curtain : 0.5678 0.6288 +[2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] trash can : 0.6103 0.8162 +[2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] closet : 0.1653 0.2488 +[2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] stairs : 0.6023 0.6685 +[2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] microwave : 0.5171 0.6327 +[2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] stove : 0.6595 0.7978 +[2025-03-11 03:25:59,941 INFO hook.py line 689 2389709] shoe : 0.4870 0.6502 +[2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] computer tower : 0.4953 0.7818 +[2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] bottle : 0.1166 0.2855 +[2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] ottoman : 0.2815 0.3376 +[2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] bench : 0.3881 0.5717 +[2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] board : 0.2422 0.4132 +[2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] washing machine: 0.7625 0.7786 +[2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] mirror : 0.3635 0.5388 +[2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] copier : 0.8257 0.9111 +[2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:25:59,942 INFO hook.py line 689 2389709] sofa chair : 0.1503 0.1799 +[2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] file cabinet : 0.4932 0.6421 +[2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] fan : 0.2609 0.4224 +[2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] laptop : 0.3846 0.7392 +[2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] shower : 0.1379 0.1436 +[2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] paper : 0.0679 0.1226 +[2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] person : 0.1184 0.4409 +[2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] paper towel dispenser: 0.4962 0.8154 +[2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] blinds : 0.0400 0.0409 +[2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:25:59,943 INFO hook.py line 689 2389709] plate : 0.0016 0.0023 +[2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] blackboard : 0.5016 0.6332 +[2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] piano : 0.3525 0.5037 +[2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] suitcase : 0.5472 0.6274 +[2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] rail : 0.0159 0.0185 +[2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] radiator : 0.5952 0.7102 +[2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] recycling bin : 0.4325 0.4901 +[2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] container : 0.0098 0.0226 +[2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] wardrobe : 0.1407 0.1715 +[2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] soap dispenser : 0.7691 0.9104 +[2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] telephone : 0.2771 0.5541 +[2025-03-11 03:25:59,944 INFO hook.py line 689 2389709] bucket : 0.5054 0.8209 +[2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] clock : 0.2312 0.3066 +[2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] light : 0.0197 0.0227 +[2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] laundry basket : 0.0054 0.0054 +[2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] pipe : 0.0875 0.1114 +[2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] clothes dryer : 0.4490 0.4736 +[2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] guitar : 0.6766 0.8661 +[2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:25:59,945 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] ladder : 0.4461 0.5574 +[2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] bathroom stall : 0.3052 0.3458 +[2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] shower wall : 0.4392 0.5089 +[2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] cup : 0.1634 0.2918 +[2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] jacket : 0.1929 0.2745 +[2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] storage bin : 0.0002 0.0004 +[2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] coffee maker : 0.9681 0.9865 +[2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] dishwasher : 0.1233 0.1632 +[2025-03-11 03:25:59,946 INFO hook.py line 689 2389709] paper towel roll: 0.2890 0.3358 +[2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] mat : 0.3040 0.3466 +[2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] windowsill : 0.1798 0.1921 +[2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] bar : 0.0874 0.1829 +[2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] toaster : 0.4477 0.5229 +[2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] bulletin board : 0.1199 0.1548 +[2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] ironing board : 0.0101 0.0105 +[2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] fireplace : 0.4612 0.4906 +[2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] soap dish : 0.3459 0.5145 +[2025-03-11 03:25:59,947 INFO hook.py line 689 2389709] kitchen counter: 0.5062 0.6187 +[2025-03-11 03:25:59,952 INFO hook.py line 689 2389709] doorframe : 0.3499 0.6758 +[2025-03-11 03:25:59,952 INFO hook.py line 689 2389709] toilet paper dispenser: 0.5035 0.7225 +[2025-03-11 03:25:59,952 INFO hook.py line 689 2389709] mini fridge : 0.3061 0.4406 +[2025-03-11 03:25:59,952 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 03:25:59,952 INFO hook.py line 689 2389709] ball : 0.4132 0.6440 +[2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] shower curtain rod: 0.4576 0.8245 +[2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] water cooler : 0.4401 0.7467 +[2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] paper cutter : 0.2439 0.2782 +[2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] tray : 0.0386 0.1186 +[2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] shower door : 0.2798 0.3868 +[2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] ledge : 0.0180 0.0191 +[2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] toaster oven : 0.0006 0.0007 +[2025-03-11 03:25:59,953 INFO hook.py line 689 2389709] mouse : 0.0493 0.4911 +[2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6377 0.7772 +[2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] cart : 0.2543 0.2612 +[2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] scale : 0.3429 0.9688 +[2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] tissue box : 0.1544 0.2860 +[2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] light switch : 0.0289 0.0623 +[2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:25:59,954 INFO hook.py line 689 2389709] power outlet : 0.0293 0.0436 +[2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] decoration : 0.0000 0.0000 +[2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] sign : 0.0960 0.1646 +[2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] projector : 0.2809 1.0000 +[2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] closet door : 0.1778 0.2001 +[2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] vacuum cleaner : 0.5307 0.9877 +[2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] plunger : 0.3337 0.9709 +[2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] dish rack : 0.4616 0.9400 +[2025-03-11 03:25:59,955 INFO hook.py line 689 2389709] broom : 0.0268 0.0581 +[2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] range hood : 0.7501 0.8007 +[2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] dustpan : 0.0967 0.4792 +[2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] handicap bar : 0.0547 0.7529 +[2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] shower floor : 0.8341 0.9629 +[2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:25:59,956 INFO hook.py line 689 2389709] mailbox : 0.4471 0.4691 +[2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] bowl : 0.0461 0.0796 +[2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] paper bag : 0.0677 0.1075 +[2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] projector screen: 0.0006 0.0007 +[2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] divider : 0.3863 0.4813 +[2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] laundry detergent: 0.0005 0.0005 +[2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] bathroom counter: 0.2456 0.4677 +[2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] object : 0.0433 0.1053 +[2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] bathroom vanity: 0.4135 0.7731 +[2025-03-11 03:25:59,957 INFO hook.py line 689 2389709] closet wall : 0.0636 0.1117 +[2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] laundry hamper : 0.0550 0.0987 +[2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] bathroom stall door: 0.4108 0.5034 +[2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] ceiling light : 0.1398 0.1927 +[2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] trash bin : 0.3754 0.4987 +[2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] dumbbell : 0.5016 0.9843 +[2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] stair rail : 0.1217 0.1370 +[2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] tube : 0.0920 0.1368 +[2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] bathroom cabinet: 0.0815 0.1248 +[2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] closet rod : 0.4331 0.8634 +[2025-03-11 03:25:59,958 INFO hook.py line 689 2389709] coffee kettle : 0.1115 0.1449 +[2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] shower head : 0.2999 0.3432 +[2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] case of water bottles: 0.0053 0.0053 +[2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] coat rack : 0.0222 0.1814 +[2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:25:59,959 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:25:59,960 INFO hook.py line 689 2389709] mattress : 0.0199 0.0205 +[2025-03-11 03:25:59,960 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:25:59,960 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2874/0.3959/0.8056. +[2025-03-11 03:25:59,961 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:25:59,981 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2874 +[2025-03-11 03:25:59,981 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2874 +[2025-03-11 03:25:59,981 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:26:30,248 INFO hook.py line 566 2389709] Train: [41/100][50/300] Data 0.002 (0.003) Batch 0.491 (0.502) Remain 02:30:15 loss: 0.7024 Lr: 3.49226e-03 +[2025-03-11 03:26:54,953 INFO hook.py line 566 2389709] Train: [41/100][100/300] Data 0.002 (0.002) Batch 0.517 (0.498) Remain 02:28:35 loss: 0.8192 Lr: 3.47985e-03 +[2025-03-11 03:27:19,516 INFO hook.py line 566 2389709] Train: [41/100][150/300] Data 0.002 (0.002) Batch 0.549 (0.496) Remain 02:27:29 loss: 0.9273 Lr: 3.46716e-03 +[2025-03-11 03:27:44,511 INFO hook.py line 566 2389709] Train: [41/100][200/300] Data 0.004 (0.002) Batch 0.459 (0.497) Remain 02:27:22 loss: 1.2044 Lr: 3.45444e-03 +[2025-03-11 03:28:09,287 INFO hook.py line 566 2389709] Train: [41/100][250/300] Data 0.002 (0.002) Batch 0.460 (0.497) Remain 02:26:53 loss: 0.7963 Lr: 3.44170e-03 +[2025-03-11 03:28:33,425 INFO hook.py line 566 2389709] Train: [41/100][300/300] Data 0.001 (0.002) Batch 0.478 (0.494) Remain 02:25:47 loss: 0.6903 Lr: 3.42892e-03 +[2025-03-11 03:28:33,425 INFO misc.py line 135 2389709] Train result: loss: 0.7982 +[2025-03-11 03:28:33,534 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:29:28,751 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3940 +[2025-03-11 03:29:28,793 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3533 +[2025-03-11 03:29:28,827 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5802 +[2025-03-11 03:29:28,885 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5888 +[2025-03-11 03:29:28,928 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.1046 +[2025-03-11 03:29:28,985 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3181 +[2025-03-11 03:29:29,038 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9134 +[2025-03-11 03:29:29,081 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6748 +[2025-03-11 03:29:29,136 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5089 +[2025-03-11 03:29:29,170 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0217 +[2025-03-11 03:29:29,219 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0673 +[2025-03-11 03:29:29,255 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0744 +[2025-03-11 03:29:29,313 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.9828 +[2025-03-11 03:29:29,363 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.3261 +[2025-03-11 03:29:29,401 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2265 +[2025-03-11 03:29:29,451 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1193 +[2025-03-11 03:29:29,491 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1441 +[2025-03-11 03:29:29,529 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.3443 +[2025-03-11 03:29:29,574 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4886 +[2025-03-11 03:29:29,611 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6372 +[2025-03-11 03:29:29,649 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6952 +[2025-03-11 03:29:29,690 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6740 +[2025-03-11 03:29:29,719 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6289 +[2025-03-11 03:29:29,767 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1183 +[2025-03-11 03:29:29,812 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9934 +[2025-03-11 03:29:29,855 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1111 +[2025-03-11 03:29:29,918 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8674 +[2025-03-11 03:29:29,956 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5727 +[2025-03-11 03:29:29,988 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0876 +[2025-03-11 03:29:30,058 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6275 +[2025-03-11 03:29:30,116 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6284 +[2025-03-11 03:29:30,155 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2541 +[2025-03-11 03:29:30,216 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7616 +[2025-03-11 03:29:30,258 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.1757 +[2025-03-11 03:29:30,300 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1181 +[2025-03-11 03:29:30,343 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2593 +[2025-03-11 03:29:30,381 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7867 +[2025-03-11 03:29:30,413 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7453 +[2025-03-11 03:29:30,485 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5138 +[2025-03-11 03:29:30,533 INFO hook.py line 748 2389709] Test: [40/78] Loss 2.3062 +[2025-03-11 03:29:30,583 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3454 +[2025-03-11 03:29:30,614 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6217 +[2025-03-11 03:29:30,650 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.5929 +[2025-03-11 03:29:30,710 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8917 +[2025-03-11 03:29:30,744 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3527 +[2025-03-11 03:29:30,793 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1069 +[2025-03-11 03:29:30,831 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9623 +[2025-03-11 03:29:30,864 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3599 +[2025-03-11 03:29:30,898 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1063 +[2025-03-11 03:29:30,932 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5559 +[2025-03-11 03:29:30,961 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.6201 +[2025-03-11 03:29:30,996 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6682 +[2025-03-11 03:29:31,021 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2409 +[2025-03-11 03:29:31,057 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2431 +[2025-03-11 03:29:31,097 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5087 +[2025-03-11 03:29:31,138 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.6728 +[2025-03-11 03:29:31,172 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6779 +[2025-03-11 03:29:31,198 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2692 +[2025-03-11 03:29:31,237 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8477 +[2025-03-11 03:29:31,273 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3610 +[2025-03-11 03:29:31,298 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0472 +[2025-03-11 03:29:31,333 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9928 +[2025-03-11 03:29:31,371 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.5080 +[2025-03-11 03:29:31,429 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6636 +[2025-03-11 03:29:31,457 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3615 +[2025-03-11 03:29:31,501 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.0566 +[2025-03-11 03:29:31,540 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0320 +[2025-03-11 03:29:31,575 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7739 +[2025-03-11 03:29:31,606 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3545 +[2025-03-11 03:29:31,668 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.5833 +[2025-03-11 03:29:31,712 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.5200 +[2025-03-11 03:29:31,767 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6732 +[2025-03-11 03:29:31,820 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5725 +[2025-03-11 03:29:31,864 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2177 +[2025-03-11 03:29:31,916 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4033 +[2025-03-11 03:29:31,945 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0273 +[2025-03-11 03:29:32,004 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7088 +[2025-03-11 03:29:32,031 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2322 +[2025-03-11 03:29:33,409 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:29:33,410 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:29:33,410 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] wall : 0.7829 0.9074 +[2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] chair : 0.6871 0.7706 +[2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] floor : 0.9586 0.9815 +[2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] table : 0.6416 0.8208 +[2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] door : 0.6627 0.8242 +[2025-03-11 03:29:33,410 INFO hook.py line 689 2389709] couch : 0.7146 0.9264 +[2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] cabinet : 0.3284 0.5219 +[2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] shelf : 0.4173 0.6058 +[2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] desk : 0.5769 0.7063 +[2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] office chair : 0.2749 0.6213 +[2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] bed : 0.7396 0.8119 +[2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] pillow : 0.5171 0.6673 +[2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] sink : 0.6303 0.6812 +[2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] picture : 0.3493 0.5043 +[2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] window : 0.5544 0.6882 +[2025-03-11 03:29:33,411 INFO hook.py line 689 2389709] toilet : 0.9255 0.9457 +[2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] bookshelf : 0.4275 0.5698 +[2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] monitor : 0.8353 0.8614 +[2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] curtain : 0.6000 0.7851 +[2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] book : 0.4518 0.7004 +[2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] armchair : 0.1839 0.2013 +[2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] coffee table : 0.6535 0.7486 +[2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] box : 0.2877 0.4438 +[2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] refrigerator : 0.5073 0.8450 +[2025-03-11 03:29:33,412 INFO hook.py line 689 2389709] lamp : 0.5986 0.6217 +[2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] kitchen cabinet: 0.5973 0.8344 +[2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] towel : 0.4554 0.5469 +[2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] clothes : 0.1726 0.3862 +[2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] tv : 0.8553 0.9055 +[2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] nightstand : 0.6368 0.6875 +[2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] counter : 0.2019 0.2716 +[2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] dresser : 0.3541 0.5530 +[2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] stool : 0.5389 0.7926 +[2025-03-11 03:29:33,413 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] plant : 0.7022 0.8157 +[2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] ceiling : 0.9254 0.9775 +[2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] bathtub : 0.8527 0.9018 +[2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] end table : 0.1179 0.1791 +[2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] dining table : 0.0266 0.0318 +[2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] keyboard : 0.3557 0.5765 +[2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] bag : 0.1284 0.1753 +[2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] backpack : 0.5248 0.5944 +[2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] toilet paper : 0.4389 0.5209 +[2025-03-11 03:29:33,414 INFO hook.py line 689 2389709] printer : 0.3213 0.3451 +[2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] tv stand : 0.5186 0.8208 +[2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] whiteboard : 0.4578 0.5265 +[2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] blanket : 0.0816 0.1236 +[2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] shower curtain : 0.5963 0.6708 +[2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] trash can : 0.6082 0.8382 +[2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] closet : 0.1197 0.2732 +[2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] stairs : 0.4818 0.6500 +[2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] microwave : 0.4293 0.6457 +[2025-03-11 03:29:33,415 INFO hook.py line 689 2389709] stove : 0.5623 0.6933 +[2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] shoe : 0.4556 0.6089 +[2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] computer tower : 0.5746 0.7231 +[2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] bottle : 0.0858 0.1495 +[2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] bin : 0.0050 0.0053 +[2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] ottoman : 0.2751 0.2923 +[2025-03-11 03:29:33,417 INFO hook.py line 689 2389709] bench : 0.3756 0.5647 +[2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] board : 0.0914 0.1044 +[2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] washing machine: 0.7704 0.8097 +[2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] mirror : 0.3125 0.4726 +[2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] copier : 0.8365 0.8681 +[2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] basket : 0.0026 0.0063 +[2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] sofa chair : 0.1725 0.5025 +[2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] file cabinet : 0.2747 0.2834 +[2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] fan : 0.2644 0.2751 +[2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] laptop : 0.4668 0.5946 +[2025-03-11 03:29:33,418 INFO hook.py line 689 2389709] shower : 0.2090 0.2326 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] paper : 0.0354 0.0486 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] person : 0.1490 0.2021 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] paper towel dispenser: 0.4770 0.7004 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] oven : 0.0273 0.0279 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] blinds : 0.0313 0.0325 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] plate : 0.0757 0.1538 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] blackboard : 0.5771 0.6168 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] piano : 0.5707 0.7035 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] suitcase : 0.5870 0.7437 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] rail : 0.0406 0.0459 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] radiator : 0.5990 0.6571 +[2025-03-11 03:29:33,419 INFO hook.py line 689 2389709] recycling bin : 0.4261 0.7188 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] container : 0.0063 0.0196 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] wardrobe : 0.1704 0.3434 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] soap dispenser : 0.8192 0.8734 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] telephone : 0.2616 0.3013 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] bucket : 0.2562 0.6058 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] clock : 0.2142 0.2630 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] stand : 0.0243 0.5413 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] light : 0.0342 0.0404 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] laundry basket : 0.0546 0.0897 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] pipe : 0.1008 0.1552 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] clothes dryer : 0.6290 0.7349 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] guitar : 0.6862 0.7204 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] seat : 0.0010 0.0012 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] column : 0.0273 0.0676 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] ladder : 0.5367 0.6013 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] bathroom stall : 0.4024 0.4541 +[2025-03-11 03:29:33,420 INFO hook.py line 689 2389709] shower wall : 0.5031 0.7101 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] cup : 0.2250 0.4273 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] jacket : 0.1761 0.2124 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] storage bin : 0.0211 0.0649 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] coffee maker : 0.5622 0.9938 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] dishwasher : 0.1928 0.4937 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] paper towel roll: 0.3369 0.4143 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] mat : 0.2640 0.2976 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] windowsill : 0.1775 0.2031 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] bar : 0.1145 0.2057 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] toaster : 0.1721 0.3083 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] bulletin board : 0.2414 0.6022 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] ironing board : 0.0704 0.0839 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] fireplace : 0.1586 0.1668 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] soap dish : 0.3241 0.5071 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] kitchen counter: 0.5294 0.8741 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] doorframe : 0.3815 0.6147 +[2025-03-11 03:29:33,421 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3759 0.4663 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] mini fridge : 0.1963 0.2124 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] ball : 0.5957 0.6248 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] shower curtain rod: 0.3183 0.9062 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] water cooler : 0.4997 0.9044 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] paper cutter : 0.2529 0.3133 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] tray : 0.0594 0.1341 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] shower door : 0.1834 0.1981 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] pillar : 0.0003 0.0003 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] ledge : 0.0083 0.0091 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] toaster oven : 0.0007 0.0007 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] mouse : 0.0334 0.3094 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7391 0.8419 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] cart : 0.0342 0.0347 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] scale : 0.1477 0.9391 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] tissue box : 0.0530 0.0731 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] light switch : 0.0465 0.3106 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:29:33,422 INFO hook.py line 689 2389709] power outlet : 0.2247 0.3066 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] decoration : 0.0183 0.0540 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] sign : 0.0151 0.0166 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] projector : 0.1070 1.0000 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] closet door : 0.0745 0.0758 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] vacuum cleaner : 0.6907 0.7489 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] plunger : 0.4166 0.9937 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] dish rack : 0.6202 0.9146 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] broom : 0.0661 0.0902 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] range hood : 0.6955 0.9036 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] dustpan : 0.1206 0.3829 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] handicap bar : 0.0308 0.3824 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:29:33,423 INFO hook.py line 689 2389709] shower floor : 0.4901 0.5224 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] mailbox : 0.3310 0.3428 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] bowl : 0.0520 0.0684 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] paper bag : 0.0659 0.1271 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] divider : 0.4420 0.5780 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] laundry detergent: 0.0090 0.0122 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] bathroom counter: 0.2173 0.2968 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] object : 0.0499 0.0926 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] bathroom vanity: 0.4456 0.6288 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] closet wall : 0.0359 0.1495 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] laundry hamper : 0.0021 0.0024 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] bathroom stall door: 0.3318 0.3472 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] ceiling light : 0.2377 0.2717 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] trash bin : 0.4039 0.5943 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] dumbbell : 0.7908 0.9687 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] stair rail : 0.0547 0.0587 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] tube : 0.0384 0.0446 +[2025-03-11 03:29:33,424 INFO hook.py line 689 2389709] bathroom cabinet: 0.3212 0.5727 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] closet rod : 0.1478 0.8707 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] coffee kettle : 0.0436 0.0501 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] shower head : 0.2677 0.3495 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] fire alarm : 0.0472 0.5333 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] potted plant : 0.0010 0.0095 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:29:33,425 INFO hook.py line 689 2389709] mattress : 0.0136 0.0138 +[2025-03-11 03:29:33,425 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:29:33,425 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2764/0.3845/0.8029. +[2025-03-11 03:29:33,426 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:29:33,444 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2874 +[2025-03-11 03:29:33,444 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:30:03,983 INFO hook.py line 566 2389709] Train: [42/100][50/300] Data 0.003 (0.002) Batch 0.480 (0.480) Remain 02:21:15 loss: 0.8750 Lr: 3.41611e-03 +[2025-03-11 03:30:28,962 INFO hook.py line 566 2389709] Train: [42/100][100/300] Data 0.003 (0.002) Batch 0.507 (0.490) Remain 02:23:47 loss: 0.7321 Lr: 3.40328e-03 +[2025-03-11 03:30:54,164 INFO hook.py line 566 2389709] Train: [42/100][150/300] Data 0.002 (0.002) Batch 0.494 (0.495) Remain 02:24:45 loss: 0.7422 Lr: 3.39042e-03 +[2025-03-11 03:31:18,781 INFO hook.py line 566 2389709] Train: [42/100][200/300] Data 0.002 (0.002) Batch 0.577 (0.494) Remain 02:24:09 loss: 0.7233 Lr: 3.37753e-03 +[2025-03-11 03:31:43,419 INFO hook.py line 566 2389709] Train: [42/100][250/300] Data 0.002 (0.002) Batch 0.481 (0.494) Remain 02:23:39 loss: 1.1398 Lr: 3.36462e-03 +[2025-03-11 03:32:07,705 INFO hook.py line 566 2389709] Train: [42/100][300/300] Data 0.002 (0.002) Batch 0.564 (0.493) Remain 02:22:50 loss: 0.9345 Lr: 3.35168e-03 +[2025-03-11 03:32:07,706 INFO misc.py line 135 2389709] Train result: loss: 0.7991 +[2025-03-11 03:32:07,811 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:33:01,414 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5125 +[2025-03-11 03:33:01,458 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0602 +[2025-03-11 03:33:01,491 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5108 +[2025-03-11 03:33:01,543 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5882 +[2025-03-11 03:33:01,579 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8556 +[2025-03-11 03:33:01,638 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9108 +[2025-03-11 03:33:01,691 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7972 +[2025-03-11 03:33:01,722 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5115 +[2025-03-11 03:33:01,770 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2954 +[2025-03-11 03:33:01,807 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0543 +[2025-03-11 03:33:01,854 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1551 +[2025-03-11 03:33:01,888 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0982 +[2025-03-11 03:33:01,951 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5171 +[2025-03-11 03:33:01,999 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3374 +[2025-03-11 03:33:02,041 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0918 +[2025-03-11 03:33:02,088 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.5895 +[2025-03-11 03:33:02,126 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4702 +[2025-03-11 03:33:02,163 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9140 +[2025-03-11 03:33:02,208 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.0367 +[2025-03-11 03:33:02,245 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5537 +[2025-03-11 03:33:02,283 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7743 +[2025-03-11 03:33:02,324 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7089 +[2025-03-11 03:33:02,365 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5111 +[2025-03-11 03:33:02,413 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2705 +[2025-03-11 03:33:02,458 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8836 +[2025-03-11 03:33:02,511 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0788 +[2025-03-11 03:33:02,565 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7930 +[2025-03-11 03:33:02,601 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5424 +[2025-03-11 03:33:02,645 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1683 +[2025-03-11 03:33:02,709 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2232 +[2025-03-11 03:33:02,766 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.9167 +[2025-03-11 03:33:02,823 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3124 +[2025-03-11 03:33:02,886 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7315 +[2025-03-11 03:33:02,931 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2731 +[2025-03-11 03:33:02,974 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1595 +[2025-03-11 03:33:03,015 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3319 +[2025-03-11 03:33:03,058 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3835 +[2025-03-11 03:33:03,089 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.5710 +[2025-03-11 03:33:03,157 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8739 +[2025-03-11 03:33:03,205 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.7642 +[2025-03-11 03:33:03,252 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3027 +[2025-03-11 03:33:03,286 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5985 +[2025-03-11 03:33:03,325 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0209 +[2025-03-11 03:33:03,384 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9555 +[2025-03-11 03:33:03,423 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.1795 +[2025-03-11 03:33:03,473 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0106 +[2025-03-11 03:33:03,515 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6239 +[2025-03-11 03:33:03,550 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3060 +[2025-03-11 03:33:03,582 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6615 +[2025-03-11 03:33:03,615 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4347 +[2025-03-11 03:33:03,649 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0989 +[2025-03-11 03:33:03,685 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.2778 +[2025-03-11 03:33:03,717 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2657 +[2025-03-11 03:33:03,756 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9501 +[2025-03-11 03:33:03,795 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4759 +[2025-03-11 03:33:03,839 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.7560 +[2025-03-11 03:33:03,872 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5129 +[2025-03-11 03:33:03,901 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0650 +[2025-03-11 03:33:03,943 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8154 +[2025-03-11 03:33:03,983 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4743 +[2025-03-11 03:33:04,013 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7019 +[2025-03-11 03:33:04,053 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8474 +[2025-03-11 03:33:04,089 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9381 +[2025-03-11 03:33:04,149 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.4165 +[2025-03-11 03:33:04,181 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1625 +[2025-03-11 03:33:04,226 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6907 +[2025-03-11 03:33:04,265 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8698 +[2025-03-11 03:33:04,306 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7319 +[2025-03-11 03:33:04,339 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3798 +[2025-03-11 03:33:04,400 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3002 +[2025-03-11 03:33:04,447 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8606 +[2025-03-11 03:33:04,505 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8706 +[2025-03-11 03:33:04,562 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6094 +[2025-03-11 03:33:04,605 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.5710 +[2025-03-11 03:33:04,657 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3204 +[2025-03-11 03:33:04,686 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0766 +[2025-03-11 03:33:04,748 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8077 +[2025-03-11 03:33:04,774 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0620 +[2025-03-11 03:33:05,997 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:33:05,997 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:33:05,997 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:33:05,997 INFO hook.py line 689 2389709] wall : 0.7847 0.9232 +[2025-03-11 03:33:05,997 INFO hook.py line 689 2389709] chair : 0.6477 0.7064 +[2025-03-11 03:33:05,997 INFO hook.py line 689 2389709] floor : 0.9531 0.9838 +[2025-03-11 03:33:05,997 INFO hook.py line 689 2389709] table : 0.6271 0.7693 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] door : 0.6236 0.7639 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] couch : 0.7753 0.8818 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] cabinet : 0.3196 0.5341 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] shelf : 0.4858 0.6496 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] desk : 0.5482 0.7400 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] office chair : 0.2532 0.6629 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] bed : 0.7935 0.8925 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] pillow : 0.5108 0.7300 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] sink : 0.6359 0.7973 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] picture : 0.3660 0.5155 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] window : 0.5383 0.6655 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] toilet : 0.9142 0.9719 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] bookshelf : 0.4981 0.6059 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] monitor : 0.8682 0.9317 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] curtain : 0.6717 0.8524 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] book : 0.4463 0.6381 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] armchair : 0.5287 0.7227 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] coffee table : 0.5356 0.6005 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] box : 0.3069 0.4348 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] refrigerator : 0.5418 0.7933 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] lamp : 0.6363 0.7059 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] kitchen cabinet: 0.6408 0.7978 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] towel : 0.3797 0.6825 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] clothes : 0.1187 0.2218 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] tv : 0.8623 0.9009 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] nightstand : 0.6500 0.8222 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] counter : 0.2151 0.3011 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] dresser : 0.4348 0.6598 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] stool : 0.4315 0.5316 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] plant : 0.7623 0.8535 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] ceiling : 0.9252 0.9654 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] bathtub : 0.8259 0.9198 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] end table : 0.2693 0.3892 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] keyboard : 0.3613 0.5729 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] bag : 0.1367 0.1767 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] backpack : 0.5887 0.6947 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] toilet paper : 0.4301 0.5957 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] printer : 0.4678 0.5874 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] tv stand : 0.6585 0.7832 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] whiteboard : 0.4681 0.5309 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] blanket : 0.0321 0.0430 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] shower curtain : 0.6611 0.8303 +[2025-03-11 03:33:05,998 INFO hook.py line 689 2389709] trash can : 0.5835 0.8945 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] closet : 0.1720 0.3203 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] stairs : 0.5652 0.7236 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] microwave : 0.4957 0.7834 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] stove : 0.6327 0.8261 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] shoe : 0.4251 0.6568 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] computer tower : 0.6267 0.7317 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] bottle : 0.1085 0.1835 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] bin : 0.0001 0.0003 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] ottoman : 0.3896 0.4547 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] bench : 0.3925 0.4772 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] board : 0.1491 0.1875 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] washing machine: 0.7500 0.9260 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] mirror : 0.3420 0.5351 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] copier : 0.7392 0.9268 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] sofa chair : 0.1772 0.3280 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] file cabinet : 0.4542 0.6833 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] fan : 0.4016 0.4616 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] laptop : 0.3843 0.4759 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] shower : 0.4193 0.5530 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] paper : 0.0372 0.0472 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] person : 0.1630 0.3344 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] paper towel dispenser: 0.4760 0.8476 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] blackboard : 0.6060 0.6271 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] piano : 0.2738 0.3736 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] suitcase : 0.5876 0.6299 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] rail : 0.0285 0.0319 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] radiator : 0.5383 0.6745 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] recycling bin : 0.3151 0.3277 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] container : 0.0009 0.0012 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] wardrobe : 0.2505 0.2985 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] soap dispenser : 0.6988 0.8946 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] telephone : 0.3311 0.3784 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] bucket : 0.3380 0.6448 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] clock : 0.2039 0.2333 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] stand : 0.0173 0.0462 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] light : 0.0267 0.0568 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] pipe : 0.0921 0.1446 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] clothes dryer : 0.2463 0.2471 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] guitar : 0.4657 0.6828 +[2025-03-11 03:33:05,999 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] seat : 0.0002 0.0003 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] ladder : 0.4410 0.4738 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] bathroom stall : 0.4679 0.5425 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] shower wall : 0.4940 0.5875 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] cup : 0.2012 0.4284 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] jacket : 0.1619 0.1963 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] storage bin : 0.0350 0.0396 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] coffee maker : 0.5337 0.9909 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] dishwasher : 0.4045 0.4644 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] paper towel roll: 0.2510 0.2921 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] mat : 0.2602 0.4144 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] windowsill : 0.1068 0.1110 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] bar : 0.1335 0.2140 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] toaster : 0.2774 0.3321 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] bulletin board : 0.2003 0.3960 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] ironing board : 0.1660 0.2024 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] fireplace : 0.2421 0.2473 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] soap dish : 0.3388 0.4883 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] kitchen counter: 0.5402 0.7790 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] doorframe : 0.3937 0.6424 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4623 0.7586 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] mini fridge : 0.3778 0.5164 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] fire extinguisher: 0.0544 0.1960 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] ball : 0.3649 0.9371 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] shower curtain rod: 0.2782 0.8345 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] water cooler : 0.6060 0.9575 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] paper cutter : 0.2455 0.2833 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] tray : 0.0228 0.0357 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] shower door : 0.0768 0.1530 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] ledge : 0.0400 0.0460 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] toaster oven : 0.0002 0.0002 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] mouse : 0.0662 0.4655 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6172 0.8184 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] cart : 0.0000 0.0000 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] scale : 0.1396 0.9600 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] tissue box : 0.1068 0.1312 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] light switch : 0.0314 0.2500 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:33:06,000 INFO hook.py line 689 2389709] power outlet : 0.1274 0.2164 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] decoration : 0.2191 0.4131 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] projector : 0.2238 0.9592 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] closet door : 0.2063 0.2168 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] vacuum cleaner : 0.6719 0.8832 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] plunger : 0.3849 0.9678 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] headphones : 0.0063 0.0069 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] dish rack : 0.8012 0.8483 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] broom : 0.0389 0.0587 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] range hood : 0.7988 0.8889 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] dustpan : 0.0423 0.1082 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] hair dryer : 0.0012 0.0020 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] handicap bar : 0.0476 0.5860 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] mailbox : 0.4912 0.5137 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] bowl : 0.1267 0.1342 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] paper bag : 0.0370 0.0510 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] divider : 0.3961 0.4141 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] laundry detergent: 0.0068 0.0096 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] bathroom counter: 0.2611 0.4118 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] object : 0.0448 0.0911 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] bathroom vanity: 0.4657 0.6729 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] closet wall : 0.0831 0.1520 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] laundry hamper : 0.0022 0.0033 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] bathroom stall door: 0.5572 0.6630 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] ceiling light : 0.1847 0.2017 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] trash bin : 0.3318 0.4065 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] dumbbell : 0.4430 0.9719 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] stair rail : 0.0812 0.0971 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] tube : 0.0953 0.1641 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] bathroom cabinet: 0.2421 0.3605 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] closet rod : 0.2850 0.6714 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] coffee kettle : 0.1943 0.2069 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] shower head : 0.1682 0.2652 +[2025-03-11 03:33:06,001 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] calendar : 0.1127 0.2970 +[2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:33:06,002 INFO hook.py line 689 2389709] mattress : 0.0347 0.0362 +[2025-03-11 03:33:06,002 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:33:06,002 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2820/0.3906/0.8100. +[2025-03-11 03:33:06,002 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:33:06,021 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2874 +[2025-03-11 03:33:06,021 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:33:35,598 INFO hook.py line 566 2389709] Train: [43/100][50/300] Data 0.004 (0.002) Batch 0.400 (0.489) Remain 02:21:25 loss: 0.9270 Lr: 3.33871e-03 +[2025-03-11 03:33:59,952 INFO hook.py line 566 2389709] Train: [43/100][100/300] Data 0.003 (0.002) Batch 0.534 (0.488) Remain 02:20:43 loss: 0.9128 Lr: 3.32572e-03 +[2025-03-11 03:34:24,343 INFO hook.py line 566 2389709] Train: [43/100][150/300] Data 0.003 (0.002) Batch 0.515 (0.488) Remain 02:20:17 loss: 0.7400 Lr: 3.31270e-03 +[2025-03-11 03:34:48,992 INFO hook.py line 566 2389709] Train: [43/100][200/300] Data 0.003 (0.002) Batch 0.426 (0.489) Remain 02:20:14 loss: 0.7389 Lr: 3.29966e-03 +[2025-03-11 03:35:13,804 INFO hook.py line 566 2389709] Train: [43/100][250/300] Data 0.003 (0.002) Batch 0.457 (0.491) Remain 02:20:14 loss: 0.7017 Lr: 3.28659e-03 +[2025-03-11 03:35:37,320 INFO hook.py line 566 2389709] Train: [43/100][300/300] Data 0.002 (0.002) Batch 0.457 (0.487) Remain 02:18:51 loss: 0.8060 Lr: 3.27350e-03 +[2025-03-11 03:35:37,321 INFO misc.py line 135 2389709] Train result: loss: 0.7774 +[2025-03-11 03:35:37,425 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:36:28,238 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5849 +[2025-03-11 03:36:28,282 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3130 +[2025-03-11 03:36:28,329 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6262 +[2025-03-11 03:36:28,378 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5825 +[2025-03-11 03:36:28,413 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9102 +[2025-03-11 03:36:28,471 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.4516 +[2025-03-11 03:36:28,523 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8285 +[2025-03-11 03:36:28,555 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2626 +[2025-03-11 03:36:28,601 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4406 +[2025-03-11 03:36:28,641 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4459 +[2025-03-11 03:36:28,688 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2305 +[2025-03-11 03:36:28,725 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0836 +[2025-03-11 03:36:28,774 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0815 +[2025-03-11 03:36:28,819 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3113 +[2025-03-11 03:36:28,855 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9233 +[2025-03-11 03:36:28,908 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1220 +[2025-03-11 03:36:28,947 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2361 +[2025-03-11 03:36:28,987 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1285 +[2025-03-11 03:36:29,029 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1611 +[2025-03-11 03:36:29,068 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4297 +[2025-03-11 03:36:29,103 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7124 +[2025-03-11 03:36:29,144 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6595 +[2025-03-11 03:36:29,174 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5276 +[2025-03-11 03:36:29,225 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9114 +[2025-03-11 03:36:29,283 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9751 +[2025-03-11 03:36:29,330 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5631 +[2025-03-11 03:36:29,384 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7032 +[2025-03-11 03:36:29,423 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7327 +[2025-03-11 03:36:29,454 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1020 +[2025-03-11 03:36:29,514 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2668 +[2025-03-11 03:36:29,582 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5285 +[2025-03-11 03:36:29,617 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2848 +[2025-03-11 03:36:29,679 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0387 +[2025-03-11 03:36:29,731 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3007 +[2025-03-11 03:36:29,771 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2513 +[2025-03-11 03:36:29,811 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5445 +[2025-03-11 03:36:29,849 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6707 +[2025-03-11 03:36:29,877 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7626 +[2025-03-11 03:36:29,946 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9627 +[2025-03-11 03:36:29,996 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3032 +[2025-03-11 03:36:30,042 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1234 +[2025-03-11 03:36:30,074 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4636 +[2025-03-11 03:36:30,112 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8762 +[2025-03-11 03:36:30,174 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0905 +[2025-03-11 03:36:30,208 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.1946 +[2025-03-11 03:36:30,260 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0689 +[2025-03-11 03:36:30,303 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7953 +[2025-03-11 03:36:30,340 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0421 +[2025-03-11 03:36:30,375 INFO hook.py line 748 2389709] Test: [49/78] Loss 0.8366 +[2025-03-11 03:36:30,408 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4901 +[2025-03-11 03:36:30,442 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0851 +[2025-03-11 03:36:30,478 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.2464 +[2025-03-11 03:36:30,509 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3447 +[2025-03-11 03:36:30,548 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.1810 +[2025-03-11 03:36:30,586 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3566 +[2025-03-11 03:36:30,631 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9900 +[2025-03-11 03:36:30,664 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9848 +[2025-03-11 03:36:30,692 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.6750 +[2025-03-11 03:36:30,734 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9693 +[2025-03-11 03:36:30,775 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5762 +[2025-03-11 03:36:30,804 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8530 +[2025-03-11 03:36:30,843 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9487 +[2025-03-11 03:36:30,881 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9356 +[2025-03-11 03:36:30,941 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.4438 +[2025-03-11 03:36:30,973 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.9328 +[2025-03-11 03:36:31,017 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5004 +[2025-03-11 03:36:31,056 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1830 +[2025-03-11 03:36:31,097 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.7907 +[2025-03-11 03:36:31,130 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3778 +[2025-03-11 03:36:31,191 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7555 +[2025-03-11 03:36:31,238 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8689 +[2025-03-11 03:36:31,295 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4358 +[2025-03-11 03:36:31,358 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.4837 +[2025-03-11 03:36:31,409 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.1876 +[2025-03-11 03:36:31,461 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5453 +[2025-03-11 03:36:31,489 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9363 +[2025-03-11 03:36:31,548 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4630 +[2025-03-11 03:36:31,575 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1425 +[2025-03-11 03:36:32,871 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:36:32,871 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:36:32,871 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:36:32,871 INFO hook.py line 689 2389709] wall : 0.7702 0.9069 +[2025-03-11 03:36:32,871 INFO hook.py line 689 2389709] chair : 0.7103 0.8479 +[2025-03-11 03:36:32,871 INFO hook.py line 689 2389709] floor : 0.9591 0.9788 +[2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] table : 0.6401 0.7724 +[2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] door : 0.6140 0.6960 +[2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] couch : 0.7921 0.9045 +[2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] cabinet : 0.3041 0.4482 +[2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] shelf : 0.4103 0.5834 +[2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] desk : 0.5499 0.7342 +[2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] office chair : 0.1470 0.2279 +[2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] bed : 0.7389 0.8001 +[2025-03-11 03:36:32,872 INFO hook.py line 689 2389709] pillow : 0.5308 0.7217 +[2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] sink : 0.6161 0.7667 +[2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] picture : 0.3649 0.5029 +[2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] window : 0.5689 0.7985 +[2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] toilet : 0.9314 0.9560 +[2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] bookshelf : 0.4844 0.6372 +[2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] monitor : 0.8025 0.9490 +[2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] curtain : 0.6608 0.7922 +[2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] book : 0.4049 0.5229 +[2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] armchair : 0.5089 0.7306 +[2025-03-11 03:36:32,873 INFO hook.py line 689 2389709] coffee table : 0.5885 0.6518 +[2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] box : 0.2114 0.2644 +[2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] refrigerator : 0.6639 0.7598 +[2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] lamp : 0.6695 0.7546 +[2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] kitchen cabinet: 0.5832 0.6614 +[2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] towel : 0.4259 0.6216 +[2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] clothes : 0.1512 0.4016 +[2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] tv : 0.8002 0.8629 +[2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] nightstand : 0.7030 0.8247 +[2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] counter : 0.2308 0.2810 +[2025-03-11 03:36:32,874 INFO hook.py line 689 2389709] dresser : 0.4281 0.5207 +[2025-03-11 03:36:32,875 INFO hook.py line 689 2389709] stool : 0.4479 0.7158 +[2025-03-11 03:36:32,875 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:36:32,875 INFO hook.py line 689 2389709] plant : 0.7059 0.8965 +[2025-03-11 03:36:32,875 INFO hook.py line 689 2389709] ceiling : 0.9147 0.9432 +[2025-03-11 03:36:32,875 INFO hook.py line 689 2389709] bathtub : 0.8392 0.8490 +[2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] end table : 0.1583 0.2571 +[2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] dining table : 0.0180 0.0192 +[2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] keyboard : 0.4185 0.6162 +[2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] bag : 0.1774 0.2315 +[2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] backpack : 0.6049 0.6695 +[2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] toilet paper : 0.4588 0.5449 +[2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] printer : 0.4701 0.6189 +[2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] tv stand : 0.6730 0.9317 +[2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] whiteboard : 0.4041 0.7941 +[2025-03-11 03:36:32,876 INFO hook.py line 689 2389709] blanket : 0.0409 0.0708 +[2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] shower curtain : 0.5647 0.6735 +[2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] trash can : 0.5715 0.8094 +[2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] closet : 0.1064 0.2031 +[2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] stairs : 0.5669 0.5998 +[2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] microwave : 0.6425 0.7134 +[2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] stove : 0.5288 0.7164 +[2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] shoe : 0.4095 0.7505 +[2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] computer tower : 0.4878 0.8673 +[2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] bottle : 0.1481 0.2957 +[2025-03-11 03:36:32,877 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] ottoman : 0.4362 0.5320 +[2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] bench : 0.4346 0.5232 +[2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] board : 0.1368 0.2693 +[2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] washing machine: 0.6506 0.9076 +[2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] mirror : 0.3295 0.4374 +[2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] copier : 0.8513 0.8981 +[2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] sofa chair : 0.2534 0.4745 +[2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] file cabinet : 0.4824 0.5808 +[2025-03-11 03:36:32,878 INFO hook.py line 689 2389709] fan : 0.2915 0.3912 +[2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] laptop : 0.4267 0.5365 +[2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] shower : 0.1703 0.1824 +[2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] paper : 0.0726 0.1027 +[2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] person : 0.1446 0.5484 +[2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] paper towel dispenser: 0.6101 0.8508 +[2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] oven : 0.0136 0.0138 +[2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] blinds : 0.0008 0.0010 +[2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:36:32,879 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] blackboard : 0.5883 0.6971 +[2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] piano : 0.3505 0.6747 +[2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] suitcase : 0.6994 0.7416 +[2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] rail : 0.0120 0.0125 +[2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] radiator : 0.5578 0.6498 +[2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] recycling bin : 0.4611 0.6341 +[2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] container : 0.0521 0.1547 +[2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] wardrobe : 0.1709 0.2089 +[2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] soap dispenser : 0.6474 0.9016 +[2025-03-11 03:36:32,880 INFO hook.py line 689 2389709] telephone : 0.3598 0.5860 +[2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] bucket : 0.1721 0.6068 +[2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] clock : 0.1816 0.2781 +[2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] light : 0.1132 0.1300 +[2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] pipe : 0.0674 0.2663 +[2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] clothes dryer : 0.0725 0.0727 +[2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] guitar : 0.4741 0.6852 +[2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:36:32,881 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] column : 0.0949 0.1413 +[2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] ladder : 0.4096 0.7038 +[2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] bathroom stall : 0.4133 0.4775 +[2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] shower wall : 0.3870 0.4440 +[2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] cup : 0.1331 0.4054 +[2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] jacket : 0.2001 0.2861 +[2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] storage bin : 0.0358 0.1049 +[2025-03-11 03:36:32,882 INFO hook.py line 689 2389709] coffee maker : 0.4697 0.9927 +[2025-03-11 03:36:32,883 INFO hook.py line 689 2389709] dishwasher : 0.2063 0.7856 +[2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] paper towel roll: 0.2080 0.2221 +[2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] mat : 0.2817 0.3621 +[2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] windowsill : 0.1092 0.1123 +[2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] bar : 0.1393 0.1744 +[2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] toaster : 0.0034 0.0038 +[2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] bulletin board : 0.1330 0.6894 +[2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] ironing board : 0.1845 0.2340 +[2025-03-11 03:36:32,884 INFO hook.py line 689 2389709] fireplace : 0.6488 0.6748 +[2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] soap dish : 0.3659 0.4778 +[2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] kitchen counter: 0.4891 0.6383 +[2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] doorframe : 0.4030 0.5696 +[2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] toilet paper dispenser: 0.5313 0.6188 +[2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] mini fridge : 0.3589 0.3956 +[2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] ball : 0.5934 0.6233 +[2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] hat : 0.0008 0.0040 +[2025-03-11 03:36:32,885 INFO hook.py line 689 2389709] shower curtain rod: 0.4180 0.6458 +[2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] water cooler : 0.2458 0.2733 +[2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] paper cutter : 0.1905 0.2741 +[2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] tray : 0.0280 0.0531 +[2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] shower door : 0.1362 0.1370 +[2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] ledge : 0.0032 0.0032 +[2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] mouse : 0.0564 0.5022 +[2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4558 0.6365 +[2025-03-11 03:36:32,886 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] cart : 0.1540 0.1725 +[2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] scale : 0.1390 0.9647 +[2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] tissue box : 0.2012 0.2543 +[2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] light switch : 0.0426 0.1595 +[2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] crate : 0.0011 0.0012 +[2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] power outlet : 0.2150 0.4180 +[2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] decoration : 0.2966 0.6540 +[2025-03-11 03:36:32,887 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] projector : 0.2718 1.0000 +[2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] closet door : 0.1829 0.2024 +[2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] vacuum cleaner : 0.7602 0.9823 +[2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] plunger : 0.7425 0.8658 +[2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] headphones : 0.0012 0.0034 +[2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] dish rack : 0.8513 0.8878 +[2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] broom : 0.0182 0.0384 +[2025-03-11 03:36:32,888 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] range hood : 0.7928 0.8689 +[2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] dustpan : 0.0557 0.4149 +[2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] handicap bar : 0.0711 0.9202 +[2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] shower floor : 0.0061 0.0061 +[2025-03-11 03:36:32,889 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] mailbox : 0.3975 0.4957 +[2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] bowl : 0.2113 0.4020 +[2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] paper bag : 0.0505 0.1410 +[2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] divider : 0.3845 0.6548 +[2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] laundry detergent: 0.0071 0.0076 +[2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] bathroom counter: 0.3257 0.3765 +[2025-03-11 03:36:32,890 INFO hook.py line 689 2389709] object : 0.0371 0.0911 +[2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] bathroom vanity: 0.5508 0.7523 +[2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] closet wall : 0.1711 0.4170 +[2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] laundry hamper : 0.1050 0.1381 +[2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] bathroom stall door: 0.5333 0.6961 +[2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] ceiling light : 0.4528 0.6625 +[2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] trash bin : 0.3390 0.4890 +[2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] dumbbell : 0.3854 0.9719 +[2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] stair rail : 0.1199 0.1465 +[2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] tube : 0.1125 0.1380 +[2025-03-11 03:36:32,891 INFO hook.py line 689 2389709] bathroom cabinet: 0.5146 0.6704 +[2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] closet rod : 0.3536 0.6041 +[2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] coffee kettle : 0.1274 0.1851 +[2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] shower head : 0.1967 0.2576 +[2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] case of water bottles: 0.0001 0.0001 +[2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] coat rack : 0.0067 0.0455 +[2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:36:32,892 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] fire alarm : 0.0924 0.3778 +[2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] calendar : 0.0690 0.1243 +[2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] potted plant : 0.0098 0.0539 +[2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:36:32,893 INFO hook.py line 689 2389709] mattress : 0.0187 0.0188 +[2025-03-11 03:36:32,893 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:36:32,893 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2866/0.4031/0.8028. +[2025-03-11 03:36:32,894 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:36:32,914 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2874 +[2025-03-11 03:36:32,914 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:37:02,926 INFO hook.py line 566 2389709] Train: [44/100][50/300] Data 0.003 (0.003) Batch 0.507 (0.496) Remain 02:21:01 loss: 0.7040 Lr: 3.26039e-03 +[2025-03-11 03:37:27,295 INFO hook.py line 566 2389709] Train: [44/100][100/300] Data 0.002 (0.003) Batch 0.483 (0.492) Remain 02:19:18 loss: 0.6684 Lr: 3.24725e-03 +[2025-03-11 03:37:52,330 INFO hook.py line 566 2389709] Train: [44/100][150/300] Data 0.002 (0.003) Batch 0.517 (0.495) Remain 02:19:46 loss: 0.8393 Lr: 3.23409e-03 +[2025-03-11 03:38:17,192 INFO hook.py line 566 2389709] Train: [44/100][200/300] Data 0.003 (0.002) Batch 0.399 (0.495) Remain 02:19:32 loss: 0.7896 Lr: 3.22091e-03 +[2025-03-11 03:38:41,594 INFO hook.py line 566 2389709] Train: [44/100][250/300] Data 0.002 (0.002) Batch 0.506 (0.494) Remain 02:18:42 loss: 0.6971 Lr: 3.20771e-03 +[2025-03-11 03:39:05,346 INFO hook.py line 566 2389709] Train: [44/100][300/300] Data 0.002 (0.002) Batch 0.487 (0.491) Remain 02:17:24 loss: 0.7142 Lr: 3.19448e-03 +[2025-03-11 03:39:05,347 INFO misc.py line 135 2389709] Train result: loss: 0.7524 +[2025-03-11 03:39:05,439 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:40:01,141 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4523 +[2025-03-11 03:40:01,186 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1796 +[2025-03-11 03:40:01,229 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4731 +[2025-03-11 03:40:01,280 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4597 +[2025-03-11 03:40:01,317 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0633 +[2025-03-11 03:40:01,375 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8107 +[2025-03-11 03:40:01,432 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7417 +[2025-03-11 03:40:01,470 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1599 +[2025-03-11 03:40:01,518 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2284 +[2025-03-11 03:40:01,570 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1257 +[2025-03-11 03:40:01,620 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2220 +[2025-03-11 03:40:01,659 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1555 +[2025-03-11 03:40:01,709 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2378 +[2025-03-11 03:40:01,759 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3380 +[2025-03-11 03:40:01,801 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.5555 +[2025-03-11 03:40:01,853 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1486 +[2025-03-11 03:40:01,892 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2175 +[2025-03-11 03:40:01,930 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8364 +[2025-03-11 03:40:01,985 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7572 +[2025-03-11 03:40:02,021 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4212 +[2025-03-11 03:40:02,059 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6563 +[2025-03-11 03:40:02,101 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6200 +[2025-03-11 03:40:02,134 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3378 +[2025-03-11 03:40:02,187 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8432 +[2025-03-11 03:40:02,229 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7768 +[2025-03-11 03:40:02,290 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.7214 +[2025-03-11 03:40:02,347 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6130 +[2025-03-11 03:40:02,399 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8375 +[2025-03-11 03:40:02,439 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8634 +[2025-03-11 03:40:02,493 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7315 +[2025-03-11 03:40:02,556 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.7420 +[2025-03-11 03:40:02,604 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0700 +[2025-03-11 03:40:02,664 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1782 +[2025-03-11 03:40:02,708 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.3832 +[2025-03-11 03:40:02,752 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2011 +[2025-03-11 03:40:02,795 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.1363 +[2025-03-11 03:40:02,840 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0601 +[2025-03-11 03:40:02,870 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8759 +[2025-03-11 03:40:02,941 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6212 +[2025-03-11 03:40:02,990 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8489 +[2025-03-11 03:40:03,038 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3060 +[2025-03-11 03:40:03,072 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5156 +[2025-03-11 03:40:03,108 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2892 +[2025-03-11 03:40:03,168 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9480 +[2025-03-11 03:40:03,204 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3742 +[2025-03-11 03:40:03,252 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.8498 +[2025-03-11 03:40:03,294 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.5611 +[2025-03-11 03:40:03,332 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1377 +[2025-03-11 03:40:03,365 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4770 +[2025-03-11 03:40:03,400 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5834 +[2025-03-11 03:40:03,434 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9784 +[2025-03-11 03:40:03,470 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.2130 +[2025-03-11 03:40:03,502 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2824 +[2025-03-11 03:40:03,537 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.6671 +[2025-03-11 03:40:03,577 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1186 +[2025-03-11 03:40:03,617 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9227 +[2025-03-11 03:40:03,651 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7666 +[2025-03-11 03:40:03,676 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9583 +[2025-03-11 03:40:03,717 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8151 +[2025-03-11 03:40:03,759 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6757 +[2025-03-11 03:40:03,788 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9726 +[2025-03-11 03:40:03,828 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0171 +[2025-03-11 03:40:03,865 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4095 +[2025-03-11 03:40:03,924 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5022 +[2025-03-11 03:40:03,956 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3007 +[2025-03-11 03:40:04,000 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7513 +[2025-03-11 03:40:04,040 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0355 +[2025-03-11 03:40:04,081 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0366 +[2025-03-11 03:40:04,114 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3454 +[2025-03-11 03:40:04,176 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3691 +[2025-03-11 03:40:04,220 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5961 +[2025-03-11 03:40:04,277 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3967 +[2025-03-11 03:40:04,335 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6506 +[2025-03-11 03:40:04,380 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.5987 +[2025-03-11 03:40:04,431 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5392 +[2025-03-11 03:40:04,459 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7908 +[2025-03-11 03:40:04,521 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5324 +[2025-03-11 03:40:04,548 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8771 +[2025-03-11 03:40:05,782 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:40:05,782 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:40:05,782 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:40:05,782 INFO hook.py line 689 2389709] wall : 0.7939 0.9163 +[2025-03-11 03:40:05,782 INFO hook.py line 689 2389709] chair : 0.7242 0.8742 +[2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] floor : 0.9544 0.9832 +[2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] table : 0.6287 0.7425 +[2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] door : 0.6298 0.8501 +[2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] couch : 0.7605 0.9142 +[2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] cabinet : 0.3090 0.5953 +[2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] shelf : 0.3652 0.4596 +[2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] desk : 0.5388 0.8380 +[2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] office chair : 0.1201 0.1496 +[2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] bed : 0.7520 0.8336 +[2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] pillow : 0.4981 0.6908 +[2025-03-11 03:40:05,783 INFO hook.py line 689 2389709] sink : 0.6696 0.7787 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] picture : 0.3753 0.4869 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] window : 0.5386 0.6385 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] toilet : 0.9157 0.9660 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] bookshelf : 0.4737 0.6258 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] monitor : 0.7979 0.9124 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] curtain : 0.6191 0.8739 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] book : 0.4237 0.7387 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] armchair : 0.4472 0.6086 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] coffee table : 0.6618 0.7861 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] box : 0.2862 0.4131 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] refrigerator : 0.5734 0.6692 +[2025-03-11 03:40:05,784 INFO hook.py line 689 2389709] lamp : 0.6600 0.8458 +[2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] kitchen cabinet: 0.6651 0.7363 +[2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] towel : 0.4447 0.5848 +[2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] clothes : 0.2205 0.4291 +[2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] tv : 0.8382 0.9199 +[2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] nightstand : 0.6411 0.8392 +[2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] counter : 0.1447 0.2209 +[2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] dresser : 0.3060 0.4001 +[2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] stool : 0.4469 0.6233 +[2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] plant : 0.7630 0.8033 +[2025-03-11 03:40:05,785 INFO hook.py line 689 2389709] ceiling : 0.9207 0.9643 +[2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] bathtub : 0.8706 0.9476 +[2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] end table : 0.1274 0.1981 +[2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] dining table : 0.0497 0.0598 +[2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] keyboard : 0.4195 0.5354 +[2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] bag : 0.0856 0.1008 +[2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] backpack : 0.5612 0.7306 +[2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] toilet paper : 0.3956 0.4586 +[2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] printer : 0.4593 0.5331 +[2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] tv stand : 0.3616 0.3963 +[2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] whiteboard : 0.5051 0.6783 +[2025-03-11 03:40:05,786 INFO hook.py line 689 2389709] blanket : 0.0000 0.0000 +[2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] shower curtain : 0.6103 0.7820 +[2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] trash can : 0.6487 0.7786 +[2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] closet : 0.0936 0.1146 +[2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] stairs : 0.5649 0.6354 +[2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] microwave : 0.5005 0.5543 +[2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] stove : 0.6144 0.8298 +[2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] shoe : 0.4685 0.5961 +[2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] computer tower : 0.4923 0.7814 +[2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] bottle : 0.1342 0.2328 +[2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 03:40:05,787 INFO hook.py line 689 2389709] ottoman : 0.1748 0.1858 +[2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] bench : 0.3559 0.4675 +[2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] board : 0.1475 0.2025 +[2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] washing machine: 0.8405 0.8707 +[2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] mirror : 0.3711 0.4271 +[2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] copier : 0.8158 0.9138 +[2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] sofa chair : 0.2005 0.4765 +[2025-03-11 03:40:05,790 INFO hook.py line 689 2389709] file cabinet : 0.4297 0.5339 +[2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] fan : 0.3368 0.3674 +[2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] laptop : 0.3778 0.5569 +[2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] shower : 0.2555 0.3536 +[2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] paper : 0.1059 0.1650 +[2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] person : 0.3091 0.4236 +[2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] paper towel dispenser: 0.5740 0.7232 +[2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] oven : 0.0056 0.0061 +[2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:40:05,791 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] blackboard : 0.5954 0.7086 +[2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] piano : 0.3804 0.4642 +[2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] suitcase : 0.4708 0.4947 +[2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] rail : 0.0527 0.0592 +[2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] radiator : 0.5600 0.7124 +[2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] recycling bin : 0.5170 0.6258 +[2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] wardrobe : 0.1966 0.2817 +[2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] soap dispenser : 0.8341 0.8806 +[2025-03-11 03:40:05,792 INFO hook.py line 689 2389709] telephone : 0.2590 0.2870 +[2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] bucket : 0.2011 0.2234 +[2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] clock : 0.2377 0.2747 +[2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] light : 0.0008 0.0009 +[2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] pipe : 0.1304 0.1930 +[2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] clothes dryer : 0.6042 0.6357 +[2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] guitar : 0.6208 0.8221 +[2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] toilet paper holder: 0.0394 0.0576 +[2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:40:05,793 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] column : 0.0891 0.1442 +[2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] ladder : 0.6010 0.7472 +[2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] bathroom stall : 0.3429 0.3905 +[2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] shower wall : 0.4716 0.6578 +[2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] cup : 0.2035 0.3377 +[2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] jacket : 0.1644 0.2303 +[2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] storage bin : 0.0137 0.0139 +[2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] coffee maker : 0.8160 0.9858 +[2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] dishwasher : 0.2449 0.3030 +[2025-03-11 03:40:05,794 INFO hook.py line 689 2389709] paper towel roll: 0.2803 0.3010 +[2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] mat : 0.1304 0.1522 +[2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] windowsill : 0.1721 0.2042 +[2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] bar : 0.1141 0.1766 +[2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] toaster : 0.1163 0.1488 +[2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] bulletin board : 0.1694 0.2692 +[2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] ironing board : 0.2308 0.2701 +[2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] fireplace : 0.2470 0.2566 +[2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] soap dish : 0.3317 0.5369 +[2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] kitchen counter: 0.4983 0.6699 +[2025-03-11 03:40:05,795 INFO hook.py line 689 2389709] doorframe : 0.3904 0.5770 +[2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3503 0.4037 +[2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] mini fridge : 0.3170 0.4011 +[2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] fire extinguisher: 0.1458 0.1818 +[2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] ball : 0.4276 0.6283 +[2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:40:05,797 INFO hook.py line 689 2389709] shower curtain rod: 0.2750 0.8923 +[2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] water cooler : 0.7642 0.8253 +[2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] paper cutter : 0.2751 0.3098 +[2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] tray : 0.0541 0.0620 +[2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] shower door : 0.0699 0.0846 +[2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] ledge : 0.0329 0.0455 +[2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] mouse : 0.0372 0.3853 +[2025-03-11 03:40:05,798 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5811 0.7237 +[2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] cart : 0.0582 0.0584 +[2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] scale : 0.2530 0.9218 +[2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] tissue box : 0.2159 0.2534 +[2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] light switch : 0.0324 0.2280 +[2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:40:05,799 INFO hook.py line 689 2389709] power outlet : 0.1137 0.3004 +[2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] decoration : 0.1604 0.4419 +[2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] sign : 0.0382 0.1333 +[2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] projector : 0.1911 0.5888 +[2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] closet door : 0.1105 0.1223 +[2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] vacuum cleaner : 0.8134 0.8311 +[2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] plunger : 0.5050 0.9903 +[2025-03-11 03:40:05,800 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] dish rack : 0.7575 0.7640 +[2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] broom : 0.0790 0.1338 +[2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] range hood : 0.6407 0.8630 +[2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] dustpan : 0.0278 0.0314 +[2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] water bottle : 0.0015 0.0059 +[2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] handicap bar : 0.0077 0.0951 +[2025-03-11 03:40:05,801 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] shower floor : 0.1647 0.9972 +[2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] mailbox : 0.1375 0.1376 +[2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] bowl : 0.0384 0.0418 +[2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] paper bag : 0.0294 0.0684 +[2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] projector screen: 0.0076 0.0105 +[2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] divider : 0.4596 0.5663 +[2025-03-11 03:40:05,802 INFO hook.py line 689 2389709] laundry detergent: 0.0020 0.0020 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] bathroom counter: 0.2943 0.3514 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] object : 0.0507 0.1162 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] bathroom vanity: 0.4821 0.8412 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] closet wall : 0.0936 0.1253 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] laundry hamper : 0.0696 0.0918 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] bathroom stall door: 0.4922 0.5440 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] ceiling light : 0.2059 0.2332 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] trash bin : 0.2749 0.3306 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] dumbbell : 0.3403 0.9780 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] stair rail : 0.0249 0.0255 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] tube : 0.0714 0.2293 +[2025-03-11 03:40:05,803 INFO hook.py line 689 2389709] bathroom cabinet: 0.2772 0.4094 +[2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] closet rod : 0.4397 0.8231 +[2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] shower head : 0.2145 0.3731 +[2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] case of water bottles: 0.0061 0.0061 +[2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:40:05,804 INFO hook.py line 689 2389709] fire alarm : 0.0439 0.8636 +[2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] calendar : 0.1732 0.2951 +[2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] potted plant : 0.2470 0.2756 +[2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:40:05,805 INFO hook.py line 689 2389709] mattress : 0.0061 0.0062 +[2025-03-11 03:40:05,805 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:40:05,805 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2824/0.3794/0.8092. +[2025-03-11 03:40:05,806 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:40:05,827 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2874 +[2025-03-11 03:40:05,828 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:40:35,475 INFO hook.py line 566 2389709] Train: [45/100][50/300] Data 0.002 (0.003) Batch 0.480 (0.491) Remain 02:17:12 loss: 1.0728 Lr: 3.18124e-03 +[2025-03-11 03:41:00,512 INFO hook.py line 566 2389709] Train: [45/100][100/300] Data 0.003 (0.002) Batch 0.532 (0.496) Remain 02:18:07 loss: 0.8781 Lr: 3.16797e-03 +[2025-03-11 03:41:25,299 INFO hook.py line 566 2389709] Train: [45/100][150/300] Data 0.003 (0.002) Batch 0.419 (0.496) Remain 02:17:39 loss: 0.5400 Lr: 3.15468e-03 +[2025-03-11 03:41:49,840 INFO hook.py line 566 2389709] Train: [45/100][200/300] Data 0.002 (0.002) Batch 0.441 (0.495) Remain 02:16:52 loss: 0.8408 Lr: 3.14138e-03 +[2025-03-11 03:42:14,767 INFO hook.py line 566 2389709] Train: [45/100][250/300] Data 0.002 (0.002) Batch 0.462 (0.496) Remain 02:16:40 loss: 0.8559 Lr: 3.12805e-03 +[2025-03-11 03:42:38,792 INFO hook.py line 566 2389709] Train: [45/100][300/300] Data 0.002 (0.002) Batch 0.443 (0.493) Remain 02:15:34 loss: 0.7574 Lr: 3.11470e-03 +[2025-03-11 03:42:38,792 INFO misc.py line 135 2389709] Train result: loss: 0.7572 +[2025-03-11 03:42:38,890 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:43:35,339 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4818 +[2025-03-11 03:43:35,393 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5498 +[2025-03-11 03:43:35,435 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6869 +[2025-03-11 03:43:35,489 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.8081 +[2025-03-11 03:43:35,522 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0832 +[2025-03-11 03:43:35,583 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.9060 +[2025-03-11 03:43:35,637 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9918 +[2025-03-11 03:43:35,673 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4060 +[2025-03-11 03:43:35,719 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1977 +[2025-03-11 03:43:35,752 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2460 +[2025-03-11 03:43:35,802 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2549 +[2025-03-11 03:43:35,840 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8876 +[2025-03-11 03:43:35,893 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.7783 +[2025-03-11 03:43:35,933 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.0530 +[2025-03-11 03:43:35,973 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0967 +[2025-03-11 03:43:36,020 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1361 +[2025-03-11 03:43:36,058 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4580 +[2025-03-11 03:43:36,098 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7906 +[2025-03-11 03:43:36,146 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7367 +[2025-03-11 03:43:36,186 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8372 +[2025-03-11 03:43:36,230 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6451 +[2025-03-11 03:43:36,270 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6624 +[2025-03-11 03:43:36,305 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5418 +[2025-03-11 03:43:36,353 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1196 +[2025-03-11 03:43:36,404 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8261 +[2025-03-11 03:43:36,447 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1960 +[2025-03-11 03:43:36,501 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8579 +[2025-03-11 03:43:36,550 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7503 +[2025-03-11 03:43:36,589 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1656 +[2025-03-11 03:43:36,648 INFO hook.py line 748 2389709] Test: [30/78] Loss 2.1486 +[2025-03-11 03:43:36,710 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6952 +[2025-03-11 03:43:36,757 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1986 +[2025-03-11 03:43:36,819 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8811 +[2025-03-11 03:43:36,862 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5985 +[2025-03-11 03:43:36,906 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0717 +[2025-03-11 03:43:36,950 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3477 +[2025-03-11 03:43:36,987 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1615 +[2025-03-11 03:43:37,026 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7652 +[2025-03-11 03:43:37,092 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1430 +[2025-03-11 03:43:37,142 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5015 +[2025-03-11 03:43:37,189 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3564 +[2025-03-11 03:43:37,221 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4071 +[2025-03-11 03:43:37,261 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0425 +[2025-03-11 03:43:37,324 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8337 +[2025-03-11 03:43:37,364 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7282 +[2025-03-11 03:43:37,419 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0438 +[2025-03-11 03:43:37,461 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8676 +[2025-03-11 03:43:37,497 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0863 +[2025-03-11 03:43:37,529 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4517 +[2025-03-11 03:43:37,562 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6184 +[2025-03-11 03:43:37,596 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3503 +[2025-03-11 03:43:37,632 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4013 +[2025-03-11 03:43:37,663 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1166 +[2025-03-11 03:43:37,702 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2141 +[2025-03-11 03:43:37,740 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0123 +[2025-03-11 03:43:37,784 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9611 +[2025-03-11 03:43:37,819 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.4313 +[2025-03-11 03:43:37,846 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2355 +[2025-03-11 03:43:37,887 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8174 +[2025-03-11 03:43:37,928 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.9399 +[2025-03-11 03:43:37,958 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8808 +[2025-03-11 03:43:37,997 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9619 +[2025-03-11 03:43:38,035 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3935 +[2025-03-11 03:43:38,094 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7968 +[2025-03-11 03:43:38,125 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1837 +[2025-03-11 03:43:38,170 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.4284 +[2025-03-11 03:43:38,209 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0840 +[2025-03-11 03:43:38,250 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9145 +[2025-03-11 03:43:38,283 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2847 +[2025-03-11 03:43:38,344 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7864 +[2025-03-11 03:43:38,391 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0469 +[2025-03-11 03:43:38,448 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9386 +[2025-03-11 03:43:38,505 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.4666 +[2025-03-11 03:43:38,548 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3430 +[2025-03-11 03:43:38,600 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3683 +[2025-03-11 03:43:38,630 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0945 +[2025-03-11 03:43:38,692 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7401 +[2025-03-11 03:43:38,718 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.5236 +[2025-03-11 03:43:39,939 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:43:39,940 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:43:39,940 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] wall : 0.7628 0.9367 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] chair : 0.7256 0.8649 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] floor : 0.9587 0.9807 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] table : 0.6397 0.7583 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] door : 0.6476 0.7538 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] couch : 0.7664 0.8841 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] cabinet : 0.3596 0.6075 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] shelf : 0.4012 0.5631 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] desk : 0.5564 0.7337 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] office chair : 0.2137 0.3114 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] bed : 0.7209 0.8515 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] pillow : 0.4454 0.7692 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] sink : 0.6542 0.7587 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] picture : 0.3480 0.5074 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] window : 0.5163 0.5982 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] toilet : 0.9304 0.9636 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] bookshelf : 0.4768 0.6065 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] monitor : 0.8323 0.8656 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] curtain : 0.6151 0.6856 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] book : 0.4505 0.6781 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] armchair : 0.5157 0.6930 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] coffee table : 0.5776 0.7707 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] box : 0.3094 0.4769 +[2025-03-11 03:43:39,940 INFO hook.py line 689 2389709] refrigerator : 0.5997 0.6531 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] lamp : 0.6387 0.7692 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] kitchen cabinet: 0.6363 0.7317 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] towel : 0.4237 0.6212 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] clothes : 0.1895 0.3351 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] tv : 0.8797 0.9377 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] nightstand : 0.6281 0.8381 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] counter : 0.2726 0.3659 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] dresser : 0.2909 0.3727 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] stool : 0.4431 0.6300 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] plant : 0.7977 0.8398 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] ceiling : 0.9250 0.9664 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] bathtub : 0.8702 0.8988 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] end table : 0.1552 0.2370 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] dining table : 0.0969 0.1289 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] keyboard : 0.3701 0.4692 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] bag : 0.1027 0.1467 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] backpack : 0.4752 0.4903 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] toilet paper : 0.4170 0.4834 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] printer : 0.3377 0.4833 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] tv stand : 0.4529 0.6593 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] whiteboard : 0.5207 0.6260 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] blanket : 0.0696 0.1572 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] shower curtain : 0.5757 0.6227 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] trash can : 0.5670 0.6900 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] closet : 0.1079 0.1445 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] stairs : 0.4447 0.6701 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] microwave : 0.4325 0.7091 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] stove : 0.5671 0.8155 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] shoe : 0.3679 0.4167 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] computer tower : 0.5650 0.7632 +[2025-03-11 03:43:39,941 INFO hook.py line 689 2389709] bottle : 0.0832 0.1306 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] bin : 0.0509 0.2599 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] ottoman : 0.1939 0.2013 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] bench : 0.3510 0.4178 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] board : 0.1564 0.2956 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] washing machine: 0.8021 0.8709 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] mirror : 0.3324 0.4485 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] copier : 0.8179 0.9226 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] sofa chair : 0.1817 0.3052 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] file cabinet : 0.4746 0.5235 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] fan : 0.3630 0.4272 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] laptop : 0.4928 0.7128 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] shower : 0.3530 0.3815 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] paper : 0.0609 0.1067 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] person : 0.4242 0.5543 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] paper towel dispenser: 0.5246 0.6828 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] oven : 0.0183 0.0186 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] blinds : 0.0003 0.0003 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] blackboard : 0.5789 0.6438 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] piano : 0.2463 0.7354 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] suitcase : 0.5642 0.7035 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] rail : 0.0460 0.0601 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] radiator : 0.5549 0.6738 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] recycling bin : 0.3381 0.6999 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] wardrobe : 0.2151 0.2332 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] soap dispenser : 0.6777 0.9403 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] telephone : 0.1837 0.2100 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] bucket : 0.2988 0.4304 +[2025-03-11 03:43:39,942 INFO hook.py line 689 2389709] clock : 0.2121 0.2832 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] light : 0.0057 0.0067 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] pipe : 0.0193 0.0195 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] clothes dryer : 0.3865 0.4025 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] guitar : 0.7287 0.7457 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] toilet paper holder: 0.0473 0.1233 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] column : 0.0002 0.0002 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] ladder : 0.5648 0.5985 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] bathroom stall : 0.3473 0.3746 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] shower wall : 0.4980 0.6197 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] cup : 0.2244 0.3184 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] jacket : 0.2003 0.2078 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] coffee maker : 0.7398 0.7978 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] dishwasher : 0.3005 0.3109 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] paper towel roll: 0.4218 0.4804 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] mat : 0.0921 0.0922 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] windowsill : 0.2309 0.4422 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] bar : 0.1249 0.1719 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] toaster : 0.1669 0.2101 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] bulletin board : 0.2773 0.3246 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] ironing board : 0.0490 0.0551 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] fireplace : 0.5523 0.5889 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] soap dish : 0.3539 0.5292 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] kitchen counter: 0.5647 0.7636 +[2025-03-11 03:43:39,943 INFO hook.py line 689 2389709] doorframe : 0.3643 0.4600 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3540 0.4811 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] mini fridge : 0.3057 0.3214 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] fire extinguisher: 0.1050 0.1306 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] ball : 0.5248 0.8928 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] shower curtain rod: 0.3404 0.8599 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] water cooler : 0.5710 0.5731 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] paper cutter : 0.2237 0.2791 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] tray : 0.0009 0.0012 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] shower door : 0.1141 0.1216 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] ledge : 0.0533 0.0739 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] mouse : 0.0871 0.3436 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5270 0.5736 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] cart : 0.1989 0.2820 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] scale : 0.4354 0.9582 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] tissue box : 0.1964 0.2243 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] light switch : 0.0236 0.0862 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] crate : 0.0020 0.0042 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] power outlet : 0.1299 0.2329 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] decoration : 0.1854 0.2203 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] projector : 0.0225 0.0808 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] closet door : 0.2171 0.2346 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] vacuum cleaner : 0.8685 0.8867 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] plunger : 0.5062 0.9103 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:43:39,944 INFO hook.py line 689 2389709] headphones : 0.0059 0.0070 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] dish rack : 0.6607 0.8541 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] broom : 0.0528 0.0836 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] range hood : 0.5296 0.6566 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] dustpan : 0.0939 0.1977 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] handicap bar : 0.0067 0.0977 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] shower floor : 0.9283 0.9762 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] mailbox : 0.3739 0.4001 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] bowl : 0.1529 0.3326 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] paper bag : 0.0750 0.1625 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] projector screen: 0.0120 0.0131 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] divider : 0.3974 0.4878 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] bathroom counter: 0.2245 0.5247 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] object : 0.0423 0.1036 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] bathroom vanity: 0.4723 0.6793 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] closet wall : 0.0823 0.1090 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] laundry hamper : 0.0717 0.0863 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] bathroom stall door: 0.5835 0.6517 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] ceiling light : 0.1940 0.2251 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] trash bin : 0.3267 0.4581 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] dumbbell : 0.4823 0.9781 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] stair rail : 0.1147 0.1297 +[2025-03-11 03:43:39,945 INFO hook.py line 689 2389709] tube : 0.0893 0.1029 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] bathroom cabinet: 0.4189 0.8909 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] closet rod : 0.3110 0.8419 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] coffee kettle : 0.0117 0.0161 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] shower head : 0.2321 0.3625 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] keyboard piano : 0.0010 0.0023 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] potted plant : 0.3639 0.4693 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 03:43:39,946 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:43:39,946 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2890/0.3774/0.8081. +[2025-03-11 03:43:39,946 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:43:39,959 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2890 +[2025-03-11 03:43:39,959 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2890 +[2025-03-11 03:43:39,959 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:44:10,316 INFO hook.py line 566 2389709] Train: [46/100][50/300] Data 0.002 (0.002) Batch 0.428 (0.487) Remain 02:13:34 loss: 0.7048 Lr: 3.10134e-03 +[2025-03-11 03:44:34,662 INFO hook.py line 566 2389709] Train: [46/100][100/300] Data 0.002 (0.002) Batch 0.528 (0.487) Remain 02:13:07 loss: 0.8099 Lr: 3.08796e-03 +[2025-03-11 03:44:59,558 INFO hook.py line 566 2389709] Train: [46/100][150/300] Data 0.002 (0.002) Batch 0.468 (0.491) Remain 02:13:43 loss: 0.6607 Lr: 3.07456e-03 +[2025-03-11 03:45:24,058 INFO hook.py line 566 2389709] Train: [46/100][200/300] Data 0.002 (0.002) Batch 0.483 (0.491) Remain 02:13:15 loss: 0.8416 Lr: 3.06114e-03 +[2025-03-11 03:45:48,366 INFO hook.py line 566 2389709] Train: [46/100][250/300] Data 0.002 (0.002) Batch 0.479 (0.490) Remain 02:12:37 loss: 0.7008 Lr: 3.04770e-03 +[2025-03-11 03:46:12,299 INFO hook.py line 566 2389709] Train: [46/100][300/300] Data 0.002 (0.002) Batch 0.476 (0.488) Remain 02:11:42 loss: 0.5520 Lr: 3.03425e-03 +[2025-03-11 03:46:12,300 INFO misc.py line 135 2389709] Train result: loss: 0.7367 +[2025-03-11 03:46:12,401 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:47:07,307 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5168 +[2025-03-11 03:47:07,351 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2246 +[2025-03-11 03:47:07,389 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5914 +[2025-03-11 03:47:07,438 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5204 +[2025-03-11 03:47:07,478 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8803 +[2025-03-11 03:47:07,539 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2544 +[2025-03-11 03:47:07,594 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9044 +[2025-03-11 03:47:07,634 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4961 +[2025-03-11 03:47:07,687 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2920 +[2025-03-11 03:47:07,727 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.6543 +[2025-03-11 03:47:07,776 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0770 +[2025-03-11 03:47:07,820 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3969 +[2025-03-11 03:47:07,869 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4372 +[2025-03-11 03:47:07,907 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7048 +[2025-03-11 03:47:07,943 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.6584 +[2025-03-11 03:47:07,992 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1143 +[2025-03-11 03:47:08,033 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3653 +[2025-03-11 03:47:08,069 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1427 +[2025-03-11 03:47:08,111 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7324 +[2025-03-11 03:47:08,144 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8685 +[2025-03-11 03:47:08,182 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6396 +[2025-03-11 03:47:08,224 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9277 +[2025-03-11 03:47:08,254 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6558 +[2025-03-11 03:47:08,303 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0962 +[2025-03-11 03:47:08,345 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9471 +[2025-03-11 03:47:08,390 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0250 +[2025-03-11 03:47:08,449 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8463 +[2025-03-11 03:47:08,485 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5301 +[2025-03-11 03:47:08,517 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9717 +[2025-03-11 03:47:08,578 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3556 +[2025-03-11 03:47:08,639 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8248 +[2025-03-11 03:47:08,675 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0979 +[2025-03-11 03:47:08,736 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.2856 +[2025-03-11 03:47:08,776 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.9360 +[2025-03-11 03:47:08,814 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.6484 +[2025-03-11 03:47:08,855 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2958 +[2025-03-11 03:47:08,896 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5534 +[2025-03-11 03:47:08,936 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7384 +[2025-03-11 03:47:09,002 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8770 +[2025-03-11 03:47:09,049 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4940 +[2025-03-11 03:47:09,093 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1161 +[2025-03-11 03:47:09,126 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5955 +[2025-03-11 03:47:09,166 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3782 +[2025-03-11 03:47:09,224 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8126 +[2025-03-11 03:47:09,271 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6665 +[2025-03-11 03:47:09,322 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9572 +[2025-03-11 03:47:09,362 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6806 +[2025-03-11 03:47:09,397 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2736 +[2025-03-11 03:47:09,429 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2174 +[2025-03-11 03:47:09,462 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9370 +[2025-03-11 03:47:09,494 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8796 +[2025-03-11 03:47:09,528 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7385 +[2025-03-11 03:47:09,555 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.7259 +[2025-03-11 03:47:09,594 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8761 +[2025-03-11 03:47:09,632 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1522 +[2025-03-11 03:47:09,676 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3110 +[2025-03-11 03:47:09,710 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6987 +[2025-03-11 03:47:09,738 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0670 +[2025-03-11 03:47:09,776 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7485 +[2025-03-11 03:47:09,813 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6840 +[2025-03-11 03:47:09,839 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9132 +[2025-03-11 03:47:09,874 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1121 +[2025-03-11 03:47:09,911 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4087 +[2025-03-11 03:47:09,971 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7555 +[2025-03-11 03:47:10,000 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.7725 +[2025-03-11 03:47:10,044 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7701 +[2025-03-11 03:47:10,084 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0501 +[2025-03-11 03:47:10,119 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2804 +[2025-03-11 03:47:10,150 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4731 +[2025-03-11 03:47:10,212 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8558 +[2025-03-11 03:47:10,258 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8096 +[2025-03-11 03:47:10,313 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5429 +[2025-03-11 03:47:10,366 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7154 +[2025-03-11 03:47:10,411 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.5424 +[2025-03-11 03:47:10,463 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4825 +[2025-03-11 03:47:10,492 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6988 +[2025-03-11 03:47:10,550 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4957 +[2025-03-11 03:47:10,577 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8204 +[2025-03-11 03:47:11,909 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:47:11,910 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:47:11,910 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] wall : 0.7818 0.8862 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] chair : 0.7398 0.8939 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] floor : 0.9568 0.9825 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] table : 0.6481 0.8133 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] door : 0.5999 0.7028 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] couch : 0.8108 0.9116 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] cabinet : 0.3251 0.5960 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] shelf : 0.3716 0.5599 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] desk : 0.5615 0.7564 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] office chair : 0.1096 0.1313 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] bed : 0.7521 0.8156 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] pillow : 0.5257 0.6696 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] sink : 0.6284 0.7356 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] picture : 0.3082 0.3799 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] window : 0.5337 0.8292 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] toilet : 0.9032 0.9608 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] bookshelf : 0.4323 0.6212 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] monitor : 0.8192 0.9572 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] curtain : 0.6587 0.8194 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] book : 0.4354 0.8026 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] armchair : 0.4784 0.6532 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] coffee table : 0.6345 0.7338 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] box : 0.3006 0.3782 +[2025-03-11 03:47:11,910 INFO hook.py line 689 2389709] refrigerator : 0.6501 0.6687 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] lamp : 0.6394 0.7562 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] kitchen cabinet: 0.6125 0.6694 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] towel : 0.4842 0.5610 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] clothes : 0.1997 0.3308 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] tv : 0.6996 0.9225 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] nightstand : 0.6995 0.8255 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] counter : 0.2353 0.4260 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] dresser : 0.3783 0.4347 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] stool : 0.5563 0.7462 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] plant : 0.8075 0.8927 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] ceiling : 0.9219 0.9643 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] bathtub : 0.8890 0.9217 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] end table : 0.1181 0.1496 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] dining table : 0.0120 0.0142 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] keyboard : 0.4033 0.5372 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] bag : 0.1045 0.1195 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] backpack : 0.5731 0.7542 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] toilet paper : 0.4260 0.4747 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] printer : 0.3445 0.7253 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] tv stand : 0.6703 0.7643 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] whiteboard : 0.4564 0.7001 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] blanket : 0.0595 0.0720 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] shower curtain : 0.5380 0.6125 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] trash can : 0.5798 0.8438 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] closet : 0.0824 0.0999 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] stairs : 0.4712 0.6808 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] microwave : 0.5366 0.6645 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] stove : 0.5798 0.7786 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] shoe : 0.4600 0.6145 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] computer tower : 0.5955 0.8401 +[2025-03-11 03:47:11,911 INFO hook.py line 689 2389709] bottle : 0.1683 0.2881 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] ottoman : 0.4400 0.4766 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] bench : 0.4308 0.5360 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] board : 0.1098 0.1524 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] washing machine: 0.8280 0.9361 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] mirror : 0.3064 0.4123 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] copier : 0.7894 0.9376 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] sofa chair : 0.1186 0.1745 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] file cabinet : 0.4934 0.6654 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] fan : 0.2992 0.3690 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] laptop : 0.4328 0.6977 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] shower : 0.1291 0.1429 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] paper : 0.0213 0.0436 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] person : 0.2758 0.5838 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] paper towel dispenser: 0.5528 0.5719 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] oven : 0.0834 0.1151 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] blinds : 0.0119 0.0139 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] blackboard : 0.5823 0.6648 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] piano : 0.5108 0.5424 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] suitcase : 0.5466 0.6504 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] rail : 0.0367 0.0408 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] radiator : 0.5796 0.6515 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] recycling bin : 0.4579 0.6846 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] wardrobe : 0.1248 0.1324 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] soap dispenser : 0.3795 0.5221 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] telephone : 0.2622 0.3910 +[2025-03-11 03:47:11,912 INFO hook.py line 689 2389709] bucket : 0.4056 0.5243 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] clock : 0.2773 0.3137 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] light : 0.0021 0.0023 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] pipe : 0.0852 0.1246 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] clothes dryer : 0.5977 0.6283 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] guitar : 0.5446 0.8981 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] ladder : 0.1256 0.1329 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] bathroom stall : 0.4637 0.6004 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] shower wall : 0.5156 0.7865 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] cup : 0.1770 0.4287 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] jacket : 0.1689 0.2197 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] coffee maker : 0.7472 0.8858 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] dishwasher : 0.2849 0.6031 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] paper towel roll: 0.1936 0.2683 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] mat : 0.2861 0.3725 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] windowsill : 0.2122 0.2950 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] bar : 0.1454 0.2197 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] bulletin board : 0.1391 0.1575 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] ironing board : 0.0083 0.0089 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] fireplace : 0.5299 0.5888 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] soap dish : 0.3394 0.4966 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] kitchen counter: 0.4177 0.4952 +[2025-03-11 03:47:11,913 INFO hook.py line 689 2389709] doorframe : 0.3946 0.5649 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2731 0.3390 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] mini fridge : 0.1658 0.1770 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] ball : 0.4593 0.6394 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] shower curtain rod: 0.2197 0.8910 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] water cooler : 0.5755 0.6550 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] paper cutter : 0.2298 0.2575 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] tray : 0.0366 0.0484 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] shower door : 0.1274 0.1597 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] pillar : 0.0024 0.0024 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] ledge : 0.0304 0.0489 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] toaster oven : 0.0005 0.0005 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] mouse : 0.0381 0.3767 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.4880 0.5443 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] furniture : 0.0001 0.0003 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] cart : 0.0412 0.0438 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] scale : 0.4517 0.9167 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] tissue box : 0.2481 0.3495 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] light switch : 0.0215 0.3202 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] power outlet : 0.1362 0.2383 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] decoration : 0.0195 0.0305 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] sign : 0.0246 0.0329 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] projector : 0.0818 0.6231 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] closet door : 0.1071 0.1151 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] vacuum cleaner : 0.8930 0.9621 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] plunger : 0.4092 0.9806 +[2025-03-11 03:47:11,914 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] headphones : 0.0066 0.0104 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] dish rack : 0.5285 0.9252 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] broom : 0.0031 0.0035 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] range hood : 0.7606 0.8975 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] dustpan : 0.1369 0.2057 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] handicap bar : 0.0200 0.2799 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] shower floor : 0.3940 0.9030 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] mailbox : 0.3224 0.4119 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] bowl : 0.2528 0.2694 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] paper bag : 0.0524 0.1148 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] projector screen: 0.0030 0.0034 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] divider : 0.4042 0.4568 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] bathroom counter: 0.3734 0.4318 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] object : 0.0201 0.0307 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] bathroom vanity: 0.4646 0.8655 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] closet wall : 0.0134 0.0182 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] laundry hamper : 0.0034 0.0039 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] bathroom stall door: 0.5057 0.7521 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] ceiling light : 0.3000 0.3905 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] trash bin : 0.3398 0.3929 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] dumbbell : 0.8361 0.9592 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] stair rail : 0.1587 0.1828 +[2025-03-11 03:47:11,915 INFO hook.py line 689 2389709] tube : 0.0732 0.0946 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] bathroom cabinet: 0.0652 0.0685 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] closet rod : 0.3409 0.6872 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] shower head : 0.2644 0.3575 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] case of water bottles: 0.0013 0.0013 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:47:11,916 INFO hook.py line 689 2389709] mattress : 0.0011 0.0011 +[2025-03-11 03:47:11,916 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:47:11,916 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2793/0.3732/0.8077. +[2025-03-11 03:47:11,917 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:47:11,936 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2890 +[2025-03-11 03:47:11,936 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:47:42,225 INFO hook.py line 566 2389709] Train: [47/100][50/300] Data 0.002 (0.002) Batch 0.477 (0.498) Remain 02:14:02 loss: 0.8250 Lr: 3.02079e-03 +[2025-03-11 03:48:06,967 INFO hook.py line 566 2389709] Train: [47/100][100/300] Data 0.002 (0.002) Batch 0.461 (0.496) Remain 02:13:11 loss: 0.6543 Lr: 3.00730e-03 +[2025-03-11 03:48:31,918 INFO hook.py line 566 2389709] Train: [47/100][150/300] Data 0.003 (0.002) Batch 0.574 (0.497) Remain 02:13:01 loss: 1.1465 Lr: 2.99380e-03 +[2025-03-11 03:48:56,762 INFO hook.py line 566 2389709] Train: [47/100][200/300] Data 0.002 (0.002) Batch 0.488 (0.497) Remain 02:12:34 loss: 0.5000 Lr: 2.98029e-03 +[2025-03-11 03:49:21,105 INFO hook.py line 566 2389709] Train: [47/100][250/300] Data 0.002 (0.002) Batch 0.479 (0.495) Remain 02:11:36 loss: 0.7202 Lr: 2.96676e-03 +[2025-03-11 03:49:45,316 INFO hook.py line 566 2389709] Train: [47/100][300/300] Data 0.002 (0.002) Batch 0.536 (0.493) Remain 02:10:42 loss: 0.8886 Lr: 2.95349e-03 +[2025-03-11 03:49:45,317 INFO misc.py line 135 2389709] Train result: loss: 0.7268 +[2025-03-11 03:49:45,410 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:50:34,880 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6385 +[2025-03-11 03:50:34,930 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3064 +[2025-03-11 03:50:34,967 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5633 +[2025-03-11 03:50:35,025 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4548 +[2025-03-11 03:50:35,067 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8507 +[2025-03-11 03:50:35,125 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0514 +[2025-03-11 03:50:35,182 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8115 +[2025-03-11 03:50:35,216 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4042 +[2025-03-11 03:50:35,262 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2240 +[2025-03-11 03:50:35,299 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.7891 +[2025-03-11 03:50:35,350 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2022 +[2025-03-11 03:50:35,396 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0871 +[2025-03-11 03:50:35,444 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4982 +[2025-03-11 03:50:35,484 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5767 +[2025-03-11 03:50:35,520 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3407 +[2025-03-11 03:50:35,578 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1265 +[2025-03-11 03:50:35,617 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3340 +[2025-03-11 03:50:35,659 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0135 +[2025-03-11 03:50:35,707 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2168 +[2025-03-11 03:50:35,747 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3650 +[2025-03-11 03:50:35,786 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8201 +[2025-03-11 03:50:35,833 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7819 +[2025-03-11 03:50:35,865 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4258 +[2025-03-11 03:50:35,918 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0680 +[2025-03-11 03:50:35,959 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3927 +[2025-03-11 03:50:36,004 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1857 +[2025-03-11 03:50:36,061 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1673 +[2025-03-11 03:50:36,109 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7409 +[2025-03-11 03:50:36,149 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9191 +[2025-03-11 03:50:36,207 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6576 +[2025-03-11 03:50:36,279 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6479 +[2025-03-11 03:50:36,333 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.7212 +[2025-03-11 03:50:36,390 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9607 +[2025-03-11 03:50:36,442 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4934 +[2025-03-11 03:50:36,483 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1195 +[2025-03-11 03:50:36,524 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3166 +[2025-03-11 03:50:36,562 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7056 +[2025-03-11 03:50:36,599 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6778 +[2025-03-11 03:50:36,665 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8830 +[2025-03-11 03:50:36,717 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3167 +[2025-03-11 03:50:36,764 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3152 +[2025-03-11 03:50:36,799 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5378 +[2025-03-11 03:50:36,838 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0168 +[2025-03-11 03:50:36,895 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0241 +[2025-03-11 03:50:36,937 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3018 +[2025-03-11 03:50:36,991 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9896 +[2025-03-11 03:50:37,029 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7110 +[2025-03-11 03:50:37,063 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9820 +[2025-03-11 03:50:37,099 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6552 +[2025-03-11 03:50:37,137 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7464 +[2025-03-11 03:50:37,167 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9731 +[2025-03-11 03:50:37,202 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8927 +[2025-03-11 03:50:37,230 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2536 +[2025-03-11 03:50:37,270 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9549 +[2025-03-11 03:50:37,313 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3970 +[2025-03-11 03:50:37,353 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8840 +[2025-03-11 03:50:37,391 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9384 +[2025-03-11 03:50:37,421 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2657 +[2025-03-11 03:50:37,460 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7084 +[2025-03-11 03:50:37,496 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5950 +[2025-03-11 03:50:37,520 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8752 +[2025-03-11 03:50:37,555 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8865 +[2025-03-11 03:50:37,593 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0561 +[2025-03-11 03:50:37,649 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7446 +[2025-03-11 03:50:37,677 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2662 +[2025-03-11 03:50:37,725 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8148 +[2025-03-11 03:50:37,765 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.6794 +[2025-03-11 03:50:37,804 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0994 +[2025-03-11 03:50:37,839 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3619 +[2025-03-11 03:50:37,904 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6964 +[2025-03-11 03:50:37,948 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.1530 +[2025-03-11 03:50:38,002 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3482 +[2025-03-11 03:50:38,055 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.4992 +[2025-03-11 03:50:38,103 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1907 +[2025-03-11 03:50:38,158 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7549 +[2025-03-11 03:50:38,191 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9049 +[2025-03-11 03:50:38,249 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.9610 +[2025-03-11 03:50:38,276 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3839 +[2025-03-11 03:50:39,638 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:50:39,639 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:50:39,639 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] wall : 0.7679 0.9344 +[2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] chair : 0.7210 0.8341 +[2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] floor : 0.9558 0.9738 +[2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] table : 0.6323 0.7519 +[2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] door : 0.5992 0.6956 +[2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] couch : 0.7794 0.8825 +[2025-03-11 03:50:39,639 INFO hook.py line 689 2389709] cabinet : 0.3162 0.4999 +[2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] shelf : 0.4257 0.7336 +[2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] desk : 0.5286 0.8084 +[2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] office chair : 0.2368 0.4024 +[2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] bed : 0.7342 0.8138 +[2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] pillow : 0.5532 0.7377 +[2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] sink : 0.6316 0.7433 +[2025-03-11 03:50:39,640 INFO hook.py line 689 2389709] picture : 0.3237 0.4230 +[2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] window : 0.5564 0.7091 +[2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] toilet : 0.9302 0.9487 +[2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] bookshelf : 0.3565 0.3936 +[2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] monitor : 0.8587 0.9229 +[2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] curtain : 0.6760 0.7443 +[2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] book : 0.4407 0.6650 +[2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] armchair : 0.5605 0.7302 +[2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] coffee table : 0.6123 0.6744 +[2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] box : 0.3247 0.5330 +[2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] refrigerator : 0.5853 0.5938 +[2025-03-11 03:50:39,641 INFO hook.py line 689 2389709] lamp : 0.6718 0.7710 +[2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] kitchen cabinet: 0.6923 0.8056 +[2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] towel : 0.4572 0.6300 +[2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] clothes : 0.1870 0.2790 +[2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] tv : 0.8653 0.8995 +[2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] nightstand : 0.6595 0.8286 +[2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] counter : 0.2830 0.4120 +[2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] dresser : 0.3294 0.4172 +[2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] stool : 0.4180 0.7544 +[2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:50:39,642 INFO hook.py line 689 2389709] plant : 0.6893 0.8377 +[2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] ceiling : 0.8985 0.9249 +[2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] bathtub : 0.8673 0.9059 +[2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] end table : 0.2299 0.3849 +[2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] dining table : 0.0729 0.0881 +[2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] keyboard : 0.3911 0.5758 +[2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] bag : 0.1690 0.3128 +[2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] backpack : 0.5417 0.7208 +[2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] toilet paper : 0.4079 0.5027 +[2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] printer : 0.4477 0.6052 +[2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] tv stand : 0.6063 0.9236 +[2025-03-11 03:50:39,643 INFO hook.py line 689 2389709] whiteboard : 0.3964 0.4358 +[2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] blanket : 0.0303 0.0413 +[2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] shower curtain : 0.5710 0.6415 +[2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] trash can : 0.5913 0.8467 +[2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] closet : 0.0951 0.1220 +[2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] stairs : 0.5777 0.6132 +[2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] microwave : 0.5007 0.7417 +[2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] stove : 0.5206 0.6511 +[2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] shoe : 0.3898 0.8453 +[2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] computer tower : 0.5697 0.7030 +[2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] bottle : 0.1759 0.3584 +[2025-03-11 03:50:39,644 INFO hook.py line 689 2389709] bin : 0.0010 0.0021 +[2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] ottoman : 0.2155 0.2498 +[2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] bench : 0.3814 0.4664 +[2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] board : 0.0808 0.1929 +[2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] washing machine: 0.8434 0.9063 +[2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] mirror : 0.3530 0.5017 +[2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] copier : 0.7763 0.8436 +[2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] basket : 0.0002 0.0008 +[2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] sofa chair : 0.1332 0.2136 +[2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] file cabinet : 0.3522 0.7556 +[2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] fan : 0.2364 0.2654 +[2025-03-11 03:50:39,645 INFO hook.py line 689 2389709] laptop : 0.4423 0.7540 +[2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] shower : 0.1489 0.1766 +[2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] paper : 0.0524 0.0999 +[2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] person : 0.1102 0.3401 +[2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] paper towel dispenser: 0.5100 0.7816 +[2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] oven : 0.0714 0.0743 +[2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] blackboard : 0.5777 0.5959 +[2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] piano : 0.4483 0.7477 +[2025-03-11 03:50:39,646 INFO hook.py line 689 2389709] suitcase : 0.4649 0.4844 +[2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] rail : 0.0243 0.0251 +[2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] radiator : 0.6103 0.6512 +[2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] recycling bin : 0.4897 0.5764 +[2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] wardrobe : 0.0991 0.1105 +[2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] soap dispenser : 0.7735 0.9276 +[2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] telephone : 0.2672 0.6031 +[2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] bucket : 0.2953 0.7130 +[2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] clock : 0.2316 0.3833 +[2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:50:39,647 INFO hook.py line 689 2389709] light : 0.0434 0.0721 +[2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] laundry basket : 0.0399 0.0409 +[2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] pipe : 0.1347 0.2420 +[2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] clothes dryer : 0.4676 0.4803 +[2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] guitar : 0.4601 0.7123 +[2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] toilet paper holder: 0.0036 0.0174 +[2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] column : 0.0066 0.0076 +[2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] ladder : 0.3731 0.5943 +[2025-03-11 03:50:39,648 INFO hook.py line 689 2389709] bathroom stall : 0.3394 0.3729 +[2025-03-11 03:50:39,652 INFO hook.py line 689 2389709] shower wall : 0.4519 0.5971 +[2025-03-11 03:50:39,652 INFO hook.py line 689 2389709] cup : 0.1524 0.3070 +[2025-03-11 03:50:39,652 INFO hook.py line 689 2389709] jacket : 0.1980 0.2628 +[2025-03-11 03:50:39,652 INFO hook.py line 689 2389709] storage bin : 0.0013 0.0018 +[2025-03-11 03:50:39,652 INFO hook.py line 689 2389709] coffee maker : 0.7114 0.9198 +[2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] dishwasher : 0.2777 0.4549 +[2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] paper towel roll: 0.3340 0.3916 +[2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] mat : 0.2676 0.3982 +[2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] windowsill : 0.1781 0.1971 +[2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] bar : 0.1715 0.3219 +[2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] toaster : 0.0216 0.0226 +[2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] bulletin board : 0.0803 0.0846 +[2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] ironing board : 0.0000 0.0000 +[2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] fireplace : 0.6131 0.6400 +[2025-03-11 03:50:39,653 INFO hook.py line 689 2389709] soap dish : 0.3398 0.4713 +[2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] kitchen counter: 0.5450 0.7188 +[2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] doorframe : 0.3829 0.5062 +[2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3443 0.4231 +[2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] mini fridge : 0.4031 0.4323 +[2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] fire extinguisher: 0.0063 0.0104 +[2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] ball : 0.6596 0.9213 +[2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] shower curtain rod: 0.4497 0.7168 +[2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] water cooler : 0.5182 0.6533 +[2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] paper cutter : 0.2380 0.5321 +[2025-03-11 03:50:39,654 INFO hook.py line 689 2389709] tray : 0.0547 0.1204 +[2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] shower door : 0.1094 0.1130 +[2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] ledge : 0.0068 0.0076 +[2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] toaster oven : 0.0233 0.0245 +[2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] mouse : 0.0597 0.4867 +[2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7042 0.7810 +[2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] cart : 0.2769 0.3765 +[2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] scale : 0.2280 0.9750 +[2025-03-11 03:50:39,655 INFO hook.py line 689 2389709] tissue box : 0.2262 0.2947 +[2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] light switch : 0.0402 0.0779 +[2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] power outlet : 0.1795 0.3032 +[2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] decoration : 0.1286 0.3039 +[2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] projector : 0.0678 0.9188 +[2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] closet door : 0.0714 0.0754 +[2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] vacuum cleaner : 0.8994 0.9711 +[2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] plunger : 0.5099 0.9840 +[2025-03-11 03:50:39,656 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] dish rack : 0.6022 0.9140 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] broom : 0.0712 0.1204 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] range hood : 0.6445 0.7589 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] dustpan : 0.0676 0.4382 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] hair dryer : 0.0099 0.0260 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] handicap bar : 0.0050 0.0634 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:50:39,657 INFO hook.py line 689 2389709] shower floor : 0.5154 0.6683 +[2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] mailbox : 0.4589 0.4700 +[2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] bowl : 0.0498 0.0958 +[2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] paper bag : 0.0739 0.0988 +[2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] projector screen: 0.0048 0.0051 +[2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] divider : 0.4935 0.5358 +[2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 03:50:39,658 INFO hook.py line 689 2389709] bathroom counter: 0.2764 0.5754 +[2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] object : 0.0371 0.0751 +[2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] bathroom vanity: 0.4884 0.7129 +[2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] closet wall : 0.0956 0.1419 +[2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] laundry hamper : 0.0326 0.0396 +[2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] bathroom stall door: 0.5680 0.6483 +[2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] ceiling light : 0.2739 0.6875 +[2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] trash bin : 0.3245 0.4839 +[2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] dumbbell : 0.1499 0.9844 +[2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] stair rail : 0.0982 0.1151 +[2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] tube : 0.0169 0.0198 +[2025-03-11 03:50:39,659 INFO hook.py line 689 2389709] bathroom cabinet: 0.3482 0.6244 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] closet rod : 0.4990 0.7994 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] coffee kettle : 0.0753 0.0791 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] shower head : 0.2618 0.3538 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 03:50:39,660 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:50:39,661 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 03:50:39,661 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:50:39,661 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 03:50:39,661 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:50:39,661 INFO hook.py line 689 2389709] mattress : 0.0170 0.0178 +[2025-03-11 03:50:39,661 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:50:39,661 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2838/0.3903/0.8042. +[2025-03-11 03:50:39,662 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:50:39,679 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2890 +[2025-03-11 03:50:39,680 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:51:09,537 INFO hook.py line 566 2389709] Train: [48/100][50/300] Data 0.002 (0.002) Batch 0.450 (0.493) Remain 02:10:18 loss: 0.7769 Lr: 2.93993e-03 +[2025-03-11 03:51:34,005 INFO hook.py line 566 2389709] Train: [48/100][100/300] Data 0.002 (0.002) Batch 0.511 (0.491) Remain 02:09:21 loss: 0.6612 Lr: 2.92636e-03 +[2025-03-11 03:51:58,679 INFO hook.py line 566 2389709] Train: [48/100][150/300] Data 0.002 (0.002) Batch 0.491 (0.492) Remain 02:09:09 loss: 0.5091 Lr: 2.91278e-03 +[2025-03-11 03:52:23,478 INFO hook.py line 566 2389709] Train: [48/100][200/300] Data 0.002 (0.002) Batch 0.501 (0.493) Remain 02:09:00 loss: 1.1047 Lr: 2.89919e-03 +[2025-03-11 03:52:47,990 INFO hook.py line 566 2389709] Train: [48/100][250/300] Data 0.002 (0.002) Batch 0.551 (0.492) Remain 02:08:26 loss: 0.6671 Lr: 2.88558e-03 +[2025-03-11 03:53:11,896 INFO hook.py line 566 2389709] Train: [48/100][300/300] Data 0.003 (0.002) Batch 0.468 (0.490) Remain 02:07:24 loss: 0.6893 Lr: 2.87196e-03 +[2025-03-11 03:53:11,897 INFO misc.py line 135 2389709] Train result: loss: 0.7349 +[2025-03-11 03:53:11,991 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:54:06,706 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5474 +[2025-03-11 03:54:06,752 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2706 +[2025-03-11 03:54:06,795 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7144 +[2025-03-11 03:54:06,855 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5635 +[2025-03-11 03:54:06,892 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0912 +[2025-03-11 03:54:06,953 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7505 +[2025-03-11 03:54:07,006 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7598 +[2025-03-11 03:54:07,041 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3583 +[2025-03-11 03:54:07,092 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2737 +[2025-03-11 03:54:07,130 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1079 +[2025-03-11 03:54:07,178 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1010 +[2025-03-11 03:54:07,210 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9591 +[2025-03-11 03:54:07,272 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.8961 +[2025-03-11 03:54:07,311 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9020 +[2025-03-11 03:54:07,362 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2841 +[2025-03-11 03:54:07,408 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.5519 +[2025-03-11 03:54:07,452 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2932 +[2025-03-11 03:54:07,487 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9408 +[2025-03-11 03:54:07,530 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2419 +[2025-03-11 03:54:07,573 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5692 +[2025-03-11 03:54:07,611 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7084 +[2025-03-11 03:54:07,659 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6863 +[2025-03-11 03:54:07,689 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.1927 +[2025-03-11 03:54:07,739 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0322 +[2025-03-11 03:54:07,781 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.0642 +[2025-03-11 03:54:07,824 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1568 +[2025-03-11 03:54:07,878 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.4487 +[2025-03-11 03:54:07,913 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6756 +[2025-03-11 03:54:07,949 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9236 +[2025-03-11 03:54:08,005 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0345 +[2025-03-11 03:54:08,065 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6177 +[2025-03-11 03:54:08,099 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1529 +[2025-03-11 03:54:08,156 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.3632 +[2025-03-11 03:54:08,196 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4095 +[2025-03-11 03:54:08,233 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3312 +[2025-03-11 03:54:08,274 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3707 +[2025-03-11 03:54:08,318 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.1852 +[2025-03-11 03:54:08,348 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6845 +[2025-03-11 03:54:08,423 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9396 +[2025-03-11 03:54:08,470 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2697 +[2025-03-11 03:54:08,514 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3370 +[2025-03-11 03:54:08,542 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4908 +[2025-03-11 03:54:08,583 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9453 +[2025-03-11 03:54:08,641 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0073 +[2025-03-11 03:54:08,685 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.1992 +[2025-03-11 03:54:08,735 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1696 +[2025-03-11 03:54:08,777 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9069 +[2025-03-11 03:54:08,811 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0287 +[2025-03-11 03:54:08,844 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7262 +[2025-03-11 03:54:08,877 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5702 +[2025-03-11 03:54:08,906 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8225 +[2025-03-11 03:54:08,940 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5503 +[2025-03-11 03:54:08,968 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4687 +[2025-03-11 03:54:09,003 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8222 +[2025-03-11 03:54:09,043 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4370 +[2025-03-11 03:54:09,083 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3444 +[2025-03-11 03:54:09,117 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1224 +[2025-03-11 03:54:09,144 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4209 +[2025-03-11 03:54:09,182 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.6360 +[2025-03-11 03:54:09,219 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4360 +[2025-03-11 03:54:09,243 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9571 +[2025-03-11 03:54:09,279 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0279 +[2025-03-11 03:54:09,315 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9837 +[2025-03-11 03:54:09,372 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8244 +[2025-03-11 03:54:09,400 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5940 +[2025-03-11 03:54:09,444 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9455 +[2025-03-11 03:54:09,484 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1087 +[2025-03-11 03:54:09,519 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0582 +[2025-03-11 03:54:09,550 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4108 +[2025-03-11 03:54:09,612 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.4593 +[2025-03-11 03:54:09,655 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7137 +[2025-03-11 03:54:09,710 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3819 +[2025-03-11 03:54:09,764 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7366 +[2025-03-11 03:54:09,809 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.9005 +[2025-03-11 03:54:09,861 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4639 +[2025-03-11 03:54:09,889 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1674 +[2025-03-11 03:54:09,948 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7313 +[2025-03-11 03:54:09,974 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1423 +[2025-03-11 03:54:11,379 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:54:11,379 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:54:11,380 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] wall : 0.7861 0.9105 +[2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] chair : 0.7009 0.7845 +[2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] floor : 0.9546 0.9833 +[2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] table : 0.6026 0.7907 +[2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] door : 0.6112 0.8290 +[2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] couch : 0.7742 0.9014 +[2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] cabinet : 0.3445 0.5210 +[2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] shelf : 0.3176 0.3897 +[2025-03-11 03:54:11,380 INFO hook.py line 689 2389709] desk : 0.5408 0.6888 +[2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] office chair : 0.2811 0.5866 +[2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] bed : 0.7341 0.9002 +[2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] pillow : 0.4871 0.6726 +[2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] sink : 0.6642 0.7432 +[2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] picture : 0.3382 0.4388 +[2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] window : 0.5143 0.6027 +[2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] toilet : 0.9150 0.9339 +[2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] bookshelf : 0.4601 0.6427 +[2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] monitor : 0.8426 0.9257 +[2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] curtain : 0.6608 0.8301 +[2025-03-11 03:54:11,381 INFO hook.py line 689 2389709] book : 0.4159 0.7945 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] armchair : 0.5240 0.6341 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] coffee table : 0.5512 0.7229 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] box : 0.2777 0.3478 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] refrigerator : 0.5951 0.6694 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] lamp : 0.6292 0.7826 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] kitchen cabinet: 0.6761 0.7960 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] towel : 0.3679 0.6580 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] clothes : 0.1987 0.3018 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] tv : 0.8033 0.9251 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] nightstand : 0.5287 0.9220 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] counter : 0.1853 0.2310 +[2025-03-11 03:54:11,382 INFO hook.py line 689 2389709] dresser : 0.4480 0.6322 +[2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] stool : 0.4026 0.8083 +[2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] plant : 0.7943 0.8605 +[2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] ceiling : 0.9156 0.9741 +[2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] bathtub : 0.8725 0.8951 +[2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] end table : 0.1577 0.3204 +[2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] dining table : 0.0673 0.1357 +[2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] keyboard : 0.3733 0.6510 +[2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] bag : 0.1779 0.2047 +[2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] backpack : 0.5969 0.7892 +[2025-03-11 03:54:11,383 INFO hook.py line 689 2389709] toilet paper : 0.4636 0.5418 +[2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] printer : 0.4313 0.5041 +[2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] tv stand : 0.3865 0.8993 +[2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] whiteboard : 0.4664 0.6040 +[2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] blanket : 0.0075 0.0081 +[2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] shower curtain : 0.5840 0.6828 +[2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] trash can : 0.6182 0.8136 +[2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] closet : 0.0953 0.1133 +[2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] stairs : 0.5750 0.5852 +[2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] microwave : 0.6003 0.6889 +[2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] stove : 0.5567 0.6743 +[2025-03-11 03:54:11,384 INFO hook.py line 689 2389709] shoe : 0.4537 0.6047 +[2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] computer tower : 0.4680 0.8238 +[2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] bottle : 0.1107 0.2522 +[2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] bin : 0.0003 0.0004 +[2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] ottoman : 0.4810 0.5200 +[2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] bench : 0.3827 0.4631 +[2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] board : 0.1337 0.2648 +[2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] washing machine: 0.7996 0.9384 +[2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] mirror : 0.3629 0.4033 +[2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] copier : 0.8422 0.9152 +[2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 03:54:11,385 INFO hook.py line 689 2389709] sofa chair : 0.1683 0.3537 +[2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] file cabinet : 0.4079 0.4944 +[2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] fan : 0.2501 0.6163 +[2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] laptop : 0.3874 0.7052 +[2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] shower : 0.2687 0.3525 +[2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] paper : 0.0639 0.0980 +[2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] person : 0.2189 0.5687 +[2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] paper towel dispenser: 0.5208 0.7784 +[2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] oven : 0.0176 0.0179 +[2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] blinds : 0.0121 0.0133 +[2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:54:11,386 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] blackboard : 0.6250 0.6626 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] piano : 0.4219 0.6365 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] suitcase : 0.4986 0.5537 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] rail : 0.0396 0.0439 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] radiator : 0.5991 0.6825 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] recycling bin : 0.4404 0.6993 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] container : 0.0016 0.0016 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] wardrobe : 0.1400 0.2159 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] soap dispenser : 0.7622 0.8916 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] telephone : 0.2855 0.3536 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] bucket : 0.2749 0.3726 +[2025-03-11 03:54:11,387 INFO hook.py line 689 2389709] clock : 0.1957 0.3963 +[2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] light : 0.0304 0.0583 +[2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] laundry basket : 0.0002 0.0002 +[2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] pipe : 0.0409 0.0728 +[2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] clothes dryer : 0.3294 0.3352 +[2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] guitar : 0.4970 0.8866 +[2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] column : 0.0403 0.0899 +[2025-03-11 03:54:11,388 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:54:11,389 INFO hook.py line 689 2389709] ladder : 0.3707 0.6629 +[2025-03-11 03:54:11,389 INFO hook.py line 689 2389709] bathroom stall : 0.5028 0.6742 +[2025-03-11 03:54:11,389 INFO hook.py line 689 2389709] shower wall : 0.4527 0.5272 +[2025-03-11 03:54:11,389 INFO hook.py line 689 2389709] cup : 0.1710 0.3779 +[2025-03-11 03:54:11,389 INFO hook.py line 689 2389709] jacket : 0.1194 0.1768 +[2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] storage bin : 0.0043 0.0049 +[2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] coffee maker : 0.7330 0.9869 +[2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] dishwasher : 0.4299 0.6351 +[2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] paper towel roll: 0.1835 0.2257 +[2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] mat : 0.0000 0.0000 +[2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] windowsill : 0.1776 0.2007 +[2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] bar : 0.1224 0.2099 +[2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] toaster : 0.2601 0.7030 +[2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] bulletin board : 0.2495 0.3152 +[2025-03-11 03:54:11,390 INFO hook.py line 689 2389709] ironing board : 0.1321 0.1397 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] fireplace : 0.6842 0.7444 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] soap dish : 0.3702 0.6004 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] kitchen counter: 0.5071 0.6554 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] doorframe : 0.3829 0.6830 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4105 0.5949 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] mini fridge : 0.1841 0.1929 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] fire extinguisher: 0.0878 0.1492 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] ball : 0.3267 0.9411 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] shower curtain rod: 0.5431 0.7500 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] water cooler : 0.3287 0.3296 +[2025-03-11 03:54:11,391 INFO hook.py line 689 2389709] paper cutter : 0.2769 0.3151 +[2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] tray : 0.0489 0.0591 +[2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] shower door : 0.1104 0.1175 +[2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] pillar : 0.0154 0.0162 +[2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] ledge : 0.0417 0.0473 +[2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] toaster oven : 0.0060 0.0061 +[2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] mouse : 0.0459 0.6327 +[2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5530 0.8809 +[2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] cart : 0.3410 0.4974 +[2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:54:11,392 INFO hook.py line 689 2389709] scale : 0.2539 0.4371 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] tissue box : 0.1214 0.1585 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] light switch : 0.0682 0.2074 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] power outlet : 0.0882 0.0958 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] decoration : 0.1659 0.6473 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] sign : 0.0269 0.0290 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] closet door : 0.2579 0.3123 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] vacuum cleaner : 0.7549 0.8980 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] plunger : 0.2550 0.9745 +[2025-03-11 03:54:11,393 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] headphones : 0.0349 0.0842 +[2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] dish rack : 0.7874 0.9113 +[2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] broom : 0.0598 0.0685 +[2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] range hood : 0.7874 0.8710 +[2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] dustpan : 0.0502 0.1863 +[2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] water bottle : 0.0043 0.0256 +[2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] handicap bar : 0.0554 0.8851 +[2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:54:11,394 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] mailbox : 0.3737 0.4747 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] bowl : 0.0728 0.0748 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] paper bag : 0.0492 0.1761 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] divider : 0.4877 0.6116 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] laundry detergent: 0.0005 0.0005 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] bathroom counter: 0.3051 0.3870 +[2025-03-11 03:54:11,395 INFO hook.py line 689 2389709] object : 0.0223 0.0397 +[2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] bathroom vanity: 0.4787 0.7587 +[2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] closet wall : 0.0079 0.0134 +[2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] laundry hamper : 0.0743 0.1007 +[2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] bathroom stall door: 0.4554 0.6748 +[2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] ceiling light : 0.2002 0.2215 +[2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] trash bin : 0.0966 0.1039 +[2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] dumbbell : 0.0590 0.9625 +[2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] stair rail : 0.2558 0.3288 +[2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] tube : 0.0748 0.0811 +[2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] bathroom cabinet: 0.2020 0.2618 +[2025-03-11 03:54:11,396 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] closet rod : 0.5205 0.7531 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] coffee kettle : 0.1554 0.6942 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] shower head : 0.2005 0.2557 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] case of water bottles: 0.1456 0.1520 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] coat rack : 0.0058 0.0909 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] fire alarm : 0.0891 0.5500 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:54:11,397 INFO hook.py line 689 2389709] calendar : 0.0005 0.0042 +[2025-03-11 03:54:11,398 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:54:11,398 INFO hook.py line 689 2389709] potted plant : 0.0974 0.7201 +[2025-03-11 03:54:11,398 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:54:11,398 INFO hook.py line 689 2389709] mattress : 0.0012 0.0012 +[2025-03-11 03:54:11,398 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:54:11,398 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2791/0.3986/0.8057. +[2025-03-11 03:54:11,399 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:54:11,404 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2890 +[2025-03-11 03:54:11,404 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:54:42,765 INFO hook.py line 566 2389709] Train: [49/100][50/300] Data 0.002 (0.002) Batch 0.435 (0.494) Remain 02:08:08 loss: 0.6182 Lr: 2.85833e-03 +[2025-03-11 03:55:07,591 INFO hook.py line 566 2389709] Train: [49/100][100/300] Data 0.002 (0.002) Batch 0.497 (0.496) Remain 02:08:00 loss: 0.4984 Lr: 2.84469e-03 +[2025-03-11 03:55:32,085 INFO hook.py line 566 2389709] Train: [49/100][150/300] Data 0.002 (0.002) Batch 0.581 (0.494) Remain 02:07:05 loss: 0.5797 Lr: 2.83104e-03 +[2025-03-11 03:55:56,822 INFO hook.py line 566 2389709] Train: [49/100][200/300] Data 0.003 (0.002) Batch 0.473 (0.494) Remain 02:06:45 loss: 0.6486 Lr: 2.81738e-03 +[2025-03-11 03:56:21,047 INFO hook.py line 566 2389709] Train: [49/100][250/300] Data 0.002 (0.002) Batch 0.493 (0.492) Remain 02:05:51 loss: 0.8926 Lr: 2.80371e-03 +[2025-03-11 03:56:44,959 INFO hook.py line 566 2389709] Train: [49/100][300/300] Data 0.002 (0.002) Batch 0.456 (0.490) Remain 02:04:51 loss: 0.7444 Lr: 2.79003e-03 +[2025-03-11 03:56:44,960 INFO misc.py line 135 2389709] Train result: loss: 0.7194 +[2025-03-11 03:56:45,101 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 03:57:40,541 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5057 +[2025-03-11 03:57:40,594 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0660 +[2025-03-11 03:57:40,636 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5707 +[2025-03-11 03:57:40,684 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5630 +[2025-03-11 03:57:40,723 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0617 +[2025-03-11 03:57:40,803 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0851 +[2025-03-11 03:57:40,856 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8366 +[2025-03-11 03:57:40,884 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2365 +[2025-03-11 03:57:40,934 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0858 +[2025-03-11 03:57:40,974 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2704 +[2025-03-11 03:57:41,024 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3283 +[2025-03-11 03:57:41,063 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1783 +[2025-03-11 03:57:41,114 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.3372 +[2025-03-11 03:57:41,161 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4788 +[2025-03-11 03:57:41,199 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1324 +[2025-03-11 03:57:41,250 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0941 +[2025-03-11 03:57:41,288 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5649 +[2025-03-11 03:57:41,339 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1054 +[2025-03-11 03:57:41,385 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7373 +[2025-03-11 03:57:41,421 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6841 +[2025-03-11 03:57:41,459 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7888 +[2025-03-11 03:57:41,499 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9339 +[2025-03-11 03:57:41,533 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7782 +[2025-03-11 03:57:41,589 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0270 +[2025-03-11 03:57:41,631 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4833 +[2025-03-11 03:57:41,684 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7707 +[2025-03-11 03:57:41,741 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0297 +[2025-03-11 03:57:41,791 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5432 +[2025-03-11 03:57:41,822 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2477 +[2025-03-11 03:57:41,883 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1123 +[2025-03-11 03:57:41,941 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5489 +[2025-03-11 03:57:41,986 INFO hook.py line 748 2389709] Test: [32/78] Loss 0.9567 +[2025-03-11 03:57:42,044 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7654 +[2025-03-11 03:57:42,088 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.8072 +[2025-03-11 03:57:42,132 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1352 +[2025-03-11 03:57:42,173 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5115 +[2025-03-11 03:57:42,215 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4557 +[2025-03-11 03:57:42,245 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8456 +[2025-03-11 03:57:42,318 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3227 +[2025-03-11 03:57:42,365 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3335 +[2025-03-11 03:57:42,427 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2533 +[2025-03-11 03:57:42,473 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4429 +[2025-03-11 03:57:42,514 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9827 +[2025-03-11 03:57:42,574 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8746 +[2025-03-11 03:57:42,622 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7202 +[2025-03-11 03:57:42,673 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1160 +[2025-03-11 03:57:42,716 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9846 +[2025-03-11 03:57:42,752 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9780 +[2025-03-11 03:57:42,787 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3823 +[2025-03-11 03:57:42,826 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8804 +[2025-03-11 03:57:42,861 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.4041 +[2025-03-11 03:57:42,898 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7382 +[2025-03-11 03:57:42,930 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2343 +[2025-03-11 03:57:42,970 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8035 +[2025-03-11 03:57:43,013 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4098 +[2025-03-11 03:57:43,059 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8368 +[2025-03-11 03:57:43,098 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0421 +[2025-03-11 03:57:43,129 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2965 +[2025-03-11 03:57:43,170 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.1193 +[2025-03-11 03:57:43,212 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6921 +[2025-03-11 03:57:43,241 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9636 +[2025-03-11 03:57:43,280 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0360 +[2025-03-11 03:57:43,318 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.8389 +[2025-03-11 03:57:43,378 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.2537 +[2025-03-11 03:57:43,411 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3524 +[2025-03-11 03:57:43,459 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1201 +[2025-03-11 03:57:43,499 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0371 +[2025-03-11 03:57:43,540 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1038 +[2025-03-11 03:57:43,575 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2726 +[2025-03-11 03:57:43,638 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.4940 +[2025-03-11 03:57:43,682 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7674 +[2025-03-11 03:57:43,739 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7291 +[2025-03-11 03:57:43,796 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6044 +[2025-03-11 03:57:43,840 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3031 +[2025-03-11 03:57:43,892 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6538 +[2025-03-11 03:57:43,921 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9671 +[2025-03-11 03:57:43,983 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8461 +[2025-03-11 03:57:44,009 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9802 +[2025-03-11 03:57:45,350 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 03:57:45,351 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 03:57:45,351 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] wall : 0.7720 0.9337 +[2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] chair : 0.7399 0.9144 +[2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] floor : 0.9581 0.9749 +[2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] table : 0.6194 0.7110 +[2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] door : 0.6101 0.7860 +[2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] couch : 0.8113 0.9135 +[2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] cabinet : 0.3298 0.4811 +[2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] shelf : 0.3587 0.5111 +[2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] desk : 0.5474 0.7193 +[2025-03-11 03:57:45,351 INFO hook.py line 689 2389709] office chair : 0.0354 0.0397 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] bed : 0.7667 0.8407 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] pillow : 0.5362 0.8017 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] sink : 0.6395 0.7358 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] picture : 0.3608 0.4714 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] window : 0.5297 0.7199 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] toilet : 0.9000 0.9767 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] bookshelf : 0.4801 0.6572 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] monitor : 0.8512 0.8802 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] curtain : 0.6226 0.6855 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] book : 0.4559 0.7251 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] armchair : 0.5656 0.7391 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] coffee table : 0.7203 0.8036 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] box : 0.3063 0.5108 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] refrigerator : 0.6090 0.6716 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] lamp : 0.6759 0.7702 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] kitchen cabinet: 0.6826 0.7916 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] towel : 0.4153 0.6788 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] clothes : 0.1599 0.5195 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] tv : 0.7493 0.7672 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] nightstand : 0.6555 0.7963 +[2025-03-11 03:57:45,352 INFO hook.py line 689 2389709] counter : 0.2873 0.4791 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] dresser : 0.2958 0.4062 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] stool : 0.4310 0.6284 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] plant : 0.7838 0.8777 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] ceiling : 0.9228 0.9533 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] bathtub : 0.8497 0.8984 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] end table : 0.1180 0.1461 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] dining table : 0.0421 0.0531 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] keyboard : 0.4036 0.6058 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] bag : 0.2927 0.3795 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] backpack : 0.5964 0.7079 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] toilet paper : 0.4434 0.5497 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] printer : 0.4959 0.5940 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] tv stand : 0.5785 0.7128 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] whiteboard : 0.4772 0.6632 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] blanket : 0.0001 0.0001 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] shower curtain : 0.6019 0.6508 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] trash can : 0.6543 0.8016 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] closet : 0.1099 0.1520 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] stairs : 0.5950 0.6226 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] microwave : 0.4172 0.7163 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] stove : 0.5935 0.7233 +[2025-03-11 03:57:45,353 INFO hook.py line 689 2389709] shoe : 0.4572 0.6547 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] computer tower : 0.6464 0.7424 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] bottle : 0.1426 0.4453 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] bin : 0.0090 0.0170 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] ottoman : 0.1141 0.1153 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] bench : 0.4599 0.5258 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] board : 0.0889 0.1314 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] washing machine: 0.8664 0.9286 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] mirror : 0.3195 0.4551 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] copier : 0.8754 0.9397 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] basket : 0.0282 0.0465 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] sofa chair : 0.1346 0.1796 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] file cabinet : 0.4213 0.5504 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] fan : 0.4278 0.4643 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] laptop : 0.4841 0.6186 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] shower : 0.2825 0.3022 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] paper : 0.0099 0.0120 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] person : 0.2853 0.3668 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] paper towel dispenser: 0.5657 0.8444 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] oven : 0.0335 0.0359 +[2025-03-11 03:57:45,354 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] blackboard : 0.5989 0.6595 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] piano : 0.4239 0.5832 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] suitcase : 0.5683 0.6774 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] rail : 0.0265 0.0293 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] radiator : 0.5802 0.6375 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] recycling bin : 0.5031 0.5559 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] wardrobe : 0.1117 0.1206 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] soap dispenser : 0.7960 0.9082 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] telephone : 0.3059 0.6659 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] bucket : 0.3495 0.5770 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] clock : 0.2316 0.3198 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] light : 0.0428 0.0480 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] laundry basket : 0.0256 0.0335 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] pipe : 0.0276 0.0470 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] clothes dryer : 0.7107 0.7615 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] guitar : 0.7475 0.8360 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] toilet paper holder: 0.0115 0.0213 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 03:57:45,355 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] column : 0.0010 0.0010 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] ladder : 0.4496 0.5319 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] bathroom stall : 0.5250 0.6222 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] shower wall : 0.4511 0.5650 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] cup : 0.1808 0.4828 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] jacket : 0.1956 0.2975 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] storage bin : 0.0060 0.0107 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] coffee maker : 0.4661 0.9956 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] dishwasher : 0.1720 0.1945 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] paper towel roll: 0.3102 0.3405 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] mat : 0.1689 0.1766 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] windowsill : 0.1401 0.1429 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] bar : 0.0647 0.2719 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] toaster : 0.0145 0.0189 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] bulletin board : 0.2929 0.6484 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] ironing board : 0.1469 0.1806 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] fireplace : 0.6250 0.6747 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] soap dish : 0.3117 0.4892 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] kitchen counter: 0.4492 0.5197 +[2025-03-11 03:57:45,356 INFO hook.py line 689 2389709] doorframe : 0.3904 0.5464 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4130 0.5710 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] mini fridge : 0.3603 0.3890 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] fire extinguisher: 0.1186 0.2835 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] ball : 0.4506 0.6305 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] shower curtain rod: 0.3007 0.8884 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] water cooler : 0.4229 0.4593 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] paper cutter : 0.2388 0.3794 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] tray : 0.0167 0.0305 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] shower door : 0.1861 0.2106 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] ledge : 0.0365 0.0481 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] mouse : 0.0788 0.2387 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7053 0.8195 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] cart : 0.1619 0.1726 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] scale : 0.0269 0.0629 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] tissue box : 0.2203 0.2830 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] light switch : 0.0547 0.1969 +[2025-03-11 03:57:45,357 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] power outlet : 0.0939 0.1255 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] decoration : 0.1513 0.6525 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] sign : 0.0688 0.0731 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] projector : 0.0380 0.9848 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] closet door : 0.0266 0.0284 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] vacuum cleaner : 0.6252 0.9811 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] plunger : 0.8338 0.9904 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] dish rack : 0.3060 0.3248 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] broom : 0.1202 0.2514 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] range hood : 0.7412 0.9003 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] dustpan : 0.0684 0.1217 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] water bottle : 0.0514 0.1230 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] handicap bar : 0.0580 0.7197 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 03:57:45,358 INFO hook.py line 689 2389709] shower floor : 0.7696 0.9928 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] mailbox : 0.3290 0.3332 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] paper bag : 0.0621 0.0901 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] divider : 0.4335 0.5157 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] laundry detergent: 0.0027 0.0030 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] bathroom counter: 0.2977 0.3188 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] object : 0.0416 0.0673 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] bathroom vanity: 0.4477 0.7540 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] closet wall : 0.0772 0.1267 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] laundry hamper : 0.0121 0.0156 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] bathroom stall door: 0.5286 0.5800 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] ceiling light : 0.2338 0.2827 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] trash bin : 0.2991 0.3728 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] dumbbell : 0.8924 0.9624 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] stair rail : 0.0771 0.0833 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] tube : 0.0673 0.1088 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] bathroom cabinet: 0.0989 0.1667 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 03:57:45,359 INFO hook.py line 689 2389709] closet rod : 0.1943 0.8619 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] shower head : 0.1939 0.2599 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] keyboard piano : 0.0416 0.0432 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] case of water bottles: 0.0800 0.0802 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] fire alarm : 0.0196 0.0714 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] calendar : 0.0022 0.0042 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 03:57:45,360 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 03:57:45,360 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 03:57:45,360 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2885/0.3823/0.8113. +[2025-03-11 03:57:45,361 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 03:57:45,378 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2890 +[2025-03-11 03:57:45,379 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 03:58:16,383 INFO hook.py line 566 2389709] Train: [50/100][50/300] Data 0.002 (0.002) Batch 0.476 (0.498) Remain 02:06:36 loss: 0.6947 Lr: 2.77634e-03 +[2025-03-11 03:58:40,662 INFO hook.py line 566 2389709] Train: [50/100][100/300] Data 0.002 (0.002) Batch 0.479 (0.492) Remain 02:04:32 loss: 0.5092 Lr: 2.76264e-03 +[2025-03-11 03:59:05,796 INFO hook.py line 566 2389709] Train: [50/100][150/300] Data 0.002 (0.002) Batch 0.569 (0.495) Remain 02:05:05 loss: 0.6410 Lr: 2.74894e-03 +[2025-03-11 03:59:30,349 INFO hook.py line 566 2389709] Train: [50/100][200/300] Data 0.002 (0.002) Batch 0.501 (0.494) Remain 02:04:23 loss: 0.7354 Lr: 2.73522e-03 +[2025-03-11 03:59:55,196 INFO hook.py line 566 2389709] Train: [50/100][250/300] Data 0.002 (0.002) Batch 0.411 (0.495) Remain 02:04:07 loss: 0.6754 Lr: 2.72150e-03 +[2025-03-11 04:00:19,065 INFO hook.py line 566 2389709] Train: [50/100][300/300] Data 0.002 (0.002) Batch 0.445 (0.492) Remain 02:02:58 loss: 0.9505 Lr: 2.70778e-03 +[2025-03-11 04:00:19,066 INFO misc.py line 135 2389709] Train result: loss: 0.7029 +[2025-03-11 04:00:19,172 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:01:15,469 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4330 +[2025-03-11 04:01:15,518 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6018 +[2025-03-11 04:01:15,556 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5243 +[2025-03-11 04:01:15,609 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4026 +[2025-03-11 04:01:15,647 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8354 +[2025-03-11 04:01:15,708 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2218 +[2025-03-11 04:01:15,761 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8890 +[2025-03-11 04:01:15,793 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4890 +[2025-03-11 04:01:15,844 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1658 +[2025-03-11 04:01:15,884 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0724 +[2025-03-11 04:01:15,937 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1246 +[2025-03-11 04:01:15,974 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0014 +[2025-03-11 04:01:16,025 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0433 +[2025-03-11 04:01:16,068 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.5689 +[2025-03-11 04:01:16,108 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0680 +[2025-03-11 04:01:16,161 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1928 +[2025-03-11 04:01:16,202 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1800 +[2025-03-11 04:01:16,244 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0030 +[2025-03-11 04:01:16,290 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2175 +[2025-03-11 04:01:16,331 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7246 +[2025-03-11 04:01:16,369 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6959 +[2025-03-11 04:01:16,427 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5970 +[2025-03-11 04:01:16,469 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7276 +[2025-03-11 04:01:16,517 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8244 +[2025-03-11 04:01:16,563 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3195 +[2025-03-11 04:01:16,612 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3202 +[2025-03-11 04:01:16,669 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7573 +[2025-03-11 04:01:16,711 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8062 +[2025-03-11 04:01:16,759 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.7338 +[2025-03-11 04:01:16,834 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1066 +[2025-03-11 04:01:16,894 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6909 +[2025-03-11 04:01:16,931 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5498 +[2025-03-11 04:01:16,993 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8952 +[2025-03-11 04:01:17,037 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.6746 +[2025-03-11 04:01:17,077 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2790 +[2025-03-11 04:01:17,124 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3957 +[2025-03-11 04:01:17,176 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4923 +[2025-03-11 04:01:17,205 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6432 +[2025-03-11 04:01:17,280 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.5141 +[2025-03-11 04:01:17,328 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6690 +[2025-03-11 04:01:17,378 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3186 +[2025-03-11 04:01:17,425 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4511 +[2025-03-11 04:01:17,465 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0662 +[2025-03-11 04:01:17,530 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9464 +[2025-03-11 04:01:17,571 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9570 +[2025-03-11 04:01:17,624 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1298 +[2025-03-11 04:01:17,672 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9108 +[2025-03-11 04:01:17,705 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0051 +[2025-03-11 04:01:17,741 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4506 +[2025-03-11 04:01:17,778 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4701 +[2025-03-11 04:01:17,808 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1829 +[2025-03-11 04:01:17,842 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5854 +[2025-03-11 04:01:17,871 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4753 +[2025-03-11 04:01:17,912 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8452 +[2025-03-11 04:01:17,955 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3608 +[2025-03-11 04:01:17,997 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8856 +[2025-03-11 04:01:18,035 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.5466 +[2025-03-11 04:01:18,066 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.6067 +[2025-03-11 04:01:18,105 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.6925 +[2025-03-11 04:01:18,141 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5919 +[2025-03-11 04:01:18,166 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8857 +[2025-03-11 04:01:18,201 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8988 +[2025-03-11 04:01:18,238 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4434 +[2025-03-11 04:01:18,296 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5903 +[2025-03-11 04:01:18,323 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1989 +[2025-03-11 04:01:18,372 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.5844 +[2025-03-11 04:01:18,411 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0457 +[2025-03-11 04:01:18,449 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8860 +[2025-03-11 04:01:18,485 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3670 +[2025-03-11 04:01:18,551 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7687 +[2025-03-11 04:01:18,595 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9388 +[2025-03-11 04:01:18,650 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6740 +[2025-03-11 04:01:18,703 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5858 +[2025-03-11 04:01:18,752 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3555 +[2025-03-11 04:01:18,807 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.8069 +[2025-03-11 04:01:18,841 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7999 +[2025-03-11 04:01:18,900 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6235 +[2025-03-11 04:01:18,927 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1540 +[2025-03-11 04:01:20,278 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:01:20,281 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:01:20,281 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] wall : 0.7869 0.9267 +[2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] chair : 0.7336 0.8899 +[2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] floor : 0.9571 0.9770 +[2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] table : 0.6175 0.7588 +[2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] door : 0.6402 0.7316 +[2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] couch : 0.7940 0.8798 +[2025-03-11 04:01:20,282 INFO hook.py line 689 2389709] cabinet : 0.2831 0.4071 +[2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] shelf : 0.4415 0.7299 +[2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] desk : 0.5334 0.7367 +[2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] office chair : 0.0533 0.0683 +[2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] bed : 0.7538 0.8693 +[2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] pillow : 0.5607 0.7178 +[2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] sink : 0.6165 0.7275 +[2025-03-11 04:01:20,283 INFO hook.py line 689 2389709] picture : 0.3467 0.4144 +[2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] window : 0.5582 0.7804 +[2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] toilet : 0.9239 0.9675 +[2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] bookshelf : 0.4153 0.4951 +[2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] monitor : 0.8529 0.8974 +[2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] curtain : 0.6603 0.7459 +[2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] book : 0.4208 0.6192 +[2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] armchair : 0.5077 0.5999 +[2025-03-11 04:01:20,284 INFO hook.py line 689 2389709] coffee table : 0.5856 0.7633 +[2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] box : 0.2291 0.2656 +[2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] refrigerator : 0.6391 0.7934 +[2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] lamp : 0.7010 0.8096 +[2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] kitchen cabinet: 0.5786 0.8010 +[2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] towel : 0.3898 0.6972 +[2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] clothes : 0.1879 0.3191 +[2025-03-11 04:01:20,285 INFO hook.py line 689 2389709] tv : 0.8456 0.8892 +[2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] nightstand : 0.6307 0.8610 +[2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] counter : 0.2489 0.3765 +[2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] dresser : 0.2634 0.3839 +[2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] stool : 0.4746 0.6220 +[2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] plant : 0.7649 0.9277 +[2025-03-11 04:01:20,286 INFO hook.py line 689 2389709] ceiling : 0.9201 0.9496 +[2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] bathtub : 0.8715 0.8951 +[2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] end table : 0.1272 0.1633 +[2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] dining table : 0.0618 0.0713 +[2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] keyboard : 0.3923 0.5983 +[2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] bag : 0.2791 0.3929 +[2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] backpack : 0.6384 0.7847 +[2025-03-11 04:01:20,287 INFO hook.py line 689 2389709] toilet paper : 0.4354 0.5193 +[2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] printer : 0.4580 0.5111 +[2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] tv stand : 0.5637 0.8025 +[2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] whiteboard : 0.5423 0.6459 +[2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] blanket : 0.0712 0.0926 +[2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] shower curtain : 0.6667 0.7584 +[2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] trash can : 0.6294 0.8520 +[2025-03-11 04:01:20,288 INFO hook.py line 689 2389709] closet : 0.1009 0.1219 +[2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] stairs : 0.4590 0.7706 +[2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] microwave : 0.4721 0.7021 +[2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] stove : 0.5512 0.8016 +[2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] shoe : 0.4984 0.6991 +[2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] computer tower : 0.5292 0.7888 +[2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] bottle : 0.0983 0.1597 +[2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 04:01:20,289 INFO hook.py line 689 2389709] ottoman : 0.4105 0.5160 +[2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] bench : 0.3750 0.4637 +[2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] board : 0.1978 0.2917 +[2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] washing machine: 0.8441 0.9299 +[2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] mirror : 0.3633 0.4865 +[2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] copier : 0.7964 0.9234 +[2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:01:20,290 INFO hook.py line 689 2389709] sofa chair : 0.1865 0.3607 +[2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] file cabinet : 0.4195 0.5241 +[2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] fan : 0.2689 0.3236 +[2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] laptop : 0.3949 0.6965 +[2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] shower : 0.1648 0.1886 +[2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] paper : 0.0416 0.0541 +[2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] person : 0.3196 0.6105 +[2025-03-11 04:01:20,291 INFO hook.py line 689 2389709] paper towel dispenser: 0.5030 0.7562 +[2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] oven : 0.0027 0.0064 +[2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] blinds : 0.0111 0.0131 +[2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] plate : 0.0006 0.0023 +[2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] blackboard : 0.5714 0.6292 +[2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] piano : 0.4456 0.9656 +[2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] suitcase : 0.5236 0.5684 +[2025-03-11 04:01:20,292 INFO hook.py line 689 2389709] rail : 0.0178 0.0182 +[2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] radiator : 0.5534 0.5953 +[2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] recycling bin : 0.4417 0.5565 +[2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] wardrobe : 0.2156 0.3996 +[2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] soap dispenser : 0.8219 0.9001 +[2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] telephone : 0.2743 0.3997 +[2025-03-11 04:01:20,293 INFO hook.py line 689 2389709] bucket : 0.2779 0.9052 +[2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] clock : 0.2674 0.2918 +[2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] light : 0.0220 0.0266 +[2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] laundry basket : 0.0007 0.0008 +[2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] pipe : 0.0836 0.1432 +[2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] clothes dryer : 0.7452 0.7924 +[2025-03-11 04:01:20,294 INFO hook.py line 689 2389709] guitar : 0.8091 0.8885 +[2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] column : 0.0082 0.0101 +[2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] ladder : 0.4975 0.7158 +[2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] bathroom stall : 0.4044 0.4396 +[2025-03-11 04:01:20,295 INFO hook.py line 689 2389709] shower wall : 0.3992 0.4673 +[2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] cup : 0.2091 0.5249 +[2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] jacket : 0.1585 0.2435 +[2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] storage bin : 0.0224 0.0247 +[2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] coffee maker : 0.5730 0.7439 +[2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] dishwasher : 0.2706 0.6838 +[2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] paper towel roll: 0.2961 0.4049 +[2025-03-11 04:01:20,296 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] mat : 0.1616 0.1698 +[2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] windowsill : 0.0842 0.0962 +[2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] bar : 0.1582 0.2690 +[2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] toaster : 0.1655 0.5687 +[2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] bulletin board : 0.3249 0.4112 +[2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] ironing board : 0.0935 0.1226 +[2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] fireplace : 0.2028 0.2029 +[2025-03-11 04:01:20,297 INFO hook.py line 689 2389709] soap dish : 0.3309 0.4811 +[2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] kitchen counter: 0.4947 0.8039 +[2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] doorframe : 0.4068 0.6821 +[2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4024 0.4989 +[2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] mini fridge : 0.4271 0.5129 +[2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] ball : 0.5659 0.8918 +[2025-03-11 04:01:20,298 INFO hook.py line 689 2389709] hat : 0.0120 0.0555 +[2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] shower curtain rod: 0.2996 0.8910 +[2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] water cooler : 0.7304 0.9460 +[2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] paper cutter : 0.2371 0.3357 +[2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] tray : 0.0019 0.0037 +[2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] shower door : 0.1787 0.3106 +[2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] ledge : 0.0404 0.0579 +[2025-03-11 04:01:20,299 INFO hook.py line 689 2389709] toaster oven : 0.0439 0.0706 +[2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] mouse : 0.0756 0.4574 +[2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7250 0.7750 +[2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] cart : 0.1598 0.1848 +[2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] scale : 0.2533 0.9629 +[2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] tissue box : 0.2510 0.4126 +[2025-03-11 04:01:20,300 INFO hook.py line 689 2389709] light switch : 0.0480 0.2991 +[2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] power outlet : 0.1529 0.3313 +[2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] decoration : 0.5128 0.6191 +[2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] sign : 0.0446 0.0575 +[2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] projector : 0.1327 0.8141 +[2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] closet door : 0.0651 0.0667 +[2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] vacuum cleaner : 0.8274 0.9249 +[2025-03-11 04:01:20,301 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] plunger : 0.6624 0.9716 +[2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] headphones : 0.0093 0.0191 +[2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] dish rack : 0.6568 0.6999 +[2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] broom : 0.0572 0.1890 +[2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] range hood : 0.7723 0.9060 +[2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] dustpan : 0.0659 0.1143 +[2025-03-11 04:01:20,302 INFO hook.py line 689 2389709] hair dryer : 0.0046 0.0080 +[2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] handicap bar : 0.0789 0.8450 +[2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] vent : 0.0529 0.0632 +[2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] shower floor : 0.5578 0.5702 +[2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] mailbox : 0.2610 0.2618 +[2025-03-11 04:01:20,303 INFO hook.py line 689 2389709] bowl : 0.2129 0.2791 +[2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] paper bag : 0.0649 0.1291 +[2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] projector screen: 0.0440 0.0444 +[2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] divider : 0.4769 0.5729 +[2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] bathroom counter: 0.2735 0.3151 +[2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] object : 0.0384 0.0872 +[2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] bathroom vanity: 0.4822 0.8816 +[2025-03-11 04:01:20,304 INFO hook.py line 689 2389709] closet wall : 0.1142 0.1680 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] laundry hamper : 0.1425 0.2247 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] bathroom stall door: 0.5714 0.7806 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] ceiling light : 0.4120 0.4901 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] trash bin : 0.4199 0.5072 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] dumbbell : 0.8254 0.9689 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] stair rail : 0.0677 0.0757 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] tube : 0.0766 0.1491 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] bathroom cabinet: 0.0749 0.0852 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] closet rod : 0.5047 0.8419 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] coffee kettle : 0.0792 0.0838 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] shower head : 0.2937 0.3239 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] case of water bottles: 0.0614 0.0614 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 04:01:20,305 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] folded chair : 0.0019 0.0027 +[2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] fire alarm : 0.0610 0.4773 +[2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:01:20,306 INFO hook.py line 689 2389709] mattress : 0.0156 0.0157 +[2025-03-11 04:01:20,306 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:01:20,306 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2984/0.4076/0.8115. +[2025-03-11 04:01:20,307 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:01:20,319 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.2984 +[2025-03-11 04:01:20,319 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:01:20,319 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:01:50,666 INFO hook.py line 566 2389709] Train: [51/100][50/300] Data 0.002 (0.002) Batch 0.479 (0.495) Remain 02:03:20 loss: 0.5503 Lr: 2.69404e-03 +[2025-03-11 04:02:15,422 INFO hook.py line 566 2389709] Train: [51/100][100/300] Data 0.002 (0.002) Batch 0.477 (0.495) Remain 02:02:56 loss: 0.6293 Lr: 2.68030e-03 +[2025-03-11 04:02:39,935 INFO hook.py line 566 2389709] Train: [51/100][150/300] Data 0.002 (0.002) Batch 0.528 (0.493) Remain 02:02:07 loss: 0.5910 Lr: 2.66656e-03 +[2025-03-11 04:03:04,225 INFO hook.py line 566 2389709] Train: [51/100][200/300] Data 0.002 (0.002) Batch 0.449 (0.491) Remain 02:01:14 loss: 0.9037 Lr: 2.65281e-03 +[2025-03-11 04:03:29,063 INFO hook.py line 566 2389709] Train: [51/100][250/300] Data 0.002 (0.002) Batch 0.569 (0.493) Remain 02:01:05 loss: 0.7709 Lr: 2.63906e-03 +[2025-03-11 04:03:52,719 INFO hook.py line 566 2389709] Train: [51/100][300/300] Data 0.001 (0.002) Batch 0.468 (0.489) Remain 01:59:52 loss: 0.8643 Lr: 2.62530e-03 +[2025-03-11 04:03:52,720 INFO misc.py line 135 2389709] Train result: loss: 0.7062 +[2025-03-11 04:03:52,810 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:04:47,908 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6227 +[2025-03-11 04:04:47,990 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.5885 +[2025-03-11 04:04:48,031 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7561 +[2025-03-11 04:04:48,086 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5181 +[2025-03-11 04:04:48,121 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7567 +[2025-03-11 04:04:48,181 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1308 +[2025-03-11 04:04:48,237 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7990 +[2025-03-11 04:04:48,283 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4034 +[2025-03-11 04:04:48,331 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2334 +[2025-03-11 04:04:48,366 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2582 +[2025-03-11 04:04:48,419 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2297 +[2025-03-11 04:04:48,465 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0174 +[2025-03-11 04:04:48,516 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6954 +[2025-03-11 04:04:48,555 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.2384 +[2025-03-11 04:04:48,601 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0355 +[2025-03-11 04:04:48,655 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0947 +[2025-03-11 04:04:48,709 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3710 +[2025-03-11 04:04:48,748 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.2145 +[2025-03-11 04:04:48,795 INFO hook.py line 748 2389709] Test: [19/78] Loss 1.7656 +[2025-03-11 04:04:48,839 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6595 +[2025-03-11 04:04:48,880 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6869 +[2025-03-11 04:04:48,930 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5791 +[2025-03-11 04:04:48,963 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3399 +[2025-03-11 04:04:49,014 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1805 +[2025-03-11 04:04:49,060 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7006 +[2025-03-11 04:04:49,105 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.7497 +[2025-03-11 04:04:49,161 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0492 +[2025-03-11 04:04:49,203 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8262 +[2025-03-11 04:04:49,238 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.8401 +[2025-03-11 04:04:49,301 INFO hook.py line 748 2389709] Test: [30/78] Loss 0.8454 +[2025-03-11 04:04:49,364 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.8328 +[2025-03-11 04:04:49,403 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2762 +[2025-03-11 04:04:49,468 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.6524 +[2025-03-11 04:04:49,507 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.3904 +[2025-03-11 04:04:49,555 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5689 +[2025-03-11 04:04:49,597 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4461 +[2025-03-11 04:04:49,644 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.0126 +[2025-03-11 04:04:49,677 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6832 +[2025-03-11 04:04:49,757 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9508 +[2025-03-11 04:04:49,807 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.1496 +[2025-03-11 04:04:49,859 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3757 +[2025-03-11 04:04:49,899 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4584 +[2025-03-11 04:04:49,941 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9625 +[2025-03-11 04:04:50,005 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0602 +[2025-03-11 04:04:50,062 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7883 +[2025-03-11 04:04:50,122 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0596 +[2025-03-11 04:04:50,160 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6388 +[2025-03-11 04:04:50,199 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0342 +[2025-03-11 04:04:50,234 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2492 +[2025-03-11 04:04:50,267 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4530 +[2025-03-11 04:04:50,298 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8049 +[2025-03-11 04:04:50,338 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5752 +[2025-03-11 04:04:50,365 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.6317 +[2025-03-11 04:04:50,408 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8984 +[2025-03-11 04:04:50,451 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3367 +[2025-03-11 04:04:50,492 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.5054 +[2025-03-11 04:04:50,530 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6611 +[2025-03-11 04:04:50,556 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.4359 +[2025-03-11 04:04:50,598 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8266 +[2025-03-11 04:04:50,636 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5267 +[2025-03-11 04:04:50,664 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9125 +[2025-03-11 04:04:50,700 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9825 +[2025-03-11 04:04:50,738 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0317 +[2025-03-11 04:04:50,796 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7123 +[2025-03-11 04:04:50,824 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0751 +[2025-03-11 04:04:50,868 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6590 +[2025-03-11 04:04:50,908 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2787 +[2025-03-11 04:04:50,944 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8497 +[2025-03-11 04:04:50,976 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2824 +[2025-03-11 04:04:51,039 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3047 +[2025-03-11 04:04:51,082 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.4993 +[2025-03-11 04:04:51,137 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5710 +[2025-03-11 04:04:51,190 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6103 +[2025-03-11 04:04:51,236 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1040 +[2025-03-11 04:04:51,288 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5660 +[2025-03-11 04:04:51,317 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2539 +[2025-03-11 04:04:51,376 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.9207 +[2025-03-11 04:04:51,403 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9251 +[2025-03-11 04:04:52,626 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:04:52,627 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:04:52,627 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] wall : 0.7539 0.9298 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] chair : 0.6817 0.7846 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] floor : 0.9573 0.9844 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] table : 0.6268 0.8168 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] door : 0.5464 0.6040 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] couch : 0.8044 0.9071 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] cabinet : 0.3054 0.4316 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] shelf : 0.4441 0.7217 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] desk : 0.5396 0.6727 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] office chair : 0.2659 0.5908 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] bed : 0.7858 0.8736 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] pillow : 0.5184 0.7350 +[2025-03-11 04:04:52,627 INFO hook.py line 689 2389709] sink : 0.6304 0.7401 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] picture : 0.3535 0.5350 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] window : 0.4822 0.5586 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] toilet : 0.9198 0.9532 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] bookshelf : 0.4477 0.5142 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] monitor : 0.8235 0.8718 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] curtain : 0.6258 0.6842 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] book : 0.4306 0.6586 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] armchair : 0.5885 0.7533 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] coffee table : 0.6562 0.7373 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] box : 0.3264 0.5601 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] refrigerator : 0.5946 0.6058 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] lamp : 0.6109 0.7927 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] kitchen cabinet: 0.6764 0.7632 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] towel : 0.4213 0.5143 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] clothes : 0.2039 0.3424 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] tv : 0.8058 0.9325 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] nightstand : 0.6969 0.8480 +[2025-03-11 04:04:52,628 INFO hook.py line 689 2389709] counter : 0.2556 0.4332 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] dresser : 0.3965 0.5838 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] stool : 0.4761 0.5992 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] plant : 0.7435 0.8555 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] ceiling : 0.9175 0.9456 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] bathtub : 0.8689 0.8941 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] end table : 0.2812 0.4613 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] dining table : 0.0384 0.0548 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] keyboard : 0.4042 0.6393 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] bag : 0.2347 0.4576 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] backpack : 0.6031 0.7004 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] toilet paper : 0.4388 0.4746 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] printer : 0.4759 0.7345 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] tv stand : 0.7387 0.9648 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] whiteboard : 0.4782 0.6746 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] blanket : 0.0264 0.0290 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] shower curtain : 0.5094 0.7070 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] trash can : 0.5641 0.8333 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] closet : 0.0973 0.1405 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] stairs : 0.4457 0.5875 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] microwave : 0.5320 0.7028 +[2025-03-11 04:04:52,629 INFO hook.py line 689 2389709] stove : 0.5311 0.6511 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] shoe : 0.4558 0.6083 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] computer tower : 0.4932 0.7852 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] bottle : 0.1004 0.1840 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] ottoman : 0.2774 0.2919 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] bench : 0.3447 0.4628 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] board : 0.1374 0.2662 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] washing machine: 0.8456 0.9190 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] mirror : 0.3620 0.4989 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] copier : 0.8433 0.9016 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] sofa chair : 0.1454 0.1873 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] file cabinet : 0.4371 0.5419 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] fan : 0.3507 0.6093 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] laptop : 0.4249 0.6697 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] shower : 0.3403 0.4115 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] paper : 0.0220 0.0255 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] person : 0.2440 0.6148 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] paper towel dispenser: 0.7086 0.7980 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] oven : 0.0651 0.0729 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 04:04:52,630 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] blackboard : 0.5836 0.6345 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] piano : 0.4451 0.7649 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] suitcase : 0.5138 0.5757 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] rail : 0.0322 0.0407 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] radiator : 0.5937 0.6956 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] recycling bin : 0.4853 0.6727 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] container : 0.0066 0.0092 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] wardrobe : 0.1122 0.1204 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] soap dispenser : 0.6477 0.8289 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] telephone : 0.3129 0.5038 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] bucket : 0.2404 0.2746 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] clock : 0.2054 0.2611 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] stand : 0.0003 0.0019 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] light : 0.0446 0.0668 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] pipe : 0.0300 0.0557 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] clothes dryer : 0.1924 0.1997 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] guitar : 0.5609 0.9145 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] seat : 0.0328 0.0424 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:04:52,631 INFO hook.py line 689 2389709] column : 0.0001 0.0002 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] ladder : 0.5056 0.6421 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] bathroom stall : 0.4517 0.7840 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] shower wall : 0.4472 0.5214 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] cup : 0.2332 0.3602 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] jacket : 0.1558 0.2180 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] storage bin : 0.0018 0.0018 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] coffee maker : 0.6121 0.9169 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] dishwasher : 0.2234 0.3071 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] paper towel roll: 0.2205 0.2407 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] mat : 0.1115 0.1126 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] windowsill : 0.1874 0.2264 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] bar : 0.1248 0.1834 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] toaster : 0.1166 0.1857 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] bulletin board : 0.0760 0.1014 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] ironing board : 0.0346 0.0429 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] fireplace : 0.6159 0.6799 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] soap dish : 0.3249 0.4558 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] kitchen counter: 0.4267 0.4816 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] doorframe : 0.3572 0.5542 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4532 0.5403 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] mini fridge : 0.2898 0.2971 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] fire extinguisher: 0.1563 0.1587 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] ball : 0.3763 0.6213 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] shower curtain rod: 0.4319 0.7788 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] water cooler : 0.7691 0.8082 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] paper cutter : 0.2147 0.2509 +[2025-03-11 04:04:52,632 INFO hook.py line 689 2389709] tray : 0.0108 0.0137 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] shower door : 0.2261 0.2756 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] pillar : 0.0522 0.0632 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] ledge : 0.0504 0.0667 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] toaster oven : 0.0262 0.0268 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] mouse : 0.0532 0.6228 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6881 0.8777 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] cart : 0.2151 0.2585 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] scale : 0.3832 0.9237 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] tissue box : 0.1105 0.1211 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] light switch : 0.0793 0.1810 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] power outlet : 0.1025 0.1227 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] decoration : 0.0978 0.1682 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] closet door : 0.2231 0.6756 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] vacuum cleaner : 0.8852 0.9176 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] plunger : 0.4171 0.9511 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] dish rack : 0.6774 0.8981 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] broom : 0.0391 0.0448 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] range hood : 0.7323 0.8456 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] dustpan : 0.0431 0.1518 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 04:04:52,633 INFO hook.py line 689 2389709] handicap bar : 0.0615 0.8150 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] shower floor : 0.0015 0.0017 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] mailbox : 0.0511 0.0511 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] bowl : 0.0569 0.0846 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] paper bag : 0.0924 0.1345 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] projector screen: 0.0020 0.0022 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] divider : 0.4879 0.5932 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] bathroom counter: 0.3369 0.4517 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] object : 0.0298 0.0482 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] bathroom vanity: 0.4916 0.7366 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] closet wall : 0.1114 0.1610 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] laundry hamper : 0.1278 0.2186 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] bathroom stall door: 0.5258 0.5449 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] ceiling light : 0.3816 0.4942 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] trash bin : 0.2301 0.3485 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] dumbbell : 0.6552 0.9592 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] stair rail : 0.1756 0.2298 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] tube : 0.0739 0.0857 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] bathroom cabinet: 0.3156 0.4796 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] closet rod : 0.4594 0.9030 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] shower head : 0.2742 0.3128 +[2025-03-11 04:04:52,634 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] folded chair : 0.0106 0.0280 +[2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] fire alarm : 0.1510 0.8810 +[2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:04:52,635 INFO hook.py line 689 2389709] mattress : 0.0052 0.0054 +[2025-03-11 04:04:52,635 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:04:52,635 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2868/0.3865/0.8015. +[2025-03-11 04:04:52,635 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:04:52,650 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:04:52,650 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:05:23,217 INFO hook.py line 566 2389709] Train: [52/100][50/300] Data 0.002 (0.003) Batch 0.455 (0.494) Remain 02:00:44 loss: 0.7546 Lr: 2.61154e-03 +[2025-03-11 04:05:47,746 INFO hook.py line 566 2389709] Train: [52/100][100/300] Data 0.002 (0.002) Batch 0.447 (0.492) Remain 01:59:50 loss: 0.8553 Lr: 2.59777e-03 +[2025-03-11 04:06:12,516 INFO hook.py line 566 2389709] Train: [52/100][150/300] Data 0.002 (0.002) Batch 0.502 (0.493) Remain 01:59:39 loss: 0.9492 Lr: 2.58400e-03 +[2025-03-11 04:06:37,625 INFO hook.py line 566 2389709] Train: [52/100][200/300] Data 0.003 (0.002) Batch 0.536 (0.496) Remain 01:59:47 loss: 0.8105 Lr: 2.57023e-03 +[2025-03-11 04:07:02,558 INFO hook.py line 566 2389709] Train: [52/100][250/300] Data 0.002 (0.002) Batch 0.593 (0.496) Remain 01:59:31 loss: 0.7326 Lr: 2.55646e-03 +[2025-03-11 04:07:26,567 INFO hook.py line 566 2389709] Train: [52/100][300/300] Data 0.002 (0.002) Batch 0.446 (0.494) Remain 01:58:27 loss: 0.5744 Lr: 2.54268e-03 +[2025-03-11 04:07:26,568 INFO misc.py line 135 2389709] Train result: loss: 0.6959 +[2025-03-11 04:07:26,662 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:08:21,427 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4113 +[2025-03-11 04:08:21,496 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3281 +[2025-03-11 04:08:21,543 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.8029 +[2025-03-11 04:08:21,592 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4429 +[2025-03-11 04:08:21,640 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9005 +[2025-03-11 04:08:21,700 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2124 +[2025-03-11 04:08:21,755 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8834 +[2025-03-11 04:08:21,787 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4486 +[2025-03-11 04:08:21,836 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1752 +[2025-03-11 04:08:21,878 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4299 +[2025-03-11 04:08:21,925 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2086 +[2025-03-11 04:08:21,961 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9850 +[2025-03-11 04:08:22,010 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.9008 +[2025-03-11 04:08:22,055 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1553 +[2025-03-11 04:08:22,101 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9829 +[2025-03-11 04:08:22,154 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3371 +[2025-03-11 04:08:22,192 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3879 +[2025-03-11 04:08:22,235 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7563 +[2025-03-11 04:08:22,287 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5414 +[2025-03-11 04:08:22,324 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6863 +[2025-03-11 04:08:22,360 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7265 +[2025-03-11 04:08:22,404 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8215 +[2025-03-11 04:08:22,435 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3377 +[2025-03-11 04:08:22,485 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1209 +[2025-03-11 04:08:22,529 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.1877 +[2025-03-11 04:08:22,579 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5801 +[2025-03-11 04:08:22,634 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9383 +[2025-03-11 04:08:22,671 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6319 +[2025-03-11 04:08:22,702 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0884 +[2025-03-11 04:08:22,765 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8190 +[2025-03-11 04:08:22,824 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5385 +[2025-03-11 04:08:22,862 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1931 +[2025-03-11 04:08:22,924 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9040 +[2025-03-11 04:08:22,968 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5284 +[2025-03-11 04:08:23,008 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3031 +[2025-03-11 04:08:23,054 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4599 +[2025-03-11 04:08:23,095 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0130 +[2025-03-11 04:08:23,125 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8960 +[2025-03-11 04:08:23,192 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3311 +[2025-03-11 04:08:23,242 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2584 +[2025-03-11 04:08:23,295 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2953 +[2025-03-11 04:08:23,332 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4603 +[2025-03-11 04:08:23,374 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3620 +[2025-03-11 04:08:23,431 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0396 +[2025-03-11 04:08:23,476 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.8481 +[2025-03-11 04:08:23,525 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0750 +[2025-03-11 04:08:23,566 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.4700 +[2025-03-11 04:08:23,600 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1709 +[2025-03-11 04:08:23,632 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.0953 +[2025-03-11 04:08:23,666 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8217 +[2025-03-11 04:08:23,698 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1619 +[2025-03-11 04:08:23,732 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4790 +[2025-03-11 04:08:23,761 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3708 +[2025-03-11 04:08:23,800 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0881 +[2025-03-11 04:08:23,851 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.0545 +[2025-03-11 04:08:23,896 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8101 +[2025-03-11 04:08:23,931 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2150 +[2025-03-11 04:08:23,960 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1826 +[2025-03-11 04:08:23,998 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.6551 +[2025-03-11 04:08:24,034 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.8972 +[2025-03-11 04:08:24,061 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9311 +[2025-03-11 04:08:24,097 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.4640 +[2025-03-11 04:08:24,134 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4938 +[2025-03-11 04:08:24,195 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6153 +[2025-03-11 04:08:24,223 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1208 +[2025-03-11 04:08:24,268 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2319 +[2025-03-11 04:08:24,307 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0905 +[2025-03-11 04:08:24,344 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1025 +[2025-03-11 04:08:24,375 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3191 +[2025-03-11 04:08:24,438 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9681 +[2025-03-11 04:08:24,486 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5782 +[2025-03-11 04:08:24,541 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6405 +[2025-03-11 04:08:24,594 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.8708 +[2025-03-11 04:08:24,639 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3006 +[2025-03-11 04:08:24,692 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6280 +[2025-03-11 04:08:24,721 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8152 +[2025-03-11 04:08:24,780 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5872 +[2025-03-11 04:08:24,806 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1855 +[2025-03-11 04:08:26,183 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:08:26,184 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:08:26,184 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] wall : 0.7810 0.8845 +[2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] chair : 0.6543 0.7759 +[2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] floor : 0.9558 0.9825 +[2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] table : 0.6253 0.7453 +[2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] door : 0.6193 0.7530 +[2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] couch : 0.7847 0.8953 +[2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] cabinet : 0.3227 0.5807 +[2025-03-11 04:08:26,184 INFO hook.py line 689 2389709] shelf : 0.2696 0.3387 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] desk : 0.5353 0.8452 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] office chair : 0.2984 0.6667 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] bed : 0.7690 0.8612 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] pillow : 0.5584 0.7785 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] sink : 0.6344 0.7347 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] picture : 0.3692 0.5199 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] window : 0.5501 0.7442 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] toilet : 0.9210 0.9732 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] bookshelf : 0.4768 0.7643 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] monitor : 0.8106 0.8549 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] curtain : 0.6658 0.8589 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] book : 0.4433 0.6563 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] armchair : 0.5092 0.6895 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] coffee table : 0.6344 0.7060 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] box : 0.2823 0.3258 +[2025-03-11 04:08:26,185 INFO hook.py line 689 2389709] refrigerator : 0.6624 0.6901 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] lamp : 0.6702 0.8261 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] kitchen cabinet: 0.6449 0.7194 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] towel : 0.4836 0.5827 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] clothes : 0.1868 0.3521 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] tv : 0.7288 0.9266 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] nightstand : 0.6336 0.8388 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] counter : 0.2228 0.4380 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] dresser : 0.3020 0.4074 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] stool : 0.4509 0.6965 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] plant : 0.7387 0.8688 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] ceiling : 0.9262 0.9780 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] bathtub : 0.8818 0.9087 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] end table : 0.1503 0.2274 +[2025-03-11 04:08:26,186 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] keyboard : 0.3889 0.4814 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] bag : 0.2583 0.3726 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] backpack : 0.5584 0.7202 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] toilet paper : 0.4353 0.5990 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] printer : 0.3855 0.5441 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] tv stand : 0.4517 0.5552 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] whiteboard : 0.4278 0.7735 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] blanket : 0.0480 0.0619 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] shower curtain : 0.5084 0.5707 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] trash can : 0.6243 0.7816 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] closet : 0.1452 0.2237 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] stairs : 0.6331 0.7413 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] microwave : 0.4611 0.4910 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] stove : 0.6620 0.8935 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] shoe : 0.4269 0.7779 +[2025-03-11 04:08:26,187 INFO hook.py line 689 2389709] computer tower : 0.5470 0.8031 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] bottle : 0.1640 0.3959 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] bin : 0.0005 0.0005 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] ottoman : 0.3318 0.3758 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] bench : 0.1383 0.1451 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] board : 0.1651 0.3964 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] washing machine: 0.8137 0.9310 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] mirror : 0.3001 0.3541 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] copier : 0.7739 0.8727 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] sofa chair : 0.0787 0.1040 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] file cabinet : 0.3927 0.5912 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] fan : 0.3674 0.4947 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] laptop : 0.4705 0.5630 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] shower : 0.3283 0.5384 +[2025-03-11 04:08:26,188 INFO hook.py line 689 2389709] paper : 0.0725 0.1064 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] person : 0.1936 0.6575 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] paper towel dispenser: 0.5473 0.7185 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] oven : 0.1053 0.1276 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] blackboard : 0.4720 0.7504 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] piano : 0.6238 0.6846 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] suitcase : 0.6247 0.7215 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] rail : 0.0205 0.0213 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] radiator : 0.5529 0.7350 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] recycling bin : 0.4731 0.6499 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] wardrobe : 0.1277 0.1549 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] soap dispenser : 0.7789 0.8465 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] telephone : 0.3285 0.5743 +[2025-03-11 04:08:26,189 INFO hook.py line 689 2389709] bucket : 0.3901 0.8457 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] clock : 0.1890 0.2271 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] light : 0.0470 0.0566 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] laundry basket : 0.0762 0.0871 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] pipe : 0.1635 0.2548 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] clothes dryer : 0.4720 0.4782 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] guitar : 0.4717 0.8502 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 04:08:26,190 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] ladder : 0.3177 0.6309 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] bathroom stall : 0.4418 0.5117 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] shower wall : 0.4907 0.6263 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] cup : 0.1404 0.2515 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] jacket : 0.1629 0.2213 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] storage bin : 0.0329 0.0995 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] coffee maker : 0.8905 0.9843 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] dishwasher : 0.1955 0.2215 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] paper towel roll: 0.1741 0.1789 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] mat : 0.1354 0.1457 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] windowsill : 0.1787 0.2015 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] bar : 0.1347 0.1857 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] toaster : 0.3196 0.4522 +[2025-03-11 04:08:26,191 INFO hook.py line 689 2389709] bulletin board : 0.3077 0.3588 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] ironing board : 0.0438 0.0500 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] fireplace : 0.6663 0.7094 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] soap dish : 0.3369 0.4846 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] kitchen counter: 0.4642 0.5450 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] doorframe : 0.3970 0.5745 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3434 0.4102 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] mini fridge : 0.3100 0.3970 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] fire extinguisher: 0.0022 0.0045 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] ball : 0.3057 0.9636 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] shower curtain rod: 0.3046 0.7711 +[2025-03-11 04:08:26,192 INFO hook.py line 689 2389709] water cooler : 0.5346 0.7927 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] paper cutter : 0.2146 0.2535 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] tray : 0.0024 0.0090 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] shower door : 0.1968 0.2063 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] ledge : 0.0220 0.0231 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] mouse : 0.0831 0.2996 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5262 0.5933 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] cart : 0.0197 0.0202 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] scale : 0.3889 0.9521 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] tissue box : 0.1592 0.2469 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] light switch : 0.0541 0.0926 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] power outlet : 0.1694 0.2490 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] decoration : 0.1801 0.6354 +[2025-03-11 04:08:26,193 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] projector : 0.3322 0.9949 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] closet door : 0.1558 0.1743 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] vacuum cleaner : 0.7027 0.9888 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] plunger : 0.3288 0.9417 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] headphones : 0.0014 0.0017 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] dish rack : 0.6504 0.8981 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] broom : 0.0301 0.0433 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] range hood : 0.7484 0.9310 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] dustpan : 0.0848 0.1868 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] hair dryer : 0.0028 0.0060 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] water bottle : 0.0342 0.1865 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] handicap bar : 0.0358 0.5917 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:08:26,194 INFO hook.py line 689 2389709] shower floor : 0.7329 0.9751 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] mailbox : 0.3793 0.4961 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] bowl : 0.0088 0.0101 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] paper bag : 0.0126 0.0157 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] projector screen: 0.0168 0.0196 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] divider : 0.3992 0.4404 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] bathroom counter: 0.1320 0.1369 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] object : 0.0290 0.0494 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] bathroom vanity: 0.5013 0.8928 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] closet wall : 0.0740 0.0931 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] laundry hamper : 0.1536 0.2104 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] bathroom stall door: 0.5642 0.6720 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] ceiling light : 0.3849 0.5103 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] trash bin : 0.1377 0.1825 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] dumbbell : 0.1851 0.9689 +[2025-03-11 04:08:26,195 INFO hook.py line 689 2389709] stair rail : 0.1056 0.1169 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] tube : 0.0923 0.1857 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] bathroom cabinet: 0.0317 0.0331 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] closet rod : 0.2150 0.7210 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] coffee kettle : 0.0049 0.0061 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] shower head : 0.2575 0.3290 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] case of water bottles: 0.0342 0.0345 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] coat rack : 0.0227 0.2584 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:08:26,196 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:08:26,197 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 04:08:26,197 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:08:26,197 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2820/0.3938/0.8023. +[2025-03-11 04:08:26,198 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:08:26,214 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:08:26,214 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:08:57,032 INFO hook.py line 566 2389709] Train: [53/100][50/300] Data 0.003 (0.002) Batch 0.488 (0.499) Remain 01:59:19 loss: 0.6835 Lr: 2.52891e-03 +[2025-03-11 04:09:21,672 INFO hook.py line 566 2389709] Train: [53/100][100/300] Data 0.002 (0.002) Batch 0.454 (0.496) Remain 01:58:09 loss: 0.7373 Lr: 2.51513e-03 +[2025-03-11 04:09:46,190 INFO hook.py line 566 2389709] Train: [53/100][150/300] Data 0.002 (0.002) Batch 0.489 (0.494) Remain 01:57:18 loss: 0.5268 Lr: 2.50135e-03 +[2025-03-11 04:10:10,882 INFO hook.py line 566 2389709] Train: [53/100][200/300] Data 0.002 (0.002) Batch 0.468 (0.494) Remain 01:56:53 loss: 0.4609 Lr: 2.48757e-03 +[2025-03-11 04:10:35,472 INFO hook.py line 566 2389709] Train: [53/100][250/300] Data 0.002 (0.002) Batch 0.467 (0.493) Remain 01:56:22 loss: 0.7542 Lr: 2.47380e-03 +[2025-03-11 04:10:59,837 INFO hook.py line 566 2389709] Train: [53/100][300/300] Data 0.001 (0.002) Batch 0.394 (0.492) Remain 01:55:43 loss: 0.7551 Lr: 2.46002e-03 +[2025-03-11 04:10:59,838 INFO misc.py line 135 2389709] Train result: loss: 0.7033 +[2025-03-11 04:10:59,934 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:11:56,206 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4500 +[2025-03-11 04:11:56,264 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1204 +[2025-03-11 04:11:56,303 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6651 +[2025-03-11 04:11:56,355 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5109 +[2025-03-11 04:11:56,399 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0091 +[2025-03-11 04:11:56,455 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8560 +[2025-03-11 04:11:56,510 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7915 +[2025-03-11 04:11:56,539 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3313 +[2025-03-11 04:11:56,589 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4352 +[2025-03-11 04:11:56,625 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1452 +[2025-03-11 04:11:56,672 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2362 +[2025-03-11 04:11:56,707 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.7646 +[2025-03-11 04:11:56,756 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.8886 +[2025-03-11 04:11:56,795 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7620 +[2025-03-11 04:11:56,832 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9077 +[2025-03-11 04:11:56,883 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1548 +[2025-03-11 04:11:56,921 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1711 +[2025-03-11 04:11:56,966 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9513 +[2025-03-11 04:11:57,013 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3510 +[2025-03-11 04:11:57,052 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6812 +[2025-03-11 04:11:57,087 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7108 +[2025-03-11 04:11:57,128 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6357 +[2025-03-11 04:11:57,165 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3942 +[2025-03-11 04:11:57,221 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9035 +[2025-03-11 04:11:57,264 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6668 +[2025-03-11 04:11:57,308 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.9208 +[2025-03-11 04:11:57,365 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.5647 +[2025-03-11 04:11:57,408 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5311 +[2025-03-11 04:11:57,436 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0018 +[2025-03-11 04:11:57,498 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1260 +[2025-03-11 04:11:57,559 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5802 +[2025-03-11 04:11:57,594 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2668 +[2025-03-11 04:11:57,652 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.4453 +[2025-03-11 04:11:57,701 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.1070 +[2025-03-11 04:11:57,740 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.7785 +[2025-03-11 04:11:57,782 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2987 +[2025-03-11 04:11:57,823 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5491 +[2025-03-11 04:11:57,853 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7391 +[2025-03-11 04:11:57,919 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0460 +[2025-03-11 04:11:57,968 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4212 +[2025-03-11 04:11:58,013 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1513 +[2025-03-11 04:11:58,046 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4344 +[2025-03-11 04:11:58,086 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1559 +[2025-03-11 04:11:58,144 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9384 +[2025-03-11 04:11:58,178 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6681 +[2025-03-11 04:11:58,229 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9879 +[2025-03-11 04:11:58,270 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8342 +[2025-03-11 04:11:58,304 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9465 +[2025-03-11 04:11:58,336 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3180 +[2025-03-11 04:11:58,369 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9191 +[2025-03-11 04:11:58,401 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2593 +[2025-03-11 04:11:58,435 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4942 +[2025-03-11 04:11:58,462 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.9848 +[2025-03-11 04:11:58,501 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0862 +[2025-03-11 04:11:58,540 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3593 +[2025-03-11 04:11:58,585 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3822 +[2025-03-11 04:11:58,619 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8603 +[2025-03-11 04:11:58,648 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9669 +[2025-03-11 04:11:58,686 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8888 +[2025-03-11 04:11:58,722 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7401 +[2025-03-11 04:11:58,749 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9601 +[2025-03-11 04:11:58,784 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0757 +[2025-03-11 04:11:58,821 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2579 +[2025-03-11 04:11:58,882 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8095 +[2025-03-11 04:11:58,910 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4252 +[2025-03-11 04:11:58,954 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7104 +[2025-03-11 04:11:58,993 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0011 +[2025-03-11 04:11:59,030 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1744 +[2025-03-11 04:11:59,062 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3386 +[2025-03-11 04:11:59,124 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7507 +[2025-03-11 04:11:59,172 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6180 +[2025-03-11 04:11:59,226 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5825 +[2025-03-11 04:11:59,280 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5692 +[2025-03-11 04:11:59,325 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1380 +[2025-03-11 04:11:59,377 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6118 +[2025-03-11 04:11:59,405 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6943 +[2025-03-11 04:11:59,464 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7483 +[2025-03-11 04:11:59,493 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8066 +[2025-03-11 04:12:00,755 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:12:00,756 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:12:00,756 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:12:00,756 INFO hook.py line 689 2389709] wall : 0.7862 0.9147 +[2025-03-11 04:12:00,756 INFO hook.py line 689 2389709] chair : 0.7089 0.8961 +[2025-03-11 04:12:00,756 INFO hook.py line 689 2389709] floor : 0.9578 0.9746 +[2025-03-11 04:12:00,756 INFO hook.py line 689 2389709] table : 0.6068 0.7174 +[2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] door : 0.6380 0.8043 +[2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] couch : 0.7854 0.9038 +[2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] cabinet : 0.3315 0.5716 +[2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] shelf : 0.3844 0.5042 +[2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] desk : 0.5474 0.7590 +[2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] office chair : 0.2122 0.2974 +[2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] bed : 0.7465 0.7924 +[2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] pillow : 0.5212 0.8134 +[2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] sink : 0.6318 0.7912 +[2025-03-11 04:12:00,757 INFO hook.py line 689 2389709] picture : 0.3619 0.5056 +[2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] window : 0.5793 0.6988 +[2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] toilet : 0.9055 0.9487 +[2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] bookshelf : 0.4690 0.6162 +[2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] monitor : 0.8367 0.9416 +[2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] curtain : 0.6727 0.8518 +[2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] book : 0.4222 0.7902 +[2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] armchair : 0.3381 0.3942 +[2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] coffee table : 0.7382 0.8376 +[2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] box : 0.2955 0.4780 +[2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] refrigerator : 0.5938 0.8027 +[2025-03-11 04:12:00,758 INFO hook.py line 689 2389709] lamp : 0.6655 0.7951 +[2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] kitchen cabinet: 0.5800 0.6825 +[2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] towel : 0.4527 0.7274 +[2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] clothes : 0.1758 0.4140 +[2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] tv : 0.8398 0.8973 +[2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] nightstand : 0.6799 0.7741 +[2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] counter : 0.2139 0.3218 +[2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] dresser : 0.3864 0.5341 +[2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] stool : 0.5023 0.5916 +[2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] plant : 0.6743 0.8938 +[2025-03-11 04:12:00,759 INFO hook.py line 689 2389709] ceiling : 0.9221 0.9524 +[2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] bathtub : 0.8703 0.9107 +[2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] end table : 0.1659 0.3170 +[2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] dining table : 0.0946 0.1703 +[2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] keyboard : 0.3987 0.6254 +[2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] bag : 0.1083 0.1935 +[2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] backpack : 0.5733 0.6708 +[2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] toilet paper : 0.3981 0.4465 +[2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] printer : 0.4080 0.6217 +[2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] tv stand : 0.4645 0.6379 +[2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] whiteboard : 0.4981 0.6797 +[2025-03-11 04:12:00,760 INFO hook.py line 689 2389709] blanket : 0.0167 0.0327 +[2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] shower curtain : 0.5943 0.7255 +[2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] trash can : 0.5841 0.8339 +[2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] closet : 0.0925 0.1152 +[2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] stairs : 0.4343 0.5178 +[2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] microwave : 0.4807 0.7840 +[2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] stove : 0.5457 0.6810 +[2025-03-11 04:12:00,761 INFO hook.py line 689 2389709] shoe : 0.3574 0.4121 +[2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] computer tower : 0.6362 0.7417 +[2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] bottle : 0.1118 0.2798 +[2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] ottoman : 0.2424 0.2785 +[2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] bench : 0.3591 0.4148 +[2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] board : 0.1697 0.2522 +[2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] washing machine: 0.8394 0.8683 +[2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] mirror : 0.3600 0.4564 +[2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] copier : 0.8103 0.8413 +[2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:12:00,762 INFO hook.py line 689 2389709] sofa chair : 0.0818 0.1596 +[2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] file cabinet : 0.4851 0.6675 +[2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] fan : 0.3022 0.3642 +[2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] laptop : 0.4263 0.7030 +[2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] shower : 0.3016 0.3646 +[2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] paper : 0.0167 0.0209 +[2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] person : 0.3708 0.4575 +[2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] paper towel dispenser: 0.5931 0.7039 +[2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] oven : 0.0285 0.0676 +[2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] blinds : 0.0005 0.0006 +[2025-03-11 04:12:00,763 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] blackboard : 0.5792 0.6930 +[2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] piano : 0.7759 0.7919 +[2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] suitcase : 0.5291 0.5390 +[2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] rail : 0.0229 0.0250 +[2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] radiator : 0.5104 0.7148 +[2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] recycling bin : 0.4884 0.6047 +[2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] wardrobe : 0.0817 0.0896 +[2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] soap dispenser : 0.7126 0.8605 +[2025-03-11 04:12:00,764 INFO hook.py line 689 2389709] telephone : 0.1613 0.5102 +[2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] bucket : 0.1038 0.1078 +[2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] clock : 0.2267 0.2892 +[2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] light : 0.0289 0.0390 +[2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] pipe : 0.0530 0.0646 +[2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] clothes dryer : 0.4830 0.5271 +[2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] guitar : 0.3140 0.9150 +[2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] toilet paper holder: 0.0288 0.0368 +[2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] seat : 0.0185 0.0208 +[2025-03-11 04:12:00,765 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] column : 0.0364 0.0393 +[2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] ladder : 0.3499 0.3986 +[2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] bathroom stall : 0.4300 0.6136 +[2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] shower wall : 0.5162 0.6911 +[2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] cup : 0.1616 0.4763 +[2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] jacket : 0.1130 0.1322 +[2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] storage bin : 0.0102 0.0105 +[2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] coffee maker : 0.4349 0.9952 +[2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] dishwasher : 0.2261 0.5484 +[2025-03-11 04:12:00,766 INFO hook.py line 689 2389709] paper towel roll: 0.2750 0.3714 +[2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] mat : 0.1890 0.2128 +[2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] windowsill : 0.0705 0.0718 +[2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] bar : 0.1452 0.3633 +[2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] toaster : 0.0330 0.0452 +[2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] bulletin board : 0.0988 0.1275 +[2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] ironing board : 0.1056 0.1178 +[2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] fireplace : 0.5722 0.5940 +[2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] soap dish : 0.2443 0.5712 +[2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] kitchen counter: 0.4619 0.5671 +[2025-03-11 04:12:00,767 INFO hook.py line 689 2389709] doorframe : 0.3789 0.6873 +[2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4513 0.5982 +[2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] mini fridge : 0.4546 0.5615 +[2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] fire extinguisher: 0.1081 0.2282 +[2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] ball : 0.3690 0.9419 +[2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] shower curtain rod: 0.3496 0.7131 +[2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] water cooler : 0.5200 0.9516 +[2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] paper cutter : 0.2369 0.4972 +[2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] tray : 0.0459 0.0614 +[2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] shower door : 0.1205 0.1226 +[2025-03-11 04:12:00,768 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] ledge : 0.0350 0.0455 +[2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] toaster oven : 0.0032 0.0032 +[2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] mouse : 0.0678 0.5088 +[2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5533 0.9025 +[2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] cart : 0.0798 0.0838 +[2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] scale : 0.2342 0.9667 +[2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] tissue box : 0.2089 0.2419 +[2025-03-11 04:12:00,769 INFO hook.py line 689 2389709] light switch : 0.0397 0.3415 +[2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] power outlet : 0.1636 0.4870 +[2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] decoration : 0.1957 0.4061 +[2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] sign : 0.0016 0.0018 +[2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] projector : 0.0875 1.0000 +[2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] closet door : 0.0169 0.0179 +[2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] vacuum cleaner : 0.8287 0.9915 +[2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] plunger : 0.4789 0.9714 +[2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:12:00,770 INFO hook.py line 689 2389709] headphones : 0.0214 0.0586 +[2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] dish rack : 0.6697 0.9241 +[2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] broom : 0.0405 0.1834 +[2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] range hood : 0.7638 0.8920 +[2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] dustpan : 0.0298 0.0507 +[2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] water bottle : 0.0056 0.0337 +[2025-03-11 04:12:00,771 INFO hook.py line 689 2389709] handicap bar : 0.0260 0.2343 +[2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] shower floor : 0.3830 0.9834 +[2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] mailbox : 0.4783 0.4857 +[2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] bowl : 0.1544 0.2918 +[2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] paper bag : 0.0408 0.1525 +[2025-03-11 04:12:00,772 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] divider : 0.4783 0.5426 +[2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] laundry detergent: 0.0200 0.0208 +[2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] bathroom counter: 0.3490 0.3958 +[2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] object : 0.0372 0.0656 +[2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] bathroom vanity: 0.4846 0.7500 +[2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] closet wall : 0.1040 0.2371 +[2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] laundry hamper : 0.1060 0.1312 +[2025-03-11 04:12:00,773 INFO hook.py line 689 2389709] bathroom stall door: 0.5591 0.7045 +[2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] ceiling light : 0.2095 0.2386 +[2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] trash bin : 0.2901 0.3618 +[2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] dumbbell : 0.4937 0.9842 +[2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] stair rail : 0.1165 0.1330 +[2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] tube : 0.0881 0.2063 +[2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] bathroom cabinet: 0.2052 0.2459 +[2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] closet rod : 0.3701 0.7704 +[2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] coffee kettle : 0.1152 0.3333 +[2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:12:00,774 INFO hook.py line 689 2389709] shower head : 0.2759 0.4094 +[2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] fire alarm : 0.1090 0.5227 +[2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:12:00,775 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:12:00,776 INFO hook.py line 689 2389709] mattress : 0.0012 0.0012 +[2025-03-11 04:12:00,776 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:12:00,776 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2802/0.3983/0.8088. +[2025-03-11 04:12:00,777 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:12:00,793 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:12:00,794 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:12:31,423 INFO hook.py line 566 2389709] Train: [54/100][50/300] Data 0.001 (0.002) Batch 0.476 (0.501) Remain 01:57:14 loss: 0.6916 Lr: 2.44625e-03 +[2025-03-11 04:12:56,204 INFO hook.py line 566 2389709] Train: [54/100][100/300] Data 0.003 (0.002) Batch 0.511 (0.498) Remain 01:56:12 loss: 0.7483 Lr: 2.43247e-03 +[2025-03-11 04:13:20,868 INFO hook.py line 566 2389709] Train: [54/100][150/300] Data 0.002 (0.002) Batch 0.492 (0.496) Remain 01:55:25 loss: 1.0374 Lr: 2.41870e-03 +[2025-03-11 04:13:45,742 INFO hook.py line 566 2389709] Train: [54/100][200/300] Data 0.002 (0.002) Batch 0.466 (0.497) Remain 01:55:04 loss: 0.7544 Lr: 2.40521e-03 +[2025-03-11 04:14:10,704 INFO hook.py line 566 2389709] Train: [54/100][250/300] Data 0.002 (0.002) Batch 0.481 (0.497) Remain 01:54:46 loss: 0.6323 Lr: 2.39144e-03 +[2025-03-11 04:14:34,958 INFO hook.py line 566 2389709] Train: [54/100][300/300] Data 0.001 (0.002) Batch 0.419 (0.495) Remain 01:53:53 loss: 0.6464 Lr: 2.37768e-03 +[2025-03-11 04:14:34,959 INFO misc.py line 135 2389709] Train result: loss: 0.6803 +[2025-03-11 04:14:35,056 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:15:23,017 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6193 +[2025-03-11 04:15:23,089 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6737 +[2025-03-11 04:15:23,130 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4866 +[2025-03-11 04:15:23,182 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5910 +[2025-03-11 04:15:23,222 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9863 +[2025-03-11 04:15:23,280 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8817 +[2025-03-11 04:15:23,333 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.5938 +[2025-03-11 04:15:23,364 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5834 +[2025-03-11 04:15:23,417 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3185 +[2025-03-11 04:15:23,457 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3499 +[2025-03-11 04:15:23,505 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2806 +[2025-03-11 04:15:23,538 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.7646 +[2025-03-11 04:15:23,589 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.8137 +[2025-03-11 04:15:23,636 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.0547 +[2025-03-11 04:15:23,675 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2346 +[2025-03-11 04:15:23,730 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1379 +[2025-03-11 04:15:23,775 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5460 +[2025-03-11 04:15:23,818 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9784 +[2025-03-11 04:15:23,868 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1270 +[2025-03-11 04:15:23,918 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6366 +[2025-03-11 04:15:23,957 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7721 +[2025-03-11 04:15:24,014 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8787 +[2025-03-11 04:15:24,058 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3443 +[2025-03-11 04:15:24,114 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0394 +[2025-03-11 04:15:24,165 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8233 +[2025-03-11 04:15:24,215 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3740 +[2025-03-11 04:15:24,273 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8354 +[2025-03-11 04:15:24,316 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9857 +[2025-03-11 04:15:24,353 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1628 +[2025-03-11 04:15:24,410 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2021 +[2025-03-11 04:15:24,474 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4485 +[2025-03-11 04:15:24,513 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2962 +[2025-03-11 04:15:24,574 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8188 +[2025-03-11 04:15:24,631 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.0376 +[2025-03-11 04:15:24,677 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4405 +[2025-03-11 04:15:24,720 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4323 +[2025-03-11 04:15:24,760 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4366 +[2025-03-11 04:15:24,791 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8457 +[2025-03-11 04:15:24,859 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0351 +[2025-03-11 04:15:24,907 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4723 +[2025-03-11 04:15:24,954 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4005 +[2025-03-11 04:15:24,988 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4402 +[2025-03-11 04:15:25,027 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2432 +[2025-03-11 04:15:25,087 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8579 +[2025-03-11 04:15:25,121 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5025 +[2025-03-11 04:15:25,172 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0942 +[2025-03-11 04:15:25,210 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9635 +[2025-03-11 04:15:25,243 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9847 +[2025-03-11 04:15:25,275 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.1358 +[2025-03-11 04:15:25,309 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5130 +[2025-03-11 04:15:25,339 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2759 +[2025-03-11 04:15:25,374 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5621 +[2025-03-11 04:15:25,402 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3495 +[2025-03-11 04:15:25,437 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.5587 +[2025-03-11 04:15:25,475 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4853 +[2025-03-11 04:15:25,515 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1746 +[2025-03-11 04:15:25,550 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4267 +[2025-03-11 04:15:25,575 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7765 +[2025-03-11 04:15:25,614 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8798 +[2025-03-11 04:15:25,650 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7067 +[2025-03-11 04:15:25,674 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9329 +[2025-03-11 04:15:25,709 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9552 +[2025-03-11 04:15:25,746 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.4800 +[2025-03-11 04:15:25,804 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.5325 +[2025-03-11 04:15:25,832 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3949 +[2025-03-11 04:15:25,876 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9722 +[2025-03-11 04:15:25,916 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8546 +[2025-03-11 04:15:25,952 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0284 +[2025-03-11 04:15:25,983 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4586 +[2025-03-11 04:15:26,045 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.6265 +[2025-03-11 04:15:26,088 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.2515 +[2025-03-11 04:15:26,143 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7145 +[2025-03-11 04:15:26,197 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6897 +[2025-03-11 04:15:26,241 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6757 +[2025-03-11 04:15:26,293 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5586 +[2025-03-11 04:15:26,321 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1943 +[2025-03-11 04:15:26,380 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7321 +[2025-03-11 04:15:26,407 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1014 +[2025-03-11 04:15:27,730 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:15:27,730 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:15:27,730 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:15:27,730 INFO hook.py line 689 2389709] wall : 0.7861 0.9118 +[2025-03-11 04:15:27,730 INFO hook.py line 689 2389709] chair : 0.6314 0.7041 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] floor : 0.9525 0.9757 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] table : 0.5783 0.6788 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] door : 0.6302 0.7938 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] couch : 0.8064 0.9176 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] cabinet : 0.3398 0.4504 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] shelf : 0.3511 0.4357 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] desk : 0.5583 0.8372 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] office chair : 0.2236 0.5850 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] bed : 0.7692 0.8637 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] pillow : 0.5574 0.6882 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] sink : 0.6609 0.7750 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] picture : 0.3738 0.5053 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] window : 0.5622 0.6947 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] toilet : 0.9427 0.9582 +[2025-03-11 04:15:27,731 INFO hook.py line 689 2389709] bookshelf : 0.4994 0.8611 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] monitor : 0.8483 0.9037 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] curtain : 0.6936 0.8844 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] book : 0.2962 0.3515 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] armchair : 0.5131 0.7698 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] coffee table : 0.5504 0.8027 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] box : 0.3097 0.4020 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] refrigerator : 0.6229 0.7323 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] lamp : 0.6713 0.8117 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] kitchen cabinet: 0.6354 0.7175 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] towel : 0.4708 0.6569 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] clothes : 0.2116 0.3228 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] tv : 0.8685 0.8973 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] nightstand : 0.6184 0.8757 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] counter : 0.2601 0.6059 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] dresser : 0.4121 0.5475 +[2025-03-11 04:15:27,732 INFO hook.py line 689 2389709] stool : 0.5080 0.7092 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] plant : 0.7382 0.7875 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] ceiling : 0.9224 0.9726 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] bathtub : 0.8492 0.9283 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] end table : 0.1810 0.2812 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] dining table : 0.0457 0.1855 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] keyboard : 0.4109 0.5485 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] bag : 0.1993 0.3062 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] backpack : 0.6147 0.7026 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] toilet paper : 0.4478 0.6165 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] printer : 0.5097 0.6650 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] tv stand : 0.6677 0.9135 +[2025-03-11 04:15:27,733 INFO hook.py line 689 2389709] whiteboard : 0.4973 0.7847 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] blanket : 0.0831 0.1219 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] shower curtain : 0.6529 0.7935 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] trash can : 0.5828 0.8644 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] closet : 0.1312 0.1557 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] stairs : 0.3548 0.7361 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] microwave : 0.5778 0.8115 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] stove : 0.5310 0.7312 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] shoe : 0.5007 0.7800 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] computer tower : 0.5319 0.8299 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] bottle : 0.1197 0.2579 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] ottoman : 0.2612 0.2888 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] bench : 0.4462 0.5212 +[2025-03-11 04:15:27,734 INFO hook.py line 689 2389709] board : 0.2017 0.3209 +[2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] washing machine: 0.8235 0.9430 +[2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] mirror : 0.3927 0.5049 +[2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] copier : 0.8011 0.9063 +[2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] sofa chair : 0.1137 0.1569 +[2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] file cabinet : 0.5059 0.6515 +[2025-03-11 04:15:27,735 INFO hook.py line 689 2389709] fan : 0.3187 0.4135 +[2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] laptop : 0.4802 0.5966 +[2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] shower : 0.2513 0.2866 +[2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] paper : 0.0207 0.0231 +[2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] person : 0.2264 0.4169 +[2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] paper towel dispenser: 0.5326 0.8500 +[2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] oven : 0.0137 0.0169 +[2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] blinds : 0.0058 0.0070 +[2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:15:27,736 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] blackboard : 0.6866 0.7911 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] piano : 0.5398 0.8391 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] suitcase : 0.5567 0.7205 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] rail : 0.0338 0.0404 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] radiator : 0.5542 0.6822 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] recycling bin : 0.5166 0.6259 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] container : 0.0400 0.0704 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] wardrobe : 0.2172 0.2930 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] soap dispenser : 0.7160 0.8999 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] telephone : 0.3101 0.4177 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] bucket : 0.2616 0.3609 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] clock : 0.2685 0.3633 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:15:27,737 INFO hook.py line 689 2389709] light : 0.0281 0.0398 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] laundry basket : 0.0082 0.0082 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] pipe : 0.1274 0.1845 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] clothes dryer : 0.3728 0.3754 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] guitar : 0.4793 0.4813 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] toilet paper holder: 0.0634 0.1371 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] ladder : 0.3865 0.6751 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] bathroom stall : 0.4436 0.5219 +[2025-03-11 04:15:27,738 INFO hook.py line 689 2389709] shower wall : 0.5018 0.6467 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] cup : 0.1878 0.5974 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] jacket : 0.2161 0.3798 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] storage bin : 0.0476 0.0644 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] coffee maker : 0.7508 0.9778 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] dishwasher : 0.2525 0.3865 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] paper towel roll: 0.3089 0.3633 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] mat : 0.1843 0.2199 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] windowsill : 0.1442 0.1822 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] bar : 0.1555 0.2519 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] toaster : 0.2406 0.4229 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] bulletin board : 0.1741 0.3926 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] ironing board : 0.0775 0.0804 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] fireplace : 0.5860 0.6067 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] soap dish : 0.3460 0.4923 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] kitchen counter: 0.4428 0.5135 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] doorframe : 0.3611 0.7047 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3439 0.4477 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] mini fridge : 0.2680 0.3098 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] fire extinguisher: 0.0146 0.0171 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] ball : 0.2831 0.9615 +[2025-03-11 04:15:27,739 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] shower curtain rod: 0.3067 0.9068 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] water cooler : 0.5999 0.7173 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] paper cutter : 0.2738 0.2967 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] tray : 0.0452 0.0818 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] shower door : 0.1559 0.3303 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] pillar : 0.0008 0.0008 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] ledge : 0.0422 0.0656 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] toaster oven : 0.0167 0.0167 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] mouse : 0.0665 0.5590 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7737 0.8508 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] cart : 0.1718 0.2245 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] scale : 0.3932 0.9495 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] tissue box : 0.2103 0.3658 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] light switch : 0.0272 0.1920 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] power outlet : 0.1883 0.3306 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] decoration : 0.3567 0.6402 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] sign : 0.2278 0.3368 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] projector : 0.0110 0.2081 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] closet door : 0.0403 0.0416 +[2025-03-11 04:15:27,740 INFO hook.py line 689 2389709] vacuum cleaner : 0.8966 0.9885 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] plunger : 0.2134 0.9776 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] headphones : 0.0034 0.0052 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] dish rack : 0.7528 0.7969 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] broom : 0.0578 0.1019 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] range hood : 0.5993 0.6940 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] dustpan : 0.0287 0.0843 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] handicap bar : 0.0552 0.6774 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] shower floor : 0.8474 0.9590 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] mailbox : 0.3227 0.3268 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] bowl : 0.1043 0.2148 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] paper bag : 0.0129 0.0131 +[2025-03-11 04:15:27,741 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] projector screen: 0.0001 0.0001 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] divider : 0.5374 0.6451 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] bathroom counter: 0.2293 0.3193 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] object : 0.0358 0.0555 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] bathroom vanity: 0.4365 0.8654 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] closet wall : 0.0721 0.0974 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] laundry hamper : 0.0079 0.0088 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] bathroom stall door: 0.4314 0.7105 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] ceiling light : 0.1993 0.2860 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] trash bin : 0.2348 0.2756 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] dumbbell : 0.3538 0.9688 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] stair rail : 0.1631 0.2087 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] tube : 0.0989 0.1343 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] bathroom cabinet: 0.2234 0.3844 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] closet rod : 0.3091 0.8758 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] coffee kettle : 0.0258 0.0262 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] shower head : 0.2924 0.3518 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:15:27,742 INFO hook.py line 689 2389709] case of water bottles: 0.0634 0.0635 +[2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:15:27,743 INFO hook.py line 689 2389709] mattress : 0.0031 0.0031 +[2025-03-11 04:15:27,743 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:15:27,743 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2914/0.4054/0.8059. +[2025-03-11 04:15:27,744 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:15:27,764 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:15:27,764 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:15:57,559 INFO hook.py line 566 2389709] Train: [55/100][50/300] Data 0.002 (0.002) Batch 0.467 (0.490) Remain 01:52:17 loss: 0.4083 Lr: 2.36392e-03 +[2025-03-11 04:16:22,090 INFO hook.py line 566 2389709] Train: [55/100][100/300] Data 0.002 (0.002) Batch 0.502 (0.490) Remain 01:51:57 loss: 0.7822 Lr: 2.35017e-03 +[2025-03-11 04:16:47,220 INFO hook.py line 566 2389709] Train: [55/100][150/300] Data 0.002 (0.002) Batch 0.547 (0.494) Remain 01:52:29 loss: 0.5333 Lr: 2.33641e-03 +[2025-03-11 04:17:11,678 INFO hook.py line 566 2389709] Train: [55/100][200/300] Data 0.003 (0.002) Batch 0.474 (0.493) Remain 01:51:46 loss: 0.4876 Lr: 2.32267e-03 +[2025-03-11 04:17:36,165 INFO hook.py line 566 2389709] Train: [55/100][250/300] Data 0.003 (0.002) Batch 0.496 (0.492) Remain 01:51:12 loss: 0.6699 Lr: 2.30893e-03 +[2025-03-11 04:18:00,509 INFO hook.py line 566 2389709] Train: [55/100][300/300] Data 0.002 (0.002) Batch 0.435 (0.492) Remain 01:50:35 loss: 0.6995 Lr: 2.29520e-03 +[2025-03-11 04:18:00,509 INFO misc.py line 135 2389709] Train result: loss: 0.6541 +[2025-03-11 04:18:00,610 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:18:48,950 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6162 +[2025-03-11 04:18:49,001 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1959 +[2025-03-11 04:18:49,038 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6093 +[2025-03-11 04:18:49,090 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5135 +[2025-03-11 04:18:49,124 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0912 +[2025-03-11 04:18:49,188 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.5571 +[2025-03-11 04:18:49,244 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7664 +[2025-03-11 04:18:49,274 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5041 +[2025-03-11 04:18:49,325 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2677 +[2025-03-11 04:18:49,365 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9704 +[2025-03-11 04:18:49,416 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2170 +[2025-03-11 04:18:49,453 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2649 +[2025-03-11 04:18:49,506 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4400 +[2025-03-11 04:18:49,550 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9931 +[2025-03-11 04:18:49,589 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3010 +[2025-03-11 04:18:49,645 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.2465 +[2025-03-11 04:18:49,686 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.1794 +[2025-03-11 04:18:49,728 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7762 +[2025-03-11 04:18:49,781 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2663 +[2025-03-11 04:18:49,827 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6209 +[2025-03-11 04:18:49,872 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7423 +[2025-03-11 04:18:49,917 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7662 +[2025-03-11 04:18:49,952 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4984 +[2025-03-11 04:18:50,006 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8444 +[2025-03-11 04:18:50,052 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.2241 +[2025-03-11 04:18:50,099 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.8571 +[2025-03-11 04:18:50,156 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9572 +[2025-03-11 04:18:50,196 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6277 +[2025-03-11 04:18:50,240 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2539 +[2025-03-11 04:18:50,301 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8660 +[2025-03-11 04:18:50,365 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5836 +[2025-03-11 04:18:50,402 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0767 +[2025-03-11 04:18:50,464 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8898 +[2025-03-11 04:18:50,508 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2808 +[2025-03-11 04:18:50,552 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0697 +[2025-03-11 04:18:50,591 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2361 +[2025-03-11 04:18:50,635 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2247 +[2025-03-11 04:18:50,672 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7816 +[2025-03-11 04:18:50,747 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6803 +[2025-03-11 04:18:50,796 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6148 +[2025-03-11 04:18:50,857 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4087 +[2025-03-11 04:18:50,898 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6503 +[2025-03-11 04:18:50,941 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9789 +[2025-03-11 04:18:50,999 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9188 +[2025-03-11 04:18:51,036 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7233 +[2025-03-11 04:18:51,096 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0408 +[2025-03-11 04:18:51,136 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2882 +[2025-03-11 04:18:51,171 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9280 +[2025-03-11 04:18:51,205 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2718 +[2025-03-11 04:18:51,240 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5581 +[2025-03-11 04:18:51,271 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2649 +[2025-03-11 04:18:51,306 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.4246 +[2025-03-11 04:18:51,342 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1096 +[2025-03-11 04:18:51,378 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1815 +[2025-03-11 04:18:51,418 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5163 +[2025-03-11 04:18:51,459 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8266 +[2025-03-11 04:18:51,493 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1042 +[2025-03-11 04:18:51,518 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2766 +[2025-03-11 04:18:51,558 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9524 +[2025-03-11 04:18:51,593 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6900 +[2025-03-11 04:18:51,617 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7544 +[2025-03-11 04:18:51,652 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9526 +[2025-03-11 04:18:51,689 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1746 +[2025-03-11 04:18:51,747 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6116 +[2025-03-11 04:18:51,776 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5343 +[2025-03-11 04:18:51,820 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.0050 +[2025-03-11 04:18:51,859 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.3670 +[2025-03-11 04:18:51,895 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9830 +[2025-03-11 04:18:51,927 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3543 +[2025-03-11 04:18:51,989 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2235 +[2025-03-11 04:18:52,032 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5117 +[2025-03-11 04:18:52,087 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3326 +[2025-03-11 04:18:52,141 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5981 +[2025-03-11 04:18:52,186 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.0987 +[2025-03-11 04:18:52,238 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3336 +[2025-03-11 04:18:52,267 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9687 +[2025-03-11 04:18:52,326 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7575 +[2025-03-11 04:18:52,358 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2567 +[2025-03-11 04:18:53,593 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:18:53,594 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:18:53,594 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:18:53,594 INFO hook.py line 689 2389709] wall : 0.7842 0.9344 +[2025-03-11 04:18:53,594 INFO hook.py line 689 2389709] chair : 0.6551 0.7835 +[2025-03-11 04:18:53,594 INFO hook.py line 689 2389709] floor : 0.9568 0.9820 +[2025-03-11 04:18:53,594 INFO hook.py line 689 2389709] table : 0.6175 0.7536 +[2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] door : 0.6470 0.7444 +[2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] couch : 0.7742 0.9253 +[2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] cabinet : 0.2992 0.4907 +[2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] shelf : 0.3121 0.4249 +[2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] desk : 0.5579 0.7929 +[2025-03-11 04:18:53,595 INFO hook.py line 689 2389709] office chair : 0.1629 0.3510 +[2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] bed : 0.7851 0.8811 +[2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] pillow : 0.5353 0.7033 +[2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] sink : 0.6266 0.7355 +[2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] picture : 0.3550 0.4257 +[2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] window : 0.5335 0.6721 +[2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] toilet : 0.9279 0.9580 +[2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] bookshelf : 0.4958 0.7091 +[2025-03-11 04:18:53,596 INFO hook.py line 689 2389709] monitor : 0.8221 0.8600 +[2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] curtain : 0.6654 0.7635 +[2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] book : 0.4397 0.6521 +[2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] armchair : 0.5599 0.7670 +[2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] coffee table : 0.5998 0.6673 +[2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] box : 0.2821 0.3490 +[2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] refrigerator : 0.5978 0.6223 +[2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] lamp : 0.7047 0.8247 +[2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] kitchen cabinet: 0.6325 0.7435 +[2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] towel : 0.5577 0.6551 +[2025-03-11 04:18:53,597 INFO hook.py line 689 2389709] clothes : 0.1676 0.4165 +[2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] tv : 0.7963 0.8993 +[2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] nightstand : 0.6628 0.7341 +[2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] counter : 0.1605 0.2326 +[2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] dresser : 0.2535 0.4247 +[2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] stool : 0.5420 0.6208 +[2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:18:53,598 INFO hook.py line 689 2389709] plant : 0.7622 0.8744 +[2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] ceiling : 0.9250 0.9561 +[2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] bathtub : 0.8728 0.9205 +[2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] end table : 0.1373 0.1805 +[2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] dining table : 0.0072 0.0088 +[2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] keyboard : 0.4177 0.6126 +[2025-03-11 04:18:53,599 INFO hook.py line 689 2389709] bag : 0.1711 0.2620 +[2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] backpack : 0.5829 0.6772 +[2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] toilet paper : 0.4054 0.4628 +[2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] printer : 0.4597 0.4899 +[2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] tv stand : 0.1577 0.9622 +[2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] whiteboard : 0.4380 0.5443 +[2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] blanket : 0.0277 0.0321 +[2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] shower curtain : 0.5386 0.5849 +[2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] trash can : 0.6140 0.8179 +[2025-03-11 04:18:53,600 INFO hook.py line 689 2389709] closet : 0.0848 0.1951 +[2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] stairs : 0.5349 0.6465 +[2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] microwave : 0.4229 0.5917 +[2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] stove : 0.6210 0.8494 +[2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] shoe : 0.4663 0.6829 +[2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] computer tower : 0.5806 0.7748 +[2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] bottle : 0.1193 0.2043 +[2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] bin : 0.0018 0.0034 +[2025-03-11 04:18:53,601 INFO hook.py line 689 2389709] ottoman : 0.1813 0.1952 +[2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] bench : 0.1616 0.1918 +[2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] board : 0.1681 0.3095 +[2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] washing machine: 0.7670 0.9177 +[2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] mirror : 0.3334 0.5009 +[2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] copier : 0.8296 0.9027 +[2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:18:53,602 INFO hook.py line 689 2389709] sofa chair : 0.0721 0.1075 +[2025-03-11 04:18:53,603 INFO hook.py line 689 2389709] file cabinet : 0.4445 0.5311 +[2025-03-11 04:18:53,603 INFO hook.py line 689 2389709] fan : 0.3812 0.3948 +[2025-03-11 04:18:53,603 INFO hook.py line 689 2389709] laptop : 0.4001 0.7310 +[2025-03-11 04:18:53,603 INFO hook.py line 689 2389709] shower : 0.0835 0.0857 +[2025-03-11 04:18:53,603 INFO hook.py line 689 2389709] paper : 0.0544 0.0765 +[2025-03-11 04:18:53,604 INFO hook.py line 689 2389709] person : 0.2109 0.6328 +[2025-03-11 04:18:53,604 INFO hook.py line 689 2389709] paper towel dispenser: 0.5348 0.6649 +[2025-03-11 04:18:53,604 INFO hook.py line 689 2389709] oven : 0.1036 0.1108 +[2025-03-11 04:18:53,605 INFO hook.py line 689 2389709] blinds : 0.0008 0.0008 +[2025-03-11 04:18:53,605 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:18:53,605 INFO hook.py line 689 2389709] plate : 0.1038 0.1657 +[2025-03-11 04:18:53,606 INFO hook.py line 689 2389709] blackboard : 0.5290 0.6604 +[2025-03-11 04:18:53,606 INFO hook.py line 689 2389709] piano : 0.3900 0.7958 +[2025-03-11 04:18:53,607 INFO hook.py line 689 2389709] suitcase : 0.5985 0.7561 +[2025-03-11 04:18:53,607 INFO hook.py line 689 2389709] rail : 0.0546 0.0592 +[2025-03-11 04:18:53,607 INFO hook.py line 689 2389709] radiator : 0.5311 0.5905 +[2025-03-11 04:18:53,607 INFO hook.py line 689 2389709] recycling bin : 0.4526 0.5934 +[2025-03-11 04:18:53,608 INFO hook.py line 689 2389709] container : 0.0221 0.0253 +[2025-03-11 04:18:53,608 INFO hook.py line 689 2389709] wardrobe : 0.1012 0.1179 +[2025-03-11 04:18:53,608 INFO hook.py line 689 2389709] soap dispenser : 0.7923 0.9016 +[2025-03-11 04:18:53,612 INFO hook.py line 689 2389709] telephone : 0.3432 0.6068 +[2025-03-11 04:18:53,613 INFO hook.py line 689 2389709] bucket : 0.3111 0.4648 +[2025-03-11 04:18:53,613 INFO hook.py line 689 2389709] clock : 0.2159 0.2316 +[2025-03-11 04:18:53,614 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:18:53,614 INFO hook.py line 689 2389709] light : 0.0340 0.0441 +[2025-03-11 04:18:53,615 INFO hook.py line 689 2389709] laundry basket : 0.0670 0.1040 +[2025-03-11 04:18:53,615 INFO hook.py line 689 2389709] pipe : 0.0401 0.0566 +[2025-03-11 04:18:53,615 INFO hook.py line 689 2389709] clothes dryer : 0.2989 0.3069 +[2025-03-11 04:18:53,615 INFO hook.py line 689 2389709] guitar : 0.5155 0.5532 +[2025-03-11 04:18:53,616 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 04:18:53,616 INFO hook.py line 689 2389709] seat : 0.0001 0.0001 +[2025-03-11 04:18:53,616 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:18:53,616 INFO hook.py line 689 2389709] column : 0.0098 0.0192 +[2025-03-11 04:18:53,617 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:18:53,617 INFO hook.py line 689 2389709] ladder : 0.4579 0.5460 +[2025-03-11 04:18:53,617 INFO hook.py line 689 2389709] bathroom stall : 0.4491 0.5133 +[2025-03-11 04:18:53,617 INFO hook.py line 689 2389709] shower wall : 0.4343 0.5191 +[2025-03-11 04:18:53,618 INFO hook.py line 689 2389709] cup : 0.1636 0.2373 +[2025-03-11 04:18:53,618 INFO hook.py line 689 2389709] jacket : 0.1873 0.2620 +[2025-03-11 04:18:53,618 INFO hook.py line 689 2389709] storage bin : 0.0138 0.0191 +[2025-03-11 04:18:53,618 INFO hook.py line 689 2389709] coffee maker : 0.6685 0.8029 +[2025-03-11 04:18:53,618 INFO hook.py line 689 2389709] dishwasher : 0.4404 0.5406 +[2025-03-11 04:18:53,619 INFO hook.py line 689 2389709] paper towel roll: 0.3010 0.4048 +[2025-03-11 04:18:53,619 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:18:53,619 INFO hook.py line 689 2389709] mat : 0.1176 0.1248 +[2025-03-11 04:18:53,619 INFO hook.py line 689 2389709] windowsill : 0.1172 0.1254 +[2025-03-11 04:18:53,620 INFO hook.py line 689 2389709] bar : 0.1187 0.1753 +[2025-03-11 04:18:53,620 INFO hook.py line 689 2389709] toaster : 0.0773 0.1080 +[2025-03-11 04:18:53,620 INFO hook.py line 689 2389709] bulletin board : 0.1308 0.1479 +[2025-03-11 04:18:53,621 INFO hook.py line 689 2389709] ironing board : 0.0495 0.0630 +[2025-03-11 04:18:53,621 INFO hook.py line 689 2389709] fireplace : 0.6401 0.7002 +[2025-03-11 04:18:53,622 INFO hook.py line 689 2389709] soap dish : 0.3520 0.4717 +[2025-03-11 04:18:53,622 INFO hook.py line 689 2389709] kitchen counter: 0.4815 0.5759 +[2025-03-11 04:18:53,622 INFO hook.py line 689 2389709] doorframe : 0.4091 0.5235 +[2025-03-11 04:18:53,622 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4635 0.5500 +[2025-03-11 04:18:53,622 INFO hook.py line 689 2389709] mini fridge : 0.5547 0.6509 +[2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] ball : 0.4420 0.6226 +[2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] shower curtain rod: 0.4166 0.8858 +[2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] water cooler : 0.6411 0.6769 +[2025-03-11 04:18:53,623 INFO hook.py line 689 2389709] paper cutter : 0.2137 0.2666 +[2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] tray : 0.0001 0.0002 +[2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] shower door : 0.2568 0.2673 +[2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] pillar : 0.0017 0.0018 +[2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] ledge : 0.0492 0.0728 +[2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 04:18:53,624 INFO hook.py line 689 2389709] mouse : 0.1264 0.5044 +[2025-03-11 04:18:53,625 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5174 0.5728 +[2025-03-11 04:18:53,625 INFO hook.py line 689 2389709] furniture : 0.0011 0.0014 +[2025-03-11 04:18:53,625 INFO hook.py line 689 2389709] cart : 0.0789 0.0889 +[2025-03-11 04:18:53,625 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] scale : 0.6588 0.9350 +[2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] tissue box : 0.2501 0.3074 +[2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] light switch : 0.0406 0.2360 +[2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] power outlet : 0.2525 0.3574 +[2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] decoration : 0.2868 0.3904 +[2025-03-11 04:18:53,626 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] projector : 0.2166 0.7588 +[2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] closet door : 0.3742 0.4518 +[2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] vacuum cleaner : 0.5800 0.5911 +[2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] plunger : 0.4451 0.9775 +[2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] headphones : 0.0390 0.0559 +[2025-03-11 04:18:53,627 INFO hook.py line 689 2389709] dish rack : 0.5132 0.5926 +[2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] broom : 0.0986 0.1153 +[2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] range hood : 0.5748 0.7127 +[2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] dustpan : 0.1217 0.1508 +[2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 04:18:53,628 INFO hook.py line 689 2389709] handicap bar : 0.0000 0.0000 +[2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] vent : 0.0185 0.0482 +[2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] shower floor : 0.0958 0.0997 +[2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] mailbox : 0.4592 0.5041 +[2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] bowl : 0.0247 0.0265 +[2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] paper bag : 0.0554 0.0681 +[2025-03-11 04:18:53,629 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] divider : 0.4794 0.4986 +[2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] bathroom counter: 0.3274 0.3759 +[2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] object : 0.0332 0.0678 +[2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] bathroom vanity: 0.4704 0.7435 +[2025-03-11 04:18:53,630 INFO hook.py line 689 2389709] closet wall : 0.0998 0.1553 +[2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] laundry hamper : 0.0516 0.0656 +[2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] bathroom stall door: 0.5261 0.7014 +[2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] ceiling light : 0.3617 0.4938 +[2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] trash bin : 0.2993 0.4206 +[2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] dumbbell : 0.8725 0.9625 +[2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] stair rail : 0.2022 0.2465 +[2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] tube : 0.0463 0.0537 +[2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] bathroom cabinet: 0.2610 0.4033 +[2025-03-11 04:18:53,631 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] closet rod : 0.3200 0.8179 +[2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] coffee kettle : 0.0136 0.0140 +[2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] shower head : 0.1701 0.2557 +[2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] keyboard piano : 0.0351 0.0868 +[2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] case of water bottles: 0.0049 0.0050 +[2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 04:18:53,632 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:18:53,633 INFO hook.py line 689 2389709] mattress : 0.0008 0.0008 +[2025-03-11 04:18:53,634 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:18:53,634 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2851/0.3701/0.8036. +[2025-03-11 04:18:53,635 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:18:53,654 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:18:53,654 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:19:24,441 INFO hook.py line 566 2389709] Train: [56/100][50/300] Data 0.003 (0.003) Batch 0.542 (0.507) Remain 01:53:33 loss: 0.7724 Lr: 2.28147e-03 +[2025-03-11 04:19:49,329 INFO hook.py line 566 2389709] Train: [56/100][100/300] Data 0.003 (0.002) Batch 0.488 (0.502) Remain 01:52:06 loss: 0.6051 Lr: 2.26775e-03 +[2025-03-11 04:20:14,311 INFO hook.py line 566 2389709] Train: [56/100][150/300] Data 0.002 (0.002) Batch 0.470 (0.501) Remain 01:51:31 loss: 0.6544 Lr: 2.25403e-03 +[2025-03-11 04:20:38,899 INFO hook.py line 566 2389709] Train: [56/100][200/300] Data 0.002 (0.002) Batch 0.527 (0.499) Remain 01:50:34 loss: 0.8770 Lr: 2.24033e-03 +[2025-03-11 04:21:03,411 INFO hook.py line 566 2389709] Train: [56/100][250/300] Data 0.002 (0.002) Batch 0.461 (0.497) Remain 01:49:46 loss: 0.6600 Lr: 2.22663e-03 +[2025-03-11 04:21:27,708 INFO hook.py line 566 2389709] Train: [56/100][300/300] Data 0.001 (0.002) Batch 0.510 (0.495) Remain 01:48:56 loss: 0.5121 Lr: 2.21294e-03 +[2025-03-11 04:21:27,709 INFO misc.py line 135 2389709] Train result: loss: 0.6609 +[2025-03-11 04:21:27,809 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:22:16,052 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4142 +[2025-03-11 04:22:16,168 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5666 +[2025-03-11 04:22:16,208 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6103 +[2025-03-11 04:22:16,262 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3939 +[2025-03-11 04:22:16,305 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9651 +[2025-03-11 04:22:16,372 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3389 +[2025-03-11 04:22:16,424 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8488 +[2025-03-11 04:22:16,453 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3440 +[2025-03-11 04:22:16,500 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.5533 +[2025-03-11 04:22:16,535 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2180 +[2025-03-11 04:22:16,584 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3222 +[2025-03-11 04:22:16,617 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8815 +[2025-03-11 04:22:16,680 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0741 +[2025-03-11 04:22:16,725 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.3529 +[2025-03-11 04:22:16,766 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1077 +[2025-03-11 04:22:16,819 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1836 +[2025-03-11 04:22:16,861 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4073 +[2025-03-11 04:22:16,899 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9620 +[2025-03-11 04:22:16,944 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1824 +[2025-03-11 04:22:16,980 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6009 +[2025-03-11 04:22:17,021 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6695 +[2025-03-11 04:22:17,062 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.1522 +[2025-03-11 04:22:17,091 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3781 +[2025-03-11 04:22:17,140 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.3745 +[2025-03-11 04:22:17,185 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6660 +[2025-03-11 04:22:17,231 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2583 +[2025-03-11 04:22:17,285 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.2608 +[2025-03-11 04:22:17,323 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5082 +[2025-03-11 04:22:17,355 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9948 +[2025-03-11 04:22:17,418 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4445 +[2025-03-11 04:22:17,477 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5376 +[2025-03-11 04:22:17,512 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5434 +[2025-03-11 04:22:17,574 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.5946 +[2025-03-11 04:22:17,618 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.7710 +[2025-03-11 04:22:17,662 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.0911 +[2025-03-11 04:22:17,714 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2987 +[2025-03-11 04:22:17,753 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6024 +[2025-03-11 04:22:17,782 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7739 +[2025-03-11 04:22:17,854 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0095 +[2025-03-11 04:22:17,902 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.9488 +[2025-03-11 04:22:17,951 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4655 +[2025-03-11 04:22:17,985 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4828 +[2025-03-11 04:22:18,037 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1733 +[2025-03-11 04:22:18,094 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8391 +[2025-03-11 04:22:18,134 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6171 +[2025-03-11 04:22:18,187 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1254 +[2025-03-11 04:22:18,228 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0529 +[2025-03-11 04:22:18,261 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0959 +[2025-03-11 04:22:18,296 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4612 +[2025-03-11 04:22:18,333 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.3186 +[2025-03-11 04:22:18,364 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3932 +[2025-03-11 04:22:18,398 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6111 +[2025-03-11 04:22:18,426 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.0813 +[2025-03-11 04:22:18,465 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3814 +[2025-03-11 04:22:18,506 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.1492 +[2025-03-11 04:22:18,551 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.7381 +[2025-03-11 04:22:18,589 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4460 +[2025-03-11 04:22:18,618 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8883 +[2025-03-11 04:22:18,657 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7583 +[2025-03-11 04:22:18,691 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4951 +[2025-03-11 04:22:18,719 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9706 +[2025-03-11 04:22:18,754 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9344 +[2025-03-11 04:22:18,790 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2608 +[2025-03-11 04:22:18,851 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7875 +[2025-03-11 04:22:18,878 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2645 +[2025-03-11 04:22:18,925 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2280 +[2025-03-11 04:22:18,965 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2257 +[2025-03-11 04:22:19,005 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0167 +[2025-03-11 04:22:19,041 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3131 +[2025-03-11 04:22:19,108 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0975 +[2025-03-11 04:22:19,152 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7457 +[2025-03-11 04:22:19,207 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4876 +[2025-03-11 04:22:19,260 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6397 +[2025-03-11 04:22:19,309 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2144 +[2025-03-11 04:22:19,365 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6828 +[2025-03-11 04:22:19,397 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9506 +[2025-03-11 04:22:19,456 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7430 +[2025-03-11 04:22:19,482 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2683 +[2025-03-11 04:22:20,700 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:22:20,700 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:22:20,700 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] wall : 0.7789 0.9361 +[2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] chair : 0.7486 0.8757 +[2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] floor : 0.9552 0.9804 +[2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] table : 0.6042 0.7005 +[2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] door : 0.6602 0.7944 +[2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] couch : 0.6599 0.9565 +[2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] cabinet : 0.3405 0.4935 +[2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] shelf : 0.3718 0.5045 +[2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] desk : 0.5607 0.7946 +[2025-03-11 04:22:20,701 INFO hook.py line 689 2389709] office chair : 0.1996 0.2580 +[2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] bed : 0.7500 0.8578 +[2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] pillow : 0.5641 0.7845 +[2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] sink : 0.6338 0.7529 +[2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] picture : 0.3522 0.4309 +[2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] window : 0.5661 0.7193 +[2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] toilet : 0.8913 0.9634 +[2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] bookshelf : 0.4680 0.6763 +[2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] monitor : 0.7968 0.8328 +[2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] curtain : 0.6836 0.7656 +[2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] book : 0.4352 0.6618 +[2025-03-11 04:22:20,702 INFO hook.py line 689 2389709] armchair : 0.3452 0.3771 +[2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] coffee table : 0.6225 0.6897 +[2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] box : 0.2604 0.3172 +[2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] refrigerator : 0.6491 0.7331 +[2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] lamp : 0.6080 0.8400 +[2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] kitchen cabinet: 0.6473 0.7774 +[2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] towel : 0.5128 0.6837 +[2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] clothes : 0.1732 0.2563 +[2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] tv : 0.7534 0.9115 +[2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] nightstand : 0.6248 0.8750 +[2025-03-11 04:22:20,703 INFO hook.py line 689 2389709] counter : 0.2954 0.6108 +[2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] dresser : 0.3151 0.4254 +[2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] stool : 0.6112 0.7433 +[2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] plant : 0.7337 0.8692 +[2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] ceiling : 0.9216 0.9580 +[2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] bathtub : 0.8559 0.9132 +[2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] end table : 0.3078 0.4403 +[2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] dining table : 0.0336 0.0604 +[2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] keyboard : 0.4302 0.4993 +[2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] bag : 0.1858 0.2708 +[2025-03-11 04:22:20,704 INFO hook.py line 689 2389709] backpack : 0.5411 0.8006 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] toilet paper : 0.4846 0.6103 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] printer : 0.5107 0.5163 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] tv stand : 0.4700 0.7589 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] whiteboard : 0.4845 0.6508 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] blanket : 0.0212 0.0388 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] shower curtain : 0.7086 0.7731 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] trash can : 0.6189 0.7545 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] closet : 0.1129 0.1513 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] stairs : 0.5166 0.5783 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] microwave : 0.4712 0.6694 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] stove : 0.5961 0.8239 +[2025-03-11 04:22:20,705 INFO hook.py line 689 2389709] shoe : 0.4533 0.6524 +[2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] computer tower : 0.5677 0.6917 +[2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] bottle : 0.0800 0.1223 +[2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] bin : 0.0038 0.0081 +[2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] ottoman : 0.4206 0.5024 +[2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] bench : 0.3074 0.4893 +[2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] board : 0.1912 0.3174 +[2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] washing machine: 0.8288 0.8758 +[2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] mirror : 0.3730 0.5214 +[2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] copier : 0.7673 0.8990 +[2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:22:20,706 INFO hook.py line 689 2389709] sofa chair : 0.1714 0.2346 +[2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] file cabinet : 0.4024 0.4495 +[2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] fan : 0.2494 0.3068 +[2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] laptop : 0.4660 0.7048 +[2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] shower : 0.1258 0.1299 +[2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] paper : 0.0671 0.0919 +[2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] person : 0.3451 0.4378 +[2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] paper towel dispenser: 0.5609 0.6649 +[2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] oven : 0.0003 0.0003 +[2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] blinds : 0.0090 0.0098 +[2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:22:20,707 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] blackboard : 0.6209 0.6602 +[2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] piano : 0.4431 0.4677 +[2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] suitcase : 0.5986 0.6839 +[2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] rail : 0.0346 0.0373 +[2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] radiator : 0.5811 0.6429 +[2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] recycling bin : 0.3855 0.7136 +[2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] wardrobe : 0.1847 0.2363 +[2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] soap dispenser : 0.8656 0.8930 +[2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] telephone : 0.3134 0.5085 +[2025-03-11 04:22:20,708 INFO hook.py line 689 2389709] bucket : 0.2973 0.3742 +[2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] clock : 0.2507 0.3266 +[2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] stand : 0.0016 0.0328 +[2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] light : 0.0728 0.0868 +[2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] laundry basket : 0.0030 0.0040 +[2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] pipe : 0.0471 0.0725 +[2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] clothes dryer : 0.4587 0.4679 +[2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] guitar : 0.3440 0.8758 +[2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:22:20,709 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] ladder : 0.4943 0.7325 +[2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] bathroom stall : 0.4259 0.4731 +[2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] shower wall : 0.4923 0.6187 +[2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] cup : 0.1822 0.3273 +[2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] jacket : 0.1846 0.3180 +[2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] storage bin : 0.0617 0.0776 +[2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] coffee maker : 0.7193 0.9909 +[2025-03-11 04:22:20,710 INFO hook.py line 689 2389709] dishwasher : 0.1754 0.1805 +[2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] paper towel roll: 0.2880 0.2947 +[2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] mat : 0.1725 0.1993 +[2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] windowsill : 0.1337 0.1512 +[2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] bar : 0.1677 0.3096 +[2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] toaster : 0.0025 0.0038 +[2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] bulletin board : 0.1665 0.2009 +[2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] ironing board : 0.1119 0.1250 +[2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] fireplace : 0.5613 0.5945 +[2025-03-11 04:22:20,711 INFO hook.py line 689 2389709] soap dish : 0.3393 0.4983 +[2025-03-11 04:22:20,715 INFO hook.py line 689 2389709] kitchen counter: 0.4525 0.5293 +[2025-03-11 04:22:20,715 INFO hook.py line 689 2389709] doorframe : 0.4095 0.6335 +[2025-03-11 04:22:20,715 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4189 0.5209 +[2025-03-11 04:22:20,715 INFO hook.py line 689 2389709] mini fridge : 0.4187 0.4807 +[2025-03-11 04:22:20,715 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] ball : 0.3502 0.9424 +[2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] shower curtain rod: 0.3445 0.8660 +[2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] water cooler : 0.7248 0.7389 +[2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] paper cutter : 0.2910 0.3957 +[2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] tray : 0.0585 0.0941 +[2025-03-11 04:22:20,716 INFO hook.py line 689 2389709] shower door : 0.1626 0.2615 +[2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] ledge : 0.0672 0.1032 +[2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] toaster oven : 0.0055 0.0057 +[2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] mouse : 0.0916 0.2643 +[2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7017 0.7419 +[2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:22:20,717 INFO hook.py line 689 2389709] cart : 0.1300 0.1387 +[2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] scale : 0.2167 0.9583 +[2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] tissue box : 0.2131 0.3536 +[2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] light switch : 0.0494 0.1451 +[2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] power outlet : 0.0958 0.1247 +[2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] decoration : 0.1390 0.2819 +[2025-03-11 04:22:20,718 INFO hook.py line 689 2389709] sign : 0.0078 0.0092 +[2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] projector : 0.2168 1.0000 +[2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] closet door : 0.1781 0.1972 +[2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] vacuum cleaner : 0.8450 0.9466 +[2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] plunger : 0.3934 0.8835 +[2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 04:22:20,719 INFO hook.py line 689 2389709] dish rack : 0.6619 0.9112 +[2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] broom : 0.0623 0.2083 +[2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] range hood : 0.7692 0.8823 +[2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] dustpan : 0.0789 0.1801 +[2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] water bottle : 0.0121 0.0374 +[2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] handicap bar : 0.0065 0.0774 +[2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] vent : 0.0555 0.0621 +[2025-03-11 04:22:20,720 INFO hook.py line 689 2389709] shower floor : 0.7867 0.9745 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] mailbox : 0.3761 0.3848 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] bowl : 0.0373 0.0416 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] paper bag : 0.0948 0.1107 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] projector screen: 0.0024 0.0030 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] divider : 0.5215 0.5763 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] bathroom counter: 0.2075 0.2424 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] object : 0.0280 0.0404 +[2025-03-11 04:22:20,721 INFO hook.py line 689 2389709] bathroom vanity: 0.3666 0.8452 +[2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] closet wall : 0.0132 0.0154 +[2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] laundry hamper : 0.0475 0.0603 +[2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] bathroom stall door: 0.4986 0.6913 +[2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] ceiling light : 0.2303 0.2987 +[2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] trash bin : 0.2774 0.3416 +[2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] dumbbell : 0.6308 0.9719 +[2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] stair rail : 0.2072 0.2490 +[2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] tube : 0.0935 0.1074 +[2025-03-11 04:22:20,722 INFO hook.py line 689 2389709] bathroom cabinet: 0.2203 0.2929 +[2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] closet rod : 0.4157 0.8150 +[2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] coffee kettle : 0.0079 0.0079 +[2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] shower head : 0.3292 0.3459 +[2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] case of water bottles: 0.0775 0.0775 +[2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] coat rack : 0.0035 0.0072 +[2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:22:20,723 INFO hook.py line 689 2389709] fire alarm : 0.3017 0.7778 +[2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] calendar : 0.0565 0.1105 +[2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:22:20,724 INFO hook.py line 689 2389709] mattress : 0.0677 0.0679 +[2025-03-11 04:22:20,724 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:22:20,724 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2927/0.3892/0.8126. +[2025-03-11 04:22:20,725 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:22:20,740 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:22:20,741 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:22:51,776 INFO hook.py line 566 2389709] Train: [57/100][50/300] Data 0.005 (0.002) Batch 0.500 (0.507) Remain 01:51:11 loss: 0.3449 Lr: 2.19925e-03 +[2025-03-11 04:23:15,956 INFO hook.py line 566 2389709] Train: [57/100][100/300] Data 0.003 (0.002) Batch 0.472 (0.495) Remain 01:48:06 loss: 0.6699 Lr: 2.18558e-03 +[2025-03-11 04:23:40,451 INFO hook.py line 566 2389709] Train: [57/100][150/300] Data 0.002 (0.002) Batch 0.478 (0.493) Remain 01:47:18 loss: 0.7761 Lr: 2.17192e-03 +[2025-03-11 04:24:04,768 INFO hook.py line 566 2389709] Train: [57/100][200/300] Data 0.002 (0.002) Batch 0.549 (0.492) Remain 01:46:30 loss: 0.5739 Lr: 2.15827e-03 +[2025-03-11 04:24:29,129 INFO hook.py line 566 2389709] Train: [57/100][250/300] Data 0.003 (0.002) Batch 0.497 (0.491) Remain 01:45:54 loss: 0.7350 Lr: 2.14462e-03 +[2025-03-11 04:24:52,817 INFO hook.py line 566 2389709] Train: [57/100][300/300] Data 0.001 (0.002) Batch 0.418 (0.488) Remain 01:44:53 loss: 0.6661 Lr: 2.13099e-03 +[2025-03-11 04:24:52,818 INFO misc.py line 135 2389709] Train result: loss: 0.6680 +[2025-03-11 04:24:52,968 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:25:47,707 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5297 +[2025-03-11 04:25:47,804 INFO hook.py line 748 2389709] Test: [2/78] Loss 2.1768 +[2025-03-11 04:25:47,847 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4694 +[2025-03-11 04:25:47,896 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5832 +[2025-03-11 04:25:47,946 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9323 +[2025-03-11 04:25:48,003 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2234 +[2025-03-11 04:25:48,056 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8826 +[2025-03-11 04:25:48,085 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.8060 +[2025-03-11 04:25:48,130 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.4414 +[2025-03-11 04:25:48,173 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1012 +[2025-03-11 04:25:48,225 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2956 +[2025-03-11 04:25:48,279 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2981 +[2025-03-11 04:25:48,331 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.2283 +[2025-03-11 04:25:48,373 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.6437 +[2025-03-11 04:25:48,412 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1583 +[2025-03-11 04:25:48,464 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1642 +[2025-03-11 04:25:48,501 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.6131 +[2025-03-11 04:25:48,538 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1469 +[2025-03-11 04:25:48,581 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.0196 +[2025-03-11 04:25:48,617 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7730 +[2025-03-11 04:25:48,654 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6157 +[2025-03-11 04:25:48,694 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.2637 +[2025-03-11 04:25:48,726 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3083 +[2025-03-11 04:25:48,780 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0617 +[2025-03-11 04:25:48,825 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7541 +[2025-03-11 04:25:48,872 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5318 +[2025-03-11 04:25:48,926 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.3185 +[2025-03-11 04:25:48,961 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5547 +[2025-03-11 04:25:49,007 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0187 +[2025-03-11 04:25:49,066 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7800 +[2025-03-11 04:25:49,126 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5987 +[2025-03-11 04:25:49,161 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4417 +[2025-03-11 04:25:49,228 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.6751 +[2025-03-11 04:25:49,271 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.4438 +[2025-03-11 04:25:49,311 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1059 +[2025-03-11 04:25:49,352 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4200 +[2025-03-11 04:25:49,399 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0985 +[2025-03-11 04:25:49,439 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.5137 +[2025-03-11 04:25:49,507 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7353 +[2025-03-11 04:25:49,560 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6110 +[2025-03-11 04:25:49,609 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2714 +[2025-03-11 04:25:49,645 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5028 +[2025-03-11 04:25:49,686 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8208 +[2025-03-11 04:25:49,747 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9088 +[2025-03-11 04:25:49,788 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6318 +[2025-03-11 04:25:49,842 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2818 +[2025-03-11 04:25:49,883 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9532 +[2025-03-11 04:25:49,917 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.3021 +[2025-03-11 04:25:49,952 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5514 +[2025-03-11 04:25:49,992 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0115 +[2025-03-11 04:25:50,023 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9060 +[2025-03-11 04:25:50,058 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6728 +[2025-03-11 04:25:50,088 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2041 +[2025-03-11 04:25:50,128 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.5287 +[2025-03-11 04:25:50,171 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2203 +[2025-03-11 04:25:50,217 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8734 +[2025-03-11 04:25:50,256 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0505 +[2025-03-11 04:25:50,286 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9738 +[2025-03-11 04:25:50,325 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7662 +[2025-03-11 04:25:50,362 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5487 +[2025-03-11 04:25:50,389 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9361 +[2025-03-11 04:25:50,426 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9830 +[2025-03-11 04:25:50,463 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9549 +[2025-03-11 04:25:50,523 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.3232 +[2025-03-11 04:25:50,551 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3104 +[2025-03-11 04:25:50,601 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9352 +[2025-03-11 04:25:50,640 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9773 +[2025-03-11 04:25:50,679 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1874 +[2025-03-11 04:25:50,715 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3574 +[2025-03-11 04:25:50,782 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0908 +[2025-03-11 04:25:50,829 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.1107 +[2025-03-11 04:25:50,884 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9597 +[2025-03-11 04:25:50,938 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6724 +[2025-03-11 04:25:50,987 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8379 +[2025-03-11 04:25:51,043 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5413 +[2025-03-11 04:25:51,076 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8966 +[2025-03-11 04:25:51,135 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4585 +[2025-03-11 04:25:51,161 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9805 +[2025-03-11 04:25:52,335 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:25:52,336 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:25:52,336 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] wall : 0.7708 0.9310 +[2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] chair : 0.6541 0.7739 +[2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] floor : 0.9550 0.9788 +[2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] table : 0.6034 0.6990 +[2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] door : 0.6278 0.7702 +[2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] couch : 0.7825 0.9103 +[2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] cabinet : 0.3001 0.4602 +[2025-03-11 04:25:52,336 INFO hook.py line 689 2389709] shelf : 0.4050 0.6826 +[2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] desk : 0.5636 0.8351 +[2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] office chair : 0.2618 0.5944 +[2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] bed : 0.7452 0.8841 +[2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] pillow : 0.5140 0.7551 +[2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] sink : 0.6370 0.7322 +[2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] picture : 0.3648 0.5407 +[2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] window : 0.5826 0.7182 +[2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] toilet : 0.9354 0.9554 +[2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] bookshelf : 0.4386 0.5252 +[2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] monitor : 0.8527 0.9265 +[2025-03-11 04:25:52,337 INFO hook.py line 689 2389709] curtain : 0.7014 0.8292 +[2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] book : 0.4458 0.6891 +[2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] armchair : 0.3951 0.4514 +[2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] coffee table : 0.4684 0.6238 +[2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] box : 0.2638 0.3300 +[2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] refrigerator : 0.5137 0.5338 +[2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] lamp : 0.6498 0.7761 +[2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] kitchen cabinet: 0.6575 0.8335 +[2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] towel : 0.4756 0.7120 +[2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] clothes : 0.2183 0.3936 +[2025-03-11 04:25:52,338 INFO hook.py line 689 2389709] tv : 0.7619 0.7870 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] nightstand : 0.6412 0.8565 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] counter : 0.2863 0.3993 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] dresser : 0.3011 0.4728 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] stool : 0.4855 0.6435 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] plant : 0.4407 0.4574 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] ceiling : 0.9182 0.9458 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] bathtub : 0.8646 0.9069 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] end table : 0.2871 0.3937 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] dining table : 0.0520 0.1478 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] keyboard : 0.4105 0.6359 +[2025-03-11 04:25:52,339 INFO hook.py line 689 2389709] bag : 0.2208 0.4512 +[2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] backpack : 0.5789 0.6360 +[2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] toilet paper : 0.4293 0.6019 +[2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] printer : 0.5410 0.6702 +[2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] tv stand : 0.5877 0.6411 +[2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] whiteboard : 0.5320 0.6776 +[2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] blanket : 0.0534 0.0786 +[2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] shower curtain : 0.5925 0.6546 +[2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] trash can : 0.6037 0.8615 +[2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] closet : 0.0950 0.1112 +[2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] stairs : 0.4681 0.6263 +[2025-03-11 04:25:52,340 INFO hook.py line 689 2389709] microwave : 0.5255 0.7194 +[2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] stove : 0.5647 0.6769 +[2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] shoe : 0.4877 0.7320 +[2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] computer tower : 0.5351 0.7174 +[2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] bottle : 0.1428 0.4015 +[2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] ottoman : 0.3700 0.4082 +[2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] bench : 0.3412 0.3909 +[2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] board : 0.1748 0.2373 +[2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] washing machine: 0.8672 0.9295 +[2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] mirror : 0.3549 0.4322 +[2025-03-11 04:25:52,341 INFO hook.py line 689 2389709] copier : 0.8343 0.8767 +[2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] sofa chair : 0.0428 0.0495 +[2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] file cabinet : 0.4139 0.4527 +[2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] fan : 0.2894 0.4598 +[2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] laptop : 0.4419 0.6891 +[2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] shower : 0.2152 0.2257 +[2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] paper : 0.0402 0.0486 +[2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] person : 0.3319 0.6263 +[2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] paper towel dispenser: 0.6856 0.7984 +[2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] oven : 0.0246 0.0301 +[2025-03-11 04:25:52,342 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] plate : 0.0325 0.1032 +[2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] blackboard : 0.5712 0.5997 +[2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] piano : 0.6385 0.8435 +[2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] suitcase : 0.4684 0.5183 +[2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] rail : 0.0637 0.0735 +[2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] radiator : 0.6155 0.6503 +[2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] recycling bin : 0.4600 0.5056 +[2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] container : 0.0032 0.0054 +[2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] wardrobe : 0.1885 0.2627 +[2025-03-11 04:25:52,343 INFO hook.py line 689 2389709] soap dispenser : 0.7747 0.7974 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] telephone : 0.3184 0.4878 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] bucket : 0.1840 0.1960 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] clock : 0.2909 0.3813 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] light : 0.0455 0.0536 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] pipe : 0.0937 0.1744 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] clothes dryer : 0.3669 0.3747 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] guitar : 0.5401 0.9053 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] toilet paper holder: 0.0074 0.0210 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:25:52,344 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] ladder : 0.1721 0.1927 +[2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] bathroom stall : 0.3005 0.3260 +[2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] shower wall : 0.3967 0.5002 +[2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] cup : 0.1989 0.3843 +[2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] jacket : 0.1543 0.2272 +[2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] storage bin : 0.0022 0.0023 +[2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] coffee maker : 0.7353 0.9424 +[2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] dishwasher : 0.3117 0.4416 +[2025-03-11 04:25:52,345 INFO hook.py line 689 2389709] paper towel roll: 0.3101 0.3985 +[2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] mat : 0.1739 0.1808 +[2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] windowsill : 0.0597 0.0610 +[2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] bar : 0.0937 0.1416 +[2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] toaster : 0.0069 0.0114 +[2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] bulletin board : 0.1217 0.1524 +[2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] ironing board : 0.0519 0.0558 +[2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] fireplace : 0.4173 0.4305 +[2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] soap dish : 0.3194 0.4509 +[2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] kitchen counter: 0.5608 0.7482 +[2025-03-11 04:25:52,346 INFO hook.py line 689 2389709] doorframe : 0.3987 0.6460 +[2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3250 0.4078 +[2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] mini fridge : 0.2335 0.2380 +[2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] fire extinguisher: 0.0979 0.1130 +[2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] ball : 0.5807 0.7456 +[2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] shower curtain rod: 0.4400 0.8290 +[2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] water cooler : 0.2004 0.2181 +[2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] paper cutter : 0.2451 0.2950 +[2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] tray : 0.0037 0.0057 +[2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] shower door : 0.1630 0.1895 +[2025-03-11 04:25:52,347 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] ledge : 0.0473 0.0658 +[2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] toaster oven : 0.0014 0.0014 +[2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] mouse : 0.0599 0.4079 +[2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7482 0.8139 +[2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] cart : 0.0998 0.1236 +[2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] scale : 0.5113 0.9337 +[2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] tissue box : 0.2555 0.4342 +[2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] light switch : 0.0218 0.0818 +[2025-03-11 04:25:52,348 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] power outlet : 0.1527 0.4689 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] decoration : 0.1024 0.1208 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] sign : 0.0036 0.0050 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] projector : 0.1101 0.8737 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] closet door : 0.0329 0.0361 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] vacuum cleaner : 0.8544 0.8868 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] plunger : 0.5513 0.9556 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] headphones : 0.0093 0.0122 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] dish rack : 0.8325 0.8386 +[2025-03-11 04:25:52,349 INFO hook.py line 689 2389709] broom : 0.0261 0.0646 +[2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] range hood : 0.7545 0.8189 +[2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] dustpan : 0.0768 0.2365 +[2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] handicap bar : 0.0193 0.2080 +[2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] shower floor : 0.9042 0.9639 +[2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:25:52,350 INFO hook.py line 689 2389709] mailbox : 0.1167 0.1168 +[2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] bowl : 0.0763 0.0865 +[2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] paper bag : 0.0408 0.0738 +[2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] divider : 0.4028 0.4971 +[2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] bathroom counter: 0.3529 0.4294 +[2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] object : 0.0387 0.0826 +[2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] bathroom vanity: 0.4856 0.8009 +[2025-03-11 04:25:52,351 INFO hook.py line 689 2389709] closet wall : 0.0424 0.0629 +[2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] laundry hamper : 0.0104 0.0125 +[2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] bathroom stall door: 0.5296 0.7647 +[2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] ceiling light : 0.2214 0.3399 +[2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] trash bin : 0.3235 0.4290 +[2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] dumbbell : 0.3049 0.9594 +[2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] stair rail : 0.1463 0.1736 +[2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] tube : 0.1386 0.2491 +[2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] bathroom cabinet: 0.2541 0.3750 +[2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] closet rod : 0.3308 0.8824 +[2025-03-11 04:25:52,352 INFO hook.py line 689 2389709] coffee kettle : 0.1085 0.1747 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] shower head : 0.2294 0.3530 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] folded chair : 0.1770 0.3889 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] fire alarm : 0.0568 0.4286 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] calendar : 0.0032 0.0070 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:25:52,353 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:25:52,354 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:25:52,354 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 04:25:52,354 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:25:52,354 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2846/0.3787/0.8033. +[2025-03-11 04:25:52,356 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:25:52,373 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:25:52,374 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:26:22,480 INFO hook.py line 566 2389709] Train: [58/100][50/300] Data 0.002 (0.002) Batch 0.443 (0.484) Remain 01:43:45 loss: 0.7122 Lr: 2.11737e-03 +[2025-03-11 04:26:47,486 INFO hook.py line 566 2389709] Train: [58/100][100/300] Data 0.002 (0.002) Batch 0.477 (0.493) Remain 01:45:04 loss: 0.3883 Lr: 2.10376e-03 +[2025-03-11 04:27:12,033 INFO hook.py line 566 2389709] Train: [58/100][150/300] Data 0.002 (0.002) Batch 0.536 (0.492) Remain 01:44:32 loss: 0.6846 Lr: 2.09016e-03 +[2025-03-11 04:27:36,562 INFO hook.py line 566 2389709] Train: [58/100][200/300] Data 0.003 (0.002) Batch 0.476 (0.492) Remain 01:44:03 loss: 0.6504 Lr: 2.07658e-03 +[2025-03-11 04:28:01,370 INFO hook.py line 566 2389709] Train: [58/100][250/300] Data 0.002 (0.002) Batch 0.540 (0.493) Remain 01:43:50 loss: 0.7110 Lr: 2.06301e-03 +[2025-03-11 04:28:25,576 INFO hook.py line 566 2389709] Train: [58/100][300/300] Data 0.002 (0.002) Batch 0.496 (0.491) Remain 01:43:08 loss: 0.4888 Lr: 2.04945e-03 +[2025-03-11 04:28:25,577 INFO misc.py line 135 2389709] Train result: loss: 0.6459 +[2025-03-11 04:28:25,669 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:29:18,608 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.6030 +[2025-03-11 04:29:18,718 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5492 +[2025-03-11 04:29:18,754 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5410 +[2025-03-11 04:29:18,807 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5365 +[2025-03-11 04:29:18,841 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8044 +[2025-03-11 04:29:18,900 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9751 +[2025-03-11 04:29:18,951 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8058 +[2025-03-11 04:29:18,985 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2995 +[2025-03-11 04:29:19,030 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3025 +[2025-03-11 04:29:19,070 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9267 +[2025-03-11 04:29:19,120 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1201 +[2025-03-11 04:29:19,157 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2270 +[2025-03-11 04:29:19,206 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0994 +[2025-03-11 04:29:19,247 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5829 +[2025-03-11 04:29:19,284 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0587 +[2025-03-11 04:29:19,331 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1200 +[2025-03-11 04:29:19,368 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4462 +[2025-03-11 04:29:19,413 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7560 +[2025-03-11 04:29:19,461 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.6377 +[2025-03-11 04:29:19,513 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5442 +[2025-03-11 04:29:19,552 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7521 +[2025-03-11 04:29:19,592 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.3287 +[2025-03-11 04:29:19,624 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4245 +[2025-03-11 04:29:19,680 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0512 +[2025-03-11 04:29:19,726 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6743 +[2025-03-11 04:29:19,768 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3310 +[2025-03-11 04:29:19,825 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0936 +[2025-03-11 04:29:19,864 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8134 +[2025-03-11 04:29:19,894 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1272 +[2025-03-11 04:29:19,951 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2492 +[2025-03-11 04:29:20,011 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5882 +[2025-03-11 04:29:20,050 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0645 +[2025-03-11 04:29:20,108 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7888 +[2025-03-11 04:29:20,147 INFO hook.py line 748 2389709] Test: [34/78] Loss 3.5221 +[2025-03-11 04:29:20,184 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4127 +[2025-03-11 04:29:20,223 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5143 +[2025-03-11 04:29:20,263 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4403 +[2025-03-11 04:29:20,298 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8885 +[2025-03-11 04:29:20,366 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.1400 +[2025-03-11 04:29:20,419 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5389 +[2025-03-11 04:29:20,464 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4869 +[2025-03-11 04:29:20,493 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4098 +[2025-03-11 04:29:20,528 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8646 +[2025-03-11 04:29:20,590 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8713 +[2025-03-11 04:29:20,626 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.2355 +[2025-03-11 04:29:20,678 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1789 +[2025-03-11 04:29:20,722 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.4694 +[2025-03-11 04:29:20,756 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.8830 +[2025-03-11 04:29:20,787 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4325 +[2025-03-11 04:29:20,820 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6345 +[2025-03-11 04:29:20,850 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9128 +[2025-03-11 04:29:20,885 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6866 +[2025-03-11 04:29:20,912 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4637 +[2025-03-11 04:29:20,947 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.4744 +[2025-03-11 04:29:20,984 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3840 +[2025-03-11 04:29:21,026 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0754 +[2025-03-11 04:29:21,059 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2270 +[2025-03-11 04:29:21,084 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0298 +[2025-03-11 04:29:21,122 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8320 +[2025-03-11 04:29:21,158 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6039 +[2025-03-11 04:29:21,182 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9855 +[2025-03-11 04:29:21,217 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9098 +[2025-03-11 04:29:21,254 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2824 +[2025-03-11 04:29:21,312 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9686 +[2025-03-11 04:29:21,339 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4257 +[2025-03-11 04:29:21,382 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9161 +[2025-03-11 04:29:21,421 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1668 +[2025-03-11 04:29:21,458 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0430 +[2025-03-11 04:29:21,488 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3333 +[2025-03-11 04:29:21,548 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.5073 +[2025-03-11 04:29:21,592 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5617 +[2025-03-11 04:29:21,646 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4652 +[2025-03-11 04:29:21,701 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5731 +[2025-03-11 04:29:21,744 INFO hook.py line 748 2389709] Test: [74/78] Loss 4.0548 +[2025-03-11 04:29:21,795 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5133 +[2025-03-11 04:29:21,823 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0727 +[2025-03-11 04:29:21,882 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4945 +[2025-03-11 04:29:21,908 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8308 +[2025-03-11 04:29:23,222 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:29:23,223 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:29:23,223 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] wall : 0.7747 0.9169 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] chair : 0.6997 0.8348 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] floor : 0.9566 0.9815 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] table : 0.5971 0.7462 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] door : 0.6325 0.8007 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] couch : 0.7708 0.9270 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] cabinet : 0.2836 0.3496 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] shelf : 0.3149 0.4318 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] desk : 0.5443 0.7796 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] office chair : 0.1832 0.3150 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] bed : 0.7670 0.8995 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] pillow : 0.5344 0.7053 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] sink : 0.6369 0.7313 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] picture : 0.3783 0.5085 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] window : 0.5694 0.7101 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] toilet : 0.9378 0.9608 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] bookshelf : 0.4509 0.6369 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] monitor : 0.8125 0.8733 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] curtain : 0.6539 0.8378 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] book : 0.4049 0.7342 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] armchair : 0.6390 0.8586 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] coffee table : 0.5967 0.8900 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] box : 0.2877 0.4416 +[2025-03-11 04:29:23,223 INFO hook.py line 689 2389709] refrigerator : 0.6311 0.6854 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] lamp : 0.6423 0.7104 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] kitchen cabinet: 0.6327 0.7778 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] towel : 0.4032 0.5434 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] clothes : 0.1905 0.4290 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] tv : 0.8340 0.9121 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] nightstand : 0.6326 0.8392 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] counter : 0.2744 0.3974 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] dresser : 0.2903 0.3841 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] stool : 0.4845 0.5967 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] plant : 0.3369 0.3468 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] ceiling : 0.9214 0.9557 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] bathtub : 0.8609 0.9120 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] end table : 0.1519 0.2398 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] dining table : 0.0467 0.1183 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] keyboard : 0.4216 0.5350 +[2025-03-11 04:29:23,224 INFO hook.py line 689 2389709] bag : 0.1958 0.2896 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] backpack : 0.5728 0.7136 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] toilet paper : 0.4905 0.6111 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] printer : 0.4722 0.7449 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] tv stand : 0.7292 0.8550 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] whiteboard : 0.4684 0.7388 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] blanket : 0.0281 0.0365 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] shower curtain : 0.6598 0.7863 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] trash can : 0.6471 0.7902 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] closet : 0.0892 0.1010 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] stairs : 0.4938 0.5998 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] microwave : 0.4412 0.6239 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] stove : 0.6323 0.8335 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] shoe : 0.4037 0.4641 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] computer tower : 0.4861 0.8398 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] bottle : 0.0918 0.1530 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] ottoman : 0.2182 0.2492 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] bench : 0.3400 0.4449 +[2025-03-11 04:29:23,225 INFO hook.py line 689 2389709] board : 0.1618 0.2292 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] washing machine: 0.8011 0.9196 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] mirror : 0.3602 0.4277 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] copier : 0.7306 0.9086 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] sofa chair : 0.1037 0.1387 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] file cabinet : 0.4229 0.5805 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] fan : 0.2432 0.2723 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] laptop : 0.5482 0.8074 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] shower : 0.2463 0.2866 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] paper : 0.0422 0.0465 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] person : 0.0981 0.6580 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] paper towel dispenser: 0.5888 0.7694 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] oven : 0.0000 0.0000 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] blackboard : 0.5533 0.5768 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] piano : 0.3961 0.7670 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] suitcase : 0.5340 0.7636 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] rail : 0.0233 0.0260 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] radiator : 0.6016 0.7017 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] recycling bin : 0.4715 0.6964 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] wardrobe : 0.1610 0.1809 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] soap dispenser : 0.7951 0.8425 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] telephone : 0.3210 0.4202 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] bucket : 0.3584 0.5822 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] clock : 0.3077 0.3487 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] stand : 0.0834 0.1505 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] light : 0.0295 0.0450 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] laundry basket : 0.0446 0.0474 +[2025-03-11 04:29:23,226 INFO hook.py line 689 2389709] pipe : 0.0000 0.0000 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] clothes dryer : 0.3983 0.4166 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] guitar : 0.0000 0.0000 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] ladder : 0.4108 0.4597 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] bathroom stall : 0.3749 0.4630 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] shower wall : 0.4488 0.5368 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] cup : 0.2309 0.4047 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] jacket : 0.0843 0.1561 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] coffee maker : 0.8507 0.9913 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] dishwasher : 0.4155 0.5647 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] paper towel roll: 0.1990 0.2219 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] mat : 0.1699 0.1831 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] windowsill : 0.1200 0.1256 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] bar : 0.1528 0.2197 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] toaster : 0.0172 0.0226 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] bulletin board : 0.2019 0.4768 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] ironing board : 0.0720 0.0797 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] fireplace : 0.4432 0.4585 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] soap dish : 0.3554 0.4834 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] kitchen counter: 0.5408 0.6982 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] doorframe : 0.3906 0.6203 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4701 0.5652 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] mini fridge : 0.3984 0.5223 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] fire extinguisher: 0.0000 0.0000 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] ball : 0.2749 0.6276 +[2025-03-11 04:29:23,227 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] shower curtain rod: 0.3496 0.8855 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] water cooler : 0.4684 0.5098 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] paper cutter : 0.2348 0.2630 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] tray : 0.0076 0.0095 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] shower door : 0.1707 0.1961 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] pillar : 0.0030 0.0030 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] ledge : 0.0382 0.0434 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] toaster oven : 0.0220 0.0220 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] mouse : 0.0433 0.2398 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6843 0.8004 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] cart : 0.1491 0.1735 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] scale : 0.5293 0.8778 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] tissue box : 0.2948 0.4350 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] light switch : 0.0179 0.0581 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] power outlet : 0.2756 0.3008 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] decoration : 0.4231 0.4822 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] sign : 0.0382 0.0453 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] projector : 0.0837 0.3604 +[2025-03-11 04:29:23,228 INFO hook.py line 689 2389709] closet door : 0.0279 0.0348 +[2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] vacuum cleaner : 0.8218 0.9669 +[2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] plunger : 0.4959 0.9839 +[2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] headphones : 0.0155 0.0189 +[2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] dish rack : 0.6835 0.7212 +[2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] broom : 0.0630 0.1220 +[2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] range hood : 0.5575 0.6008 +[2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] dustpan : 0.0013 0.0019 +[2025-03-11 04:29:23,229 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] handicap bar : 0.0521 0.9425 +[2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] shower floor : 0.9417 0.9867 +[2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] water pitcher : 0.0030 0.0112 +[2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] mailbox : 0.2127 0.2144 +[2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] paper bag : 0.0618 0.1074 +[2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:29:23,230 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] divider : 0.4431 0.5582 +[2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] bathroom counter: 0.3197 0.3951 +[2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] object : 0.0294 0.0457 +[2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] bathroom vanity: 0.4738 0.8729 +[2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] closet wall : 0.0422 0.0553 +[2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] laundry hamper : 0.1602 0.2233 +[2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] bathroom stall door: 0.3873 0.6889 +[2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] ceiling light : 0.3141 0.4925 +[2025-03-11 04:29:23,231 INFO hook.py line 689 2389709] trash bin : 0.3485 0.4875 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] dumbbell : 0.7904 0.9781 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] stair rail : 0.1711 0.1987 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] tube : 0.0754 0.0887 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] bathroom cabinet: 0.0205 0.0206 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] closet rod : 0.4185 0.8758 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] coffee kettle : 0.1000 0.1107 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] shower head : 0.2686 0.3377 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] keyboard piano : 0.0956 0.1186 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] case of water bottles: 0.4107 0.4574 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:29:23,232 INFO hook.py line 689 2389709] mattress : 0.0025 0.0025 +[2025-03-11 04:29:23,232 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:29:23,232 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2867/0.3802/0.8056. +[2025-03-11 04:29:23,233 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:29:23,237 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:29:23,237 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:29:53,734 INFO hook.py line 566 2389709] Train: [59/100][50/300] Data 0.004 (0.002) Batch 0.483 (0.492) Remain 01:42:53 loss: 0.6775 Lr: 2.03590e-03 +[2025-03-11 04:30:18,372 INFO hook.py line 566 2389709] Train: [59/100][100/300] Data 0.002 (0.002) Batch 0.470 (0.492) Remain 01:42:34 loss: 0.9320 Lr: 2.02237e-03 +[2025-03-11 04:30:43,082 INFO hook.py line 566 2389709] Train: [59/100][150/300] Data 0.004 (0.002) Batch 0.404 (0.493) Remain 01:42:17 loss: 0.6063 Lr: 2.00886e-03 +[2025-03-11 04:31:07,443 INFO hook.py line 566 2389709] Train: [59/100][200/300] Data 0.002 (0.002) Batch 0.455 (0.492) Remain 01:41:34 loss: 0.6000 Lr: 1.99536e-03 +[2025-03-11 04:31:31,980 INFO hook.py line 566 2389709] Train: [59/100][250/300] Data 0.002 (0.002) Batch 0.504 (0.491) Remain 01:41:08 loss: 0.4402 Lr: 1.98187e-03 +[2025-03-11 04:31:56,189 INFO hook.py line 566 2389709] Train: [59/100][300/300] Data 0.001 (0.002) Batch 0.451 (0.490) Remain 01:40:28 loss: 0.7859 Lr: 1.96840e-03 +[2025-03-11 04:31:56,190 INFO misc.py line 135 2389709] Train result: loss: 0.6366 +[2025-03-11 04:31:56,264 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:32:56,894 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4321 +[2025-03-11 04:32:56,985 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4748 +[2025-03-11 04:32:57,045 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4692 +[2025-03-11 04:32:57,098 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4640 +[2025-03-11 04:32:57,142 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8484 +[2025-03-11 04:32:57,202 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0797 +[2025-03-11 04:32:57,255 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.6738 +[2025-03-11 04:32:57,288 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4661 +[2025-03-11 04:32:57,332 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3096 +[2025-03-11 04:32:57,370 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.5060 +[2025-03-11 04:32:57,422 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1382 +[2025-03-11 04:32:57,462 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.5566 +[2025-03-11 04:32:57,511 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.8885 +[2025-03-11 04:32:57,569 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5650 +[2025-03-11 04:32:57,606 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2001 +[2025-03-11 04:32:57,654 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.4754 +[2025-03-11 04:32:57,694 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3339 +[2025-03-11 04:32:57,741 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0059 +[2025-03-11 04:32:57,794 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5389 +[2025-03-11 04:32:57,831 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5642 +[2025-03-11 04:32:57,881 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7582 +[2025-03-11 04:32:57,926 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0659 +[2025-03-11 04:32:57,958 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.1809 +[2025-03-11 04:32:58,012 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9594 +[2025-03-11 04:32:58,066 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5170 +[2025-03-11 04:32:58,114 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.6083 +[2025-03-11 04:32:58,172 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9498 +[2025-03-11 04:32:58,212 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5410 +[2025-03-11 04:32:58,244 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0869 +[2025-03-11 04:32:58,303 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5317 +[2025-03-11 04:32:58,363 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6870 +[2025-03-11 04:32:58,403 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1071 +[2025-03-11 04:32:58,461 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8405 +[2025-03-11 04:32:58,506 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6894 +[2025-03-11 04:32:58,546 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1337 +[2025-03-11 04:32:58,583 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3515 +[2025-03-11 04:32:58,628 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6381 +[2025-03-11 04:32:58,666 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8380 +[2025-03-11 04:32:58,733 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2841 +[2025-03-11 04:32:58,784 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6466 +[2025-03-11 04:32:58,832 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2870 +[2025-03-11 04:32:58,860 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4098 +[2025-03-11 04:32:58,895 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9197 +[2025-03-11 04:32:58,957 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9148 +[2025-03-11 04:32:58,993 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4801 +[2025-03-11 04:32:59,040 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0128 +[2025-03-11 04:32:59,081 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7279 +[2025-03-11 04:32:59,122 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9940 +[2025-03-11 04:32:59,158 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3553 +[2025-03-11 04:32:59,191 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8546 +[2025-03-11 04:32:59,226 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9665 +[2025-03-11 04:32:59,266 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7478 +[2025-03-11 04:32:59,298 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.1927 +[2025-03-11 04:32:59,333 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.5804 +[2025-03-11 04:32:59,372 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4149 +[2025-03-11 04:32:59,413 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0125 +[2025-03-11 04:32:59,451 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.6868 +[2025-03-11 04:32:59,477 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.2367 +[2025-03-11 04:32:59,519 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9950 +[2025-03-11 04:32:59,560 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6686 +[2025-03-11 04:32:59,590 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7342 +[2025-03-11 04:32:59,629 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8856 +[2025-03-11 04:32:59,671 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9170 +[2025-03-11 04:32:59,728 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7651 +[2025-03-11 04:32:59,766 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0398 +[2025-03-11 04:32:59,809 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7846 +[2025-03-11 04:32:59,852 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9647 +[2025-03-11 04:32:59,893 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2086 +[2025-03-11 04:32:59,926 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2857 +[2025-03-11 04:32:59,987 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2132 +[2025-03-11 04:33:00,031 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4750 +[2025-03-11 04:33:00,089 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7208 +[2025-03-11 04:33:00,151 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7940 +[2025-03-11 04:33:00,195 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.5967 +[2025-03-11 04:33:00,245 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7705 +[2025-03-11 04:33:00,274 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.3820 +[2025-03-11 04:33:00,337 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6185 +[2025-03-11 04:33:00,367 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8908 +[2025-03-11 04:33:01,736 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:33:01,737 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:33:01,737 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:33:01,737 INFO hook.py line 689 2389709] wall : 0.7877 0.9237 +[2025-03-11 04:33:01,737 INFO hook.py line 689 2389709] chair : 0.6576 0.7507 +[2025-03-11 04:33:01,737 INFO hook.py line 689 2389709] floor : 0.9569 0.9802 +[2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] table : 0.6487 0.7431 +[2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] door : 0.6315 0.7919 +[2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] couch : 0.7815 0.9170 +[2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] cabinet : 0.3646 0.6477 +[2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] shelf : 0.4269 0.5590 +[2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] desk : 0.5607 0.7960 +[2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] office chair : 0.2124 0.4759 +[2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] bed : 0.7647 0.8407 +[2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] pillow : 0.5625 0.7882 +[2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] sink : 0.6675 0.7778 +[2025-03-11 04:33:01,738 INFO hook.py line 689 2389709] picture : 0.3277 0.3883 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] window : 0.5606 0.7646 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] toilet : 0.9365 0.9642 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] bookshelf : 0.4822 0.6786 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] monitor : 0.8475 0.9065 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] curtain : 0.6509 0.8203 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] book : 0.4619 0.6940 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] armchair : 0.5319 0.8062 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] coffee table : 0.6498 0.8164 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] box : 0.3098 0.4020 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] refrigerator : 0.6093 0.6513 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] lamp : 0.6863 0.7865 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] kitchen cabinet: 0.6005 0.6525 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] towel : 0.4877 0.6175 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] clothes : 0.1990 0.3950 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] tv : 0.8220 0.9040 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] nightstand : 0.7149 0.8131 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] counter : 0.2294 0.4412 +[2025-03-11 04:33:01,739 INFO hook.py line 689 2389709] dresser : 0.3587 0.4176 +[2025-03-11 04:33:01,740 INFO hook.py line 689 2389709] stool : 0.4858 0.6791 +[2025-03-11 04:33:01,740 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:33:01,740 INFO hook.py line 689 2389709] plant : 0.6561 0.9099 +[2025-03-11 04:33:01,740 INFO hook.py line 689 2389709] ceiling : 0.9332 0.9673 +[2025-03-11 04:33:01,740 INFO hook.py line 689 2389709] bathtub : 0.8850 0.9100 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] end table : 0.1523 0.2482 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] dining table : 0.0807 0.1345 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] keyboard : 0.3844 0.6197 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] bag : 0.0389 0.0471 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] backpack : 0.5615 0.7864 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] toilet paper : 0.4177 0.5052 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] printer : 0.4434 0.6715 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] tv stand : 0.3646 0.3740 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] whiteboard : 0.5157 0.6344 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] blanket : 0.0390 0.0757 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] shower curtain : 0.6099 0.6777 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] trash can : 0.6324 0.7743 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] closet : 0.1108 0.1521 +[2025-03-11 04:33:01,741 INFO hook.py line 689 2389709] stairs : 0.5272 0.6133 +[2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] microwave : 0.5331 0.6818 +[2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] stove : 0.6402 0.8462 +[2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] shoe : 0.5007 0.6360 +[2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] computer tower : 0.4593 0.8029 +[2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] bottle : 0.1724 0.3434 +[2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] ottoman : 0.3198 0.3478 +[2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] bench : 0.3235 0.3671 +[2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] board : 0.1911 0.3428 +[2025-03-11 04:33:01,742 INFO hook.py line 689 2389709] washing machine: 0.8682 0.9120 +[2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] mirror : 0.3762 0.4980 +[2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] copier : 0.7825 0.9299 +[2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] sofa chair : 0.1887 0.2937 +[2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] file cabinet : 0.4110 0.6353 +[2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] fan : 0.3689 0.4294 +[2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] laptop : 0.3899 0.6194 +[2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] shower : 0.3187 0.3943 +[2025-03-11 04:33:01,743 INFO hook.py line 689 2389709] paper : 0.0539 0.1266 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] person : 0.2738 0.4886 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] paper towel dispenser: 0.4965 0.8524 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] oven : 0.0230 0.0239 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] blackboard : 0.5514 0.6519 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] piano : 0.3476 0.6583 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] suitcase : 0.6306 0.8303 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] rail : 0.0401 0.0425 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] radiator : 0.5607 0.6805 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] recycling bin : 0.4546 0.6461 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] container : 0.0011 0.0012 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] wardrobe : 0.1801 0.2415 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] soap dispenser : 0.7737 0.8999 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] telephone : 0.3261 0.6159 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] bucket : 0.2710 0.3793 +[2025-03-11 04:33:01,744 INFO hook.py line 689 2389709] clock : 0.2910 0.3743 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] light : 0.0210 0.0251 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] laundry basket : 0.0101 0.0129 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] pipe : 0.0651 0.1053 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] clothes dryer : 0.5251 0.5410 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] guitar : 0.6259 0.8698 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] toilet paper holder: 0.0298 0.1202 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] column : 0.0064 0.0088 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] ladder : 0.5173 0.6295 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] bathroom stall : 0.3786 0.4435 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] shower wall : 0.4393 0.5164 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] cup : 0.2477 0.3589 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] jacket : 0.1700 0.2524 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] storage bin : 0.0096 0.0135 +[2025-03-11 04:33:01,745 INFO hook.py line 689 2389709] coffee maker : 0.8772 0.9872 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] dishwasher : 0.2415 0.3181 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] paper towel roll: 0.2990 0.3593 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] mat : 0.2412 0.2571 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] windowsill : 0.0373 0.0399 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] bar : 0.1543 0.2366 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] toaster : 0.0306 0.0341 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] bulletin board : 0.3027 0.3463 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] ironing board : 0.0819 0.0899 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] fireplace : 0.6300 0.6586 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] soap dish : 0.3291 0.5472 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] kitchen counter: 0.4504 0.5233 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] doorframe : 0.3228 0.3713 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4179 0.5386 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] mini fridge : 0.1761 0.1791 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] fire extinguisher: 0.1233 0.1590 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] ball : 0.6278 0.8656 +[2025-03-11 04:33:01,746 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] shower curtain rod: 0.3559 0.8830 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] water cooler : 0.6726 0.7121 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] paper cutter : 0.2550 0.3853 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] tray : 0.0539 0.1108 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] shower door : 0.2449 0.2993 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] pillar : 0.0016 0.0017 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] ledge : 0.0349 0.0533 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] toaster oven : 0.0180 0.0181 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] mouse : 0.0632 0.3067 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6106 0.6769 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:33:01,747 INFO hook.py line 689 2389709] cart : 0.2393 0.2564 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] scale : 0.2798 0.6075 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] tissue box : 0.1935 0.2440 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] light switch : 0.0209 0.1031 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] power outlet : 0.2717 0.3493 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] decoration : 0.2087 0.6662 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] projector : 0.0000 0.0000 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] closet door : 0.0340 0.0377 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] vacuum cleaner : 0.8394 0.9666 +[2025-03-11 04:33:01,748 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] plunger : 0.8213 0.9935 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] headphones : 0.0271 0.1019 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] dish rack : 0.6638 0.9290 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] broom : 0.0952 0.1089 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] range hood : 0.7198 0.9324 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] dustpan : 0.0079 0.0115 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] handicap bar : 0.0649 0.9120 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] shower floor : 0.1212 0.1217 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:33:01,749 INFO hook.py line 689 2389709] mailbox : 0.3706 0.3873 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] bowl : 0.1232 0.1904 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] paper bag : 0.0599 0.2606 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] divider : 0.4894 0.5752 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] bathroom counter: 0.1390 0.1797 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] object : 0.0314 0.0489 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] bathroom vanity: 0.4822 0.6733 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] closet wall : 0.1066 0.1445 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] laundry hamper : 0.0425 0.0513 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] bathroom stall door: 0.4130 0.7462 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] ceiling light : 0.3370 0.4673 +[2025-03-11 04:33:01,750 INFO hook.py line 689 2389709] trash bin : 0.2587 0.3148 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] dumbbell : 0.5652 0.9689 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] stair rail : 0.2024 0.2497 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] tube : 0.0734 0.0801 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] bathroom cabinet: 0.3450 0.4235 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] closet rod : 0.1807 0.8562 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] coffee kettle : 0.2205 0.2892 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] shower head : 0.2377 0.2579 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] case of water bottles: 0.0051 0.0051 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:33:01,751 INFO hook.py line 689 2389709] mattress : 0.0619 0.0642 +[2025-03-11 04:33:01,751 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:33:01,754 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2925/0.3886/0.8121. +[2025-03-11 04:33:01,755 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:33:01,760 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:33:01,760 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:33:31,812 INFO hook.py line 566 2389709] Train: [60/100][50/300] Data 0.003 (0.003) Batch 0.470 (0.493) Remain 01:40:33 loss: 0.5755 Lr: 1.95495e-03 +[2025-03-11 04:33:57,111 INFO hook.py line 566 2389709] Train: [60/100][100/300] Data 0.003 (0.002) Batch 0.611 (0.499) Remain 01:41:33 loss: 0.4277 Lr: 1.94151e-03 +[2025-03-11 04:34:21,782 INFO hook.py line 566 2389709] Train: [60/100][150/300] Data 0.002 (0.002) Batch 0.542 (0.497) Remain 01:40:43 loss: 0.4586 Lr: 1.92809e-03 +[2025-03-11 04:34:46,455 INFO hook.py line 566 2389709] Train: [60/100][200/300] Data 0.002 (0.002) Batch 0.429 (0.496) Remain 01:40:06 loss: 0.5589 Lr: 1.91469e-03 +[2025-03-11 04:35:11,180 INFO hook.py line 566 2389709] Train: [60/100][250/300] Data 0.002 (0.002) Batch 0.546 (0.496) Remain 01:39:37 loss: 0.6483 Lr: 1.90130e-03 +[2025-03-11 04:35:35,169 INFO hook.py line 566 2389709] Train: [60/100][300/300] Data 0.001 (0.002) Batch 0.502 (0.493) Remain 01:38:39 loss: 0.8477 Lr: 1.88793e-03 +[2025-03-11 04:35:35,169 INFO misc.py line 135 2389709] Train result: loss: 0.6377 +[2025-03-11 04:35:35,254 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:36:31,996 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3779 +[2025-03-11 04:36:32,113 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2850 +[2025-03-11 04:36:32,154 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5743 +[2025-03-11 04:36:32,202 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5119 +[2025-03-11 04:36:32,238 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0006 +[2025-03-11 04:36:32,296 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9044 +[2025-03-11 04:36:32,350 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0221 +[2025-03-11 04:36:32,378 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3574 +[2025-03-11 04:36:32,426 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3239 +[2025-03-11 04:36:32,472 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1581 +[2025-03-11 04:36:32,525 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1741 +[2025-03-11 04:36:32,564 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2762 +[2025-03-11 04:36:32,612 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.2628 +[2025-03-11 04:36:32,661 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1026 +[2025-03-11 04:36:32,697 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1153 +[2025-03-11 04:36:32,750 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1004 +[2025-03-11 04:36:32,788 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4814 +[2025-03-11 04:36:32,821 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9121 +[2025-03-11 04:36:32,863 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1135 +[2025-03-11 04:36:32,900 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6647 +[2025-03-11 04:36:32,949 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6902 +[2025-03-11 04:36:33,000 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7013 +[2025-03-11 04:36:33,032 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.1951 +[2025-03-11 04:36:33,081 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9943 +[2025-03-11 04:36:33,125 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5909 +[2025-03-11 04:36:33,172 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5955 +[2025-03-11 04:36:33,226 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7380 +[2025-03-11 04:36:33,262 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8309 +[2025-03-11 04:36:33,303 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1112 +[2025-03-11 04:36:33,362 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4707 +[2025-03-11 04:36:33,423 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5041 +[2025-03-11 04:36:33,460 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1544 +[2025-03-11 04:36:33,518 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7851 +[2025-03-11 04:36:33,561 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.9644 +[2025-03-11 04:36:33,601 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3265 +[2025-03-11 04:36:33,641 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5509 +[2025-03-11 04:36:33,679 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6534 +[2025-03-11 04:36:33,714 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8159 +[2025-03-11 04:36:33,781 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.3461 +[2025-03-11 04:36:33,846 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4437 +[2025-03-11 04:36:33,891 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3361 +[2025-03-11 04:36:33,920 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.7067 +[2025-03-11 04:36:33,963 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1995 +[2025-03-11 04:36:34,023 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9629 +[2025-03-11 04:36:34,062 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.1386 +[2025-03-11 04:36:34,125 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0276 +[2025-03-11 04:36:34,165 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9738 +[2025-03-11 04:36:34,203 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0757 +[2025-03-11 04:36:34,237 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.2739 +[2025-03-11 04:36:34,274 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8447 +[2025-03-11 04:36:34,304 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9591 +[2025-03-11 04:36:34,343 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5490 +[2025-03-11 04:36:34,371 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2693 +[2025-03-11 04:36:34,410 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.4310 +[2025-03-11 04:36:34,452 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2898 +[2025-03-11 04:36:34,496 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1643 +[2025-03-11 04:36:34,533 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9399 +[2025-03-11 04:36:34,563 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9962 +[2025-03-11 04:36:34,604 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9959 +[2025-03-11 04:36:34,640 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3035 +[2025-03-11 04:36:34,667 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.1923 +[2025-03-11 04:36:34,703 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0566 +[2025-03-11 04:36:34,744 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1683 +[2025-03-11 04:36:34,801 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8117 +[2025-03-11 04:36:34,829 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3673 +[2025-03-11 04:36:34,876 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9039 +[2025-03-11 04:36:34,918 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9591 +[2025-03-11 04:36:34,956 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1565 +[2025-03-11 04:36:34,990 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3920 +[2025-03-11 04:36:35,055 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2827 +[2025-03-11 04:36:35,098 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8615 +[2025-03-11 04:36:35,152 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8054 +[2025-03-11 04:36:35,205 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5711 +[2025-03-11 04:36:35,252 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4250 +[2025-03-11 04:36:35,306 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5426 +[2025-03-11 04:36:35,338 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1571 +[2025-03-11 04:36:35,397 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5307 +[2025-03-11 04:36:35,426 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.4609 +[2025-03-11 04:36:36,611 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:36:36,611 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:36:36,611 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] wall : 0.7754 0.9293 +[2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] chair : 0.7035 0.8617 +[2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] floor : 0.9548 0.9778 +[2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] table : 0.6349 0.7317 +[2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] door : 0.6470 0.7802 +[2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] couch : 0.7621 0.8795 +[2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] cabinet : 0.3286 0.4505 +[2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] shelf : 0.3364 0.4147 +[2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] desk : 0.5491 0.7843 +[2025-03-11 04:36:36,611 INFO hook.py line 689 2389709] office chair : 0.1298 0.2007 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] bed : 0.7360 0.8138 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] pillow : 0.4270 0.8652 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] sink : 0.6486 0.7576 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] picture : 0.4025 0.4873 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] window : 0.5668 0.6686 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] toilet : 0.9261 0.9477 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] bookshelf : 0.4631 0.6118 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] monitor : 0.8306 0.8960 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] curtain : 0.7011 0.8454 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] book : 0.4188 0.6192 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] armchair : 0.5798 0.8208 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] coffee table : 0.4911 0.6512 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] box : 0.3003 0.4413 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] refrigerator : 0.6166 0.6628 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] lamp : 0.6686 0.7710 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] kitchen cabinet: 0.7002 0.8271 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] towel : 0.4088 0.6050 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] clothes : 0.1916 0.4552 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] tv : 0.8093 0.8308 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] nightstand : 0.6633 0.8974 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] counter : 0.3121 0.5269 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] dresser : 0.3495 0.5225 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] stool : 0.4424 0.7180 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] plant : 0.6391 0.7008 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] ceiling : 0.9231 0.9677 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] bathtub : 0.8905 0.9259 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] end table : 0.4026 0.7010 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] dining table : 0.0013 0.0014 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] keyboard : 0.4112 0.6317 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] bag : 0.2018 0.3031 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] backpack : 0.6019 0.7006 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] toilet paper : 0.3985 0.4614 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] printer : 0.2909 0.6689 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] tv stand : 0.5651 0.9397 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] whiteboard : 0.4607 0.7328 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] blanket : 0.0397 0.0686 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] shower curtain : 0.6590 0.7158 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] trash can : 0.5663 0.7216 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] closet : 0.1440 0.2201 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] stairs : 0.4334 0.6389 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] microwave : 0.5799 0.7420 +[2025-03-11 04:36:36,612 INFO hook.py line 689 2389709] stove : 0.5371 0.8036 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] shoe : 0.4812 0.6001 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] computer tower : 0.5383 0.8807 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] bottle : 0.0860 0.2373 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] bin : 0.0001 0.0003 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] ottoman : 0.2826 0.4858 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] bench : 0.3244 0.3927 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] board : 0.1588 0.2629 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] washing machine: 0.7363 0.9512 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] mirror : 0.3825 0.5065 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] copier : 0.6921 0.9084 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] sofa chair : 0.0660 0.0796 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] file cabinet : 0.3958 0.5567 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] fan : 0.4324 0.5977 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] laptop : 0.4909 0.7227 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] shower : 0.2137 0.2257 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] paper : 0.0619 0.1157 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] person : 0.3695 0.6499 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] paper towel dispenser: 0.6195 0.8513 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] oven : 0.0684 0.0709 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] blinds : 0.0156 0.0168 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] blackboard : 0.6144 0.7280 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] piano : 0.4607 0.5999 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] suitcase : 0.5963 0.7407 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] rail : 0.0201 0.0218 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] radiator : 0.5851 0.6715 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] recycling bin : 0.3485 0.8002 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] container : 0.0003 0.0009 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] wardrobe : 0.2702 0.4551 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] soap dispenser : 0.7876 0.8478 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] telephone : 0.2918 0.3648 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] bucket : 0.3397 0.5974 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] clock : 0.2298 0.3001 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] light : 0.0211 0.0285 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] laundry basket : 0.0886 0.1114 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] pipe : 0.0279 0.0361 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] clothes dryer : 0.5200 0.5230 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] guitar : 0.6246 0.6645 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] toilet paper holder: 0.0394 0.1379 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] speaker : 0.0300 0.1757 +[2025-03-11 04:36:36,613 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] ladder : 0.4323 0.4661 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] bathroom stall : 0.3832 0.4557 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] shower wall : 0.4831 0.6354 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] cup : 0.1856 0.4210 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] jacket : 0.1366 0.1821 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] storage bin : 0.0049 0.0060 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] coffee maker : 0.8325 0.9869 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] dishwasher : 0.3102 0.5352 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] paper towel roll: 0.3209 0.3986 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] mat : 0.2789 0.3344 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] windowsill : 0.1859 0.2124 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] bar : 0.1678 0.3022 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] toaster : 0.0000 0.0000 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] bulletin board : 0.2434 0.5796 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] ironing board : 0.1871 0.2800 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] fireplace : 0.6052 0.6528 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] soap dish : 0.3471 0.5217 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] kitchen counter: 0.5878 0.6911 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] doorframe : 0.3841 0.4942 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4282 0.5105 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] mini fridge : 0.5001 0.6495 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] fire extinguisher: 0.0065 0.0075 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] ball : 0.5342 0.6254 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] shower curtain rod: 0.3503 0.9143 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] water cooler : 0.0480 0.0497 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] paper cutter : 0.1976 0.2553 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] tray : 0.0403 0.0852 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] shower door : 0.2065 0.2736 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] ledge : 0.0919 0.1167 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] toaster oven : 0.0596 0.0607 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] mouse : 0.0883 0.4375 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6146 0.8403 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] cart : 0.1211 0.1409 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] scale : 0.2013 0.5786 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] tissue box : 0.1972 0.2805 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] light switch : 0.0239 0.0772 +[2025-03-11 04:36:36,614 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] power outlet : 0.1870 0.3460 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] decoration : 0.4485 0.5437 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] projector : 0.0535 0.6768 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] closet door : 0.0582 0.0650 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] vacuum cleaner : 0.8373 0.9701 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] plunger : 0.3616 0.9873 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] headphones : 0.0012 0.0017 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] dish rack : 0.5114 0.6459 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] broom : 0.0844 0.1028 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] range hood : 0.6800 0.8145 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] dustpan : 0.0409 0.1007 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] handicap bar : 0.0407 0.5994 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] shower floor : 0.7528 0.7808 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] mailbox : 0.3789 0.3889 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] bowl : 0.1355 0.1834 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] paper bag : 0.0653 0.1562 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] divider : 0.2745 0.3306 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] bathroom counter: 0.1600 0.1715 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] object : 0.0444 0.1001 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] bathroom vanity: 0.4665 0.7260 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] closet wall : 0.1142 0.1699 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] laundry hamper : 0.0342 0.0461 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] bathroom stall door: 0.4815 0.7150 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] ceiling light : 0.3059 0.3975 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] trash bin : 0.4020 0.4851 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] dumbbell : 0.5485 0.9749 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] stair rail : 0.1720 0.2033 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] tube : 0.0663 0.0867 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] bathroom cabinet: 0.3687 0.4775 +[2025-03-11 04:36:36,615 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] closet rod : 0.4551 0.8299 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] coffee kettle : 0.0020 0.0020 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] shower head : 0.2752 0.3921 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] case of water bottles: 0.0095 0.0095 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] coat rack : 0.1450 0.2350 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] folded chair : 0.0002 0.0003 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:36:36,616 INFO hook.py line 689 2389709] mattress : 0.0012 0.0012 +[2025-03-11 04:36:36,616 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:36:36,616 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2914/0.3980/0.8092. +[2025-03-11 04:36:36,616 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:36:36,634 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:36:36,635 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:37:07,137 INFO hook.py line 566 2389709] Train: [61/100][50/300] Data 0.002 (0.002) Batch 0.492 (0.494) Remain 01:38:28 loss: 0.5395 Lr: 1.87458e-03 +[2025-03-11 04:37:31,773 INFO hook.py line 566 2389709] Train: [61/100][100/300] Data 0.002 (0.002) Batch 0.502 (0.494) Remain 01:37:53 loss: 0.6984 Lr: 1.86152e-03 +[2025-03-11 04:37:56,351 INFO hook.py line 566 2389709] Train: [61/100][150/300] Data 0.002 (0.002) Batch 0.574 (0.493) Remain 01:37:20 loss: 0.4233 Lr: 1.84821e-03 +[2025-03-11 04:38:20,774 INFO hook.py line 566 2389709] Train: [61/100][200/300] Data 0.002 (0.002) Batch 0.521 (0.492) Remain 01:36:42 loss: 0.6603 Lr: 1.83492e-03 +[2025-03-11 04:38:45,102 INFO hook.py line 566 2389709] Train: [61/100][250/300] Data 0.005 (0.002) Batch 0.517 (0.491) Remain 01:36:05 loss: 0.7353 Lr: 1.82165e-03 +[2025-03-11 04:39:09,047 INFO hook.py line 566 2389709] Train: [61/100][300/300] Data 0.001 (0.002) Batch 0.528 (0.489) Remain 01:35:17 loss: 0.6251 Lr: 1.80840e-03 +[2025-03-11 04:39:09,048 INFO misc.py line 135 2389709] Train result: loss: 0.6133 +[2025-03-11 04:39:09,171 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:39:56,895 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4264 +[2025-03-11 04:39:56,943 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.7668 +[2025-03-11 04:39:56,981 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4836 +[2025-03-11 04:39:57,035 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4695 +[2025-03-11 04:39:57,077 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.6931 +[2025-03-11 04:39:57,132 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1437 +[2025-03-11 04:39:57,186 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8862 +[2025-03-11 04:39:57,218 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3044 +[2025-03-11 04:39:57,265 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3177 +[2025-03-11 04:39:57,302 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3549 +[2025-03-11 04:39:57,354 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0867 +[2025-03-11 04:39:57,391 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2547 +[2025-03-11 04:39:57,444 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4253 +[2025-03-11 04:39:57,486 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.2423 +[2025-03-11 04:39:57,525 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0363 +[2025-03-11 04:39:57,574 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0982 +[2025-03-11 04:39:57,613 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2947 +[2025-03-11 04:39:57,654 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8376 +[2025-03-11 04:39:57,701 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.0974 +[2025-03-11 04:39:57,738 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.4868 +[2025-03-11 04:39:57,780 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7797 +[2025-03-11 04:39:57,820 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9392 +[2025-03-11 04:39:57,854 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7418 +[2025-03-11 04:39:57,907 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2894 +[2025-03-11 04:39:57,956 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.2502 +[2025-03-11 04:39:57,998 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.6871 +[2025-03-11 04:39:58,058 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1402 +[2025-03-11 04:39:58,102 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5156 +[2025-03-11 04:39:58,131 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9518 +[2025-03-11 04:39:58,201 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1325 +[2025-03-11 04:39:58,259 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4271 +[2025-03-11 04:39:58,297 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2951 +[2025-03-11 04:39:58,355 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8703 +[2025-03-11 04:39:58,394 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.9871 +[2025-03-11 04:39:58,431 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5272 +[2025-03-11 04:39:58,475 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4891 +[2025-03-11 04:39:58,517 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.2257 +[2025-03-11 04:39:58,549 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7440 +[2025-03-11 04:39:58,620 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7331 +[2025-03-11 04:39:58,666 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.8088 +[2025-03-11 04:39:58,717 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3065 +[2025-03-11 04:39:58,753 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4941 +[2025-03-11 04:39:58,792 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2151 +[2025-03-11 04:39:58,852 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9904 +[2025-03-11 04:39:58,887 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4801 +[2025-03-11 04:39:58,936 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0446 +[2025-03-11 04:39:58,979 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8154 +[2025-03-11 04:39:59,013 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0374 +[2025-03-11 04:39:59,045 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3626 +[2025-03-11 04:39:59,077 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4803 +[2025-03-11 04:39:59,111 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9761 +[2025-03-11 04:39:59,148 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7780 +[2025-03-11 04:39:59,180 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.5280 +[2025-03-11 04:39:59,219 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6023 +[2025-03-11 04:39:59,257 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3509 +[2025-03-11 04:39:59,302 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2763 +[2025-03-11 04:39:59,335 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2311 +[2025-03-11 04:39:59,363 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1117 +[2025-03-11 04:39:59,405 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8532 +[2025-03-11 04:39:59,446 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7674 +[2025-03-11 04:39:59,475 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.9269 +[2025-03-11 04:39:59,515 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1439 +[2025-03-11 04:39:59,551 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1887 +[2025-03-11 04:39:59,611 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.4112 +[2025-03-11 04:39:59,643 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4520 +[2025-03-11 04:39:59,686 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2751 +[2025-03-11 04:39:59,726 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2188 +[2025-03-11 04:39:59,761 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.6524 +[2025-03-11 04:39:59,792 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4776 +[2025-03-11 04:39:59,852 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3693 +[2025-03-11 04:39:59,899 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7532 +[2025-03-11 04:39:59,954 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7563 +[2025-03-11 04:40:00,008 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6591 +[2025-03-11 04:40:00,053 INFO hook.py line 748 2389709] Test: [74/78] Loss 2.8111 +[2025-03-11 04:40:00,104 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3490 +[2025-03-11 04:40:00,132 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.7449 +[2025-03-11 04:40:00,190 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5401 +[2025-03-11 04:40:00,217 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.4650 +[2025-03-11 04:40:01,491 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:40:01,491 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:40:01,491 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] wall : 0.7921 0.9100 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] chair : 0.7138 0.8140 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] floor : 0.9589 0.9832 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] table : 0.6293 0.7759 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] door : 0.6422 0.7343 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] couch : 0.7254 0.9332 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] cabinet : 0.3437 0.4598 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] shelf : 0.3532 0.5008 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] desk : 0.5709 0.8137 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] office chair : 0.2196 0.3878 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] bed : 0.7943 0.8806 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] pillow : 0.5337 0.7774 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] sink : 0.6313 0.8016 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] picture : 0.3850 0.5089 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] window : 0.5454 0.8244 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] toilet : 0.9234 0.9601 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] bookshelf : 0.4441 0.6480 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] monitor : 0.8479 0.9194 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] curtain : 0.6219 0.6556 +[2025-03-11 04:40:01,492 INFO hook.py line 689 2389709] book : 0.4490 0.7319 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] armchair : 0.5129 0.6222 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] coffee table : 0.5953 0.6626 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] box : 0.2984 0.4600 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] refrigerator : 0.6311 0.6562 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] lamp : 0.6511 0.7861 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] kitchen cabinet: 0.6349 0.7718 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] towel : 0.4340 0.5335 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] clothes : 0.1823 0.3952 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] tv : 0.8501 0.9010 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] nightstand : 0.6265 0.8708 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] counter : 0.2325 0.6657 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] dresser : 0.3130 0.4479 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] stool : 0.5500 0.6793 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] plant : 0.7707 0.8502 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] ceiling : 0.9213 0.9505 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] bathtub : 0.8692 0.9129 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] end table : 0.1368 0.2505 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] dining table : 0.0060 0.0062 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] keyboard : 0.4407 0.6295 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] bag : 0.1125 0.1750 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] backpack : 0.5653 0.6392 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] toilet paper : 0.4582 0.5729 +[2025-03-11 04:40:01,493 INFO hook.py line 689 2389709] printer : 0.2973 0.6049 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] tv stand : 0.6821 0.8595 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] whiteboard : 0.4701 0.7111 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] blanket : 0.0509 0.0634 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] shower curtain : 0.7126 0.8301 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] trash can : 0.6023 0.8168 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] closet : 0.1007 0.1241 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] stairs : 0.4158 0.7335 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] microwave : 0.4386 0.8334 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] stove : 0.5678 0.8183 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] shoe : 0.4858 0.6600 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] computer tower : 0.4694 0.8517 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] bottle : 0.0968 0.2553 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] ottoman : 0.4073 0.4597 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] bench : 0.2577 0.2658 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] board : 0.1398 0.2384 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] washing machine: 0.7835 0.9449 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] mirror : 0.3622 0.5143 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] copier : 0.7403 0.9289 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] sofa chair : 0.1209 0.1714 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] file cabinet : 0.4738 0.6135 +[2025-03-11 04:40:01,494 INFO hook.py line 689 2389709] fan : 0.2916 0.2984 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] laptop : 0.5057 0.7277 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] shower : 0.2754 0.2915 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] paper : 0.0722 0.2389 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] person : 0.1722 0.6038 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] paper towel dispenser: 0.5357 0.6711 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] oven : 0.1059 0.1396 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] blinds : 0.0211 0.0264 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] blackboard : 0.5943 0.6750 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] piano : 0.4140 0.8013 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] suitcase : 0.4701 0.4859 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] rail : 0.0096 0.0096 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] radiator : 0.5434 0.6354 +[2025-03-11 04:40:01,495 INFO hook.py line 689 2389709] recycling bin : 0.4932 0.6207 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] container : 0.0003 0.0005 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] wardrobe : 0.1693 0.1954 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] soap dispenser : 0.7919 0.8650 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] telephone : 0.2547 0.3632 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] bucket : 0.3071 0.3668 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] clock : 0.2745 0.3303 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] light : 0.0351 0.0440 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] pipe : 0.0808 0.1250 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] clothes dryer : 0.5417 0.5439 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] guitar : 0.7661 0.8221 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] toilet paper holder: 0.0346 0.1374 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] ladder : 0.3153 0.3494 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] bathroom stall : 0.5315 0.6948 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] shower wall : 0.4550 0.6313 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] cup : 0.1972 0.3233 +[2025-03-11 04:40:01,496 INFO hook.py line 689 2389709] jacket : 0.1836 0.2180 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] coffee maker : 0.5172 0.9865 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] dishwasher : 0.2984 0.5117 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] paper towel roll: 0.2459 0.3927 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] mat : 0.2175 0.2243 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] windowsill : 0.0496 0.0538 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] bar : 0.1629 0.2631 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] toaster : 0.1333 0.1356 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] bulletin board : 0.2795 0.4912 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] ironing board : 0.0283 0.0301 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] fireplace : 0.2946 0.2992 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] soap dish : 0.3426 0.4801 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] kitchen counter: 0.3883 0.4533 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] doorframe : 0.4234 0.6056 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] toilet paper dispenser: 0.2833 0.3159 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] mini fridge : 0.4459 0.5234 +[2025-03-11 04:40:01,497 INFO hook.py line 689 2389709] fire extinguisher: 0.1948 0.2151 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] ball : 0.5538 0.6283 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] shower curtain rod: 0.1669 0.9535 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] water cooler : 0.4951 0.5336 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] paper cutter : 0.1439 0.1560 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] tray : 0.0462 0.0991 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] shower door : 0.2012 0.3507 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] pillar : 0.0410 0.0413 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] ledge : 0.0491 0.0792 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] mouse : 0.0785 0.5833 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6509 0.7602 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] cart : 0.2064 0.2642 +[2025-03-11 04:40:01,498 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] scale : 0.5981 0.9349 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] tissue box : 0.2704 0.3399 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] light switch : 0.0170 0.0402 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] power outlet : 0.1928 0.3114 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] decoration : 0.1802 0.6733 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] sign : 0.0672 0.0687 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] projector : 0.0385 0.3216 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] closet door : 0.2064 0.2456 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] vacuum cleaner : 0.7441 0.8506 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] plunger : 0.4722 0.9776 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] headphones : 0.0010 0.0018 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] dish rack : 0.7013 0.8791 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] broom : 0.0979 0.1529 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] range hood : 0.7716 0.9215 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] dustpan : 0.0815 0.2713 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] water bottle : 0.0019 0.0079 +[2025-03-11 04:40:01,499 INFO hook.py line 689 2389709] handicap bar : 0.0673 0.6296 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] shower floor : 0.5308 0.6700 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] mailbox : 0.2756 0.2810 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] bowl : 0.1955 0.2724 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] paper bag : 0.0750 0.0931 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] projector screen: 0.0015 0.0015 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] divider : 0.3952 0.4492 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] laundry detergent: 0.0025 0.0025 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] bathroom counter: 0.2248 0.2690 +[2025-03-11 04:40:01,500 INFO hook.py line 689 2389709] object : 0.0347 0.0664 +[2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] bathroom vanity: 0.5321 0.7761 +[2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] closet wall : 0.0255 0.0323 +[2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] laundry hamper : 0.0000 0.0000 +[2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] bathroom stall door: 0.6199 0.7347 +[2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] ceiling light : 0.3701 0.5264 +[2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] trash bin : 0.3505 0.4692 +[2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] dumbbell : 0.8206 0.9719 +[2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] stair rail : 0.1577 0.2647 +[2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] tube : 0.0843 0.0980 +[2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] bathroom cabinet: 0.2977 0.5457 +[2025-03-11 04:40:01,501 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] closet rod : 0.4847 0.8906 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] coffee kettle : 0.1782 0.1807 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] shower head : 0.3256 0.3534 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] coat rack : 0.0161 0.0192 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] fire alarm : 0.0019 0.0244 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] calendar : 0.0769 0.1980 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:40:01,502 INFO hook.py line 689 2389709] mattress : 0.0007 0.0007 +[2025-03-11 04:40:01,502 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:40:01,502 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2928/0.3962/0.8098. +[2025-03-11 04:40:01,503 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:40:01,521 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:40:01,521 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:40:31,772 INFO hook.py line 566 2389709] Train: [62/100][50/300] Data 0.003 (0.003) Batch 0.526 (0.498) Remain 01:36:37 loss: 0.7303 Lr: 1.79517e-03 +[2025-03-11 04:40:56,855 INFO hook.py line 566 2389709] Train: [62/100][100/300] Data 0.002 (0.003) Batch 0.488 (0.500) Remain 01:36:36 loss: 0.5571 Lr: 1.78196e-03 +[2025-03-11 04:41:21,820 INFO hook.py line 566 2389709] Train: [62/100][150/300] Data 0.003 (0.002) Batch 0.524 (0.500) Remain 01:36:10 loss: 0.5699 Lr: 1.76878e-03 +[2025-03-11 04:41:46,388 INFO hook.py line 566 2389709] Train: [62/100][200/300] Data 0.002 (0.002) Batch 0.495 (0.497) Remain 01:35:21 loss: 0.6278 Lr: 1.75562e-03 +[2025-03-11 04:42:10,957 INFO hook.py line 566 2389709] Train: [62/100][250/300] Data 0.003 (0.002) Batch 0.479 (0.496) Remain 01:34:42 loss: 0.8626 Lr: 1.74247e-03 +[2025-03-11 04:42:35,430 INFO hook.py line 566 2389709] Train: [62/100][300/300] Data 0.001 (0.002) Batch 0.495 (0.495) Remain 01:34:04 loss: 0.6297 Lr: 1.72936e-03 +[2025-03-11 04:42:35,431 INFO misc.py line 135 2389709] Train result: loss: 0.6160 +[2025-03-11 04:42:35,547 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:43:23,560 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4125 +[2025-03-11 04:43:23,617 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2512 +[2025-03-11 04:43:23,653 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7977 +[2025-03-11 04:43:23,705 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3842 +[2025-03-11 04:43:23,745 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7850 +[2025-03-11 04:43:23,804 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8026 +[2025-03-11 04:43:23,860 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8075 +[2025-03-11 04:43:23,893 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4410 +[2025-03-11 04:43:23,943 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2272 +[2025-03-11 04:43:23,984 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1817 +[2025-03-11 04:43:24,038 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0726 +[2025-03-11 04:43:24,075 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4871 +[2025-03-11 04:43:24,125 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.2896 +[2025-03-11 04:43:24,168 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1469 +[2025-03-11 04:43:24,206 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9902 +[2025-03-11 04:43:24,257 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0847 +[2025-03-11 04:43:24,299 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2294 +[2025-03-11 04:43:24,341 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9283 +[2025-03-11 04:43:24,389 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3066 +[2025-03-11 04:43:24,427 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8084 +[2025-03-11 04:43:24,465 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6200 +[2025-03-11 04:43:24,510 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5410 +[2025-03-11 04:43:24,552 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2658 +[2025-03-11 04:43:24,601 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9327 +[2025-03-11 04:43:24,648 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7036 +[2025-03-11 04:43:24,697 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1634 +[2025-03-11 04:43:24,751 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7725 +[2025-03-11 04:43:24,787 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5624 +[2025-03-11 04:43:24,819 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0073 +[2025-03-11 04:43:24,881 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0583 +[2025-03-11 04:43:24,941 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4619 +[2025-03-11 04:43:24,978 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0748 +[2025-03-11 04:43:25,042 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8736 +[2025-03-11 04:43:25,087 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2765 +[2025-03-11 04:43:25,127 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1243 +[2025-03-11 04:43:25,173 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6841 +[2025-03-11 04:43:25,212 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.1622 +[2025-03-11 04:43:25,249 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6998 +[2025-03-11 04:43:25,316 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5349 +[2025-03-11 04:43:25,372 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5359 +[2025-03-11 04:43:25,418 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1097 +[2025-03-11 04:43:25,453 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4914 +[2025-03-11 04:43:25,496 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0349 +[2025-03-11 04:43:25,558 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0341 +[2025-03-11 04:43:25,592 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2891 +[2025-03-11 04:43:25,641 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1108 +[2025-03-11 04:43:25,682 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2668 +[2025-03-11 04:43:25,721 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0536 +[2025-03-11 04:43:25,756 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5202 +[2025-03-11 04:43:25,788 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9149 +[2025-03-11 04:43:25,820 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9684 +[2025-03-11 04:43:25,860 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7345 +[2025-03-11 04:43:25,887 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2809 +[2025-03-11 04:43:25,926 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6840 +[2025-03-11 04:43:25,964 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4023 +[2025-03-11 04:43:26,009 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0119 +[2025-03-11 04:43:26,046 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1110 +[2025-03-11 04:43:26,075 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8630 +[2025-03-11 04:43:26,117 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8807 +[2025-03-11 04:43:26,159 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.7379 +[2025-03-11 04:43:26,188 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7853 +[2025-03-11 04:43:26,224 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8917 +[2025-03-11 04:43:26,265 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9589 +[2025-03-11 04:43:26,325 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7587 +[2025-03-11 04:43:26,358 INFO hook.py line 748 2389709] Test: [65/78] Loss 1.9789 +[2025-03-11 04:43:26,401 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.6080 +[2025-03-11 04:43:26,444 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.7547 +[2025-03-11 04:43:26,481 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9414 +[2025-03-11 04:43:26,512 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3372 +[2025-03-11 04:43:26,573 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0381 +[2025-03-11 04:43:26,620 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5448 +[2025-03-11 04:43:26,676 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6637 +[2025-03-11 04:43:26,729 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7594 +[2025-03-11 04:43:26,773 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.0962 +[2025-03-11 04:43:26,824 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5532 +[2025-03-11 04:43:26,852 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2023 +[2025-03-11 04:43:26,911 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6174 +[2025-03-11 04:43:26,937 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0295 +[2025-03-11 04:43:28,249 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:43:28,249 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:43:28,249 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:43:28,249 INFO hook.py line 689 2389709] wall : 0.7840 0.9295 +[2025-03-11 04:43:28,249 INFO hook.py line 689 2389709] chair : 0.6427 0.7587 +[2025-03-11 04:43:28,249 INFO hook.py line 689 2389709] floor : 0.9555 0.9825 +[2025-03-11 04:43:28,250 INFO hook.py line 689 2389709] table : 0.6439 0.7627 +[2025-03-11 04:43:28,250 INFO hook.py line 689 2389709] door : 0.6285 0.7471 +[2025-03-11 04:43:28,250 INFO hook.py line 689 2389709] couch : 0.7868 0.9309 +[2025-03-11 04:43:28,250 INFO hook.py line 689 2389709] cabinet : 0.3574 0.5365 +[2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] shelf : 0.4049 0.5061 +[2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] desk : 0.5728 0.7536 +[2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] office chair : 0.2287 0.5639 +[2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] bed : 0.8039 0.8891 +[2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] pillow : 0.5530 0.7785 +[2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] sink : 0.6588 0.7903 +[2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] picture : 0.3564 0.4841 +[2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] window : 0.5924 0.7043 +[2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] toilet : 0.9284 0.9515 +[2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] bookshelf : 0.4968 0.6326 +[2025-03-11 04:43:28,251 INFO hook.py line 689 2389709] monitor : 0.8481 0.9029 +[2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] curtain : 0.6723 0.8494 +[2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] book : 0.4539 0.7837 +[2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] armchair : 0.3621 0.4152 +[2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] coffee table : 0.6827 0.7686 +[2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] box : 0.2979 0.3573 +[2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] refrigerator : 0.6369 0.6857 +[2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] lamp : 0.6983 0.7746 +[2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] kitchen cabinet: 0.6956 0.7834 +[2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] towel : 0.4354 0.7224 +[2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] clothes : 0.1614 0.4617 +[2025-03-11 04:43:28,252 INFO hook.py line 689 2389709] tv : 0.8607 0.9235 +[2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] nightstand : 0.6821 0.8686 +[2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] counter : 0.2730 0.4213 +[2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] dresser : 0.3217 0.5695 +[2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] stool : 0.3872 0.4484 +[2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] plant : 0.7352 0.9094 +[2025-03-11 04:43:28,253 INFO hook.py line 689 2389709] ceiling : 0.9237 0.9786 +[2025-03-11 04:43:28,254 INFO hook.py line 689 2389709] bathtub : 0.8582 0.9025 +[2025-03-11 04:43:28,254 INFO hook.py line 689 2389709] end table : 0.1444 0.1928 +[2025-03-11 04:43:28,254 INFO hook.py line 689 2389709] dining table : 0.0010 0.0011 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] keyboard : 0.4257 0.5133 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] bag : 0.2097 0.4316 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] backpack : 0.6097 0.6994 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] toilet paper : 0.3911 0.4294 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] printer : 0.4263 0.7272 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] tv stand : 0.3086 0.4510 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] whiteboard : 0.5004 0.6695 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] blanket : 0.0773 0.0947 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] shower curtain : 0.6537 0.7106 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] trash can : 0.6001 0.8519 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] closet : 0.1133 0.1697 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] stairs : 0.5108 0.6327 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] microwave : 0.5340 0.7203 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] stove : 0.6258 0.8337 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] shoe : 0.4913 0.6376 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] computer tower : 0.5586 0.7500 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] bottle : 0.1090 0.2301 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] ottoman : 0.2691 0.3324 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] bench : 0.3833 0.5432 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] board : 0.2107 0.4306 +[2025-03-11 04:43:28,255 INFO hook.py line 689 2389709] washing machine: 0.7963 0.9126 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] mirror : 0.3664 0.5038 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] copier : 0.8383 0.8978 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] sofa chair : 0.1420 0.3282 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] file cabinet : 0.4048 0.5175 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] fan : 0.4647 0.5315 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] laptop : 0.4559 0.6985 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] shower : 0.1787 0.1925 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] paper : 0.0629 0.1041 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] person : 0.2687 0.6018 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] paper towel dispenser: 0.5011 0.8839 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] oven : 0.0860 0.1106 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] plate : 0.0287 0.0536 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] blackboard : 0.6300 0.6690 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] piano : 0.5793 0.7160 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] suitcase : 0.6275 0.7518 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] rail : 0.0474 0.0531 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] radiator : 0.5964 0.6624 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] recycling bin : 0.4612 0.5188 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] container : 0.0007 0.0009 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] wardrobe : 0.2422 0.2815 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] soap dispenser : 0.6152 0.9119 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] telephone : 0.2557 0.3541 +[2025-03-11 04:43:28,256 INFO hook.py line 689 2389709] bucket : 0.3687 0.6928 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] clock : 0.2889 0.3644 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] light : 0.0445 0.0542 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] laundry basket : 0.0000 0.0000 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] pipe : 0.0211 0.0291 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] clothes dryer : 0.4232 0.4275 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] guitar : 0.7277 0.8829 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] toilet paper holder: 0.0071 0.0286 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] column : 0.1080 0.2110 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] ladder : 0.5325 0.6331 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] bathroom stall : 0.4395 0.5147 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] shower wall : 0.4916 0.6536 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] cup : 0.1761 0.4316 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] jacket : 0.1357 0.1860 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] storage bin : 0.0259 0.0281 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] coffee maker : 0.5627 0.9953 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] dishwasher : 0.3893 0.7090 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] paper towel roll: 0.2248 0.2548 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] mat : 0.2557 0.2989 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] windowsill : 0.2014 0.2317 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] bar : 0.1143 0.2361 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] toaster : 0.1746 0.3189 +[2025-03-11 04:43:28,257 INFO hook.py line 689 2389709] bulletin board : 0.2551 0.5214 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] ironing board : 0.2045 0.2358 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] fireplace : 0.6376 0.6996 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] soap dish : 0.3464 0.4648 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] kitchen counter: 0.5609 0.7171 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] doorframe : 0.3865 0.5929 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4752 0.7777 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] mini fridge : 0.3131 0.3470 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] fire extinguisher: 0.0711 0.1414 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] ball : 0.4536 0.6296 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] shower curtain rod: 0.2858 0.8980 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] water cooler : 0.3627 0.4246 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] paper cutter : 0.2249 0.2575 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] tray : 0.0678 0.0899 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] shower door : 0.1586 0.2284 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] pillar : 0.0117 0.0120 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] ledge : 0.0344 0.0411 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] toaster oven : 0.1674 0.1701 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] mouse : 0.1154 0.5236 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7137 0.8422 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] cart : 0.0760 0.0808 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] scale : 0.3237 0.9501 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] tissue box : 0.1625 0.2082 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] light switch : 0.0315 0.0954 +[2025-03-11 04:43:28,258 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] power outlet : 0.1021 0.1383 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] decoration : 0.3112 0.5469 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] sign : 0.0217 0.0254 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] projector : 0.1118 1.0000 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] closet door : 0.0780 0.0968 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] vacuum cleaner : 0.8321 0.9559 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] plunger : 0.4150 0.9803 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] headphones : 0.0134 0.0259 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] dish rack : 0.7126 0.9524 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] broom : 0.0633 0.1165 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] range hood : 0.7651 0.9155 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] dustpan : 0.0827 0.2335 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] water bottle : 0.0491 0.0929 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] handicap bar : 0.0174 0.2006 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] mailbox : 0.4496 0.4580 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] bowl : 0.1567 0.3357 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] paper bag : 0.0723 0.1696 +[2025-03-11 04:43:28,259 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] divider : 0.4293 0.4791 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] bathroom counter: 0.2084 0.2253 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] object : 0.0349 0.0633 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] bathroom vanity: 0.5281 0.7497 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] closet wall : 0.0765 0.1155 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] laundry hamper : 0.0919 0.1821 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] bathroom stall door: 0.5036 0.8049 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] ceiling light : 0.3798 0.4725 +[2025-03-11 04:43:28,262 INFO hook.py line 689 2389709] trash bin : 0.3476 0.4487 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] dumbbell : 0.2600 0.9719 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] stair rail : 0.1967 0.2355 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] tube : 0.0646 0.0762 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] bathroom cabinet: 0.4115 0.6703 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] closet rod : 0.3580 0.8119 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] coffee kettle : 0.4464 0.7725 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] shower head : 0.2856 0.4195 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] case of water bottles: 0.0235 0.0238 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] coat rack : 0.0073 0.0096 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] fire alarm : 0.0819 0.8810 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] calendar : 0.0034 0.0042 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:43:28,263 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:43:28,264 INFO hook.py line 689 2389709] mattress : 0.0002 0.0002 +[2025-03-11 04:43:28,264 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:43:28,264 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2967/0.4117/0.8132. +[2025-03-11 04:43:28,264 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:43:28,282 INFO misc.py line 164 2389709] Currently Best mIoU: 0.2984 +[2025-03-11 04:43:28,282 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:43:58,134 INFO hook.py line 566 2389709] Train: [63/100][50/300] Data 0.002 (0.002) Batch 0.469 (0.484) Remain 01:31:32 loss: 0.6234 Lr: 1.71626e-03 +[2025-03-11 04:44:22,872 INFO hook.py line 566 2389709] Train: [63/100][100/300] Data 0.003 (0.002) Batch 0.449 (0.489) Remain 01:32:11 loss: 0.6631 Lr: 1.70319e-03 +[2025-03-11 04:44:47,477 INFO hook.py line 566 2389709] Train: [63/100][150/300] Data 0.002 (0.002) Batch 0.492 (0.490) Remain 01:31:56 loss: 0.5897 Lr: 1.69015e-03 +[2025-03-11 04:45:11,601 INFO hook.py line 566 2389709] Train: [63/100][200/300] Data 0.002 (0.002) Batch 0.502 (0.488) Remain 01:31:09 loss: 0.5307 Lr: 1.67712e-03 +[2025-03-11 04:45:36,077 INFO hook.py line 566 2389709] Train: [63/100][250/300] Data 0.002 (0.002) Batch 0.478 (0.489) Remain 01:30:47 loss: 0.4569 Lr: 1.66413e-03 +[2025-03-11 04:46:00,515 INFO hook.py line 566 2389709] Train: [63/100][300/300] Data 0.002 (0.002) Batch 0.480 (0.489) Remain 01:30:23 loss: 0.6718 Lr: 1.65116e-03 +[2025-03-11 04:46:00,516 INFO misc.py line 135 2389709] Train result: loss: 0.5944 +[2025-03-11 04:46:00,616 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:46:55,729 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4186 +[2025-03-11 04:46:55,819 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.9416 +[2025-03-11 04:46:55,868 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7216 +[2025-03-11 04:46:55,919 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5162 +[2025-03-11 04:46:55,955 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8422 +[2025-03-11 04:46:56,023 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.4133 +[2025-03-11 04:46:56,078 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8984 +[2025-03-11 04:46:56,106 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4626 +[2025-03-11 04:46:56,151 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1306 +[2025-03-11 04:46:56,186 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2957 +[2025-03-11 04:46:56,246 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2602 +[2025-03-11 04:46:56,279 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.9414 +[2025-03-11 04:46:56,328 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6140 +[2025-03-11 04:46:56,366 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3948 +[2025-03-11 04:46:56,405 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8017 +[2025-03-11 04:46:56,459 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0829 +[2025-03-11 04:46:56,498 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3615 +[2025-03-11 04:46:56,533 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8351 +[2025-03-11 04:46:56,577 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5674 +[2025-03-11 04:46:56,613 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7370 +[2025-03-11 04:46:56,648 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7127 +[2025-03-11 04:46:56,689 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0971 +[2025-03-11 04:46:56,730 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4528 +[2025-03-11 04:46:56,779 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1974 +[2025-03-11 04:46:56,828 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4098 +[2025-03-11 04:46:56,879 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2043 +[2025-03-11 04:46:56,933 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9800 +[2025-03-11 04:46:56,977 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5049 +[2025-03-11 04:46:57,016 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0921 +[2025-03-11 04:46:57,080 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0335 +[2025-03-11 04:46:57,141 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3601 +[2025-03-11 04:46:57,181 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0562 +[2025-03-11 04:46:57,238 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7870 +[2025-03-11 04:46:57,284 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.6317 +[2025-03-11 04:46:57,321 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5454 +[2025-03-11 04:46:57,363 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7060 +[2025-03-11 04:46:57,402 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3177 +[2025-03-11 04:46:57,435 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9618 +[2025-03-11 04:46:57,505 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8781 +[2025-03-11 04:46:57,557 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5230 +[2025-03-11 04:46:57,614 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1641 +[2025-03-11 04:46:57,645 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4445 +[2025-03-11 04:46:57,683 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9764 +[2025-03-11 04:46:57,741 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9354 +[2025-03-11 04:46:57,791 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5470 +[2025-03-11 04:46:57,852 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0599 +[2025-03-11 04:46:57,898 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6945 +[2025-03-11 04:46:57,933 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9281 +[2025-03-11 04:46:57,968 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4597 +[2025-03-11 04:46:58,005 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8150 +[2025-03-11 04:46:58,039 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1882 +[2025-03-11 04:46:58,075 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6639 +[2025-03-11 04:46:58,107 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3895 +[2025-03-11 04:46:58,146 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.4604 +[2025-03-11 04:46:58,188 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5842 +[2025-03-11 04:46:58,229 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0828 +[2025-03-11 04:46:58,267 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2503 +[2025-03-11 04:46:58,296 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.1389 +[2025-03-11 04:46:58,337 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7485 +[2025-03-11 04:46:58,378 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5627 +[2025-03-11 04:46:58,408 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.6984 +[2025-03-11 04:46:58,447 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9045 +[2025-03-11 04:46:58,484 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.6372 +[2025-03-11 04:46:58,541 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6328 +[2025-03-11 04:46:58,573 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0241 +[2025-03-11 04:46:58,620 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2434 +[2025-03-11 04:46:58,659 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.7815 +[2025-03-11 04:46:58,700 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2914 +[2025-03-11 04:46:58,734 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3924 +[2025-03-11 04:46:58,799 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0777 +[2025-03-11 04:46:58,843 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6606 +[2025-03-11 04:46:58,900 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.3975 +[2025-03-11 04:46:58,957 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7699 +[2025-03-11 04:46:59,007 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4369 +[2025-03-11 04:46:59,061 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.4231 +[2025-03-11 04:46:59,093 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.3957 +[2025-03-11 04:46:59,155 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5408 +[2025-03-11 04:46:59,181 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9255 +[2025-03-11 04:47:00,390 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:47:00,390 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:47:00,391 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] wall : 0.7904 0.9121 +[2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] chair : 0.6117 0.6915 +[2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] floor : 0.9534 0.9819 +[2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] table : 0.6103 0.7394 +[2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] door : 0.6628 0.7927 +[2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] couch : 0.7989 0.8497 +[2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] cabinet : 0.3696 0.5486 +[2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] shelf : 0.4103 0.5890 +[2025-03-11 04:47:00,391 INFO hook.py line 689 2389709] desk : 0.5491 0.8190 +[2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] office chair : 0.2222 0.6745 +[2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] bed : 0.7872 0.9031 +[2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] pillow : 0.5905 0.7779 +[2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] sink : 0.6248 0.7072 +[2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] picture : 0.3673 0.5576 +[2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] window : 0.5663 0.6986 +[2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] toilet : 0.9331 0.9629 +[2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] bookshelf : 0.5013 0.7308 +[2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] monitor : 0.8544 0.9203 +[2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] curtain : 0.6936 0.8368 +[2025-03-11 04:47:00,392 INFO hook.py line 689 2389709] book : 0.4552 0.6284 +[2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] armchair : 0.5710 0.7752 +[2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] coffee table : 0.5536 0.7852 +[2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] box : 0.2792 0.3444 +[2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] refrigerator : 0.6788 0.7306 +[2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] lamp : 0.6726 0.7588 +[2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] kitchen cabinet: 0.6574 0.7536 +[2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] towel : 0.4092 0.4876 +[2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] clothes : 0.1675 0.3919 +[2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] tv : 0.8506 0.8825 +[2025-03-11 04:47:00,393 INFO hook.py line 689 2389709] nightstand : 0.6724 0.8738 +[2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] counter : 0.2888 0.4945 +[2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] dresser : 0.3218 0.3686 +[2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] stool : 0.5364 0.7780 +[2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] plant : 0.7644 0.8804 +[2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] ceiling : 0.9264 0.9687 +[2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] bathtub : 0.8723 0.9199 +[2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] end table : 0.1513 0.2908 +[2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] dining table : 0.0523 0.1099 +[2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] keyboard : 0.4099 0.4797 +[2025-03-11 04:47:00,394 INFO hook.py line 689 2389709] bag : 0.0854 0.1176 +[2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] backpack : 0.5958 0.7540 +[2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] toilet paper : 0.4932 0.5477 +[2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] printer : 0.4343 0.7308 +[2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] tv stand : 0.4504 0.4959 +[2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] whiteboard : 0.4690 0.7600 +[2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] blanket : 0.0505 0.0591 +[2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] shower curtain : 0.6711 0.7522 +[2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] trash can : 0.5923 0.8380 +[2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] closet : 0.1185 0.1504 +[2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] stairs : 0.5958 0.6842 +[2025-03-11 04:47:00,395 INFO hook.py line 689 2389709] microwave : 0.5620 0.6887 +[2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] stove : 0.5665 0.8394 +[2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] shoe : 0.5267 0.6594 +[2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] computer tower : 0.5711 0.7401 +[2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] bottle : 0.1382 0.3195 +[2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] bin : 0.0003 0.0007 +[2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] ottoman : 0.3010 0.3234 +[2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] bench : 0.4018 0.5174 +[2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] board : 0.2000 0.2784 +[2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] washing machine: 0.8751 0.9105 +[2025-03-11 04:47:00,396 INFO hook.py line 689 2389709] mirror : 0.4082 0.5370 +[2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] copier : 0.7320 0.9286 +[2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] basket : 0.0029 0.0043 +[2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] sofa chair : 0.0947 0.1044 +[2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] file cabinet : 0.4321 0.5710 +[2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] fan : 0.4092 0.4794 +[2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] laptop : 0.5108 0.6043 +[2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] shower : 0.1609 0.1715 +[2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] paper : 0.0143 0.0156 +[2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] person : 0.3477 0.5273 +[2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] paper towel dispenser: 0.4734 0.6577 +[2025-03-11 04:47:00,397 INFO hook.py line 689 2389709] oven : 0.1046 0.1090 +[2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] blinds : 0.0091 0.0124 +[2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] blackboard : 0.6126 0.7277 +[2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] piano : 0.2632 0.3036 +[2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] suitcase : 0.6727 0.7703 +[2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] rail : 0.0144 0.0150 +[2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] radiator : 0.5755 0.6457 +[2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] recycling bin : 0.3753 0.5975 +[2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 04:47:00,398 INFO hook.py line 689 2389709] wardrobe : 0.2434 0.2992 +[2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] soap dispenser : 0.8277 0.9086 +[2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] telephone : 0.3229 0.4209 +[2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] bucket : 0.3703 0.4344 +[2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] clock : 0.2447 0.3000 +[2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] light : 0.0414 0.0474 +[2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] laundry basket : 0.0035 0.0035 +[2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] pipe : 0.0527 0.0933 +[2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] clothes dryer : 0.7323 0.7880 +[2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] guitar : 0.6775 0.8138 +[2025-03-11 04:47:00,399 INFO hook.py line 689 2389709] toilet paper holder: 0.0289 0.1344 +[2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] seat : 0.0139 0.0158 +[2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] column : 0.1836 0.2299 +[2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] ladder : 0.4517 0.5165 +[2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] bathroom stall : 0.5259 0.7362 +[2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] shower wall : 0.4328 0.5752 +[2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] cup : 0.1862 0.3404 +[2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] jacket : 0.2579 0.3615 +[2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] storage bin : 0.0481 0.0557 +[2025-03-11 04:47:00,400 INFO hook.py line 689 2389709] coffee maker : 0.9161 0.9858 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] dishwasher : 0.3261 0.5287 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] paper towel roll: 0.3391 0.3858 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] mat : 0.3425 0.4244 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] windowsill : 0.0436 0.0438 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] bar : 0.1467 0.2829 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] toaster : 0.4884 0.5170 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] bulletin board : 0.2585 0.3271 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] ironing board : 0.1679 0.1819 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] fireplace : 0.3912 0.4010 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] soap dish : 0.3507 0.4513 +[2025-03-11 04:47:00,401 INFO hook.py line 689 2389709] kitchen counter: 0.5452 0.6786 +[2025-03-11 04:47:00,402 INFO hook.py line 689 2389709] doorframe : 0.3991 0.6402 +[2025-03-11 04:47:00,402 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4137 0.5277 +[2025-03-11 04:47:00,402 INFO hook.py line 689 2389709] mini fridge : 0.1806 0.1865 +[2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] fire extinguisher: 0.1325 0.1560 +[2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] ball : 0.7164 0.9526 +[2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] shower curtain rod: 0.3566 0.8580 +[2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] water cooler : 0.4660 0.9618 +[2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] paper cutter : 0.2369 0.2651 +[2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] tray : 0.0381 0.0819 +[2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] shower door : 0.1836 0.2177 +[2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] ledge : 0.0224 0.0302 +[2025-03-11 04:47:00,403 INFO hook.py line 689 2389709] toaster oven : 0.1644 0.1672 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] mouse : 0.1822 0.4375 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7018 0.8086 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] cart : 0.2663 0.3192 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] scale : 0.5427 0.9415 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] tissue box : 0.2573 0.3372 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] light switch : 0.0288 0.1003 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] power outlet : 0.0133 0.0141 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] decoration : 0.3386 0.5262 +[2025-03-11 04:47:00,404 INFO hook.py line 689 2389709] sign : 0.0242 0.0279 +[2025-03-11 04:47:00,409 INFO hook.py line 689 2389709] projector : 0.1136 1.0000 +[2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] closet door : 0.0752 0.0808 +[2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] vacuum cleaner : 0.8280 0.9420 +[2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] plunger : 0.3857 0.8777 +[2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] dish rack : 0.7793 0.9170 +[2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] broom : 0.0935 0.1172 +[2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] range hood : 0.7539 0.9071 +[2025-03-11 04:47:00,410 INFO hook.py line 689 2389709] dustpan : 0.0843 0.1815 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] water bottle : 0.0145 0.0748 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] handicap bar : 0.0502 0.8006 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] shower floor : 0.5802 0.9972 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] mailbox : 0.1291 0.1308 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] bowl : 0.0549 0.0699 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] paper bag : 0.0696 0.2340 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:47:00,411 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] projector screen: 0.0013 0.0014 +[2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] divider : 0.2739 0.2883 +[2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] laundry detergent: 0.0114 0.0132 +[2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] bathroom counter: 0.1788 0.2008 +[2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] object : 0.0359 0.0670 +[2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] bathroom vanity: 0.4725 0.7219 +[2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] closet wall : 0.1030 0.1518 +[2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] laundry hamper : 0.0005 0.0005 +[2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] bathroom stall door: 0.5586 0.6274 +[2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] ceiling light : 0.2244 0.2664 +[2025-03-11 04:47:00,412 INFO hook.py line 689 2389709] trash bin : 0.3794 0.5011 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] dumbbell : 0.1399 0.9748 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] stair rail : 0.0846 0.0981 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] tube : 0.1147 0.1233 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] bathroom cabinet: 0.2403 0.4969 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] closet rod : 0.2979 0.8838 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] coffee kettle : 0.2305 0.2394 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] shower head : 0.2937 0.3490 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] case of water bottles: 0.0151 0.0152 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 04:47:00,413 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:47:00,414 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 04:47:00,414 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:47:00,414 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3020/0.4027/0.8108. +[2025-03-11 04:47:00,415 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:47:00,426 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3020 +[2025-03-11 04:47:00,426 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3020 +[2025-03-11 04:47:00,427 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:47:30,425 INFO hook.py line 566 2389709] Train: [64/100][50/300] Data 0.002 (0.002) Batch 0.484 (0.499) Remain 01:31:54 loss: 0.5185 Lr: 1.63821e-03 +[2025-03-11 04:47:55,020 INFO hook.py line 566 2389709] Train: [64/100][100/300] Data 0.003 (0.002) Batch 0.485 (0.495) Remain 01:30:49 loss: 0.3027 Lr: 1.62529e-03 +[2025-03-11 04:48:19,413 INFO hook.py line 566 2389709] Train: [64/100][150/300] Data 0.002 (0.002) Batch 0.493 (0.493) Remain 01:29:56 loss: 0.7791 Lr: 1.61240e-03 +[2025-03-11 04:48:43,797 INFO hook.py line 566 2389709] Train: [64/100][200/300] Data 0.002 (0.002) Batch 0.501 (0.492) Remain 01:29:17 loss: 0.5970 Lr: 1.59953e-03 +[2025-03-11 04:49:08,283 INFO hook.py line 566 2389709] Train: [64/100][250/300] Data 0.003 (0.002) Batch 0.475 (0.491) Remain 01:28:48 loss: 0.3748 Lr: 1.58670e-03 +[2025-03-11 04:49:32,652 INFO hook.py line 566 2389709] Train: [64/100][300/300] Data 0.002 (0.002) Batch 0.447 (0.491) Remain 01:28:17 loss: 0.7517 Lr: 1.57389e-03 +[2025-03-11 04:49:32,653 INFO misc.py line 135 2389709] Train result: loss: 0.5811 +[2025-03-11 04:49:32,754 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:50:27,675 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3433 +[2025-03-11 04:50:27,756 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0883 +[2025-03-11 04:50:27,801 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7292 +[2025-03-11 04:50:27,850 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5816 +[2025-03-11 04:50:27,895 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9198 +[2025-03-11 04:50:27,957 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8411 +[2025-03-11 04:50:28,012 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7837 +[2025-03-11 04:50:28,039 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2245 +[2025-03-11 04:50:28,095 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2610 +[2025-03-11 04:50:28,157 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3193 +[2025-03-11 04:50:28,215 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1479 +[2025-03-11 04:50:28,252 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.5093 +[2025-03-11 04:50:28,303 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.7751 +[2025-03-11 04:50:28,348 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.2763 +[2025-03-11 04:50:28,389 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8408 +[2025-03-11 04:50:28,444 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1285 +[2025-03-11 04:50:28,485 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2880 +[2025-03-11 04:50:28,524 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0746 +[2025-03-11 04:50:28,577 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5898 +[2025-03-11 04:50:28,616 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5166 +[2025-03-11 04:50:28,657 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8180 +[2025-03-11 04:50:28,698 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6492 +[2025-03-11 04:50:28,730 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4480 +[2025-03-11 04:50:28,786 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0707 +[2025-03-11 04:50:28,829 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5921 +[2025-03-11 04:50:28,876 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1941 +[2025-03-11 04:50:28,934 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8035 +[2025-03-11 04:50:28,974 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6147 +[2025-03-11 04:50:29,007 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2238 +[2025-03-11 04:50:29,061 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3984 +[2025-03-11 04:50:29,121 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4790 +[2025-03-11 04:50:29,159 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0586 +[2025-03-11 04:50:29,230 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0310 +[2025-03-11 04:50:29,273 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4379 +[2025-03-11 04:50:29,313 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1742 +[2025-03-11 04:50:29,354 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3419 +[2025-03-11 04:50:29,396 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7612 +[2025-03-11 04:50:29,429 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8309 +[2025-03-11 04:50:29,499 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.9595 +[2025-03-11 04:50:29,546 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5783 +[2025-03-11 04:50:29,594 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4931 +[2025-03-11 04:50:29,626 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4237 +[2025-03-11 04:50:29,670 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3320 +[2025-03-11 04:50:29,732 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9082 +[2025-03-11 04:50:29,768 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6577 +[2025-03-11 04:50:29,817 INFO hook.py line 748 2389709] Test: [46/78] Loss 0.9976 +[2025-03-11 04:50:29,859 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9401 +[2025-03-11 04:50:29,898 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9276 +[2025-03-11 04:50:29,933 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6240 +[2025-03-11 04:50:29,966 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.2893 +[2025-03-11 04:50:30,000 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3949 +[2025-03-11 04:50:30,040 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5190 +[2025-03-11 04:50:30,072 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2510 +[2025-03-11 04:50:30,112 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.5351 +[2025-03-11 04:50:30,150 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4974 +[2025-03-11 04:50:30,194 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1506 +[2025-03-11 04:50:30,232 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3927 +[2025-03-11 04:50:30,261 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0852 +[2025-03-11 04:50:30,303 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8089 +[2025-03-11 04:50:30,344 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6396 +[2025-03-11 04:50:30,373 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7613 +[2025-03-11 04:50:30,413 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1574 +[2025-03-11 04:50:30,454 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9943 +[2025-03-11 04:50:30,515 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8682 +[2025-03-11 04:50:30,547 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2338 +[2025-03-11 04:50:30,589 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3217 +[2025-03-11 04:50:30,633 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.7685 +[2025-03-11 04:50:30,674 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0083 +[2025-03-11 04:50:30,711 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4023 +[2025-03-11 04:50:30,771 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3279 +[2025-03-11 04:50:30,819 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.5989 +[2025-03-11 04:50:30,877 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.6428 +[2025-03-11 04:50:30,939 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6974 +[2025-03-11 04:50:30,982 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8861 +[2025-03-11 04:50:31,033 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.8979 +[2025-03-11 04:50:31,062 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1854 +[2025-03-11 04:50:31,124 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6654 +[2025-03-11 04:50:31,154 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0667 +[2025-03-11 04:50:32,425 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:50:32,425 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:50:32,426 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] wall : 0.7962 0.9161 +[2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] chair : 0.6602 0.7919 +[2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] floor : 0.9558 0.9817 +[2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] table : 0.6179 0.7119 +[2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] door : 0.6305 0.7745 +[2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] couch : 0.8157 0.9080 +[2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] cabinet : 0.3548 0.5695 +[2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] shelf : 0.4078 0.5436 +[2025-03-11 04:50:32,426 INFO hook.py line 689 2389709] desk : 0.5828 0.8172 +[2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] office chair : 0.2266 0.5022 +[2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] bed : 0.7727 0.8753 +[2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] pillow : 0.5549 0.6924 +[2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] sink : 0.6717 0.7734 +[2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] picture : 0.3740 0.4976 +[2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] window : 0.5427 0.7296 +[2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] toilet : 0.9443 0.9720 +[2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] bookshelf : 0.4564 0.6246 +[2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] monitor : 0.8176 0.8704 +[2025-03-11 04:50:32,427 INFO hook.py line 689 2389709] curtain : 0.7357 0.8475 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] book : 0.4527 0.7620 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] armchair : 0.5366 0.7186 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] coffee table : 0.6024 0.7985 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] box : 0.3407 0.4602 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] refrigerator : 0.6287 0.7335 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] lamp : 0.6839 0.7995 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] kitchen cabinet: 0.6444 0.7454 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] towel : 0.4348 0.7064 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] clothes : 0.1952 0.4172 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] tv : 0.8362 0.8898 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] nightstand : 0.6733 0.8607 +[2025-03-11 04:50:32,428 INFO hook.py line 689 2389709] counter : 0.2433 0.5303 +[2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] dresser : 0.3433 0.4737 +[2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] stool : 0.4444 0.5930 +[2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] plant : 0.7250 0.8639 +[2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] ceiling : 0.9280 0.9575 +[2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] bathtub : 0.8753 0.8979 +[2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] end table : 0.1932 0.3181 +[2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] dining table : 0.0265 0.0372 +[2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] keyboard : 0.3775 0.6071 +[2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] bag : 0.1743 0.3042 +[2025-03-11 04:50:32,429 INFO hook.py line 689 2389709] backpack : 0.6244 0.6702 +[2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] toilet paper : 0.4795 0.5704 +[2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] printer : 0.4347 0.5743 +[2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] tv stand : 0.4592 0.9535 +[2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] whiteboard : 0.4673 0.6126 +[2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] blanket : 0.0430 0.0878 +[2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] shower curtain : 0.7014 0.7882 +[2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] trash can : 0.6449 0.8118 +[2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] closet : 0.1658 0.2444 +[2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] stairs : 0.5231 0.6599 +[2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] microwave : 0.5370 0.6552 +[2025-03-11 04:50:32,430 INFO hook.py line 689 2389709] stove : 0.6502 0.7906 +[2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] shoe : 0.4624 0.6526 +[2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] computer tower : 0.6026 0.7514 +[2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] bottle : 0.1533 0.3666 +[2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] ottoman : 0.4893 0.5003 +[2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] bench : 0.1700 0.1944 +[2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] board : 0.1647 0.2257 +[2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] washing machine: 0.8247 0.9201 +[2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] mirror : 0.3658 0.4892 +[2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] copier : 0.8794 0.9469 +[2025-03-11 04:50:32,431 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] sofa chair : 0.1452 0.1735 +[2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] file cabinet : 0.5010 0.6423 +[2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] fan : 0.4198 0.4404 +[2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] laptop : 0.5047 0.6076 +[2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] shower : 0.0894 0.0939 +[2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] paper : 0.1024 0.2115 +[2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] person : 0.4203 0.5146 +[2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] paper towel dispenser: 0.5334 0.6085 +[2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] oven : 0.1473 0.2165 +[2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 04:50:32,432 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] blackboard : 0.5832 0.6872 +[2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] piano : 0.7697 0.8657 +[2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] suitcase : 0.6006 0.7325 +[2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] rail : 0.0625 0.0692 +[2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] radiator : 0.6457 0.7026 +[2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] recycling bin : 0.4732 0.6548 +[2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] wardrobe : 0.3066 0.4446 +[2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] soap dispenser : 0.8457 0.9115 +[2025-03-11 04:50:32,433 INFO hook.py line 689 2389709] telephone : 0.3198 0.5201 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] bucket : 0.4530 0.7850 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] clock : 0.2814 0.3737 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] stand : 0.0001 0.0020 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] light : 0.0557 0.0661 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] laundry basket : 0.0750 0.0891 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] pipe : 0.0524 0.0721 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] clothes dryer : 0.6253 0.6844 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] guitar : 0.7117 0.8007 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] toilet paper holder: 0.0404 0.1515 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:50:32,434 INFO hook.py line 689 2389709] column : 0.0899 0.1127 +[2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] ladder : 0.5409 0.7137 +[2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] bathroom stall : 0.3767 0.4368 +[2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] shower wall : 0.5006 0.6439 +[2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] cup : 0.1798 0.5837 +[2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] jacket : 0.1374 0.2302 +[2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] storage bin : 0.0400 0.0737 +[2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] coffee maker : 0.6443 0.8248 +[2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] dishwasher : 0.2671 0.3001 +[2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] paper towel roll: 0.2813 0.3653 +[2025-03-11 04:50:32,435 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] mat : 0.1832 0.1923 +[2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] windowsill : 0.2154 0.2493 +[2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] bar : 0.1655 0.3188 +[2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] toaster : 0.2967 0.4670 +[2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] bulletin board : 0.2973 0.5195 +[2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] ironing board : 0.3303 0.4140 +[2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] fireplace : 0.5995 0.6231 +[2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] soap dish : 0.3588 0.4698 +[2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] kitchen counter: 0.4667 0.5537 +[2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] doorframe : 0.4066 0.6923 +[2025-03-11 04:50:32,436 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3940 0.5257 +[2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] mini fridge : 0.3718 0.4348 +[2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] fire extinguisher: 0.1028 0.1188 +[2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] ball : 0.7707 0.9409 +[2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] shower curtain rod: 0.2475 0.9211 +[2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] water cooler : 0.8062 0.9257 +[2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] paper cutter : 0.2583 0.5188 +[2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] tray : 0.0473 0.0971 +[2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] shower door : 0.1881 0.3121 +[2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 04:50:32,437 INFO hook.py line 689 2389709] ledge : 0.0689 0.0726 +[2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] toaster oven : 0.2369 0.2450 +[2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] mouse : 0.0848 0.4595 +[2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7153 0.8670 +[2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] cart : 0.3127 0.3779 +[2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] scale : 0.5754 0.8988 +[2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] tissue box : 0.2456 0.2862 +[2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] light switch : 0.0288 0.2043 +[2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:50:32,438 INFO hook.py line 689 2389709] power outlet : 0.2244 0.3695 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] decoration : 0.3199 0.6525 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] sign : 0.0031 0.0039 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] projector : 0.0400 0.6735 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] closet door : 0.1819 0.2184 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] vacuum cleaner : 0.8177 0.8907 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] plunger : 0.4840 0.9054 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] headphones : 0.0546 0.1401 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] dish rack : 0.7867 0.9578 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] broom : 0.0237 0.0505 +[2025-03-11 04:50:32,439 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] range hood : 0.7378 0.9341 +[2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] dustpan : 0.1257 0.2201 +[2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] hair dryer : 0.0142 0.0373 +[2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] handicap bar : 0.0382 0.4128 +[2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 +[2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] mailbox : 0.4553 0.4688 +[2025-03-11 04:50:32,440 INFO hook.py line 689 2389709] bowl : 0.0233 0.0292 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] paper bag : 0.0657 0.1256 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] projector screen: 0.0011 0.0011 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] divider : 0.3984 0.4502 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] laundry detergent: 0.0098 0.0127 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] bathroom counter: 0.1761 0.1910 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] object : 0.0302 0.0524 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] bathroom vanity: 0.5106 0.8309 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] closet wall : 0.0621 0.0739 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] laundry hamper : 0.0132 0.0199 +[2025-03-11 04:50:32,441 INFO hook.py line 689 2389709] bathroom stall door: 0.5197 0.7052 +[2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] ceiling light : 0.3852 0.4729 +[2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] trash bin : 0.2041 0.2558 +[2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] dumbbell : 0.5246 0.9748 +[2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] stair rail : 0.1528 0.1922 +[2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] tube : 0.1026 0.1682 +[2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] bathroom cabinet: 0.2505 0.3454 +[2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] closet rod : 0.3537 0.8472 +[2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] coffee kettle : 0.0909 0.1620 +[2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:50:32,442 INFO hook.py line 689 2389709] shower head : 0.3025 0.3659 +[2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] keyboard piano : 0.0427 0.0438 +[2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] case of water bottles: 0.0215 0.0216 +[2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] fire alarm : 0.0873 0.5333 +[2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] calendar : 0.0809 0.1537 +[2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:50:32,443 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:50:32,444 INFO hook.py line 689 2389709] mattress : 0.0718 0.0720 +[2025-03-11 04:50:32,444 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:50:32,444 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3125/0.4174/0.8148. +[2025-03-11 04:50:32,444 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:50:32,461 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3125 +[2025-03-11 04:50:32,462 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 +[2025-03-11 04:50:32,462 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:51:04,118 INFO hook.py line 566 2389709] Train: [65/100][50/300] Data 0.002 (0.002) Batch 0.548 (0.499) Remain 01:29:25 loss: 0.7021 Lr: 1.56110e-03 +[2025-03-11 04:51:28,959 INFO hook.py line 566 2389709] Train: [65/100][100/300] Data 0.004 (0.002) Batch 0.494 (0.498) Remain 01:28:47 loss: 0.6280 Lr: 1.54835e-03 +[2025-03-11 04:51:53,427 INFO hook.py line 566 2389709] Train: [65/100][150/300] Data 0.002 (0.002) Batch 0.497 (0.495) Remain 01:27:51 loss: 0.6917 Lr: 1.53562e-03 +[2025-03-11 04:52:18,185 INFO hook.py line 566 2389709] Train: [65/100][200/300] Data 0.003 (0.002) Batch 0.497 (0.495) Remain 01:27:27 loss: 0.7659 Lr: 1.52293e-03 +[2025-03-11 04:52:42,601 INFO hook.py line 566 2389709] Train: [65/100][250/300] Data 0.002 (0.002) Batch 0.545 (0.494) Remain 01:26:48 loss: 0.7197 Lr: 1.51026e-03 +[2025-03-11 04:53:07,125 INFO hook.py line 566 2389709] Train: [65/100][300/300] Data 0.002 (0.002) Batch 0.512 (0.493) Remain 01:26:18 loss: 0.6094 Lr: 1.49763e-03 +[2025-03-11 04:53:07,126 INFO misc.py line 135 2389709] Train result: loss: 0.5814 +[2025-03-11 04:53:07,240 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:53:54,981 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4770 +[2025-03-11 04:53:55,105 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1601 +[2025-03-11 04:53:55,142 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6469 +[2025-03-11 04:53:55,191 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5732 +[2025-03-11 04:53:55,242 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0206 +[2025-03-11 04:53:55,306 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0247 +[2025-03-11 04:53:55,368 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7551 +[2025-03-11 04:53:55,408 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3110 +[2025-03-11 04:53:55,461 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0621 +[2025-03-11 04:53:55,508 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9791 +[2025-03-11 04:53:55,562 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0980 +[2025-03-11 04:53:55,602 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1509 +[2025-03-11 04:53:55,665 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.9672 +[2025-03-11 04:53:55,708 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.2333 +[2025-03-11 04:53:55,747 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8725 +[2025-03-11 04:53:55,800 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0993 +[2025-03-11 04:53:55,842 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5232 +[2025-03-11 04:53:55,882 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9063 +[2025-03-11 04:53:55,930 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2959 +[2025-03-11 04:53:55,966 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7883 +[2025-03-11 04:53:56,005 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6724 +[2025-03-11 04:53:56,059 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7169 +[2025-03-11 04:53:56,091 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.8036 +[2025-03-11 04:53:56,140 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.5011 +[2025-03-11 04:53:56,183 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5739 +[2025-03-11 04:53:56,228 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2150 +[2025-03-11 04:53:56,282 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0947 +[2025-03-11 04:53:56,320 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5083 +[2025-03-11 04:53:56,358 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9247 +[2025-03-11 04:53:56,418 INFO hook.py line 748 2389709] Test: [30/78] Loss 0.9499 +[2025-03-11 04:53:56,478 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3994 +[2025-03-11 04:53:56,516 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0888 +[2025-03-11 04:53:56,584 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.1149 +[2025-03-11 04:53:56,628 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3582 +[2025-03-11 04:53:56,680 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3549 +[2025-03-11 04:53:56,728 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7257 +[2025-03-11 04:53:56,768 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.1800 +[2025-03-11 04:53:56,801 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7051 +[2025-03-11 04:53:56,869 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1285 +[2025-03-11 04:53:56,919 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6059 +[2025-03-11 04:53:56,964 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2776 +[2025-03-11 04:53:56,998 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4591 +[2025-03-11 04:53:57,043 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0400 +[2025-03-11 04:53:57,100 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8456 +[2025-03-11 04:53:57,142 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4431 +[2025-03-11 04:53:57,194 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0359 +[2025-03-11 04:53:57,233 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9376 +[2025-03-11 04:53:57,266 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9382 +[2025-03-11 04:53:57,302 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8646 +[2025-03-11 04:53:57,339 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6246 +[2025-03-11 04:53:57,369 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.8861 +[2025-03-11 04:53:57,404 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5339 +[2025-03-11 04:53:57,432 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4565 +[2025-03-11 04:53:57,471 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1502 +[2025-03-11 04:53:57,513 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2729 +[2025-03-11 04:53:57,553 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2881 +[2025-03-11 04:53:57,591 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1940 +[2025-03-11 04:53:57,621 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9430 +[2025-03-11 04:53:57,660 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8468 +[2025-03-11 04:53:57,696 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5751 +[2025-03-11 04:53:57,721 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7985 +[2025-03-11 04:53:57,757 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0059 +[2025-03-11 04:53:57,794 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2548 +[2025-03-11 04:53:57,852 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7388 +[2025-03-11 04:53:57,880 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3437 +[2025-03-11 04:53:57,927 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1196 +[2025-03-11 04:53:57,966 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9944 +[2025-03-11 04:53:58,004 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9173 +[2025-03-11 04:53:58,039 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.2776 +[2025-03-11 04:53:58,104 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7930 +[2025-03-11 04:53:58,148 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4135 +[2025-03-11 04:53:58,203 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.4237 +[2025-03-11 04:53:58,256 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7888 +[2025-03-11 04:53:58,303 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4879 +[2025-03-11 04:53:58,358 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5209 +[2025-03-11 04:53:58,390 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2522 +[2025-03-11 04:53:58,449 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5329 +[2025-03-11 04:53:58,476 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2751 +[2025-03-11 04:53:59,659 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:53:59,660 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:53:59,660 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:53:59,660 INFO hook.py line 689 2389709] wall : 0.7722 0.9282 +[2025-03-11 04:53:59,660 INFO hook.py line 689 2389709] chair : 0.6923 0.7837 +[2025-03-11 04:53:59,660 INFO hook.py line 689 2389709] floor : 0.9592 0.9817 +[2025-03-11 04:53:59,660 INFO hook.py line 689 2389709] table : 0.6219 0.7940 +[2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] door : 0.6182 0.6822 +[2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] couch : 0.8250 0.9153 +[2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] cabinet : 0.3448 0.5347 +[2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] shelf : 0.3986 0.5648 +[2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] desk : 0.5507 0.6989 +[2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] office chair : 0.2473 0.5347 +[2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] bed : 0.7719 0.8667 +[2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] pillow : 0.5516 0.6775 +[2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] sink : 0.6844 0.7853 +[2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] picture : 0.3658 0.5576 +[2025-03-11 04:53:59,661 INFO hook.py line 689 2389709] window : 0.5632 0.7292 +[2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] toilet : 0.9163 0.9676 +[2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] bookshelf : 0.4878 0.6836 +[2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] monitor : 0.8184 0.8686 +[2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] curtain : 0.6721 0.7653 +[2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] book : 0.4521 0.6748 +[2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] armchair : 0.5395 0.6604 +[2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] coffee table : 0.6293 0.7237 +[2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] box : 0.3139 0.4655 +[2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] refrigerator : 0.6415 0.7259 +[2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] lamp : 0.6742 0.8074 +[2025-03-11 04:53:59,662 INFO hook.py line 689 2389709] kitchen cabinet: 0.6488 0.7499 +[2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] towel : 0.5306 0.6905 +[2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] clothes : 0.2395 0.3646 +[2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] tv : 0.8422 0.8995 +[2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] nightstand : 0.7058 0.8767 +[2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] counter : 0.3213 0.5124 +[2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] dresser : 0.3725 0.4594 +[2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] stool : 0.5017 0.7706 +[2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] plant : 0.7698 0.9103 +[2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] ceiling : 0.9318 0.9661 +[2025-03-11 04:53:59,663 INFO hook.py line 689 2389709] bathtub : 0.8584 0.9140 +[2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] end table : 0.2057 0.2492 +[2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] dining table : 0.0179 0.0293 +[2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] keyboard : 0.4475 0.5593 +[2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] bag : 0.1347 0.1670 +[2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] backpack : 0.5830 0.6486 +[2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] toilet paper : 0.4731 0.5833 +[2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] printer : 0.4902 0.5813 +[2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] tv stand : 0.7108 0.9196 +[2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] whiteboard : 0.4931 0.6919 +[2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] blanket : 0.0518 0.0791 +[2025-03-11 04:53:59,664 INFO hook.py line 689 2389709] shower curtain : 0.6668 0.7112 +[2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] trash can : 0.6270 0.8140 +[2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] closet : 0.1200 0.1507 +[2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] stairs : 0.4862 0.6625 +[2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] microwave : 0.4366 0.6082 +[2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] stove : 0.5828 0.7929 +[2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] shoe : 0.4822 0.6152 +[2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] computer tower : 0.5620 0.7469 +[2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] bottle : 0.0725 0.1386 +[2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] bin : 0.0153 0.0405 +[2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] ottoman : 0.3577 0.4282 +[2025-03-11 04:53:59,665 INFO hook.py line 689 2389709] bench : 0.2000 0.2282 +[2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] board : 0.2016 0.3472 +[2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] washing machine: 0.7645 0.8707 +[2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] mirror : 0.3587 0.4410 +[2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] copier : 0.8149 0.8721 +[2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] sofa chair : 0.1371 0.1797 +[2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] file cabinet : 0.4510 0.4987 +[2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] fan : 0.3909 0.4193 +[2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] laptop : 0.5628 0.7822 +[2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] shower : 0.0880 0.0912 +[2025-03-11 04:53:59,666 INFO hook.py line 689 2389709] paper : 0.0246 0.0340 +[2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] person : 0.3124 0.6939 +[2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] paper towel dispenser: 0.5358 0.8205 +[2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] oven : 0.0012 0.0012 +[2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] blinds : 0.0004 0.0004 +[2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] plate : 0.0853 0.1833 +[2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] blackboard : 0.6096 0.7193 +[2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] piano : 0.4769 0.8484 +[2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] suitcase : 0.6188 0.6951 +[2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] rail : 0.0326 0.0369 +[2025-03-11 04:53:59,667 INFO hook.py line 689 2389709] radiator : 0.5784 0.6856 +[2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] recycling bin : 0.4139 0.6405 +[2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] wardrobe : 0.1878 0.2279 +[2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] soap dispenser : 0.6970 0.9186 +[2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] telephone : 0.3206 0.5872 +[2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] bucket : 0.2521 0.5649 +[2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] clock : 0.3112 0.3638 +[2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] light : 0.0064 0.0072 +[2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] laundry basket : 0.0857 0.1053 +[2025-03-11 04:53:59,668 INFO hook.py line 689 2389709] pipe : 0.0397 0.0523 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] clothes dryer : 0.2839 0.2855 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] guitar : 0.6800 0.7068 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] toilet paper holder: 0.0025 0.0098 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] column : 0.0663 0.0685 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] ladder : 0.5161 0.5244 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] bathroom stall : 0.5309 0.6826 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] shower wall : 0.4909 0.6568 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] cup : 0.2313 0.3901 +[2025-03-11 04:53:59,669 INFO hook.py line 689 2389709] jacket : 0.1718 0.2385 +[2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] storage bin : 0.0405 0.0561 +[2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] coffee maker : 0.6842 0.9935 +[2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] dishwasher : 0.2143 0.3771 +[2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] paper towel roll: 0.2138 0.2469 +[2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] mat : 0.1503 0.1563 +[2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] windowsill : 0.2730 0.3195 +[2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] bar : 0.0947 0.2744 +[2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] toaster : 0.2819 0.5360 +[2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] bulletin board : 0.2358 0.4159 +[2025-03-11 04:53:59,670 INFO hook.py line 689 2389709] ironing board : 0.0949 0.1277 +[2025-03-11 04:53:59,671 INFO hook.py line 689 2389709] fireplace : 0.5315 0.6239 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] soap dish : 0.3726 0.5144 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] kitchen counter: 0.5477 0.7222 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] doorframe : 0.4076 0.7134 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] toilet paper dispenser: 0.5311 0.7301 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] mini fridge : 0.2567 0.2780 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] fire extinguisher: 0.2175 0.3291 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] ball : 0.5609 0.6276 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] shower curtain rod: 0.4062 0.8861 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] water cooler : 0.5706 0.6105 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] paper cutter : 0.3301 0.3992 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] tray : 0.0374 0.0561 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] shower door : 0.1589 0.1632 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] ledge : 0.0973 0.1288 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] toaster oven : 0.0380 0.0384 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] mouse : 0.0644 0.5247 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6166 0.8450 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] cart : 0.1551 0.1671 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] scale : 0.2922 0.9579 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] tissue box : 0.1992 0.3063 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] light switch : 0.0340 0.1311 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] power outlet : 0.1646 0.2700 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] decoration : 0.1381 0.2099 +[2025-03-11 04:53:59,672 INFO hook.py line 689 2389709] sign : 0.0014 0.0021 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] projector : 0.0556 0.5969 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] closet door : 0.0972 0.1069 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] vacuum cleaner : 0.7216 0.8011 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] plunger : 0.4472 0.9542 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] headphones : 0.0032 0.0035 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] dish rack : 0.6411 0.9242 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] broom : 0.0900 0.1238 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] range hood : 0.7423 0.9268 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] dustpan : 0.0650 0.1019 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] water bottle : 0.0101 0.0216 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] handicap bar : 0.0521 0.8216 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] mailbox : 0.5103 0.5312 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] bowl : 0.2830 0.3189 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] paper bag : 0.0654 0.1053 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] projector screen: 0.0054 0.0059 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] divider : 0.4594 0.5047 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] bathroom counter: 0.2502 0.5177 +[2025-03-11 04:53:59,673 INFO hook.py line 689 2389709] object : 0.0393 0.0775 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] bathroom vanity: 0.4776 0.7332 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] closet wall : 0.0209 0.0296 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] laundry hamper : 0.0000 0.0000 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] bathroom stall door: 0.5307 0.6160 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] ceiling light : 0.2932 0.3314 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] trash bin : 0.2882 0.3814 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] dumbbell : 0.7591 0.9781 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] stair rail : 0.1063 0.1220 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] tube : 0.0897 0.1147 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] bathroom cabinet: 0.4515 0.6357 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] closet rod : 0.6658 0.7862 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] coffee kettle : 0.3052 0.8176 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] shower head : 0.3161 0.3537 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] keyboard piano : 0.0357 0.0399 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] coat rack : 0.0014 0.0024 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] folded chair : 0.0007 0.0010 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] fire alarm : 0.0101 0.0476 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] potted plant : 0.0238 0.0342 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:53:59,674 INFO hook.py line 689 2389709] mattress : 0.0110 0.0110 +[2025-03-11 04:53:59,674 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:53:59,674 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3016/0.4020/0.8127. +[2025-03-11 04:53:59,675 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:53:59,677 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 +[2025-03-11 04:53:59,677 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:54:29,912 INFO hook.py line 566 2389709] Train: [66/100][50/300] Data 0.002 (0.002) Batch 0.428 (0.490) Remain 01:25:17 loss: 0.7138 Lr: 1.48502e-03 +[2025-03-11 04:54:54,124 INFO hook.py line 566 2389709] Train: [66/100][100/300] Data 0.002 (0.002) Batch 0.490 (0.487) Remain 01:24:23 loss: 0.6078 Lr: 1.47245e-03 +[2025-03-11 04:55:18,475 INFO hook.py line 566 2389709] Train: [66/100][150/300] Data 0.002 (0.002) Batch 0.555 (0.487) Remain 01:23:59 loss: 0.6157 Lr: 1.45990e-03 +[2025-03-11 04:55:43,327 INFO hook.py line 566 2389709] Train: [66/100][200/300] Data 0.003 (0.002) Batch 0.519 (0.489) Remain 01:24:01 loss: 0.6116 Lr: 1.44739e-03 +[2025-03-11 04:56:08,123 INFO hook.py line 566 2389709] Train: [66/100][250/300] Data 0.005 (0.002) Batch 0.502 (0.491) Remain 01:23:50 loss: 0.5223 Lr: 1.43491e-03 +[2025-03-11 04:56:32,206 INFO hook.py line 566 2389709] Train: [66/100][300/300] Data 0.001 (0.002) Batch 0.477 (0.489) Remain 01:23:10 loss: 0.7343 Lr: 1.42246e-03 +[2025-03-11 04:56:32,207 INFO misc.py line 135 2389709] Train result: loss: 0.5696 +[2025-03-11 04:56:32,300 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 04:57:22,068 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4753 +[2025-03-11 04:57:22,177 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3290 +[2025-03-11 04:57:22,214 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4614 +[2025-03-11 04:57:22,265 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4876 +[2025-03-11 04:57:22,313 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8056 +[2025-03-11 04:57:22,376 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9707 +[2025-03-11 04:57:22,428 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.6381 +[2025-03-11 04:57:22,465 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4713 +[2025-03-11 04:57:22,514 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1589 +[2025-03-11 04:57:22,550 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1947 +[2025-03-11 04:57:22,607 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1144 +[2025-03-11 04:57:22,641 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4151 +[2025-03-11 04:57:22,693 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1594 +[2025-03-11 04:57:22,730 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4389 +[2025-03-11 04:57:22,770 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.9297 +[2025-03-11 04:57:22,816 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0840 +[2025-03-11 04:57:22,859 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5682 +[2025-03-11 04:57:22,898 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8322 +[2025-03-11 04:57:22,945 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5407 +[2025-03-11 04:57:22,990 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5187 +[2025-03-11 04:57:23,031 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7670 +[2025-03-11 04:57:23,075 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6404 +[2025-03-11 04:57:23,115 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6485 +[2025-03-11 04:57:23,167 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9634 +[2025-03-11 04:57:23,221 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4866 +[2025-03-11 04:57:23,263 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2181 +[2025-03-11 04:57:23,318 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9319 +[2025-03-11 04:57:23,354 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6163 +[2025-03-11 04:57:23,385 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1663 +[2025-03-11 04:57:23,448 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0082 +[2025-03-11 04:57:23,506 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4893 +[2025-03-11 04:57:23,553 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2640 +[2025-03-11 04:57:23,615 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8878 +[2025-03-11 04:57:23,654 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3759 +[2025-03-11 04:57:23,695 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1371 +[2025-03-11 04:57:23,735 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5368 +[2025-03-11 04:57:23,774 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.2291 +[2025-03-11 04:57:23,805 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8602 +[2025-03-11 04:57:23,871 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8351 +[2025-03-11 04:57:23,921 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3780 +[2025-03-11 04:57:23,972 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3724 +[2025-03-11 04:57:24,004 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4334 +[2025-03-11 04:57:24,043 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8251 +[2025-03-11 04:57:24,104 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9409 +[2025-03-11 04:57:24,139 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7141 +[2025-03-11 04:57:24,198 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1190 +[2025-03-11 04:57:24,239 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7910 +[2025-03-11 04:57:24,277 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1494 +[2025-03-11 04:57:24,312 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5894 +[2025-03-11 04:57:24,345 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0093 +[2025-03-11 04:57:24,376 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0366 +[2025-03-11 04:57:24,416 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5496 +[2025-03-11 04:57:24,443 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2416 +[2025-03-11 04:57:24,482 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.5101 +[2025-03-11 04:57:24,521 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4933 +[2025-03-11 04:57:24,566 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9834 +[2025-03-11 04:57:24,604 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2323 +[2025-03-11 04:57:24,632 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9511 +[2025-03-11 04:57:24,673 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8256 +[2025-03-11 04:57:24,710 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4722 +[2025-03-11 04:57:24,737 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7072 +[2025-03-11 04:57:24,772 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9860 +[2025-03-11 04:57:24,813 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3615 +[2025-03-11 04:57:24,874 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8242 +[2025-03-11 04:57:24,901 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0906 +[2025-03-11 04:57:24,945 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2936 +[2025-03-11 04:57:24,988 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9695 +[2025-03-11 04:57:25,025 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3981 +[2025-03-11 04:57:25,056 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4583 +[2025-03-11 04:57:25,116 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0153 +[2025-03-11 04:57:25,163 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7445 +[2025-03-11 04:57:25,218 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7290 +[2025-03-11 04:57:25,270 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6129 +[2025-03-11 04:57:25,314 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4587 +[2025-03-11 04:57:25,365 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5031 +[2025-03-11 04:57:25,393 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9735 +[2025-03-11 04:57:25,453 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.8342 +[2025-03-11 04:57:25,483 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.8794 +[2025-03-11 04:57:26,718 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 04:57:26,718 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 04:57:26,718 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 04:57:26,718 INFO hook.py line 689 2389709] wall : 0.7945 0.9193 +[2025-03-11 04:57:26,718 INFO hook.py line 689 2389709] chair : 0.6886 0.7761 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] floor : 0.9581 0.9824 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] table : 0.6404 0.7597 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] door : 0.6715 0.8229 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] couch : 0.8005 0.8705 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] cabinet : 0.3654 0.5281 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] shelf : 0.3586 0.4755 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] desk : 0.5609 0.8170 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] office chair : 0.3112 0.6913 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] bed : 0.7687 0.8569 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] pillow : 0.5530 0.7899 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] sink : 0.6654 0.7691 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] picture : 0.3536 0.5562 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] window : 0.5691 0.7885 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] toilet : 0.9234 0.9430 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] bookshelf : 0.4703 0.7012 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] monitor : 0.8264 0.8810 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] curtain : 0.7455 0.8319 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] book : 0.4364 0.7056 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] armchair : 0.5645 0.7773 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] coffee table : 0.6147 0.7030 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] box : 0.2954 0.4148 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] refrigerator : 0.6031 0.7397 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] lamp : 0.6944 0.8068 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] kitchen cabinet: 0.5850 0.6348 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] towel : 0.5272 0.6888 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] clothes : 0.2134 0.4639 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] tv : 0.8619 0.9170 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] nightstand : 0.6697 0.8583 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] counter : 0.2503 0.4802 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] dresser : 0.3599 0.4289 +[2025-03-11 04:57:26,719 INFO hook.py line 689 2389709] stool : 0.5465 0.7856 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] plant : 0.7657 0.9137 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] ceiling : 0.9263 0.9553 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] bathtub : 0.8672 0.9048 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] end table : 0.2819 0.4281 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] dining table : 0.0000 0.0000 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] keyboard : 0.4092 0.4844 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] bag : 0.1324 0.2075 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] backpack : 0.5787 0.6881 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] toilet paper : 0.4296 0.4879 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] printer : 0.3356 0.5584 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] tv stand : 0.6258 0.8242 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] whiteboard : 0.5068 0.6858 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] blanket : 0.0095 0.0137 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] shower curtain : 0.7278 0.8294 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] trash can : 0.5413 0.8207 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] closet : 0.1214 0.1517 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] stairs : 0.4291 0.6673 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] microwave : 0.6163 0.7455 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] stove : 0.6081 0.8161 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] shoe : 0.4387 0.7708 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] computer tower : 0.6267 0.8197 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] bottle : 0.1372 0.2919 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] ottoman : 0.4034 0.4358 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] bench : 0.2712 0.2883 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] board : 0.2074 0.2798 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] washing machine: 0.8257 0.9101 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] mirror : 0.3488 0.4733 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] copier : 0.8286 0.9304 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 04:57:26,720 INFO hook.py line 689 2389709] sofa chair : 0.2102 0.3144 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] file cabinet : 0.4568 0.7090 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] fan : 0.3997 0.5154 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] laptop : 0.4602 0.6385 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] shower : 0.3299 0.3975 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] paper : 0.0367 0.0492 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] person : 0.3087 0.5262 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] paper towel dispenser: 0.5371 0.7975 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] oven : 0.0668 0.0799 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] blinds : 0.0177 0.0183 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] plate : 0.1100 0.2119 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] blackboard : 0.5925 0.6688 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] piano : 0.5782 0.8093 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] suitcase : 0.5841 0.6275 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] rail : 0.0501 0.0551 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] radiator : 0.6543 0.7323 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] recycling bin : 0.4188 0.7027 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] wardrobe : 0.1704 0.1841 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] soap dispenser : 0.8457 0.9125 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] telephone : 0.3589 0.4573 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] bucket : 0.3309 0.5462 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] clock : 0.1973 0.2163 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] light : 0.0123 0.0129 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] laundry basket : 0.0111 0.0112 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] pipe : 0.0816 0.1444 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] clothes dryer : 0.6062 0.6215 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] guitar : 0.7246 0.7426 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] toilet paper holder: 0.0536 0.1587 +[2025-03-11 04:57:26,721 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] column : 0.0494 0.0517 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] ladder : 0.5561 0.6298 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] bathroom stall : 0.4882 0.5589 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] shower wall : 0.4319 0.4962 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] cup : 0.1602 0.5154 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] jacket : 0.2200 0.3124 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] storage bin : 0.0045 0.0053 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] coffee maker : 0.5915 0.9923 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] dishwasher : 0.3573 0.5959 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] paper towel roll: 0.3057 0.3918 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] mat : 0.2816 0.3111 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] windowsill : 0.1676 0.1824 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] bar : 0.1176 0.1878 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] toaster : 0.1935 0.2552 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] bulletin board : 0.2011 0.3177 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] ironing board : 0.1398 0.1647 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] fireplace : 0.5886 0.6186 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] soap dish : 0.3536 0.4764 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] kitchen counter: 0.4778 0.6318 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] doorframe : 0.4157 0.6536 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4257 0.6258 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] mini fridge : 0.2466 0.2841 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] fire extinguisher: 0.1465 0.2571 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] ball : 0.6259 0.6281 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] shower curtain rod: 0.3061 0.8859 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] water cooler : 0.6027 0.8715 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] paper cutter : 0.2765 0.3331 +[2025-03-11 04:57:26,722 INFO hook.py line 689 2389709] tray : 0.0351 0.0648 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] shower door : 0.1408 0.2063 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] ledge : 0.0342 0.0465 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] mouse : 0.2254 0.3467 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7756 0.8219 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] cart : 0.1161 0.1200 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] scale : 0.2762 0.9031 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] tissue box : 0.1477 0.2032 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] light switch : 0.0793 0.1963 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] power outlet : 0.1317 0.1762 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] decoration : 0.3608 0.6612 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] sign : 0.0080 0.0086 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] projector : 0.1683 0.6111 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] closet door : 0.0596 0.0667 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] vacuum cleaner : 0.9361 0.9740 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] plunger : 0.4625 0.9587 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] headphones : 0.0008 0.0017 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] dish rack : 0.7498 0.9021 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] broom : 0.1009 0.1127 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 04:57:26,723 INFO hook.py line 689 2389709] range hood : 0.5992 0.6845 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] dustpan : 0.0593 0.1515 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] hair dryer : 0.0119 0.0179 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] water bottle : 0.0617 0.0972 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] handicap bar : 0.0596 0.9193 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] shower floor : 0.0000 0.0000 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] mailbox : 0.3817 0.3930 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] bowl : 0.1825 0.2980 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] paper bag : 0.0717 0.1539 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] projector screen: 0.0014 0.0014 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] divider : 0.4651 0.5468 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] bathroom counter: 0.1764 0.2715 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] object : 0.0401 0.0742 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] bathroom vanity: 0.4646 0.8466 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] closet wall : 0.1176 0.1636 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] laundry hamper : 0.0083 0.0086 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] bathroom stall door: 0.4729 0.6798 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] ceiling light : 0.3553 0.4632 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] trash bin : 0.2916 0.4258 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] dumbbell : 0.8489 0.9626 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] stair rail : 0.0983 0.1104 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] tube : 0.0495 0.0971 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] bathroom cabinet: 0.1240 0.2284 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] closet rod : 0.5009 0.8742 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] coffee kettle : 0.3296 0.4124 +[2025-03-11 04:57:26,724 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] shower head : 0.3095 0.3535 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] case of water bottles: 0.0000 0.0000 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] coat rack : 0.0069 0.0310 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] calendar : 0.0014 0.0028 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 04:57:26,725 INFO hook.py line 689 2389709] mattress : 0.0115 0.0115 +[2025-03-11 04:57:26,725 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 04:57:26,725 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3055/0.4065/0.8168. +[2025-03-11 04:57:26,725 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 04:57:26,743 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 +[2025-03-11 04:57:26,743 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 04:57:57,465 INFO hook.py line 566 2389709] Train: [67/100][50/300] Data 0.002 (0.002) Batch 0.549 (0.493) Remain 01:23:27 loss: 0.8489 Lr: 1.41005e-03 +[2025-03-11 04:58:21,810 INFO hook.py line 566 2389709] Train: [67/100][100/300] Data 0.003 (0.002) Batch 0.415 (0.490) Remain 01:22:29 loss: 0.5165 Lr: 1.39767e-03 +[2025-03-11 04:58:46,414 INFO hook.py line 566 2389709] Train: [67/100][150/300] Data 0.002 (0.002) Batch 0.459 (0.491) Remain 01:22:11 loss: 0.8064 Lr: 1.38532e-03 +[2025-03-11 04:59:11,192 INFO hook.py line 566 2389709] Train: [67/100][200/300] Data 0.003 (0.002) Batch 0.518 (0.492) Remain 01:21:59 loss: 0.5884 Lr: 1.37300e-03 +[2025-03-11 04:59:35,724 INFO hook.py line 566 2389709] Train: [67/100][250/300] Data 0.002 (0.002) Batch 0.517 (0.492) Remain 01:21:32 loss: 0.6064 Lr: 1.36072e-03 +[2025-03-11 04:59:59,571 INFO hook.py line 566 2389709] Train: [67/100][300/300] Data 0.002 (0.002) Batch 0.434 (0.489) Remain 01:20:43 loss: 0.4850 Lr: 1.34848e-03 +[2025-03-11 04:59:59,572 INFO misc.py line 135 2389709] Train result: loss: 0.5641 +[2025-03-11 04:59:59,669 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:00:48,258 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5475 +[2025-03-11 05:00:48,305 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1391 +[2025-03-11 05:00:48,340 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.6043 +[2025-03-11 05:00:48,392 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4880 +[2025-03-11 05:00:48,431 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7384 +[2025-03-11 05:00:48,488 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.6182 +[2025-03-11 05:00:48,540 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8898 +[2025-03-11 05:00:48,570 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2640 +[2025-03-11 05:00:48,620 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1939 +[2025-03-11 05:00:48,660 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2609 +[2025-03-11 05:00:48,709 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.0898 +[2025-03-11 05:00:48,746 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8897 +[2025-03-11 05:00:48,795 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4427 +[2025-03-11 05:00:48,837 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3157 +[2025-03-11 05:00:48,872 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1851 +[2025-03-11 05:00:48,918 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0850 +[2025-03-11 05:00:48,957 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4109 +[2025-03-11 05:00:48,997 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.7750 +[2025-03-11 05:00:49,050 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7076 +[2025-03-11 05:00:49,088 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.3798 +[2025-03-11 05:00:49,123 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6959 +[2025-03-11 05:00:49,165 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8634 +[2025-03-11 05:00:49,197 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2427 +[2025-03-11 05:00:49,251 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.6675 +[2025-03-11 05:00:49,293 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.2386 +[2025-03-11 05:00:49,343 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1480 +[2025-03-11 05:00:49,399 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0766 +[2025-03-11 05:00:49,440 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8995 +[2025-03-11 05:00:49,488 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0605 +[2025-03-11 05:00:49,544 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4077 +[2025-03-11 05:00:49,608 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3195 +[2025-03-11 05:00:49,650 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.1248 +[2025-03-11 05:00:49,707 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.9680 +[2025-03-11 05:00:49,750 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1114 +[2025-03-11 05:00:49,790 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3139 +[2025-03-11 05:00:49,829 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4794 +[2025-03-11 05:00:49,872 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3505 +[2025-03-11 05:00:49,906 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8416 +[2025-03-11 05:00:49,976 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8522 +[2025-03-11 05:00:50,023 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5651 +[2025-03-11 05:00:50,071 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5650 +[2025-03-11 05:00:50,100 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4628 +[2025-03-11 05:00:50,152 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8135 +[2025-03-11 05:00:50,226 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8978 +[2025-03-11 05:00:50,261 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.0649 +[2025-03-11 05:00:50,309 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1102 +[2025-03-11 05:00:50,351 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9157 +[2025-03-11 05:00:50,388 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0152 +[2025-03-11 05:00:50,420 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4616 +[2025-03-11 05:00:50,453 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8527 +[2025-03-11 05:00:50,487 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2948 +[2025-03-11 05:00:50,524 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7028 +[2025-03-11 05:00:50,556 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3758 +[2025-03-11 05:00:50,592 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0214 +[2025-03-11 05:00:50,629 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3480 +[2025-03-11 05:00:50,670 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8878 +[2025-03-11 05:00:50,703 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0717 +[2025-03-11 05:00:50,729 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9950 +[2025-03-11 05:00:50,771 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8957 +[2025-03-11 05:00:50,812 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6886 +[2025-03-11 05:00:50,842 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0734 +[2025-03-11 05:00:50,882 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9163 +[2025-03-11 05:00:50,918 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.7363 +[2025-03-11 05:00:50,975 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.3323 +[2025-03-11 05:00:51,008 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1985 +[2025-03-11 05:00:51,051 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9871 +[2025-03-11 05:00:51,090 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0336 +[2025-03-11 05:00:51,131 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0582 +[2025-03-11 05:00:51,164 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3528 +[2025-03-11 05:00:51,225 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9787 +[2025-03-11 05:00:51,269 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9646 +[2025-03-11 05:00:51,326 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5820 +[2025-03-11 05:00:51,384 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6261 +[2025-03-11 05:00:51,427 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6481 +[2025-03-11 05:00:51,479 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5854 +[2025-03-11 05:00:51,508 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.3786 +[2025-03-11 05:00:51,570 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5953 +[2025-03-11 05:00:51,597 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9349 +[2025-03-11 05:00:52,815 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:00:52,815 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:00:52,816 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] wall : 0.7919 0.9239 +[2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] chair : 0.7084 0.8231 +[2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] floor : 0.9588 0.9826 +[2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] table : 0.6203 0.7718 +[2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] door : 0.6411 0.7450 +[2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] couch : 0.7747 0.9129 +[2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] cabinet : 0.3470 0.5149 +[2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] shelf : 0.4124 0.5772 +[2025-03-11 05:00:52,816 INFO hook.py line 689 2389709] desk : 0.5553 0.7779 +[2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] office chair : 0.2550 0.4545 +[2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] bed : 0.7564 0.8750 +[2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] pillow : 0.5677 0.7568 +[2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] sink : 0.6612 0.7661 +[2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] picture : 0.3766 0.5159 +[2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] window : 0.5719 0.7869 +[2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] toilet : 0.9351 0.9506 +[2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] bookshelf : 0.4703 0.6474 +[2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] monitor : 0.8225 0.8667 +[2025-03-11 05:00:52,817 INFO hook.py line 689 2389709] curtain : 0.6947 0.8403 +[2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] book : 0.4462 0.6500 +[2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] armchair : 0.5884 0.8096 +[2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] coffee table : 0.7014 0.8167 +[2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] box : 0.3119 0.4208 +[2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] refrigerator : 0.6232 0.6477 +[2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] lamp : 0.6956 0.7826 +[2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] kitchen cabinet: 0.6722 0.7747 +[2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] towel : 0.5152 0.6853 +[2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] clothes : 0.2029 0.3917 +[2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] tv : 0.8258 0.8603 +[2025-03-11 05:00:52,818 INFO hook.py line 689 2389709] nightstand : 0.6391 0.8756 +[2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] counter : 0.2908 0.4955 +[2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] dresser : 0.3550 0.4811 +[2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] stool : 0.4912 0.5792 +[2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] plant : 0.7251 0.8236 +[2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] ceiling : 0.9297 0.9670 +[2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] bathtub : 0.8753 0.8992 +[2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] end table : 0.2543 0.3799 +[2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] dining table : 0.0096 0.0114 +[2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] keyboard : 0.3959 0.4706 +[2025-03-11 05:00:52,819 INFO hook.py line 689 2389709] bag : 0.2220 0.3408 +[2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] backpack : 0.5956 0.6571 +[2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] toilet paper : 0.4996 0.5788 +[2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] printer : 0.4533 0.5912 +[2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] tv stand : 0.5797 0.9038 +[2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] whiteboard : 0.4931 0.5979 +[2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] blanket : 0.0174 0.0286 +[2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] shower curtain : 0.7123 0.8249 +[2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] trash can : 0.5893 0.7009 +[2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] closet : 0.1196 0.1418 +[2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] stairs : 0.5927 0.6863 +[2025-03-11 05:00:52,820 INFO hook.py line 689 2389709] microwave : 0.5492 0.7494 +[2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] stove : 0.6506 0.8739 +[2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] shoe : 0.4518 0.6159 +[2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] computer tower : 0.4780 0.8717 +[2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] bottle : 0.1057 0.2515 +[2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] bin : 0.0338 0.0707 +[2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] ottoman : 0.2925 0.3181 +[2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] bench : 0.2368 0.2646 +[2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] board : 0.2099 0.3186 +[2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] washing machine: 0.7657 0.9696 +[2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] mirror : 0.3692 0.5314 +[2025-03-11 05:00:52,821 INFO hook.py line 689 2389709] copier : 0.8621 0.9494 +[2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] sofa chair : 0.1311 0.1602 +[2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] file cabinet : 0.4084 0.4999 +[2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] fan : 0.4402 0.4881 +[2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] laptop : 0.5573 0.6861 +[2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] shower : 0.3524 0.3965 +[2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] paper : 0.0308 0.0454 +[2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] person : 0.3037 0.5388 +[2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] paper towel dispenser: 0.5493 0.7920 +[2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] oven : 0.1170 0.1503 +[2025-03-11 05:00:52,822 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] blackboard : 0.5815 0.7119 +[2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] piano : 0.5776 0.8053 +[2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] suitcase : 0.5729 0.6465 +[2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] rail : 0.0374 0.0514 +[2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] radiator : 0.6101 0.6873 +[2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] recycling bin : 0.4516 0.6748 +[2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] container : 0.0114 0.0302 +[2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] wardrobe : 0.2178 0.3156 +[2025-03-11 05:00:52,823 INFO hook.py line 689 2389709] soap dispenser : 0.8460 0.9171 +[2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] telephone : 0.2929 0.3689 +[2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] bucket : 0.3474 0.4448 +[2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] clock : 0.3026 0.3506 +[2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] light : 0.0214 0.0261 +[2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] laundry basket : 0.0072 0.0077 +[2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] pipe : 0.0548 0.0842 +[2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] clothes dryer : 0.4984 0.5033 +[2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] guitar : 0.5655 0.6024 +[2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] toilet paper holder: 0.0634 0.0883 +[2025-03-11 05:00:52,824 INFO hook.py line 689 2389709] seat : 0.0002 0.0003 +[2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] column : 0.1498 0.1653 +[2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] ladder : 0.4082 0.6475 +[2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] bathroom stall : 0.5078 0.5939 +[2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] shower wall : 0.4242 0.5268 +[2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] cup : 0.2378 0.3673 +[2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] jacket : 0.2019 0.2720 +[2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] storage bin : 0.0487 0.0671 +[2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] coffee maker : 0.6118 0.9654 +[2025-03-11 05:00:52,825 INFO hook.py line 689 2389709] dishwasher : 0.3902 0.5583 +[2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] paper towel roll: 0.2702 0.3120 +[2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] mat : 0.2137 0.2231 +[2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] windowsill : 0.2337 0.2969 +[2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] bar : 0.0772 0.2318 +[2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] toaster : 0.2200 0.3133 +[2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] bulletin board : 0.2838 0.4710 +[2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] ironing board : 0.2234 0.2359 +[2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] fireplace : 0.5795 0.6395 +[2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] soap dish : 0.3618 0.4939 +[2025-03-11 05:00:52,826 INFO hook.py line 689 2389709] kitchen counter: 0.5413 0.6255 +[2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] doorframe : 0.4079 0.5784 +[2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4388 0.6344 +[2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] mini fridge : 0.2909 0.3062 +[2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] fire extinguisher: 0.1802 0.2637 +[2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] ball : 0.6716 0.9375 +[2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] shower curtain rod: 0.4184 0.9107 +[2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] water cooler : 0.0259 0.0259 +[2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] paper cutter : 0.3026 0.3703 +[2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] tray : 0.0626 0.1440 +[2025-03-11 05:00:52,827 INFO hook.py line 689 2389709] shower door : 0.2543 0.3826 +[2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] pillar : 0.0047 0.0047 +[2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] ledge : 0.0640 0.0825 +[2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] toaster oven : 0.1650 0.1943 +[2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] mouse : 0.0918 0.1749 +[2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7431 0.8093 +[2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] cart : 0.3172 0.4185 +[2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] scale : 0.3166 0.6187 +[2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] tissue box : 0.1865 0.2555 +[2025-03-11 05:00:52,828 INFO hook.py line 689 2389709] light switch : 0.0344 0.1169 +[2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] power outlet : 0.1954 0.2757 +[2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] decoration : 0.3474 0.6252 +[2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] projector : 0.2352 0.9397 +[2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] closet door : 0.0570 0.0606 +[2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] vacuum cleaner : 0.7823 0.9637 +[2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] plunger : 0.5214 0.9776 +[2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:00:52,829 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] dish rack : 0.6792 0.9791 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] broom : 0.0482 0.0739 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] range hood : 0.7058 0.8206 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] dustpan : 0.0709 0.2510 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] hair dryer : 0.0025 0.0040 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] handicap bar : 0.0005 0.0058 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] shower floor : 0.8772 0.9839 +[2025-03-11 05:00:52,830 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] mailbox : 0.4638 0.4901 +[2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] bowl : 0.0000 0.0000 +[2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] paper bag : 0.0531 0.0629 +[2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] projector screen: 0.0001 0.0001 +[2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] divider : 0.4440 0.5116 +[2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] bathroom counter: 0.3267 0.4694 +[2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] object : 0.0434 0.0795 +[2025-03-11 05:00:52,831 INFO hook.py line 689 2389709] bathroom vanity: 0.4227 0.8496 +[2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] closet wall : 0.0249 0.0343 +[2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] laundry hamper : 0.0001 0.0002 +[2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] bathroom stall door: 0.5777 0.6546 +[2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] ceiling light : 0.1549 0.1679 +[2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] trash bin : 0.2455 0.3645 +[2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] dumbbell : 0.6535 0.9813 +[2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] stair rail : 0.0410 0.0427 +[2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] tube : 0.1081 0.1417 +[2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] bathroom cabinet: 0.0676 0.1321 +[2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:00:52,832 INFO hook.py line 689 2389709] closet rod : 0.3935 0.9066 +[2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] coffee kettle : 0.1094 0.1162 +[2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] shower head : 0.2926 0.3424 +[2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] case of water bottles: 0.0042 0.0043 +[2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] fire alarm : 0.0622 0.3333 +[2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:00:52,833 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:00:52,834 INFO hook.py line 689 2389709] poster : 0.0011 0.0011 +[2025-03-11 05:00:52,834 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:00:52,834 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:00:52,834 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 05:00:52,834 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:00:52,834 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3064/0.4005/0.8185. +[2025-03-11 05:00:52,835 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:00:52,854 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 +[2025-03-11 05:00:52,855 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:01:23,038 INFO hook.py line 566 2389709] Train: [68/100][50/300] Data 0.002 (0.002) Batch 0.430 (0.501) Remain 01:22:11 loss: 0.5470 Lr: 1.33627e-03 +[2025-03-11 05:01:47,784 INFO hook.py line 566 2389709] Train: [68/100][100/300] Data 0.002 (0.002) Batch 0.485 (0.498) Remain 01:21:17 loss: 0.6020 Lr: 1.32434e-03 +[2025-03-11 05:02:12,560 INFO hook.py line 566 2389709] Train: [68/100][150/300] Data 0.002 (0.002) Batch 0.445 (0.497) Remain 01:20:45 loss: 0.3498 Lr: 1.31220e-03 +[2025-03-11 05:02:36,707 INFO hook.py line 566 2389709] Train: [68/100][200/300] Data 0.004 (0.002) Batch 0.507 (0.493) Remain 01:19:46 loss: 0.7024 Lr: 1.30009e-03 +[2025-03-11 05:03:01,698 INFO hook.py line 566 2389709] Train: [68/100][250/300] Data 0.002 (0.002) Batch 0.460 (0.495) Remain 01:19:33 loss: 0.6550 Lr: 1.28803e-03 +[2025-03-11 05:03:25,762 INFO hook.py line 566 2389709] Train: [68/100][300/300] Data 0.002 (0.002) Batch 0.489 (0.492) Remain 01:18:47 loss: 0.5167 Lr: 1.27600e-03 +[2025-03-11 05:03:25,763 INFO misc.py line 135 2389709] Train result: loss: 0.5585 +[2025-03-11 05:03:25,884 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:04:14,937 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3142 +[2025-03-11 05:04:14,983 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2339 +[2025-03-11 05:04:15,018 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.7712 +[2025-03-11 05:04:15,071 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5770 +[2025-03-11 05:04:15,112 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9111 +[2025-03-11 05:04:15,171 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7636 +[2025-03-11 05:04:15,223 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.0715 +[2025-03-11 05:04:15,263 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1970 +[2025-03-11 05:04:15,315 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3437 +[2025-03-11 05:04:15,357 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9986 +[2025-03-11 05:04:15,407 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3444 +[2025-03-11 05:04:15,447 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4607 +[2025-03-11 05:04:15,499 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0010 +[2025-03-11 05:04:15,545 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7895 +[2025-03-11 05:04:15,584 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3212 +[2025-03-11 05:04:15,633 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0719 +[2025-03-11 05:04:15,672 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4127 +[2025-03-11 05:04:15,722 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9252 +[2025-03-11 05:04:15,764 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2695 +[2025-03-11 05:04:15,801 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7483 +[2025-03-11 05:04:15,836 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6821 +[2025-03-11 05:04:15,880 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7783 +[2025-03-11 05:04:15,915 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6019 +[2025-03-11 05:04:15,983 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9030 +[2025-03-11 05:04:16,033 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.8579 +[2025-03-11 05:04:16,079 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3891 +[2025-03-11 05:04:16,133 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8664 +[2025-03-11 05:04:16,172 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6933 +[2025-03-11 05:04:16,210 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9032 +[2025-03-11 05:04:16,267 INFO hook.py line 748 2389709] Test: [30/78] Loss 0.9870 +[2025-03-11 05:04:16,329 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6295 +[2025-03-11 05:04:16,366 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.7354 +[2025-03-11 05:04:16,423 INFO hook.py line 748 2389709] Test: [33/78] Loss 1.0779 +[2025-03-11 05:04:16,471 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1607 +[2025-03-11 05:04:16,511 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3627 +[2025-03-11 05:04:16,550 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2078 +[2025-03-11 05:04:16,593 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.2785 +[2025-03-11 05:04:16,623 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.6944 +[2025-03-11 05:04:16,693 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4960 +[2025-03-11 05:04:16,749 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5578 +[2025-03-11 05:04:16,809 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.1993 +[2025-03-11 05:04:16,842 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4398 +[2025-03-11 05:04:16,882 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.9470 +[2025-03-11 05:04:16,941 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0596 +[2025-03-11 05:04:16,981 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4492 +[2025-03-11 05:04:17,034 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1557 +[2025-03-11 05:04:17,076 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8987 +[2025-03-11 05:04:17,113 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1231 +[2025-03-11 05:04:17,148 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6622 +[2025-03-11 05:04:17,186 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8392 +[2025-03-11 05:04:17,220 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2136 +[2025-03-11 05:04:17,257 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8258 +[2025-03-11 05:04:17,289 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4324 +[2025-03-11 05:04:17,328 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9770 +[2025-03-11 05:04:17,370 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.2578 +[2025-03-11 05:04:17,411 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2640 +[2025-03-11 05:04:17,449 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9593 +[2025-03-11 05:04:17,478 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9023 +[2025-03-11 05:04:17,519 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.6487 +[2025-03-11 05:04:17,561 INFO hook.py line 748 2389709] Test: [60/78] Loss 1.0089 +[2025-03-11 05:04:17,590 INFO hook.py line 748 2389709] Test: [61/78] Loss 1.0018 +[2025-03-11 05:04:17,631 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9780 +[2025-03-11 05:04:17,668 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0571 +[2025-03-11 05:04:17,727 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8252 +[2025-03-11 05:04:17,759 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.0328 +[2025-03-11 05:04:17,807 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7626 +[2025-03-11 05:04:17,846 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.2405 +[2025-03-11 05:04:17,887 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9823 +[2025-03-11 05:04:17,922 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4219 +[2025-03-11 05:04:17,988 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7612 +[2025-03-11 05:04:18,032 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.6442 +[2025-03-11 05:04:18,089 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7722 +[2025-03-11 05:04:18,147 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7604 +[2025-03-11 05:04:18,191 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4919 +[2025-03-11 05:04:18,243 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5311 +[2025-03-11 05:04:18,272 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.3537 +[2025-03-11 05:04:18,334 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6415 +[2025-03-11 05:04:18,361 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.6554 +[2025-03-11 05:04:19,575 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:04:19,575 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:04:19,575 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:04:19,575 INFO hook.py line 689 2389709] wall : 0.7900 0.9134 +[2025-03-11 05:04:19,575 INFO hook.py line 689 2389709] chair : 0.7034 0.8359 +[2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] floor : 0.9581 0.9809 +[2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] table : 0.6379 0.7517 +[2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] door : 0.6187 0.6879 +[2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] couch : 0.7662 0.9279 +[2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] cabinet : 0.3575 0.5944 +[2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] shelf : 0.4125 0.6120 +[2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] desk : 0.5438 0.8701 +[2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] office chair : 0.1369 0.2348 +[2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] bed : 0.8026 0.9063 +[2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] pillow : 0.5603 0.7960 +[2025-03-11 05:04:19,576 INFO hook.py line 689 2389709] sink : 0.6544 0.7211 +[2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] picture : 0.3774 0.5224 +[2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] window : 0.5506 0.7006 +[2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] toilet : 0.9425 0.9662 +[2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] bookshelf : 0.4267 0.5216 +[2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] monitor : 0.8427 0.8959 +[2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] curtain : 0.6962 0.8140 +[2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] book : 0.4452 0.6627 +[2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] armchair : 0.2457 0.2695 +[2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] coffee table : 0.6643 0.8868 +[2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] box : 0.2895 0.3963 +[2025-03-11 05:04:19,577 INFO hook.py line 689 2389709] refrigerator : 0.6412 0.7846 +[2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] lamp : 0.6674 0.7247 +[2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] kitchen cabinet: 0.6125 0.7992 +[2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] towel : 0.4826 0.6626 +[2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] clothes : 0.1858 0.3421 +[2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] tv : 0.8496 0.8972 +[2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] nightstand : 0.6724 0.8386 +[2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] counter : 0.2839 0.4439 +[2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] dresser : 0.3408 0.4728 +[2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] stool : 0.5317 0.7162 +[2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:04:19,578 INFO hook.py line 689 2389709] plant : 0.7744 0.9071 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] ceiling : 0.9227 0.9694 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] bathtub : 0.8777 0.9043 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] end table : 0.1226 0.1714 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] dining table : 0.0144 0.0192 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] keyboard : 0.4058 0.5145 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] bag : 0.1848 0.2685 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] backpack : 0.5773 0.6099 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] toilet paper : 0.4669 0.5434 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] printer : 0.4313 0.6036 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] tv stand : 0.2869 0.3791 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] whiteboard : 0.4945 0.6719 +[2025-03-11 05:04:19,579 INFO hook.py line 689 2389709] blanket : 0.0367 0.0433 +[2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] shower curtain : 0.6835 0.7683 +[2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] trash can : 0.6179 0.8405 +[2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] closet : 0.1045 0.1445 +[2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] stairs : 0.5471 0.6736 +[2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] microwave : 0.5268 0.8031 +[2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] stove : 0.5290 0.7061 +[2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] shoe : 0.4968 0.5748 +[2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] computer tower : 0.5156 0.8108 +[2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] bottle : 0.1162 0.2305 +[2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 05:04:19,580 INFO hook.py line 689 2389709] ottoman : 0.3393 0.4004 +[2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] bench : 0.3982 0.4787 +[2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] board : 0.1251 0.2621 +[2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] washing machine: 0.8567 0.9276 +[2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] mirror : 0.3932 0.4526 +[2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] copier : 0.8841 0.9000 +[2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] sofa chair : 0.1752 0.5316 +[2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] file cabinet : 0.4747 0.5443 +[2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] fan : 0.4694 0.5025 +[2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] laptop : 0.5230 0.7322 +[2025-03-11 05:04:19,581 INFO hook.py line 689 2389709] shower : 0.2165 0.2289 +[2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] paper : 0.0265 0.0317 +[2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] person : 0.3733 0.4513 +[2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] paper towel dispenser: 0.4716 0.8100 +[2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] oven : 0.0355 0.0380 +[2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] blinds : 0.0001 0.0001 +[2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] blackboard : 0.5742 0.6586 +[2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] piano : 0.2784 0.4813 +[2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] suitcase : 0.5981 0.8084 +[2025-03-11 05:04:19,582 INFO hook.py line 689 2389709] rail : 0.0221 0.0241 +[2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] radiator : 0.5946 0.6745 +[2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] recycling bin : 0.4821 0.6540 +[2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] container : 0.0012 0.0016 +[2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] wardrobe : 0.1652 0.2419 +[2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] soap dispenser : 0.8049 0.9024 +[2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] telephone : 0.3167 0.5882 +[2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] bucket : 0.4830 0.6500 +[2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] clock : 0.2733 0.3217 +[2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] stand : 0.0029 0.0544 +[2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] light : 0.0447 0.0567 +[2025-03-11 05:04:19,583 INFO hook.py line 689 2389709] laundry basket : 0.0048 0.0054 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] pipe : 0.0616 0.0819 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] clothes dryer : 0.6816 0.7031 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] guitar : 0.5783 0.6412 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] toilet paper holder: 0.0862 0.2524 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] ladder : 0.4737 0.6198 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] bathroom stall : 0.5945 0.7381 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] shower wall : 0.4920 0.6551 +[2025-03-11 05:04:19,584 INFO hook.py line 689 2389709] cup : 0.2147 0.4520 +[2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] jacket : 0.1381 0.2317 +[2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] storage bin : 0.0010 0.0014 +[2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] coffee maker : 0.5627 0.8151 +[2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] dishwasher : 0.2589 0.5025 +[2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] paper towel roll: 0.3073 0.3892 +[2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] mat : 0.3244 0.3909 +[2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] windowsill : 0.1799 0.2450 +[2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] bar : 0.1557 0.2931 +[2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] toaster : 0.4196 0.8000 +[2025-03-11 05:04:19,585 INFO hook.py line 689 2389709] bulletin board : 0.2993 0.3164 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] ironing board : 0.1613 0.1998 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] fireplace : 0.5809 0.6235 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] soap dish : 0.3301 0.4781 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] kitchen counter: 0.5705 0.8015 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] doorframe : 0.3929 0.7082 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4311 0.5180 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] mini fridge : 0.2919 0.3181 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] fire extinguisher: 0.0771 0.0858 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] ball : 0.4601 0.9283 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] shower curtain rod: 0.3411 0.9273 +[2025-03-11 05:04:19,586 INFO hook.py line 689 2389709] water cooler : 0.7906 0.8778 +[2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] paper cutter : 0.2330 0.2656 +[2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] tray : 0.0314 0.0483 +[2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] shower door : 0.1707 0.3202 +[2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] pillar : 0.0057 0.0057 +[2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] ledge : 0.0455 0.0747 +[2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] toaster oven : 0.0200 0.0211 +[2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] mouse : 0.1749 0.3568 +[2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6770 0.7990 +[2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] cart : 0.2060 0.2660 +[2025-03-11 05:04:19,587 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] scale : 0.4092 0.8125 +[2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] tissue box : 0.1867 0.3279 +[2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] light switch : 0.0535 0.2315 +[2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] power outlet : 0.0993 0.1879 +[2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] decoration : 0.1061 0.1498 +[2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] sign : 0.0084 0.0095 +[2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] projector : 0.1691 1.0000 +[2025-03-11 05:04:19,588 INFO hook.py line 689 2389709] closet door : 0.0989 0.1137 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] vacuum cleaner : 0.7196 0.7372 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] plunger : 0.6240 0.9587 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] headphones : 0.0014 0.0017 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] dish rack : 0.8268 0.9342 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] broom : 0.0358 0.0567 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] range hood : 0.7821 0.9091 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] dustpan : 0.0838 0.2094 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] water bottle : 0.0012 0.0040 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] handicap bar : 0.0512 0.9003 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] shower floor : 0.8734 0.9939 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] mailbox : 0.4874 0.5345 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] bowl : 0.1012 0.1407 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] paper bag : 0.0435 0.0813 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] projector screen: 0.0003 0.0003 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] divider : 0.1206 0.1269 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] bathroom counter: 0.1935 0.2299 +[2025-03-11 05:04:19,589 INFO hook.py line 689 2389709] object : 0.0339 0.0768 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] bathroom vanity: 0.5225 0.8014 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] closet wall : 0.0397 0.0595 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] laundry hamper : 0.0681 0.0752 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] bathroom stall door: 0.6613 0.7718 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] ceiling light : 0.2093 0.3052 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] trash bin : 0.1906 0.2520 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] dumbbell : 0.8687 0.9658 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] stair rail : 0.1869 0.2178 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] tube : 0.1427 0.2159 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] bathroom cabinet: 0.3057 0.4650 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] closet rod : 0.3272 0.9152 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] coffee kettle : 0.4283 0.5181 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] shower head : 0.3022 0.3471 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] case of water bottles: 0.0334 0.0353 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:04:19,590 INFO hook.py line 689 2389709] mattress : 0.0084 0.0084 +[2025-03-11 05:04:19,590 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:04:19,590 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3053/0.4058/0.8120. +[2025-03-11 05:04:19,591 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:04:19,612 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 +[2025-03-11 05:04:19,612 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:04:50,143 INFO hook.py line 566 2389709] Train: [69/100][50/300] Data 0.003 (0.002) Batch 0.489 (0.500) Remain 01:19:31 loss: 0.5968 Lr: 1.26400e-03 +[2025-03-11 05:05:14,916 INFO hook.py line 566 2389709] Train: [69/100][100/300] Data 0.002 (0.002) Batch 0.513 (0.497) Remain 01:18:46 loss: 0.5591 Lr: 1.25205e-03 +[2025-03-11 05:05:39,458 INFO hook.py line 566 2389709] Train: [69/100][150/300] Data 0.002 (0.002) Batch 0.465 (0.495) Remain 01:17:59 loss: 0.6389 Lr: 1.24013e-03 +[2025-03-11 05:06:03,785 INFO hook.py line 566 2389709] Train: [69/100][200/300] Data 0.002 (0.002) Batch 0.548 (0.493) Remain 01:17:14 loss: 0.6004 Lr: 1.22825e-03 +[2025-03-11 05:06:28,574 INFO hook.py line 566 2389709] Train: [69/100][250/300] Data 0.002 (0.002) Batch 0.510 (0.494) Remain 01:16:54 loss: 0.6117 Lr: 1.21641e-03 +[2025-03-11 05:06:52,562 INFO hook.py line 566 2389709] Train: [69/100][300/300] Data 0.001 (0.002) Batch 0.462 (0.491) Remain 01:16:08 loss: 0.7661 Lr: 1.20460e-03 +[2025-03-11 05:06:52,562 INFO misc.py line 135 2389709] Train result: loss: 0.5599 +[2025-03-11 05:06:52,661 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:07:43,954 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5062 +[2025-03-11 05:07:44,043 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4032 +[2025-03-11 05:07:44,086 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4377 +[2025-03-11 05:07:44,135 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4804 +[2025-03-11 05:07:44,171 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0269 +[2025-03-11 05:07:44,230 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7330 +[2025-03-11 05:07:44,282 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7600 +[2025-03-11 05:07:44,318 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3434 +[2025-03-11 05:07:44,365 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0300 +[2025-03-11 05:07:44,404 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3455 +[2025-03-11 05:07:44,457 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1693 +[2025-03-11 05:07:44,498 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0127 +[2025-03-11 05:07:44,552 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0691 +[2025-03-11 05:07:44,592 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4504 +[2025-03-11 05:07:44,630 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4641 +[2025-03-11 05:07:44,679 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0812 +[2025-03-11 05:07:44,719 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5219 +[2025-03-11 05:07:44,753 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1228 +[2025-03-11 05:07:44,798 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4549 +[2025-03-11 05:07:44,835 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6403 +[2025-03-11 05:07:44,871 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6711 +[2025-03-11 05:07:44,920 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8917 +[2025-03-11 05:07:44,951 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5859 +[2025-03-11 05:07:44,999 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2304 +[2025-03-11 05:07:45,041 INFO hook.py line 748 2389709] Test: [25/78] Loss 2.0839 +[2025-03-11 05:07:45,092 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2826 +[2025-03-11 05:07:45,146 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.7868 +[2025-03-11 05:07:45,180 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7304 +[2025-03-11 05:07:45,209 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0379 +[2025-03-11 05:07:45,266 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0636 +[2025-03-11 05:07:45,325 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4018 +[2025-03-11 05:07:45,363 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5238 +[2025-03-11 05:07:45,421 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8337 +[2025-03-11 05:07:45,461 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.5257 +[2025-03-11 05:07:45,501 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3803 +[2025-03-11 05:07:45,541 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5785 +[2025-03-11 05:07:45,581 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.4366 +[2025-03-11 05:07:45,611 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.7943 +[2025-03-11 05:07:45,682 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6407 +[2025-03-11 05:07:45,733 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4837 +[2025-03-11 05:07:45,779 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3748 +[2025-03-11 05:07:45,816 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5458 +[2025-03-11 05:07:45,863 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8445 +[2025-03-11 05:07:45,921 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0881 +[2025-03-11 05:07:45,959 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9376 +[2025-03-11 05:07:46,009 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1140 +[2025-03-11 05:07:46,056 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8159 +[2025-03-11 05:07:46,093 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0847 +[2025-03-11 05:07:46,124 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5320 +[2025-03-11 05:07:46,156 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0549 +[2025-03-11 05:07:46,192 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.7601 +[2025-03-11 05:07:46,229 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6890 +[2025-03-11 05:07:46,263 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.5522 +[2025-03-11 05:07:46,299 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8250 +[2025-03-11 05:07:46,337 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.6604 +[2025-03-11 05:07:46,378 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8981 +[2025-03-11 05:07:46,412 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2006 +[2025-03-11 05:07:46,439 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0438 +[2025-03-11 05:07:46,480 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.7680 +[2025-03-11 05:07:46,521 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6611 +[2025-03-11 05:07:46,552 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7353 +[2025-03-11 05:07:46,592 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9238 +[2025-03-11 05:07:46,629 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2902 +[2025-03-11 05:07:46,686 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7391 +[2025-03-11 05:07:46,719 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3974 +[2025-03-11 05:07:46,762 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3261 +[2025-03-11 05:07:46,802 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9678 +[2025-03-11 05:07:46,844 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2334 +[2025-03-11 05:07:46,877 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4236 +[2025-03-11 05:07:46,937 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2971 +[2025-03-11 05:07:46,981 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0919 +[2025-03-11 05:07:47,039 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5956 +[2025-03-11 05:07:47,097 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5256 +[2025-03-11 05:07:47,140 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.5097 +[2025-03-11 05:07:47,191 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6082 +[2025-03-11 05:07:47,221 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0458 +[2025-03-11 05:07:47,283 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5233 +[2025-03-11 05:07:47,309 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9315 +[2025-03-11 05:07:48,615 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:07:48,616 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:07:48,617 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:07:48,618 INFO hook.py line 689 2389709] wall : 0.7997 0.9274 +[2025-03-11 05:07:48,618 INFO hook.py line 689 2389709] chair : 0.6636 0.7422 +[2025-03-11 05:07:48,620 INFO hook.py line 689 2389709] floor : 0.9604 0.9819 +[2025-03-11 05:07:48,621 INFO hook.py line 689 2389709] table : 0.6228 0.7352 +[2025-03-11 05:07:48,622 INFO hook.py line 689 2389709] door : 0.6427 0.8018 +[2025-03-11 05:07:48,622 INFO hook.py line 689 2389709] couch : 0.8005 0.8482 +[2025-03-11 05:07:48,622 INFO hook.py line 689 2389709] cabinet : 0.3507 0.5782 +[2025-03-11 05:07:48,622 INFO hook.py line 689 2389709] shelf : 0.4027 0.5618 +[2025-03-11 05:07:48,622 INFO hook.py line 689 2389709] desk : 0.5878 0.8177 +[2025-03-11 05:07:48,623 INFO hook.py line 689 2389709] office chair : 0.2736 0.6727 +[2025-03-11 05:07:48,623 INFO hook.py line 689 2389709] bed : 0.7629 0.8294 +[2025-03-11 05:07:48,623 INFO hook.py line 689 2389709] pillow : 0.5598 0.7135 +[2025-03-11 05:07:48,623 INFO hook.py line 689 2389709] sink : 0.6421 0.7531 +[2025-03-11 05:07:48,624 INFO hook.py line 689 2389709] picture : 0.3727 0.4467 +[2025-03-11 05:07:48,624 INFO hook.py line 689 2389709] window : 0.5870 0.7890 +[2025-03-11 05:07:48,624 INFO hook.py line 689 2389709] toilet : 0.9202 0.9424 +[2025-03-11 05:07:48,625 INFO hook.py line 689 2389709] bookshelf : 0.4689 0.6259 +[2025-03-11 05:07:48,625 INFO hook.py line 689 2389709] monitor : 0.8428 0.9210 +[2025-03-11 05:07:48,625 INFO hook.py line 689 2389709] curtain : 0.6646 0.8193 +[2025-03-11 05:07:48,625 INFO hook.py line 689 2389709] book : 0.4565 0.7126 +[2025-03-11 05:07:48,626 INFO hook.py line 689 2389709] armchair : 0.5584 0.8430 +[2025-03-11 05:07:48,626 INFO hook.py line 689 2389709] coffee table : 0.7068 0.8999 +[2025-03-11 05:07:48,626 INFO hook.py line 689 2389709] box : 0.3000 0.4239 +[2025-03-11 05:07:48,626 INFO hook.py line 689 2389709] refrigerator : 0.6626 0.7185 +[2025-03-11 05:07:48,626 INFO hook.py line 689 2389709] lamp : 0.7035 0.8037 +[2025-03-11 05:07:48,627 INFO hook.py line 689 2389709] kitchen cabinet: 0.5936 0.6419 +[2025-03-11 05:07:48,627 INFO hook.py line 689 2389709] towel : 0.4373 0.6371 +[2025-03-11 05:07:48,627 INFO hook.py line 689 2389709] clothes : 0.1865 0.3631 +[2025-03-11 05:07:48,627 INFO hook.py line 689 2389709] tv : 0.8299 0.9198 +[2025-03-11 05:07:48,628 INFO hook.py line 689 2389709] nightstand : 0.6270 0.8398 +[2025-03-11 05:07:48,628 INFO hook.py line 689 2389709] counter : 0.2486 0.4649 +[2025-03-11 05:07:48,629 INFO hook.py line 689 2389709] dresser : 0.3155 0.3589 +[2025-03-11 05:07:48,629 INFO hook.py line 689 2389709] stool : 0.5012 0.7473 +[2025-03-11 05:07:48,629 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:07:48,629 INFO hook.py line 689 2389709] plant : 0.6114 0.9606 +[2025-03-11 05:07:48,630 INFO hook.py line 689 2389709] ceiling : 0.9297 0.9614 +[2025-03-11 05:07:48,630 INFO hook.py line 689 2389709] bathtub : 0.8767 0.8947 +[2025-03-11 05:07:48,630 INFO hook.py line 689 2389709] end table : 0.2427 0.3780 +[2025-03-11 05:07:48,630 INFO hook.py line 689 2389709] dining table : 0.0110 0.0230 +[2025-03-11 05:07:48,630 INFO hook.py line 689 2389709] keyboard : 0.4225 0.6346 +[2025-03-11 05:07:48,631 INFO hook.py line 689 2389709] bag : 0.2590 0.3288 +[2025-03-11 05:07:48,631 INFO hook.py line 689 2389709] backpack : 0.6269 0.7022 +[2025-03-11 05:07:48,631 INFO hook.py line 689 2389709] toilet paper : 0.4810 0.5300 +[2025-03-11 05:07:48,631 INFO hook.py line 689 2389709] printer : 0.4674 0.5973 +[2025-03-11 05:07:48,632 INFO hook.py line 689 2389709] tv stand : 0.3615 0.3996 +[2025-03-11 05:07:48,632 INFO hook.py line 689 2389709] whiteboard : 0.5082 0.6768 +[2025-03-11 05:07:48,632 INFO hook.py line 689 2389709] blanket : 0.0129 0.0246 +[2025-03-11 05:07:48,632 INFO hook.py line 689 2389709] shower curtain : 0.6334 0.7095 +[2025-03-11 05:07:48,632 INFO hook.py line 689 2389709] trash can : 0.5783 0.8728 +[2025-03-11 05:07:48,633 INFO hook.py line 689 2389709] closet : 0.1189 0.1589 +[2025-03-11 05:07:48,633 INFO hook.py line 689 2389709] stairs : 0.5475 0.7047 +[2025-03-11 05:07:48,633 INFO hook.py line 689 2389709] microwave : 0.5149 0.7143 +[2025-03-11 05:07:48,634 INFO hook.py line 689 2389709] stove : 0.6261 0.8268 +[2025-03-11 05:07:48,635 INFO hook.py line 689 2389709] shoe : 0.4580 0.6290 +[2025-03-11 05:07:48,635 INFO hook.py line 689 2389709] computer tower : 0.5833 0.8150 +[2025-03-11 05:07:48,635 INFO hook.py line 689 2389709] bottle : 0.1103 0.1951 +[2025-03-11 05:07:48,636 INFO hook.py line 689 2389709] bin : 0.0016 0.0034 +[2025-03-11 05:07:48,636 INFO hook.py line 689 2389709] ottoman : 0.3900 0.4454 +[2025-03-11 05:07:48,636 INFO hook.py line 689 2389709] bench : 0.2775 0.3314 +[2025-03-11 05:07:48,636 INFO hook.py line 689 2389709] board : 0.2601 0.3819 +[2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] washing machine: 0.7582 0.9661 +[2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] mirror : 0.3854 0.4704 +[2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] copier : 0.7979 0.9118 +[2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] sofa chair : 0.1220 0.1629 +[2025-03-11 05:07:48,637 INFO hook.py line 689 2389709] file cabinet : 0.4524 0.6537 +[2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] fan : 0.3028 0.3311 +[2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] laptop : 0.5213 0.7018 +[2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] shower : 0.2820 0.3153 +[2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] paper : 0.1031 0.1857 +[2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] person : 0.2842 0.5237 +[2025-03-11 05:07:48,638 INFO hook.py line 689 2389709] paper towel dispenser: 0.5315 0.7668 +[2025-03-11 05:07:48,639 INFO hook.py line 689 2389709] oven : 0.0525 0.0549 +[2025-03-11 05:07:48,639 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 05:07:48,639 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:07:48,639 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:07:48,640 INFO hook.py line 689 2389709] blackboard : 0.6201 0.7126 +[2025-03-11 05:07:48,640 INFO hook.py line 689 2389709] piano : 0.5375 0.6964 +[2025-03-11 05:07:48,640 INFO hook.py line 689 2389709] suitcase : 0.6268 0.6947 +[2025-03-11 05:07:48,641 INFO hook.py line 689 2389709] rail : 0.1073 0.1181 +[2025-03-11 05:07:48,641 INFO hook.py line 689 2389709] radiator : 0.6282 0.6737 +[2025-03-11 05:07:48,642 INFO hook.py line 689 2389709] recycling bin : 0.4783 0.5593 +[2025-03-11 05:07:48,642 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 05:07:48,643 INFO hook.py line 689 2389709] wardrobe : 0.1209 0.1601 +[2025-03-11 05:07:48,643 INFO hook.py line 689 2389709] soap dispenser : 0.6909 0.9318 +[2025-03-11 05:07:48,643 INFO hook.py line 689 2389709] telephone : 0.3020 0.5283 +[2025-03-11 05:07:48,644 INFO hook.py line 689 2389709] bucket : 0.3373 0.5955 +[2025-03-11 05:07:48,644 INFO hook.py line 689 2389709] clock : 0.3063 0.3563 +[2025-03-11 05:07:48,644 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:07:48,644 INFO hook.py line 689 2389709] light : 0.0249 0.0284 +[2025-03-11 05:07:48,645 INFO hook.py line 689 2389709] laundry basket : 0.0838 0.0898 +[2025-03-11 05:07:48,645 INFO hook.py line 689 2389709] pipe : 0.0630 0.0861 +[2025-03-11 05:07:48,645 INFO hook.py line 689 2389709] clothes dryer : 0.5640 0.5707 +[2025-03-11 05:07:48,645 INFO hook.py line 689 2389709] guitar : 0.4793 0.5138 +[2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] toilet paper holder: 0.0450 0.2046 +[2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] seat : 0.0263 0.0364 +[2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] column : 0.0023 0.0025 +[2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:07:48,646 INFO hook.py line 689 2389709] ladder : 0.4899 0.5804 +[2025-03-11 05:07:48,647 INFO hook.py line 689 2389709] bathroom stall : 0.4975 0.5823 +[2025-03-11 05:07:48,647 INFO hook.py line 689 2389709] shower wall : 0.4465 0.5429 +[2025-03-11 05:07:48,647 INFO hook.py line 689 2389709] cup : 0.1963 0.4087 +[2025-03-11 05:07:48,647 INFO hook.py line 689 2389709] jacket : 0.1854 0.2469 +[2025-03-11 05:07:48,648 INFO hook.py line 689 2389709] storage bin : 0.0136 0.0196 +[2025-03-11 05:07:48,648 INFO hook.py line 689 2389709] coffee maker : 0.5793 0.9949 +[2025-03-11 05:07:48,648 INFO hook.py line 689 2389709] dishwasher : 0.2599 0.3854 +[2025-03-11 05:07:48,649 INFO hook.py line 689 2389709] paper towel roll: 0.3328 0.3925 +[2025-03-11 05:07:48,650 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:07:48,650 INFO hook.py line 689 2389709] mat : 0.2350 0.2423 +[2025-03-11 05:07:48,651 INFO hook.py line 689 2389709] windowsill : 0.2906 0.3588 +[2025-03-11 05:07:48,651 INFO hook.py line 689 2389709] bar : 0.1437 0.2403 +[2025-03-11 05:07:48,651 INFO hook.py line 689 2389709] toaster : 0.1254 0.2139 +[2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] bulletin board : 0.2765 0.4182 +[2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] ironing board : 0.1235 0.1346 +[2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] fireplace : 0.6103 0.6517 +[2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] soap dish : 0.3727 0.5300 +[2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] kitchen counter: 0.3867 0.4403 +[2025-03-11 05:07:48,652 INFO hook.py line 689 2389709] doorframe : 0.4012 0.7081 +[2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3633 0.4490 +[2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] mini fridge : 0.1928 0.2296 +[2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] fire extinguisher: 0.2671 0.3366 +[2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] ball : 0.5374 0.9456 +[2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:07:48,653 INFO hook.py line 689 2389709] shower curtain rod: 0.3853 0.9272 +[2025-03-11 05:07:48,654 INFO hook.py line 689 2389709] water cooler : 0.3479 0.7239 +[2025-03-11 05:07:48,654 INFO hook.py line 689 2389709] paper cutter : 0.2215 0.2836 +[2025-03-11 05:07:48,654 INFO hook.py line 689 2389709] tray : 0.0502 0.0962 +[2025-03-11 05:07:48,654 INFO hook.py line 689 2389709] shower door : 0.2151 0.2464 +[2025-03-11 05:07:48,654 INFO hook.py line 689 2389709] pillar : 0.0006 0.0006 +[2025-03-11 05:07:48,655 INFO hook.py line 689 2389709] ledge : 0.1125 0.1215 +[2025-03-11 05:07:48,655 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 05:07:48,656 INFO hook.py line 689 2389709] mouse : 0.0702 0.3587 +[2025-03-11 05:07:48,656 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7963 0.8710 +[2025-03-11 05:07:48,656 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:07:48,656 INFO hook.py line 689 2389709] cart : 0.2979 0.4653 +[2025-03-11 05:07:48,657 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:07:48,658 INFO hook.py line 689 2389709] scale : 0.1012 0.1639 +[2025-03-11 05:07:48,658 INFO hook.py line 689 2389709] tissue box : 0.1743 0.2257 +[2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] light switch : 0.0452 0.1169 +[2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] power outlet : 0.1027 0.1518 +[2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] decoration : 0.1885 0.2955 +[2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 05:07:48,659 INFO hook.py line 689 2389709] projector : 0.0902 1.0000 +[2025-03-11 05:07:48,660 INFO hook.py line 689 2389709] closet door : 0.0352 0.0370 +[2025-03-11 05:07:48,660 INFO hook.py line 689 2389709] vacuum cleaner : 0.6156 0.6941 +[2025-03-11 05:07:48,660 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:07:48,660 INFO hook.py line 689 2389709] plunger : 0.7966 0.9068 +[2025-03-11 05:07:48,660 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:07:48,661 INFO hook.py line 689 2389709] headphones : 0.0107 0.0158 +[2025-03-11 05:07:48,661 INFO hook.py line 689 2389709] dish rack : 0.8493 0.9425 +[2025-03-11 05:07:48,661 INFO hook.py line 689 2389709] broom : 0.0652 0.0709 +[2025-03-11 05:07:48,661 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:07:48,661 INFO hook.py line 689 2389709] range hood : 0.7821 0.9032 +[2025-03-11 05:07:48,662 INFO hook.py line 689 2389709] dustpan : 0.1117 0.1981 +[2025-03-11 05:07:48,662 INFO hook.py line 689 2389709] hair dryer : 0.0026 0.0040 +[2025-03-11 05:07:48,662 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:07:48,662 INFO hook.py line 689 2389709] handicap bar : 0.0556 0.8466 +[2025-03-11 05:07:48,663 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:07:48,663 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 05:07:48,663 INFO hook.py line 689 2389709] shower floor : 0.6367 0.6476 +[2025-03-11 05:07:48,664 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:07:48,664 INFO hook.py line 689 2389709] mailbox : 0.3522 0.3535 +[2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] bowl : 0.0659 0.0931 +[2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] paper bag : 0.0914 0.1090 +[2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:07:48,665 INFO hook.py line 689 2389709] divider : 0.2798 0.3150 +[2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] bathroom counter: 0.2461 0.2955 +[2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] object : 0.0369 0.0560 +[2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] bathroom vanity: 0.4907 0.8297 +[2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] closet wall : 0.0085 0.0113 +[2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] laundry hamper : 0.0637 0.0699 +[2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] bathroom stall door: 0.4846 0.7187 +[2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] ceiling light : 0.3550 0.4820 +[2025-03-11 05:07:48,666 INFO hook.py line 689 2389709] trash bin : 0.3382 0.5352 +[2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] dumbbell : 0.6008 0.9751 +[2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] stair rail : 0.1075 0.1213 +[2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] tube : 0.0359 0.0591 +[2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] bathroom cabinet: 0.2653 0.2875 +[2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] closet rod : 0.3484 0.8811 +[2025-03-11 05:07:48,667 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] shower head : 0.2382 0.2647 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] keyboard piano : 0.0282 0.0382 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] case of water bottles: 0.0218 0.0220 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] coat rack : 0.0131 0.0356 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] calendar : 0.0010 0.0014 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:07:48,668 INFO hook.py line 689 2389709] mattress : 0.1254 0.1259 +[2025-03-11 05:07:48,668 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:07:48,668 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.2984/0.3972/0.8154. +[2025-03-11 05:07:48,670 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:07:48,687 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 +[2025-03-11 05:07:48,687 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:08:19,459 INFO hook.py line 566 2389709] Train: [70/100][50/300] Data 0.002 (0.002) Batch 0.486 (0.496) Remain 01:16:27 loss: 0.5441 Lr: 1.19284e-03 +[2025-03-11 05:08:44,639 INFO hook.py line 566 2389709] Train: [70/100][100/300] Data 0.002 (0.002) Batch 0.541 (0.500) Remain 01:16:39 loss: 0.6498 Lr: 1.18112e-03 +[2025-03-11 05:09:09,038 INFO hook.py line 566 2389709] Train: [70/100][150/300] Data 0.003 (0.002) Batch 0.476 (0.496) Remain 01:15:37 loss: 0.4402 Lr: 1.16944e-03 +[2025-03-11 05:09:33,973 INFO hook.py line 566 2389709] Train: [70/100][200/300] Data 0.003 (0.002) Batch 0.520 (0.497) Remain 01:15:18 loss: 0.6551 Lr: 1.15779e-03 +[2025-03-11 05:09:58,631 INFO hook.py line 566 2389709] Train: [70/100][250/300] Data 0.003 (0.002) Batch 0.535 (0.496) Remain 01:14:47 loss: 0.9250 Lr: 1.14619e-03 +[2025-03-11 05:10:22,900 INFO hook.py line 566 2389709] Train: [70/100][300/300] Data 0.002 (0.002) Batch 0.414 (0.494) Remain 01:14:07 loss: 0.5712 Lr: 1.13463e-03 +[2025-03-11 05:10:22,900 INFO misc.py line 135 2389709] Train result: loss: 0.5580 +[2025-03-11 05:10:22,993 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:11:12,492 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.7719 +[2025-03-11 05:11:12,537 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5231 +[2025-03-11 05:11:12,573 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5069 +[2025-03-11 05:11:12,624 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4074 +[2025-03-11 05:11:12,663 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7895 +[2025-03-11 05:11:12,723 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.8070 +[2025-03-11 05:11:12,776 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.9040 +[2025-03-11 05:11:12,807 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4323 +[2025-03-11 05:11:12,856 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3073 +[2025-03-11 05:11:12,892 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4097 +[2025-03-11 05:11:12,947 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2083 +[2025-03-11 05:11:12,987 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3700 +[2025-03-11 05:11:13,036 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2715 +[2025-03-11 05:11:13,082 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1962 +[2025-03-11 05:11:13,118 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1510 +[2025-03-11 05:11:13,165 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0792 +[2025-03-11 05:11:13,203 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4389 +[2025-03-11 05:11:13,245 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9592 +[2025-03-11 05:11:13,298 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7020 +[2025-03-11 05:11:13,338 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.5970 +[2025-03-11 05:11:13,387 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7475 +[2025-03-11 05:11:13,432 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.6158 +[2025-03-11 05:11:13,468 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6287 +[2025-03-11 05:11:13,522 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8816 +[2025-03-11 05:11:13,582 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5421 +[2025-03-11 05:11:13,630 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.3190 +[2025-03-11 05:11:13,686 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9447 +[2025-03-11 05:11:13,730 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.5766 +[2025-03-11 05:11:13,765 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0832 +[2025-03-11 05:11:13,825 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.1882 +[2025-03-11 05:11:13,885 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6111 +[2025-03-11 05:11:13,924 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5903 +[2025-03-11 05:11:13,982 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8049 +[2025-03-11 05:11:14,030 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.3708 +[2025-03-11 05:11:14,069 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2195 +[2025-03-11 05:11:14,112 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4281 +[2025-03-11 05:11:14,153 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.3822 +[2025-03-11 05:11:14,188 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8533 +[2025-03-11 05:11:14,258 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6484 +[2025-03-11 05:11:14,313 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4497 +[2025-03-11 05:11:14,361 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3089 +[2025-03-11 05:11:14,401 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4922 +[2025-03-11 05:11:14,441 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.7484 +[2025-03-11 05:11:14,504 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9495 +[2025-03-11 05:11:14,540 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6530 +[2025-03-11 05:11:14,589 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1039 +[2025-03-11 05:11:14,631 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1486 +[2025-03-11 05:11:14,670 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9841 +[2025-03-11 05:11:14,705 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4944 +[2025-03-11 05:11:14,738 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8800 +[2025-03-11 05:11:14,773 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3599 +[2025-03-11 05:11:14,812 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5326 +[2025-03-11 05:11:14,844 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3755 +[2025-03-11 05:11:14,880 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.6115 +[2025-03-11 05:11:14,919 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4733 +[2025-03-11 05:11:14,960 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9659 +[2025-03-11 05:11:14,997 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0466 +[2025-03-11 05:11:15,023 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9244 +[2025-03-11 05:11:15,065 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8561 +[2025-03-11 05:11:15,106 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5072 +[2025-03-11 05:11:15,135 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8107 +[2025-03-11 05:11:15,177 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9465 +[2025-03-11 05:11:15,218 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.5377 +[2025-03-11 05:11:15,276 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.6475 +[2025-03-11 05:11:15,307 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.1550 +[2025-03-11 05:11:15,351 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7807 +[2025-03-11 05:11:15,395 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.0121 +[2025-03-11 05:11:15,431 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9185 +[2025-03-11 05:11:15,462 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4566 +[2025-03-11 05:11:15,523 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7171 +[2025-03-11 05:11:15,567 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7171 +[2025-03-11 05:11:15,621 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8725 +[2025-03-11 05:11:15,675 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6098 +[2025-03-11 05:11:15,719 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3065 +[2025-03-11 05:11:15,771 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5467 +[2025-03-11 05:11:15,799 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0568 +[2025-03-11 05:11:15,858 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5897 +[2025-03-11 05:11:15,889 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.9194 +[2025-03-11 05:11:17,098 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:11:17,098 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:11:17,098 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:11:17,098 INFO hook.py line 689 2389709] wall : 0.7921 0.9155 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] chair : 0.6777 0.7809 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] floor : 0.9588 0.9846 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] table : 0.6314 0.7410 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] door : 0.6688 0.8223 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] couch : 0.8117 0.9192 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] cabinet : 0.3361 0.5228 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] shelf : 0.3383 0.4658 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] desk : 0.5649 0.8489 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] office chair : 0.2532 0.5549 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] bed : 0.7723 0.8357 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] pillow : 0.5423 0.7805 +[2025-03-11 05:11:17,099 INFO hook.py line 689 2389709] sink : 0.6639 0.7220 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] picture : 0.3758 0.5179 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] window : 0.5842 0.7660 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] toilet : 0.9250 0.9632 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] bookshelf : 0.4596 0.7414 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] monitor : 0.8167 0.8831 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] curtain : 0.7272 0.8404 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] book : 0.4247 0.5961 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] armchair : 0.4703 0.5569 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] coffee table : 0.7075 0.8492 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] box : 0.2971 0.3865 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] refrigerator : 0.6934 0.7622 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] lamp : 0.6792 0.7833 +[2025-03-11 05:11:17,100 INFO hook.py line 689 2389709] kitchen cabinet: 0.5788 0.6810 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] towel : 0.4656 0.6039 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] clothes : 0.1774 0.3648 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] tv : 0.8726 0.9087 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] nightstand : 0.6790 0.8173 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] counter : 0.2166 0.3719 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] dresser : 0.3102 0.4285 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] stool : 0.5943 0.7988 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] plant : 0.7001 0.9047 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] ceiling : 0.9307 0.9634 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] bathtub : 0.8749 0.8947 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] end table : 0.2441 0.3194 +[2025-03-11 05:11:17,101 INFO hook.py line 689 2389709] dining table : 0.0048 0.0052 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] keyboard : 0.4209 0.5548 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] bag : 0.2335 0.4040 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] backpack : 0.5865 0.6553 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] toilet paper : 0.4909 0.6337 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] printer : 0.4884 0.5889 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] tv stand : 0.4640 0.6030 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] whiteboard : 0.4634 0.6267 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] blanket : 0.0258 0.0363 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] shower curtain : 0.6963 0.7692 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] trash can : 0.6281 0.8361 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] closet : 0.0803 0.1250 +[2025-03-11 05:11:17,102 INFO hook.py line 689 2389709] stairs : 0.4415 0.6566 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] microwave : 0.4755 0.6944 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] stove : 0.5522 0.7981 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] shoe : 0.4402 0.4833 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] computer tower : 0.5559 0.8213 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] bottle : 0.0777 0.1418 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] bin : 0.0002 0.0003 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] ottoman : 0.4653 0.5593 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] bench : 0.3271 0.3679 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] board : 0.2039 0.3260 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] washing machine: 0.7525 0.9338 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] mirror : 0.3845 0.4715 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] copier : 0.8775 0.9324 +[2025-03-11 05:11:17,103 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] sofa chair : 0.2165 0.4391 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] file cabinet : 0.4580 0.5313 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] fan : 0.3404 0.3431 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] laptop : 0.4860 0.6642 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] shower : 0.2371 0.3504 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] paper : 0.0440 0.0617 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] person : 0.3144 0.6654 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] paper towel dispenser: 0.5184 0.7983 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] oven : 0.0592 0.0626 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:11:17,104 INFO hook.py line 689 2389709] blackboard : 0.5859 0.6626 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] piano : 0.7704 0.8932 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] suitcase : 0.5576 0.6191 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] rail : 0.0475 0.0510 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] radiator : 0.5943 0.6697 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] recycling bin : 0.4672 0.5554 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] wardrobe : 0.0796 0.1103 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] soap dispenser : 0.7789 0.9094 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] telephone : 0.3094 0.4065 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] bucket : 0.2552 0.7168 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] clock : 0.2915 0.3416 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] stand : 0.0007 0.0019 +[2025-03-11 05:11:17,105 INFO hook.py line 689 2389709] light : 0.0526 0.0813 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] laundry basket : 0.0503 0.0506 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] pipe : 0.0536 0.0762 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] clothes dryer : 0.3928 0.4003 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] guitar : 0.7829 0.8457 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] toilet paper holder: 0.0195 0.1068 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] seat : 0.0084 0.0096 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] ladder : 0.4327 0.5375 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] bathroom stall : 0.5781 0.7105 +[2025-03-11 05:11:17,106 INFO hook.py line 689 2389709] shower wall : 0.4395 0.5462 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] cup : 0.2165 0.4538 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] jacket : 0.1432 0.1991 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] storage bin : 0.0084 0.0100 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] coffee maker : 0.5806 0.9964 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] dishwasher : 0.2558 0.4284 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] paper towel roll: 0.3194 0.3830 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] mat : 0.2121 0.2314 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] windowsill : 0.1980 0.2257 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] bar : 0.1489 0.2563 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] toaster : 0.3770 0.6323 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] bulletin board : 0.2987 0.5114 +[2025-03-11 05:11:17,107 INFO hook.py line 689 2389709] ironing board : 0.1616 0.1977 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] fireplace : 0.5910 0.6132 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] soap dish : 0.3717 0.5483 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] kitchen counter: 0.5342 0.6943 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] doorframe : 0.4028 0.6355 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4647 0.6463 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] mini fridge : 0.2815 0.3158 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] fire extinguisher: 0.1318 0.1876 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] ball : 0.5417 0.6285 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] shower curtain rod: 0.5062 0.8605 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] water cooler : 0.3027 0.3045 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] paper cutter : 0.2399 0.2766 +[2025-03-11 05:11:17,108 INFO hook.py line 689 2389709] tray : 0.0718 0.1702 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] shower door : 0.1982 0.2837 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] ledge : 0.0568 0.0805 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] toaster oven : 0.2029 0.2210 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] mouse : 0.0821 0.4167 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7438 0.8871 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] cart : 0.2697 0.3241 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] scale : 0.3501 0.8288 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] tissue box : 0.2752 0.3993 +[2025-03-11 05:11:17,109 INFO hook.py line 689 2389709] light switch : 0.0480 0.2769 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] power outlet : 0.1602 0.3340 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] decoration : 0.4164 0.6418 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] sign : 0.0002 0.0003 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] projector : 0.0608 0.4774 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] closet door : 0.0324 0.0345 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] vacuum cleaner : 0.7796 0.9806 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] plunger : 0.4000 0.9872 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] dish rack : 0.7757 0.9522 +[2025-03-11 05:11:17,110 INFO hook.py line 689 2389709] broom : 0.0520 0.0903 +[2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] range hood : 0.7324 0.9264 +[2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] dustpan : 0.0822 0.1502 +[2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] handicap bar : 0.0286 0.4150 +[2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:11:17,111 INFO hook.py line 689 2389709] vent : 0.0567 0.1458 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] shower floor : 0.6776 0.9972 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] mailbox : 0.2615 0.2671 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] bowl : 0.0808 0.1637 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] paper bag : 0.0772 0.1034 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] projector screen: 0.0036 0.0036 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] divider : 0.2344 0.2533 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] bathroom counter: 0.1507 0.1595 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] object : 0.0479 0.0982 +[2025-03-11 05:11:17,112 INFO hook.py line 689 2389709] bathroom vanity: 0.4678 0.8335 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] closet wall : 0.0206 0.0293 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] laundry hamper : 0.1059 0.1203 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] bathroom stall door: 0.5173 0.5917 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] ceiling light : 0.4437 0.5273 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] trash bin : 0.2754 0.4071 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] dumbbell : 0.4523 0.9720 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] stair rail : 0.0916 0.0987 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] tube : 0.0906 0.1454 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] bathroom cabinet: 0.2366 0.3868 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] closet rod : 0.4764 0.7342 +[2025-03-11 05:11:17,113 INFO hook.py line 689 2389709] coffee kettle : 0.4091 0.6607 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] shower head : 0.3157 0.3534 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] case of water bottles: 0.0388 0.0405 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] fire alarm : 0.2836 0.8636 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:11:17,114 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:11:17,115 INFO hook.py line 689 2389709] mattress : 0.0034 0.0034 +[2025-03-11 05:11:17,115 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:11:17,115 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3055/0.4096/0.8126. +[2025-03-11 05:11:17,116 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:11:17,133 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 +[2025-03-11 05:11:17,133 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:11:47,556 INFO hook.py line 566 2389709] Train: [71/100][50/300] Data 0.002 (0.003) Batch 0.472 (0.499) Remain 01:14:23 loss: 0.3720 Lr: 1.12311e-03 +[2025-03-11 05:12:11,851 INFO hook.py line 566 2389709] Train: [71/100][100/300] Data 0.003 (0.002) Batch 0.438 (0.492) Remain 01:12:59 loss: 0.3960 Lr: 1.11164e-03 +[2025-03-11 05:12:36,196 INFO hook.py line 566 2389709] Train: [71/100][150/300] Data 0.002 (0.002) Batch 0.559 (0.490) Remain 01:12:19 loss: 0.3568 Lr: 1.10020e-03 +[2025-03-11 05:13:00,875 INFO hook.py line 566 2389709] Train: [71/100][200/300] Data 0.003 (0.002) Batch 0.478 (0.491) Remain 01:12:02 loss: 0.3579 Lr: 1.08881e-03 +[2025-03-11 05:13:25,667 INFO hook.py line 566 2389709] Train: [71/100][250/300] Data 0.002 (0.002) Batch 0.451 (0.492) Remain 01:11:45 loss: 0.3232 Lr: 1.07746e-03 +[2025-03-11 05:13:49,942 INFO hook.py line 566 2389709] Train: [71/100][300/300] Data 0.002 (0.002) Batch 0.495 (0.491) Remain 01:11:11 loss: 0.3393 Lr: 1.06615e-03 +[2025-03-11 05:13:49,943 INFO misc.py line 135 2389709] Train result: loss: 0.5124 +[2025-03-11 05:13:50,043 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:14:38,197 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4475 +[2025-03-11 05:14:38,306 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.5329 +[2025-03-11 05:14:38,344 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4526 +[2025-03-11 05:14:38,393 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5482 +[2025-03-11 05:14:38,445 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8915 +[2025-03-11 05:14:38,516 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1723 +[2025-03-11 05:14:38,571 INFO hook.py line 748 2389709] Test: [7/78] Loss 1.1456 +[2025-03-11 05:14:38,604 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6212 +[2025-03-11 05:14:38,649 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2056 +[2025-03-11 05:14:38,686 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0165 +[2025-03-11 05:14:38,738 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1414 +[2025-03-11 05:14:38,773 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0931 +[2025-03-11 05:14:38,825 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5748 +[2025-03-11 05:14:38,871 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.1721 +[2025-03-11 05:14:38,910 INFO hook.py line 748 2389709] Test: [15/78] Loss 1.8931 +[2025-03-11 05:14:38,956 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.3277 +[2025-03-11 05:14:38,998 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5372 +[2025-03-11 05:14:39,035 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.8961 +[2025-03-11 05:14:39,086 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.1927 +[2025-03-11 05:14:39,121 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6430 +[2025-03-11 05:14:39,159 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6821 +[2025-03-11 05:14:39,208 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8044 +[2025-03-11 05:14:39,243 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.9061 +[2025-03-11 05:14:39,292 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0267 +[2025-03-11 05:14:39,338 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6112 +[2025-03-11 05:14:39,380 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0741 +[2025-03-11 05:14:39,434 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8406 +[2025-03-11 05:14:39,471 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6805 +[2025-03-11 05:14:39,505 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0281 +[2025-03-11 05:14:39,566 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2624 +[2025-03-11 05:14:39,629 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.6585 +[2025-03-11 05:14:39,685 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.2737 +[2025-03-11 05:14:39,753 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.6917 +[2025-03-11 05:14:39,792 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4592 +[2025-03-11 05:14:39,829 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3371 +[2025-03-11 05:14:39,872 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4386 +[2025-03-11 05:14:39,920 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.8402 +[2025-03-11 05:14:39,961 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8991 +[2025-03-11 05:14:40,031 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.4095 +[2025-03-11 05:14:40,085 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.6714 +[2025-03-11 05:14:40,145 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4954 +[2025-03-11 05:14:40,179 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4944 +[2025-03-11 05:14:40,214 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0827 +[2025-03-11 05:14:40,277 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8392 +[2025-03-11 05:14:40,321 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4749 +[2025-03-11 05:14:40,373 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1466 +[2025-03-11 05:14:40,415 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6977 +[2025-03-11 05:14:40,454 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9491 +[2025-03-11 05:14:40,488 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.0997 +[2025-03-11 05:14:40,521 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.1061 +[2025-03-11 05:14:40,556 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1760 +[2025-03-11 05:14:40,595 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5476 +[2025-03-11 05:14:40,627 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2749 +[2025-03-11 05:14:40,663 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8247 +[2025-03-11 05:14:40,701 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4625 +[2025-03-11 05:14:40,742 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0419 +[2025-03-11 05:14:40,780 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1518 +[2025-03-11 05:14:40,806 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9961 +[2025-03-11 05:14:40,848 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9630 +[2025-03-11 05:14:40,889 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6682 +[2025-03-11 05:14:40,918 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7960 +[2025-03-11 05:14:40,958 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9705 +[2025-03-11 05:14:41,000 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1917 +[2025-03-11 05:14:41,057 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7976 +[2025-03-11 05:14:41,089 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5062 +[2025-03-11 05:14:41,132 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.0265 +[2025-03-11 05:14:41,175 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8272 +[2025-03-11 05:14:41,216 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3913 +[2025-03-11 05:14:41,249 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4638 +[2025-03-11 05:14:41,310 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1480 +[2025-03-11 05:14:41,353 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.4328 +[2025-03-11 05:14:41,410 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8417 +[2025-03-11 05:14:41,469 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.5860 +[2025-03-11 05:14:41,513 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2292 +[2025-03-11 05:14:41,564 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5564 +[2025-03-11 05:14:41,593 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.6993 +[2025-03-11 05:14:41,656 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4287 +[2025-03-11 05:14:41,686 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0268 +[2025-03-11 05:14:42,914 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:14:42,914 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:14:42,915 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] wall : 0.7996 0.9158 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] chair : 0.7499 0.8882 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] floor : 0.9598 0.9815 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] table : 0.6342 0.7879 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] door : 0.6481 0.8142 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] couch : 0.7912 0.9327 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] cabinet : 0.3696 0.5563 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] shelf : 0.3887 0.5086 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] desk : 0.5592 0.7466 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] office chair : 0.1648 0.2121 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] bed : 0.7746 0.8748 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] pillow : 0.5359 0.7942 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] sink : 0.6684 0.8081 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] picture : 0.3942 0.5549 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] window : 0.5767 0.7841 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] toilet : 0.9397 0.9687 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] bookshelf : 0.5061 0.7553 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] monitor : 0.8347 0.9078 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] curtain : 0.7240 0.8385 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] book : 0.4096 0.5864 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] armchair : 0.5650 0.7466 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] coffee table : 0.6656 0.7798 +[2025-03-11 05:14:42,915 INFO hook.py line 689 2389709] box : 0.3002 0.4067 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] refrigerator : 0.5826 0.6191 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] lamp : 0.6693 0.7606 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] kitchen cabinet: 0.6262 0.7564 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] towel : 0.5323 0.7076 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] clothes : 0.1671 0.3731 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] tv : 0.8553 0.9180 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] nightstand : 0.6570 0.8460 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] counter : 0.2317 0.3611 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] dresser : 0.3121 0.3723 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] stool : 0.5466 0.7630 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] plant : 0.7796 0.8886 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] ceiling : 0.9307 0.9696 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] bathtub : 0.8502 0.9338 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] end table : 0.2558 0.3421 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] dining table : 0.0482 0.0638 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] keyboard : 0.4184 0.5952 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] bag : 0.1746 0.2208 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] backpack : 0.5655 0.6918 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] toilet paper : 0.4659 0.5685 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] printer : 0.4924 0.5897 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] tv stand : 0.3740 0.4009 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] whiteboard : 0.5089 0.6513 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] blanket : 0.0205 0.0261 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] shower curtain : 0.7422 0.8197 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] trash can : 0.5970 0.8761 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] closet : 0.1566 0.1948 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] stairs : 0.4467 0.7345 +[2025-03-11 05:14:42,916 INFO hook.py line 689 2389709] microwave : 0.5248 0.7951 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] stove : 0.5546 0.8437 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] shoe : 0.5160 0.7302 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] computer tower : 0.6156 0.7816 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] bottle : 0.0779 0.1508 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] ottoman : 0.3677 0.4611 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] bench : 0.3845 0.4376 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] board : 0.1697 0.2586 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] washing machine: 0.8698 0.9412 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] mirror : 0.3669 0.4771 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] copier : 0.7692 0.9406 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] sofa chair : 0.1449 0.1996 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] file cabinet : 0.4684 0.5816 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] fan : 0.3459 0.5859 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] laptop : 0.5194 0.6983 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] shower : 0.2729 0.2960 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] paper : 0.0351 0.0528 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] person : 0.2796 0.7336 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] paper towel dispenser: 0.6705 0.8294 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] oven : 0.1225 0.1343 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] blackboard : 0.5667 0.6281 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] piano : 0.4488 0.8534 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] suitcase : 0.5607 0.7262 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] rail : 0.0186 0.0195 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] radiator : 0.5980 0.6738 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] recycling bin : 0.4350 0.5845 +[2025-03-11 05:14:42,917 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] wardrobe : 0.1259 0.1523 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] soap dispenser : 0.8052 0.8702 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] telephone : 0.2380 0.3845 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] bucket : 0.5174 0.7342 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] clock : 0.2377 0.3032 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] light : 0.0222 0.0315 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] laundry basket : 0.1408 0.1818 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] pipe : 0.0693 0.0895 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] clothes dryer : 0.6968 0.7145 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] guitar : 0.5256 0.8601 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] toilet paper holder: 0.0231 0.0750 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] ladder : 0.3564 0.3654 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] bathroom stall : 0.4846 0.5903 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] shower wall : 0.4491 0.6498 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] cup : 0.1849 0.2848 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] jacket : 0.1692 0.2234 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] storage bin : 0.0122 0.0152 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] coffee maker : 0.7754 0.8944 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] dishwasher : 0.2436 0.3751 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] paper towel roll: 0.3209 0.3621 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] mat : 0.3055 0.3447 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] windowsill : 0.1234 0.1459 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] bar : 0.1941 0.3881 +[2025-03-11 05:14:42,918 INFO hook.py line 689 2389709] toaster : 0.4631 0.8221 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] bulletin board : 0.2037 0.3064 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] ironing board : 0.0369 0.0413 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] fireplace : 0.3121 0.3207 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] soap dish : 0.3579 0.4773 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] kitchen counter: 0.5083 0.6425 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] doorframe : 0.3975 0.6322 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4132 0.5047 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] mini fridge : 0.2957 0.3232 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] fire extinguisher: 0.1709 0.1803 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] ball : 0.5591 0.7273 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] hat : 0.0007 0.0013 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] shower curtain rod: 0.3073 0.9240 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] water cooler : 0.5568 0.6344 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] paper cutter : 0.2516 0.3408 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] tray : 0.0535 0.0857 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] shower door : 0.1783 0.1945 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] pillar : 0.0091 0.0094 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] ledge : 0.0366 0.0553 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] mouse : 0.0855 0.2895 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6628 0.9261 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] cart : 0.3040 0.3641 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] scale : 0.8258 0.9401 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] tissue box : 0.2047 0.2329 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] light switch : 0.0437 0.1858 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] power outlet : 0.1622 0.4059 +[2025-03-11 05:14:42,919 INFO hook.py line 689 2389709] decoration : 0.2720 0.6726 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] sign : 0.0178 0.0219 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] projector : 0.1791 1.0000 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] closet door : 0.0248 0.0284 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] vacuum cleaner : 0.8317 0.9824 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] plunger : 0.1893 0.9806 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] headphones : 0.0171 0.0473 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] dish rack : 0.8497 0.9704 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] broom : 0.0292 0.0419 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] range hood : 0.7482 0.9222 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] dustpan : 0.0992 0.1673 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] handicap bar : 0.0336 0.4493 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] vent : 0.0464 0.0507 +[2025-03-11 05:14:42,920 INFO hook.py line 689 2389709] shower floor : 0.8669 0.9933 +[2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] mailbox : 0.4075 0.4189 +[2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] bowl : 0.1565 0.2148 +[2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] paper bag : 0.0589 0.0730 +[2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:14:42,921 INFO hook.py line 689 2389709] projector screen: 0.0001 0.0001 +[2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] divider : 0.0148 0.0150 +[2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] bathroom counter: 0.2242 0.2445 +[2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] object : 0.0409 0.0746 +[2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] bathroom vanity: 0.5046 0.8115 +[2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] closet wall : 0.0466 0.0678 +[2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] laundry hamper : 0.0548 0.0642 +[2025-03-11 05:14:42,922 INFO hook.py line 689 2389709] bathroom stall door: 0.6377 0.6684 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] ceiling light : 0.4391 0.5094 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] trash bin : 0.3496 0.5178 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] dumbbell : 0.7917 0.9651 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] stair rail : 0.1236 0.1437 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] tube : 0.0910 0.1136 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] bathroom cabinet: 0.2214 0.3099 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] closet rod : 0.3700 0.8951 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] coffee kettle : 0.3681 0.7200 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] shower head : 0.2742 0.3853 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] case of water bottles: 0.0110 0.0110 +[2025-03-11 05:14:42,923 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] fire alarm : 0.1225 0.9773 +[2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] calendar : 0.0009 0.0028 +[2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:14:42,924 INFO hook.py line 689 2389709] mattress : 0.1306 0.1308 +[2025-03-11 05:14:42,924 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:14:42,924 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3087/0.4144/0.8229. +[2025-03-11 05:14:42,925 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:14:42,943 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3125 +[2025-03-11 05:14:42,944 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:15:13,675 INFO hook.py line 566 2389709] Train: [72/100][50/300] Data 0.003 (0.002) Batch 0.520 (0.497) Remain 01:11:35 loss: 0.4101 Lr: 1.05489e-03 +[2025-03-11 05:15:38,367 INFO hook.py line 566 2389709] Train: [72/100][100/300] Data 0.002 (0.002) Batch 0.532 (0.495) Remain 01:10:58 loss: 0.4413 Lr: 1.04367e-03 +[2025-03-11 05:16:02,886 INFO hook.py line 566 2389709] Train: [72/100][150/300] Data 0.001 (0.002) Batch 0.485 (0.494) Remain 01:10:19 loss: 0.5901 Lr: 1.03249e-03 +[2025-03-11 05:16:27,395 INFO hook.py line 566 2389709] Train: [72/100][200/300] Data 0.002 (0.002) Batch 0.445 (0.493) Remain 01:09:47 loss: 0.3569 Lr: 1.02136e-03 +[2025-03-11 05:16:51,527 INFO hook.py line 566 2389709] Train: [72/100][250/300] Data 0.002 (0.002) Batch 0.395 (0.491) Remain 01:09:06 loss: 0.4720 Lr: 1.01028e-03 +[2025-03-11 05:17:16,503 INFO hook.py line 566 2389709] Train: [72/100][300/300] Data 0.002 (0.002) Batch 0.453 (0.492) Remain 01:08:54 loss: 0.5991 Lr: 9.99239e-04 +[2025-03-11 05:17:16,503 INFO misc.py line 135 2389709] Train result: loss: 0.5240 +[2025-03-11 05:17:16,601 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:18:05,304 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4214 +[2025-03-11 05:18:05,381 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3019 +[2025-03-11 05:18:05,420 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4227 +[2025-03-11 05:18:05,475 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5075 +[2025-03-11 05:18:05,516 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8668 +[2025-03-11 05:18:05,573 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0188 +[2025-03-11 05:18:05,625 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7868 +[2025-03-11 05:18:05,660 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4307 +[2025-03-11 05:18:05,723 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2563 +[2025-03-11 05:18:05,764 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1947 +[2025-03-11 05:18:05,811 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1173 +[2025-03-11 05:18:05,849 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2296 +[2025-03-11 05:18:05,905 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6840 +[2025-03-11 05:18:05,951 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7391 +[2025-03-11 05:18:05,988 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0237 +[2025-03-11 05:18:06,038 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0785 +[2025-03-11 05:18:06,075 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3507 +[2025-03-11 05:18:06,113 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1186 +[2025-03-11 05:18:06,164 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5461 +[2025-03-11 05:18:06,200 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7174 +[2025-03-11 05:18:06,235 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7042 +[2025-03-11 05:18:06,276 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.5627 +[2025-03-11 05:18:06,307 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.2811 +[2025-03-11 05:18:06,357 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2497 +[2025-03-11 05:18:06,402 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4509 +[2025-03-11 05:18:06,456 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.7640 +[2025-03-11 05:18:06,518 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.6757 +[2025-03-11 05:18:06,580 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6585 +[2025-03-11 05:18:06,615 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1128 +[2025-03-11 05:18:06,676 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5026 +[2025-03-11 05:18:06,734 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4950 +[2025-03-11 05:18:06,770 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4405 +[2025-03-11 05:18:06,833 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7915 +[2025-03-11 05:18:06,871 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2905 +[2025-03-11 05:18:06,909 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2601 +[2025-03-11 05:18:06,955 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4117 +[2025-03-11 05:18:06,997 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0462 +[2025-03-11 05:18:07,029 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0846 +[2025-03-11 05:18:07,099 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7584 +[2025-03-11 05:18:07,160 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3622 +[2025-03-11 05:18:07,224 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3291 +[2025-03-11 05:18:07,258 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.6392 +[2025-03-11 05:18:07,299 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3403 +[2025-03-11 05:18:07,360 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9299 +[2025-03-11 05:18:07,396 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3700 +[2025-03-11 05:18:07,446 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0678 +[2025-03-11 05:18:07,489 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9662 +[2025-03-11 05:18:07,523 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9268 +[2025-03-11 05:18:07,555 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7256 +[2025-03-11 05:18:07,590 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7482 +[2025-03-11 05:18:07,624 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0311 +[2025-03-11 05:18:07,660 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6506 +[2025-03-11 05:18:07,692 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3131 +[2025-03-11 05:18:07,731 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9077 +[2025-03-11 05:18:07,770 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4094 +[2025-03-11 05:18:07,814 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9233 +[2025-03-11 05:18:07,849 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1929 +[2025-03-11 05:18:07,877 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7983 +[2025-03-11 05:18:07,919 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9667 +[2025-03-11 05:18:07,960 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6885 +[2025-03-11 05:18:07,989 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8711 +[2025-03-11 05:18:08,029 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.2290 +[2025-03-11 05:18:08,065 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0555 +[2025-03-11 05:18:08,125 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0370 +[2025-03-11 05:18:08,158 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4534 +[2025-03-11 05:18:08,203 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9912 +[2025-03-11 05:18:08,243 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9341 +[2025-03-11 05:18:08,284 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1378 +[2025-03-11 05:18:08,318 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4407 +[2025-03-11 05:18:08,380 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7653 +[2025-03-11 05:18:08,427 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.1633 +[2025-03-11 05:18:08,484 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.1650 +[2025-03-11 05:18:08,542 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6254 +[2025-03-11 05:18:08,587 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3463 +[2025-03-11 05:18:08,639 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6960 +[2025-03-11 05:18:08,667 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1820 +[2025-03-11 05:18:08,730 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5166 +[2025-03-11 05:18:08,757 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3094 +[2025-03-11 05:18:10,055 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:18:10,056 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:18:10,056 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:18:10,056 INFO hook.py line 689 2389709] wall : 0.7977 0.9183 +[2025-03-11 05:18:10,056 INFO hook.py line 689 2389709] chair : 0.7285 0.8500 +[2025-03-11 05:18:10,056 INFO hook.py line 689 2389709] floor : 0.9573 0.9769 +[2025-03-11 05:18:10,056 INFO hook.py line 689 2389709] table : 0.6388 0.7885 +[2025-03-11 05:18:10,056 INFO hook.py line 689 2389709] door : 0.6836 0.8058 +[2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] couch : 0.7885 0.9207 +[2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] cabinet : 0.3478 0.4774 +[2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] shelf : 0.4183 0.5740 +[2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] desk : 0.5546 0.7578 +[2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] office chair : 0.2226 0.3695 +[2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] bed : 0.7571 0.8528 +[2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] pillow : 0.5200 0.8295 +[2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] sink : 0.6845 0.8055 +[2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] picture : 0.3960 0.5254 +[2025-03-11 05:18:10,057 INFO hook.py line 689 2389709] window : 0.6080 0.7623 +[2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] toilet : 0.9368 0.9688 +[2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] bookshelf : 0.4688 0.6463 +[2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] monitor : 0.8577 0.9399 +[2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] curtain : 0.7310 0.8630 +[2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] book : 0.4561 0.7065 +[2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] armchair : 0.5721 0.6936 +[2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] coffee table : 0.5549 0.7373 +[2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] box : 0.3187 0.5098 +[2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] refrigerator : 0.6337 0.8021 +[2025-03-11 05:18:10,058 INFO hook.py line 689 2389709] lamp : 0.7010 0.8332 +[2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] kitchen cabinet: 0.6586 0.8042 +[2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] towel : 0.4412 0.6577 +[2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] clothes : 0.2041 0.4028 +[2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] tv : 0.8236 0.8865 +[2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] nightstand : 0.6768 0.7932 +[2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] counter : 0.3878 0.5618 +[2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] dresser : 0.4191 0.7019 +[2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] stool : 0.5502 0.7918 +[2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] plant : 0.7735 0.8769 +[2025-03-11 05:18:10,059 INFO hook.py line 689 2389709] ceiling : 0.9231 0.9682 +[2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] bathtub : 0.8719 0.8969 +[2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] end table : 0.2468 0.3912 +[2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] dining table : 0.0677 0.0801 +[2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] keyboard : 0.4208 0.6049 +[2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] bag : 0.1565 0.2223 +[2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] backpack : 0.5800 0.6452 +[2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] toilet paper : 0.4990 0.5653 +[2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] printer : 0.4316 0.6481 +[2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] tv stand : 0.5681 0.6696 +[2025-03-11 05:18:10,060 INFO hook.py line 689 2389709] whiteboard : 0.4689 0.6838 +[2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] blanket : 0.0222 0.0389 +[2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] shower curtain : 0.7128 0.8021 +[2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] trash can : 0.6291 0.8162 +[2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] closet : 0.1200 0.1537 +[2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] stairs : 0.5295 0.6255 +[2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] microwave : 0.5078 0.7429 +[2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] stove : 0.5953 0.8274 +[2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] shoe : 0.4899 0.7779 +[2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] computer tower : 0.5644 0.8468 +[2025-03-11 05:18:10,061 INFO hook.py line 689 2389709] bottle : 0.1792 0.3051 +[2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] ottoman : 0.4188 0.4627 +[2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] bench : 0.3973 0.4437 +[2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] board : 0.1639 0.3279 +[2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] washing machine: 0.8653 0.9228 +[2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] mirror : 0.3966 0.4803 +[2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] copier : 0.8652 0.9346 +[2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] sofa chair : 0.2371 0.4449 +[2025-03-11 05:18:10,062 INFO hook.py line 689 2389709] file cabinet : 0.5122 0.6489 +[2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] fan : 0.4596 0.6162 +[2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] laptop : 0.4739 0.8051 +[2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] shower : 0.2599 0.2759 +[2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] paper : 0.0009 0.0010 +[2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] person : 0.3761 0.5959 +[2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] paper towel dispenser: 0.5645 0.8592 +[2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] oven : 0.0761 0.1258 +[2025-03-11 05:18:10,064 INFO hook.py line 689 2389709] blinds : 0.0123 0.0134 +[2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] plate : 0.0471 0.0722 +[2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] blackboard : 0.5403 0.6726 +[2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] piano : 0.4758 0.8672 +[2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] suitcase : 0.6311 0.8285 +[2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] rail : 0.0436 0.0615 +[2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] radiator : 0.6342 0.7044 +[2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] recycling bin : 0.4678 0.5982 +[2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] container : 0.0069 0.0087 +[2025-03-11 05:18:10,065 INFO hook.py line 689 2389709] wardrobe : 0.1314 0.1879 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] soap dispenser : 0.8344 0.9219 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] telephone : 0.2463 0.4304 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] bucket : 0.3916 0.5819 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] clock : 0.2837 0.3375 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] light : 0.0226 0.0278 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] laundry basket : 0.1580 0.1863 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] pipe : 0.0327 0.0440 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] clothes dryer : 0.7128 0.7326 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] guitar : 0.8065 0.8420 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] toilet paper holder: 0.0890 0.1699 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:18:10,066 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] ladder : 0.4427 0.5259 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] bathroom stall : 0.4593 0.5281 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] shower wall : 0.4717 0.7171 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] cup : 0.2182 0.3706 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] jacket : 0.1565 0.2183 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] storage bin : 0.0190 0.0246 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] coffee maker : 0.7786 0.8934 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] dishwasher : 0.2663 0.4074 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] paper towel roll: 0.3015 0.3924 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] mat : 0.3006 0.3197 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] windowsill : 0.0847 0.0905 +[2025-03-11 05:18:10,067 INFO hook.py line 689 2389709] bar : 0.1240 0.2594 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] toaster : 0.4061 0.6736 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] bulletin board : 0.2424 0.4089 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] ironing board : 0.0463 0.0470 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] fireplace : 0.5770 0.6330 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] soap dish : 0.3426 0.4912 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] kitchen counter: 0.5961 0.7629 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] doorframe : 0.4118 0.6181 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3263 0.3879 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] mini fridge : 0.3822 0.4524 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] fire extinguisher: 0.2080 0.2447 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] ball : 0.3613 0.7735 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] shower curtain rod: 0.2549 0.9502 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] water cooler : 0.6769 0.9496 +[2025-03-11 05:18:10,068 INFO hook.py line 689 2389709] paper cutter : 0.2446 0.2907 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] tray : 0.0408 0.0619 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] shower door : 0.2647 0.3466 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] pillar : 0.0028 0.0028 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] ledge : 0.1074 0.1612 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] toaster oven : 0.0070 0.0077 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] mouse : 0.0379 0.3677 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6886 0.8364 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] cart : 0.1257 0.1519 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] scale : 0.3871 0.9624 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] tissue box : 0.1317 0.1918 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] light switch : 0.0288 0.0738 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] power outlet : 0.2096 0.3414 +[2025-03-11 05:18:10,069 INFO hook.py line 689 2389709] decoration : 0.2948 0.4075 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] sign : 0.0029 0.0038 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] projector : 0.0821 1.0000 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] closet door : 0.0274 0.0282 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] vacuum cleaner : 0.8327 0.9176 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] plunger : 0.6190 0.9708 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] dish rack : 0.7548 0.9625 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] broom : 0.0595 0.0687 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] range hood : 0.7283 0.9194 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] dustpan : 0.0859 0.1410 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:18:10,070 INFO hook.py line 689 2389709] handicap bar : 0.0197 0.2094 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] vent : 0.0298 0.0489 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] shower floor : 0.8305 0.9928 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] mailbox : 0.5114 0.5239 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] bowl : 0.1606 0.2559 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] paper bag : 0.0411 0.0905 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] divider : 0.3506 0.4062 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] bathroom counter: 0.3421 0.4179 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] object : 0.0338 0.0523 +[2025-03-11 05:18:10,071 INFO hook.py line 689 2389709] bathroom vanity: 0.5445 0.7251 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] closet wall : 0.0153 0.0199 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] laundry hamper : 0.0071 0.0083 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] bathroom stall door: 0.6697 0.7825 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] ceiling light : 0.4000 0.5293 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] trash bin : 0.3072 0.4176 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] dumbbell : 0.6448 0.9812 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] stair rail : 0.0780 0.0880 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] tube : 0.0598 0.0661 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] bathroom cabinet: 0.4863 0.8438 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] closet rod : 0.4126 0.8703 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] coffee kettle : 0.3785 0.4326 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] shower head : 0.2748 0.4098 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:18:10,072 INFO hook.py line 689 2389709] case of water bottles: 0.0329 0.0329 +[2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] coat rack : 0.0328 0.1928 +[2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] poster : 0.0153 0.0156 +[2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:18:10,073 INFO hook.py line 689 2389709] mattress : 0.0604 0.0604 +[2025-03-11 05:18:10,073 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:18:10,073 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3172/0.4238/0.8238. +[2025-03-11 05:18:10,074 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:18:10,093 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3172 +[2025-03-11 05:18:10,093 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3172 +[2025-03-11 05:18:10,093 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:18:41,071 INFO hook.py line 566 2389709] Train: [73/100][50/300] Data 0.002 (0.002) Batch 0.509 (0.484) Remain 01:07:21 loss: 0.3745 Lr: 9.88245e-04 +[2025-03-11 05:19:05,872 INFO hook.py line 566 2389709] Train: [73/100][100/300] Data 0.002 (0.002) Batch 0.526 (0.490) Remain 01:07:48 loss: 0.6029 Lr: 9.77297e-04 +[2025-03-11 05:19:30,487 INFO hook.py line 566 2389709] Train: [73/100][150/300] Data 0.002 (0.002) Batch 0.502 (0.491) Remain 01:07:29 loss: 0.5433 Lr: 9.66394e-04 +[2025-03-11 05:19:54,870 INFO hook.py line 566 2389709] Train: [73/100][200/300] Data 0.002 (0.002) Batch 0.514 (0.490) Remain 01:06:58 loss: 0.6794 Lr: 9.55539e-04 +[2025-03-11 05:20:19,923 INFO hook.py line 566 2389709] Train: [73/100][250/300] Data 0.002 (0.002) Batch 0.502 (0.492) Remain 01:06:52 loss: 0.3745 Lr: 9.44730e-04 +[2025-03-11 05:20:43,761 INFO hook.py line 566 2389709] Train: [73/100][300/300] Data 0.002 (0.002) Batch 0.499 (0.490) Remain 01:06:06 loss: 0.3731 Lr: 9.33969e-04 +[2025-03-11 05:20:43,762 INFO misc.py line 135 2389709] Train result: loss: 0.5103 +[2025-03-11 05:20:43,881 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:21:40,471 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3913 +[2025-03-11 05:21:40,517 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0096 +[2025-03-11 05:21:40,554 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5360 +[2025-03-11 05:21:40,607 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4629 +[2025-03-11 05:21:40,642 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8401 +[2025-03-11 05:21:40,702 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1012 +[2025-03-11 05:21:40,758 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.6745 +[2025-03-11 05:21:40,797 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4668 +[2025-03-11 05:21:40,849 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3996 +[2025-03-11 05:21:40,887 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9604 +[2025-03-11 05:21:40,941 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3902 +[2025-03-11 05:21:40,989 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1357 +[2025-03-11 05:21:41,046 INFO hook.py line 748 2389709] Test: [13/78] Loss 2.0147 +[2025-03-11 05:21:41,094 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5647 +[2025-03-11 05:21:41,133 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1932 +[2025-03-11 05:21:41,184 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0768 +[2025-03-11 05:21:41,227 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5816 +[2025-03-11 05:21:41,264 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1622 +[2025-03-11 05:21:41,314 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7216 +[2025-03-11 05:21:41,350 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7972 +[2025-03-11 05:21:41,389 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8031 +[2025-03-11 05:21:41,433 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9800 +[2025-03-11 05:21:41,469 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4872 +[2025-03-11 05:21:41,518 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9496 +[2025-03-11 05:21:41,564 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.9027 +[2025-03-11 05:21:41,612 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2427 +[2025-03-11 05:21:41,667 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1413 +[2025-03-11 05:21:41,705 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7290 +[2025-03-11 05:21:41,738 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.2767 +[2025-03-11 05:21:41,800 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4273 +[2025-03-11 05:21:41,861 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5199 +[2025-03-11 05:21:41,902 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5883 +[2025-03-11 05:21:41,965 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7726 +[2025-03-11 05:21:42,008 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1771 +[2025-03-11 05:21:42,048 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5460 +[2025-03-11 05:21:42,088 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4882 +[2025-03-11 05:21:42,129 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6425 +[2025-03-11 05:21:42,159 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9178 +[2025-03-11 05:21:42,226 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7554 +[2025-03-11 05:21:42,282 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5770 +[2025-03-11 05:21:42,327 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3642 +[2025-03-11 05:21:42,360 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4606 +[2025-03-11 05:21:42,413 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0439 +[2025-03-11 05:21:42,471 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8004 +[2025-03-11 05:21:42,511 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.0406 +[2025-03-11 05:21:42,563 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0738 +[2025-03-11 05:21:42,605 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0200 +[2025-03-11 05:21:42,639 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1598 +[2025-03-11 05:21:42,674 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6831 +[2025-03-11 05:21:42,711 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8701 +[2025-03-11 05:21:42,746 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2548 +[2025-03-11 05:21:42,782 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7159 +[2025-03-11 05:21:42,813 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4158 +[2025-03-11 05:21:42,852 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3636 +[2025-03-11 05:21:42,894 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5547 +[2025-03-11 05:21:42,935 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0139 +[2025-03-11 05:21:42,972 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4304 +[2025-03-11 05:21:43,001 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8850 +[2025-03-11 05:21:43,043 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9655 +[2025-03-11 05:21:43,084 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5511 +[2025-03-11 05:21:43,113 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.6963 +[2025-03-11 05:21:43,153 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0985 +[2025-03-11 05:21:43,190 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0527 +[2025-03-11 05:21:43,247 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0201 +[2025-03-11 05:21:43,279 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3393 +[2025-03-11 05:21:43,326 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3197 +[2025-03-11 05:21:43,366 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8951 +[2025-03-11 05:21:43,407 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.4316 +[2025-03-11 05:21:43,442 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3428 +[2025-03-11 05:21:43,506 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2674 +[2025-03-11 05:21:43,549 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.3105 +[2025-03-11 05:21:43,607 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.1774 +[2025-03-11 05:21:43,665 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7180 +[2025-03-11 05:21:43,712 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7437 +[2025-03-11 05:21:43,767 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.7602 +[2025-03-11 05:21:43,800 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.5127 +[2025-03-11 05:21:43,862 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7698 +[2025-03-11 05:21:43,888 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3967 +[2025-03-11 05:21:45,275 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:21:45,275 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:21:45,275 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] wall : 0.7806 0.9269 +[2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] chair : 0.6969 0.8168 +[2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] floor : 0.9571 0.9834 +[2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] table : 0.6353 0.7754 +[2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] door : 0.6403 0.8566 +[2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] couch : 0.7915 0.9434 +[2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] cabinet : 0.3550 0.5408 +[2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] shelf : 0.4009 0.5281 +[2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] desk : 0.5780 0.7933 +[2025-03-11 05:21:45,275 INFO hook.py line 689 2389709] office chair : 0.1952 0.3486 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] bed : 0.7980 0.8584 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] pillow : 0.5884 0.7641 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] sink : 0.6846 0.7674 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] picture : 0.3706 0.4719 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] window : 0.5674 0.6700 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] toilet : 0.9253 0.9655 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] bookshelf : 0.4961 0.7266 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] monitor : 0.8455 0.9153 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] curtain : 0.6863 0.7979 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] book : 0.3887 0.4991 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] armchair : 0.5500 0.7448 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] coffee table : 0.5854 0.7187 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] box : 0.2500 0.3039 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] refrigerator : 0.6884 0.7505 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] lamp : 0.6403 0.7956 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] kitchen cabinet: 0.6422 0.7835 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] towel : 0.4707 0.6333 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] clothes : 0.2123 0.3631 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] tv : 0.8499 0.9003 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] nightstand : 0.7166 0.8169 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] counter : 0.2860 0.4952 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] dresser : 0.4172 0.6439 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] stool : 0.5670 0.7201 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] plant : 0.7628 0.8433 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] ceiling : 0.9283 0.9682 +[2025-03-11 05:21:45,276 INFO hook.py line 689 2389709] bathtub : 0.8641 0.9194 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] end table : 0.2337 0.3227 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] dining table : 0.0094 0.0101 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] keyboard : 0.4423 0.5798 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] bag : 0.1679 0.2260 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] backpack : 0.6211 0.7140 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] toilet paper : 0.4523 0.5561 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] printer : 0.4926 0.5955 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] tv stand : 0.4803 0.7661 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] whiteboard : 0.5023 0.7607 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] blanket : 0.0374 0.0518 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] shower curtain : 0.6606 0.7154 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] trash can : 0.6401 0.8205 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] closet : 0.1628 0.2185 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] stairs : 0.4896 0.6307 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] microwave : 0.5200 0.6192 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] stove : 0.5856 0.8744 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] shoe : 0.5048 0.6880 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] computer tower : 0.5947 0.8053 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] bottle : 0.1416 0.3215 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] bin : 0.0009 0.0011 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] ottoman : 0.2673 0.2763 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] bench : 0.3337 0.3601 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] board : 0.1779 0.3389 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] washing machine: 0.8619 0.9016 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] mirror : 0.3897 0.5060 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] copier : 0.8991 0.9101 +[2025-03-11 05:21:45,277 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] sofa chair : 0.1483 0.2322 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] file cabinet : 0.4466 0.5370 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] fan : 0.2768 0.2938 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] laptop : 0.4821 0.6185 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] shower : 0.2307 0.2486 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] paper : 0.0303 0.0421 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] person : 0.3606 0.6033 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] paper towel dispenser: 0.5689 0.8709 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] oven : 0.0449 0.0484 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] blackboard : 0.6062 0.6721 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] piano : 0.5658 0.6230 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] suitcase : 0.6549 0.7819 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] rail : 0.0265 0.0370 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] radiator : 0.6488 0.6840 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] recycling bin : 0.4943 0.6019 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] container : 0.0027 0.0047 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] wardrobe : 0.1072 0.1257 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] soap dispenser : 0.7913 0.9269 +[2025-03-11 05:21:45,278 INFO hook.py line 689 2389709] telephone : 0.3057 0.4109 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] bucket : 0.4327 0.8242 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] clock : 0.2492 0.3144 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] light : 0.0415 0.0525 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] laundry basket : 0.0062 0.0074 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] pipe : 0.0308 0.0403 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] clothes dryer : 0.5749 0.5914 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] guitar : 0.6401 0.8843 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] toilet paper holder: 0.0000 0.0000 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] ladder : 0.4866 0.5259 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] bathroom stall : 0.4703 0.6016 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] shower wall : 0.3926 0.5042 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] cup : 0.1766 0.2664 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] jacket : 0.1998 0.2972 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] storage bin : 0.0224 0.0284 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] coffee maker : 0.9031 0.9529 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] dishwasher : 0.3056 0.3826 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] paper towel roll: 0.3632 0.4468 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] mat : 0.1165 0.1215 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] windowsill : 0.0934 0.1024 +[2025-03-11 05:21:45,279 INFO hook.py line 689 2389709] bar : 0.1295 0.2680 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] toaster : 0.3813 0.6429 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] bulletin board : 0.2162 0.5156 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] ironing board : 0.0765 0.0879 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] fireplace : 0.3209 0.3319 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] soap dish : 0.3577 0.4946 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] kitchen counter: 0.4981 0.6148 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] doorframe : 0.4054 0.5675 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4113 0.5041 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] mini fridge : 0.1733 0.1803 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] fire extinguisher: 0.1755 0.1899 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] ball : 0.4929 0.6708 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] shower curtain rod: 0.3750 0.8947 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] water cooler : 0.6387 0.7196 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] paper cutter : 0.2382 0.2670 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] tray : 0.0731 0.1064 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] shower door : 0.1875 0.3238 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] pillar : 0.0023 0.0023 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] ledge : 0.0359 0.0614 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] toaster oven : 0.1452 0.1461 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] mouse : 0.0687 0.4449 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6789 0.8552 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] cart : 0.0921 0.0950 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] scale : 0.2347 0.9543 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] tissue box : 0.1995 0.2755 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] light switch : 0.0186 0.0562 +[2025-03-11 05:21:45,280 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] power outlet : 0.1988 0.3924 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] decoration : 0.2254 0.3385 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] projector : 0.1141 0.8945 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] closet door : 0.0297 0.0312 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] vacuum cleaner : 0.8745 0.9671 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] plunger : 0.6375 0.9776 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] dish rack : 0.8285 0.9489 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] broom : 0.0394 0.0505 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] range hood : 0.6507 0.7561 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] dustpan : 0.1571 0.3769 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] water bottle : 0.0575 0.0972 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] handicap bar : 0.0111 0.1466 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] vent : 0.0614 0.2079 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] shower floor : 0.8922 0.9751 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] mailbox : 0.5032 0.5259 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] bowl : 0.1226 0.1378 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] paper bag : 0.1061 0.2512 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:21:45,281 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] divider : 0.4908 0.6122 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] bathroom counter: 0.2523 0.3167 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] object : 0.0211 0.0272 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] bathroom vanity: 0.4982 0.7883 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] closet wall : 0.0381 0.0598 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] laundry hamper : 0.0489 0.0610 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] bathroom stall door: 0.5286 0.6687 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] ceiling light : 0.2019 0.2234 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] trash bin : 0.2497 0.3259 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] dumbbell : 0.5448 0.9718 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] stair rail : 0.1068 0.1234 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] tube : 0.0316 0.0410 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] bathroom cabinet: 0.4110 0.6143 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] closet rod : 0.5876 0.8163 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] coffee kettle : 0.2762 0.4456 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] shower head : 0.3028 0.3711 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] case of water bottles: 0.0218 0.0223 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] coat rack : 0.0245 0.1524 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] fire alarm : 0.1724 0.7955 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:21:45,282 INFO hook.py line 689 2389709] poster : 0.0001 0.0001 +[2025-03-11 05:21:45,283 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:21:45,283 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:21:45,283 INFO hook.py line 689 2389709] mattress : 0.0682 0.0685 +[2025-03-11 05:21:45,283 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:21:45,283 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3090/0.4054/0.8182. +[2025-03-11 05:21:45,283 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:21:45,300 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3172 +[2025-03-11 05:21:45,300 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:22:15,445 INFO hook.py line 566 2389709] Train: [74/100][50/300] Data 0.003 (0.002) Batch 0.509 (0.499) Remain 01:06:55 loss: 0.5409 Lr: 9.23255e-04 +[2025-03-11 05:22:40,214 INFO hook.py line 566 2389709] Train: [74/100][100/300] Data 0.003 (0.002) Batch 0.492 (0.497) Remain 01:06:16 loss: 0.5849 Lr: 9.12589e-04 +[2025-03-11 05:23:04,729 INFO hook.py line 566 2389709] Train: [74/100][150/300] Data 0.002 (0.002) Batch 0.455 (0.495) Remain 01:05:33 loss: 0.6388 Lr: 9.01971e-04 +[2025-03-11 05:23:28,896 INFO hook.py line 566 2389709] Train: [74/100][200/300] Data 0.002 (0.002) Batch 0.433 (0.492) Remain 01:04:45 loss: 0.6841 Lr: 8.91402e-04 +[2025-03-11 05:23:53,883 INFO hook.py line 566 2389709] Train: [74/100][250/300] Data 0.002 (0.002) Batch 0.468 (0.493) Remain 01:04:33 loss: 0.3862 Lr: 8.80882e-04 +[2025-03-11 05:24:17,977 INFO hook.py line 566 2389709] Train: [74/100][300/300] Data 0.001 (0.002) Batch 0.475 (0.492) Remain 01:03:53 loss: 0.6080 Lr: 8.70411e-04 +[2025-03-11 05:24:17,977 INFO misc.py line 135 2389709] Train result: loss: 0.5153 +[2025-03-11 05:24:18,076 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:25:13,106 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5281 +[2025-03-11 05:25:13,159 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2768 +[2025-03-11 05:25:13,193 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4054 +[2025-03-11 05:25:13,244 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4387 +[2025-03-11 05:25:13,279 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9277 +[2025-03-11 05:25:13,336 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.7387 +[2025-03-11 05:25:13,389 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8757 +[2025-03-11 05:25:13,424 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6355 +[2025-03-11 05:25:13,473 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1136 +[2025-03-11 05:25:13,512 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2302 +[2025-03-11 05:25:13,561 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2751 +[2025-03-11 05:25:13,598 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0045 +[2025-03-11 05:25:13,649 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.3408 +[2025-03-11 05:25:13,692 INFO hook.py line 748 2389709] Test: [14/78] Loss 3.9841 +[2025-03-11 05:25:13,729 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1587 +[2025-03-11 05:25:13,780 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.1367 +[2025-03-11 05:25:13,818 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4767 +[2025-03-11 05:25:13,857 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9324 +[2025-03-11 05:25:13,905 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3497 +[2025-03-11 05:25:13,954 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.9487 +[2025-03-11 05:25:13,990 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8334 +[2025-03-11 05:25:14,031 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0157 +[2025-03-11 05:25:14,065 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3546 +[2025-03-11 05:25:14,118 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8403 +[2025-03-11 05:25:14,170 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6712 +[2025-03-11 05:25:14,220 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1013 +[2025-03-11 05:25:14,277 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1430 +[2025-03-11 05:25:14,317 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6968 +[2025-03-11 05:25:14,348 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.3283 +[2025-03-11 05:25:14,405 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6641 +[2025-03-11 05:25:14,466 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4702 +[2025-03-11 05:25:14,505 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.0598 +[2025-03-11 05:25:14,562 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7799 +[2025-03-11 05:25:14,606 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2692 +[2025-03-11 05:25:14,646 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1483 +[2025-03-11 05:25:14,701 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4002 +[2025-03-11 05:25:14,746 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0661 +[2025-03-11 05:25:14,775 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9042 +[2025-03-11 05:25:14,845 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1427 +[2025-03-11 05:25:14,896 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4683 +[2025-03-11 05:25:14,945 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.6078 +[2025-03-11 05:25:14,987 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4331 +[2025-03-11 05:25:15,027 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0205 +[2025-03-11 05:25:15,091 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9370 +[2025-03-11 05:25:15,140 INFO hook.py line 748 2389709] Test: [45/78] Loss 2.0869 +[2025-03-11 05:25:15,198 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0993 +[2025-03-11 05:25:15,241 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9846 +[2025-03-11 05:25:15,280 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9745 +[2025-03-11 05:25:15,314 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3620 +[2025-03-11 05:25:15,347 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.7548 +[2025-03-11 05:25:15,381 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3856 +[2025-03-11 05:25:15,421 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8035 +[2025-03-11 05:25:15,453 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2215 +[2025-03-11 05:25:15,489 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.3625 +[2025-03-11 05:25:15,527 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3998 +[2025-03-11 05:25:15,568 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.7601 +[2025-03-11 05:25:15,607 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.9069 +[2025-03-11 05:25:15,634 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9795 +[2025-03-11 05:25:15,675 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9753 +[2025-03-11 05:25:15,716 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6501 +[2025-03-11 05:25:15,748 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.6577 +[2025-03-11 05:25:15,788 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9311 +[2025-03-11 05:25:15,830 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.8580 +[2025-03-11 05:25:15,887 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9652 +[2025-03-11 05:25:15,919 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2061 +[2025-03-11 05:25:15,963 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7450 +[2025-03-11 05:25:16,006 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8294 +[2025-03-11 05:25:16,050 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9698 +[2025-03-11 05:25:16,084 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4285 +[2025-03-11 05:25:16,144 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6684 +[2025-03-11 05:25:16,188 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7319 +[2025-03-11 05:25:16,245 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9166 +[2025-03-11 05:25:16,303 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7608 +[2025-03-11 05:25:16,346 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.1841 +[2025-03-11 05:25:16,401 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.3965 +[2025-03-11 05:25:16,438 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9478 +[2025-03-11 05:25:16,501 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4930 +[2025-03-11 05:25:16,531 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.6024 +[2025-03-11 05:25:17,788 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:25:17,789 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:25:17,789 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] wall : 0.7986 0.9244 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] chair : 0.7061 0.8341 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] floor : 0.9603 0.9822 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] table : 0.6288 0.7310 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] door : 0.6811 0.8205 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] couch : 0.8088 0.9054 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] cabinet : 0.3647 0.5435 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] shelf : 0.4218 0.6030 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] desk : 0.5662 0.8299 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] office chair : 0.1751 0.3033 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] bed : 0.7798 0.9106 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] pillow : 0.5354 0.7932 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] sink : 0.6510 0.7376 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] picture : 0.3786 0.5227 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] window : 0.6216 0.7882 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] toilet : 0.9421 0.9685 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] bookshelf : 0.5073 0.6578 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] monitor : 0.8274 0.8873 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] curtain : 0.7113 0.8251 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] book : 0.4639 0.6862 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] armchair : 0.5351 0.7801 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] coffee table : 0.6140 0.7567 +[2025-03-11 05:25:17,789 INFO hook.py line 689 2389709] box : 0.2931 0.3957 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] refrigerator : 0.6778 0.7076 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] lamp : 0.6273 0.7850 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] kitchen cabinet: 0.6583 0.7881 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] towel : 0.4892 0.5962 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] clothes : 0.1986 0.4049 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] tv : 0.8666 0.9190 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] nightstand : 0.6685 0.8506 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] counter : 0.2917 0.3917 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] dresser : 0.4302 0.7292 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] stool : 0.5567 0.6617 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] plant : 0.7404 0.8906 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] ceiling : 0.9263 0.9702 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] bathtub : 0.8805 0.9330 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] end table : 0.2346 0.3318 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] dining table : 0.0395 0.0435 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] keyboard : 0.3940 0.4930 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] bag : 0.2185 0.2798 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] backpack : 0.6117 0.7221 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] toilet paper : 0.4801 0.5114 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] printer : 0.4408 0.6026 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] tv stand : 0.5652 0.6567 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] whiteboard : 0.5186 0.6648 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] blanket : 0.0342 0.0485 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] shower curtain : 0.6971 0.8072 +[2025-03-11 05:25:17,790 INFO hook.py line 689 2389709] trash can : 0.5721 0.7531 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] closet : 0.1612 0.2109 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] stairs : 0.4280 0.7420 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] microwave : 0.5161 0.7862 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] stove : 0.6428 0.8464 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] shoe : 0.4844 0.5429 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] computer tower : 0.5571 0.7510 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] bottle : 0.0958 0.1525 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] bin : 0.0002 0.0007 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] ottoman : 0.4041 0.4716 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] bench : 0.4247 0.5117 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] board : 0.1691 0.2672 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] washing machine: 0.7228 0.9501 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] mirror : 0.4165 0.5234 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] copier : 0.6413 0.9628 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] sofa chair : 0.1026 0.1353 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] file cabinet : 0.4256 0.5756 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] fan : 0.5148 0.5580 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] laptop : 0.4899 0.7733 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] shower : 0.3222 0.3615 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] paper : 0.0785 0.1207 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] person : 0.3325 0.5853 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] paper towel dispenser: 0.6015 0.8219 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] oven : 0.1273 0.1395 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] blinds : 0.0001 0.0001 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:25:17,791 INFO hook.py line 689 2389709] blackboard : 0.5628 0.6603 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] piano : 0.3828 0.7458 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] suitcase : 0.6817 0.7886 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] rail : 0.0590 0.0656 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] radiator : 0.6625 0.7133 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] recycling bin : 0.3362 0.7166 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] wardrobe : 0.1037 0.1350 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] soap dispenser : 0.8438 0.8957 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] telephone : 0.2496 0.3603 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] bucket : 0.4085 0.5887 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] clock : 0.2230 0.2689 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] light : 0.0289 0.0364 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] laundry basket : 0.0006 0.0007 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] pipe : 0.0860 0.1150 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] clothes dryer : 0.4750 0.4817 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] guitar : 0.6127 0.6945 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] toilet paper holder: 0.0406 0.0909 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] column : 0.0002 0.0002 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] ladder : 0.5226 0.5977 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] bathroom stall : 0.4014 0.4358 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] shower wall : 0.4689 0.5836 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] cup : 0.1951 0.2725 +[2025-03-11 05:25:17,792 INFO hook.py line 689 2389709] jacket : 0.2563 0.2994 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] storage bin : 0.0771 0.1006 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] coffee maker : 0.6121 0.7421 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] dishwasher : 0.2573 0.5284 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] paper towel roll: 0.2929 0.3639 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] mat : 0.1885 0.2100 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] windowsill : 0.1306 0.1626 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] bar : 0.0764 0.2342 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] toaster : 0.6401 0.8034 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] bulletin board : 0.2866 0.4710 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] ironing board : 0.0990 0.1055 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] fireplace : 0.5550 0.5840 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] soap dish : 0.3487 0.5156 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] kitchen counter: 0.5810 0.7372 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] doorframe : 0.4198 0.5876 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3912 0.4775 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] mini fridge : 0.2997 0.3153 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] fire extinguisher: 0.2161 0.2161 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] ball : 0.6617 0.6916 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] shower curtain rod: 0.4262 0.9102 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] water cooler : 0.7952 0.8233 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] paper cutter : 0.2087 0.2560 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] tray : 0.0335 0.0388 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] shower door : 0.2447 0.2749 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] pillar : 0.0053 0.0053 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] ledge : 0.0522 0.0757 +[2025-03-11 05:25:17,793 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] mouse : 0.1095 0.3677 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.5011 0.5533 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] cart : 0.1125 0.1339 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] scale : 0.4883 0.8115 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] tissue box : 0.2006 0.2233 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] light switch : 0.0312 0.0621 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] power outlet : 0.2785 0.3193 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] decoration : 0.3703 0.6360 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] projector : 0.1065 1.0000 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] closet door : 0.0550 0.0680 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] vacuum cleaner : 0.9173 0.9772 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] plunger : 0.6350 0.9805 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] headphones : 0.0103 0.0106 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] dish rack : 0.7846 0.9461 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] broom : 0.0950 0.1131 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] range hood : 0.7250 0.9095 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] dustpan : 0.0963 0.1770 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] handicap bar : 0.0084 0.0817 +[2025-03-11 05:25:17,794 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] vent : 0.0000 0.0000 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] shower floor : 0.8761 0.9596 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] mailbox : 0.4693 0.4806 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] bowl : 0.1919 0.2693 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] paper bag : 0.1415 0.1707 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] divider : 0.3681 0.3923 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] bathroom counter: 0.2903 0.4223 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] object : 0.0229 0.0342 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] bathroom vanity: 0.5078 0.7730 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] closet wall : 0.0104 0.0127 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] laundry hamper : 0.0151 0.0173 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] bathroom stall door: 0.5533 0.6702 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] ceiling light : 0.3224 0.3520 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] trash bin : 0.3052 0.4048 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] dumbbell : 0.6542 0.9844 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] stair rail : 0.2076 0.2536 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] tube : 0.0095 0.0107 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] bathroom cabinet: 0.3908 0.4754 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] closet rod : 0.5927 0.7163 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] coffee kettle : 0.0000 0.0000 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:25:17,795 INFO hook.py line 689 2389709] shower head : 0.2916 0.3560 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] case of water bottles: 0.0017 0.0017 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] coat rack : 0.0097 0.0358 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:25:17,796 INFO hook.py line 689 2389709] mattress : 0.0569 0.0587 +[2025-03-11 05:25:17,796 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:25:17,796 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3138/0.4026/0.8235. +[2025-03-11 05:25:17,797 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:25:17,813 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3172 +[2025-03-11 05:25:17,813 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:25:48,575 INFO hook.py line 566 2389709] Train: [75/100][50/300] Data 0.003 (0.002) Batch 0.521 (0.504) Remain 01:05:02 loss: 0.5865 Lr: 8.60197e-04 +[2025-03-11 05:26:12,913 INFO hook.py line 566 2389709] Train: [75/100][100/300] Data 0.002 (0.002) Batch 0.450 (0.495) Remain 01:03:30 loss: 0.4107 Lr: 8.49824e-04 +[2025-03-11 05:26:37,603 INFO hook.py line 566 2389709] Train: [75/100][150/300] Data 0.002 (0.002) Batch 0.451 (0.495) Remain 01:03:03 loss: 0.5186 Lr: 8.39502e-04 +[2025-03-11 05:27:02,299 INFO hook.py line 566 2389709] Train: [75/100][200/300] Data 0.002 (0.002) Batch 0.532 (0.494) Remain 01:02:37 loss: 0.4415 Lr: 8.29230e-04 +[2025-03-11 05:27:26,996 INFO hook.py line 566 2389709] Train: [75/100][250/300] Data 0.002 (0.002) Batch 0.454 (0.494) Remain 01:02:11 loss: 0.6338 Lr: 8.19008e-04 +[2025-03-11 05:27:50,968 INFO hook.py line 566 2389709] Train: [75/100][300/300] Data 0.002 (0.002) Batch 0.484 (0.492) Remain 01:01:28 loss: 0.5181 Lr: 8.08838e-04 +[2025-03-11 05:27:50,968 INFO misc.py line 135 2389709] Train result: loss: 0.4963 +[2025-03-11 05:27:51,067 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:28:43,485 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.5373 +[2025-03-11 05:28:43,575 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0374 +[2025-03-11 05:28:43,621 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4497 +[2025-03-11 05:28:43,671 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4681 +[2025-03-11 05:28:43,706 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8779 +[2025-03-11 05:28:43,768 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2038 +[2025-03-11 05:28:43,820 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7252 +[2025-03-11 05:28:43,850 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.5752 +[2025-03-11 05:28:43,898 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3944 +[2025-03-11 05:28:43,942 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1377 +[2025-03-11 05:28:44,000 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1961 +[2025-03-11 05:28:44,038 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2437 +[2025-03-11 05:28:44,090 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.7903 +[2025-03-11 05:28:44,132 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.8100 +[2025-03-11 05:28:44,182 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3807 +[2025-03-11 05:28:44,233 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0931 +[2025-03-11 05:28:44,276 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4676 +[2025-03-11 05:28:44,317 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0920 +[2025-03-11 05:28:44,364 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.3608 +[2025-03-11 05:28:44,404 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7636 +[2025-03-11 05:28:44,439 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7729 +[2025-03-11 05:28:44,491 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9108 +[2025-03-11 05:28:44,534 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5672 +[2025-03-11 05:28:44,590 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8528 +[2025-03-11 05:28:44,635 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5821 +[2025-03-11 05:28:44,683 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2690 +[2025-03-11 05:28:44,740 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1023 +[2025-03-11 05:28:44,788 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8232 +[2025-03-11 05:28:44,820 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1911 +[2025-03-11 05:28:44,882 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2714 +[2025-03-11 05:28:44,940 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4550 +[2025-03-11 05:28:44,976 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.7658 +[2025-03-11 05:28:45,037 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8097 +[2025-03-11 05:28:45,080 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4125 +[2025-03-11 05:28:45,121 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4780 +[2025-03-11 05:28:45,165 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4317 +[2025-03-11 05:28:45,206 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.6066 +[2025-03-11 05:28:45,236 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9320 +[2025-03-11 05:28:45,306 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3990 +[2025-03-11 05:28:45,354 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5084 +[2025-03-11 05:28:45,406 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3740 +[2025-03-11 05:28:45,438 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4757 +[2025-03-11 05:28:45,488 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.8932 +[2025-03-11 05:28:45,546 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9495 +[2025-03-11 05:28:45,583 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6880 +[2025-03-11 05:28:45,635 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0840 +[2025-03-11 05:28:45,675 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7437 +[2025-03-11 05:28:45,709 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0070 +[2025-03-11 05:28:45,742 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.4274 +[2025-03-11 05:28:45,777 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6153 +[2025-03-11 05:28:45,805 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3804 +[2025-03-11 05:28:45,841 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6420 +[2025-03-11 05:28:45,868 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.2905 +[2025-03-11 05:28:45,903 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0385 +[2025-03-11 05:28:45,942 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3692 +[2025-03-11 05:28:45,983 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.1627 +[2025-03-11 05:28:46,016 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0671 +[2025-03-11 05:28:46,041 INFO hook.py line 748 2389709] Test: [58/78] Loss 1.0283 +[2025-03-11 05:28:46,080 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0022 +[2025-03-11 05:28:46,116 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5926 +[2025-03-11 05:28:46,141 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7354 +[2025-03-11 05:28:46,178 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9713 +[2025-03-11 05:28:46,214 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2012 +[2025-03-11 05:28:46,272 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8746 +[2025-03-11 05:28:46,300 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2476 +[2025-03-11 05:28:46,343 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1138 +[2025-03-11 05:28:46,382 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1239 +[2025-03-11 05:28:46,419 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1838 +[2025-03-11 05:28:46,449 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3846 +[2025-03-11 05:28:46,510 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6589 +[2025-03-11 05:28:46,554 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0443 +[2025-03-11 05:28:46,609 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9750 +[2025-03-11 05:28:46,663 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6815 +[2025-03-11 05:28:46,709 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8978 +[2025-03-11 05:28:46,760 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6730 +[2025-03-11 05:28:46,788 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1286 +[2025-03-11 05:28:46,848 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4925 +[2025-03-11 05:28:46,875 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2382 +[2025-03-11 05:28:48,186 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:28:48,187 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:28:48,187 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] wall : 0.7941 0.9305 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] chair : 0.6995 0.8336 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] floor : 0.9582 0.9837 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] table : 0.6472 0.7597 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] door : 0.6572 0.7530 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] couch : 0.7924 0.9027 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] cabinet : 0.3718 0.5750 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] shelf : 0.3905 0.5403 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] desk : 0.5816 0.8003 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] office chair : 0.1673 0.2910 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] bed : 0.7685 0.8322 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] pillow : 0.5543 0.8146 +[2025-03-11 05:28:48,187 INFO hook.py line 689 2389709] sink : 0.6340 0.7635 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] picture : 0.3778 0.5049 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] window : 0.5845 0.7794 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] toilet : 0.9194 0.9769 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] bookshelf : 0.4795 0.6370 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] monitor : 0.8414 0.9202 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] curtain : 0.7241 0.8113 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] book : 0.4432 0.7159 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] armchair : 0.5366 0.7217 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] coffee table : 0.5953 0.7308 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] box : 0.3188 0.4435 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] refrigerator : 0.6816 0.7848 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] lamp : 0.6844 0.8229 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] kitchen cabinet: 0.6586 0.7490 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] towel : 0.5214 0.6756 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] clothes : 0.1773 0.3368 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] tv : 0.8258 0.9472 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] nightstand : 0.6867 0.8514 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] counter : 0.2820 0.4779 +[2025-03-11 05:28:48,188 INFO hook.py line 689 2389709] dresser : 0.3509 0.4648 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] stool : 0.5934 0.7057 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] plant : 0.7192 0.8762 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] ceiling : 0.9294 0.9707 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] bathtub : 0.8795 0.9147 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] end table : 0.2271 0.3383 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] dining table : 0.0727 0.0854 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] keyboard : 0.3984 0.6257 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] bag : 0.1137 0.1531 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] backpack : 0.6259 0.6751 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] toilet paper : 0.4882 0.6434 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] printer : 0.3718 0.6013 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] tv stand : 0.3186 0.7301 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] whiteboard : 0.5027 0.6014 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] blanket : 0.0392 0.0654 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] shower curtain : 0.6798 0.7545 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] trash can : 0.6264 0.8787 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] closet : 0.1114 0.1621 +[2025-03-11 05:28:48,189 INFO hook.py line 689 2389709] stairs : 0.5721 0.6491 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] microwave : 0.5082 0.7313 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] stove : 0.6288 0.8509 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] shoe : 0.4667 0.5294 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] computer tower : 0.5522 0.7432 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] bottle : 0.1063 0.2210 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] ottoman : 0.2351 0.2609 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] bench : 0.4337 0.5240 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] board : 0.1724 0.2733 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] washing machine: 0.8107 0.9365 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] mirror : 0.4135 0.5014 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] copier : 0.8627 0.9290 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] sofa chair : 0.1742 0.2817 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] file cabinet : 0.4277 0.5704 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] fan : 0.3792 0.4204 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] laptop : 0.5259 0.7063 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] shower : 0.2451 0.2586 +[2025-03-11 05:28:48,190 INFO hook.py line 689 2389709] paper : 0.0491 0.0706 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] person : 0.3122 0.6322 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] paper towel dispenser: 0.5877 0.7705 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] oven : 0.1124 0.1268 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] blinds : 0.0002 0.0003 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] plate : 0.1196 0.1911 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] blackboard : 0.5710 0.6763 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] piano : 0.6307 0.8664 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] suitcase : 0.5511 0.7711 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] rail : 0.0303 0.0361 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] radiator : 0.6419 0.7157 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] recycling bin : 0.4949 0.5542 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] container : 0.0073 0.0158 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] wardrobe : 0.1491 0.2036 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] soap dispenser : 0.8357 0.9256 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] telephone : 0.2362 0.4044 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] bucket : 0.2593 0.3486 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] clock : 0.2901 0.3645 +[2025-03-11 05:28:48,191 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] light : 0.0647 0.0786 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] laundry basket : 0.0199 0.0250 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] pipe : 0.1003 0.1624 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] clothes dryer : 0.4871 0.5048 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] guitar : 0.8178 0.8712 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] toilet paper holder: 0.0684 0.2827 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] ladder : 0.4093 0.4178 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] bathroom stall : 0.4401 0.5707 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] shower wall : 0.3856 0.4475 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] cup : 0.1494 0.3372 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] jacket : 0.2381 0.3318 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] storage bin : 0.0069 0.0111 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] coffee maker : 0.8399 0.9938 +[2025-03-11 05:28:48,192 INFO hook.py line 689 2389709] dishwasher : 0.2677 0.4043 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] paper towel roll: 0.2560 0.3025 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] mat : 0.2880 0.3100 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] windowsill : 0.0803 0.0857 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] bar : 0.2010 0.3995 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] toaster : 0.6603 0.7902 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] bulletin board : 0.2716 0.4847 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] ironing board : 0.0059 0.0063 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] fireplace : 0.5394 0.5789 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] soap dish : 0.3707 0.5125 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] kitchen counter: 0.4867 0.5973 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] doorframe : 0.4231 0.6461 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3779 0.4499 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] mini fridge : 0.4788 0.5544 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] fire extinguisher: 0.2921 0.3642 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] ball : 0.3104 0.6545 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] shower curtain rod: 0.2828 0.9219 +[2025-03-11 05:28:48,193 INFO hook.py line 689 2389709] water cooler : 0.4825 0.9500 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] paper cutter : 0.3454 0.4347 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] tray : 0.0562 0.0923 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] shower door : 0.1965 0.2212 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] ledge : 0.0662 0.0925 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] mouse : 0.0882 0.5721 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6811 0.7902 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] cart : 0.1211 0.1337 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] scale : 0.4037 0.9423 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] tissue box : 0.1950 0.2706 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] light switch : 0.0435 0.0862 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] power outlet : 0.1408 0.4639 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] decoration : 0.5170 0.6318 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 05:28:48,194 INFO hook.py line 689 2389709] projector : 0.1356 1.0000 +[2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] closet door : 0.1023 0.1162 +[2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] vacuum cleaner : 0.8775 0.9857 +[2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] plunger : 0.4410 0.9873 +[2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] headphones : 0.0385 0.1158 +[2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] dish rack : 0.8951 0.9660 +[2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] broom : 0.0692 0.1232 +[2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:28:48,195 INFO hook.py line 689 2389709] range hood : 0.7751 0.8879 +[2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] dustpan : 0.0818 0.1667 +[2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] water bottle : 0.0022 0.0059 +[2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] handicap bar : 0.0278 0.3169 +[2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] vent : 0.0663 0.0957 +[2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] shower floor : 0.9086 0.9850 +[2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] mailbox : 0.4520 0.4762 +[2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] bowl : 0.2050 0.2794 +[2025-03-11 05:28:48,196 INFO hook.py line 689 2389709] paper bag : 0.0749 0.0937 +[2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] divider : 0.4370 0.5152 +[2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] bathroom counter: 0.3172 0.4096 +[2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] object : 0.0425 0.0813 +[2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] bathroom vanity: 0.4964 0.8152 +[2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] closet wall : 0.0012 0.0016 +[2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] laundry hamper : 0.0549 0.0673 +[2025-03-11 05:28:48,197 INFO hook.py line 689 2389709] bathroom stall door: 0.4448 0.5005 +[2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] ceiling light : 0.4316 0.5010 +[2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] trash bin : 0.2940 0.3775 +[2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] dumbbell : 0.6858 0.9779 +[2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] stair rail : 0.1442 0.1686 +[2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] tube : 0.0151 0.0169 +[2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] bathroom cabinet: 0.2407 0.3291 +[2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] closet rod : 0.6169 0.7685 +[2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] coffee kettle : 0.2997 0.6627 +[2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:28:48,198 INFO hook.py line 689 2389709] shower head : 0.2435 0.3588 +[2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] case of water bottles: 0.0369 0.0370 +[2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] coat rack : 0.0172 0.0356 +[2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:28:48,199 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:28:48,200 INFO hook.py line 689 2389709] mattress : 0.0056 0.0056 +[2025-03-11 05:28:48,200 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:28:48,200 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3137/0.4149/0.8191. +[2025-03-11 05:28:48,201 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:28:48,221 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3172 +[2025-03-11 05:28:48,221 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:29:19,877 INFO hook.py line 566 2389709] Train: [76/100][50/300] Data 0.002 (0.002) Batch 0.440 (0.504) Remain 01:02:34 loss: 0.4747 Lr: 7.98719e-04 +[2025-03-11 05:29:44,688 INFO hook.py line 566 2389709] Train: [76/100][100/300] Data 0.002 (0.002) Batch 0.433 (0.500) Remain 01:01:39 loss: 0.5693 Lr: 7.88652e-04 +[2025-03-11 05:30:09,248 INFO hook.py line 566 2389709] Train: [76/100][150/300] Data 0.002 (0.002) Batch 0.486 (0.497) Remain 01:00:52 loss: 0.4140 Lr: 7.78636e-04 +[2025-03-11 05:30:33,234 INFO hook.py line 566 2389709] Train: [76/100][200/300] Data 0.002 (0.002) Batch 0.508 (0.493) Remain 00:59:55 loss: 0.3960 Lr: 7.68673e-04 +[2025-03-11 05:30:58,268 INFO hook.py line 566 2389709] Train: [76/100][250/300] Data 0.002 (0.002) Batch 0.494 (0.494) Remain 00:59:43 loss: 0.4458 Lr: 7.58763e-04 +[2025-03-11 05:31:22,073 INFO hook.py line 566 2389709] Train: [76/100][300/300] Data 0.001 (0.002) Batch 0.441 (0.491) Remain 00:58:56 loss: 0.5040 Lr: 7.48906e-04 +[2025-03-11 05:31:22,074 INFO misc.py line 135 2389709] Train result: loss: 0.4933 +[2025-03-11 05:31:22,167 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:32:15,025 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4105 +[2025-03-11 05:32:15,084 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2625 +[2025-03-11 05:32:15,124 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.3958 +[2025-03-11 05:32:15,177 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3587 +[2025-03-11 05:32:15,213 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8374 +[2025-03-11 05:32:15,275 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1307 +[2025-03-11 05:32:15,327 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8462 +[2025-03-11 05:32:15,369 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.6310 +[2025-03-11 05:32:15,423 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2173 +[2025-03-11 05:32:15,463 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2786 +[2025-03-11 05:32:15,514 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3131 +[2025-03-11 05:32:15,552 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1365 +[2025-03-11 05:32:15,604 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0768 +[2025-03-11 05:32:15,654 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.8542 +[2025-03-11 05:32:15,693 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1092 +[2025-03-11 05:32:15,742 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0810 +[2025-03-11 05:32:15,780 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4920 +[2025-03-11 05:32:15,825 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9105 +[2025-03-11 05:32:15,870 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5184 +[2025-03-11 05:32:15,907 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7000 +[2025-03-11 05:32:15,942 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.8063 +[2025-03-11 05:32:15,989 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7470 +[2025-03-11 05:32:16,023 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3434 +[2025-03-11 05:32:16,075 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9362 +[2025-03-11 05:32:16,119 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4452 +[2025-03-11 05:32:16,168 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4466 +[2025-03-11 05:32:16,226 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9780 +[2025-03-11 05:32:16,267 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8520 +[2025-03-11 05:32:16,297 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.3610 +[2025-03-11 05:32:16,352 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.3638 +[2025-03-11 05:32:16,409 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3612 +[2025-03-11 05:32:16,448 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4427 +[2025-03-11 05:32:16,505 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8468 +[2025-03-11 05:32:16,548 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3134 +[2025-03-11 05:32:16,588 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.4764 +[2025-03-11 05:32:16,629 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2953 +[2025-03-11 05:32:16,671 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5237 +[2025-03-11 05:32:16,704 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0117 +[2025-03-11 05:32:16,786 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.5364 +[2025-03-11 05:32:16,836 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2156 +[2025-03-11 05:32:16,884 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5883 +[2025-03-11 05:32:16,925 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4054 +[2025-03-11 05:32:16,967 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2305 +[2025-03-11 05:32:17,027 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8131 +[2025-03-11 05:32:17,070 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9365 +[2025-03-11 05:32:17,123 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1262 +[2025-03-11 05:32:17,166 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7595 +[2025-03-11 05:32:17,200 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9888 +[2025-03-11 05:32:17,235 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9139 +[2025-03-11 05:32:17,272 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.8066 +[2025-03-11 05:32:17,307 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.6178 +[2025-03-11 05:32:17,343 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8429 +[2025-03-11 05:32:17,375 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4537 +[2025-03-11 05:32:17,415 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2751 +[2025-03-11 05:32:17,456 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5687 +[2025-03-11 05:32:17,499 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9813 +[2025-03-11 05:32:17,532 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3756 +[2025-03-11 05:32:17,562 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.9623 +[2025-03-11 05:32:17,603 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9635 +[2025-03-11 05:32:17,644 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5861 +[2025-03-11 05:32:17,673 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8385 +[2025-03-11 05:32:17,713 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.2083 +[2025-03-11 05:32:17,749 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9166 +[2025-03-11 05:32:17,806 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0503 +[2025-03-11 05:32:17,838 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.2471 +[2025-03-11 05:32:17,881 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2495 +[2025-03-11 05:32:17,921 INFO hook.py line 748 2389709] Test: [67/78] Loss 1.1449 +[2025-03-11 05:32:17,961 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.2234 +[2025-03-11 05:32:17,994 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3782 +[2025-03-11 05:32:18,055 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.5543 +[2025-03-11 05:32:18,102 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6873 +[2025-03-11 05:32:18,160 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.1895 +[2025-03-11 05:32:18,218 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6261 +[2025-03-11 05:32:18,264 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.2400 +[2025-03-11 05:32:18,316 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6817 +[2025-03-11 05:32:18,344 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9790 +[2025-03-11 05:32:18,408 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4497 +[2025-03-11 05:32:18,435 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3972 +[2025-03-11 05:32:19,711 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:32:19,711 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:32:19,711 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:32:19,711 INFO hook.py line 689 2389709] wall : 0.7849 0.9296 +[2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] chair : 0.7197 0.8628 +[2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] floor : 0.9593 0.9819 +[2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] table : 0.6190 0.7214 +[2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] door : 0.6763 0.7738 +[2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] couch : 0.7709 0.9214 +[2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] cabinet : 0.3757 0.6210 +[2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] shelf : 0.3883 0.5048 +[2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] desk : 0.5699 0.8121 +[2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] office chair : 0.1706 0.2416 +[2025-03-11 05:32:19,712 INFO hook.py line 689 2389709] bed : 0.7927 0.8880 +[2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] pillow : 0.5597 0.7318 +[2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] sink : 0.6693 0.7533 +[2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] picture : 0.3994 0.5363 +[2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] window : 0.5860 0.7391 +[2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] toilet : 0.9327 0.9548 +[2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] bookshelf : 0.4840 0.6602 +[2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] monitor : 0.8443 0.9037 +[2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] curtain : 0.6689 0.7626 +[2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] book : 0.4660 0.7545 +[2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] armchair : 0.4919 0.6554 +[2025-03-11 05:32:19,713 INFO hook.py line 689 2389709] coffee table : 0.5839 0.7085 +[2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] box : 0.2715 0.3461 +[2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] refrigerator : 0.6814 0.7517 +[2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] lamp : 0.6575 0.7987 +[2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] kitchen cabinet: 0.6724 0.7704 +[2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] towel : 0.4678 0.6169 +[2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] clothes : 0.1968 0.4441 +[2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] tv : 0.8608 0.9114 +[2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] nightstand : 0.7190 0.8678 +[2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] counter : 0.2756 0.4907 +[2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] dresser : 0.4006 0.5701 +[2025-03-11 05:32:19,714 INFO hook.py line 689 2389709] stool : 0.5696 0.6966 +[2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] plant : 0.7404 0.8840 +[2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] ceiling : 0.9325 0.9636 +[2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] bathtub : 0.8834 0.9122 +[2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] end table : 0.2158 0.3384 +[2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] dining table : 0.1049 0.1875 +[2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] keyboard : 0.4122 0.5937 +[2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] bag : 0.1831 0.2445 +[2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] backpack : 0.6297 0.7498 +[2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] toilet paper : 0.4847 0.5792 +[2025-03-11 05:32:19,715 INFO hook.py line 689 2389709] printer : 0.4994 0.6405 +[2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] tv stand : 0.4522 0.6369 +[2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] whiteboard : 0.4784 0.7123 +[2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] blanket : 0.0468 0.0570 +[2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] shower curtain : 0.6768 0.7546 +[2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] trash can : 0.6390 0.8098 +[2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] closet : 0.1207 0.1649 +[2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] stairs : 0.4074 0.7084 +[2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] microwave : 0.4875 0.7063 +[2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] stove : 0.6535 0.8623 +[2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] shoe : 0.4672 0.6930 +[2025-03-11 05:32:19,716 INFO hook.py line 689 2389709] computer tower : 0.6150 0.7601 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] bottle : 0.1492 0.4116 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] bin : 0.0008 0.0016 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] ottoman : 0.2880 0.3009 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] bench : 0.4425 0.4942 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] board : 0.1561 0.1970 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] washing machine: 0.8456 0.9416 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] mirror : 0.3810 0.4882 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] copier : 0.8769 0.9453 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] sofa chair : 0.1125 0.1685 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] file cabinet : 0.4505 0.5792 +[2025-03-11 05:32:19,717 INFO hook.py line 689 2389709] fan : 0.3819 0.4446 +[2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] laptop : 0.5833 0.7065 +[2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] shower : 0.2264 0.2495 +[2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] paper : 0.0088 0.0111 +[2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] person : 0.3380 0.5061 +[2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] paper towel dispenser: 0.4779 0.7651 +[2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] oven : 0.1223 0.1569 +[2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] blinds : 0.0011 0.0013 +[2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] blackboard : 0.5587 0.7136 +[2025-03-11 05:32:19,718 INFO hook.py line 689 2389709] piano : 0.5198 0.6981 +[2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] suitcase : 0.6475 0.7600 +[2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] rail : 0.0138 0.0149 +[2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] radiator : 0.6559 0.7363 +[2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] recycling bin : 0.4716 0.6864 +[2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] container : 0.0475 0.0816 +[2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] wardrobe : 0.1683 0.2023 +[2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] soap dispenser : 0.7414 0.9143 +[2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] telephone : 0.2597 0.3715 +[2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] bucket : 0.2694 0.3527 +[2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] clock : 0.2642 0.3116 +[2025-03-11 05:32:19,719 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] light : 0.0551 0.0641 +[2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] laundry basket : 0.1030 0.1241 +[2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] pipe : 0.0443 0.0604 +[2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] clothes dryer : 0.6423 0.6721 +[2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] guitar : 0.6992 0.8564 +[2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] toilet paper holder: 0.0535 0.1899 +[2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] column : 0.0021 0.0022 +[2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:32:19,720 INFO hook.py line 689 2389709] ladder : 0.4282 0.4925 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] bathroom stall : 0.4106 0.4950 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] shower wall : 0.4528 0.6190 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] cup : 0.2074 0.4439 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] jacket : 0.1714 0.2554 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] coffee maker : 0.7597 0.9909 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] dishwasher : 0.4179 0.5524 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] paper towel roll: 0.3234 0.3749 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] mat : 0.1855 0.1865 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] windowsill : 0.0707 0.0737 +[2025-03-11 05:32:19,721 INFO hook.py line 689 2389709] bar : 0.1463 0.2964 +[2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] toaster : 0.4411 0.7744 +[2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] bulletin board : 0.3581 0.5726 +[2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] ironing board : 0.0644 0.0684 +[2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] fireplace : 0.6781 0.7090 +[2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] soap dish : 0.3557 0.4990 +[2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] kitchen counter: 0.5561 0.6758 +[2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] doorframe : 0.4435 0.6257 +[2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4893 0.6183 +[2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] mini fridge : 0.2583 0.2698 +[2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] fire extinguisher: 0.2150 0.2238 +[2025-03-11 05:32:19,722 INFO hook.py line 689 2389709] ball : 0.5727 0.9053 +[2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] shower curtain rod: 0.3143 0.9183 +[2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] water cooler : 0.7551 0.8580 +[2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] paper cutter : 0.2343 0.2870 +[2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] tray : 0.0724 0.1134 +[2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] shower door : 0.2090 0.2548 +[2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] pillar : 0.0016 0.0016 +[2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] ledge : 0.0379 0.0539 +[2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] toaster oven : 0.0088 0.0089 +[2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] mouse : 0.1102 0.5000 +[2025-03-11 05:32:19,723 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6897 0.8476 +[2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] cart : 0.1209 0.1282 +[2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] scale : 0.3823 0.9414 +[2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] tissue box : 0.1299 0.1644 +[2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] light switch : 0.0449 0.2156 +[2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] power outlet : 0.2764 0.4365 +[2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] decoration : 0.3174 0.4543 +[2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 05:32:19,724 INFO hook.py line 689 2389709] projector : 0.2938 1.0000 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] closet door : 0.0242 0.0262 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] vacuum cleaner : 0.8996 0.9734 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] plunger : 0.7210 0.9744 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] headphones : 0.0332 0.0591 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] dish rack : 0.8238 0.9639 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] broom : 0.0854 0.1057 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] range hood : 0.7844 0.8961 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] dustpan : 0.1193 0.1981 +[2025-03-11 05:32:19,725 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] handicap bar : 0.0556 0.9202 +[2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] vent : 0.0836 0.0883 +[2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] shower floor : 0.8868 0.9895 +[2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] mailbox : 0.3989 0.4094 +[2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] bowl : 0.0698 0.0760 +[2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] paper bag : 0.0667 0.1636 +[2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:32:19,726 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] divider : 0.4000 0.4621 +[2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] bathroom counter: 0.2395 0.2679 +[2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] object : 0.0492 0.0807 +[2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] bathroom vanity: 0.5150 0.7951 +[2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] closet wall : 0.0272 0.0375 +[2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] laundry hamper : 0.0247 0.0269 +[2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] bathroom stall door: 0.5401 0.6985 +[2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] ceiling light : 0.3686 0.4409 +[2025-03-11 05:32:19,727 INFO hook.py line 689 2389709] trash bin : 0.3161 0.4084 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] dumbbell : 0.7435 0.9812 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] stair rail : 0.1119 0.1250 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] tube : 0.0947 0.1074 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] bathroom cabinet: 0.4873 0.5639 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] closet rod : 0.4729 0.8022 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] coffee kettle : 0.3504 0.5746 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] shower head : 0.3159 0.3669 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] case of water bottles: 0.0600 0.0600 +[2025-03-11 05:32:19,728 INFO hook.py line 689 2389709] coat rack : 0.0019 0.0048 +[2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] potted plant : 0.0018 0.0028 +[2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:32:19,729 INFO hook.py line 689 2389709] mattress : 0.0722 0.0723 +[2025-03-11 05:32:19,729 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:32:19,729 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3186/0.4173/0.8207. +[2025-03-11 05:32:19,732 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:32:19,751 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3186 +[2025-03-11 05:32:19,751 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3186 +[2025-03-11 05:32:19,751 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:32:50,292 INFO hook.py line 566 2389709] Train: [77/100][50/300] Data 0.002 (0.002) Batch 0.551 (0.500) Remain 00:59:33 loss: 0.3303 Lr: 7.39101e-04 +[2025-03-11 05:33:14,727 INFO hook.py line 566 2389709] Train: [77/100][100/300] Data 0.002 (0.002) Batch 0.445 (0.494) Remain 00:58:27 loss: 0.4770 Lr: 7.29351e-04 +[2025-03-11 05:33:38,804 INFO hook.py line 566 2389709] Train: [77/100][150/300] Data 0.002 (0.002) Batch 0.456 (0.490) Remain 00:57:33 loss: 0.4580 Lr: 7.19654e-04 +[2025-03-11 05:34:03,581 INFO hook.py line 566 2389709] Train: [77/100][200/300] Data 0.002 (0.002) Batch 0.520 (0.491) Remain 00:57:18 loss: 0.5448 Lr: 7.10011e-04 +[2025-03-11 05:34:28,489 INFO hook.py line 566 2389709] Train: [77/100][250/300] Data 0.002 (0.002) Batch 0.539 (0.493) Remain 00:57:04 loss: 0.4397 Lr: 7.00422e-04 +[2025-03-11 05:34:52,181 INFO hook.py line 566 2389709] Train: [77/100][300/300] Data 0.002 (0.002) Batch 0.490 (0.489) Remain 00:56:17 loss: 0.5960 Lr: 6.90888e-04 +[2025-03-11 05:34:52,182 INFO misc.py line 135 2389709] Train result: loss: 0.4793 +[2025-03-11 05:34:52,300 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:35:48,134 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4416 +[2025-03-11 05:35:48,188 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1979 +[2025-03-11 05:35:48,221 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.3788 +[2025-03-11 05:35:48,275 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4629 +[2025-03-11 05:35:48,317 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9384 +[2025-03-11 05:35:48,374 INFO hook.py line 748 2389709] Test: [6/78] Loss 1.9600 +[2025-03-11 05:35:48,428 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7644 +[2025-03-11 05:35:48,458 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.4759 +[2025-03-11 05:35:48,504 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0828 +[2025-03-11 05:35:48,549 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2682 +[2025-03-11 05:35:48,601 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1171 +[2025-03-11 05:35:48,639 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.8969 +[2025-03-11 05:35:48,691 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.9484 +[2025-03-11 05:35:48,736 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.3620 +[2025-03-11 05:35:48,775 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1285 +[2025-03-11 05:35:48,829 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0722 +[2025-03-11 05:35:48,873 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4650 +[2025-03-11 05:35:48,912 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0845 +[2025-03-11 05:35:48,963 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4139 +[2025-03-11 05:35:49,006 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7592 +[2025-03-11 05:35:49,045 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6057 +[2025-03-11 05:35:49,090 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8164 +[2025-03-11 05:35:49,126 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5603 +[2025-03-11 05:35:49,179 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0363 +[2025-03-11 05:35:49,229 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5031 +[2025-03-11 05:35:49,281 INFO hook.py line 748 2389709] Test: [26/78] Loss 1.8402 +[2025-03-11 05:35:49,338 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8653 +[2025-03-11 05:35:49,378 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7934 +[2025-03-11 05:35:49,415 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9648 +[2025-03-11 05:35:49,478 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4104 +[2025-03-11 05:35:49,538 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4464 +[2025-03-11 05:35:49,577 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4365 +[2025-03-11 05:35:49,639 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8856 +[2025-03-11 05:35:49,683 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3489 +[2025-03-11 05:35:49,724 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1129 +[2025-03-11 05:35:49,767 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.2826 +[2025-03-11 05:35:49,812 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.9306 +[2025-03-11 05:35:49,847 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8661 +[2025-03-11 05:35:49,925 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5623 +[2025-03-11 05:35:49,980 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3097 +[2025-03-11 05:35:50,038 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3590 +[2025-03-11 05:35:50,066 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4325 +[2025-03-11 05:35:50,106 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3116 +[2025-03-11 05:35:50,168 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8252 +[2025-03-11 05:35:50,211 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9786 +[2025-03-11 05:35:50,261 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.0461 +[2025-03-11 05:35:50,303 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0981 +[2025-03-11 05:35:50,338 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0367 +[2025-03-11 05:35:50,373 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.3921 +[2025-03-11 05:35:50,411 INFO hook.py line 748 2389709] Test: [50/78] Loss 2.0242 +[2025-03-11 05:35:50,446 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9554 +[2025-03-11 05:35:50,482 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6600 +[2025-03-11 05:35:50,515 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3032 +[2025-03-11 05:35:50,555 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2509 +[2025-03-11 05:35:50,597 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4313 +[2025-03-11 05:35:50,638 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2324 +[2025-03-11 05:35:50,675 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4203 +[2025-03-11 05:35:50,705 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7821 +[2025-03-11 05:35:50,747 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8100 +[2025-03-11 05:35:50,788 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5486 +[2025-03-11 05:35:50,818 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8005 +[2025-03-11 05:35:50,858 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1925 +[2025-03-11 05:35:50,895 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3953 +[2025-03-11 05:35:50,951 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.7506 +[2025-03-11 05:35:50,983 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4353 +[2025-03-11 05:35:51,030 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2319 +[2025-03-11 05:35:51,069 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9416 +[2025-03-11 05:35:51,110 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.4418 +[2025-03-11 05:35:51,145 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4135 +[2025-03-11 05:35:51,209 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0817 +[2025-03-11 05:35:51,252 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9819 +[2025-03-11 05:35:51,310 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.2039 +[2025-03-11 05:35:51,367 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7525 +[2025-03-11 05:35:51,415 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7573 +[2025-03-11 05:35:51,470 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6320 +[2025-03-11 05:35:51,503 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9637 +[2025-03-11 05:35:51,565 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5540 +[2025-03-11 05:35:51,593 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.0447 +[2025-03-11 05:35:52,821 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:35:52,821 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:35:52,821 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:35:52,821 INFO hook.py line 689 2389709] wall : 0.7961 0.9251 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] chair : 0.7346 0.8839 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] floor : 0.9609 0.9809 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] table : 0.6196 0.7928 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] door : 0.6651 0.8125 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] couch : 0.8096 0.9167 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] cabinet : 0.3835 0.6028 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] shelf : 0.3770 0.4923 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] desk : 0.5592 0.7088 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] office chair : 0.1328 0.1798 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] bed : 0.8112 0.8948 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] pillow : 0.5706 0.7792 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] sink : 0.6693 0.7856 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] picture : 0.3521 0.4553 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] window : 0.5929 0.7372 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] toilet : 0.9384 0.9724 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] bookshelf : 0.4744 0.6301 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] monitor : 0.8364 0.9195 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] curtain : 0.7163 0.8621 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] book : 0.4530 0.7668 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] armchair : 0.5284 0.7109 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] coffee table : 0.5954 0.7264 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] box : 0.2800 0.3924 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] refrigerator : 0.6703 0.7405 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] lamp : 0.6687 0.8019 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] kitchen cabinet: 0.6456 0.7483 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] towel : 0.4771 0.6538 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] clothes : 0.2118 0.3938 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] tv : 0.8262 0.9374 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] nightstand : 0.6905 0.8704 +[2025-03-11 05:35:52,822 INFO hook.py line 689 2389709] counter : 0.2910 0.5951 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] dresser : 0.4319 0.5765 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] stool : 0.5512 0.7971 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] plant : 0.7828 0.8890 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] ceiling : 0.9225 0.9602 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] bathtub : 0.8901 0.9203 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] end table : 0.2050 0.2862 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] dining table : 0.0383 0.0557 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] keyboard : 0.4280 0.5827 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] bag : 0.1392 0.1848 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] backpack : 0.6186 0.7043 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] toilet paper : 0.4954 0.5646 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] printer : 0.4861 0.6571 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] tv stand : 0.6517 0.8922 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] whiteboard : 0.4914 0.6791 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] blanket : 0.0316 0.0398 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] shower curtain : 0.6800 0.7627 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] trash can : 0.5939 0.8494 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] closet : 0.1003 0.1405 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] stairs : 0.5176 0.6694 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] microwave : 0.5664 0.7353 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] stove : 0.6361 0.7970 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] shoe : 0.4596 0.5542 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] computer tower : 0.5404 0.7913 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] bottle : 0.1047 0.2125 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] bin : 0.0004 0.0005 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] ottoman : 0.4187 0.4823 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] bench : 0.4852 0.5632 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] board : 0.1926 0.3004 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] washing machine: 0.8557 0.9341 +[2025-03-11 05:35:52,823 INFO hook.py line 689 2389709] mirror : 0.3820 0.4465 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] copier : 0.8385 0.9495 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] sofa chair : 0.1221 0.1859 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] file cabinet : 0.4894 0.6031 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] fan : 0.3157 0.4374 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] laptop : 0.5284 0.7313 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] shower : 0.2723 0.2886 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] paper : 0.0376 0.0544 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] person : 0.2791 0.5742 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] paper towel dispenser: 0.5172 0.7499 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] oven : 0.1563 0.2072 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] plate : 0.0160 0.0231 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] blackboard : 0.5967 0.6477 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] piano : 0.4475 0.9038 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] suitcase : 0.6149 0.8183 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] rail : 0.0408 0.0456 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] radiator : 0.6525 0.7170 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] recycling bin : 0.4483 0.6416 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] container : 0.0196 0.0335 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] wardrobe : 0.1760 0.2510 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] soap dispenser : 0.8208 0.9154 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] telephone : 0.2880 0.3609 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] bucket : 0.1753 0.2339 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] clock : 0.2429 0.2826 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] stand : 0.0004 0.0019 +[2025-03-11 05:35:52,825 INFO hook.py line 689 2389709] light : 0.0356 0.0372 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] laundry basket : 0.0125 0.0136 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] pipe : 0.0423 0.0744 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] clothes dryer : 0.6293 0.6537 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] guitar : 0.6826 0.8752 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] toilet paper holder: 0.0761 0.2808 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] seat : 0.0002 0.0003 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] ladder : 0.5731 0.6399 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] bathroom stall : 0.4481 0.5236 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] shower wall : 0.4825 0.6632 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] cup : 0.1777 0.3084 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] jacket : 0.1728 0.2203 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] storage bin : 0.0348 0.0531 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] coffee maker : 0.5497 0.9647 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] dishwasher : 0.3349 0.4308 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] paper towel roll: 0.2803 0.3011 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] mat : 0.3065 0.3223 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] windowsill : 0.1419 0.1623 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] bar : 0.1737 0.2698 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] toaster : 0.3971 0.6266 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] bulletin board : 0.2585 0.4814 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] ironing board : 0.0991 0.1172 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] fireplace : 0.6157 0.6809 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] soap dish : 0.3330 0.4509 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] kitchen counter: 0.3664 0.4147 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] doorframe : 0.4262 0.7222 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4474 0.6308 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] mini fridge : 0.3562 0.4043 +[2025-03-11 05:35:52,826 INFO hook.py line 689 2389709] fire extinguisher: 0.2945 0.3791 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] ball : 0.5769 0.6864 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] shower curtain rod: 0.3528 0.9039 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] water cooler : 0.5498 0.7181 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] paper cutter : 0.2317 0.2707 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] tray : 0.0740 0.1016 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] shower door : 0.2106 0.2547 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] pillar : 0.0189 0.0192 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] ledge : 0.0406 0.0489 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] mouse : 0.0660 0.5526 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7646 0.8947 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] cart : 0.1480 0.1549 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] scale : 0.6152 0.9625 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] tissue box : 0.1512 0.1776 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] light switch : 0.0312 0.0520 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] power outlet : 0.2461 0.3801 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] decoration : 0.2224 0.3300 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] sign : 0.0531 0.0650 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] projector : 0.0914 1.0000 +[2025-03-11 05:35:52,827 INFO hook.py line 689 2389709] closet door : 0.0591 0.0670 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] vacuum cleaner : 0.8782 0.9765 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] plunger : 0.4019 0.9803 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] headphones : 0.0437 0.0691 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] dish rack : 0.9014 0.9746 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] broom : 0.0462 0.0565 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] range hood : 0.7706 0.8849 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] dustpan : 0.1035 0.2648 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] handicap bar : 0.0579 0.9595 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] vent : 0.1077 0.1543 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] shower floor : 0.8345 0.9878 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] mailbox : 0.4611 0.4806 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] bowl : 0.0762 0.0903 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] paper bag : 0.0734 0.1049 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] divider : 0.4921 0.5916 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] bathroom counter: 0.2438 0.2724 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] object : 0.0525 0.0947 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] bathroom vanity: 0.4836 0.8025 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] closet wall : 0.0234 0.0317 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] laundry hamper : 0.0644 0.0785 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] bathroom stall door: 0.5755 0.6902 +[2025-03-11 05:35:52,828 INFO hook.py line 689 2389709] ceiling light : 0.4252 0.6898 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] trash bin : 0.2680 0.3550 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] dumbbell : 0.8997 0.9812 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] stair rail : 0.1395 0.1526 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] tube : 0.0953 0.1675 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] bathroom cabinet: 0.1506 0.2038 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] closet rod : 0.5385 0.7473 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] coffee kettle : 0.3537 0.5082 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] shower head : 0.3131 0.3989 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] case of water bottles: 0.0423 0.0423 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] fire alarm : 0.0514 0.4222 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] poster : 0.0164 0.0177 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:35:52,829 INFO hook.py line 689 2389709] mattress : 0.0746 0.0746 +[2025-03-11 05:35:52,829 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:35:52,829 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3172/0.4200/0.8230. +[2025-03-11 05:35:52,830 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:35:52,834 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3186 +[2025-03-11 05:35:52,835 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:36:22,337 INFO hook.py line 566 2389709] Train: [78/100][50/300] Data 0.002 (0.003) Batch 0.499 (0.494) Remain 00:56:20 loss: 0.3365 Lr: 6.81410e-04 +[2025-03-11 05:36:47,403 INFO hook.py line 566 2389709] Train: [78/100][100/300] Data 0.004 (0.002) Batch 0.445 (0.498) Remain 00:56:23 loss: 0.2997 Lr: 6.71986e-04 +[2025-03-11 05:37:12,733 INFO hook.py line 566 2389709] Train: [78/100][150/300] Data 0.003 (0.002) Batch 0.499 (0.501) Remain 00:56:19 loss: 0.2892 Lr: 6.62618e-04 +[2025-03-11 05:37:37,267 INFO hook.py line 566 2389709] Train: [78/100][200/300] Data 0.002 (0.002) Batch 0.479 (0.498) Remain 00:55:37 loss: 0.4657 Lr: 6.53306e-04 +[2025-03-11 05:38:01,360 INFO hook.py line 566 2389709] Train: [78/100][250/300] Data 0.002 (0.002) Batch 0.498 (0.495) Remain 00:54:50 loss: 0.3124 Lr: 6.44049e-04 +[2025-03-11 05:38:25,310 INFO hook.py line 566 2389709] Train: [78/100][300/300] Data 0.002 (0.002) Batch 0.511 (0.492) Remain 00:54:08 loss: 0.4940 Lr: 6.34850e-04 +[2025-03-11 05:38:25,311 INFO misc.py line 135 2389709] Train result: loss: 0.4813 +[2025-03-11 05:38:25,425 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:39:13,862 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3483 +[2025-03-11 05:39:13,969 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.6479 +[2025-03-11 05:39:14,006 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.3607 +[2025-03-11 05:39:14,057 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4467 +[2025-03-11 05:39:14,094 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.7925 +[2025-03-11 05:39:14,166 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3611 +[2025-03-11 05:39:14,221 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8397 +[2025-03-11 05:39:14,250 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3822 +[2025-03-11 05:39:14,301 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.0844 +[2025-03-11 05:39:14,344 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1282 +[2025-03-11 05:39:14,398 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3025 +[2025-03-11 05:39:14,432 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0001 +[2025-03-11 05:39:14,488 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.5885 +[2025-03-11 05:39:14,531 INFO hook.py line 748 2389709] Test: [14/78] Loss 5.1236 +[2025-03-11 05:39:14,571 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2952 +[2025-03-11 05:39:14,619 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0674 +[2025-03-11 05:39:14,656 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.2731 +[2025-03-11 05:39:14,693 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0775 +[2025-03-11 05:39:14,736 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2027 +[2025-03-11 05:39:14,772 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7634 +[2025-03-11 05:39:14,814 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6296 +[2025-03-11 05:39:14,854 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8850 +[2025-03-11 05:39:14,884 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.6658 +[2025-03-11 05:39:14,943 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2916 +[2025-03-11 05:39:14,988 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3983 +[2025-03-11 05:39:15,030 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.1159 +[2025-03-11 05:39:15,087 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9450 +[2025-03-11 05:39:15,135 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7521 +[2025-03-11 05:39:15,174 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1599 +[2025-03-11 05:39:15,233 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.0535 +[2025-03-11 05:39:15,291 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5955 +[2025-03-11 05:39:15,334 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3288 +[2025-03-11 05:39:15,396 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8017 +[2025-03-11 05:39:15,434 INFO hook.py line 748 2389709] Test: [34/78] Loss 2.0340 +[2025-03-11 05:39:15,471 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.5050 +[2025-03-11 05:39:15,514 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4252 +[2025-03-11 05:39:15,555 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5740 +[2025-03-11 05:39:15,593 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9603 +[2025-03-11 05:39:15,661 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.5877 +[2025-03-11 05:39:15,712 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.7915 +[2025-03-11 05:39:15,760 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3918 +[2025-03-11 05:39:15,794 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.5489 +[2025-03-11 05:39:15,834 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0908 +[2025-03-11 05:39:15,899 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8809 +[2025-03-11 05:39:15,934 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4654 +[2025-03-11 05:39:15,987 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1249 +[2025-03-11 05:39:16,028 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7036 +[2025-03-11 05:39:16,066 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0171 +[2025-03-11 05:39:16,100 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9056 +[2025-03-11 05:39:16,133 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.9487 +[2025-03-11 05:39:16,165 INFO hook.py line 748 2389709] Test: [51/78] Loss 0.9792 +[2025-03-11 05:39:16,205 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5257 +[2025-03-11 05:39:16,232 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3687 +[2025-03-11 05:39:16,271 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.7727 +[2025-03-11 05:39:16,310 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5267 +[2025-03-11 05:39:16,354 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.2314 +[2025-03-11 05:39:16,392 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2978 +[2025-03-11 05:39:16,421 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7806 +[2025-03-11 05:39:16,463 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8965 +[2025-03-11 05:39:16,499 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4426 +[2025-03-11 05:39:16,527 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7306 +[2025-03-11 05:39:16,564 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9334 +[2025-03-11 05:39:16,606 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0077 +[2025-03-11 05:39:16,666 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8239 +[2025-03-11 05:39:16,695 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4216 +[2025-03-11 05:39:16,738 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.4186 +[2025-03-11 05:39:16,781 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9370 +[2025-03-11 05:39:16,818 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.3570 +[2025-03-11 05:39:16,849 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4054 +[2025-03-11 05:39:16,909 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9163 +[2025-03-11 05:39:16,956 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0733 +[2025-03-11 05:39:17,011 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9629 +[2025-03-11 05:39:17,065 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7569 +[2025-03-11 05:39:17,108 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.9455 +[2025-03-11 05:39:17,160 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5935 +[2025-03-11 05:39:17,190 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0271 +[2025-03-11 05:39:17,249 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7629 +[2025-03-11 05:39:17,280 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2118 +[2025-03-11 05:39:18,561 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:39:18,561 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:39:18,561 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] wall : 0.7940 0.9296 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] chair : 0.7422 0.8663 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] floor : 0.9571 0.9827 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] table : 0.6458 0.8033 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] door : 0.6750 0.8115 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] couch : 0.8032 0.9113 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] cabinet : 0.3689 0.5599 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] shelf : 0.3824 0.5338 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] desk : 0.5545 0.7021 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] office chair : 0.2054 0.2892 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] bed : 0.7892 0.8933 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] pillow : 0.5716 0.7721 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] sink : 0.6710 0.7803 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] picture : 0.3601 0.5022 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] window : 0.5830 0.7007 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] toilet : 0.9347 0.9698 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] bookshelf : 0.4574 0.6114 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] monitor : 0.8531 0.9174 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] curtain : 0.7336 0.8683 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] book : 0.4418 0.7792 +[2025-03-11 05:39:18,561 INFO hook.py line 689 2389709] armchair : 0.5348 0.7732 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] coffee table : 0.6295 0.7571 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] box : 0.2915 0.3915 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] refrigerator : 0.6694 0.7828 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] lamp : 0.6708 0.8251 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] kitchen cabinet: 0.6633 0.7726 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] towel : 0.5239 0.6941 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] clothes : 0.2017 0.3842 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] tv : 0.8641 0.9192 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] nightstand : 0.6776 0.8871 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] counter : 0.2781 0.4182 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] dresser : 0.3630 0.4789 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] stool : 0.6139 0.7615 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] plant : 0.7990 0.8583 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] ceiling : 0.9289 0.9605 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] bathtub : 0.8660 0.9324 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] end table : 0.2834 0.3977 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] dining table : 0.1055 0.1387 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] keyboard : 0.4368 0.5908 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] bag : 0.1920 0.2554 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] backpack : 0.6403 0.7451 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] toilet paper : 0.4610 0.5515 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] printer : 0.3713 0.6555 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] tv stand : 0.3659 0.4158 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] whiteboard : 0.5321 0.7246 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] blanket : 0.0119 0.0147 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] shower curtain : 0.7014 0.7861 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] trash can : 0.6203 0.8404 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] closet : 0.1058 0.1560 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] stairs : 0.4907 0.6889 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] microwave : 0.5847 0.8047 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] stove : 0.6035 0.8276 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] shoe : 0.5110 0.8057 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] computer tower : 0.5495 0.7798 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] bottle : 0.1402 0.2396 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] bin : 0.0043 0.0078 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] ottoman : 0.3647 0.4289 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] bench : 0.3725 0.4085 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] board : 0.1914 0.2504 +[2025-03-11 05:39:18,562 INFO hook.py line 689 2389709] washing machine: 0.8983 0.9382 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] mirror : 0.4215 0.4923 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] copier : 0.7707 0.9588 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] sofa chair : 0.1997 0.3262 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] file cabinet : 0.4532 0.5112 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] fan : 0.3206 0.3999 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] laptop : 0.4895 0.7630 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] shower : 0.1621 0.1652 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] paper : 0.0503 0.0781 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] person : 0.4031 0.6451 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] paper towel dispenser: 0.5143 0.7719 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] oven : 0.0002 0.0003 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] plate : 0.0504 0.1906 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] blackboard : 0.5706 0.6437 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] piano : 0.5238 0.7232 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] suitcase : 0.6119 0.8300 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] rail : 0.0202 0.0218 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] radiator : 0.6573 0.7276 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] recycling bin : 0.5095 0.6735 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] container : 0.0431 0.0920 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] wardrobe : 0.1832 0.2753 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] soap dispenser : 0.8127 0.9045 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] telephone : 0.2831 0.3629 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] bucket : 0.2610 0.3928 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] clock : 0.2249 0.2783 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] light : 0.0244 0.0267 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] laundry basket : 0.1043 0.1499 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] pipe : 0.0366 0.0439 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] clothes dryer : 0.7046 0.7184 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] guitar : 0.5542 0.5921 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] toilet paper holder: 0.0182 0.0817 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] column : 0.1258 0.2025 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] ladder : 0.4050 0.4125 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] bathroom stall : 0.4982 0.6239 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] shower wall : 0.4469 0.5985 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] cup : 0.1950 0.2603 +[2025-03-11 05:39:18,563 INFO hook.py line 689 2389709] jacket : 0.1907 0.2524 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] storage bin : 0.0020 0.0026 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] coffee maker : 0.6739 0.9909 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] dishwasher : 0.4500 0.6662 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] paper towel roll: 0.3354 0.3890 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] mat : 0.3036 0.3478 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] windowsill : 0.1845 0.2035 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] bar : 0.1765 0.2933 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] toaster : 0.4338 0.6964 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] bulletin board : 0.2872 0.3972 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] ironing board : 0.2084 0.2323 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] fireplace : 0.4569 0.4745 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] soap dish : 0.3365 0.4733 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] kitchen counter: 0.5971 0.7781 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] doorframe : 0.4477 0.6683 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4370 0.5487 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] mini fridge : 0.3894 0.4844 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] fire extinguisher: 0.2082 0.2349 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] ball : 0.6382 0.8056 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] shower curtain rod: 0.3922 0.9233 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] water cooler : 0.7707 0.8009 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] paper cutter : 0.2587 0.3235 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] tray : 0.0439 0.0765 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] shower door : 0.1832 0.2972 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] ledge : 0.0609 0.0861 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] mouse : 0.0635 0.5000 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7327 0.8889 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] cart : 0.1595 0.1953 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] scale : 0.4009 0.9379 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] tissue box : 0.2033 0.2297 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] light switch : 0.0349 0.0997 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] power outlet : 0.2742 0.4685 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] decoration : 0.1723 0.2170 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] projector : 0.0727 1.0000 +[2025-03-11 05:39:18,564 INFO hook.py line 689 2389709] closet door : 0.0323 0.0337 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] vacuum cleaner : 0.9410 0.9799 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] plunger : 0.5000 0.9873 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] dish rack : 0.7073 0.9664 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] broom : 0.0747 0.1206 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] range hood : 0.7621 0.8715 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] dustpan : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] handicap bar : 0.0547 0.9322 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] vent : 0.0632 0.0709 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] shower floor : 0.9205 0.9900 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] mailbox : 0.3136 0.3156 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] bowl : 0.2437 0.3281 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] paper bag : 0.0811 0.1387 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] divider : 0.4460 0.5285 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] bathroom counter: 0.2474 0.3077 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] object : 0.0297 0.0436 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] bathroom vanity: 0.5064 0.8665 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] closet wall : 0.0188 0.0297 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] laundry hamper : 0.0006 0.0007 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] bathroom stall door: 0.6293 0.8066 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] ceiling light : 0.3095 0.3715 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] trash bin : 0.2821 0.3783 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] dumbbell : 0.7893 0.9780 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] stair rail : 0.0889 0.0978 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] tube : 0.0438 0.0467 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] bathroom cabinet: 0.1355 0.1615 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] closet rod : 0.5491 0.8323 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] coffee kettle : 0.4294 0.4551 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] shower head : 0.2998 0.3749 +[2025-03-11 05:39:18,565 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] case of water bottles: 0.1300 0.1336 +[2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] fire alarm : 0.1292 0.9333 +[2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:39:18,566 INFO hook.py line 689 2389709] mattress : 0.0983 0.1000 +[2025-03-11 05:39:18,566 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:39:18,566 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3186/0.4217/0.8243. +[2025-03-11 05:39:18,566 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:39:18,579 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3186 +[2025-03-11 05:39:18,579 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:39:48,569 INFO hook.py line 566 2389709] Train: [79/100][50/300] Data 0.002 (0.003) Batch 0.509 (0.491) Remain 00:53:37 loss: 0.5680 Lr: 6.25707e-04 +[2025-03-11 05:40:13,110 INFO hook.py line 566 2389709] Train: [79/100][100/300] Data 0.004 (0.003) Batch 0.521 (0.491) Remain 00:53:11 loss: 0.4729 Lr: 6.16620e-04 +[2025-03-11 05:40:38,010 INFO hook.py line 566 2389709] Train: [79/100][150/300] Data 0.004 (0.003) Batch 0.462 (0.493) Remain 00:53:02 loss: 0.3891 Lr: 6.07592e-04 +[2025-03-11 05:41:02,744 INFO hook.py line 566 2389709] Train: [79/100][200/300] Data 0.003 (0.003) Batch 0.483 (0.494) Remain 00:52:39 loss: 0.6862 Lr: 5.98620e-04 +[2025-03-11 05:41:27,741 INFO hook.py line 566 2389709] Train: [79/100][250/300] Data 0.003 (0.003) Batch 0.515 (0.495) Remain 00:52:23 loss: 0.5118 Lr: 5.89706e-04 +[2025-03-11 05:41:51,175 INFO hook.py line 566 2389709] Train: [79/100][300/300] Data 0.001 (0.003) Batch 0.488 (0.491) Remain 00:51:30 loss: 0.3567 Lr: 5.80851e-04 +[2025-03-11 05:41:51,176 INFO misc.py line 135 2389709] Train result: loss: 0.4693 +[2025-03-11 05:41:51,267 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:42:45,721 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3048 +[2025-03-11 05:42:45,767 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2919 +[2025-03-11 05:42:45,811 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4095 +[2025-03-11 05:42:45,862 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3968 +[2025-03-11 05:42:45,896 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8037 +[2025-03-11 05:42:45,952 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0918 +[2025-03-11 05:42:46,011 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8837 +[2025-03-11 05:42:46,038 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3836 +[2025-03-11 05:42:46,083 INFO hook.py line 748 2389709] Test: [9/78] Loss 0.9518 +[2025-03-11 05:42:46,120 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.4995 +[2025-03-11 05:42:46,177 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2937 +[2025-03-11 05:42:46,210 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2653 +[2025-03-11 05:42:46,259 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.4836 +[2025-03-11 05:42:46,299 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5945 +[2025-03-11 05:42:46,341 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.4787 +[2025-03-11 05:42:46,387 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0972 +[2025-03-11 05:42:46,426 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3978 +[2025-03-11 05:42:46,469 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0782 +[2025-03-11 05:42:46,515 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5585 +[2025-03-11 05:42:46,550 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7378 +[2025-03-11 05:42:46,586 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6351 +[2025-03-11 05:42:46,632 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8649 +[2025-03-11 05:42:46,663 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5742 +[2025-03-11 05:42:46,716 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9508 +[2025-03-11 05:42:46,757 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4749 +[2025-03-11 05:42:46,800 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5216 +[2025-03-11 05:42:46,854 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8428 +[2025-03-11 05:42:46,896 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7020 +[2025-03-11 05:42:46,927 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0564 +[2025-03-11 05:42:46,987 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2600 +[2025-03-11 05:42:47,052 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4989 +[2025-03-11 05:42:47,090 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4466 +[2025-03-11 05:42:47,149 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8355 +[2025-03-11 05:42:47,187 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6538 +[2025-03-11 05:42:47,224 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2311 +[2025-03-11 05:42:47,269 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4907 +[2025-03-11 05:42:47,307 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.5875 +[2025-03-11 05:42:47,338 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8489 +[2025-03-11 05:42:47,411 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0586 +[2025-03-11 05:42:47,458 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5169 +[2025-03-11 05:42:47,503 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3317 +[2025-03-11 05:42:47,543 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4296 +[2025-03-11 05:42:47,580 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0553 +[2025-03-11 05:42:47,641 INFO hook.py line 748 2389709] Test: [44/78] Loss 1.0547 +[2025-03-11 05:42:47,675 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.0070 +[2025-03-11 05:42:47,723 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1199 +[2025-03-11 05:42:47,763 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7797 +[2025-03-11 05:42:47,798 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0100 +[2025-03-11 05:42:47,830 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.6540 +[2025-03-11 05:42:47,863 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.3450 +[2025-03-11 05:42:47,894 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.5050 +[2025-03-11 05:42:47,930 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6776 +[2025-03-11 05:42:47,957 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3084 +[2025-03-11 05:42:47,996 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2540 +[2025-03-11 05:42:48,034 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4950 +[2025-03-11 05:42:48,079 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0651 +[2025-03-11 05:42:48,112 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4322 +[2025-03-11 05:42:48,140 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7363 +[2025-03-11 05:42:48,179 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8757 +[2025-03-11 05:42:48,216 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5020 +[2025-03-11 05:42:48,243 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7188 +[2025-03-11 05:42:48,279 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9975 +[2025-03-11 05:42:48,316 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3068 +[2025-03-11 05:42:48,376 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8455 +[2025-03-11 05:42:48,404 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3063 +[2025-03-11 05:42:48,448 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.4015 +[2025-03-11 05:42:48,488 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8719 +[2025-03-11 05:42:48,524 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9128 +[2025-03-11 05:42:48,554 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4033 +[2025-03-11 05:42:48,615 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8526 +[2025-03-11 05:42:48,662 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6618 +[2025-03-11 05:42:48,717 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9937 +[2025-03-11 05:42:48,772 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7239 +[2025-03-11 05:42:48,815 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6948 +[2025-03-11 05:42:48,867 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5503 +[2025-03-11 05:42:48,895 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8513 +[2025-03-11 05:42:48,954 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7955 +[2025-03-11 05:42:48,981 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.4464 +[2025-03-11 05:42:50,586 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:42:50,589 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:42:50,590 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] wall : 0.7959 0.9306 +[2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] chair : 0.7380 0.8805 +[2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] floor : 0.9609 0.9822 +[2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] table : 0.6347 0.7721 +[2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] door : 0.6668 0.8091 +[2025-03-11 05:42:50,590 INFO hook.py line 689 2389709] couch : 0.7900 0.9144 +[2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] cabinet : 0.3714 0.5733 +[2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] shelf : 0.4158 0.5626 +[2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] desk : 0.5545 0.7955 +[2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] office chair : 0.1804 0.2467 +[2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] bed : 0.7908 0.8851 +[2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] pillow : 0.5358 0.7631 +[2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] sink : 0.6655 0.7738 +[2025-03-11 05:42:50,591 INFO hook.py line 689 2389709] picture : 0.3967 0.4907 +[2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] window : 0.6084 0.7607 +[2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] toilet : 0.9406 0.9620 +[2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] bookshelf : 0.4924 0.6571 +[2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] monitor : 0.8669 0.9195 +[2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] curtain : 0.7293 0.8340 +[2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] book : 0.4648 0.7217 +[2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] armchair : 0.5399 0.6992 +[2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] coffee table : 0.6307 0.7318 +[2025-03-11 05:42:50,592 INFO hook.py line 689 2389709] box : 0.2743 0.3479 +[2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] refrigerator : 0.6523 0.7369 +[2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] lamp : 0.7046 0.8293 +[2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] kitchen cabinet: 0.6235 0.6997 +[2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] towel : 0.5577 0.7225 +[2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] clothes : 0.1991 0.3461 +[2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] tv : 0.9052 0.9437 +[2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] nightstand : 0.6856 0.8608 +[2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] counter : 0.2826 0.4540 +[2025-03-11 05:42:50,593 INFO hook.py line 689 2389709] dresser : 0.4392 0.6408 +[2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] stool : 0.5777 0.7412 +[2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] plant : 0.7508 0.8990 +[2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] ceiling : 0.9221 0.9560 +[2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] bathtub : 0.8807 0.9153 +[2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] end table : 0.2524 0.4205 +[2025-03-11 05:42:50,594 INFO hook.py line 689 2389709] dining table : 0.0373 0.0638 +[2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] keyboard : 0.4325 0.5686 +[2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] bag : 0.2554 0.4275 +[2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] backpack : 0.6217 0.7136 +[2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] toilet paper : 0.5089 0.5985 +[2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] printer : 0.4887 0.6626 +[2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] tv stand : 0.5134 0.9038 +[2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] whiteboard : 0.5108 0.6475 +[2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] blanket : 0.0489 0.0694 +[2025-03-11 05:42:50,595 INFO hook.py line 689 2389709] shower curtain : 0.7005 0.7727 +[2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] trash can : 0.6181 0.8349 +[2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] closet : 0.1004 0.1530 +[2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] stairs : 0.4596 0.6693 +[2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] microwave : 0.5422 0.7706 +[2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] stove : 0.6158 0.8230 +[2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] shoe : 0.5308 0.6405 +[2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] computer tower : 0.5287 0.8357 +[2025-03-11 05:42:50,596 INFO hook.py line 689 2389709] bottle : 0.0913 0.2087 +[2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] ottoman : 0.4261 0.4612 +[2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] bench : 0.2838 0.3411 +[2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] board : 0.1602 0.3038 +[2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] washing machine: 0.8841 0.9382 +[2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] mirror : 0.4136 0.4988 +[2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] copier : 0.8785 0.9528 +[2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:42:50,597 INFO hook.py line 689 2389709] sofa chair : 0.1569 0.2282 +[2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] file cabinet : 0.4309 0.5687 +[2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] fan : 0.4142 0.4292 +[2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] laptop : 0.5001 0.7380 +[2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] shower : 0.3045 0.3260 +[2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] paper : 0.0448 0.0660 +[2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] person : 0.2713 0.6039 +[2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] paper towel dispenser: 0.5214 0.6967 +[2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] oven : 0.1263 0.1435 +[2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] blinds : 0.0042 0.0045 +[2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:42:50,598 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] blackboard : 0.5806 0.6406 +[2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] piano : 0.4153 0.6401 +[2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] suitcase : 0.6423 0.7388 +[2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] rail : 0.0369 0.0398 +[2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] radiator : 0.6272 0.6915 +[2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] recycling bin : 0.4934 0.6564 +[2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] container : 0.0330 0.0453 +[2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] wardrobe : 0.0883 0.1162 +[2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] soap dispenser : 0.8153 0.9054 +[2025-03-11 05:42:50,599 INFO hook.py line 689 2389709] telephone : 0.3233 0.5104 +[2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] bucket : 0.3651 0.6158 +[2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] clock : 0.2644 0.3072 +[2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] light : 0.0498 0.0643 +[2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] laundry basket : 0.0322 0.0366 +[2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] pipe : 0.0921 0.1314 +[2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] clothes dryer : 0.6022 0.6129 +[2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] guitar : 0.7508 0.8134 +[2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] toilet paper holder: 0.0227 0.1240 +[2025-03-11 05:42:50,600 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] column : 0.0265 0.0352 +[2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] ladder : 0.5996 0.6393 +[2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] bathroom stall : 0.4710 0.5439 +[2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] shower wall : 0.4544 0.6060 +[2025-03-11 05:42:50,601 INFO hook.py line 689 2389709] cup : 0.1763 0.2710 +[2025-03-11 05:42:50,602 INFO hook.py line 689 2389709] jacket : 0.2353 0.3230 +[2025-03-11 05:42:50,602 INFO hook.py line 689 2389709] storage bin : 0.0186 0.0234 +[2025-03-11 05:42:50,602 INFO hook.py line 689 2389709] coffee maker : 0.8426 0.9883 +[2025-03-11 05:42:50,603 INFO hook.py line 689 2389709] dishwasher : 0.2973 0.3758 +[2025-03-11 05:42:50,603 INFO hook.py line 689 2389709] paper towel roll: 0.3170 0.3436 +[2025-03-11 05:42:50,603 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:42:50,603 INFO hook.py line 689 2389709] mat : 0.2991 0.3220 +[2025-03-11 05:42:50,604 INFO hook.py line 689 2389709] windowsill : 0.1001 0.1042 +[2025-03-11 05:42:50,604 INFO hook.py line 689 2389709] bar : 0.1426 0.1980 +[2025-03-11 05:42:50,605 INFO hook.py line 689 2389709] toaster : 0.1453 0.4472 +[2025-03-11 05:42:50,605 INFO hook.py line 689 2389709] bulletin board : 0.2973 0.4201 +[2025-03-11 05:42:50,605 INFO hook.py line 689 2389709] ironing board : 0.0975 0.1102 +[2025-03-11 05:42:50,606 INFO hook.py line 689 2389709] fireplace : 0.4859 0.5069 +[2025-03-11 05:42:50,606 INFO hook.py line 689 2389709] soap dish : 0.3847 0.5474 +[2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] kitchen counter: 0.5211 0.6081 +[2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] doorframe : 0.4151 0.6742 +[2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4075 0.5403 +[2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] mini fridge : 0.2891 0.3100 +[2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] fire extinguisher: 0.2558 0.3326 +[2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] ball : 0.4784 0.9601 +[2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] shower curtain rod: 0.4387 0.9197 +[2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] water cooler : 0.6703 0.9483 +[2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] paper cutter : 0.2938 0.3537 +[2025-03-11 05:42:50,607 INFO hook.py line 689 2389709] tray : 0.1081 0.1614 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] shower door : 0.2551 0.3129 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] ledge : 0.0474 0.0689 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] mouse : 0.0697 0.7434 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6914 0.7909 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] cart : 0.1757 0.2233 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] scale : 0.3380 0.9458 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] tissue box : 0.2335 0.3279 +[2025-03-11 05:42:50,608 INFO hook.py line 689 2389709] light switch : 0.0272 0.0701 +[2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] power outlet : 0.2165 0.3287 +[2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] decoration : 0.3800 0.6577 +[2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] projector : 0.0917 1.0000 +[2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] closet door : 0.1308 0.1706 +[2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] vacuum cleaner : 0.8762 0.9783 +[2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] plunger : 0.7032 0.9747 +[2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:42:50,609 INFO hook.py line 689 2389709] headphones : 0.0233 0.0346 +[2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] dish rack : 0.7672 0.9790 +[2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] broom : 0.0513 0.0865 +[2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] range hood : 0.7603 0.9064 +[2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] dustpan : 0.1215 0.3586 +[2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] handicap bar : 0.0619 0.9273 +[2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] vent : 0.0014 0.0019 +[2025-03-11 05:42:50,610 INFO hook.py line 689 2389709] shower floor : 0.8936 0.9928 +[2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] mailbox : 0.4292 0.4441 +[2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] bowl : 0.0895 0.1386 +[2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] paper bag : 0.0804 0.1396 +[2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] divider : 0.4172 0.4496 +[2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] bathroom counter: 0.2440 0.2690 +[2025-03-11 05:42:50,611 INFO hook.py line 689 2389709] object : 0.0271 0.0430 +[2025-03-11 05:42:50,612 INFO hook.py line 689 2389709] bathroom vanity: 0.5555 0.7758 +[2025-03-11 05:42:50,612 INFO hook.py line 689 2389709] closet wall : 0.0217 0.0291 +[2025-03-11 05:42:50,612 INFO hook.py line 689 2389709] laundry hamper : 0.0004 0.0005 +[2025-03-11 05:42:50,613 INFO hook.py line 689 2389709] bathroom stall door: 0.5753 0.6816 +[2025-03-11 05:42:50,613 INFO hook.py line 689 2389709] ceiling light : 0.4268 0.5152 +[2025-03-11 05:42:50,613 INFO hook.py line 689 2389709] trash bin : 0.2409 0.3229 +[2025-03-11 05:42:50,614 INFO hook.py line 689 2389709] dumbbell : 0.6760 0.9783 +[2025-03-11 05:42:50,614 INFO hook.py line 689 2389709] stair rail : 0.0872 0.0969 +[2025-03-11 05:42:50,614 INFO hook.py line 689 2389709] tube : 0.1291 0.1599 +[2025-03-11 05:42:50,614 INFO hook.py line 689 2389709] bathroom cabinet: 0.5541 0.8782 +[2025-03-11 05:42:50,614 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:42:50,615 INFO hook.py line 689 2389709] closet rod : 0.5677 0.8632 +[2025-03-11 05:42:50,615 INFO hook.py line 689 2389709] coffee kettle : 0.2910 0.3854 +[2025-03-11 05:42:50,615 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:42:50,615 INFO hook.py line 689 2389709] shower head : 0.3590 0.4177 +[2025-03-11 05:42:50,615 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:42:50,616 INFO hook.py line 689 2389709] case of water bottles: 0.1368 0.1442 +[2025-03-11 05:42:50,616 INFO hook.py line 689 2389709] coat rack : 0.0000 0.0000 +[2025-03-11 05:42:50,616 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:42:50,617 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:42:50,617 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 05:42:50,617 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:42:50,618 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:42:50,618 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:42:50,618 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:42:50,618 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:42:50,618 INFO hook.py line 689 2389709] mattress : 0.0043 0.0043 +[2025-03-11 05:42:50,618 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:42:50,618 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3212/0.4238/0.8257. +[2025-03-11 05:42:50,619 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:42:50,634 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3212 +[2025-03-11 05:42:50,635 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3212 +[2025-03-11 05:42:50,636 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:43:21,670 INFO hook.py line 566 2389709] Train: [80/100][50/300] Data 0.003 (0.003) Batch 0.525 (0.494) Remain 00:51:28 loss: 0.5170 Lr: 5.72053e-04 +[2025-03-11 05:43:46,218 INFO hook.py line 566 2389709] Train: [80/100][100/300] Data 0.002 (0.003) Batch 0.464 (0.493) Remain 00:50:53 loss: 0.3677 Lr: 5.63315e-04 +[2025-03-11 05:44:10,981 INFO hook.py line 566 2389709] Train: [80/100][150/300] Data 0.003 (0.002) Batch 0.467 (0.493) Remain 00:50:34 loss: 0.4496 Lr: 5.54635e-04 +[2025-03-11 05:44:35,332 INFO hook.py line 566 2389709] Train: [80/100][200/300] Data 0.002 (0.002) Batch 0.493 (0.492) Remain 00:50:00 loss: 0.3629 Lr: 5.46014e-04 +[2025-03-11 05:44:59,653 INFO hook.py line 566 2389709] Train: [80/100][250/300] Data 0.002 (0.002) Batch 0.525 (0.491) Remain 00:49:28 loss: 0.6552 Lr: 5.37453e-04 +[2025-03-11 05:45:23,936 INFO hook.py line 566 2389709] Train: [80/100][300/300] Data 0.001 (0.002) Batch 0.470 (0.490) Remain 00:48:59 loss: 0.2593 Lr: 5.28951e-04 +[2025-03-11 05:45:23,937 INFO misc.py line 135 2389709] Train result: loss: 0.4688 +[2025-03-11 05:45:24,025 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:46:16,667 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2704 +[2025-03-11 05:46:16,765 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.4896 +[2025-03-11 05:46:16,808 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5095 +[2025-03-11 05:46:16,862 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4705 +[2025-03-11 05:46:16,911 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9056 +[2025-03-11 05:46:16,973 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0849 +[2025-03-11 05:46:17,027 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7927 +[2025-03-11 05:46:17,058 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3990 +[2025-03-11 05:46:17,104 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3252 +[2025-03-11 05:46:17,145 INFO hook.py line 748 2389709] Test: [10/78] Loss 0.9122 +[2025-03-11 05:46:17,196 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2779 +[2025-03-11 05:46:17,232 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1348 +[2025-03-11 05:46:17,284 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.5963 +[2025-03-11 05:46:17,327 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4640 +[2025-03-11 05:46:17,378 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.5720 +[2025-03-11 05:46:17,424 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0787 +[2025-03-11 05:46:17,462 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4776 +[2025-03-11 05:46:17,501 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1364 +[2025-03-11 05:46:17,547 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.7687 +[2025-03-11 05:46:17,585 INFO hook.py line 748 2389709] Test: [20/78] Loss 2.0044 +[2025-03-11 05:46:17,624 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6327 +[2025-03-11 05:46:17,666 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9039 +[2025-03-11 05:46:17,699 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5335 +[2025-03-11 05:46:17,758 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.8820 +[2025-03-11 05:46:17,800 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5429 +[2025-03-11 05:46:17,843 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.0620 +[2025-03-11 05:46:17,900 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9336 +[2025-03-11 05:46:17,941 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.6977 +[2025-03-11 05:46:17,973 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9997 +[2025-03-11 05:46:18,029 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.2235 +[2025-03-11 05:46:18,088 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3928 +[2025-03-11 05:46:18,126 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4465 +[2025-03-11 05:46:18,189 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8396 +[2025-03-11 05:46:18,239 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6190 +[2025-03-11 05:46:18,287 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.6520 +[2025-03-11 05:46:18,329 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5571 +[2025-03-11 05:46:18,371 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.8407 +[2025-03-11 05:46:18,402 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8940 +[2025-03-11 05:46:18,473 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.6653 +[2025-03-11 05:46:18,521 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4445 +[2025-03-11 05:46:18,570 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4610 +[2025-03-11 05:46:18,605 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4158 +[2025-03-11 05:46:18,644 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2064 +[2025-03-11 05:46:18,709 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8462 +[2025-03-11 05:46:18,755 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.0050 +[2025-03-11 05:46:18,807 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1983 +[2025-03-11 05:46:18,855 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.2973 +[2025-03-11 05:46:18,898 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0834 +[2025-03-11 05:46:18,930 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.5863 +[2025-03-11 05:46:18,962 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4566 +[2025-03-11 05:46:18,996 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2392 +[2025-03-11 05:46:19,032 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7430 +[2025-03-11 05:46:19,064 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.5639 +[2025-03-11 05:46:19,103 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1388 +[2025-03-11 05:46:19,141 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4321 +[2025-03-11 05:46:19,185 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.3439 +[2025-03-11 05:46:19,219 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3380 +[2025-03-11 05:46:19,247 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7930 +[2025-03-11 05:46:19,288 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0049 +[2025-03-11 05:46:19,329 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4471 +[2025-03-11 05:46:19,358 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7658 +[2025-03-11 05:46:19,398 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9609 +[2025-03-11 05:46:19,436 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.3186 +[2025-03-11 05:46:19,496 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9024 +[2025-03-11 05:46:19,528 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3334 +[2025-03-11 05:46:19,571 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1768 +[2025-03-11 05:46:19,611 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8172 +[2025-03-11 05:46:19,652 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.8254 +[2025-03-11 05:46:19,685 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3953 +[2025-03-11 05:46:19,746 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.6975 +[2025-03-11 05:46:19,793 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7758 +[2025-03-11 05:46:19,849 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.7691 +[2025-03-11 05:46:19,904 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7282 +[2025-03-11 05:46:19,947 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.3581 +[2025-03-11 05:46:19,998 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5016 +[2025-03-11 05:46:20,025 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8849 +[2025-03-11 05:46:20,085 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5941 +[2025-03-11 05:46:20,112 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.7732 +[2025-03-11 05:46:21,452 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:46:21,453 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:46:21,453 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:46:21,453 INFO hook.py line 689 2389709] wall : 0.7979 0.9265 +[2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] chair : 0.7482 0.8833 +[2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] floor : 0.9590 0.9854 +[2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] table : 0.6602 0.7977 +[2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] door : 0.6672 0.7774 +[2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] couch : 0.7882 0.9205 +[2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] cabinet : 0.3785 0.6161 +[2025-03-11 05:46:21,454 INFO hook.py line 689 2389709] shelf : 0.4156 0.5624 +[2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] desk : 0.5757 0.7835 +[2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] office chair : 0.1571 0.2150 +[2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] bed : 0.8070 0.8909 +[2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] pillow : 0.5605 0.7562 +[2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] sink : 0.6473 0.8395 +[2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] picture : 0.3926 0.5165 +[2025-03-11 05:46:21,455 INFO hook.py line 689 2389709] window : 0.6008 0.7591 +[2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] toilet : 0.9437 0.9695 +[2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] bookshelf : 0.4885 0.6343 +[2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] monitor : 0.8659 0.9163 +[2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] curtain : 0.7169 0.8559 +[2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] book : 0.4634 0.7465 +[2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] armchair : 0.5176 0.6482 +[2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] coffee table : 0.6894 0.8225 +[2025-03-11 05:46:21,456 INFO hook.py line 689 2389709] box : 0.2892 0.3724 +[2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] refrigerator : 0.6922 0.7633 +[2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] lamp : 0.6643 0.7973 +[2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] kitchen cabinet: 0.6646 0.7623 +[2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] towel : 0.5132 0.7111 +[2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] clothes : 0.1868 0.3307 +[2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] tv : 0.8829 0.9312 +[2025-03-11 05:46:21,457 INFO hook.py line 689 2389709] nightstand : 0.6764 0.8985 +[2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] counter : 0.3017 0.4170 +[2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] dresser : 0.4457 0.6866 +[2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] stool : 0.5896 0.7773 +[2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] plant : 0.7896 0.8670 +[2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] ceiling : 0.9340 0.9648 +[2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] bathtub : 0.8776 0.9251 +[2025-03-11 05:46:21,458 INFO hook.py line 689 2389709] end table : 0.2324 0.3675 +[2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] dining table : 0.0928 0.1192 +[2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] keyboard : 0.4201 0.5381 +[2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] bag : 0.2646 0.3710 +[2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] backpack : 0.6141 0.6952 +[2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] toilet paper : 0.5057 0.6129 +[2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] printer : 0.4904 0.5462 +[2025-03-11 05:46:21,459 INFO hook.py line 689 2389709] tv stand : 0.2991 0.4820 +[2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] whiteboard : 0.5140 0.6935 +[2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] blanket : 0.0133 0.0163 +[2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] shower curtain : 0.7106 0.7990 +[2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] trash can : 0.6046 0.8427 +[2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] closet : 0.0897 0.1605 +[2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] stairs : 0.5273 0.6846 +[2025-03-11 05:46:21,460 INFO hook.py line 689 2389709] microwave : 0.5577 0.7242 +[2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] stove : 0.6261 0.8622 +[2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] shoe : 0.5095 0.6270 +[2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] computer tower : 0.5332 0.8454 +[2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] bottle : 0.0467 0.0825 +[2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] bin : 0.0006 0.0011 +[2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] ottoman : 0.4159 0.4765 +[2025-03-11 05:46:21,461 INFO hook.py line 689 2389709] bench : 0.3512 0.3946 +[2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] board : 0.2149 0.3610 +[2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] washing machine: 0.8709 0.9198 +[2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] mirror : 0.4386 0.5304 +[2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] copier : 0.8755 0.9482 +[2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] sofa chair : 0.1159 0.1796 +[2025-03-11 05:46:21,462 INFO hook.py line 689 2389709] file cabinet : 0.4002 0.5360 +[2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] fan : 0.3645 0.4177 +[2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] laptop : 0.4976 0.7383 +[2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] shower : 0.1660 0.1701 +[2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] paper : 0.0185 0.0214 +[2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] person : 0.3354 0.5897 +[2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] paper towel dispenser: 0.4657 0.8041 +[2025-03-11 05:46:21,463 INFO hook.py line 689 2389709] oven : 0.1148 0.1194 +[2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] blinds : 0.0010 0.0011 +[2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] blackboard : 0.5621 0.6567 +[2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] piano : 0.5870 0.6874 +[2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] suitcase : 0.5989 0.7652 +[2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] rail : 0.0338 0.0420 +[2025-03-11 05:46:21,464 INFO hook.py line 689 2389709] radiator : 0.6626 0.7259 +[2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] recycling bin : 0.4890 0.6412 +[2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] container : 0.0265 0.0467 +[2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] wardrobe : 0.2228 0.3447 +[2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] soap dispenser : 0.8030 0.9040 +[2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] telephone : 0.2962 0.4130 +[2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] bucket : 0.2501 0.3227 +[2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] clock : 0.2480 0.2843 +[2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:46:21,465 INFO hook.py line 689 2389709] light : 0.0467 0.0514 +[2025-03-11 05:46:21,466 INFO hook.py line 689 2389709] laundry basket : 0.0399 0.0518 +[2025-03-11 05:46:21,466 INFO hook.py line 689 2389709] pipe : 0.0493 0.0685 +[2025-03-11 05:46:21,466 INFO hook.py line 689 2389709] clothes dryer : 0.7012 0.7283 +[2025-03-11 05:46:21,466 INFO hook.py line 689 2389709] guitar : 0.6607 0.7825 +[2025-03-11 05:46:21,466 INFO hook.py line 689 2389709] toilet paper holder: 0.0418 0.2004 +[2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] ladder : 0.5946 0.6929 +[2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] bathroom stall : 0.4229 0.5198 +[2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] shower wall : 0.4700 0.6224 +[2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] cup : 0.1778 0.2747 +[2025-03-11 05:46:21,467 INFO hook.py line 689 2389709] jacket : 0.1726 0.2208 +[2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] storage bin : 0.0119 0.0134 +[2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] coffee maker : 0.7150 0.8897 +[2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] dishwasher : 0.2708 0.3807 +[2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] paper towel roll: 0.2937 0.3856 +[2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] mat : 0.2553 0.2706 +[2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] windowsill : 0.1128 0.1189 +[2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] bar : 0.2050 0.3071 +[2025-03-11 05:46:21,468 INFO hook.py line 689 2389709] toaster : 0.3663 0.9094 +[2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] bulletin board : 0.3391 0.5090 +[2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] ironing board : 0.2712 0.3391 +[2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] fireplace : 0.6496 0.6759 +[2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] soap dish : 0.3479 0.4597 +[2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] kitchen counter: 0.6036 0.7501 +[2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] doorframe : 0.4343 0.6357 +[2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] toilet paper dispenser: 0.3761 0.4665 +[2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] mini fridge : 0.3169 0.3842 +[2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] fire extinguisher: 0.1603 0.1750 +[2025-03-11 05:46:21,469 INFO hook.py line 689 2389709] ball : 0.5826 0.7088 +[2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] shower curtain rod: 0.3978 0.9002 +[2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] water cooler : 0.8344 0.9518 +[2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] paper cutter : 0.2587 0.3075 +[2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] tray : 0.0711 0.1146 +[2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] shower door : 0.2051 0.2894 +[2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] ledge : 0.0589 0.0769 +[2025-03-11 05:46:21,470 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] mouse : 0.0578 0.5402 +[2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7349 0.8476 +[2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] cart : 0.0882 0.0997 +[2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] scale : 0.3795 0.9602 +[2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] tissue box : 0.2132 0.2629 +[2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] light switch : 0.0352 0.0836 +[2025-03-11 05:46:21,471 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] power outlet : 0.2682 0.3100 +[2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] decoration : 0.2980 0.3849 +[2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] sign : 0.0016 0.0021 +[2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] projector : 0.1075 1.0000 +[2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] closet door : 0.0702 0.0778 +[2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] vacuum cleaner : 0.9299 0.9798 +[2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] plunger : 0.5623 0.9840 +[2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:46:21,472 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] dish rack : 0.8144 0.9712 +[2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] broom : 0.1029 0.1735 +[2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] range hood : 0.7504 0.8707 +[2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] dustpan : 0.1156 0.1806 +[2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] handicap bar : 0.0618 0.8596 +[2025-03-11 05:46:21,473 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] vent : 0.1346 0.1828 +[2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] shower floor : 0.9069 0.9773 +[2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] mailbox : 0.3870 0.3892 +[2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] bowl : 0.0746 0.0970 +[2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] paper bag : 0.0916 0.1487 +[2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] projector screen: 0.0004 0.0005 +[2025-03-11 05:46:21,474 INFO hook.py line 689 2389709] divider : 0.5236 0.6256 +[2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] bathroom counter: 0.3225 0.3863 +[2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] object : 0.0380 0.0583 +[2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] bathroom vanity: 0.5668 0.7912 +[2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] closet wall : 0.0190 0.0304 +[2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] laundry hamper : 0.0937 0.1166 +[2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] bathroom stall door: 0.6369 0.7269 +[2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] ceiling light : 0.3832 0.4891 +[2025-03-11 05:46:21,475 INFO hook.py line 689 2389709] trash bin : 0.2561 0.3256 +[2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] dumbbell : 0.8184 0.9719 +[2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] stair rail : 0.1274 0.1481 +[2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] tube : 0.1345 0.1834 +[2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] bathroom cabinet: 0.5774 0.8182 +[2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] closet rod : 0.5541 0.8434 +[2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] coffee kettle : 0.4143 0.4909 +[2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:46:21,476 INFO hook.py line 689 2389709] shower head : 0.2914 0.3766 +[2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] case of water bottles: 0.2400 0.2415 +[2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] coat rack : 0.0009 0.0024 +[2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] poster : 0.0097 0.0100 +[2025-03-11 05:46:21,477 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:46:21,478 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:46:21,478 INFO hook.py line 689 2389709] mattress : 0.0000 0.0000 +[2025-03-11 05:46:21,478 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:46:21,478 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3257/0.4220/0.8280. +[2025-03-11 05:46:21,479 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:46:21,501 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3257 +[2025-03-11 05:46:21,502 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3257 +[2025-03-11 05:46:21,502 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:46:52,173 INFO hook.py line 566 2389709] Train: [81/100][50/300] Data 0.002 (0.002) Batch 0.454 (0.496) Remain 00:49:11 loss: 0.5128 Lr: 5.20509e-04 +[2025-03-11 05:47:16,705 INFO hook.py line 566 2389709] Train: [81/100][100/300] Data 0.002 (0.002) Batch 0.458 (0.493) Remain 00:48:30 loss: 0.4890 Lr: 5.12127e-04 +[2025-03-11 05:47:41,146 INFO hook.py line 566 2389709] Train: [81/100][150/300] Data 0.002 (0.002) Batch 0.439 (0.492) Remain 00:47:56 loss: 0.3372 Lr: 5.03806e-04 +[2025-03-11 05:48:06,063 INFO hook.py line 566 2389709] Train: [81/100][200/300] Data 0.002 (0.002) Batch 0.472 (0.493) Remain 00:47:41 loss: 0.5149 Lr: 4.95545e-04 +[2025-03-11 05:48:30,622 INFO hook.py line 566 2389709] Train: [81/100][250/300] Data 0.003 (0.002) Batch 0.486 (0.493) Remain 00:47:14 loss: 0.3780 Lr: 4.87345e-04 +[2025-03-11 05:48:55,045 INFO hook.py line 566 2389709] Train: [81/100][300/300] Data 0.002 (0.002) Batch 0.566 (0.492) Remain 00:46:45 loss: 0.3761 Lr: 4.79368e-04 +[2025-03-11 05:48:55,046 INFO misc.py line 135 2389709] Train result: loss: 0.4575 +[2025-03-11 05:48:55,151 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:49:47,921 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.4072 +[2025-03-11 05:49:47,998 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1371 +[2025-03-11 05:49:48,036 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4378 +[2025-03-11 05:49:48,086 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.5581 +[2025-03-11 05:49:48,118 INFO hook.py line 748 2389709] Test: [5/78] Loss 1.0161 +[2025-03-11 05:49:48,175 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0906 +[2025-03-11 05:49:48,232 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8214 +[2025-03-11 05:49:48,265 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2523 +[2025-03-11 05:49:48,310 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2233 +[2025-03-11 05:49:48,346 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.5094 +[2025-03-11 05:49:48,398 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2121 +[2025-03-11 05:49:48,434 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2152 +[2025-03-11 05:49:48,482 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.7133 +[2025-03-11 05:49:48,521 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5642 +[2025-03-11 05:49:48,558 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2249 +[2025-03-11 05:49:48,614 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0720 +[2025-03-11 05:49:48,660 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3575 +[2025-03-11 05:49:48,701 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9602 +[2025-03-11 05:49:48,751 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4393 +[2025-03-11 05:49:48,784 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6529 +[2025-03-11 05:49:48,824 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7306 +[2025-03-11 05:49:48,870 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0617 +[2025-03-11 05:49:48,904 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3470 +[2025-03-11 05:49:48,953 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0120 +[2025-03-11 05:49:49,000 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3455 +[2025-03-11 05:49:49,045 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2264 +[2025-03-11 05:49:49,099 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8767 +[2025-03-11 05:49:49,138 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8930 +[2025-03-11 05:49:49,174 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1280 +[2025-03-11 05:49:49,233 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5197 +[2025-03-11 05:49:49,296 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5462 +[2025-03-11 05:49:49,335 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.3735 +[2025-03-11 05:49:49,392 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8060 +[2025-03-11 05:49:49,435 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2530 +[2025-03-11 05:49:49,476 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2503 +[2025-03-11 05:49:49,515 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.3403 +[2025-03-11 05:49:49,554 INFO hook.py line 748 2389709] Test: [37/78] Loss 1.7672 +[2025-03-11 05:49:49,587 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9916 +[2025-03-11 05:49:49,655 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.8610 +[2025-03-11 05:49:49,710 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3451 +[2025-03-11 05:49:49,757 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3051 +[2025-03-11 05:49:49,785 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4193 +[2025-03-11 05:49:49,824 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2074 +[2025-03-11 05:49:49,889 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.9534 +[2025-03-11 05:49:49,929 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.2908 +[2025-03-11 05:49:49,982 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1938 +[2025-03-11 05:49:50,021 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.6992 +[2025-03-11 05:49:50,059 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2046 +[2025-03-11 05:49:50,095 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8875 +[2025-03-11 05:49:50,132 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.3232 +[2025-03-11 05:49:50,162 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3201 +[2025-03-11 05:49:50,203 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.5703 +[2025-03-11 05:49:50,231 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3920 +[2025-03-11 05:49:50,270 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.9733 +[2025-03-11 05:49:50,312 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4526 +[2025-03-11 05:49:50,353 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8695 +[2025-03-11 05:49:50,392 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.7544 +[2025-03-11 05:49:50,421 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8339 +[2025-03-11 05:49:50,463 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9829 +[2025-03-11 05:49:50,500 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5774 +[2025-03-11 05:49:50,527 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8138 +[2025-03-11 05:49:50,563 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9403 +[2025-03-11 05:49:50,605 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2671 +[2025-03-11 05:49:50,663 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8549 +[2025-03-11 05:49:50,693 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5589 +[2025-03-11 05:49:50,740 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.8142 +[2025-03-11 05:49:50,784 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9933 +[2025-03-11 05:49:50,822 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9056 +[2025-03-11 05:49:50,856 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3764 +[2025-03-11 05:49:50,921 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3300 +[2025-03-11 05:49:50,965 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.2557 +[2025-03-11 05:49:51,019 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8620 +[2025-03-11 05:49:51,073 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7110 +[2025-03-11 05:49:51,120 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8599 +[2025-03-11 05:49:51,175 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6095 +[2025-03-11 05:49:51,204 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.8830 +[2025-03-11 05:49:51,263 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6179 +[2025-03-11 05:49:51,294 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1913 +[2025-03-11 05:49:52,545 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:49:52,545 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:49:52,546 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] wall : 0.7889 0.9302 +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] chair : 0.7269 0.8514 +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] floor : 0.9602 0.9844 +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] table : 0.6529 0.7688 +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] door : 0.6570 0.7752 +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] couch : 0.7772 0.9197 +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] cabinet : 0.3638 0.5715 +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] shelf : 0.4341 0.6036 +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] desk : 0.5833 0.7891 +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] office chair : 0.2253 0.3369 +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] bed : 0.7969 0.8850 +[2025-03-11 05:49:52,546 INFO hook.py line 689 2389709] pillow : 0.5397 0.8243 +[2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] sink : 0.6462 0.7510 +[2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] picture : 0.3824 0.5493 +[2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] window : 0.6119 0.7561 +[2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] toilet : 0.9455 0.9657 +[2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] bookshelf : 0.4636 0.5857 +[2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] monitor : 0.8537 0.9112 +[2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] curtain : 0.7032 0.8408 +[2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] book : 0.4563 0.7073 +[2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] armchair : 0.5529 0.8309 +[2025-03-11 05:49:52,550 INFO hook.py line 689 2389709] coffee table : 0.6954 0.8013 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] box : 0.3110 0.4189 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] refrigerator : 0.6409 0.6937 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] lamp : 0.6412 0.8050 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] kitchen cabinet: 0.6707 0.7722 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] towel : 0.5320 0.6683 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] clothes : 0.2126 0.4257 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] tv : 0.8796 0.8990 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] nightstand : 0.6088 0.9002 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] counter : 0.2717 0.3803 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] dresser : 0.4490 0.6024 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] stool : 0.5294 0.7224 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] plant : 0.7786 0.8470 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] ceiling : 0.9271 0.9627 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] bathtub : 0.8831 0.9175 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] end table : 0.2423 0.4603 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] dining table : 0.0939 0.1186 +[2025-03-11 05:49:52,551 INFO hook.py line 689 2389709] keyboard : 0.4315 0.5888 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] bag : 0.1841 0.2419 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] backpack : 0.5737 0.6580 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] toilet paper : 0.4914 0.6166 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] printer : 0.4750 0.5873 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] tv stand : 0.4379 0.5460 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] whiteboard : 0.5050 0.6699 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] blanket : 0.0623 0.0886 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] shower curtain : 0.6968 0.7883 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] trash can : 0.6068 0.7896 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] closet : 0.1134 0.1596 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] stairs : 0.5154 0.7100 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] microwave : 0.6463 0.7753 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] stove : 0.6547 0.8649 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] shoe : 0.5089 0.6321 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] computer tower : 0.5882 0.7941 +[2025-03-11 05:49:52,552 INFO hook.py line 689 2389709] bottle : 0.0738 0.1532 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] bin : 0.0016 0.0026 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] ottoman : 0.2127 0.2293 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] bench : 0.3976 0.4636 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] board : 0.1391 0.2107 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] washing machine: 0.8099 0.9238 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] mirror : 0.4120 0.5008 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] copier : 0.8488 0.9507 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] sofa chair : 0.0882 0.1152 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] file cabinet : 0.4746 0.6048 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] fan : 0.3711 0.4497 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] laptop : 0.5206 0.7996 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] shower : 0.3084 0.3277 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] paper : 0.0704 0.1109 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] person : 0.2371 0.6249 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] paper towel dispenser: 0.6405 0.7826 +[2025-03-11 05:49:52,553 INFO hook.py line 689 2389709] oven : 0.1653 0.1905 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] blinds : 0.0161 0.0183 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] plate : 0.0696 0.0945 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] blackboard : 0.5798 0.6349 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] piano : 0.3650 0.6931 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] suitcase : 0.6355 0.7119 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] rail : 0.0292 0.0324 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] radiator : 0.6607 0.7398 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] recycling bin : 0.4311 0.6627 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] container : 0.0055 0.0095 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] wardrobe : 0.1521 0.1673 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] soap dispenser : 0.8174 0.9018 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] telephone : 0.2701 0.3939 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] bucket : 0.3286 0.4453 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] clock : 0.2557 0.3116 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] light : 0.0475 0.0555 +[2025-03-11 05:49:52,554 INFO hook.py line 689 2389709] laundry basket : 0.0644 0.0746 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] pipe : 0.0371 0.0569 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] clothes dryer : 0.5523 0.5592 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] guitar : 0.5782 0.8097 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] toilet paper holder: 0.0351 0.0821 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] column : 0.1354 0.1551 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] ladder : 0.4512 0.4773 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] bathroom stall : 0.4236 0.4880 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] shower wall : 0.4526 0.5946 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] cup : 0.1875 0.2942 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] jacket : 0.2210 0.2752 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] storage bin : 0.0004 0.0005 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] coffee maker : 0.6127 0.7447 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] dishwasher : 0.5086 0.6587 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] paper towel roll: 0.2225 0.2514 +[2025-03-11 05:49:52,555 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] mat : 0.2684 0.2925 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] windowsill : 0.1105 0.1252 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] bar : 0.1732 0.3149 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] toaster : 0.4639 0.7178 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] bulletin board : 0.2072 0.3918 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] ironing board : 0.2239 0.2876 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] fireplace : 0.6713 0.7354 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] soap dish : 0.3607 0.5058 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] kitchen counter: 0.5695 0.6785 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] doorframe : 0.4059 0.5475 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4716 0.6402 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] mini fridge : 0.1178 0.1274 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] fire extinguisher: 0.1577 0.2408 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] ball : 0.4581 0.7350 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] shower curtain rod: 0.3474 0.9154 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] water cooler : 0.4527 0.5303 +[2025-03-11 05:49:52,556 INFO hook.py line 689 2389709] paper cutter : 0.2253 0.2727 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] tray : 0.0913 0.1158 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] shower door : 0.1830 0.2646 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] pillar : 0.0098 0.0104 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] ledge : 0.0631 0.0866 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] mouse : 0.0549 0.3761 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6922 0.8576 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] cart : 0.1600 0.1837 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] scale : 0.3808 0.9354 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] tissue box : 0.2437 0.2895 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] light switch : 0.0404 0.1043 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] power outlet : 0.2279 0.4675 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] decoration : 0.2299 0.3395 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] projector : 0.1743 1.0000 +[2025-03-11 05:49:52,557 INFO hook.py line 689 2389709] closet door : 0.0662 0.0788 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] vacuum cleaner : 0.8243 0.9852 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] plunger : 0.3638 0.9873 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] headphones : 0.0276 0.0381 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] dish rack : 0.8369 0.9692 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] broom : 0.0444 0.0680 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] range hood : 0.7245 0.8965 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] dustpan : 0.0675 0.0901 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] handicap bar : 0.0308 0.4438 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] vent : 0.1260 0.1527 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] shower floor : 0.9053 0.9900 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] mailbox : 0.4799 0.4990 +[2025-03-11 05:49:52,558 INFO hook.py line 689 2389709] bowl : 0.1227 0.1478 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] paper bag : 0.1048 0.1400 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] divider : 0.4756 0.5231 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] bathroom counter: 0.2161 0.2508 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] object : 0.0530 0.0962 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] bathroom vanity: 0.5481 0.8079 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] closet wall : 0.0234 0.0315 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] laundry hamper : 0.0763 0.1167 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] bathroom stall door: 0.6014 0.7052 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] ceiling light : 0.4026 0.5744 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] trash bin : 0.2898 0.3694 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] dumbbell : 0.9070 0.9689 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] stair rail : 0.1742 0.2016 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] tube : 0.1012 0.1471 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] bathroom cabinet: 0.6002 0.8240 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:49:52,559 INFO hook.py line 689 2389709] closet rod : 0.3236 0.8150 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] coffee kettle : 0.4212 0.4637 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] shower head : 0.2635 0.4157 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] keyboard piano : 0.0384 0.0454 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] case of water bottles: 0.1929 0.1929 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] coat rack : 0.0053 0.0217 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] fire alarm : 0.0924 0.5238 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:49:52,560 INFO hook.py line 689 2389709] mattress : 0.0278 0.0284 +[2025-03-11 05:49:52,560 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:49:52,560 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3185/0.4179/0.8244. +[2025-03-11 05:49:52,561 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:49:52,588 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3257 +[2025-03-11 05:49:52,588 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:50:22,661 INFO hook.py line 566 2389709] Train: [82/100][50/300] Data 0.003 (0.003) Batch 0.511 (0.499) Remain 00:47:01 loss: 0.6283 Lr: 4.71290e-04 +[2025-03-11 05:50:47,613 INFO hook.py line 566 2389709] Train: [82/100][100/300] Data 0.002 (0.002) Batch 0.562 (0.499) Remain 00:46:35 loss: 0.2582 Lr: 4.63273e-04 +[2025-03-11 05:51:11,887 INFO hook.py line 566 2389709] Train: [82/100][150/300] Data 0.004 (0.003) Batch 0.463 (0.495) Remain 00:45:44 loss: 0.3329 Lr: 4.55318e-04 +[2025-03-11 05:51:36,782 INFO hook.py line 566 2389709] Train: [82/100][200/300] Data 0.003 (0.003) Batch 0.553 (0.495) Remain 00:45:24 loss: 0.4049 Lr: 4.47425e-04 +[2025-03-11 05:52:01,132 INFO hook.py line 566 2389709] Train: [82/100][250/300] Data 0.003 (0.002) Batch 0.483 (0.494) Remain 00:44:50 loss: 0.3140 Lr: 4.39594e-04 +[2025-03-11 05:52:24,675 INFO hook.py line 566 2389709] Train: [82/100][300/300] Data 0.002 (0.002) Batch 0.508 (0.490) Remain 00:44:05 loss: 0.2639 Lr: 4.31826e-04 +[2025-03-11 05:52:24,676 INFO misc.py line 135 2389709] Train result: loss: 0.4575 +[2025-03-11 05:52:24,778 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:53:14,692 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3139 +[2025-03-11 05:53:14,735 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1771 +[2025-03-11 05:53:14,775 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.3625 +[2025-03-11 05:53:14,826 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3803 +[2025-03-11 05:53:14,867 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9011 +[2025-03-11 05:53:14,923 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.3328 +[2025-03-11 05:53:14,976 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7875 +[2025-03-11 05:53:15,012 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2550 +[2025-03-11 05:53:15,062 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3692 +[2025-03-11 05:53:15,105 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3182 +[2025-03-11 05:53:15,158 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.3288 +[2025-03-11 05:53:15,202 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.5182 +[2025-03-11 05:53:15,250 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6541 +[2025-03-11 05:53:15,294 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4769 +[2025-03-11 05:53:15,331 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1822 +[2025-03-11 05:53:15,384 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0756 +[2025-03-11 05:53:15,423 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4426 +[2025-03-11 05:53:15,459 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9623 +[2025-03-11 05:53:15,511 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5944 +[2025-03-11 05:53:15,549 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7883 +[2025-03-11 05:53:15,585 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7187 +[2025-03-11 05:53:15,627 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.7724 +[2025-03-11 05:53:15,664 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5467 +[2025-03-11 05:53:15,720 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9728 +[2025-03-11 05:53:15,761 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4708 +[2025-03-11 05:53:15,803 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4603 +[2025-03-11 05:53:15,861 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0087 +[2025-03-11 05:53:15,905 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7910 +[2025-03-11 05:53:15,935 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1614 +[2025-03-11 05:53:15,990 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5523 +[2025-03-11 05:53:16,049 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4719 +[2025-03-11 05:53:16,090 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4866 +[2025-03-11 05:53:16,149 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7388 +[2025-03-11 05:53:16,188 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.8437 +[2025-03-11 05:53:16,224 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.1760 +[2025-03-11 05:53:16,270 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4720 +[2025-03-11 05:53:16,317 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.3887 +[2025-03-11 05:53:16,350 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.8910 +[2025-03-11 05:53:16,420 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1792 +[2025-03-11 05:53:16,467 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3840 +[2025-03-11 05:53:16,515 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3550 +[2025-03-11 05:53:16,550 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4422 +[2025-03-11 05:53:16,594 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2297 +[2025-03-11 05:53:16,655 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8332 +[2025-03-11 05:53:16,691 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.8920 +[2025-03-11 05:53:16,739 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1382 +[2025-03-11 05:53:16,780 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.3072 +[2025-03-11 05:53:16,815 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0602 +[2025-03-11 05:53:16,850 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9840 +[2025-03-11 05:53:16,889 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5248 +[2025-03-11 05:53:16,920 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1907 +[2025-03-11 05:53:16,956 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7429 +[2025-03-11 05:53:16,985 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3929 +[2025-03-11 05:53:17,025 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3674 +[2025-03-11 05:53:17,068 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4650 +[2025-03-11 05:53:17,112 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8875 +[2025-03-11 05:53:17,151 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.1351 +[2025-03-11 05:53:17,181 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8196 +[2025-03-11 05:53:17,220 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8131 +[2025-03-11 05:53:17,256 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.6344 +[2025-03-11 05:53:17,283 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8087 +[2025-03-11 05:53:17,319 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9901 +[2025-03-11 05:53:17,356 INFO hook.py line 748 2389709] Test: [63/78] Loss 1.9460 +[2025-03-11 05:53:17,415 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8990 +[2025-03-11 05:53:17,443 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3336 +[2025-03-11 05:53:17,492 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.9530 +[2025-03-11 05:53:17,532 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8938 +[2025-03-11 05:53:17,571 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9915 +[2025-03-11 05:53:17,606 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3711 +[2025-03-11 05:53:17,672 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.2037 +[2025-03-11 05:53:17,718 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.1709 +[2025-03-11 05:53:17,774 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9989 +[2025-03-11 05:53:17,827 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6932 +[2025-03-11 05:53:17,875 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6509 +[2025-03-11 05:53:17,930 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6345 +[2025-03-11 05:53:17,963 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9354 +[2025-03-11 05:53:18,022 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5534 +[2025-03-11 05:53:18,049 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8345 +[2025-03-11 05:53:19,376 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:53:19,376 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:53:19,380 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] wall : 0.7926 0.9284 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] chair : 0.7299 0.8575 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] floor : 0.9582 0.9838 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] table : 0.6481 0.7714 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] door : 0.6702 0.8031 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] couch : 0.7893 0.9246 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] cabinet : 0.3584 0.5604 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] shelf : 0.3959 0.5555 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] desk : 0.5750 0.7920 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] office chair : 0.1976 0.3043 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] bed : 0.8033 0.8932 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] pillow : 0.5883 0.7505 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] sink : 0.6790 0.7661 +[2025-03-11 05:53:19,380 INFO hook.py line 689 2389709] picture : 0.3806 0.5136 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] window : 0.5955 0.7438 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] toilet : 0.9412 0.9695 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] bookshelf : 0.4616 0.6049 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] monitor : 0.8610 0.9231 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] curtain : 0.7137 0.8276 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] book : 0.4533 0.7681 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] armchair : 0.5514 0.7044 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] coffee table : 0.6788 0.8654 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] box : 0.3449 0.5607 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] refrigerator : 0.6435 0.6755 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] lamp : 0.6977 0.8361 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] kitchen cabinet: 0.6349 0.7298 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] towel : 0.5065 0.6044 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] clothes : 0.1811 0.3704 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] tv : 0.8665 0.9112 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] nightstand : 0.6907 0.8887 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] counter : 0.3348 0.5072 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] dresser : 0.4396 0.5974 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] stool : 0.6088 0.7633 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:53:19,381 INFO hook.py line 689 2389709] plant : 0.7731 0.8933 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] ceiling : 0.9291 0.9663 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] bathtub : 0.8782 0.9193 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] end table : 0.2500 0.3472 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] dining table : 0.0701 0.1118 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] keyboard : 0.4364 0.6360 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] bag : 0.1114 0.1463 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] backpack : 0.5920 0.6367 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] toilet paper : 0.4899 0.6123 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] printer : 0.4790 0.6066 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] tv stand : 0.3515 0.4764 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] whiteboard : 0.5160 0.7322 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] blanket : 0.0050 0.0066 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] shower curtain : 0.6584 0.7190 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] trash can : 0.6249 0.8471 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] closet : 0.1045 0.1585 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] stairs : 0.4367 0.6708 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] microwave : 0.5416 0.7135 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] stove : 0.6552 0.8601 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] shoe : 0.5196 0.6963 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] computer tower : 0.5858 0.7962 +[2025-03-11 05:53:19,382 INFO hook.py line 689 2389709] bottle : 0.1312 0.2875 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] bin : 0.0005 0.0010 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] ottoman : 0.3803 0.5091 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] bench : 0.3310 0.3557 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] board : 0.1926 0.3064 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] washing machine: 0.8338 0.9288 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] mirror : 0.4140 0.5182 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] copier : 0.8786 0.9379 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] sofa chair : 0.1895 0.2609 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] file cabinet : 0.4169 0.5223 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] fan : 0.3550 0.4363 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] laptop : 0.5696 0.7188 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] shower : 0.2158 0.2210 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] paper : 0.0797 0.1121 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] person : 0.2669 0.5315 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] paper towel dispenser: 0.6294 0.8245 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] oven : 0.1435 0.1511 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] blinds : 0.0117 0.0122 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] blackboard : 0.5577 0.6619 +[2025-03-11 05:53:19,383 INFO hook.py line 689 2389709] piano : 0.4500 0.4937 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] suitcase : 0.6442 0.8360 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] rail : 0.0447 0.0489 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] radiator : 0.6778 0.7479 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] recycling bin : 0.4423 0.6395 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] container : 0.0000 0.0000 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] wardrobe : 0.0912 0.1186 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] soap dispenser : 0.8074 0.9226 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] telephone : 0.3332 0.4297 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] bucket : 0.2499 0.3592 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] clock : 0.2448 0.2936 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] light : 0.0531 0.0590 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] laundry basket : 0.0519 0.0624 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] pipe : 0.0380 0.0550 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] clothes dryer : 0.5453 0.5580 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] guitar : 0.7629 0.8903 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] toilet paper holder: 0.0290 0.1272 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:53:19,384 INFO hook.py line 689 2389709] column : 0.0017 0.0022 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] ladder : 0.5558 0.5877 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] bathroom stall : 0.4227 0.4758 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] shower wall : 0.4773 0.6368 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] cup : 0.2310 0.4581 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] jacket : 0.2430 0.3432 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] coffee maker : 0.8120 0.8865 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] dishwasher : 0.2642 0.3763 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] paper towel roll: 0.3122 0.3493 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] mat : 0.1642 0.1740 +[2025-03-11 05:53:19,385 INFO hook.py line 689 2389709] windowsill : 0.1138 0.1162 +[2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] bar : 0.1751 0.2752 +[2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] toaster : 0.4368 0.6968 +[2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] bulletin board : 0.2023 0.3287 +[2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] ironing board : 0.1184 0.1246 +[2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] fireplace : 0.6956 0.7381 +[2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] soap dish : 0.3795 0.5307 +[2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] kitchen counter: 0.5692 0.6818 +[2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] doorframe : 0.4343 0.6667 +[2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4246 0.5041 +[2025-03-11 05:53:19,386 INFO hook.py line 689 2389709] mini fridge : 0.3380 0.3845 +[2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] fire extinguisher: 0.2082 0.2690 +[2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] ball : 0.5606 0.6958 +[2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] shower curtain rod: 0.3494 0.9277 +[2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] water cooler : 0.7536 0.8014 +[2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] paper cutter : 0.2186 0.2542 +[2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] tray : 0.0962 0.1157 +[2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] shower door : 0.2121 0.2827 +[2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] pillar : 0.0008 0.0008 +[2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] ledge : 0.0367 0.0468 +[2025-03-11 05:53:19,389 INFO hook.py line 689 2389709] toaster oven : 0.0004 0.0005 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] mouse : 0.1245 0.6009 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6834 0.7914 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] cart : 0.1659 0.1976 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] scale : 0.4967 0.9424 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] tissue box : 0.2662 0.3261 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] light switch : 0.0215 0.0470 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] power outlet : 0.2284 0.3547 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] decoration : 0.3063 0.4344 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] projector : 0.1272 1.0000 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] closet door : 0.0578 0.0623 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] vacuum cleaner : 0.8579 0.9771 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] plunger : 0.5706 0.9743 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] headphones : 0.0270 0.0401 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] dish rack : 0.8517 0.9627 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] broom : 0.1195 0.1443 +[2025-03-11 05:53:19,390 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] range hood : 0.6898 0.7976 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] dustpan : 0.1502 0.2543 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] handicap bar : 0.0313 0.4006 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] vent : 0.0419 0.0877 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] shower floor : 0.9037 0.9878 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] mailbox : 0.4398 0.4510 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] bowl : 0.0407 0.0544 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] paper bag : 0.0710 0.0791 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] divider : 0.3967 0.4295 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:53:19,391 INFO hook.py line 689 2389709] bathroom counter: 0.2489 0.3054 +[2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] object : 0.0393 0.0626 +[2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] bathroom vanity: 0.5457 0.8271 +[2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] closet wall : 0.0436 0.0638 +[2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] laundry hamper : 0.0004 0.0005 +[2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] bathroom stall door: 0.5907 0.6878 +[2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] ceiling light : 0.4400 0.5124 +[2025-03-11 05:53:19,392 INFO hook.py line 689 2389709] trash bin : 0.2080 0.2894 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] dumbbell : 0.8968 0.9751 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] stair rail : 0.1328 0.1501 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] tube : 0.1066 0.1283 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] bathroom cabinet: 0.5054 0.6029 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] closet rod : 0.4102 0.7806 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] coffee kettle : 0.3733 0.5491 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] shower head : 0.2978 0.3545 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] case of water bottles: 0.0132 0.0132 +[2025-03-11 05:53:19,393 INFO hook.py line 689 2389709] coat rack : 0.0015 0.0048 +[2025-03-11 05:53:19,394 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:53:19,394 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:53:19,395 INFO hook.py line 689 2389709] mattress : 0.0655 0.0656 +[2025-03-11 05:53:19,395 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:53:19,395 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3212/0.4112/0.8239. +[2025-03-11 05:53:19,395 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:53:19,409 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3257 +[2025-03-11 05:53:19,410 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:53:49,438 INFO hook.py line 566 2389709] Train: [83/100][50/300] Data 0.002 (0.002) Batch 0.471 (0.494) Remain 00:44:03 loss: 0.4951 Lr: 4.24121e-04 +[2025-03-11 05:54:14,569 INFO hook.py line 566 2389709] Train: [83/100][100/300] Data 0.004 (0.002) Batch 0.509 (0.498) Remain 00:44:01 loss: 0.7609 Lr: 4.16479e-04 +[2025-03-11 05:54:39,588 INFO hook.py line 566 2389709] Train: [83/100][150/300] Data 0.002 (0.002) Batch 0.507 (0.499) Remain 00:43:40 loss: 0.5416 Lr: 4.08901e-04 +[2025-03-11 05:55:04,417 INFO hook.py line 566 2389709] Train: [83/100][200/300] Data 0.003 (0.002) Batch 0.540 (0.498) Remain 00:43:12 loss: 0.4190 Lr: 4.01385e-04 +[2025-03-11 05:55:28,621 INFO hook.py line 566 2389709] Train: [83/100][250/300] Data 0.003 (0.003) Batch 0.464 (0.496) Remain 00:42:32 loss: 0.3146 Lr: 3.93934e-04 +[2025-03-11 05:55:52,725 INFO hook.py line 566 2389709] Train: [83/100][300/300] Data 0.002 (0.002) Batch 0.438 (0.493) Remain 00:41:55 loss: 0.2742 Lr: 3.86546e-04 +[2025-03-11 05:55:52,725 INFO misc.py line 135 2389709] Train result: loss: 0.4444 +[2025-03-11 05:55:52,820 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 05:56:40,435 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3345 +[2025-03-11 05:56:40,487 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1966 +[2025-03-11 05:56:40,526 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.5409 +[2025-03-11 05:56:40,576 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4213 +[2025-03-11 05:56:40,618 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9314 +[2025-03-11 05:56:40,679 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1804 +[2025-03-11 05:56:40,732 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8910 +[2025-03-11 05:56:40,769 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2557 +[2025-03-11 05:56:40,813 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2903 +[2025-03-11 05:56:40,849 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1656 +[2025-03-11 05:56:40,898 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1702 +[2025-03-11 05:56:40,931 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1869 +[2025-03-11 05:56:40,980 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1733 +[2025-03-11 05:56:41,028 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7691 +[2025-03-11 05:56:41,066 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.5206 +[2025-03-11 05:56:41,111 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0870 +[2025-03-11 05:56:41,149 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4561 +[2025-03-11 05:56:41,186 INFO hook.py line 748 2389709] Test: [18/78] Loss 1.9994 +[2025-03-11 05:56:41,232 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.6659 +[2025-03-11 05:56:41,267 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7516 +[2025-03-11 05:56:41,302 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6990 +[2025-03-11 05:56:41,342 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8866 +[2025-03-11 05:56:41,373 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.3687 +[2025-03-11 05:56:41,425 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9442 +[2025-03-11 05:56:41,471 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7402 +[2025-03-11 05:56:41,520 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4597 +[2025-03-11 05:56:41,577 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.8701 +[2025-03-11 05:56:41,620 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8245 +[2025-03-11 05:56:41,653 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0873 +[2025-03-11 05:56:41,707 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7392 +[2025-03-11 05:56:41,764 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.5053 +[2025-03-11 05:56:41,798 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4196 +[2025-03-11 05:56:41,856 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7645 +[2025-03-11 05:56:41,899 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.1430 +[2025-03-11 05:56:41,939 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2089 +[2025-03-11 05:56:41,977 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6907 +[2025-03-11 05:56:42,016 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2994 +[2025-03-11 05:56:42,047 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9311 +[2025-03-11 05:56:42,125 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1274 +[2025-03-11 05:56:42,175 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3037 +[2025-03-11 05:56:42,221 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4175 +[2025-03-11 05:56:42,253 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4319 +[2025-03-11 05:56:42,289 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1155 +[2025-03-11 05:56:42,348 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8391 +[2025-03-11 05:56:42,383 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5017 +[2025-03-11 05:56:42,431 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1983 +[2025-03-11 05:56:42,473 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.1458 +[2025-03-11 05:56:42,507 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0843 +[2025-03-11 05:56:42,537 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8511 +[2025-03-11 05:56:42,570 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6632 +[2025-03-11 05:56:42,600 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0464 +[2025-03-11 05:56:42,635 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.9462 +[2025-03-11 05:56:42,663 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3694 +[2025-03-11 05:56:42,698 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3190 +[2025-03-11 05:56:42,735 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5069 +[2025-03-11 05:56:42,776 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8529 +[2025-03-11 05:56:42,808 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.7236 +[2025-03-11 05:56:42,833 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7179 +[2025-03-11 05:56:42,872 INFO hook.py line 748 2389709] Test: [59/78] Loss 1.0513 +[2025-03-11 05:56:42,909 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4869 +[2025-03-11 05:56:42,933 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8094 +[2025-03-11 05:56:42,969 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0004 +[2025-03-11 05:56:43,004 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2218 +[2025-03-11 05:56:43,062 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8901 +[2025-03-11 05:56:43,090 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5201 +[2025-03-11 05:56:43,133 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.4931 +[2025-03-11 05:56:43,172 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9334 +[2025-03-11 05:56:43,208 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0830 +[2025-03-11 05:56:43,238 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3585 +[2025-03-11 05:56:43,298 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.8390 +[2025-03-11 05:56:43,342 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7037 +[2025-03-11 05:56:43,396 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0392 +[2025-03-11 05:56:43,450 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6921 +[2025-03-11 05:56:43,493 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8755 +[2025-03-11 05:56:43,544 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6888 +[2025-03-11 05:56:43,572 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0042 +[2025-03-11 05:56:43,631 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.7213 +[2025-03-11 05:56:43,657 INFO hook.py line 748 2389709] Test: [78/78] Loss 0.8806 +[2025-03-11 05:56:44,912 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 05:56:44,912 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 05:56:44,912 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] wall : 0.7935 0.9303 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] chair : 0.7375 0.8794 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] floor : 0.9575 0.9821 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] table : 0.6483 0.7681 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] door : 0.6720 0.8034 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] couch : 0.8108 0.9264 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] cabinet : 0.3769 0.5821 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] shelf : 0.3992 0.5044 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] desk : 0.5792 0.7919 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] office chair : 0.1863 0.2608 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] bed : 0.7895 0.8512 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] pillow : 0.5837 0.7733 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] sink : 0.6579 0.7405 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] picture : 0.3904 0.5169 +[2025-03-11 05:56:44,913 INFO hook.py line 689 2389709] window : 0.6040 0.7432 +[2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] toilet : 0.9460 0.9624 +[2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] bookshelf : 0.4954 0.7018 +[2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] monitor : 0.8449 0.8905 +[2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] curtain : 0.6973 0.8535 +[2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] book : 0.4629 0.7038 +[2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] armchair : 0.5649 0.7549 +[2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] coffee table : 0.7267 0.8655 +[2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] box : 0.3329 0.4559 +[2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] refrigerator : 0.6813 0.7503 +[2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] lamp : 0.6966 0.8455 +[2025-03-11 05:56:44,914 INFO hook.py line 689 2389709] kitchen cabinet: 0.6590 0.7607 +[2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] towel : 0.5585 0.6957 +[2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] clothes : 0.1962 0.2893 +[2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] tv : 0.8886 0.9179 +[2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] nightstand : 0.7140 0.9020 +[2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] counter : 0.2971 0.4812 +[2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] dresser : 0.4682 0.5881 +[2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] stool : 0.5275 0.7760 +[2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] plant : 0.7746 0.8648 +[2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] ceiling : 0.9279 0.9706 +[2025-03-11 05:56:44,915 INFO hook.py line 689 2389709] bathtub : 0.8849 0.9145 +[2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] end table : 0.2498 0.4130 +[2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] dining table : 0.0053 0.0087 +[2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] keyboard : 0.4029 0.4997 +[2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] bag : 0.1477 0.1872 +[2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] backpack : 0.5990 0.6852 +[2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] toilet paper : 0.4900 0.6044 +[2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] printer : 0.5026 0.6146 +[2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] tv stand : 0.3386 0.5277 +[2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] whiteboard : 0.5139 0.7047 +[2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] blanket : 0.0386 0.0581 +[2025-03-11 05:56:44,916 INFO hook.py line 689 2389709] shower curtain : 0.6450 0.7240 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] trash can : 0.6112 0.7969 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] closet : 0.1031 0.1728 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] stairs : 0.5576 0.7031 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] microwave : 0.5438 0.7397 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] stove : 0.6605 0.8483 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] shoe : 0.5070 0.6483 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] computer tower : 0.5571 0.8238 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] bottle : 0.1125 0.2189 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] bin : 0.0006 0.0010 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] ottoman : 0.2279 0.2400 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] bench : 0.4726 0.5547 +[2025-03-11 05:56:44,917 INFO hook.py line 689 2389709] board : 0.2040 0.3102 +[2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] washing machine: 0.8489 0.9466 +[2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] mirror : 0.3912 0.4627 +[2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] copier : 0.8520 0.9410 +[2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] sofa chair : 0.1897 0.3450 +[2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] file cabinet : 0.4911 0.6529 +[2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] fan : 0.3893 0.4634 +[2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] laptop : 0.5264 0.6494 +[2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] shower : 0.1651 0.1706 +[2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] paper : 0.0178 0.0218 +[2025-03-11 05:56:44,918 INFO hook.py line 689 2389709] person : 0.3130 0.4999 +[2025-03-11 05:56:44,919 INFO hook.py line 689 2389709] paper towel dispenser: 0.5229 0.8376 +[2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] oven : 0.1340 0.1406 +[2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] blinds : 0.0028 0.0031 +[2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] blackboard : 0.5598 0.6439 +[2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] piano : 0.4294 0.4782 +[2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] suitcase : 0.6638 0.7567 +[2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] rail : 0.0495 0.0547 +[2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] radiator : 0.6760 0.7218 +[2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] recycling bin : 0.4649 0.7073 +[2025-03-11 05:56:44,920 INFO hook.py line 689 2389709] container : 0.0003 0.0005 +[2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] wardrobe : 0.2077 0.3245 +[2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] soap dispenser : 0.8644 0.9018 +[2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] telephone : 0.3414 0.4585 +[2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] bucket : 0.2350 0.3899 +[2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] clock : 0.2488 0.3032 +[2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] light : 0.0527 0.0574 +[2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] laundry basket : 0.0723 0.0791 +[2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] pipe : 0.0579 0.0764 +[2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] clothes dryer : 0.5517 0.5584 +[2025-03-11 05:56:44,921 INFO hook.py line 689 2389709] guitar : 0.6815 0.8936 +[2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] toilet paper holder: 0.1123 0.2203 +[2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] column : 0.1333 0.1633 +[2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] ladder : 0.4977 0.6532 +[2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] bathroom stall : 0.3999 0.4373 +[2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] shower wall : 0.4324 0.5366 +[2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] cup : 0.1703 0.3001 +[2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] jacket : 0.2425 0.3152 +[2025-03-11 05:56:44,922 INFO hook.py line 689 2389709] storage bin : 0.0584 0.0776 +[2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] coffee maker : 0.7681 0.9595 +[2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] dishwasher : 0.2378 0.3258 +[2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] paper towel roll: 0.3114 0.3913 +[2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] mat : 0.1899 0.2023 +[2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] windowsill : 0.1132 0.1260 +[2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] bar : 0.1704 0.2556 +[2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] toaster : 0.3452 0.9117 +[2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] bulletin board : 0.2023 0.3262 +[2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] ironing board : 0.1638 0.1729 +[2025-03-11 05:56:44,923 INFO hook.py line 689 2389709] fireplace : 0.6579 0.6882 +[2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] soap dish : 0.3836 0.5289 +[2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] kitchen counter: 0.5605 0.6889 +[2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] doorframe : 0.4199 0.6665 +[2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4371 0.5206 +[2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] mini fridge : 0.2866 0.3211 +[2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] fire extinguisher: 0.2212 0.2563 +[2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] ball : 0.4974 0.6574 +[2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] shower curtain rod: 0.3531 0.9321 +[2025-03-11 05:56:44,924 INFO hook.py line 689 2389709] water cooler : 0.7955 0.9137 +[2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] paper cutter : 0.2716 0.3067 +[2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] tray : 0.0389 0.0680 +[2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] shower door : 0.2541 0.3222 +[2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] ledge : 0.0433 0.0612 +[2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] mouse : 0.0916 0.4737 +[2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6796 0.7837 +[2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 05:56:44,925 INFO hook.py line 689 2389709] cart : 0.2144 0.2492 +[2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] scale : 0.4344 0.9342 +[2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] tissue box : 0.1940 0.2461 +[2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] light switch : 0.0281 0.0687 +[2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] power outlet : 0.2879 0.4422 +[2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] decoration : 0.2439 0.2995 +[2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] projector : 0.0365 1.0000 +[2025-03-11 05:56:44,926 INFO hook.py line 689 2389709] closet door : 0.0629 0.0676 +[2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] vacuum cleaner : 0.9117 0.9795 +[2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] plunger : 0.4231 0.9778 +[2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] headphones : 0.0000 0.0000 +[2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] dish rack : 0.7736 0.9705 +[2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] broom : 0.0745 0.1170 +[2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] range hood : 0.7695 0.8804 +[2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] dustpan : 0.1358 0.2214 +[2025-03-11 05:56:44,927 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] handicap bar : 0.0382 0.4407 +[2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] vent : 0.0372 0.0393 +[2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] shower floor : 0.8760 0.9922 +[2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] mailbox : 0.4816 0.5261 +[2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] bowl : 0.0135 0.0179 +[2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] paper bag : 0.1379 0.1899 +[2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 05:56:44,928 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] divider : 0.3217 0.3396 +[2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] bathroom counter: 0.2116 0.2564 +[2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] object : 0.0467 0.0841 +[2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] bathroom vanity: 0.5190 0.8387 +[2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] closet wall : 0.0029 0.0037 +[2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] laundry hamper : 0.0681 0.0795 +[2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] bathroom stall door: 0.5968 0.7383 +[2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] ceiling light : 0.4411 0.5144 +[2025-03-11 05:56:44,929 INFO hook.py line 689 2389709] trash bin : 0.2596 0.3460 +[2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] dumbbell : 0.8316 0.9780 +[2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] stair rail : 0.0847 0.0990 +[2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] tube : 0.1145 0.1336 +[2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] bathroom cabinet: 0.3441 0.5177 +[2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] closet rod : 0.3803 0.6232 +[2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] coffee kettle : 0.5054 0.7490 +[2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] shower head : 0.3291 0.4037 +[2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 05:56:44,930 INFO hook.py line 689 2389709] case of water bottles: 0.1102 0.1109 +[2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] coat rack : 0.0329 0.0813 +[2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] fire alarm : 0.0693 0.5556 +[2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] calendar : 0.0328 0.1495 +[2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 05:56:44,931 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 05:56:44,932 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 05:56:44,932 INFO hook.py line 689 2389709] mattress : 0.0995 0.0997 +[2025-03-11 05:56:44,932 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 05:56:44,932 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3207/0.4178/0.8260. +[2025-03-11 05:56:44,933 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 05:56:44,955 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3257 +[2025-03-11 05:56:44,956 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 05:57:15,233 INFO hook.py line 566 2389709] Train: [84/100][50/300] Data 0.001 (0.003) Batch 0.518 (0.493) Remain 00:41:29 loss: 0.2854 Lr: 3.79223e-04 +[2025-03-11 05:57:39,693 INFO hook.py line 566 2389709] Train: [84/100][100/300] Data 0.002 (0.002) Batch 0.480 (0.491) Remain 00:40:55 loss: 0.3085 Lr: 3.71964e-04 +[2025-03-11 05:58:04,079 INFO hook.py line 566 2389709] Train: [84/100][150/300] Data 0.002 (0.002) Batch 0.515 (0.490) Remain 00:40:25 loss: 0.4171 Lr: 3.64770e-04 +[2025-03-11 05:58:28,492 INFO hook.py line 566 2389709] Train: [84/100][200/300] Data 0.002 (0.002) Batch 0.474 (0.489) Remain 00:39:58 loss: 0.4498 Lr: 3.57641e-04 +[2025-03-11 05:58:53,580 INFO hook.py line 566 2389709] Train: [84/100][250/300] Data 0.002 (0.002) Batch 0.550 (0.492) Remain 00:39:46 loss: 0.4361 Lr: 3.50576e-04 +[2025-03-11 05:59:17,351 INFO hook.py line 566 2389709] Train: [84/100][300/300] Data 0.002 (0.002) Batch 0.485 (0.489) Remain 00:39:08 loss: 0.3389 Lr: 3.43577e-04 +[2025-03-11 05:59:17,351 INFO misc.py line 135 2389709] Train result: loss: 0.4361 +[2025-03-11 05:59:17,449 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:00:05,177 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3556 +[2025-03-11 06:00:05,277 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2758 +[2025-03-11 06:00:05,319 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4369 +[2025-03-11 06:00:05,372 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3614 +[2025-03-11 06:00:05,412 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9208 +[2025-03-11 06:00:05,467 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2358 +[2025-03-11 06:00:05,519 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8204 +[2025-03-11 06:00:05,550 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.1481 +[2025-03-11 06:00:05,596 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2358 +[2025-03-11 06:00:05,635 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.3096 +[2025-03-11 06:00:05,683 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2061 +[2025-03-11 06:00:05,720 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.2638 +[2025-03-11 06:00:05,769 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.6356 +[2025-03-11 06:00:05,811 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5355 +[2025-03-11 06:00:05,847 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1775 +[2025-03-11 06:00:05,896 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0672 +[2025-03-11 06:00:05,935 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4927 +[2025-03-11 06:00:05,977 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1217 +[2025-03-11 06:00:06,023 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4991 +[2025-03-11 06:00:06,061 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6824 +[2025-03-11 06:00:06,100 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7208 +[2025-03-11 06:00:06,152 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8493 +[2025-03-11 06:00:06,185 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4934 +[2025-03-11 06:00:06,238 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9180 +[2025-03-11 06:00:06,280 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7602 +[2025-03-11 06:00:06,327 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.2335 +[2025-03-11 06:00:06,383 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0680 +[2025-03-11 06:00:06,423 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7469 +[2025-03-11 06:00:06,454 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1151 +[2025-03-11 06:00:06,508 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.8980 +[2025-03-11 06:00:06,569 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4159 +[2025-03-11 06:00:06,609 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6302 +[2025-03-11 06:00:06,667 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7579 +[2025-03-11 06:00:06,708 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3083 +[2025-03-11 06:00:06,752 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2807 +[2025-03-11 06:00:06,788 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6410 +[2025-03-11 06:00:06,841 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.6390 +[2025-03-11 06:00:06,872 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0267 +[2025-03-11 06:00:06,939 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0791 +[2025-03-11 06:00:06,987 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.2320 +[2025-03-11 06:00:07,031 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.2119 +[2025-03-11 06:00:07,060 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4176 +[2025-03-11 06:00:07,095 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2118 +[2025-03-11 06:00:07,153 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8744 +[2025-03-11 06:00:07,188 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9088 +[2025-03-11 06:00:07,236 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1694 +[2025-03-11 06:00:07,277 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8962 +[2025-03-11 06:00:07,310 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2223 +[2025-03-11 06:00:07,341 INFO hook.py line 748 2389709] Test: [49/78] Loss 2.1387 +[2025-03-11 06:00:07,374 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4754 +[2025-03-11 06:00:07,405 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2782 +[2025-03-11 06:00:07,439 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7665 +[2025-03-11 06:00:07,467 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3714 +[2025-03-11 06:00:07,506 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.6925 +[2025-03-11 06:00:07,544 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5830 +[2025-03-11 06:00:07,589 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8331 +[2025-03-11 06:00:07,621 INFO hook.py line 748 2389709] Test: [57/78] Loss 1.8133 +[2025-03-11 06:00:07,650 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7938 +[2025-03-11 06:00:07,688 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9566 +[2025-03-11 06:00:07,724 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3992 +[2025-03-11 06:00:07,751 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7529 +[2025-03-11 06:00:07,788 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9874 +[2025-03-11 06:00:07,825 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1514 +[2025-03-11 06:00:07,888 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.8180 +[2025-03-11 06:00:07,916 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4601 +[2025-03-11 06:00:07,959 INFO hook.py line 748 2389709] Test: [66/78] Loss 1.7957 +[2025-03-11 06:00:07,997 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9292 +[2025-03-11 06:00:08,034 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0109 +[2025-03-11 06:00:08,064 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3719 +[2025-03-11 06:00:08,125 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.7543 +[2025-03-11 06:00:08,173 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.6654 +[2025-03-11 06:00:08,228 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8227 +[2025-03-11 06:00:08,282 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7276 +[2025-03-11 06:00:08,325 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.9799 +[2025-03-11 06:00:08,376 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5789 +[2025-03-11 06:00:08,404 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.1410 +[2025-03-11 06:00:08,462 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5247 +[2025-03-11 06:00:08,488 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1853 +[2025-03-11 06:00:09,717 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:00:09,718 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:00:09,718 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] wall : 0.7931 0.9288 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] chair : 0.7273 0.8605 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] floor : 0.9581 0.9829 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] table : 0.6518 0.7901 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] door : 0.6806 0.8166 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] couch : 0.8140 0.9142 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] cabinet : 0.3600 0.5462 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] shelf : 0.4328 0.5886 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] desk : 0.5835 0.8015 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] office chair : 0.2132 0.3260 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] bed : 0.7848 0.8628 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] pillow : 0.5746 0.7796 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] sink : 0.6739 0.7670 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] picture : 0.3650 0.5191 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] window : 0.6044 0.7568 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] toilet : 0.9510 0.9689 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] bookshelf : 0.4750 0.6399 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] monitor : 0.8587 0.9195 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] curtain : 0.7122 0.8261 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] book : 0.4501 0.6953 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] armchair : 0.5187 0.6925 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] coffee table : 0.6267 0.7458 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] box : 0.3372 0.4420 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] refrigerator : 0.6869 0.7520 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] lamp : 0.6884 0.8095 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] kitchen cabinet: 0.6630 0.7461 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] towel : 0.5660 0.7286 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] clothes : 0.2173 0.4247 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] tv : 0.8938 0.9246 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] nightstand : 0.7040 0.8892 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] counter : 0.3294 0.5194 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] dresser : 0.4482 0.5493 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] stool : 0.5733 0.7420 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] plant : 0.7634 0.8893 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] ceiling : 0.9302 0.9660 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] bathtub : 0.8796 0.9100 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] end table : 0.2014 0.2914 +[2025-03-11 06:00:09,718 INFO hook.py line 689 2389709] dining table : 0.0325 0.0391 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] keyboard : 0.4020 0.5644 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] bag : 0.1863 0.2364 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] backpack : 0.6100 0.7369 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] toilet paper : 0.4828 0.6186 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] printer : 0.4883 0.6389 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] tv stand : 0.3854 0.4789 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] whiteboard : 0.5162 0.6972 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] blanket : 0.0542 0.0860 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] shower curtain : 0.7055 0.7721 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] trash can : 0.6517 0.8491 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] closet : 0.0982 0.1616 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] stairs : 0.5319 0.6818 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] microwave : 0.5889 0.7813 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] stove : 0.6515 0.8542 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] shoe : 0.5002 0.7067 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] computer tower : 0.5309 0.8526 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] bottle : 0.1091 0.2493 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] bin : 0.0005 0.0011 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] ottoman : 0.4147 0.4510 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] bench : 0.4215 0.4812 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] board : 0.1806 0.3057 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] washing machine: 0.8534 0.9485 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] mirror : 0.3916 0.4642 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] copier : 0.8896 0.9452 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] sofa chair : 0.1801 0.2699 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] file cabinet : 0.4538 0.6020 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] fan : 0.3596 0.4364 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] laptop : 0.5476 0.7735 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] shower : 0.2009 0.2041 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] paper : 0.0449 0.0590 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] person : 0.2998 0.5969 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] paper towel dispenser: 0.5755 0.8163 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] oven : 0.1261 0.1373 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] blinds : 0.0128 0.0141 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] blackboard : 0.5909 0.6552 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] piano : 0.5028 0.5893 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] suitcase : 0.6015 0.7268 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] rail : 0.0419 0.0450 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] radiator : 0.6535 0.7040 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] recycling bin : 0.5009 0.6459 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] container : 0.0031 0.0049 +[2025-03-11 06:00:09,719 INFO hook.py line 689 2389709] wardrobe : 0.2039 0.3165 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] soap dispenser : 0.8803 0.9107 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] telephone : 0.2859 0.3970 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] bucket : 0.2670 0.4188 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] clock : 0.2477 0.2914 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] light : 0.0638 0.0721 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] laundry basket : 0.0859 0.0990 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] pipe : 0.0445 0.0630 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] clothes dryer : 0.6281 0.6373 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] guitar : 0.6850 0.8618 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] toilet paper holder: 0.0418 0.1328 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] ladder : 0.4779 0.5382 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] bathroom stall : 0.4190 0.4608 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] shower wall : 0.4533 0.5803 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] cup : 0.1660 0.2786 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] jacket : 0.2265 0.3135 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] storage bin : 0.0583 0.0768 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] coffee maker : 0.7049 0.8749 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] dishwasher : 0.3176 0.4430 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] paper towel roll: 0.2593 0.3024 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] mat : 0.1129 0.1176 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] windowsill : 0.1784 0.2028 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] bar : 0.1580 0.2557 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] toaster : 0.4684 0.8113 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] bulletin board : 0.2351 0.3313 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] ironing board : 0.1301 0.1431 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] fireplace : 0.7087 0.7448 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] soap dish : 0.3891 0.5371 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] kitchen counter: 0.5851 0.7102 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] doorframe : 0.4458 0.6898 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4409 0.5590 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] mini fridge : 0.3502 0.3932 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] fire extinguisher: 0.2760 0.3874 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] ball : 0.5696 0.6272 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] shower curtain rod: 0.4093 0.8967 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] water cooler : 0.7676 0.9455 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] paper cutter : 0.2746 0.3114 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] tray : 0.1101 0.1456 +[2025-03-11 06:00:09,720 INFO hook.py line 689 2389709] shower door : 0.2008 0.2339 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] pillar : 0.0010 0.0010 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] ledge : 0.0409 0.0504 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] mouse : 0.1426 0.6323 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6595 0.7464 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] cart : 0.1297 0.1438 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] scale : 0.3503 0.9478 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] tissue box : 0.2248 0.2787 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] light switch : 0.0285 0.0491 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] power outlet : 0.2541 0.3775 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] decoration : 0.1633 0.2499 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] sign : 0.0005 0.0006 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] projector : 0.1248 1.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] closet door : 0.0555 0.0657 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] vacuum cleaner : 0.7813 0.9897 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] plunger : 0.4769 0.9778 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] headphones : 0.0262 0.0360 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] dish rack : 0.8215 0.9496 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] broom : 0.0544 0.0857 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] range hood : 0.7458 0.9016 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] dustpan : 0.1409 0.2567 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] handicap bar : 0.0065 0.0767 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] vent : 0.1920 0.2218 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] shower floor : 0.8792 0.9956 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] mailbox : 0.4428 0.4620 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] bowl : 0.1756 0.2227 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] paper bag : 0.0809 0.1345 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] divider : 0.4082 0.4401 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] bathroom counter: 0.2208 0.2728 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] object : 0.0495 0.0947 +[2025-03-11 06:00:09,721 INFO hook.py line 689 2389709] bathroom vanity: 0.5249 0.8078 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] closet wall : 0.0200 0.0293 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] laundry hamper : 0.0339 0.0367 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] bathroom stall door: 0.6253 0.7367 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] ceiling light : 0.3820 0.4867 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] trash bin : 0.2541 0.3141 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] dumbbell : 0.8184 0.9811 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] stair rail : 0.1067 0.1174 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] tube : 0.1376 0.1690 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] bathroom cabinet: 0.3968 0.4354 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] closet rod : 0.5140 0.8605 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] coffee kettle : 0.6151 0.6761 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] shower head : 0.2899 0.3886 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] case of water bottles: 0.1736 0.1746 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] coat rack : 0.0057 0.0192 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] fire alarm : 0.1507 0.5238 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:00:09,722 INFO hook.py line 689 2389709] mattress : 0.0396 0.0397 +[2025-03-11 06:00:09,722 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:00:09,722 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3258/0.4188/0.8264. +[2025-03-11 06:00:09,722 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:00:09,735 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3258 +[2025-03-11 06:00:09,735 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3258 +[2025-03-11 06:00:09,735 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:00:39,513 INFO hook.py line 566 2389709] Train: [85/100][50/300] Data 0.002 (0.002) Batch 0.514 (0.486) Remain 00:38:29 loss: 0.4339 Lr: 3.36644e-04 +[2025-03-11 06:01:04,235 INFO hook.py line 566 2389709] Train: [85/100][100/300] Data 0.002 (0.002) Batch 0.466 (0.490) Remain 00:38:25 loss: 0.2174 Lr: 3.29776e-04 +[2025-03-11 06:01:28,851 INFO hook.py line 566 2389709] Train: [85/100][150/300] Data 0.002 (0.002) Batch 0.535 (0.491) Remain 00:38:03 loss: 0.5889 Lr: 3.22975e-04 +[2025-03-11 06:01:53,240 INFO hook.py line 566 2389709] Train: [85/100][200/300] Data 0.002 (0.002) Batch 0.558 (0.490) Remain 00:37:35 loss: 0.4963 Lr: 3.16239e-04 +[2025-03-11 06:02:18,422 INFO hook.py line 566 2389709] Train: [85/100][250/300] Data 0.003 (0.002) Batch 0.511 (0.493) Remain 00:37:22 loss: 0.3661 Lr: 3.09570e-04 +[2025-03-11 06:02:42,954 INFO hook.py line 566 2389709] Train: [85/100][300/300] Data 0.002 (0.002) Batch 0.485 (0.493) Remain 00:36:56 loss: 0.3264 Lr: 3.02967e-04 +[2025-03-11 06:02:42,955 INFO misc.py line 135 2389709] Train result: loss: 0.4295 +[2025-03-11 06:02:43,071 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:03:32,309 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3674 +[2025-03-11 06:03:32,358 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.0665 +[2025-03-11 06:03:32,391 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4234 +[2025-03-11 06:03:32,442 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4181 +[2025-03-11 06:03:32,478 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.9189 +[2025-03-11 06:03:32,536 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2343 +[2025-03-11 06:03:32,597 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7728 +[2025-03-11 06:03:32,632 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2410 +[2025-03-11 06:03:32,690 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2018 +[2025-03-11 06:03:32,730 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1864 +[2025-03-11 06:03:32,784 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2009 +[2025-03-11 06:03:32,833 INFO hook.py line 748 2389709] Test: [12/78] Loss 0.9979 +[2025-03-11 06:03:32,882 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.8520 +[2025-03-11 06:03:32,923 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.2441 +[2025-03-11 06:03:32,960 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3383 +[2025-03-11 06:03:33,007 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0791 +[2025-03-11 06:03:33,048 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.3617 +[2025-03-11 06:03:33,094 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1316 +[2025-03-11 06:03:33,139 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5616 +[2025-03-11 06:03:33,173 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7748 +[2025-03-11 06:03:33,212 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7124 +[2025-03-11 06:03:33,260 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9453 +[2025-03-11 06:03:33,305 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4454 +[2025-03-11 06:03:33,357 INFO hook.py line 748 2389709] Test: [24/78] Loss 0.9839 +[2025-03-11 06:03:33,403 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.7357 +[2025-03-11 06:03:33,445 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5417 +[2025-03-11 06:03:33,510 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0888 +[2025-03-11 06:03:33,546 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.9326 +[2025-03-11 06:03:33,580 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1152 +[2025-03-11 06:03:33,638 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4547 +[2025-03-11 06:03:33,697 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3839 +[2025-03-11 06:03:33,733 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.7179 +[2025-03-11 06:03:33,790 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8303 +[2025-03-11 06:03:33,829 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.6187 +[2025-03-11 06:03:33,866 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3122 +[2025-03-11 06:03:33,912 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.4268 +[2025-03-11 06:03:33,950 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2035 +[2025-03-11 06:03:33,987 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9977 +[2025-03-11 06:03:34,054 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2713 +[2025-03-11 06:03:34,105 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4278 +[2025-03-11 06:03:34,151 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3571 +[2025-03-11 06:03:34,187 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4633 +[2025-03-11 06:03:34,226 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.4328 +[2025-03-11 06:03:34,284 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8114 +[2025-03-11 06:03:34,322 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7290 +[2025-03-11 06:03:34,374 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1264 +[2025-03-11 06:03:34,415 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8455 +[2025-03-11 06:03:34,450 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.1348 +[2025-03-11 06:03:34,485 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9476 +[2025-03-11 06:03:34,522 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.6309 +[2025-03-11 06:03:34,552 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0552 +[2025-03-11 06:03:34,588 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.8193 +[2025-03-11 06:03:34,616 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3245 +[2025-03-11 06:03:34,655 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2322 +[2025-03-11 06:03:34,696 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5264 +[2025-03-11 06:03:34,738 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0840 +[2025-03-11 06:03:34,775 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.5198 +[2025-03-11 06:03:34,805 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8668 +[2025-03-11 06:03:34,844 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8943 +[2025-03-11 06:03:34,880 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3262 +[2025-03-11 06:03:34,905 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8065 +[2025-03-11 06:03:34,941 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0000 +[2025-03-11 06:03:34,977 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0915 +[2025-03-11 06:03:35,034 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9108 +[2025-03-11 06:03:35,063 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4213 +[2025-03-11 06:03:35,110 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.4388 +[2025-03-11 06:03:35,150 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8630 +[2025-03-11 06:03:35,187 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1343 +[2025-03-11 06:03:35,222 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3809 +[2025-03-11 06:03:35,286 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1628 +[2025-03-11 06:03:35,331 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9770 +[2025-03-11 06:03:35,385 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9219 +[2025-03-11 06:03:35,439 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7862 +[2025-03-11 06:03:35,485 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.4364 +[2025-03-11 06:03:35,540 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6672 +[2025-03-11 06:03:35,573 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0290 +[2025-03-11 06:03:35,633 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4660 +[2025-03-11 06:03:35,660 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2528 +[2025-03-11 06:03:36,866 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:03:36,866 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:03:36,866 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:03:36,866 INFO hook.py line 689 2389709] wall : 0.8012 0.9279 +[2025-03-11 06:03:36,866 INFO hook.py line 689 2389709] chair : 0.7307 0.8477 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] floor : 0.9582 0.9815 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] table : 0.6445 0.7977 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] door : 0.6910 0.8107 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] couch : 0.7878 0.9327 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] cabinet : 0.3816 0.6024 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] shelf : 0.4102 0.5712 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] desk : 0.5826 0.7892 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] office chair : 0.1760 0.2730 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] bed : 0.8037 0.8834 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] pillow : 0.5893 0.7918 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] sink : 0.7016 0.8131 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] picture : 0.3822 0.5218 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] window : 0.6083 0.7708 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] toilet : 0.9457 0.9645 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] bookshelf : 0.4530 0.5944 +[2025-03-11 06:03:36,867 INFO hook.py line 689 2389709] monitor : 0.8644 0.9238 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] curtain : 0.7035 0.8600 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] book : 0.4547 0.7371 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] armchair : 0.5289 0.6705 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] coffee table : 0.6160 0.7807 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] box : 0.3103 0.4277 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] refrigerator : 0.6518 0.7698 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] lamp : 0.6486 0.8690 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] kitchen cabinet: 0.6642 0.7774 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] towel : 0.5149 0.6443 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] clothes : 0.1958 0.3673 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] tv : 0.8869 0.9221 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] nightstand : 0.7271 0.8978 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] counter : 0.2758 0.4424 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] dresser : 0.4183 0.5894 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] stool : 0.5979 0.7731 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] plant : 0.7418 0.8959 +[2025-03-11 06:03:36,868 INFO hook.py line 689 2389709] ceiling : 0.9299 0.9645 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] bathtub : 0.8762 0.9157 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] end table : 0.2628 0.4112 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] dining table : 0.0792 0.1075 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] keyboard : 0.4231 0.5463 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] bag : 0.1445 0.1918 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] backpack : 0.6168 0.7387 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] toilet paper : 0.5000 0.5889 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] printer : 0.4845 0.5928 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] tv stand : 0.3301 0.3971 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] whiteboard : 0.5247 0.7077 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] blanket : 0.0002 0.0002 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] shower curtain : 0.7006 0.7804 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] trash can : 0.6257 0.8436 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] closet : 0.1164 0.1588 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] stairs : 0.5600 0.6987 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] microwave : 0.5911 0.7348 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] stove : 0.6422 0.8187 +[2025-03-11 06:03:36,869 INFO hook.py line 689 2389709] shoe : 0.5269 0.7079 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] computer tower : 0.5668 0.8224 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] bottle : 0.1087 0.2268 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] bin : 0.0002 0.0003 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] ottoman : 0.3194 0.3477 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] bench : 0.3371 0.3652 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] board : 0.2109 0.2979 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] washing machine: 0.8382 0.9376 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] mirror : 0.3923 0.4666 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] copier : 0.8635 0.9484 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] sofa chair : 0.1481 0.2503 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] file cabinet : 0.4376 0.5562 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] fan : 0.3938 0.4514 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] laptop : 0.5517 0.6560 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] shower : 0.1626 0.1661 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] paper : 0.0488 0.0634 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] person : 0.2691 0.5694 +[2025-03-11 06:03:36,870 INFO hook.py line 689 2389709] paper towel dispenser: 0.5571 0.7294 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] oven : 0.1286 0.1419 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] blinds : 0.0056 0.0063 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] blackboard : 0.5995 0.6738 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] piano : 0.3600 0.5543 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] suitcase : 0.6561 0.7600 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] rail : 0.0532 0.0569 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] radiator : 0.6459 0.7209 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] recycling bin : 0.4778 0.6696 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] container : 0.0020 0.0038 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] wardrobe : 0.1682 0.2214 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] soap dispenser : 0.8485 0.9110 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] telephone : 0.3215 0.5253 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] bucket : 0.3199 0.4123 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] clock : 0.2277 0.2703 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:03:36,871 INFO hook.py line 689 2389709] light : 0.0644 0.0728 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] laundry basket : 0.0630 0.0790 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] pipe : 0.0354 0.0617 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] clothes dryer : 0.5206 0.5333 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] guitar : 0.5312 0.7412 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] toilet paper holder: 0.0178 0.0801 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] column : 0.1264 0.1948 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] ladder : 0.5224 0.5436 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] bathroom stall : 0.4345 0.5218 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] shower wall : 0.4835 0.6339 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] cup : 0.1778 0.3010 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] jacket : 0.2137 0.3127 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] storage bin : 0.0000 0.0000 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] coffee maker : 0.6703 0.9806 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] dishwasher : 0.2370 0.4602 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] paper towel roll: 0.3217 0.4139 +[2025-03-11 06:03:36,872 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] mat : 0.0781 0.0812 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] windowsill : 0.0846 0.0935 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] bar : 0.2093 0.3418 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] toaster : 0.4149 0.8243 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] bulletin board : 0.2157 0.3319 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] ironing board : 0.0956 0.1025 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] fireplace : 0.6431 0.6689 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] soap dish : 0.3785 0.5179 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] kitchen counter: 0.5301 0.6596 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] doorframe : 0.4285 0.6937 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4074 0.4728 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] mini fridge : 0.3378 0.3579 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] fire extinguisher: 0.2834 0.3386 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] ball : 0.3875 0.7587 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] shower curtain rod: 0.3545 0.9115 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] water cooler : 0.7040 0.8323 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] paper cutter : 0.2692 0.3370 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] tray : 0.1142 0.1442 +[2025-03-11 06:03:36,873 INFO hook.py line 689 2389709] shower door : 0.1811 0.2760 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] pillar : 0.0007 0.0008 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] ledge : 0.0394 0.0538 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] mouse : 0.0813 0.3929 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7528 0.8914 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] cart : 0.1194 0.1286 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] scale : 0.3815 0.9439 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] tissue box : 0.2334 0.2999 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] light switch : 0.0323 0.0898 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] power outlet : 0.2303 0.3960 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] decoration : 0.1655 0.1981 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] projector : 0.0644 1.0000 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] closet door : 0.0390 0.0425 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] vacuum cleaner : 0.8595 0.9868 +[2025-03-11 06:03:36,874 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] plunger : 0.5203 0.9840 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] headphones : 0.0140 0.0191 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] dish rack : 0.7516 0.9594 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] broom : 0.1161 0.1493 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] range hood : 0.7706 0.8911 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] dustpan : 0.1391 0.2707 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] handicap bar : 0.0305 0.3003 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] vent : 0.0731 0.0743 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] shower floor : 0.8830 0.9978 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] mailbox : 0.4901 0.5028 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] bowl : 0.1276 0.1676 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] paper bag : 0.0614 0.1253 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:03:36,875 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] divider : 0.3841 0.4085 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] bathroom counter: 0.2528 0.3316 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] object : 0.0456 0.0858 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] bathroom vanity: 0.5444 0.7788 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] closet wall : 0.0071 0.0098 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] laundry hamper : 0.0254 0.0298 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] bathroom stall door: 0.6010 0.6721 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] ceiling light : 0.3876 0.4705 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] trash bin : 0.1618 0.2060 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] dumbbell : 0.7241 0.9783 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] stair rail : 0.1099 0.1174 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] tube : 0.1263 0.1626 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] bathroom cabinet: 0.5902 0.7377 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] closet rod : 0.5682 0.8683 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] coffee kettle : 0.4000 0.5691 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] shower head : 0.3002 0.3862 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:03:36,876 INFO hook.py line 689 2389709] case of water bottles: 0.1309 0.1311 +[2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] coat rack : 0.0128 0.0413 +[2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] fire alarm : 0.0053 0.0222 +[2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] poster : 0.0004 0.0005 +[2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:03:36,877 INFO hook.py line 689 2389709] mattress : 0.0244 0.0247 +[2025-03-11 06:03:36,877 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:03:36,877 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3166/0.4124/0.8255. +[2025-03-11 06:03:36,878 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:03:36,898 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3258 +[2025-03-11 06:03:36,899 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:04:07,810 INFO hook.py line 566 2389709] Train: [86/100][50/300] Data 0.003 (0.003) Batch 0.507 (0.497) Remain 00:36:52 loss: 0.3844 Lr: 2.96431e-04 +[2025-03-11 06:04:32,645 INFO hook.py line 566 2389709] Train: [86/100][100/300] Data 0.002 (0.002) Batch 0.504 (0.497) Remain 00:36:26 loss: 0.4701 Lr: 2.89962e-04 +[2025-03-11 06:04:57,930 INFO hook.py line 566 2389709] Train: [86/100][150/300] Data 0.002 (0.002) Batch 0.496 (0.500) Remain 00:36:14 loss: 0.2429 Lr: 2.83560e-04 +[2025-03-11 06:05:22,788 INFO hook.py line 566 2389709] Train: [86/100][200/300] Data 0.002 (0.002) Batch 0.452 (0.499) Remain 00:35:46 loss: 0.4293 Lr: 2.77225e-04 +[2025-03-11 06:05:47,089 INFO hook.py line 566 2389709] Train: [86/100][250/300] Data 0.002 (0.002) Batch 0.428 (0.497) Remain 00:35:10 loss: 0.3849 Lr: 2.70958e-04 +[2025-03-11 06:06:11,086 INFO hook.py line 566 2389709] Train: [86/100][300/300] Data 0.001 (0.002) Batch 0.406 (0.494) Remain 00:34:33 loss: 0.3190 Lr: 2.64759e-04 +[2025-03-11 06:06:11,087 INFO misc.py line 135 2389709] Train result: loss: 0.4187 +[2025-03-11 06:06:11,185 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:07:04,885 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3516 +[2025-03-11 06:07:04,933 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3951 +[2025-03-11 06:07:04,966 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4437 +[2025-03-11 06:07:05,021 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4176 +[2025-03-11 06:07:05,054 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8178 +[2025-03-11 06:07:05,112 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2451 +[2025-03-11 06:07:05,164 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.6624 +[2025-03-11 06:07:05,193 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2434 +[2025-03-11 06:07:05,259 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2469 +[2025-03-11 06:07:05,300 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.0346 +[2025-03-11 06:07:05,357 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1668 +[2025-03-11 06:07:05,390 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1562 +[2025-03-11 06:07:05,441 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1570 +[2025-03-11 06:07:05,479 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.6829 +[2025-03-11 06:07:05,520 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.0832 +[2025-03-11 06:07:05,569 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0667 +[2025-03-11 06:07:05,611 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5102 +[2025-03-11 06:07:05,649 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0352 +[2025-03-11 06:07:05,700 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4861 +[2025-03-11 06:07:05,734 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8008 +[2025-03-11 06:07:05,774 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6835 +[2025-03-11 06:07:05,821 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0704 +[2025-03-11 06:07:05,859 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.7162 +[2025-03-11 06:07:05,910 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.2638 +[2025-03-11 06:07:05,951 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5784 +[2025-03-11 06:07:05,995 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5872 +[2025-03-11 06:07:06,050 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.1372 +[2025-03-11 06:07:06,091 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7846 +[2025-03-11 06:07:06,122 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1421 +[2025-03-11 06:07:06,179 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6835 +[2025-03-11 06:07:06,241 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4194 +[2025-03-11 06:07:06,279 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.4984 +[2025-03-11 06:07:06,336 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8164 +[2025-03-11 06:07:06,375 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2578 +[2025-03-11 06:07:06,411 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3033 +[2025-03-11 06:07:06,452 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5207 +[2025-03-11 06:07:06,490 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2139 +[2025-03-11 06:07:06,528 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9570 +[2025-03-11 06:07:06,594 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0325 +[2025-03-11 06:07:06,645 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4086 +[2025-03-11 06:07:06,690 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5113 +[2025-03-11 06:07:06,730 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4179 +[2025-03-11 06:07:06,767 INFO hook.py line 748 2389709] Test: [43/78] Loss 0.7985 +[2025-03-11 06:07:06,832 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8597 +[2025-03-11 06:07:06,876 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.9326 +[2025-03-11 06:07:06,928 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2061 +[2025-03-11 06:07:06,966 INFO hook.py line 748 2389709] Test: [47/78] Loss 2.0517 +[2025-03-11 06:07:07,000 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0162 +[2025-03-11 06:07:07,032 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7847 +[2025-03-11 06:07:07,066 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4409 +[2025-03-11 06:07:07,096 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0870 +[2025-03-11 06:07:07,130 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7611 +[2025-03-11 06:07:07,156 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4528 +[2025-03-11 06:07:07,192 INFO hook.py line 748 2389709] Test: [54/78] Loss 2.8561 +[2025-03-11 06:07:07,231 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.5903 +[2025-03-11 06:07:07,272 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9690 +[2025-03-11 06:07:07,306 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.6622 +[2025-03-11 06:07:07,332 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8260 +[2025-03-11 06:07:07,371 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9718 +[2025-03-11 06:07:07,407 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4097 +[2025-03-11 06:07:07,431 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7304 +[2025-03-11 06:07:07,466 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.8799 +[2025-03-11 06:07:07,503 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0900 +[2025-03-11 06:07:07,561 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9521 +[2025-03-11 06:07:07,589 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4271 +[2025-03-11 06:07:07,633 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.5292 +[2025-03-11 06:07:07,673 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9017 +[2025-03-11 06:07:07,708 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1152 +[2025-03-11 06:07:07,740 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3884 +[2025-03-11 06:07:07,802 INFO hook.py line 748 2389709] Test: [70/78] Loss 0.9920 +[2025-03-11 06:07:07,846 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7932 +[2025-03-11 06:07:07,900 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.5056 +[2025-03-11 06:07:07,954 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6553 +[2025-03-11 06:07:07,998 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.5909 +[2025-03-11 06:07:08,050 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5987 +[2025-03-11 06:07:08,079 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9619 +[2025-03-11 06:07:08,138 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5597 +[2025-03-11 06:07:08,165 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3030 +[2025-03-11 06:07:09,456 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:07:09,456 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:07:09,456 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:07:09,456 INFO hook.py line 689 2389709] wall : 0.8020 0.9286 +[2025-03-11 06:07:09,456 INFO hook.py line 689 2389709] chair : 0.7385 0.8622 +[2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] floor : 0.9595 0.9836 +[2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] table : 0.6431 0.7878 +[2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] door : 0.6779 0.8043 +[2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] couch : 0.8109 0.9215 +[2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] cabinet : 0.3794 0.5733 +[2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] shelf : 0.3873 0.5135 +[2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] desk : 0.5811 0.7803 +[2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] office chair : 0.2417 0.3610 +[2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] bed : 0.8020 0.8816 +[2025-03-11 06:07:09,457 INFO hook.py line 689 2389709] pillow : 0.5763 0.8004 +[2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] sink : 0.6764 0.7716 +[2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] picture : 0.3890 0.5331 +[2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] window : 0.6171 0.7945 +[2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] toilet : 0.9455 0.9708 +[2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] bookshelf : 0.4652 0.6636 +[2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] monitor : 0.8664 0.9183 +[2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] curtain : 0.7037 0.8542 +[2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] book : 0.4471 0.6986 +[2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] armchair : 0.5602 0.7784 +[2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] coffee table : 0.6152 0.7168 +[2025-03-11 06:07:09,458 INFO hook.py line 689 2389709] box : 0.3421 0.4540 +[2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] refrigerator : 0.6984 0.7378 +[2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] lamp : 0.6722 0.8131 +[2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] kitchen cabinet: 0.7043 0.7980 +[2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] towel : 0.5084 0.6308 +[2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] clothes : 0.1956 0.3925 +[2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] tv : 0.8846 0.9167 +[2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] nightstand : 0.6789 0.9071 +[2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] counter : 0.3115 0.4709 +[2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] dresser : 0.4644 0.6203 +[2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] stool : 0.5173 0.8092 +[2025-03-11 06:07:09,459 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] plant : 0.7451 0.9068 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] ceiling : 0.9297 0.9601 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] bathtub : 0.8806 0.9124 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] end table : 0.2671 0.4586 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] dining table : 0.0220 0.0275 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] keyboard : 0.4129 0.5305 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] bag : 0.2278 0.2846 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] backpack : 0.6161 0.7295 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] toilet paper : 0.5040 0.6105 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] printer : 0.4551 0.5794 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] tv stand : 0.3411 0.4280 +[2025-03-11 06:07:09,460 INFO hook.py line 689 2389709] whiteboard : 0.5067 0.6842 +[2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] blanket : 0.0144 0.0198 +[2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] shower curtain : 0.6893 0.7570 +[2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] trash can : 0.6589 0.8251 +[2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] closet : 0.1266 0.1857 +[2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] stairs : 0.4360 0.6996 +[2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] microwave : 0.5870 0.7328 +[2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] stove : 0.6570 0.8618 +[2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] shoe : 0.5381 0.6709 +[2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] computer tower : 0.5732 0.8047 +[2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] bottle : 0.1223 0.2746 +[2025-03-11 06:07:09,461 INFO hook.py line 689 2389709] bin : 0.0084 0.0157 +[2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] ottoman : 0.4579 0.4847 +[2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] bench : 0.4245 0.5027 +[2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] board : 0.2249 0.3434 +[2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] washing machine: 0.8461 0.9528 +[2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] mirror : 0.3930 0.4732 +[2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] copier : 0.8631 0.9492 +[2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] sofa chair : 0.1155 0.1458 +[2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] file cabinet : 0.4559 0.5811 +[2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] fan : 0.3692 0.4423 +[2025-03-11 06:07:09,462 INFO hook.py line 689 2389709] laptop : 0.5227 0.7409 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] shower : 0.2510 0.2618 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] paper : 0.0594 0.0820 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] person : 0.2479 0.5806 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] paper towel dispenser: 0.6029 0.8271 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] oven : 0.1794 0.2146 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] blinds : 0.0004 0.0005 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] plate : 0.0334 0.0453 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] blackboard : 0.5840 0.6845 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] piano : 0.4222 0.5397 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] suitcase : 0.6027 0.8317 +[2025-03-11 06:07:09,463 INFO hook.py line 689 2389709] rail : 0.0310 0.0333 +[2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] radiator : 0.6607 0.7218 +[2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] recycling bin : 0.4813 0.6732 +[2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] container : 0.0064 0.0130 +[2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] wardrobe : 0.1369 0.1929 +[2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] soap dispenser : 0.8379 0.9183 +[2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] telephone : 0.3178 0.4183 +[2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] bucket : 0.3369 0.6415 +[2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] clock : 0.2243 0.2533 +[2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] light : 0.0692 0.0757 +[2025-03-11 06:07:09,464 INFO hook.py line 689 2389709] laundry basket : 0.0271 0.0353 +[2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] pipe : 0.0374 0.0594 +[2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] clothes dryer : 0.6941 0.7169 +[2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] guitar : 0.6994 0.7904 +[2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] toilet paper holder: 0.0471 0.1705 +[2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] column : 0.0008 0.0008 +[2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] ladder : 0.5658 0.6021 +[2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] bathroom stall : 0.4190 0.4819 +[2025-03-11 06:07:09,465 INFO hook.py line 689 2389709] shower wall : 0.4477 0.5524 +[2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] cup : 0.1891 0.3906 +[2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] jacket : 0.2196 0.2934 +[2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] storage bin : 0.0220 0.0268 +[2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] coffee maker : 0.5944 0.7783 +[2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] dishwasher : 0.2976 0.3737 +[2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] paper towel roll: 0.3301 0.4184 +[2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] mat : 0.1670 0.1778 +[2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] windowsill : 0.1211 0.1325 +[2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] bar : 0.1485 0.2178 +[2025-03-11 06:07:09,466 INFO hook.py line 689 2389709] toaster : 0.3333 0.9072 +[2025-03-11 06:07:09,467 INFO hook.py line 689 2389709] bulletin board : 0.2671 0.5374 +[2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] ironing board : 0.1025 0.1081 +[2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] fireplace : 0.6287 0.6596 +[2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] soap dish : 0.3756 0.5368 +[2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] kitchen counter: 0.5643 0.7077 +[2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] doorframe : 0.4392 0.6668 +[2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4308 0.5402 +[2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] mini fridge : 0.3955 0.4834 +[2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] fire extinguisher: 0.2605 0.2792 +[2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] ball : 0.7047 0.8800 +[2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:07:09,468 INFO hook.py line 689 2389709] shower curtain rod: 0.4467 0.9314 +[2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] water cooler : 0.6065 0.7777 +[2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] paper cutter : 0.3092 0.3632 +[2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] tray : 0.1104 0.1493 +[2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] shower door : 0.2559 0.3063 +[2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] pillar : 0.0006 0.0006 +[2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] ledge : 0.0469 0.0665 +[2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] toaster oven : 0.0008 0.0009 +[2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] mouse : 0.1044 0.5546 +[2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7245 0.8154 +[2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:07:09,469 INFO hook.py line 689 2389709] cart : 0.1634 0.1885 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] scale : 0.3907 0.9545 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] tissue box : 0.2552 0.3816 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] light switch : 0.0369 0.0935 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] power outlet : 0.2812 0.3413 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] decoration : 0.3322 0.4928 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] projector : 0.0651 1.0000 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] closet door : 0.0768 0.0857 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] vacuum cleaner : 0.8603 0.9806 +[2025-03-11 06:07:09,470 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] plunger : 0.5116 0.9748 +[2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] headphones : 0.0082 0.0105 +[2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] dish rack : 0.7719 0.9685 +[2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] broom : 0.0369 0.0434 +[2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] range hood : 0.7425 0.9072 +[2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] dustpan : 0.1191 0.3626 +[2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] hair dryer : 0.0023 0.0040 +[2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:07:09,471 INFO hook.py line 689 2389709] handicap bar : 0.0287 0.4253 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] vent : 0.2061 0.2138 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] shower floor : 0.8625 0.9978 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] mailbox : 0.4490 0.4634 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] bowl : 0.0696 0.0893 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] paper bag : 0.0964 0.1306 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] divider : 0.5186 0.5845 +[2025-03-11 06:07:09,472 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] bathroom counter: 0.2520 0.2898 +[2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] object : 0.0378 0.0594 +[2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] bathroom vanity: 0.5327 0.8483 +[2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] closet wall : 0.0233 0.0306 +[2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] laundry hamper : 0.0151 0.0164 +[2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] bathroom stall door: 0.5962 0.6680 +[2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] ceiling light : 0.3761 0.5518 +[2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] trash bin : 0.2533 0.3360 +[2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] dumbbell : 0.7706 0.9778 +[2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] stair rail : 0.1159 0.1357 +[2025-03-11 06:07:09,473 INFO hook.py line 689 2389709] tube : 0.1189 0.1402 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] bathroom cabinet: 0.4487 0.5160 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] closet rod : 0.4858 0.8305 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] coffee kettle : 0.5456 0.7209 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] shower head : 0.2925 0.3536 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] case of water bottles: 0.0937 0.0941 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] coat rack : 0.0028 0.0096 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:07:09,474 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:07:09,475 INFO hook.py line 689 2389709] mattress : 0.0439 0.0439 +[2025-03-11 06:07:09,475 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:07:09,475 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3248/0.4242/0.8285. +[2025-03-11 06:07:09,476 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:07:09,483 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3258 +[2025-03-11 06:07:09,483 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:07:39,695 INFO hook.py line 566 2389709] Train: [87/100][50/300] Data 0.001 (0.002) Batch 0.463 (0.491) Remain 00:33:57 loss: 0.3045 Lr: 2.58628e-04 +[2025-03-11 06:08:03,760 INFO hook.py line 566 2389709] Train: [87/100][100/300] Data 0.002 (0.002) Batch 0.468 (0.486) Remain 00:33:12 loss: 0.3916 Lr: 2.52564e-04 +[2025-03-11 06:08:28,437 INFO hook.py line 566 2389709] Train: [87/100][150/300] Data 0.002 (0.002) Batch 0.432 (0.489) Remain 00:32:58 loss: 0.4397 Lr: 2.46569e-04 +[2025-03-11 06:08:53,143 INFO hook.py line 566 2389709] Train: [87/100][200/300] Data 0.003 (0.002) Batch 0.457 (0.490) Remain 00:32:39 loss: 0.4219 Lr: 2.40643e-04 +[2025-03-11 06:09:17,943 INFO hook.py line 566 2389709] Train: [87/100][250/300] Data 0.002 (0.002) Batch 0.516 (0.491) Remain 00:32:20 loss: 0.5516 Lr: 2.34785e-04 +[2025-03-11 06:09:42,397 INFO hook.py line 566 2389709] Train: [87/100][300/300] Data 0.002 (0.002) Batch 0.512 (0.491) Remain 00:31:54 loss: 0.4103 Lr: 2.28996e-04 +[2025-03-11 06:09:42,398 INFO misc.py line 135 2389709] Train result: loss: 0.4274 +[2025-03-11 06:09:42,483 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:10:36,348 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2527 +[2025-03-11 06:10:36,394 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3263 +[2025-03-11 06:10:36,426 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4202 +[2025-03-11 06:10:36,477 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.3788 +[2025-03-11 06:10:36,511 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8581 +[2025-03-11 06:10:36,568 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2068 +[2025-03-11 06:10:36,620 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7400 +[2025-03-11 06:10:36,651 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3303 +[2025-03-11 06:10:36,696 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.3018 +[2025-03-11 06:10:36,736 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1142 +[2025-03-11 06:10:36,789 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1894 +[2025-03-11 06:10:36,829 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.1710 +[2025-03-11 06:10:36,877 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.7116 +[2025-03-11 06:10:36,918 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4831 +[2025-03-11 06:10:36,958 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2598 +[2025-03-11 06:10:37,005 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0722 +[2025-03-11 06:10:37,053 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4430 +[2025-03-11 06:10:37,092 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.2195 +[2025-03-11 06:10:37,142 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4891 +[2025-03-11 06:10:37,196 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7321 +[2025-03-11 06:10:37,236 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6624 +[2025-03-11 06:10:37,282 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8744 +[2025-03-11 06:10:37,317 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5518 +[2025-03-11 06:10:37,373 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0543 +[2025-03-11 06:10:37,415 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4812 +[2025-03-11 06:10:37,457 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4229 +[2025-03-11 06:10:37,514 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9491 +[2025-03-11 06:10:37,558 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7949 +[2025-03-11 06:10:37,594 INFO hook.py line 748 2389709] Test: [29/78] Loss 0.9899 +[2025-03-11 06:10:37,649 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5645 +[2025-03-11 06:10:37,709 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4144 +[2025-03-11 06:10:37,748 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6891 +[2025-03-11 06:10:37,805 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.8351 +[2025-03-11 06:10:37,845 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.4418 +[2025-03-11 06:10:37,882 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2814 +[2025-03-11 06:10:37,920 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.5630 +[2025-03-11 06:10:37,964 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2872 +[2025-03-11 06:10:37,998 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0166 +[2025-03-11 06:10:38,069 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3016 +[2025-03-11 06:10:38,122 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.5826 +[2025-03-11 06:10:38,171 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.5423 +[2025-03-11 06:10:38,203 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4450 +[2025-03-11 06:10:38,238 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3181 +[2025-03-11 06:10:38,299 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8491 +[2025-03-11 06:10:38,335 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.1857 +[2025-03-11 06:10:38,391 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1930 +[2025-03-11 06:10:38,433 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8653 +[2025-03-11 06:10:38,471 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.2010 +[2025-03-11 06:10:38,505 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8980 +[2025-03-11 06:10:38,538 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.1319 +[2025-03-11 06:10:38,573 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3032 +[2025-03-11 06:10:38,613 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7139 +[2025-03-11 06:10:38,645 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4265 +[2025-03-11 06:10:38,680 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.6069 +[2025-03-11 06:10:38,721 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.3800 +[2025-03-11 06:10:38,762 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8844 +[2025-03-11 06:10:38,799 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.6196 +[2025-03-11 06:10:38,826 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7927 +[2025-03-11 06:10:38,867 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9291 +[2025-03-11 06:10:38,909 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.3706 +[2025-03-11 06:10:38,938 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8613 +[2025-03-11 06:10:38,978 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9884 +[2025-03-11 06:10:39,020 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2236 +[2025-03-11 06:10:39,079 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0535 +[2025-03-11 06:10:39,111 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4799 +[2025-03-11 06:10:39,155 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2853 +[2025-03-11 06:10:39,198 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9323 +[2025-03-11 06:10:39,239 INFO hook.py line 748 2389709] Test: [68/78] Loss 1.9817 +[2025-03-11 06:10:39,272 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3966 +[2025-03-11 06:10:39,333 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.4280 +[2025-03-11 06:10:39,377 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7721 +[2025-03-11 06:10:39,434 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9137 +[2025-03-11 06:10:39,492 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7327 +[2025-03-11 06:10:39,536 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8860 +[2025-03-11 06:10:39,588 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5755 +[2025-03-11 06:10:39,617 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0641 +[2025-03-11 06:10:39,679 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4833 +[2025-03-11 06:10:39,709 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2902 +[2025-03-11 06:10:41,045 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:10:41,046 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:10:41,046 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:10:41,046 INFO hook.py line 689 2389709] wall : 0.8003 0.9295 +[2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] chair : 0.7296 0.8500 +[2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] floor : 0.9601 0.9831 +[2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] table : 0.6409 0.7852 +[2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] door : 0.6688 0.7860 +[2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] couch : 0.7901 0.9265 +[2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] cabinet : 0.3777 0.5857 +[2025-03-11 06:10:41,047 INFO hook.py line 689 2389709] shelf : 0.3994 0.5606 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] desk : 0.5827 0.8024 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] office chair : 0.2138 0.3484 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] bed : 0.7969 0.8832 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] pillow : 0.5676 0.7973 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] sink : 0.6849 0.8060 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] picture : 0.3926 0.5183 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] window : 0.5955 0.7576 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] toilet : 0.9500 0.9721 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] bookshelf : 0.4707 0.6346 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] monitor : 0.8507 0.9214 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] curtain : 0.7231 0.8547 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] book : 0.4544 0.7064 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] armchair : 0.5212 0.6769 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] coffee table : 0.6468 0.7645 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] box : 0.3184 0.4101 +[2025-03-11 06:10:41,048 INFO hook.py line 689 2389709] refrigerator : 0.6574 0.6928 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] lamp : 0.6746 0.8326 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] kitchen cabinet: 0.6893 0.7986 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] towel : 0.5400 0.6967 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] clothes : 0.2060 0.3771 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] tv : 0.8641 0.9252 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] nightstand : 0.6789 0.8993 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] counter : 0.3147 0.4954 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] dresser : 0.4462 0.6330 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] stool : 0.6019 0.7855 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] plant : 0.7520 0.8955 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] ceiling : 0.9306 0.9676 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] bathtub : 0.8730 0.9213 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] end table : 0.2589 0.4016 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] dining table : 0.0589 0.0800 +[2025-03-11 06:10:41,049 INFO hook.py line 689 2389709] keyboard : 0.4352 0.5679 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] bag : 0.2227 0.3256 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] backpack : 0.6175 0.7195 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] toilet paper : 0.4862 0.6027 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] printer : 0.4702 0.5807 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] tv stand : 0.3305 0.4113 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] whiteboard : 0.5333 0.6828 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] blanket : 0.0320 0.0489 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] shower curtain : 0.6896 0.7689 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] trash can : 0.6473 0.8356 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] closet : 0.1188 0.1594 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] stairs : 0.4359 0.6960 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] microwave : 0.6034 0.7513 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] stove : 0.6559 0.8405 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] shoe : 0.5213 0.6773 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] computer tower : 0.5851 0.7939 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] bottle : 0.1530 0.2952 +[2025-03-11 06:10:41,050 INFO hook.py line 689 2389709] bin : 0.0007 0.0011 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] ottoman : 0.3917 0.4287 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] bench : 0.3807 0.4567 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] board : 0.1805 0.3079 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] washing machine: 0.8379 0.9362 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] mirror : 0.3882 0.4786 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] copier : 0.8581 0.9513 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] sofa chair : 0.1596 0.2784 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] file cabinet : 0.4303 0.5321 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] fan : 0.3795 0.4342 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] laptop : 0.5270 0.7371 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] shower : 0.2170 0.2356 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] paper : 0.0584 0.0837 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] person : 0.2958 0.6125 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] paper towel dispenser: 0.5787 0.8163 +[2025-03-11 06:10:41,051 INFO hook.py line 689 2389709] oven : 0.1404 0.1657 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] blinds : 0.0003 0.0003 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] blackboard : 0.6235 0.6770 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] piano : 0.3594 0.5538 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] suitcase : 0.6041 0.7446 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] rail : 0.0399 0.0427 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] radiator : 0.6977 0.7851 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] recycling bin : 0.4921 0.6586 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] container : 0.0206 0.0433 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] wardrobe : 0.1119 0.1519 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] soap dispenser : 0.8568 0.9110 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] telephone : 0.2960 0.3624 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] bucket : 0.3608 0.4451 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] clock : 0.2561 0.2921 +[2025-03-11 06:10:41,052 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] light : 0.0554 0.0638 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] laundry basket : 0.0348 0.0393 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] pipe : 0.0488 0.0858 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] clothes dryer : 0.5962 0.6064 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] guitar : 0.6446 0.7264 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] toilet paper holder: 0.0618 0.1809 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] column : 0.1257 0.1716 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] ladder : 0.5198 0.5827 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] bathroom stall : 0.4377 0.4867 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] shower wall : 0.4763 0.6210 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] cup : 0.1832 0.3194 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] jacket : 0.2112 0.2881 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] storage bin : 0.0092 0.0113 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] coffee maker : 0.7887 0.9796 +[2025-03-11 06:10:41,053 INFO hook.py line 689 2389709] dishwasher : 0.2599 0.3758 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] paper towel roll: 0.3123 0.3941 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] mat : 0.2939 0.3312 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] windowsill : 0.1135 0.1255 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] bar : 0.1679 0.2534 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] toaster : 0.3814 0.8377 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] bulletin board : 0.2557 0.3604 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] ironing board : 0.1931 0.2166 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] fireplace : 0.5918 0.6137 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] soap dish : 0.3733 0.5077 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] kitchen counter: 0.5331 0.6490 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] doorframe : 0.4312 0.6931 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4020 0.4844 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] mini fridge : 0.3455 0.3595 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] fire extinguisher: 0.2342 0.2536 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] ball : 0.6021 0.8000 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:10:41,054 INFO hook.py line 689 2389709] shower curtain rod: 0.3848 0.9198 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] water cooler : 0.6436 0.7335 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] paper cutter : 0.2570 0.2966 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] tray : 0.0707 0.1096 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] shower door : 0.2100 0.3075 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] pillar : 0.0003 0.0003 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] ledge : 0.0520 0.0680 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] mouse : 0.1315 0.4781 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7379 0.8040 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] cart : 0.0970 0.1092 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] scale : 0.4353 0.9415 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] tissue box : 0.2664 0.3192 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] light switch : 0.0273 0.0717 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] power outlet : 0.2904 0.3667 +[2025-03-11 06:10:41,055 INFO hook.py line 689 2389709] decoration : 0.3112 0.4221 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] projector : 0.0678 1.0000 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] closet door : 0.1457 0.1663 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] vacuum cleaner : 0.8645 0.9770 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] plunger : 0.5534 0.9842 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] headphones : 0.0193 0.0294 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] dish rack : 0.8086 0.9660 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] broom : 0.1218 0.1771 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] range hood : 0.7686 0.9092 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] dustpan : 0.0495 0.1139 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] handicap bar : 0.0252 0.3304 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:10:41,056 INFO hook.py line 689 2389709] vent : 0.0816 0.0962 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] shower floor : 0.8821 0.9961 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] mailbox : 0.4212 0.4334 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] bowl : 0.1483 0.1648 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] paper bag : 0.0637 0.1089 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] projector screen: 0.0005 0.0005 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] divider : 0.4406 0.4902 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] bathroom counter: 0.1987 0.2584 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] object : 0.0433 0.0683 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] bathroom vanity: 0.5398 0.7940 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] closet wall : 0.0371 0.0508 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] laundry hamper : 0.0162 0.0180 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] bathroom stall door: 0.5984 0.7558 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] ceiling light : 0.4187 0.5346 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] trash bin : 0.2269 0.2928 +[2025-03-11 06:10:41,057 INFO hook.py line 689 2389709] dumbbell : 0.7696 0.9752 +[2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] stair rail : 0.1288 0.1441 +[2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] tube : 0.0954 0.1243 +[2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] bathroom cabinet: 0.4952 0.7415 +[2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] closet rod : 0.5717 0.8724 +[2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] coffee kettle : 0.4171 0.4727 +[2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] shower head : 0.3132 0.3910 +[2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] case of water bottles: 0.1700 0.1723 +[2025-03-11 06:10:41,058 INFO hook.py line 689 2389709] coat rack : 0.0015 0.0048 +[2025-03-11 06:10:41,059 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:10:41,059 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:10:41,059 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:10:41,060 INFO hook.py line 689 2389709] mattress : 0.0199 0.0200 +[2025-03-11 06:10:41,060 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:10:41,060 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3244/0.4177/0.8263. +[2025-03-11 06:10:41,061 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:10:41,115 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3258 +[2025-03-11 06:10:41,115 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:11:12,057 INFO hook.py line 566 2389709] Train: [88/100][50/300] Data 0.002 (0.002) Batch 0.421 (0.482) Remain 00:30:57 loss: 0.3926 Lr: 2.23276e-04 +[2025-03-11 06:11:36,937 INFO hook.py line 566 2389709] Train: [88/100][100/300] Data 0.002 (0.002) Batch 0.466 (0.490) Remain 00:31:02 loss: 0.5634 Lr: 2.17625e-04 +[2025-03-11 06:12:01,908 INFO hook.py line 566 2389709] Train: [88/100][150/300] Data 0.003 (0.002) Batch 0.506 (0.493) Remain 00:30:50 loss: 0.5874 Lr: 2.12043e-04 +[2025-03-11 06:12:26,558 INFO hook.py line 566 2389709] Train: [88/100][200/300] Data 0.002 (0.002) Batch 0.493 (0.493) Remain 00:30:25 loss: 0.2714 Lr: 2.06531e-04 +[2025-03-11 06:12:51,327 INFO hook.py line 566 2389709] Train: [88/100][250/300] Data 0.002 (0.002) Batch 0.558 (0.494) Remain 00:30:01 loss: 0.5855 Lr: 2.01088e-04 +[2025-03-11 06:13:15,804 INFO hook.py line 566 2389709] Train: [88/100][300/300] Data 0.002 (0.002) Batch 0.486 (0.493) Remain 00:29:34 loss: 0.5096 Lr: 1.95716e-04 +[2025-03-11 06:13:15,805 INFO misc.py line 135 2389709] Train result: loss: 0.4172 +[2025-03-11 06:13:15,911 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:14:11,020 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2878 +[2025-03-11 06:14:11,068 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3334 +[2025-03-11 06:14:11,113 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4759 +[2025-03-11 06:14:11,168 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4316 +[2025-03-11 06:14:11,206 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8504 +[2025-03-11 06:14:11,264 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.2305 +[2025-03-11 06:14:11,316 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7566 +[2025-03-11 06:14:11,352 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.3180 +[2025-03-11 06:14:11,404 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1802 +[2025-03-11 06:14:11,451 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1425 +[2025-03-11 06:14:11,500 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2087 +[2025-03-11 06:14:11,535 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.0950 +[2025-03-11 06:14:11,583 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2126 +[2025-03-11 06:14:11,624 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.2454 +[2025-03-11 06:14:11,661 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2073 +[2025-03-11 06:14:11,713 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0697 +[2025-03-11 06:14:11,757 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4182 +[2025-03-11 06:14:11,794 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1037 +[2025-03-11 06:14:11,839 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4466 +[2025-03-11 06:14:11,876 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7438 +[2025-03-11 06:14:11,912 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6690 +[2025-03-11 06:14:11,954 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8935 +[2025-03-11 06:14:11,996 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5644 +[2025-03-11 06:14:12,047 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0999 +[2025-03-11 06:14:12,089 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6108 +[2025-03-11 06:14:12,139 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5928 +[2025-03-11 06:14:12,192 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9995 +[2025-03-11 06:14:12,233 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7691 +[2025-03-11 06:14:12,264 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0390 +[2025-03-11 06:14:12,319 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5086 +[2025-03-11 06:14:12,378 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3920 +[2025-03-11 06:14:12,414 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5278 +[2025-03-11 06:14:12,472 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7183 +[2025-03-11 06:14:12,511 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3365 +[2025-03-11 06:14:12,558 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3305 +[2025-03-11 06:14:12,603 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6427 +[2025-03-11 06:14:12,641 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1799 +[2025-03-11 06:14:12,670 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9334 +[2025-03-11 06:14:12,740 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2391 +[2025-03-11 06:14:12,788 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4463 +[2025-03-11 06:14:12,834 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4429 +[2025-03-11 06:14:12,863 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4252 +[2025-03-11 06:14:12,909 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1334 +[2025-03-11 06:14:12,967 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8641 +[2025-03-11 06:14:13,002 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.8436 +[2025-03-11 06:14:13,050 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2249 +[2025-03-11 06:14:13,088 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7554 +[2025-03-11 06:14:13,122 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9874 +[2025-03-11 06:14:13,153 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8546 +[2025-03-11 06:14:13,184 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4493 +[2025-03-11 06:14:13,215 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0929 +[2025-03-11 06:14:13,249 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6440 +[2025-03-11 06:14:13,276 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4225 +[2025-03-11 06:14:13,310 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.4898 +[2025-03-11 06:14:13,349 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4113 +[2025-03-11 06:14:13,390 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9280 +[2025-03-11 06:14:13,423 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3295 +[2025-03-11 06:14:13,448 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7804 +[2025-03-11 06:14:13,487 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8247 +[2025-03-11 06:14:13,525 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5281 +[2025-03-11 06:14:13,550 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7544 +[2025-03-11 06:14:13,585 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0190 +[2025-03-11 06:14:13,623 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0869 +[2025-03-11 06:14:13,681 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9817 +[2025-03-11 06:14:13,709 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4576 +[2025-03-11 06:14:13,751 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3373 +[2025-03-11 06:14:13,791 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9490 +[2025-03-11 06:14:13,827 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1065 +[2025-03-11 06:14:13,858 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3987 +[2025-03-11 06:14:13,918 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1756 +[2025-03-11 06:14:13,962 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9333 +[2025-03-11 06:14:14,017 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.8507 +[2025-03-11 06:14:14,070 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7134 +[2025-03-11 06:14:14,113 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7733 +[2025-03-11 06:14:14,164 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5661 +[2025-03-11 06:14:14,192 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2472 +[2025-03-11 06:14:14,251 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4622 +[2025-03-11 06:14:14,278 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.1882 +[2025-03-11 06:14:15,551 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:14:15,551 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:14:15,552 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] wall : 0.7996 0.9253 +[2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] chair : 0.7166 0.8381 +[2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] floor : 0.9591 0.9812 +[2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] table : 0.6352 0.7873 +[2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] door : 0.6673 0.8056 +[2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] couch : 0.7946 0.9229 +[2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] cabinet : 0.3925 0.5621 +[2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] shelf : 0.4138 0.5702 +[2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] desk : 0.5938 0.7900 +[2025-03-11 06:14:15,552 INFO hook.py line 689 2389709] office chair : 0.2147 0.3732 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] bed : 0.8071 0.9038 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] pillow : 0.5911 0.7818 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] sink : 0.6758 0.7845 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] picture : 0.3857 0.5315 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] window : 0.6028 0.7691 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] toilet : 0.9516 0.9717 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] bookshelf : 0.4867 0.6672 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] monitor : 0.8559 0.9178 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] curtain : 0.7136 0.8566 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] book : 0.4548 0.6799 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] armchair : 0.5657 0.7403 +[2025-03-11 06:14:15,553 INFO hook.py line 689 2389709] coffee table : 0.6307 0.7676 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] box : 0.2872 0.3568 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] refrigerator : 0.6862 0.7214 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] lamp : 0.6896 0.8092 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] kitchen cabinet: 0.7027 0.8111 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] towel : 0.5169 0.6411 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] clothes : 0.2094 0.4001 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] tv : 0.8741 0.9344 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] nightstand : 0.7232 0.9029 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] counter : 0.2794 0.4241 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] dresser : 0.4070 0.5484 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] stool : 0.5898 0.7667 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:14:15,554 INFO hook.py line 689 2389709] plant : 0.7384 0.8904 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] ceiling : 0.9303 0.9639 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] bathtub : 0.8816 0.9178 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] end table : 0.3025 0.4824 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] dining table : 0.0174 0.0280 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] keyboard : 0.4237 0.5737 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] bag : 0.2470 0.3658 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] backpack : 0.6311 0.7440 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] toilet paper : 0.5011 0.6234 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] printer : 0.4653 0.6105 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] tv stand : 0.3510 0.4591 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] whiteboard : 0.5102 0.7180 +[2025-03-11 06:14:15,555 INFO hook.py line 689 2389709] blanket : 0.0176 0.0213 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] shower curtain : 0.7045 0.7729 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] trash can : 0.6247 0.8526 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] closet : 0.1014 0.1646 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] stairs : 0.4742 0.6917 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] microwave : 0.6135 0.7327 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] stove : 0.6707 0.8655 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] shoe : 0.5484 0.6967 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] computer tower : 0.5500 0.7857 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] bottle : 0.1175 0.2339 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] bin : 0.0049 0.0114 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] ottoman : 0.3426 0.3553 +[2025-03-11 06:14:15,556 INFO hook.py line 689 2389709] bench : 0.3273 0.3586 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] board : 0.2232 0.3431 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] washing machine: 0.8619 0.9481 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] mirror : 0.4035 0.5118 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] copier : 0.8775 0.9383 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] sofa chair : 0.1833 0.2553 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] file cabinet : 0.4503 0.5752 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] fan : 0.3762 0.4468 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] laptop : 0.5318 0.7652 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] shower : 0.2353 0.2544 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] paper : 0.0522 0.0682 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] person : 0.2812 0.5683 +[2025-03-11 06:14:15,557 INFO hook.py line 689 2389709] paper towel dispenser: 0.6018 0.8069 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] oven : 0.1521 0.1756 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] blinds : 0.0012 0.0013 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] blackboard : 0.6079 0.6842 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] piano : 0.4120 0.5436 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] suitcase : 0.7150 0.8334 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] rail : 0.0296 0.0316 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] radiator : 0.6758 0.7468 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] recycling bin : 0.4518 0.6651 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] container : 0.0131 0.0347 +[2025-03-11 06:14:15,558 INFO hook.py line 689 2389709] wardrobe : 0.1737 0.2513 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] soap dispenser : 0.8750 0.9122 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] telephone : 0.2918 0.4184 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] bucket : 0.3218 0.4313 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] clock : 0.2495 0.2874 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] light : 0.0515 0.0581 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] laundry basket : 0.0237 0.0270 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] pipe : 0.0720 0.1309 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] clothes dryer : 0.6785 0.6889 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] guitar : 0.7244 0.7993 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] toilet paper holder: 0.0337 0.1363 +[2025-03-11 06:14:15,559 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] column : 0.1429 0.2088 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] ladder : 0.5542 0.5955 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] bathroom stall : 0.4183 0.4869 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] shower wall : 0.4576 0.5784 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] cup : 0.2013 0.3599 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] jacket : 0.1869 0.2553 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] storage bin : 0.0022 0.0028 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] coffee maker : 0.7196 0.9934 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] dishwasher : 0.2968 0.4036 +[2025-03-11 06:14:15,560 INFO hook.py line 689 2389709] paper towel roll: 0.3679 0.3946 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] mat : 0.2594 0.2767 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] windowsill : 0.1069 0.1158 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] bar : 0.1852 0.2817 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] toaster : 0.4323 0.8743 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] bulletin board : 0.2586 0.4328 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] ironing board : 0.2073 0.2295 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] fireplace : 0.5477 0.5716 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] soap dish : 0.3658 0.5190 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] kitchen counter: 0.5566 0.6723 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] doorframe : 0.4243 0.6768 +[2025-03-11 06:14:15,561 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4375 0.5419 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] mini fridge : 0.3646 0.3826 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] fire extinguisher: 0.2841 0.3346 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] ball : 0.7098 0.9340 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] shower curtain rod: 0.4530 0.9059 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] water cooler : 0.5514 0.7518 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] paper cutter : 0.3268 0.4019 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] tray : 0.0595 0.1245 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] shower door : 0.2502 0.2924 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] ledge : 0.0360 0.0518 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] toaster oven : 0.0013 0.0014 +[2025-03-11 06:14:15,562 INFO hook.py line 689 2389709] mouse : 0.1112 0.4027 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7192 0.8148 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] cart : 0.1850 0.2146 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] scale : 0.4898 0.9423 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] tissue box : 0.2626 0.3206 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] light switch : 0.0040 0.0094 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] power outlet : 0.2833 0.3816 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] decoration : 0.2331 0.3773 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:14:15,563 INFO hook.py line 689 2389709] projector : 0.0674 1.0000 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] closet door : 0.1106 0.1241 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] vacuum cleaner : 0.8352 0.9804 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] plunger : 0.5597 0.9772 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] headphones : 0.0013 0.0017 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] dish rack : 0.7860 0.9671 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] broom : 0.1034 0.1667 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] range hood : 0.7557 0.9038 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] dustpan : 0.0891 0.2038 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] hair dryer : 0.0013 0.0020 +[2025-03-11 06:14:15,564 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] handicap bar : 0.0445 0.6618 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] vent : 0.0241 0.0243 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] shower floor : 0.9035 0.9928 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] mailbox : 0.4439 0.4656 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] bowl : 0.1970 0.2562 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] paper bag : 0.0761 0.0922 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] divider : 0.4748 0.5284 +[2025-03-11 06:14:15,565 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] bathroom counter: 0.2830 0.3324 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] object : 0.0425 0.0695 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] bathroom vanity: 0.5052 0.8462 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] closet wall : 0.0226 0.0318 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] laundry hamper : 0.0281 0.0314 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] bathroom stall door: 0.5700 0.7202 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] ceiling light : 0.3908 0.4762 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] trash bin : 0.2440 0.3258 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] dumbbell : 0.7597 0.9843 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] stair rail : 0.1461 0.1729 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] tube : 0.0972 0.1196 +[2025-03-11 06:14:15,566 INFO hook.py line 689 2389709] bathroom cabinet: 0.3121 0.3742 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] closet rod : 0.5047 0.8412 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] coffee kettle : 0.4811 0.5863 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] shower head : 0.3022 0.3781 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] case of water bottles: 0.1780 0.1821 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] coat rack : 0.0036 0.0119 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] fire alarm : 0.0131 0.0455 +[2025-03-11 06:14:15,567 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:14:15,568 INFO hook.py line 689 2389709] calendar : 0.0041 0.0071 +[2025-03-11 06:14:15,568 INFO hook.py line 689 2389709] poster : 0.0007 0.0007 +[2025-03-11 06:14:15,568 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:14:15,568 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:14:15,568 INFO hook.py line 689 2389709] mattress : 0.0487 0.0490 +[2025-03-11 06:14:15,568 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:14:15,568 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3273/0.4228/0.8270. +[2025-03-11 06:14:15,569 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:14:15,592 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3273 +[2025-03-11 06:14:15,592 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3273 +[2025-03-11 06:14:15,592 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:14:45,615 INFO hook.py line 566 2389709] Train: [89/100][50/300] Data 0.002 (0.002) Batch 0.600 (0.487) Remain 00:28:48 loss: 0.5040 Lr: 1.90413e-04 +[2025-03-11 06:15:09,451 INFO hook.py line 566 2389709] Train: [89/100][100/300] Data 0.003 (0.002) Batch 0.456 (0.482) Remain 00:28:05 loss: 0.3071 Lr: 1.85285e-04 +[2025-03-11 06:15:34,401 INFO hook.py line 566 2389709] Train: [89/100][150/300] Data 0.002 (0.002) Batch 0.585 (0.488) Remain 00:28:01 loss: 0.4536 Lr: 1.80121e-04 +[2025-03-11 06:15:59,206 INFO hook.py line 566 2389709] Train: [89/100][200/300] Data 0.002 (0.002) Batch 0.460 (0.490) Remain 00:27:44 loss: 0.5062 Lr: 1.75028e-04 +[2025-03-11 06:16:23,937 INFO hook.py line 566 2389709] Train: [89/100][250/300] Data 0.002 (0.002) Batch 0.494 (0.491) Remain 00:27:23 loss: 0.4271 Lr: 1.70006e-04 +[2025-03-11 06:16:47,762 INFO hook.py line 566 2389709] Train: [89/100][300/300] Data 0.002 (0.002) Batch 0.501 (0.488) Remain 00:26:51 loss: 0.6061 Lr: 1.65054e-04 +[2025-03-11 06:16:47,763 INFO misc.py line 135 2389709] Train result: loss: 0.4146 +[2025-03-11 06:16:47,875 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:17:36,730 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.3032 +[2025-03-11 06:17:36,780 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3301 +[2025-03-11 06:17:36,819 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4618 +[2025-03-11 06:17:36,872 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4536 +[2025-03-11 06:17:36,914 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8717 +[2025-03-11 06:17:36,973 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1280 +[2025-03-11 06:17:37,035 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8440 +[2025-03-11 06:17:37,072 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2348 +[2025-03-11 06:17:37,120 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2862 +[2025-03-11 06:17:37,159 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1594 +[2025-03-11 06:17:37,208 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1187 +[2025-03-11 06:17:37,247 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4931 +[2025-03-11 06:17:37,299 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0270 +[2025-03-11 06:17:37,345 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.7260 +[2025-03-11 06:17:37,387 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2003 +[2025-03-11 06:17:37,439 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0734 +[2025-03-11 06:17:37,486 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4982 +[2025-03-11 06:17:37,527 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0954 +[2025-03-11 06:17:37,576 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.2820 +[2025-03-11 06:17:37,613 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.6981 +[2025-03-11 06:17:37,652 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6849 +[2025-03-11 06:17:37,696 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9474 +[2025-03-11 06:17:37,731 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5728 +[2025-03-11 06:17:37,783 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0973 +[2025-03-11 06:17:37,826 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4466 +[2025-03-11 06:17:37,876 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5366 +[2025-03-11 06:17:37,930 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9973 +[2025-03-11 06:17:37,969 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7722 +[2025-03-11 06:17:38,003 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0662 +[2025-03-11 06:17:38,067 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7595 +[2025-03-11 06:17:38,128 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4399 +[2025-03-11 06:17:38,169 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5275 +[2025-03-11 06:17:38,226 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7554 +[2025-03-11 06:17:38,270 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3149 +[2025-03-11 06:17:38,310 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2597 +[2025-03-11 06:17:38,351 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7284 +[2025-03-11 06:17:38,402 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.4763 +[2025-03-11 06:17:38,434 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9471 +[2025-03-11 06:17:38,506 INFO hook.py line 748 2389709] Test: [39/78] Loss 1.7951 +[2025-03-11 06:17:38,557 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4019 +[2025-03-11 06:17:38,604 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3227 +[2025-03-11 06:17:38,650 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4385 +[2025-03-11 06:17:38,701 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1755 +[2025-03-11 06:17:38,765 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8886 +[2025-03-11 06:17:38,808 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.6720 +[2025-03-11 06:17:38,859 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2046 +[2025-03-11 06:17:38,900 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9479 +[2025-03-11 06:17:38,939 INFO hook.py line 748 2389709] Test: [48/78] Loss 0.9779 +[2025-03-11 06:17:38,974 INFO hook.py line 748 2389709] Test: [49/78] Loss 2.0150 +[2025-03-11 06:17:39,011 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4215 +[2025-03-11 06:17:39,045 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.0577 +[2025-03-11 06:17:39,085 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7297 +[2025-03-11 06:17:39,116 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4116 +[2025-03-11 06:17:39,156 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2884 +[2025-03-11 06:17:39,198 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4625 +[2025-03-11 06:17:39,239 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8372 +[2025-03-11 06:17:39,277 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3990 +[2025-03-11 06:17:39,303 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8111 +[2025-03-11 06:17:39,345 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8723 +[2025-03-11 06:17:39,386 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4360 +[2025-03-11 06:17:39,415 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7929 +[2025-03-11 06:17:39,454 INFO hook.py line 748 2389709] Test: [62/78] Loss 0.9715 +[2025-03-11 06:17:39,496 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0218 +[2025-03-11 06:17:39,553 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9523 +[2025-03-11 06:17:39,585 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4692 +[2025-03-11 06:17:39,629 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2979 +[2025-03-11 06:17:39,672 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8101 +[2025-03-11 06:17:39,712 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0961 +[2025-03-11 06:17:39,745 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4169 +[2025-03-11 06:17:39,807 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.3466 +[2025-03-11 06:17:39,850 INFO hook.py line 748 2389709] Test: [71/78] Loss 3.0535 +[2025-03-11 06:17:39,907 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9236 +[2025-03-11 06:17:39,964 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7362 +[2025-03-11 06:17:40,008 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6678 +[2025-03-11 06:17:40,061 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6290 +[2025-03-11 06:17:40,089 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.2654 +[2025-03-11 06:17:40,150 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4804 +[2025-03-11 06:17:40,176 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.4545 +[2025-03-11 06:17:41,485 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:17:41,486 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:17:41,486 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] wall : 0.8002 0.9298 +[2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] chair : 0.7129 0.8255 +[2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] floor : 0.9595 0.9827 +[2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] table : 0.6475 0.8110 +[2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] door : 0.6669 0.8025 +[2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] couch : 0.8021 0.9181 +[2025-03-11 06:17:41,486 INFO hook.py line 689 2389709] cabinet : 0.3881 0.5676 +[2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] shelf : 0.4057 0.5516 +[2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] desk : 0.5847 0.7846 +[2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] office chair : 0.1785 0.3137 +[2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] bed : 0.8049 0.8900 +[2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] pillow : 0.5732 0.8001 +[2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] sink : 0.6853 0.8026 +[2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] picture : 0.3899 0.5158 +[2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] window : 0.6079 0.7668 +[2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] toilet : 0.9424 0.9731 +[2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] bookshelf : 0.4755 0.6369 +[2025-03-11 06:17:41,487 INFO hook.py line 689 2389709] monitor : 0.8677 0.9221 +[2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] curtain : 0.7391 0.8630 +[2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] book : 0.4578 0.7322 +[2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] armchair : 0.5666 0.8048 +[2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] coffee table : 0.6307 0.7488 +[2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] box : 0.3398 0.4913 +[2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] refrigerator : 0.6643 0.7373 +[2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] lamp : 0.6907 0.8144 +[2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] kitchen cabinet: 0.6983 0.8135 +[2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] towel : 0.5005 0.6881 +[2025-03-11 06:17:41,488 INFO hook.py line 689 2389709] clothes : 0.2059 0.4050 +[2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] tv : 0.8923 0.9285 +[2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] nightstand : 0.7151 0.8952 +[2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] counter : 0.2994 0.4654 +[2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] dresser : 0.4508 0.6420 +[2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] stool : 0.5887 0.7443 +[2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] plant : 0.7613 0.8811 +[2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] ceiling : 0.9316 0.9660 +[2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] bathtub : 0.8906 0.9373 +[2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] end table : 0.2683 0.3713 +[2025-03-11 06:17:41,489 INFO hook.py line 689 2389709] dining table : 0.0145 0.0178 +[2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] keyboard : 0.4177 0.5277 +[2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] bag : 0.1812 0.2638 +[2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] backpack : 0.6115 0.7022 +[2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] toilet paper : 0.5056 0.6189 +[2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] printer : 0.4564 0.6244 +[2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] tv stand : 0.3288 0.4069 +[2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] whiteboard : 0.5332 0.7049 +[2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] blanket : 0.0185 0.0250 +[2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] shower curtain : 0.7074 0.7907 +[2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] trash can : 0.6456 0.8716 +[2025-03-11 06:17:41,490 INFO hook.py line 689 2389709] closet : 0.1124 0.1587 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] stairs : 0.5630 0.6700 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] microwave : 0.5913 0.7563 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] stove : 0.6368 0.8628 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] shoe : 0.5473 0.7254 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] computer tower : 0.5553 0.7989 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] bottle : 0.1163 0.2234 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] bin : 0.0002 0.0005 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] ottoman : 0.3316 0.3776 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] bench : 0.4036 0.4464 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] board : 0.2194 0.3120 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] washing machine: 0.8493 0.9505 +[2025-03-11 06:17:41,491 INFO hook.py line 689 2389709] mirror : 0.4016 0.4783 +[2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] copier : 0.8331 0.9461 +[2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] sofa chair : 0.1734 0.2469 +[2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] file cabinet : 0.4413 0.5394 +[2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] fan : 0.3519 0.4360 +[2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] laptop : 0.5581 0.7116 +[2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] shower : 0.2363 0.2415 +[2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] paper : 0.1029 0.1603 +[2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] person : 0.3008 0.5881 +[2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] paper towel dispenser: 0.5647 0.8390 +[2025-03-11 06:17:41,492 INFO hook.py line 689 2389709] oven : 0.1580 0.1789 +[2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] blackboard : 0.6364 0.6856 +[2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] piano : 0.4984 0.6809 +[2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] suitcase : 0.6739 0.8600 +[2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] rail : 0.0496 0.0539 +[2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] radiator : 0.6496 0.7194 +[2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] recycling bin : 0.4951 0.6076 +[2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] container : 0.0008 0.0014 +[2025-03-11 06:17:41,493 INFO hook.py line 689 2389709] wardrobe : 0.1371 0.1863 +[2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] soap dispenser : 0.8561 0.9217 +[2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] telephone : 0.3081 0.4120 +[2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] bucket : 0.3333 0.4511 +[2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] clock : 0.2544 0.3040 +[2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] light : 0.0527 0.0603 +[2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] laundry basket : 0.0647 0.0715 +[2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] pipe : 0.0493 0.0741 +[2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] clothes dryer : 0.5709 0.5773 +[2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] guitar : 0.6985 0.7898 +[2025-03-11 06:17:41,494 INFO hook.py line 689 2389709] toilet paper holder: 0.0518 0.1429 +[2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] ladder : 0.5365 0.5722 +[2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] bathroom stall : 0.4264 0.4751 +[2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] shower wall : 0.4512 0.5807 +[2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] cup : 0.1863 0.3014 +[2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] jacket : 0.1931 0.2563 +[2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] storage bin : 0.0002 0.0002 +[2025-03-11 06:17:41,495 INFO hook.py line 689 2389709] coffee maker : 0.7192 0.9519 +[2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] dishwasher : 0.3084 0.4511 +[2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] paper towel roll: 0.2615 0.3289 +[2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] mat : 0.1805 0.1899 +[2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] windowsill : 0.1366 0.1491 +[2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] bar : 0.1752 0.2843 +[2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] toaster : 0.4703 0.8343 +[2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] bulletin board : 0.2882 0.4840 +[2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] ironing board : 0.1966 0.2223 +[2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] fireplace : 0.6505 0.6785 +[2025-03-11 06:17:41,496 INFO hook.py line 689 2389709] soap dish : 0.3738 0.5268 +[2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] kitchen counter: 0.5787 0.7116 +[2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] doorframe : 0.4307 0.6649 +[2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4547 0.5506 +[2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] mini fridge : 0.3428 0.3784 +[2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] fire extinguisher: 0.2127 0.2463 +[2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] ball : 0.5463 0.6882 +[2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] shower curtain rod: 0.3899 0.9178 +[2025-03-11 06:17:41,497 INFO hook.py line 689 2389709] water cooler : 0.6033 0.6767 +[2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] paper cutter : 0.2837 0.3324 +[2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] tray : 0.0807 0.1276 +[2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] shower door : 0.2454 0.2848 +[2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] pillar : 0.0001 0.0001 +[2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] ledge : 0.0411 0.0532 +[2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] mouse : 0.0995 0.4192 +[2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.6922 0.8328 +[2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] cart : 0.1706 0.2011 +[2025-03-11 06:17:41,498 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] scale : 0.4753 0.9360 +[2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] tissue box : 0.2486 0.2992 +[2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] light switch : 0.0230 0.0714 +[2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] power outlet : 0.2544 0.3747 +[2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] decoration : 0.3735 0.5854 +[2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:17:41,499 INFO hook.py line 689 2389709] projector : 0.0448 1.0000 +[2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] closet door : 0.0596 0.0640 +[2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] vacuum cleaner : 0.8203 0.9869 +[2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] plunger : 0.6433 0.9842 +[2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] headphones : 0.0207 0.0258 +[2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] dish rack : 0.8012 0.9659 +[2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] broom : 0.1289 0.2144 +[2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:17:41,500 INFO hook.py line 689 2389709] range hood : 0.7500 0.9098 +[2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] dustpan : 0.0905 0.1890 +[2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] handicap bar : 0.0082 0.1020 +[2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] vent : 0.1616 0.1789 +[2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] shower floor : 0.8850 0.9967 +[2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] mailbox : 0.4654 0.4802 +[2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] bowl : 0.1044 0.1271 +[2025-03-11 06:17:41,501 INFO hook.py line 689 2389709] paper bag : 0.0622 0.0929 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] projector screen: 0.0001 0.0001 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] divider : 0.3746 0.4043 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] bathroom counter: 0.2436 0.2845 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] object : 0.0528 0.0916 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] bathroom vanity: 0.5274 0.8216 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] closet wall : 0.0289 0.0390 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] laundry hamper : 0.0130 0.0156 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] bathroom stall door: 0.6146 0.7298 +[2025-03-11 06:17:41,502 INFO hook.py line 689 2389709] ceiling light : 0.4344 0.5504 +[2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] trash bin : 0.2388 0.3057 +[2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] dumbbell : 0.7742 0.9750 +[2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] stair rail : 0.1407 0.1603 +[2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] tube : 0.1191 0.1462 +[2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] bathroom cabinet: 0.4756 0.6189 +[2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] closet rod : 0.5386 0.8527 +[2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] coffee kettle : 0.4046 0.4920 +[2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] shower head : 0.2976 0.3821 +[2025-03-11 06:17:41,503 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] case of water bottles: 0.1215 0.1221 +[2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] coat rack : 0.0010 0.0024 +[2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] fire alarm : 0.0423 0.2143 +[2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] calendar : 0.0095 0.0183 +[2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] poster : 0.0001 0.0001 +[2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:17:41,504 INFO hook.py line 689 2389709] mattress : 0.0402 0.0404 +[2025-03-11 06:17:41,505 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:17:41,505 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3264/0.4188/0.8276. +[2025-03-11 06:17:41,506 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:17:41,525 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3273 +[2025-03-11 06:17:41,525 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:18:11,539 INFO hook.py line 566 2389709] Train: [90/100][50/300] Data 0.002 (0.002) Batch 0.479 (0.485) Remain 00:26:15 loss: 0.4586 Lr: 1.60174e-04 +[2025-03-11 06:18:36,294 INFO hook.py line 566 2389709] Train: [90/100][100/300] Data 0.003 (0.002) Batch 0.465 (0.490) Remain 00:26:08 loss: 0.5845 Lr: 1.55364e-04 +[2025-03-11 06:19:00,437 INFO hook.py line 566 2389709] Train: [90/100][150/300] Data 0.002 (0.002) Batch 0.475 (0.488) Remain 00:25:36 loss: 0.3449 Lr: 1.50626e-04 +[2025-03-11 06:19:25,297 INFO hook.py line 566 2389709] Train: [90/100][200/300] Data 0.002 (0.002) Batch 0.525 (0.490) Remain 00:25:19 loss: 0.3184 Lr: 1.45959e-04 +[2025-03-11 06:19:49,315 INFO hook.py line 566 2389709] Train: [90/100][250/300] Data 0.002 (0.002) Batch 0.499 (0.488) Remain 00:24:48 loss: 0.4394 Lr: 1.41363e-04 +[2025-03-11 06:20:13,524 INFO hook.py line 566 2389709] Train: [90/100][300/300] Data 0.002 (0.002) Batch 0.442 (0.487) Remain 00:24:22 loss: 0.5075 Lr: 1.36839e-04 +[2025-03-11 06:20:13,525 INFO misc.py line 135 2389709] Train result: loss: 0.4183 +[2025-03-11 06:20:13,626 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:21:07,579 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2939 +[2025-03-11 06:21:07,672 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3216 +[2025-03-11 06:21:07,714 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4146 +[2025-03-11 06:21:07,765 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4647 +[2025-03-11 06:21:07,806 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8342 +[2025-03-11 06:21:07,867 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0533 +[2025-03-11 06:21:07,919 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7176 +[2025-03-11 06:21:07,958 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2312 +[2025-03-11 06:21:08,016 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2947 +[2025-03-11 06:21:08,052 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1027 +[2025-03-11 06:21:08,103 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1777 +[2025-03-11 06:21:08,142 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4856 +[2025-03-11 06:21:08,193 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.7359 +[2025-03-11 06:21:08,231 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5325 +[2025-03-11 06:21:08,270 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.3630 +[2025-03-11 06:21:08,327 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0679 +[2025-03-11 06:21:08,370 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4825 +[2025-03-11 06:21:08,408 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0275 +[2025-03-11 06:21:08,457 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4957 +[2025-03-11 06:21:08,493 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7855 +[2025-03-11 06:21:08,532 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7035 +[2025-03-11 06:21:08,577 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.8582 +[2025-03-11 06:21:08,609 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4223 +[2025-03-11 06:21:08,658 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0671 +[2025-03-11 06:21:08,699 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6127 +[2025-03-11 06:21:08,746 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4649 +[2025-03-11 06:21:08,800 INFO hook.py line 748 2389709] Test: [27/78] Loss 1.9923 +[2025-03-11 06:21:08,838 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8539 +[2025-03-11 06:21:08,876 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1547 +[2025-03-11 06:21:08,932 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.7020 +[2025-03-11 06:21:08,990 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.3722 +[2025-03-11 06:21:09,028 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6233 +[2025-03-11 06:21:09,085 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7977 +[2025-03-11 06:21:09,130 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3374 +[2025-03-11 06:21:09,168 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2894 +[2025-03-11 06:21:09,209 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7476 +[2025-03-11 06:21:09,254 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2538 +[2025-03-11 06:21:09,284 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9439 +[2025-03-11 06:21:09,351 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.1056 +[2025-03-11 06:21:09,401 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3949 +[2025-03-11 06:21:09,446 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4239 +[2025-03-11 06:21:09,490 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4445 +[2025-03-11 06:21:09,533 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2475 +[2025-03-11 06:21:09,592 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8594 +[2025-03-11 06:21:09,631 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7313 +[2025-03-11 06:21:09,683 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2064 +[2025-03-11 06:21:09,721 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8006 +[2025-03-11 06:21:09,754 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0025 +[2025-03-11 06:21:09,790 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8219 +[2025-03-11 06:21:09,827 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5191 +[2025-03-11 06:21:09,856 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2667 +[2025-03-11 06:21:09,891 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6516 +[2025-03-11 06:21:09,919 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4492 +[2025-03-11 06:21:09,958 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1016 +[2025-03-11 06:21:10,000 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4668 +[2025-03-11 06:21:10,041 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8685 +[2025-03-11 06:21:10,079 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2198 +[2025-03-11 06:21:10,108 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.8025 +[2025-03-11 06:21:10,147 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.8921 +[2025-03-11 06:21:10,182 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4898 +[2025-03-11 06:21:10,206 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8082 +[2025-03-11 06:21:10,240 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0384 +[2025-03-11 06:21:10,277 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1968 +[2025-03-11 06:21:10,335 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9933 +[2025-03-11 06:21:10,363 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.5098 +[2025-03-11 06:21:10,410 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1195 +[2025-03-11 06:21:10,449 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.9073 +[2025-03-11 06:21:10,488 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1150 +[2025-03-11 06:21:10,524 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3875 +[2025-03-11 06:21:10,589 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1061 +[2025-03-11 06:21:10,633 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8608 +[2025-03-11 06:21:10,689 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9077 +[2025-03-11 06:21:10,743 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.6726 +[2025-03-11 06:21:10,790 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8426 +[2025-03-11 06:21:10,845 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.5677 +[2025-03-11 06:21:10,877 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0308 +[2025-03-11 06:21:10,937 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5493 +[2025-03-11 06:21:10,963 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2371 +[2025-03-11 06:21:12,307 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:21:12,307 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:21:12,307 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:21:12,307 INFO hook.py line 689 2389709] wall : 0.8013 0.9299 +[2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] chair : 0.7332 0.8576 +[2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] floor : 0.9603 0.9830 +[2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] table : 0.6397 0.7761 +[2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] door : 0.6756 0.8083 +[2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] couch : 0.7902 0.9183 +[2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] cabinet : 0.3855 0.6048 +[2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] shelf : 0.3972 0.5427 +[2025-03-11 06:21:12,308 INFO hook.py line 689 2389709] desk : 0.5943 0.8026 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] office chair : 0.1957 0.3055 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] bed : 0.8000 0.8824 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] pillow : 0.5714 0.8004 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] sink : 0.6880 0.7894 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] picture : 0.3860 0.5139 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] window : 0.6018 0.7710 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] toilet : 0.9498 0.9704 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] bookshelf : 0.4649 0.6394 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] monitor : 0.8534 0.9095 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] curtain : 0.7262 0.8598 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] book : 0.4541 0.7074 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] armchair : 0.5636 0.7367 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] coffee table : 0.6615 0.7954 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] box : 0.3284 0.4332 +[2025-03-11 06:21:12,309 INFO hook.py line 689 2389709] refrigerator : 0.6853 0.7208 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] lamp : 0.6796 0.8302 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] kitchen cabinet: 0.6760 0.7753 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] towel : 0.5152 0.6797 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] clothes : 0.2108 0.4033 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] tv : 0.8884 0.9339 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] nightstand : 0.7063 0.8895 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] counter : 0.2956 0.4573 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] dresser : 0.4248 0.5546 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] stool : 0.5244 0.6932 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] plant : 0.7519 0.8850 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] ceiling : 0.9315 0.9638 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] bathtub : 0.8803 0.9207 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] end table : 0.2223 0.3273 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] dining table : 0.0227 0.0330 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] keyboard : 0.4351 0.5720 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] bag : 0.2337 0.3166 +[2025-03-11 06:21:12,310 INFO hook.py line 689 2389709] backpack : 0.6192 0.7137 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] toilet paper : 0.5031 0.6163 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] printer : 0.4773 0.6060 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] tv stand : 0.3090 0.4078 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] whiteboard : 0.5249 0.7245 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] blanket : 0.0131 0.0191 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] shower curtain : 0.6899 0.7575 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] trash can : 0.6384 0.8581 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] closet : 0.1097 0.1656 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] stairs : 0.4693 0.6841 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] microwave : 0.5762 0.7556 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] stove : 0.6371 0.8450 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] shoe : 0.5212 0.6580 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] computer tower : 0.5549 0.7974 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] bottle : 0.1130 0.2166 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 06:21:12,311 INFO hook.py line 689 2389709] ottoman : 0.3741 0.4003 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] bench : 0.4148 0.4578 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] board : 0.2159 0.3285 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] washing machine: 0.8546 0.9413 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] mirror : 0.3879 0.4834 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] copier : 0.8724 0.9441 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] sofa chair : 0.1820 0.2862 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] file cabinet : 0.4506 0.5615 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] fan : 0.3900 0.4436 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] laptop : 0.5399 0.7419 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] shower : 0.2432 0.2574 +[2025-03-11 06:21:12,312 INFO hook.py line 689 2389709] paper : 0.0794 0.1115 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] person : 0.2943 0.5920 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] paper towel dispenser: 0.5576 0.8607 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] oven : 0.1724 0.1985 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] blinds : 0.0007 0.0008 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] blackboard : 0.6059 0.6876 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] piano : 0.4412 0.5716 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] suitcase : 0.6126 0.7863 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] rail : 0.0470 0.0506 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] radiator : 0.6564 0.7105 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] recycling bin : 0.4890 0.6271 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] container : 0.0028 0.0050 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] wardrobe : 0.1385 0.1881 +[2025-03-11 06:21:12,313 INFO hook.py line 689 2389709] soap dispenser : 0.8545 0.9075 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] telephone : 0.2872 0.3641 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] bucket : 0.3612 0.5204 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] clock : 0.2558 0.2985 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] light : 0.0526 0.0591 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] laundry basket : 0.0374 0.0415 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] pipe : 0.0457 0.0754 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] clothes dryer : 0.6677 0.6843 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] guitar : 0.6820 0.8707 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] toilet paper holder: 0.0927 0.2286 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] column : 0.0230 0.0257 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] ladder : 0.5216 0.6138 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] bathroom stall : 0.4221 0.4731 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] shower wall : 0.4339 0.5594 +[2025-03-11 06:21:12,314 INFO hook.py line 689 2389709] cup : 0.1689 0.3051 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] jacket : 0.2160 0.2846 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] storage bin : 0.0037 0.0047 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] coffee maker : 0.8209 0.9854 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] dishwasher : 0.2675 0.3821 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] paper towel roll: 0.3422 0.3934 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] mat : 0.2374 0.2519 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] windowsill : 0.0872 0.0952 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] bar : 0.1814 0.2838 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] toaster : 0.4299 0.8390 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] bulletin board : 0.2263 0.3730 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] ironing board : 0.2098 0.2473 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] fireplace : 0.6401 0.6685 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] soap dish : 0.3710 0.5118 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] kitchen counter: 0.5494 0.6718 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] doorframe : 0.4314 0.6564 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4613 0.5607 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] mini fridge : 0.2773 0.2924 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] fire extinguisher: 0.2132 0.2398 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] ball : 0.5926 0.7873 +[2025-03-11 06:21:12,315 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] shower curtain rod: 0.4242 0.9186 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] water cooler : 0.7831 0.8353 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] paper cutter : 0.2786 0.3275 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] tray : 0.0805 0.1086 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] shower door : 0.2315 0.2843 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] ledge : 0.0314 0.0460 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] mouse : 0.1253 0.5154 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7540 0.8259 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] cart : 0.1866 0.2182 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] scale : 0.4699 0.9398 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] tissue box : 0.2265 0.2725 +[2025-03-11 06:21:12,316 INFO hook.py line 689 2389709] light switch : 0.0403 0.0823 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] power outlet : 0.2973 0.3651 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] decoration : 0.2359 0.3586 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] projector : 0.0888 1.0000 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] closet door : 0.0721 0.0780 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] vacuum cleaner : 0.8614 0.9837 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] plunger : 0.6016 0.9871 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] headphones : 0.0203 0.0275 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] dish rack : 0.8057 0.9613 +[2025-03-11 06:21:12,317 INFO hook.py line 689 2389709] broom : 0.1017 0.1279 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] range hood : 0.7441 0.9076 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] dustpan : 0.0746 0.1880 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] handicap bar : 0.0062 0.0776 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] vent : 0.1997 0.2278 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] shower floor : 0.8668 0.9956 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] mailbox : 0.4695 0.4801 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] bowl : 0.1454 0.1707 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] paper bag : 0.0841 0.1035 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] divider : 0.4767 0.5503 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] bathroom counter: 0.2517 0.2864 +[2025-03-11 06:21:12,318 INFO hook.py line 689 2389709] object : 0.0441 0.0732 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] bathroom vanity: 0.5229 0.8311 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] closet wall : 0.0221 0.0300 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] laundry hamper : 0.0060 0.0064 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] bathroom stall door: 0.5758 0.6905 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] ceiling light : 0.4273 0.5359 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] trash bin : 0.2668 0.3471 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] dumbbell : 0.7590 0.9752 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] stair rail : 0.1250 0.1416 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] tube : 0.1022 0.1280 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] bathroom cabinet: 0.4948 0.5746 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] closet rod : 0.5289 0.8233 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] coffee kettle : 0.4803 0.5643 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] shower head : 0.3339 0.4121 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] case of water bottles: 0.1107 0.1107 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] coat rack : 0.0364 0.1050 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:21:12,319 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:21:12,320 INFO hook.py line 689 2389709] mattress : 0.0241 0.0242 +[2025-03-11 06:21:12,320 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:21:12,320 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3272/0.4177/0.8276. +[2025-03-11 06:21:12,321 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:21:12,338 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3273 +[2025-03-11 06:21:12,339 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:21:42,785 INFO hook.py line 566 2389709] Train: [91/100][50/300] Data 0.002 (0.002) Batch 0.575 (0.493) Remain 00:24:14 loss: 0.4342 Lr: 1.32387e-04 +[2025-03-11 06:22:07,132 INFO hook.py line 566 2389709] Train: [91/100][100/300] Data 0.002 (0.002) Batch 0.468 (0.490) Remain 00:23:40 loss: 0.4912 Lr: 1.28007e-04 +[2025-03-11 06:22:31,182 INFO hook.py line 566 2389709] Train: [91/100][150/300] Data 0.002 (0.002) Batch 0.494 (0.487) Remain 00:23:07 loss: 0.3573 Lr: 1.23699e-04 +[2025-03-11 06:22:55,539 INFO hook.py line 566 2389709] Train: [91/100][200/300] Data 0.002 (0.002) Batch 0.499 (0.487) Remain 00:22:43 loss: 0.4812 Lr: 1.19464e-04 +[2025-03-11 06:23:20,424 INFO hook.py line 566 2389709] Train: [91/100][250/300] Data 0.002 (0.002) Batch 0.499 (0.489) Remain 00:22:25 loss: 0.6113 Lr: 1.15300e-04 +[2025-03-11 06:23:44,433 INFO hook.py line 566 2389709] Train: [91/100][300/300] Data 0.001 (0.002) Batch 0.410 (0.488) Remain 00:21:56 loss: 0.5085 Lr: 1.11209e-04 +[2025-03-11 06:23:44,434 INFO misc.py line 135 2389709] Train result: loss: 0.4106 +[2025-03-11 06:23:44,531 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:24:36,546 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2835 +[2025-03-11 06:24:36,599 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.1835 +[2025-03-11 06:24:36,642 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4210 +[2025-03-11 06:24:36,704 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4444 +[2025-03-11 06:24:36,743 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8361 +[2025-03-11 06:24:36,807 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0888 +[2025-03-11 06:24:36,870 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8100 +[2025-03-11 06:24:36,909 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2385 +[2025-03-11 06:24:36,954 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2476 +[2025-03-11 06:24:36,993 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1324 +[2025-03-11 06:24:37,041 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1658 +[2025-03-11 06:24:37,087 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3997 +[2025-03-11 06:24:37,136 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.2264 +[2025-03-11 06:24:37,180 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5228 +[2025-03-11 06:24:37,217 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2264 +[2025-03-11 06:24:37,269 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0705 +[2025-03-11 06:24:37,309 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5908 +[2025-03-11 06:24:37,344 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0564 +[2025-03-11 06:24:37,390 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5079 +[2025-03-11 06:24:37,427 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7248 +[2025-03-11 06:24:37,462 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6707 +[2025-03-11 06:24:37,515 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9200 +[2025-03-11 06:24:37,555 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5339 +[2025-03-11 06:24:37,606 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1294 +[2025-03-11 06:24:37,647 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.6046 +[2025-03-11 06:24:37,692 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5548 +[2025-03-11 06:24:37,746 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0062 +[2025-03-11 06:24:37,788 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.7879 +[2025-03-11 06:24:37,818 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.0970 +[2025-03-11 06:24:37,876 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6073 +[2025-03-11 06:24:37,934 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4369 +[2025-03-11 06:24:37,968 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6061 +[2025-03-11 06:24:38,026 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7945 +[2025-03-11 06:24:38,067 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3385 +[2025-03-11 06:24:38,105 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2918 +[2025-03-11 06:24:38,144 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6438 +[2025-03-11 06:24:38,196 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2314 +[2025-03-11 06:24:38,228 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9945 +[2025-03-11 06:24:38,296 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.0853 +[2025-03-11 06:24:38,349 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4285 +[2025-03-11 06:24:38,399 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3480 +[2025-03-11 06:24:38,428 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4320 +[2025-03-11 06:24:38,467 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1532 +[2025-03-11 06:24:38,528 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8952 +[2025-03-11 06:24:38,569 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5498 +[2025-03-11 06:24:38,622 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2141 +[2025-03-11 06:24:38,663 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8588 +[2025-03-11 06:24:38,708 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0483 +[2025-03-11 06:24:38,744 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8865 +[2025-03-11 06:24:38,782 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4959 +[2025-03-11 06:24:38,813 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2327 +[2025-03-11 06:24:38,853 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7673 +[2025-03-11 06:24:38,883 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4531 +[2025-03-11 06:24:38,924 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.0555 +[2025-03-11 06:24:38,967 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4692 +[2025-03-11 06:24:39,011 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0795 +[2025-03-11 06:24:39,050 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2381 +[2025-03-11 06:24:39,080 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7681 +[2025-03-11 06:24:39,118 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9000 +[2025-03-11 06:24:39,154 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4913 +[2025-03-11 06:24:39,181 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8059 +[2025-03-11 06:24:39,216 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0680 +[2025-03-11 06:24:39,254 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1756 +[2025-03-11 06:24:39,313 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9492 +[2025-03-11 06:24:39,341 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4911 +[2025-03-11 06:24:39,390 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2742 +[2025-03-11 06:24:39,429 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8914 +[2025-03-11 06:24:39,467 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1011 +[2025-03-11 06:24:39,503 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3977 +[2025-03-11 06:24:39,569 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1036 +[2025-03-11 06:24:39,617 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9217 +[2025-03-11 06:24:39,672 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9657 +[2025-03-11 06:24:39,726 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7551 +[2025-03-11 06:24:39,775 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.6748 +[2025-03-11 06:24:39,830 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6385 +[2025-03-11 06:24:39,862 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9510 +[2025-03-11 06:24:39,921 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.4834 +[2025-03-11 06:24:39,947 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3347 +[2025-03-11 06:24:41,310 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:24:41,311 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:24:41,311 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] wall : 0.8013 0.9265 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] chair : 0.7244 0.8595 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] floor : 0.9601 0.9827 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] table : 0.6464 0.7836 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] door : 0.6783 0.8040 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] couch : 0.7906 0.9245 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] cabinet : 0.3937 0.5941 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] shelf : 0.4043 0.5462 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] desk : 0.5943 0.8013 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] office chair : 0.1826 0.2844 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] bed : 0.8048 0.8903 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] pillow : 0.5814 0.7886 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] sink : 0.6853 0.7976 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] picture : 0.3895 0.5217 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] window : 0.6114 0.7836 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] toilet : 0.9497 0.9691 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] bookshelf : 0.4671 0.6376 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] monitor : 0.8619 0.9197 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] curtain : 0.7190 0.8616 +[2025-03-11 06:24:41,311 INFO hook.py line 689 2389709] book : 0.4529 0.7259 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] armchair : 0.5624 0.7519 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] coffee table : 0.6004 0.7462 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] box : 0.3250 0.4312 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] refrigerator : 0.6773 0.7492 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] lamp : 0.7001 0.8211 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] kitchen cabinet: 0.6874 0.7883 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] towel : 0.5469 0.6920 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] clothes : 0.2086 0.4240 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] tv : 0.8898 0.9383 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] nightstand : 0.6779 0.8751 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] counter : 0.2683 0.3938 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] dresser : 0.4424 0.6132 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] stool : 0.5799 0.7438 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] plant : 0.7599 0.9002 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] ceiling : 0.9318 0.9674 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] bathtub : 0.8856 0.9186 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] end table : 0.2609 0.3807 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] dining table : 0.0242 0.0287 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] keyboard : 0.4230 0.5619 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] bag : 0.2044 0.2820 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] backpack : 0.6288 0.7194 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] toilet paper : 0.4950 0.6142 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] printer : 0.4710 0.5834 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] tv stand : 0.3250 0.3953 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] whiteboard : 0.5072 0.6767 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] blanket : 0.0548 0.0828 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] shower curtain : 0.6942 0.7674 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] trash can : 0.6240 0.8580 +[2025-03-11 06:24:41,312 INFO hook.py line 689 2389709] closet : 0.1130 0.1638 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] stairs : 0.4724 0.6965 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] microwave : 0.6164 0.7645 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] stove : 0.6294 0.8393 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] shoe : 0.5302 0.6931 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] computer tower : 0.5420 0.8012 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] bottle : 0.1010 0.1996 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] bin : 0.0006 0.0010 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] ottoman : 0.3354 0.3747 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] bench : 0.3955 0.4670 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] board : 0.2058 0.3346 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] washing machine: 0.8448 0.9488 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] mirror : 0.4012 0.4992 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] copier : 0.8545 0.9474 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] sofa chair : 0.1466 0.2039 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] file cabinet : 0.4519 0.5728 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] fan : 0.3639 0.4239 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] laptop : 0.5321 0.7144 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] shower : 0.2919 0.3201 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] paper : 0.0786 0.1097 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] person : 0.3521 0.6022 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] paper towel dispenser: 0.5615 0.8425 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] oven : 0.1315 0.1591 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] blinds : 0.0002 0.0002 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] blackboard : 0.5938 0.6710 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] piano : 0.4553 0.5811 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] suitcase : 0.6416 0.7999 +[2025-03-11 06:24:41,313 INFO hook.py line 689 2389709] rail : 0.0414 0.0443 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] radiator : 0.6790 0.7382 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] recycling bin : 0.4864 0.6370 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] container : 0.0031 0.0064 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] wardrobe : 0.1812 0.2595 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] soap dispenser : 0.8289 0.9136 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] telephone : 0.2955 0.3975 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] bucket : 0.3484 0.5058 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] clock : 0.2614 0.3084 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] light : 0.0339 0.0390 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] laundry basket : 0.0538 0.0607 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] pipe : 0.0363 0.0571 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] clothes dryer : 0.6135 0.6252 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] guitar : 0.7744 0.8350 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] toilet paper holder: 0.0603 0.1896 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] ladder : 0.5352 0.5892 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] bathroom stall : 0.4281 0.5005 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] shower wall : 0.4450 0.5766 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] cup : 0.1598 0.2981 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] jacket : 0.1874 0.2338 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] storage bin : 0.0019 0.0024 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] coffee maker : 0.7501 0.9898 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] dishwasher : 0.2722 0.3743 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] paper towel roll: 0.3326 0.3914 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:24:41,314 INFO hook.py line 689 2389709] mat : 0.1768 0.1880 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] windowsill : 0.1040 0.1104 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] bar : 0.1900 0.2967 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] toaster : 0.4169 0.8816 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] bulletin board : 0.2411 0.3998 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] ironing board : 0.1909 0.2149 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] fireplace : 0.5968 0.6226 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] soap dish : 0.3691 0.5098 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] kitchen counter: 0.5679 0.7252 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] doorframe : 0.4358 0.6675 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4680 0.6102 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] mini fridge : 0.3243 0.3365 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] fire extinguisher: 0.2525 0.2992 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] ball : 0.7190 0.8739 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] shower curtain rod: 0.4409 0.9138 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] water cooler : 0.7138 0.8557 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] paper cutter : 0.2822 0.3264 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] tray : 0.0871 0.1181 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] shower door : 0.2510 0.2873 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] ledge : 0.0395 0.0580 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] mouse : 0.1658 0.5658 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7487 0.8338 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] cart : 0.1425 0.1677 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] scale : 0.4117 0.9442 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] tissue box : 0.2390 0.3058 +[2025-03-11 06:24:41,315 INFO hook.py line 689 2389709] light switch : 0.0237 0.0586 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] power outlet : 0.2795 0.3825 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] decoration : 0.2105 0.3032 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] projector : 0.0734 1.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] closet door : 0.0446 0.0492 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] vacuum cleaner : 0.8687 0.9836 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] plunger : 0.5237 0.9778 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] headphones : 0.0158 0.0259 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] dish rack : 0.8363 0.9656 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] broom : 0.1041 0.1421 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] range hood : 0.7423 0.9173 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] dustpan : 0.0825 0.1670 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] handicap bar : 0.0178 0.2378 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] vent : 0.2327 0.2631 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] shower floor : 0.8513 0.9961 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] mailbox : 0.4830 0.5032 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] bowl : 0.1018 0.1349 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] paper bag : 0.0788 0.0987 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:24:41,316 INFO hook.py line 689 2389709] divider : 0.4059 0.4349 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] bathroom counter: 0.2599 0.2984 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] object : 0.0419 0.0673 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] bathroom vanity: 0.5397 0.8192 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] closet wall : 0.0255 0.0350 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] laundry hamper : 0.0548 0.0601 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] bathroom stall door: 0.6027 0.7722 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] ceiling light : 0.4321 0.5333 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] trash bin : 0.2538 0.3444 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] dumbbell : 0.6583 0.9782 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] stair rail : 0.1309 0.1501 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] tube : 0.0912 0.1223 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] bathroom cabinet: 0.5214 0.6833 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] closet rod : 0.5074 0.8664 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] coffee kettle : 0.4991 0.5671 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] shower head : 0.3230 0.3766 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] case of water bottles: 0.1531 0.1579 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] coat rack : 0.0069 0.0167 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] poster : 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:24:41,317 INFO hook.py line 689 2389709] mattress : 0.0270 0.0271 +[2025-03-11 06:24:41,318 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:24:41,318 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3264/0.4202/0.8279. +[2025-03-11 06:24:41,318 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:24:41,338 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3273 +[2025-03-11 06:24:41,338 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:25:12,044 INFO hook.py line 566 2389709] Train: [92/100][50/300] Data 0.002 (0.002) Batch 0.494 (0.498) Remain 00:22:00 loss: 0.6600 Lr: 1.07191e-04 +[2025-03-11 06:25:36,151 INFO hook.py line 566 2389709] Train: [92/100][100/300] Data 0.003 (0.002) Batch 0.432 (0.490) Remain 00:21:13 loss: 0.5744 Lr: 1.03245e-04 +[2025-03-11 06:26:00,519 INFO hook.py line 566 2389709] Train: [92/100][150/300] Data 0.002 (0.002) Batch 0.484 (0.489) Remain 00:20:47 loss: 0.4899 Lr: 9.93718e-05 +[2025-03-11 06:26:25,031 INFO hook.py line 566 2389709] Train: [92/100][200/300] Data 0.002 (0.002) Batch 0.509 (0.489) Remain 00:20:23 loss: 0.4153 Lr: 9.55718e-05 +[2025-03-11 06:26:49,834 INFO hook.py line 566 2389709] Train: [92/100][250/300] Data 0.002 (0.002) Batch 0.397 (0.491) Remain 00:20:02 loss: 0.5239 Lr: 9.18448e-05 +[2025-03-11 06:27:13,900 INFO hook.py line 566 2389709] Train: [92/100][300/300] Data 0.001 (0.002) Batch 0.487 (0.489) Remain 00:19:33 loss: 0.4438 Lr: 8.81910e-05 +[2025-03-11 06:27:13,901 INFO misc.py line 135 2389709] Train result: loss: 0.4116 +[2025-03-11 06:27:14,007 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:28:02,478 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2918 +[2025-03-11 06:28:02,523 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2970 +[2025-03-11 06:28:02,561 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4084 +[2025-03-11 06:28:02,611 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4455 +[2025-03-11 06:28:02,648 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8560 +[2025-03-11 06:28:02,708 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0706 +[2025-03-11 06:28:02,776 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7714 +[2025-03-11 06:28:02,817 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2562 +[2025-03-11 06:28:02,866 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2301 +[2025-03-11 06:28:02,904 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2412 +[2025-03-11 06:28:02,952 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1234 +[2025-03-11 06:28:02,989 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4771 +[2025-03-11 06:28:03,039 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0471 +[2025-03-11 06:28:03,080 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5646 +[2025-03-11 06:28:03,134 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2578 +[2025-03-11 06:28:03,183 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0709 +[2025-03-11 06:28:03,226 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5369 +[2025-03-11 06:28:03,263 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0661 +[2025-03-11 06:28:03,311 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.4284 +[2025-03-11 06:28:03,345 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7272 +[2025-03-11 06:28:03,384 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7010 +[2025-03-11 06:28:03,428 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0094 +[2025-03-11 06:28:03,461 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5292 +[2025-03-11 06:28:03,514 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0516 +[2025-03-11 06:28:03,555 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.3130 +[2025-03-11 06:28:03,602 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5382 +[2025-03-11 06:28:03,656 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0338 +[2025-03-11 06:28:03,693 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8088 +[2025-03-11 06:28:03,733 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1256 +[2025-03-11 06:28:03,789 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5909 +[2025-03-11 06:28:03,857 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4392 +[2025-03-11 06:28:03,898 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6535 +[2025-03-11 06:28:03,955 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7415 +[2025-03-11 06:28:04,000 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2242 +[2025-03-11 06:28:04,042 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2850 +[2025-03-11 06:28:04,084 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7278 +[2025-03-11 06:28:04,123 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2284 +[2025-03-11 06:28:04,152 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0031 +[2025-03-11 06:28:04,219 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.2558 +[2025-03-11 06:28:04,266 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3980 +[2025-03-11 06:28:04,313 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3423 +[2025-03-11 06:28:04,344 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4311 +[2025-03-11 06:28:04,381 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1526 +[2025-03-11 06:28:04,441 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8490 +[2025-03-11 06:28:04,490 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7962 +[2025-03-11 06:28:04,536 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2130 +[2025-03-11 06:28:04,575 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.7834 +[2025-03-11 06:28:04,608 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0475 +[2025-03-11 06:28:04,640 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.7931 +[2025-03-11 06:28:04,672 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4667 +[2025-03-11 06:28:04,702 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.1546 +[2025-03-11 06:28:04,737 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7232 +[2025-03-11 06:28:04,764 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4899 +[2025-03-11 06:28:04,800 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3172 +[2025-03-11 06:28:04,838 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4836 +[2025-03-11 06:28:04,879 INFO hook.py line 748 2389709] Test: [56/78] Loss 1.0610 +[2025-03-11 06:28:04,912 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3753 +[2025-03-11 06:28:04,938 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7871 +[2025-03-11 06:28:04,976 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9195 +[2025-03-11 06:28:05,013 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4813 +[2025-03-11 06:28:05,037 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8021 +[2025-03-11 06:28:05,073 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0725 +[2025-03-11 06:28:05,110 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1243 +[2025-03-11 06:28:05,168 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9850 +[2025-03-11 06:28:05,196 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3949 +[2025-03-11 06:28:05,240 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2245 +[2025-03-11 06:28:05,279 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8212 +[2025-03-11 06:28:05,316 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.1451 +[2025-03-11 06:28:05,347 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3853 +[2025-03-11 06:28:05,408 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1819 +[2025-03-11 06:28:05,451 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8025 +[2025-03-11 06:28:05,507 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9395 +[2025-03-11 06:28:05,560 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7304 +[2025-03-11 06:28:05,604 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7433 +[2025-03-11 06:28:05,655 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6318 +[2025-03-11 06:28:05,684 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9566 +[2025-03-11 06:28:05,743 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5302 +[2025-03-11 06:28:05,769 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2813 +[2025-03-11 06:28:06,986 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:28:06,987 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:28:06,987 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] wall : 0.7993 0.9268 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] chair : 0.7317 0.8608 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] floor : 0.9602 0.9830 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] table : 0.6447 0.7808 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] door : 0.6821 0.8065 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] couch : 0.7939 0.9203 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] cabinet : 0.3842 0.5961 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] shelf : 0.4076 0.5652 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] desk : 0.5847 0.7905 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] office chair : 0.1890 0.2917 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] bed : 0.7967 0.8810 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] pillow : 0.5740 0.8005 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] sink : 0.6841 0.7885 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] picture : 0.3901 0.5375 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] window : 0.6040 0.7813 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] toilet : 0.9489 0.9709 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] bookshelf : 0.4651 0.6227 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] monitor : 0.8652 0.9272 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] curtain : 0.7314 0.8558 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] book : 0.4500 0.7217 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] armchair : 0.5725 0.7764 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] coffee table : 0.6565 0.7842 +[2025-03-11 06:28:06,987 INFO hook.py line 689 2389709] box : 0.3300 0.4360 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] refrigerator : 0.6877 0.7312 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] lamp : 0.6914 0.8258 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] kitchen cabinet: 0.6717 0.7649 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] towel : 0.4996 0.6528 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] clothes : 0.2085 0.4106 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] tv : 0.8905 0.9282 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] nightstand : 0.6898 0.8843 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] counter : 0.3214 0.5096 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] dresser : 0.4502 0.5926 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] stool : 0.5496 0.6964 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] plant : 0.7684 0.8886 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] ceiling : 0.9332 0.9665 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] bathtub : 0.8834 0.9151 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] end table : 0.2865 0.4168 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] dining table : 0.0314 0.0475 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] keyboard : 0.4501 0.6013 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] bag : 0.2012 0.2648 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] backpack : 0.6501 0.7154 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] toilet paper : 0.5028 0.6152 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] printer : 0.4766 0.5784 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] tv stand : 0.3090 0.3943 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] whiteboard : 0.5233 0.7175 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] blanket : 0.0308 0.0476 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] shower curtain : 0.7073 0.7884 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] trash can : 0.6257 0.8481 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] closet : 0.1185 0.1621 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] stairs : 0.4672 0.6981 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] microwave : 0.5609 0.7544 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] stove : 0.6519 0.8304 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] shoe : 0.5348 0.7016 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] computer tower : 0.5540 0.7932 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] bottle : 0.1144 0.2396 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] bin : 0.0003 0.0005 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] ottoman : 0.3820 0.4067 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] bench : 0.4560 0.5127 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] board : 0.1991 0.3084 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] washing machine: 0.8476 0.9486 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] mirror : 0.4003 0.4928 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] copier : 0.8603 0.9540 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] sofa chair : 0.1146 0.1574 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] file cabinet : 0.4760 0.5726 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] fan : 0.3399 0.4420 +[2025-03-11 06:28:06,988 INFO hook.py line 689 2389709] laptop : 0.5492 0.7242 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] shower : 0.2798 0.2910 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] paper : 0.0545 0.0784 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] person : 0.3038 0.5840 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] paper towel dispenser: 0.5710 0.8360 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] oven : 0.1890 0.2220 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] blackboard : 0.5865 0.6654 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] piano : 0.4474 0.6043 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] suitcase : 0.6258 0.7630 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] rail : 0.0507 0.0555 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] radiator : 0.6526 0.7108 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] recycling bin : 0.4756 0.6516 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] container : 0.0011 0.0021 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] wardrobe : 0.1172 0.1609 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] soap dispenser : 0.8777 0.9106 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] telephone : 0.3021 0.4262 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] bucket : 0.3332 0.4516 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] clock : 0.2377 0.2756 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] light : 0.0559 0.0626 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] laundry basket : 0.0429 0.0468 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] pipe : 0.0401 0.0641 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] clothes dryer : 0.6197 0.6270 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] guitar : 0.6845 0.7519 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] toilet paper holder: 0.0456 0.1255 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] ladder : 0.5572 0.6120 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] bathroom stall : 0.4249 0.4990 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] shower wall : 0.4389 0.5715 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] cup : 0.1865 0.3341 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] jacket : 0.1860 0.2293 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] storage bin : 0.0068 0.0088 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] coffee maker : 0.7976 0.9520 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] dishwasher : 0.2662 0.3677 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] paper towel roll: 0.3194 0.4017 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] mat : 0.1641 0.1742 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] windowsill : 0.1242 0.1390 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] bar : 0.1980 0.3331 +[2025-03-11 06:28:06,989 INFO hook.py line 689 2389709] toaster : 0.4443 0.8208 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] bulletin board : 0.2744 0.4849 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] ironing board : 0.1982 0.2360 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] fireplace : 0.6128 0.6368 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] soap dish : 0.3636 0.5020 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] kitchen counter: 0.5420 0.6607 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] doorframe : 0.4335 0.6466 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4988 0.6343 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] mini fridge : 0.2458 0.2507 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] fire extinguisher: 0.2259 0.2650 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] ball : 0.5640 0.8319 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] shower curtain rod: 0.3849 0.9221 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] water cooler : 0.7441 0.8028 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] paper cutter : 0.2835 0.3234 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] tray : 0.0876 0.1139 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] shower door : 0.2450 0.2946 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] ledge : 0.0452 0.0666 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] mouse : 0.0922 0.5837 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7425 0.8197 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] cart : 0.1679 0.1951 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] scale : 0.5062 0.9494 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] tissue box : 0.2511 0.3127 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] light switch : 0.0261 0.0489 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] power outlet : 0.2472 0.3088 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] decoration : 0.2983 0.5055 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] projector : 0.0871 1.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] closet door : 0.0770 0.0830 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] vacuum cleaner : 0.8486 0.9849 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] plunger : 0.5471 0.9869 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] headphones : 0.0193 0.0260 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] dish rack : 0.8624 0.9737 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] broom : 0.0866 0.1103 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] range hood : 0.7393 0.9068 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] dustpan : 0.1102 0.2309 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:28:06,990 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] handicap bar : 0.0219 0.2807 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] vent : 0.1519 0.1750 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] shower floor : 0.8705 0.9956 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] mailbox : 0.4744 0.4893 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] bowl : 0.1353 0.1540 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] paper bag : 0.1026 0.1302 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] divider : 0.4009 0.4378 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] bathroom counter: 0.2640 0.3068 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] object : 0.0469 0.0804 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] bathroom vanity: 0.5158 0.8243 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] closet wall : 0.0223 0.0298 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] laundry hamper : 0.0274 0.0294 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] bathroom stall door: 0.6011 0.6948 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] ceiling light : 0.4360 0.5210 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] trash bin : 0.2620 0.3442 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] dumbbell : 0.7229 0.9781 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] stair rail : 0.1325 0.1502 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] tube : 0.0623 0.0795 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] bathroom cabinet: 0.5147 0.6744 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] closet rod : 0.5573 0.8569 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] coffee kettle : 0.4139 0.4438 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] shower head : 0.3330 0.4223 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] case of water bottles: 0.1141 0.1142 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] coat rack : 0.0284 0.0913 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] poster : 0.0004 0.0005 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:28:06,991 INFO hook.py line 689 2389709] mattress : 0.0364 0.0367 +[2025-03-11 06:28:06,991 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:28:06,991 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3266/0.4188/0.8275. +[2025-03-11 06:28:06,992 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:28:06,994 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3273 +[2025-03-11 06:28:06,995 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:28:36,938 INFO hook.py line 566 2389709] Train: [93/100][50/300] Data 0.002 (0.002) Batch 0.447 (0.490) Remain 00:19:11 loss: 0.4451 Lr: 8.46105e-05 +[2025-03-11 06:29:01,551 INFO hook.py line 566 2389709] Train: [93/100][100/300] Data 0.002 (0.002) Batch 0.492 (0.491) Remain 00:18:49 loss: 0.4521 Lr: 8.11033e-05 +[2025-03-11 06:29:26,160 INFO hook.py line 566 2389709] Train: [93/100][150/300] Data 0.002 (0.002) Batch 0.510 (0.492) Remain 00:18:25 loss: 0.3999 Lr: 7.76696e-05 +[2025-03-11 06:29:50,445 INFO hook.py line 566 2389709] Train: [93/100][200/300] Data 0.002 (0.002) Batch 0.484 (0.490) Remain 00:17:58 loss: 0.2470 Lr: 7.43095e-05 +[2025-03-11 06:30:15,512 INFO hook.py line 566 2389709] Train: [93/100][250/300] Data 0.002 (0.002) Batch 0.476 (0.492) Remain 00:17:38 loss: 0.3405 Lr: 7.10231e-05 +[2025-03-11 06:30:40,037 INFO hook.py line 566 2389709] Train: [93/100][300/300] Data 0.001 (0.002) Batch 0.441 (0.492) Remain 00:17:13 loss: 0.3049 Lr: 6.78105e-05 +[2025-03-11 06:30:40,038 INFO misc.py line 135 2389709] Train result: loss: 0.4116 +[2025-03-11 06:30:40,135 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:31:33,014 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2930 +[2025-03-11 06:31:33,120 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3755 +[2025-03-11 06:31:33,160 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4432 +[2025-03-11 06:31:33,216 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4229 +[2025-03-11 06:31:33,257 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8856 +[2025-03-11 06:31:33,315 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1133 +[2025-03-11 06:31:33,367 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8004 +[2025-03-11 06:31:33,400 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2251 +[2025-03-11 06:31:33,449 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2501 +[2025-03-11 06:31:33,484 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.1868 +[2025-03-11 06:31:33,533 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1317 +[2025-03-11 06:31:33,567 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3138 +[2025-03-11 06:31:33,620 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1542 +[2025-03-11 06:31:33,660 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4412 +[2025-03-11 06:31:33,699 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1752 +[2025-03-11 06:31:33,747 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0722 +[2025-03-11 06:31:33,785 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4984 +[2025-03-11 06:31:33,825 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0514 +[2025-03-11 06:31:33,876 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5780 +[2025-03-11 06:31:33,910 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8100 +[2025-03-11 06:31:33,949 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6958 +[2025-03-11 06:31:33,990 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9883 +[2025-03-11 06:31:34,025 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5183 +[2025-03-11 06:31:34,073 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1361 +[2025-03-11 06:31:34,118 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5164 +[2025-03-11 06:31:34,159 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5208 +[2025-03-11 06:31:34,216 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0244 +[2025-03-11 06:31:34,255 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8400 +[2025-03-11 06:31:34,288 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1142 +[2025-03-11 06:31:34,348 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.6620 +[2025-03-11 06:31:34,408 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4785 +[2025-03-11 06:31:34,446 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.5982 +[2025-03-11 06:31:34,507 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.6941 +[2025-03-11 06:31:34,548 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3593 +[2025-03-11 06:31:34,589 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2700 +[2025-03-11 06:31:34,629 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7575 +[2025-03-11 06:31:34,671 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.3362 +[2025-03-11 06:31:34,706 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0087 +[2025-03-11 06:31:34,772 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3224 +[2025-03-11 06:31:34,823 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3751 +[2025-03-11 06:31:34,867 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4015 +[2025-03-11 06:31:34,900 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4246 +[2025-03-11 06:31:34,938 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2628 +[2025-03-11 06:31:34,998 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8525 +[2025-03-11 06:31:35,038 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.7053 +[2025-03-11 06:31:35,086 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2304 +[2025-03-11 06:31:35,126 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8605 +[2025-03-11 06:31:35,165 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0033 +[2025-03-11 06:31:35,199 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9906 +[2025-03-11 06:31:35,232 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4321 +[2025-03-11 06:31:35,264 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2463 +[2025-03-11 06:31:35,304 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6986 +[2025-03-11 06:31:35,336 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3894 +[2025-03-11 06:31:35,375 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3287 +[2025-03-11 06:31:35,413 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4864 +[2025-03-11 06:31:35,457 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8119 +[2025-03-11 06:31:35,495 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3707 +[2025-03-11 06:31:35,523 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7646 +[2025-03-11 06:31:35,565 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9608 +[2025-03-11 06:31:35,606 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.4886 +[2025-03-11 06:31:35,636 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7926 +[2025-03-11 06:31:35,676 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1433 +[2025-03-11 06:31:35,727 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1089 +[2025-03-11 06:31:35,788 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0546 +[2025-03-11 06:31:35,821 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4554 +[2025-03-11 06:31:35,864 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.1833 +[2025-03-11 06:31:35,907 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8945 +[2025-03-11 06:31:35,948 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0405 +[2025-03-11 06:31:35,981 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3795 +[2025-03-11 06:31:36,041 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0848 +[2025-03-11 06:31:36,088 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9502 +[2025-03-11 06:31:36,146 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9889 +[2025-03-11 06:31:36,205 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7422 +[2025-03-11 06:31:36,249 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8408 +[2025-03-11 06:31:36,300 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6330 +[2025-03-11 06:31:36,329 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0279 +[2025-03-11 06:31:36,391 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5845 +[2025-03-11 06:31:36,421 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3335 +[2025-03-11 06:31:37,684 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:31:37,684 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:31:37,684 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] wall : 0.7996 0.9313 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] chair : 0.7306 0.8618 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] floor : 0.9595 0.9837 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] table : 0.6449 0.7805 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] door : 0.6733 0.7950 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] couch : 0.8013 0.9215 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] cabinet : 0.3854 0.5890 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] shelf : 0.4302 0.5873 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] desk : 0.5902 0.8032 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] office chair : 0.1692 0.2586 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] bed : 0.8001 0.8864 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] pillow : 0.5714 0.7963 +[2025-03-11 06:31:37,684 INFO hook.py line 689 2389709] sink : 0.6860 0.7927 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] picture : 0.3965 0.5260 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] window : 0.6113 0.7769 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] toilet : 0.9506 0.9696 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] bookshelf : 0.4721 0.6198 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] monitor : 0.8629 0.9264 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] curtain : 0.7227 0.8578 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] book : 0.4604 0.7274 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] armchair : 0.5697 0.7744 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] coffee table : 0.6438 0.7790 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] box : 0.3319 0.4567 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] refrigerator : 0.6847 0.7380 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] lamp : 0.6756 0.8145 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] kitchen cabinet: 0.6781 0.7736 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] towel : 0.5205 0.6567 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] clothes : 0.2076 0.4001 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] tv : 0.8875 0.9293 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] nightstand : 0.6993 0.8714 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] counter : 0.3101 0.5033 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] dresser : 0.4251 0.5619 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] stool : 0.5740 0.7389 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:31:37,685 INFO hook.py line 689 2389709] plant : 0.7566 0.8876 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] ceiling : 0.9312 0.9657 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] bathtub : 0.8828 0.9189 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] end table : 0.2677 0.3801 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] dining table : 0.0397 0.0570 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] keyboard : 0.4256 0.5639 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] bag : 0.2313 0.3142 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] backpack : 0.6353 0.7275 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] toilet paper : 0.5024 0.6194 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] printer : 0.4884 0.6084 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] tv stand : 0.2986 0.3988 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] whiteboard : 0.5119 0.6830 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] blanket : 0.0484 0.0696 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] shower curtain : 0.6922 0.7724 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] trash can : 0.6420 0.8407 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] closet : 0.1135 0.1624 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] stairs : 0.4694 0.6807 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] microwave : 0.5664 0.7535 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] stove : 0.6483 0.8499 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] shoe : 0.5332 0.6914 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] computer tower : 0.5678 0.8082 +[2025-03-11 06:31:37,686 INFO hook.py line 689 2389709] bottle : 0.1247 0.2313 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] bin : 0.0003 0.0005 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] ottoman : 0.3747 0.4088 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] bench : 0.4859 0.5554 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] board : 0.2054 0.2981 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] washing machine: 0.8498 0.9552 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] mirror : 0.3961 0.4800 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] copier : 0.8541 0.9489 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] sofa chair : 0.1104 0.1481 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] file cabinet : 0.4401 0.5421 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] fan : 0.3582 0.4827 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] laptop : 0.5302 0.7115 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] shower : 0.2522 0.2660 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] paper : 0.0638 0.0875 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] person : 0.3472 0.5870 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] paper towel dispenser: 0.5510 0.8257 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] oven : 0.1445 0.1681 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] blinds : 0.0004 0.0005 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:31:37,687 INFO hook.py line 689 2389709] blackboard : 0.5866 0.6548 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] piano : 0.4583 0.5923 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] suitcase : 0.6657 0.8071 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] rail : 0.0486 0.0522 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] radiator : 0.6473 0.7072 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] recycling bin : 0.4845 0.6561 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] container : 0.0040 0.0073 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] wardrobe : 0.1679 0.2333 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] soap dispenser : 0.8911 0.9126 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] telephone : 0.2958 0.4041 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] bucket : 0.3314 0.4863 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] clock : 0.2627 0.3068 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] light : 0.0525 0.0597 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] laundry basket : 0.0694 0.0762 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] pipe : 0.0374 0.0564 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] clothes dryer : 0.6171 0.6258 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] guitar : 0.8021 0.8577 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] toilet paper holder: 0.0464 0.1609 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] column : 0.0009 0.0009 +[2025-03-11 06:31:37,688 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] ladder : 0.5414 0.5905 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] bathroom stall : 0.4273 0.4718 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] shower wall : 0.4477 0.5824 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] cup : 0.1762 0.3148 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] jacket : 0.1917 0.2480 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] storage bin : 0.0009 0.0011 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] coffee maker : 0.8283 0.9584 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] dishwasher : 0.2696 0.3885 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] paper towel roll: 0.3344 0.3906 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] mat : 0.1778 0.1892 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] windowsill : 0.1352 0.1479 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] bar : 0.2019 0.3402 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] toaster : 0.4604 0.8774 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] bulletin board : 0.2246 0.3852 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] ironing board : 0.1733 0.1947 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] fireplace : 0.6104 0.6345 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] soap dish : 0.3620 0.5078 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] kitchen counter: 0.5383 0.6523 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] doorframe : 0.4297 0.6723 +[2025-03-11 06:31:37,689 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4478 0.5517 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] mini fridge : 0.3266 0.3541 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] fire extinguisher: 0.2220 0.2547 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] ball : 0.5445 0.7285 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] shower curtain rod: 0.3843 0.9239 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] water cooler : 0.7456 0.8491 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] paper cutter : 0.2859 0.3348 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] tray : 0.0740 0.0970 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] shower door : 0.2321 0.2790 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] ledge : 0.0482 0.0694 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] mouse : 0.1139 0.5066 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7091 0.8047 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] cart : 0.1693 0.1975 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] scale : 0.4425 0.9434 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] tissue box : 0.2415 0.3012 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] light switch : 0.0260 0.0520 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:31:37,690 INFO hook.py line 689 2389709] power outlet : 0.2305 0.3140 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] decoration : 0.3840 0.5535 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] projector : 0.0639 1.0000 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] closet door : 0.0779 0.0875 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] vacuum cleaner : 0.8620 0.9829 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] plunger : 0.5604 0.9811 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] headphones : 0.0206 0.0276 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] dish rack : 0.8124 0.9689 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] broom : 0.0851 0.1018 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] range hood : 0.7330 0.9070 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] dustpan : 0.0805 0.1660 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] hair dryer : 0.0014 0.0020 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] handicap bar : 0.0303 0.3372 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] vent : 0.1923 0.2182 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] shower floor : 0.9012 0.9928 +[2025-03-11 06:31:37,691 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] mailbox : 0.4514 0.4630 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] bowl : 0.1075 0.1339 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] paper bag : 0.0998 0.1400 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] divider : 0.4470 0.4871 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] bathroom counter: 0.2652 0.3019 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] object : 0.0446 0.0750 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] bathroom vanity: 0.5306 0.8280 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] closet wall : 0.0216 0.0296 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] laundry hamper : 0.0143 0.0154 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] bathroom stall door: 0.6166 0.7645 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] ceiling light : 0.4270 0.5407 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] trash bin : 0.2490 0.3173 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] dumbbell : 0.6827 0.9781 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] stair rail : 0.1302 0.1490 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] tube : 0.1094 0.1306 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] bathroom cabinet: 0.5156 0.6578 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] closet rod : 0.5707 0.8574 +[2025-03-11 06:31:37,692 INFO hook.py line 689 2389709] coffee kettle : 0.4621 0.4861 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] shower head : 0.3130 0.3780 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] case of water bottles: 0.1718 0.1753 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] coat rack : 0.0081 0.0238 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] poster : 0.0004 0.0005 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:31:37,693 INFO hook.py line 689 2389709] mattress : 0.0197 0.0198 +[2025-03-11 06:31:37,693 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:31:37,693 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3279/0.4194/0.8288. +[2025-03-11 06:31:37,694 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:31:37,710 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3279 +[2025-03-11 06:31:37,710 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3279 +[2025-03-11 06:31:37,710 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:32:07,452 INFO hook.py line 566 2389709] Train: [94/100][50/300] Data 0.002 (0.003) Batch 0.524 (0.491) Remain 00:16:45 loss: 0.2514 Lr: 6.46718e-05 +[2025-03-11 06:32:31,564 INFO hook.py line 566 2389709] Train: [94/100][100/300] Data 0.002 (0.002) Batch 0.500 (0.486) Remain 00:16:12 loss: 0.3245 Lr: 6.16071e-05 +[2025-03-11 06:32:56,311 INFO hook.py line 566 2389709] Train: [94/100][150/300] Data 0.002 (0.002) Batch 0.522 (0.489) Remain 00:15:53 loss: 0.4639 Lr: 5.86164e-05 +[2025-03-11 06:33:20,773 INFO hook.py line 566 2389709] Train: [94/100][200/300] Data 0.003 (0.002) Batch 0.519 (0.489) Remain 00:15:29 loss: 0.5038 Lr: 5.56999e-05 +[2025-03-11 06:33:45,499 INFO hook.py line 566 2389709] Train: [94/100][250/300] Data 0.003 (0.002) Batch 0.522 (0.490) Remain 00:15:07 loss: 0.4071 Lr: 5.28577e-05 +[2025-03-11 06:34:09,604 INFO hook.py line 566 2389709] Train: [94/100][300/300] Data 0.001 (0.002) Batch 0.589 (0.489) Remain 00:14:40 loss: 0.3351 Lr: 5.00898e-05 +[2025-03-11 06:34:09,605 INFO misc.py line 135 2389709] Train result: loss: 0.4073 +[2025-03-11 06:34:09,708 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:34:58,015 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2752 +[2025-03-11 06:34:58,098 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3117 +[2025-03-11 06:34:58,132 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4202 +[2025-03-11 06:34:58,183 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4334 +[2025-03-11 06:34:58,224 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8424 +[2025-03-11 06:34:58,281 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1385 +[2025-03-11 06:34:58,337 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8012 +[2025-03-11 06:34:58,370 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2623 +[2025-03-11 06:34:58,420 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1925 +[2025-03-11 06:34:58,464 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2527 +[2025-03-11 06:34:58,512 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1509 +[2025-03-11 06:34:58,548 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4356 +[2025-03-11 06:34:58,597 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1932 +[2025-03-11 06:34:58,641 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4031 +[2025-03-11 06:34:58,684 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1504 +[2025-03-11 06:34:58,733 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0696 +[2025-03-11 06:34:58,774 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.4962 +[2025-03-11 06:34:58,812 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0782 +[2025-03-11 06:34:58,858 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.6338 +[2025-03-11 06:34:58,904 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7643 +[2025-03-11 06:34:58,942 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6860 +[2025-03-11 06:34:58,983 INFO hook.py line 748 2389709] Test: [22/78] Loss 2.0061 +[2025-03-11 06:34:59,020 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5451 +[2025-03-11 06:34:59,076 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1246 +[2025-03-11 06:34:59,118 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4854 +[2025-03-11 06:34:59,165 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5100 +[2025-03-11 06:34:59,222 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0338 +[2025-03-11 06:34:59,265 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8189 +[2025-03-11 06:34:59,302 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1537 +[2025-03-11 06:34:59,361 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4323 +[2025-03-11 06:34:59,419 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4803 +[2025-03-11 06:34:59,454 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6561 +[2025-03-11 06:34:59,515 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7396 +[2025-03-11 06:34:59,558 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3303 +[2025-03-11 06:34:59,609 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3446 +[2025-03-11 06:34:59,655 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7534 +[2025-03-11 06:34:59,695 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1099 +[2025-03-11 06:34:59,734 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9748 +[2025-03-11 06:34:59,802 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4803 +[2025-03-11 06:34:59,855 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4284 +[2025-03-11 06:34:59,905 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4334 +[2025-03-11 06:34:59,940 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4356 +[2025-03-11 06:34:59,978 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.0324 +[2025-03-11 06:35:00,041 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8344 +[2025-03-11 06:35:00,076 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.5970 +[2025-03-11 06:35:00,125 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.1965 +[2025-03-11 06:35:00,165 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8937 +[2025-03-11 06:35:00,203 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0201 +[2025-03-11 06:35:00,238 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8652 +[2025-03-11 06:35:00,270 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4843 +[2025-03-11 06:35:00,302 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3133 +[2025-03-11 06:35:00,342 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7347 +[2025-03-11 06:35:00,368 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4547 +[2025-03-11 06:35:00,407 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1797 +[2025-03-11 06:35:00,445 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4893 +[2025-03-11 06:35:00,489 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9329 +[2025-03-11 06:35:00,527 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.0797 +[2025-03-11 06:35:00,555 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7674 +[2025-03-11 06:35:00,597 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9896 +[2025-03-11 06:35:00,633 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5578 +[2025-03-11 06:35:00,661 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7792 +[2025-03-11 06:35:00,697 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1384 +[2025-03-11 06:35:00,738 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.0937 +[2025-03-11 06:35:00,798 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0219 +[2025-03-11 06:35:00,827 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3632 +[2025-03-11 06:35:00,869 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3325 +[2025-03-11 06:35:00,912 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8449 +[2025-03-11 06:35:00,948 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0258 +[2025-03-11 06:35:00,979 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3882 +[2025-03-11 06:35:01,040 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0655 +[2025-03-11 06:35:01,087 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8884 +[2025-03-11 06:35:01,141 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0340 +[2025-03-11 06:35:01,195 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7765 +[2025-03-11 06:35:01,238 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7655 +[2025-03-11 06:35:01,289 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6540 +[2025-03-11 06:35:01,318 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9824 +[2025-03-11 06:35:01,378 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.6192 +[2025-03-11 06:35:01,408 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3158 +[2025-03-11 06:35:02,762 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:35:02,762 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:35:02,762 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] wall : 0.7995 0.9282 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] chair : 0.7293 0.8581 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] floor : 0.9604 0.9836 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] table : 0.6442 0.7882 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] door : 0.6688 0.7929 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] couch : 0.7957 0.9194 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] cabinet : 0.3904 0.5945 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] shelf : 0.4313 0.5922 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] desk : 0.5936 0.7942 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] office chair : 0.1702 0.2645 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] bed : 0.8009 0.8878 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] pillow : 0.5719 0.7911 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] sink : 0.6779 0.7894 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] picture : 0.3848 0.5152 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] window : 0.6011 0.7714 +[2025-03-11 06:35:02,762 INFO hook.py line 689 2389709] toilet : 0.9516 0.9691 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] bookshelf : 0.4898 0.6580 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] monitor : 0.8688 0.9314 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] curtain : 0.7216 0.8558 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] book : 0.4581 0.6840 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] armchair : 0.5571 0.7455 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] coffee table : 0.6361 0.7663 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] box : 0.3199 0.4349 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] refrigerator : 0.6872 0.7493 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] lamp : 0.6858 0.8225 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] kitchen cabinet: 0.6804 0.7786 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] towel : 0.5521 0.7121 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] clothes : 0.2235 0.4233 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] tv : 0.8903 0.9323 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] nightstand : 0.6906 0.8557 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] counter : 0.3120 0.4915 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] dresser : 0.4389 0.5806 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] stool : 0.5818 0.7507 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] plant : 0.7531 0.8876 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] ceiling : 0.9294 0.9633 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] bathtub : 0.8858 0.9173 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] end table : 0.2554 0.3714 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] dining table : 0.0262 0.0349 +[2025-03-11 06:35:02,763 INFO hook.py line 689 2389709] keyboard : 0.4209 0.5466 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] bag : 0.2178 0.2979 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] backpack : 0.6304 0.7086 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] toilet paper : 0.4888 0.5871 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] printer : 0.4676 0.6277 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] tv stand : 0.2951 0.3880 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] whiteboard : 0.5136 0.7093 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] blanket : 0.0413 0.0622 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] shower curtain : 0.6989 0.7655 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] trash can : 0.6328 0.8501 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] closet : 0.1138 0.1647 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] stairs : 0.5464 0.6927 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] microwave : 0.5602 0.7684 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] stove : 0.6507 0.8471 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] shoe : 0.5256 0.6502 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] computer tower : 0.5540 0.7988 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] bottle : 0.1151 0.2036 +[2025-03-11 06:35:02,764 INFO hook.py line 689 2389709] bin : 0.0002 0.0004 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] ottoman : 0.3695 0.3892 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] bench : 0.4709 0.5243 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] board : 0.2138 0.3344 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] washing machine: 0.8711 0.9495 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] mirror : 0.4004 0.4846 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] copier : 0.8456 0.9495 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] sofa chair : 0.1469 0.2157 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] file cabinet : 0.4402 0.5645 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] fan : 0.3586 0.4415 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] laptop : 0.5239 0.6984 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] shower : 0.2720 0.2873 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] paper : 0.0601 0.0831 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] person : 0.3310 0.5995 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] paper towel dispenser: 0.5382 0.8708 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] oven : 0.1681 0.2001 +[2025-03-11 06:35:02,767 INFO hook.py line 689 2389709] blinds : 0.0008 0.0009 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] blackboard : 0.5840 0.6578 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] piano : 0.4641 0.5948 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] suitcase : 0.6574 0.8162 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] rail : 0.0409 0.0432 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] radiator : 0.6666 0.7235 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] recycling bin : 0.4880 0.6607 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] container : 0.0001 0.0002 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] wardrobe : 0.1498 0.2094 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] soap dispenser : 0.8229 0.9160 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] telephone : 0.2915 0.4003 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] bucket : 0.3468 0.5113 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] clock : 0.2534 0.2967 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] light : 0.0636 0.0718 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] laundry basket : 0.0436 0.0478 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] pipe : 0.0380 0.0588 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] clothes dryer : 0.6569 0.6669 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] guitar : 0.7285 0.8041 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] toilet paper holder: 0.0502 0.1340 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] column : 0.0215 0.0245 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] ladder : 0.5758 0.6142 +[2025-03-11 06:35:02,768 INFO hook.py line 689 2389709] bathroom stall : 0.4375 0.4990 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] shower wall : 0.4471 0.5770 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] cup : 0.1817 0.3021 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] jacket : 0.2147 0.2831 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] storage bin : 0.0009 0.0013 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] coffee maker : 0.7141 0.9267 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] dishwasher : 0.2498 0.3768 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] paper towel roll: 0.3227 0.3908 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] mat : 0.1846 0.1970 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] windowsill : 0.1087 0.1186 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] bar : 0.2056 0.3308 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] toaster : 0.4267 0.8091 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] bulletin board : 0.2490 0.4336 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] ironing board : 0.1628 0.1770 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] fireplace : 0.6357 0.6625 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] soap dish : 0.3688 0.5157 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] kitchen counter: 0.5542 0.6738 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] doorframe : 0.4336 0.6503 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4706 0.5762 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] mini fridge : 0.3188 0.3442 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] fire extinguisher: 0.2389 0.2702 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] ball : 0.5369 0.7314 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] shower curtain rod: 0.3989 0.9122 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] water cooler : 0.6930 0.8293 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] paper cutter : 0.2914 0.3372 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] tray : 0.0746 0.1081 +[2025-03-11 06:35:02,769 INFO hook.py line 689 2389709] shower door : 0.2462 0.2848 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] ledge : 0.0433 0.0575 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] mouse : 0.1273 0.4912 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7540 0.8263 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] cart : 0.1660 0.1926 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] scale : 0.4698 0.9415 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] tissue box : 0.2470 0.3050 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] light switch : 0.0316 0.0687 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] power outlet : 0.2383 0.2794 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] decoration : 0.2806 0.4105 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] projector : 0.0732 1.0000 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] closet door : 0.0876 0.0961 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] vacuum cleaner : 0.8542 0.9845 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] plunger : 0.5699 0.9841 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] headphones : 0.0227 0.0312 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] dish rack : 0.8422 0.9750 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] broom : 0.0751 0.0861 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] range hood : 0.7524 0.9063 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] dustpan : 0.0698 0.1353 +[2025-03-11 06:35:02,770 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] handicap bar : 0.0235 0.3038 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] vent : 0.1684 0.1815 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] shower floor : 0.8789 0.9939 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] mailbox : 0.4583 0.4700 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] bowl : 0.1988 0.2545 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] paper bag : 0.1023 0.1342 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] divider : 0.4646 0.5134 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] bathroom counter: 0.2660 0.3120 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] object : 0.0420 0.0709 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] bathroom vanity: 0.5572 0.8208 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] closet wall : 0.0229 0.0311 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] laundry hamper : 0.0390 0.0415 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] bathroom stall door: 0.6296 0.7931 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] ceiling light : 0.4217 0.5490 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] trash bin : 0.2343 0.3013 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] dumbbell : 0.7318 0.9780 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] stair rail : 0.1332 0.1567 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] tube : 0.1275 0.1561 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] bathroom cabinet: 0.5657 0.7305 +[2025-03-11 06:35:02,771 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] closet rod : 0.5719 0.8440 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] coffee kettle : 0.3927 0.4125 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] shower head : 0.3166 0.3788 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] case of water bottles: 0.1056 0.1078 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] coat rack : 0.0076 0.0215 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] fire alarm : 0.0231 0.0698 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] poster : 0.0004 0.0004 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:35:02,772 INFO hook.py line 689 2389709] mattress : 0.0207 0.0207 +[2025-03-11 06:35:02,772 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:35:02,772 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3281/0.4192/0.8289. +[2025-03-11 06:35:02,773 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:35:02,789 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3281 +[2025-03-11 06:35:02,790 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3281 +[2025-03-11 06:35:02,790 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:35:33,103 INFO hook.py line 566 2389709] Train: [95/100][50/300] Data 0.002 (0.002) Batch 0.545 (0.493) Remain 00:14:22 loss: 0.5686 Lr: 4.73964e-05 +[2025-03-11 06:35:57,661 INFO hook.py line 566 2389709] Train: [95/100][100/300] Data 0.002 (0.002) Batch 0.439 (0.492) Remain 00:13:56 loss: 0.5151 Lr: 4.47774e-05 +[2025-03-11 06:36:22,343 INFO hook.py line 566 2389709] Train: [95/100][150/300] Data 0.002 (0.002) Batch 0.444 (0.493) Remain 00:13:32 loss: 0.5200 Lr: 4.22331e-05 +[2025-03-11 06:36:46,531 INFO hook.py line 566 2389709] Train: [95/100][200/300] Data 0.003 (0.002) Batch 0.383 (0.490) Remain 00:13:04 loss: 0.2861 Lr: 3.97634e-05 +[2025-03-11 06:37:11,298 INFO hook.py line 566 2389709] Train: [95/100][250/300] Data 0.002 (0.002) Batch 0.490 (0.491) Remain 00:12:41 loss: 0.2909 Lr: 3.73685e-05 +[2025-03-11 06:37:35,790 INFO hook.py line 566 2389709] Train: [95/100][300/300] Data 0.001 (0.002) Batch 0.493 (0.491) Remain 00:12:16 loss: 0.5226 Lr: 3.50484e-05 +[2025-03-11 06:37:35,791 INFO misc.py line 135 2389709] Train result: loss: 0.3998 +[2025-03-11 06:37:35,888 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:38:29,016 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2716 +[2025-03-11 06:38:29,137 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.3084 +[2025-03-11 06:38:29,198 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4902 +[2025-03-11 06:38:29,247 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4315 +[2025-03-11 06:38:29,282 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8596 +[2025-03-11 06:38:29,343 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0830 +[2025-03-11 06:38:29,400 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7922 +[2025-03-11 06:38:29,430 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2454 +[2025-03-11 06:38:29,483 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.1816 +[2025-03-11 06:38:29,527 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2771 +[2025-03-11 06:38:29,577 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1762 +[2025-03-11 06:38:29,615 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4925 +[2025-03-11 06:38:29,673 INFO hook.py line 748 2389709] Test: [13/78] Loss 0.9665 +[2025-03-11 06:38:29,720 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4791 +[2025-03-11 06:38:29,760 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1873 +[2025-03-11 06:38:29,807 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0719 +[2025-03-11 06:38:29,846 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5449 +[2025-03-11 06:38:29,885 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0553 +[2025-03-11 06:38:29,934 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5429 +[2025-03-11 06:38:29,973 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7728 +[2025-03-11 06:38:30,011 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6812 +[2025-03-11 06:38:30,051 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9247 +[2025-03-11 06:38:30,085 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5758 +[2025-03-11 06:38:30,142 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1247 +[2025-03-11 06:38:30,187 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4686 +[2025-03-11 06:38:30,229 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5963 +[2025-03-11 06:38:30,283 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0951 +[2025-03-11 06:38:30,318 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8180 +[2025-03-11 06:38:30,357 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1323 +[2025-03-11 06:38:30,418 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5018 +[2025-03-11 06:38:30,477 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4618 +[2025-03-11 06:38:30,517 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6815 +[2025-03-11 06:38:30,579 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7443 +[2025-03-11 06:38:30,622 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3604 +[2025-03-11 06:38:30,658 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2818 +[2025-03-11 06:38:30,705 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.6862 +[2025-03-11 06:38:30,743 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0907 +[2025-03-11 06:38:30,783 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9943 +[2025-03-11 06:38:30,849 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4294 +[2025-03-11 06:38:30,897 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.4963 +[2025-03-11 06:38:30,943 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4078 +[2025-03-11 06:38:30,976 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4252 +[2025-03-11 06:38:31,019 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1522 +[2025-03-11 06:38:31,086 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8340 +[2025-03-11 06:38:31,121 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4011 +[2025-03-11 06:38:31,172 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2134 +[2025-03-11 06:38:31,213 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9231 +[2025-03-11 06:38:31,246 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0175 +[2025-03-11 06:38:31,278 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9464 +[2025-03-11 06:38:31,310 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5061 +[2025-03-11 06:38:31,342 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3723 +[2025-03-11 06:38:31,386 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7261 +[2025-03-11 06:38:31,417 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4278 +[2025-03-11 06:38:31,456 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.1556 +[2025-03-11 06:38:31,494 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4810 +[2025-03-11 06:38:31,539 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9061 +[2025-03-11 06:38:31,573 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4046 +[2025-03-11 06:38:31,607 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7611 +[2025-03-11 06:38:31,657 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9323 +[2025-03-11 06:38:31,693 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5148 +[2025-03-11 06:38:31,722 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8235 +[2025-03-11 06:38:31,758 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0619 +[2025-03-11 06:38:31,801 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1814 +[2025-03-11 06:38:31,860 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0174 +[2025-03-11 06:38:31,897 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4180 +[2025-03-11 06:38:31,943 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.2932 +[2025-03-11 06:38:31,984 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8325 +[2025-03-11 06:38:32,019 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0685 +[2025-03-11 06:38:32,050 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3892 +[2025-03-11 06:38:32,111 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0733 +[2025-03-11 06:38:32,157 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7389 +[2025-03-11 06:38:32,212 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0560 +[2025-03-11 06:38:32,266 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7742 +[2025-03-11 06:38:32,311 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7408 +[2025-03-11 06:38:32,362 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6632 +[2025-03-11 06:38:32,391 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0385 +[2025-03-11 06:38:32,451 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5316 +[2025-03-11 06:38:32,478 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3550 +[2025-03-11 06:38:33,766 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:38:33,767 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:38:33,767 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] wall : 0.7976 0.9281 +[2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] chair : 0.7259 0.8574 +[2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] floor : 0.9599 0.9832 +[2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] table : 0.6438 0.7809 +[2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] door : 0.6633 0.7847 +[2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] couch : 0.7964 0.9221 +[2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] cabinet : 0.3905 0.5992 +[2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] shelf : 0.4160 0.5647 +[2025-03-11 06:38:33,767 INFO hook.py line 689 2389709] desk : 0.5884 0.8039 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] office chair : 0.1671 0.2632 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] bed : 0.8020 0.8892 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] pillow : 0.5739 0.7911 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] sink : 0.6777 0.7839 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] picture : 0.3861 0.5379 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] window : 0.6038 0.7765 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] toilet : 0.9480 0.9702 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] bookshelf : 0.4762 0.6395 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] monitor : 0.8690 0.9301 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] curtain : 0.7275 0.8543 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] book : 0.4564 0.7081 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] armchair : 0.5531 0.7192 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] coffee table : 0.6202 0.7374 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] box : 0.3313 0.4436 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] refrigerator : 0.6859 0.7462 +[2025-03-11 06:38:33,768 INFO hook.py line 689 2389709] lamp : 0.6854 0.8260 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] kitchen cabinet: 0.6728 0.7629 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] towel : 0.5501 0.7066 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] clothes : 0.2141 0.4057 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] tv : 0.8923 0.9336 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] nightstand : 0.6938 0.8580 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] counter : 0.3104 0.4870 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] dresser : 0.4403 0.6147 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] stool : 0.5800 0.7392 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] plant : 0.7558 0.8860 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] ceiling : 0.9305 0.9636 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] bathtub : 0.8835 0.9174 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] end table : 0.2718 0.3822 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] dining table : 0.0311 0.0452 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] keyboard : 0.4300 0.5679 +[2025-03-11 06:38:33,769 INFO hook.py line 689 2389709] bag : 0.2463 0.3468 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] backpack : 0.6404 0.7296 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] toilet paper : 0.4877 0.5955 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] printer : 0.4672 0.6060 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] tv stand : 0.3170 0.4121 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] whiteboard : 0.5062 0.6895 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] blanket : 0.0466 0.0693 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] shower curtain : 0.7047 0.7773 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] trash can : 0.6349 0.8465 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] closet : 0.1099 0.1645 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] stairs : 0.5131 0.6941 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] microwave : 0.5705 0.7607 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] stove : 0.6402 0.8545 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] shoe : 0.5132 0.6751 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] computer tower : 0.5436 0.7987 +[2025-03-11 06:38:33,770 INFO hook.py line 689 2389709] bottle : 0.1348 0.2648 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] bin : 0.0004 0.0007 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] ottoman : 0.3972 0.4247 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] bench : 0.4676 0.5206 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] board : 0.2127 0.3384 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] washing machine: 0.8520 0.9477 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] mirror : 0.3968 0.4879 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] copier : 0.8670 0.9456 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] sofa chair : 0.1355 0.1927 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] file cabinet : 0.4466 0.5596 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] fan : 0.3712 0.4425 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] laptop : 0.5368 0.7346 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] shower : 0.2889 0.3079 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] paper : 0.0676 0.0933 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] person : 0.3250 0.6144 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] paper towel dispenser: 0.5791 0.8409 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] oven : 0.1352 0.1562 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] blinds : 0.0000 0.0000 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] blackboard : 0.5816 0.6590 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] piano : 0.4714 0.6305 +[2025-03-11 06:38:33,771 INFO hook.py line 689 2389709] suitcase : 0.6342 0.8002 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] rail : 0.0427 0.0459 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] radiator : 0.6634 0.7258 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] recycling bin : 0.4894 0.6425 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] container : 0.0034 0.0061 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] wardrobe : 0.1430 0.1970 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] soap dispenser : 0.8357 0.9149 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] telephone : 0.2891 0.3884 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] bucket : 0.3750 0.5628 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] clock : 0.2455 0.2883 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] light : 0.0584 0.0672 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] laundry basket : 0.0395 0.0455 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] pipe : 0.0368 0.0630 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] clothes dryer : 0.6291 0.6407 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] guitar : 0.7794 0.8385 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] toilet paper holder: 0.0399 0.1250 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] column : 0.0008 0.0009 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] ladder : 0.5736 0.6164 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] bathroom stall : 0.4311 0.4928 +[2025-03-11 06:38:33,772 INFO hook.py line 689 2389709] shower wall : 0.4494 0.5821 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] cup : 0.1786 0.2988 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] jacket : 0.1946 0.2532 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] storage bin : 0.0014 0.0018 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] coffee maker : 0.7658 0.9247 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] dishwasher : 0.2902 0.4092 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] paper towel roll: 0.3317 0.3910 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] mat : 0.1912 0.2032 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] windowsill : 0.1016 0.1098 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] bar : 0.1774 0.2904 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] toaster : 0.4623 0.7853 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] bulletin board : 0.2421 0.4198 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] ironing board : 0.1641 0.1802 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] fireplace : 0.5760 0.6010 +[2025-03-11 06:38:33,774 INFO hook.py line 689 2389709] soap dish : 0.3671 0.5166 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] kitchen counter: 0.5486 0.6600 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] doorframe : 0.4261 0.6480 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4595 0.5846 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] mini fridge : 0.3416 0.3822 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] fire extinguisher: 0.2311 0.2589 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] ball : 0.5397 0.7268 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] shower curtain rod: 0.3944 0.9217 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] water cooler : 0.6831 0.8982 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] paper cutter : 0.2813 0.3418 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] tray : 0.0781 0.1033 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] shower door : 0.2442 0.2965 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] ledge : 0.0501 0.0723 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] mouse : 0.1391 0.5714 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7611 0.8158 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] cart : 0.1521 0.1729 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:38:33,775 INFO hook.py line 689 2389709] scale : 0.4671 0.9400 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] tissue box : 0.2568 0.3224 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] light switch : 0.0315 0.0642 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] power outlet : 0.2347 0.2817 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] decoration : 0.2779 0.4687 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] projector : 0.0732 1.0000 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] closet door : 0.0691 0.0772 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] vacuum cleaner : 0.8467 0.9861 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] plunger : 0.5244 0.9710 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] headphones : 0.0133 0.0175 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] dish rack : 0.8073 0.9702 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] broom : 0.0844 0.1147 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] range hood : 0.7441 0.9058 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] dustpan : 0.0884 0.2019 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] handicap bar : 0.0270 0.3599 +[2025-03-11 06:38:33,776 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] vent : 0.1761 0.1904 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] shower floor : 0.8709 0.9967 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] mailbox : 0.4597 0.4727 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] bowl : 0.1927 0.2221 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] paper bag : 0.1293 0.1598 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] divider : 0.4665 0.5133 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] bathroom counter: 0.2538 0.2937 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] object : 0.0429 0.0728 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] bathroom vanity: 0.5596 0.8197 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] closet wall : 0.0217 0.0296 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] laundry hamper : 0.0273 0.0295 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] bathroom stall door: 0.6228 0.7850 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] ceiling light : 0.4221 0.5443 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] trash bin : 0.2353 0.3070 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] dumbbell : 0.7162 0.9720 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] stair rail : 0.1371 0.1618 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] tube : 0.0911 0.1109 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] bathroom cabinet: 0.5985 0.7832 +[2025-03-11 06:38:33,777 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] closet rod : 0.5655 0.8608 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] coffee kettle : 0.4167 0.4858 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] shower head : 0.3066 0.3764 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] case of water bottles: 0.1053 0.1055 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] coat rack : 0.0031 0.0096 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] fire alarm : 0.0074 0.0244 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] poster : 0.0004 0.0004 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:38:33,778 INFO hook.py line 689 2389709] mattress : 0.0119 0.0120 +[2025-03-11 06:38:33,778 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:38:33,778 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3277/0.4210/0.8273. +[2025-03-11 06:38:33,782 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:38:33,799 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3281 +[2025-03-11 06:38:33,800 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:39:04,382 INFO hook.py line 566 2389709] Train: [96/100][50/300] Data 0.003 (0.003) Batch 0.544 (0.491) Remain 00:11:51 loss: 0.2525 Lr: 3.28031e-05 +[2025-03-11 06:39:29,153 INFO hook.py line 566 2389709] Train: [96/100][100/300] Data 0.003 (0.003) Batch 0.448 (0.493) Remain 00:11:30 loss: 0.2887 Lr: 3.06329e-05 +[2025-03-11 06:39:54,021 INFO hook.py line 566 2389709] Train: [96/100][150/300] Data 0.002 (0.003) Batch 0.564 (0.495) Remain 00:11:07 loss: 0.4655 Lr: 2.85376e-05 +[2025-03-11 06:40:18,695 INFO hook.py line 566 2389709] Train: [96/100][200/300] Data 0.004 (0.003) Batch 0.456 (0.494) Remain 00:10:42 loss: 0.4328 Lr: 2.65174e-05 +[2025-03-11 06:40:43,418 INFO hook.py line 566 2389709] Train: [96/100][250/300] Data 0.003 (0.003) Batch 0.528 (0.494) Remain 00:10:17 loss: 0.3077 Lr: 2.45724e-05 +[2025-03-11 06:41:07,271 INFO hook.py line 566 2389709] Train: [96/100][300/300] Data 0.001 (0.003) Batch 0.536 (0.491) Remain 00:09:49 loss: 0.4282 Lr: 2.27026e-05 +[2025-03-11 06:41:07,272 INFO misc.py line 135 2389709] Train result: loss: 0.4006 +[2025-03-11 06:41:07,370 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:42:01,914 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2825 +[2025-03-11 06:42:01,973 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2654 +[2025-03-11 06:42:02,008 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4642 +[2025-03-11 06:42:02,060 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4328 +[2025-03-11 06:42:02,100 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8642 +[2025-03-11 06:42:02,163 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0866 +[2025-03-11 06:42:02,225 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7912 +[2025-03-11 06:42:02,260 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2267 +[2025-03-11 06:42:02,305 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2254 +[2025-03-11 06:42:02,350 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2571 +[2025-03-11 06:42:02,398 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1620 +[2025-03-11 06:42:02,432 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3846 +[2025-03-11 06:42:02,484 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0649 +[2025-03-11 06:42:02,524 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4710 +[2025-03-11 06:42:02,568 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.1752 +[2025-03-11 06:42:02,618 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0716 +[2025-03-11 06:42:02,657 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5181 +[2025-03-11 06:42:02,689 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0720 +[2025-03-11 06:42:02,740 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5247 +[2025-03-11 06:42:02,777 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7573 +[2025-03-11 06:42:02,814 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6898 +[2025-03-11 06:42:02,856 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9350 +[2025-03-11 06:42:02,897 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4751 +[2025-03-11 06:42:02,952 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0901 +[2025-03-11 06:42:02,998 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5171 +[2025-03-11 06:42:03,041 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4735 +[2025-03-11 06:42:03,096 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0381 +[2025-03-11 06:42:03,133 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8119 +[2025-03-11 06:42:03,174 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1483 +[2025-03-11 06:42:03,234 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.4983 +[2025-03-11 06:42:03,292 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4736 +[2025-03-11 06:42:03,326 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6737 +[2025-03-11 06:42:03,388 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7432 +[2025-03-11 06:42:03,432 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3281 +[2025-03-11 06:42:03,485 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2613 +[2025-03-11 06:42:03,535 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7337 +[2025-03-11 06:42:03,572 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.0997 +[2025-03-11 06:42:03,602 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9868 +[2025-03-11 06:42:03,670 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3471 +[2025-03-11 06:42:03,725 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3930 +[2025-03-11 06:42:03,785 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3867 +[2025-03-11 06:42:03,813 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4291 +[2025-03-11 06:42:03,850 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.3136 +[2025-03-11 06:42:03,911 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8415 +[2025-03-11 06:42:03,946 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.3545 +[2025-03-11 06:42:03,995 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2095 +[2025-03-11 06:42:04,036 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8920 +[2025-03-11 06:42:04,069 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0236 +[2025-03-11 06:42:04,100 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.8665 +[2025-03-11 06:42:04,133 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4475 +[2025-03-11 06:42:04,165 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.2636 +[2025-03-11 06:42:04,200 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7762 +[2025-03-11 06:42:04,228 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4249 +[2025-03-11 06:42:04,267 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.3147 +[2025-03-11 06:42:04,305 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4836 +[2025-03-11 06:42:04,350 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8620 +[2025-03-11 06:42:04,384 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.4140 +[2025-03-11 06:42:04,413 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7434 +[2025-03-11 06:42:04,452 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9277 +[2025-03-11 06:42:04,488 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5115 +[2025-03-11 06:42:04,515 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7993 +[2025-03-11 06:42:04,551 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1568 +[2025-03-11 06:42:04,588 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.1708 +[2025-03-11 06:42:04,648 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9940 +[2025-03-11 06:42:04,677 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4595 +[2025-03-11 06:42:04,721 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3155 +[2025-03-11 06:42:04,761 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8700 +[2025-03-11 06:42:04,796 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0702 +[2025-03-11 06:42:04,827 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3805 +[2025-03-11 06:42:04,887 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1634 +[2025-03-11 06:42:04,935 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.7655 +[2025-03-11 06:42:04,990 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0031 +[2025-03-11 06:42:05,044 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7445 +[2025-03-11 06:42:05,087 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7450 +[2025-03-11 06:42:05,138 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6356 +[2025-03-11 06:42:05,166 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0481 +[2025-03-11 06:42:05,225 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5427 +[2025-03-11 06:42:05,252 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2877 +[2025-03-11 06:42:06,467 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:42:06,468 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:42:06,468 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] wall : 0.7996 0.9272 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] chair : 0.7321 0.8666 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] floor : 0.9600 0.9834 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] table : 0.6416 0.7838 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] door : 0.6706 0.7962 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] couch : 0.7976 0.9205 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] cabinet : 0.3852 0.5938 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] shelf : 0.4226 0.5739 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] desk : 0.5930 0.8052 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] office chair : 0.1678 0.2529 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] bed : 0.8039 0.8866 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] pillow : 0.5649 0.7967 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] sink : 0.6787 0.7880 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] picture : 0.3866 0.5299 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] window : 0.6063 0.7820 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] toilet : 0.9518 0.9695 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] bookshelf : 0.4782 0.6432 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] monitor : 0.8675 0.9306 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] curtain : 0.7246 0.8572 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] book : 0.4586 0.7023 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] armchair : 0.5668 0.7385 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] coffee table : 0.6274 0.7457 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] box : 0.3293 0.4442 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] refrigerator : 0.6842 0.7368 +[2025-03-11 06:42:06,468 INFO hook.py line 689 2389709] lamp : 0.6854 0.8280 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] kitchen cabinet: 0.6721 0.7633 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] towel : 0.5456 0.7102 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] clothes : 0.2166 0.4012 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] tv : 0.8918 0.9327 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] nightstand : 0.7048 0.8674 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] counter : 0.3203 0.5066 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] dresser : 0.4389 0.5956 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] stool : 0.5813 0.7505 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] plant : 0.7667 0.8859 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] ceiling : 0.9309 0.9652 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] bathtub : 0.8855 0.9164 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] end table : 0.2410 0.3426 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] dining table : 0.0433 0.0634 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] keyboard : 0.4369 0.5732 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] bag : 0.2115 0.2930 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] backpack : 0.6391 0.7238 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] toilet paper : 0.4928 0.6106 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] printer : 0.4660 0.6144 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] tv stand : 0.3104 0.4045 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] whiteboard : 0.5010 0.6892 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] blanket : 0.0493 0.0725 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] shower curtain : 0.7077 0.7768 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] trash can : 0.6396 0.8435 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] closet : 0.1122 0.1598 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] stairs : 0.5008 0.6957 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] microwave : 0.5667 0.7537 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] stove : 0.6467 0.8631 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] shoe : 0.5213 0.6561 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] computer tower : 0.5463 0.7973 +[2025-03-11 06:42:06,469 INFO hook.py line 689 2389709] bottle : 0.1289 0.2580 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] bin : 0.0000 0.0000 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] ottoman : 0.3683 0.3870 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] bench : 0.4809 0.5350 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] board : 0.2152 0.3341 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] washing machine: 0.8544 0.9468 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] mirror : 0.3968 0.4779 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] copier : 0.8624 0.9449 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] sofa chair : 0.1623 0.2277 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] file cabinet : 0.4415 0.5526 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] fan : 0.3623 0.4461 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] laptop : 0.5151 0.7321 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] shower : 0.2473 0.2554 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] paper : 0.0488 0.0674 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] person : 0.3334 0.6147 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] paper towel dispenser: 0.5722 0.8541 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] oven : 0.1413 0.1668 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] blinds : 0.0006 0.0007 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] blackboard : 0.5825 0.6540 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] piano : 0.4714 0.6186 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] suitcase : 0.6454 0.8193 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] rail : 0.0398 0.0424 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] radiator : 0.6492 0.7021 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] recycling bin : 0.4955 0.6611 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] container : 0.0040 0.0073 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] wardrobe : 0.1484 0.2066 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] soap dispenser : 0.8417 0.9169 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] telephone : 0.2848 0.3911 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] bucket : 0.3578 0.5222 +[2025-03-11 06:42:06,470 INFO hook.py line 689 2389709] clock : 0.2544 0.3013 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] light : 0.0530 0.0592 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] laundry basket : 0.0326 0.0367 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] pipe : 0.0327 0.0542 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] clothes dryer : 0.6096 0.6182 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] guitar : 0.7905 0.8511 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] toilet paper holder: 0.0434 0.1262 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] column : 0.0061 0.0067 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] ladder : 0.5663 0.6252 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] bathroom stall : 0.4301 0.4877 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] shower wall : 0.4567 0.6051 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] cup : 0.1872 0.3137 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] jacket : 0.1918 0.2535 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] storage bin : 0.0004 0.0005 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] coffee maker : 0.8098 0.9478 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] dishwasher : 0.2654 0.3750 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] paper towel roll: 0.3355 0.3931 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] mat : 0.2095 0.2230 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] windowsill : 0.1028 0.1116 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] bar : 0.1788 0.3157 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] toaster : 0.4628 0.8293 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] bulletin board : 0.2434 0.4201 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] ironing board : 0.1517 0.1682 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] fireplace : 0.6123 0.6408 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] soap dish : 0.3656 0.5135 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] kitchen counter: 0.5475 0.6593 +[2025-03-11 06:42:06,471 INFO hook.py line 689 2389709] doorframe : 0.4295 0.6670 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4869 0.5941 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] mini fridge : 0.3333 0.3611 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] fire extinguisher: 0.2371 0.2820 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] ball : 0.5572 0.7163 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] shower curtain rod: 0.3950 0.9175 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] water cooler : 0.7181 0.8759 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] paper cutter : 0.2754 0.3216 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] tray : 0.0781 0.1019 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] shower door : 0.2565 0.3117 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] ledge : 0.0471 0.0680 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] mouse : 0.1246 0.4934 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7642 0.8293 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] cart : 0.1709 0.1962 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] scale : 0.4661 0.9361 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] tissue box : 0.2250 0.2792 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] light switch : 0.0255 0.0590 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] power outlet : 0.2571 0.3625 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] decoration : 0.2579 0.3830 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] projector : 0.0778 1.0000 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] closet door : 0.0867 0.0974 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] vacuum cleaner : 0.8637 0.9811 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] plunger : 0.5656 0.9776 +[2025-03-11 06:42:06,472 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] headphones : 0.0197 0.0259 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] dish rack : 0.8117 0.9761 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] broom : 0.0815 0.1088 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] range hood : 0.7775 0.9067 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] dustpan : 0.0958 0.1855 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] handicap bar : 0.0237 0.3068 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] vent : 0.2120 0.2322 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] shower floor : 0.8812 0.9950 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] mailbox : 0.4648 0.4804 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] bowl : 0.1985 0.2372 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] paper bag : 0.1149 0.1495 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] divider : 0.4618 0.5098 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] bathroom counter: 0.2577 0.3062 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] object : 0.0456 0.0798 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] bathroom vanity: 0.5511 0.8203 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] closet wall : 0.0217 0.0294 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] laundry hamper : 0.0180 0.0192 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] bathroom stall door: 0.6224 0.7763 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] ceiling light : 0.4186 0.5387 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] trash bin : 0.2481 0.3233 +[2025-03-11 06:42:06,473 INFO hook.py line 689 2389709] dumbbell : 0.6820 0.9780 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] stair rail : 0.1375 0.1610 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] tube : 0.0892 0.1099 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] bathroom cabinet: 0.5822 0.7522 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] closet rod : 0.5967 0.8512 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] coffee kettle : 0.4265 0.4918 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] shower head : 0.3140 0.3952 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] case of water bottles: 0.1107 0.1111 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] coat rack : 0.0102 0.0264 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] fire alarm : 0.0067 0.0227 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] poster : 0.0001 0.0002 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:42:06,474 INFO hook.py line 689 2389709] mattress : 0.0129 0.0129 +[2025-03-11 06:42:06,474 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:42:06,474 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3288/0.4206/0.8284. +[2025-03-11 06:42:06,475 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:42:06,495 INFO misc.py line 159 2389709] Best validation mIoU updated to: 0.3288 +[2025-03-11 06:42:06,495 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3288 +[2025-03-11 06:42:06,496 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:42:37,316 INFO hook.py line 566 2389709] Train: [97/100][50/300] Data 0.002 (0.002) Batch 0.472 (0.495) Remain 00:09:29 loss: 0.4135 Lr: 2.09080e-05 +[2025-03-11 06:43:02,009 INFO hook.py line 566 2389709] Train: [97/100][100/300] Data 0.002 (0.002) Batch 0.533 (0.494) Remain 00:09:03 loss: 0.2534 Lr: 1.91888e-05 +[2025-03-11 06:43:26,936 INFO hook.py line 566 2389709] Train: [97/100][150/300] Data 0.002 (0.002) Batch 0.459 (0.496) Remain 00:08:40 loss: 0.2620 Lr: 1.75449e-05 +[2025-03-11 06:43:51,293 INFO hook.py line 566 2389709] Train: [97/100][200/300] Data 0.003 (0.002) Batch 0.450 (0.494) Remain 00:08:13 loss: 0.6191 Lr: 1.59764e-05 +[2025-03-11 06:44:16,189 INFO hook.py line 566 2389709] Train: [97/100][250/300] Data 0.004 (0.002) Batch 0.494 (0.494) Remain 00:07:49 loss: 0.6711 Lr: 1.44834e-05 +[2025-03-11 06:44:39,981 INFO hook.py line 566 2389709] Train: [97/100][300/300] Data 0.002 (0.002) Batch 0.447 (0.491) Remain 00:07:22 loss: 0.2966 Lr: 1.30659e-05 +[2025-03-11 06:44:39,981 INFO misc.py line 135 2389709] Train result: loss: 0.3921 +[2025-03-11 06:44:40,077 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:45:28,373 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2600 +[2025-03-11 06:45:28,421 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2667 +[2025-03-11 06:45:28,455 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4652 +[2025-03-11 06:45:28,505 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4507 +[2025-03-11 06:45:28,543 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8592 +[2025-03-11 06:45:28,602 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1158 +[2025-03-11 06:45:28,660 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8202 +[2025-03-11 06:45:28,691 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2610 +[2025-03-11 06:45:28,740 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2528 +[2025-03-11 06:45:28,777 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2236 +[2025-03-11 06:45:28,828 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1943 +[2025-03-11 06:45:28,863 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.4093 +[2025-03-11 06:45:28,914 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0277 +[2025-03-11 06:45:28,955 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4484 +[2025-03-11 06:45:29,000 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2250 +[2025-03-11 06:45:29,045 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0698 +[2025-03-11 06:45:29,083 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5192 +[2025-03-11 06:45:29,120 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0792 +[2025-03-11 06:45:29,168 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5888 +[2025-03-11 06:45:29,204 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7933 +[2025-03-11 06:45:29,240 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.7051 +[2025-03-11 06:45:29,291 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9479 +[2025-03-11 06:45:29,324 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5309 +[2025-03-11 06:45:29,378 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1209 +[2025-03-11 06:45:29,423 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5486 +[2025-03-11 06:45:29,466 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4389 +[2025-03-11 06:45:29,524 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0400 +[2025-03-11 06:45:29,561 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8124 +[2025-03-11 06:45:29,591 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1482 +[2025-03-11 06:45:29,648 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5056 +[2025-03-11 06:45:29,708 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4677 +[2025-03-11 06:45:29,747 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6556 +[2025-03-11 06:45:29,808 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7376 +[2025-03-11 06:45:29,847 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.2877 +[2025-03-11 06:45:29,900 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3006 +[2025-03-11 06:45:29,950 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7727 +[2025-03-11 06:45:29,995 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1353 +[2025-03-11 06:45:30,028 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9938 +[2025-03-11 06:45:30,094 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3836 +[2025-03-11 06:45:30,155 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3883 +[2025-03-11 06:45:30,202 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3889 +[2025-03-11 06:45:30,241 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4277 +[2025-03-11 06:45:30,280 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2133 +[2025-03-11 06:45:30,341 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8538 +[2025-03-11 06:45:30,373 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4334 +[2025-03-11 06:45:30,420 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2141 +[2025-03-11 06:45:30,462 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9233 +[2025-03-11 06:45:30,495 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0142 +[2025-03-11 06:45:30,527 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9513 +[2025-03-11 06:45:30,559 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5112 +[2025-03-11 06:45:30,591 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3126 +[2025-03-11 06:45:30,625 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6719 +[2025-03-11 06:45:30,654 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4576 +[2025-03-11 06:45:30,693 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2884 +[2025-03-11 06:45:30,731 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4780 +[2025-03-11 06:45:30,776 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9354 +[2025-03-11 06:45:30,809 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.2706 +[2025-03-11 06:45:30,837 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7390 +[2025-03-11 06:45:30,876 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9447 +[2025-03-11 06:45:30,911 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5241 +[2025-03-11 06:45:30,938 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7912 +[2025-03-11 06:45:30,974 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1400 +[2025-03-11 06:45:31,010 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2884 +[2025-03-11 06:45:31,070 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0013 +[2025-03-11 06:45:31,097 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4263 +[2025-03-11 06:45:31,140 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3673 +[2025-03-11 06:45:31,180 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8456 +[2025-03-11 06:45:31,216 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0738 +[2025-03-11 06:45:31,246 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3974 +[2025-03-11 06:45:31,307 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1207 +[2025-03-11 06:45:31,354 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8008 +[2025-03-11 06:45:31,409 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9867 +[2025-03-11 06:45:31,463 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7699 +[2025-03-11 06:45:31,505 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8062 +[2025-03-11 06:45:31,557 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6511 +[2025-03-11 06:45:31,584 INFO hook.py line 748 2389709] Test: [76/78] Loss 0.9957 +[2025-03-11 06:45:31,643 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5503 +[2025-03-11 06:45:31,670 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.2682 +[2025-03-11 06:45:32,894 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:45:32,894 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:45:32,894 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] wall : 0.7990 0.9271 +[2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] chair : 0.7345 0.8705 +[2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] floor : 0.9601 0.9836 +[2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] table : 0.6443 0.7885 +[2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] door : 0.6694 0.7961 +[2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] couch : 0.7971 0.9208 +[2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] cabinet : 0.3855 0.5876 +[2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] shelf : 0.4168 0.5607 +[2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] desk : 0.5868 0.7969 +[2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] office chair : 0.1757 0.2590 +[2025-03-11 06:45:32,894 INFO hook.py line 689 2389709] bed : 0.7998 0.8849 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] pillow : 0.5685 0.7887 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] sink : 0.6780 0.7883 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] picture : 0.3892 0.5277 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] window : 0.6038 0.7774 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] toilet : 0.9507 0.9694 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] bookshelf : 0.4783 0.6482 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] monitor : 0.8673 0.9286 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] curtain : 0.7253 0.8544 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] book : 0.4569 0.7115 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] armchair : 0.5653 0.7414 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] coffee table : 0.6306 0.7545 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] box : 0.3321 0.4425 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] refrigerator : 0.6882 0.7403 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] lamp : 0.6804 0.8268 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] kitchen cabinet: 0.6653 0.7571 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] towel : 0.5433 0.7055 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] clothes : 0.2209 0.4144 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] tv : 0.8923 0.9341 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] nightstand : 0.6936 0.8773 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] counter : 0.3139 0.4940 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] dresser : 0.4302 0.5790 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] stool : 0.5792 0.7443 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] plant : 0.7541 0.8874 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] ceiling : 0.9311 0.9650 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] bathtub : 0.8835 0.9166 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] end table : 0.2622 0.3675 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] dining table : 0.0396 0.0484 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] keyboard : 0.4252 0.5620 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] bag : 0.2090 0.2928 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] backpack : 0.6377 0.7120 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] toilet paper : 0.4969 0.6115 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] printer : 0.4764 0.6062 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] tv stand : 0.3255 0.4335 +[2025-03-11 06:45:32,895 INFO hook.py line 689 2389709] whiteboard : 0.5078 0.7054 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] blanket : 0.0457 0.0718 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] shower curtain : 0.7048 0.7703 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] trash can : 0.6376 0.8495 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] closet : 0.1132 0.1639 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] stairs : 0.4982 0.6926 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] microwave : 0.5563 0.7476 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] stove : 0.6443 0.8513 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] shoe : 0.5224 0.6537 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] computer tower : 0.5487 0.7984 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] bottle : 0.1006 0.2013 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] bin : 0.0005 0.0010 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] ottoman : 0.3734 0.3948 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] bench : 0.4344 0.4878 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] board : 0.2131 0.3127 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] washing machine: 0.8594 0.9462 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] mirror : 0.3992 0.4882 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] copier : 0.8615 0.9466 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] sofa chair : 0.1349 0.1843 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] file cabinet : 0.4468 0.5588 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] fan : 0.3700 0.4409 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] laptop : 0.5318 0.7474 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] shower : 0.2571 0.2700 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] paper : 0.0321 0.0450 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] person : 0.3261 0.5918 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] paper towel dispenser: 0.5625 0.8468 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] oven : 0.1644 0.1903 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] blinds : 0.0020 0.0023 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] blackboard : 0.5831 0.6604 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] piano : 0.4897 0.6394 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] suitcase : 0.6453 0.8120 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] rail : 0.0383 0.0409 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] radiator : 0.6631 0.7189 +[2025-03-11 06:45:32,896 INFO hook.py line 689 2389709] recycling bin : 0.4964 0.6509 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] container : 0.0041 0.0085 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] wardrobe : 0.1550 0.2155 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] soap dispenser : 0.8312 0.9116 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] telephone : 0.2889 0.3948 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] bucket : 0.3772 0.5364 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] clock : 0.2523 0.2959 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] light : 0.0632 0.0714 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] laundry basket : 0.0457 0.0511 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] pipe : 0.0339 0.0543 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] clothes dryer : 0.6421 0.6523 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] guitar : 0.7383 0.8022 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] toilet paper holder: 0.0392 0.1407 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] column : 0.0036 0.0041 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] ladder : 0.5641 0.6085 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] bathroom stall : 0.4333 0.4993 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] shower wall : 0.4407 0.5815 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] cup : 0.1689 0.2847 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] jacket : 0.2015 0.2689 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] storage bin : 0.0001 0.0002 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] coffee maker : 0.7952 0.9559 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] dishwasher : 0.2625 0.3919 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] paper towel roll: 0.3352 0.3924 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] mat : 0.1848 0.1968 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] windowsill : 0.1051 0.1158 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] bar : 0.1965 0.3400 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] toaster : 0.4420 0.8041 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] bulletin board : 0.2412 0.4044 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] ironing board : 0.1645 0.1834 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] fireplace : 0.6459 0.6745 +[2025-03-11 06:45:32,897 INFO hook.py line 689 2389709] soap dish : 0.3668 0.5132 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] kitchen counter: 0.5440 0.6637 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] doorframe : 0.4281 0.6592 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4616 0.5670 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] mini fridge : 0.3422 0.3708 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] fire extinguisher: 0.2277 0.2619 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] ball : 0.5186 0.7552 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] shower curtain rod: 0.3957 0.9156 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] water cooler : 0.7336 0.8633 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] paper cutter : 0.2872 0.3395 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] tray : 0.0740 0.1047 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] shower door : 0.2494 0.3019 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] ledge : 0.0477 0.0683 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] mouse : 0.1357 0.5307 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7356 0.8191 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] cart : 0.1705 0.1967 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] scale : 0.4717 0.9348 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] tissue box : 0.2239 0.2821 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] light switch : 0.0295 0.0650 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] power outlet : 0.2574 0.3293 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] decoration : 0.2431 0.3759 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] projector : 0.0700 1.0000 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] closet door : 0.0820 0.0918 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] vacuum cleaner : 0.8583 0.9846 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] plunger : 0.5558 0.9676 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] headphones : 0.0207 0.0278 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] dish rack : 0.8062 0.9713 +[2025-03-11 06:45:32,898 INFO hook.py line 689 2389709] broom : 0.0913 0.1234 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] range hood : 0.7523 0.9089 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] dustpan : 0.0901 0.1757 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] handicap bar : 0.0278 0.3563 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] vent : 0.1714 0.1929 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] shower floor : 0.8820 0.9939 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] mailbox : 0.4729 0.4901 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] bowl : 0.2216 0.2760 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] paper bag : 0.1262 0.1698 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] divider : 0.4579 0.5091 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] bathroom counter: 0.2608 0.3076 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] object : 0.0453 0.0779 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] bathroom vanity: 0.5468 0.8176 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] closet wall : 0.0216 0.0294 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] laundry hamper : 0.0093 0.0098 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] bathroom stall door: 0.6373 0.7735 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] ceiling light : 0.4189 0.5402 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] trash bin : 0.2528 0.3227 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] dumbbell : 0.6886 0.9691 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] stair rail : 0.1270 0.1522 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] tube : 0.0681 0.0834 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] bathroom cabinet: 0.5703 0.7424 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] closet rod : 0.5681 0.8486 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] coffee kettle : 0.4825 0.5587 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] shower head : 0.3367 0.3978 +[2025-03-11 06:45:32,899 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] case of water bottles: 0.1074 0.1083 +[2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] coat rack : 0.0108 0.0286 +[2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] fire alarm : 0.0095 0.0465 +[2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] poster : 0.0004 0.0004 +[2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:45:32,900 INFO hook.py line 689 2389709] mattress : 0.0094 0.0094 +[2025-03-11 06:45:32,900 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:45:32,900 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3279/0.4204/0.8283. +[2025-03-11 06:45:32,900 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:45:32,919 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3288 +[2025-03-11 06:45:32,919 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:46:03,881 INFO hook.py line 566 2389709] Train: [98/100][50/300] Data 0.002 (0.002) Batch 0.445 (0.491) Remain 00:06:57 loss: 0.4081 Lr: 1.17240e-05 +[2025-03-11 06:46:27,696 INFO hook.py line 566 2389709] Train: [98/100][100/300] Data 0.004 (0.002) Batch 0.512 (0.483) Remain 00:06:26 loss: 0.3950 Lr: 1.04577e-05 +[2025-03-11 06:46:52,605 INFO hook.py line 566 2389709] Train: [98/100][150/300] Data 0.002 (0.002) Batch 0.478 (0.488) Remain 00:06:06 loss: 0.3273 Lr: 9.26698e-06 +[2025-03-11 06:47:17,249 INFO hook.py line 566 2389709] Train: [98/100][200/300] Data 0.003 (0.002) Batch 0.486 (0.490) Remain 00:05:42 loss: 0.4077 Lr: 8.15194e-06 +[2025-03-11 06:47:41,941 INFO hook.py line 566 2389709] Train: [98/100][250/300] Data 0.002 (0.002) Batch 0.460 (0.490) Remain 00:05:18 loss: 0.4625 Lr: 7.11261e-06 +[2025-03-11 06:48:05,790 INFO hook.py line 566 2389709] Train: [98/100][300/300] Data 0.001 (0.002) Batch 0.432 (0.488) Remain 00:04:52 loss: 0.3936 Lr: 6.16754e-06 +[2025-03-11 06:48:05,791 INFO misc.py line 135 2389709] Train result: loss: 0.3965 +[2025-03-11 06:48:05,884 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:48:54,263 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2723 +[2025-03-11 06:48:54,310 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2840 +[2025-03-11 06:48:54,348 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4534 +[2025-03-11 06:48:54,411 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4361 +[2025-03-11 06:48:54,461 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8523 +[2025-03-11 06:48:54,527 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.0834 +[2025-03-11 06:48:54,579 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8065 +[2025-03-11 06:48:54,613 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2352 +[2025-03-11 06:48:54,662 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2145 +[2025-03-11 06:48:54,701 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2607 +[2025-03-11 06:48:54,750 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.2004 +[2025-03-11 06:48:54,788 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3306 +[2025-03-11 06:48:54,840 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1382 +[2025-03-11 06:48:54,884 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4999 +[2025-03-11 06:48:54,922 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2495 +[2025-03-11 06:48:54,974 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0692 +[2025-03-11 06:48:55,013 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5299 +[2025-03-11 06:48:55,048 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.1278 +[2025-03-11 06:48:55,096 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5012 +[2025-03-11 06:48:55,134 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7747 +[2025-03-11 06:48:55,169 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6807 +[2025-03-11 06:48:55,209 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9504 +[2025-03-11 06:48:55,240 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.5041 +[2025-03-11 06:48:55,291 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0909 +[2025-03-11 06:48:55,333 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5093 +[2025-03-11 06:48:55,380 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4686 +[2025-03-11 06:48:55,437 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0134 +[2025-03-11 06:48:55,477 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8217 +[2025-03-11 06:48:55,507 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1367 +[2025-03-11 06:48:55,566 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5295 +[2025-03-11 06:48:55,624 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4634 +[2025-03-11 06:48:55,663 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6747 +[2025-03-11 06:48:55,726 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7494 +[2025-03-11 06:48:55,769 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3076 +[2025-03-11 06:48:55,809 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.2927 +[2025-03-11 06:48:55,858 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7710 +[2025-03-11 06:48:55,900 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.1454 +[2025-03-11 06:48:55,932 INFO hook.py line 748 2389709] Test: [38/78] Loss 0.9886 +[2025-03-11 06:48:56,002 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3583 +[2025-03-11 06:48:56,051 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3866 +[2025-03-11 06:48:56,099 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4133 +[2025-03-11 06:48:56,132 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4296 +[2025-03-11 06:48:56,173 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1806 +[2025-03-11 06:48:56,232 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8630 +[2025-03-11 06:48:56,273 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4596 +[2025-03-11 06:48:56,323 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2108 +[2025-03-11 06:48:56,366 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8382 +[2025-03-11 06:48:56,406 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0349 +[2025-03-11 06:48:56,441 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9332 +[2025-03-11 06:48:56,479 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5150 +[2025-03-11 06:48:56,514 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3245 +[2025-03-11 06:48:56,551 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7256 +[2025-03-11 06:48:56,583 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4142 +[2025-03-11 06:48:56,622 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2596 +[2025-03-11 06:48:56,664 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4869 +[2025-03-11 06:48:56,705 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9060 +[2025-03-11 06:48:56,742 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.5156 +[2025-03-11 06:48:56,772 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7431 +[2025-03-11 06:48:56,813 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9114 +[2025-03-11 06:48:56,854 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5269 +[2025-03-11 06:48:56,883 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7884 +[2025-03-11 06:48:56,923 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.0832 +[2025-03-11 06:48:56,960 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2585 +[2025-03-11 06:48:57,017 INFO hook.py line 748 2389709] Test: [64/78] Loss 1.9719 +[2025-03-11 06:48:57,049 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4155 +[2025-03-11 06:48:57,093 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3145 +[2025-03-11 06:48:57,132 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8298 +[2025-03-11 06:48:57,173 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0279 +[2025-03-11 06:48:57,206 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3795 +[2025-03-11 06:48:57,267 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0359 +[2025-03-11 06:48:57,311 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.9181 +[2025-03-11 06:48:57,369 INFO hook.py line 748 2389709] Test: [72/78] Loss 1.9628 +[2025-03-11 06:48:57,426 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7611 +[2025-03-11 06:48:57,469 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.8456 +[2025-03-11 06:48:57,521 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6572 +[2025-03-11 06:48:57,549 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0207 +[2025-03-11 06:48:57,612 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5844 +[2025-03-11 06:48:57,638 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3478 +[2025-03-11 06:48:58,806 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:48:58,806 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:48:58,806 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] wall : 0.7988 0.9288 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] chair : 0.7353 0.8687 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] floor : 0.9602 0.9835 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] table : 0.6471 0.7858 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] door : 0.6694 0.7905 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] couch : 0.7908 0.9206 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] cabinet : 0.3856 0.5915 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] shelf : 0.4209 0.5749 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] desk : 0.5909 0.8039 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] office chair : 0.1714 0.2523 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] bed : 0.8004 0.8858 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] pillow : 0.5719 0.7940 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] sink : 0.6742 0.7821 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] picture : 0.3910 0.5294 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] window : 0.6043 0.7728 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] toilet : 0.9503 0.9703 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] bookshelf : 0.4802 0.6441 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] monitor : 0.8695 0.9302 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] curtain : 0.7267 0.8608 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] book : 0.4601 0.7083 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] armchair : 0.5651 0.7445 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] coffee table : 0.6285 0.7436 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] box : 0.3411 0.4506 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] refrigerator : 0.6923 0.7414 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] lamp : 0.6864 0.8334 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] kitchen cabinet: 0.6687 0.7612 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] towel : 0.5355 0.6955 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] clothes : 0.2120 0.4096 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] tv : 0.8938 0.9346 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] nightstand : 0.7030 0.8857 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] counter : 0.3137 0.4967 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] dresser : 0.4315 0.5867 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] stool : 0.5791 0.7431 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:48:58,807 INFO hook.py line 689 2389709] plant : 0.7538 0.8909 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] ceiling : 0.9312 0.9649 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] bathtub : 0.8863 0.9180 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] end table : 0.2793 0.4058 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] dining table : 0.0404 0.0501 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] keyboard : 0.4335 0.5779 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] bag : 0.2103 0.2910 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] backpack : 0.6387 0.7133 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] toilet paper : 0.5047 0.6112 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] printer : 0.4624 0.5990 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] tv stand : 0.3193 0.4127 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] whiteboard : 0.5158 0.6970 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] blanket : 0.0493 0.0760 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] shower curtain : 0.7081 0.7760 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] trash can : 0.6441 0.8494 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] closet : 0.1125 0.1619 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] stairs : 0.4960 0.6952 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] microwave : 0.5753 0.7544 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] stove : 0.6426 0.8432 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] shoe : 0.5250 0.6669 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] computer tower : 0.5529 0.8022 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] bottle : 0.1417 0.2710 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] bin : 0.0008 0.0015 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] ottoman : 0.3606 0.3810 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] bench : 0.4579 0.5087 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] board : 0.2171 0.3237 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] washing machine: 0.8552 0.9457 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] mirror : 0.3944 0.4854 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] copier : 0.8620 0.9463 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] sofa chair : 0.1463 0.2050 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] file cabinet : 0.4560 0.5755 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] fan : 0.3537 0.4408 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] laptop : 0.5410 0.7495 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] shower : 0.2605 0.2707 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] paper : 0.0536 0.0766 +[2025-03-11 06:48:58,808 INFO hook.py line 689 2389709] person : 0.3214 0.6100 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] paper towel dispenser: 0.5724 0.8425 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] oven : 0.1561 0.1826 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] blinds : 0.0003 0.0004 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] blackboard : 0.5880 0.6575 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] piano : 0.4635 0.6193 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] suitcase : 0.6365 0.8097 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] rail : 0.0414 0.0442 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] radiator : 0.6548 0.7118 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] recycling bin : 0.5001 0.6585 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] container : 0.0047 0.0094 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] wardrobe : 0.1413 0.1945 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] soap dispenser : 0.8318 0.9133 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] telephone : 0.2893 0.3955 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] bucket : 0.3701 0.5007 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] clock : 0.2535 0.2985 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] light : 0.0597 0.0667 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] laundry basket : 0.0291 0.0330 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] pipe : 0.0299 0.0475 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] clothes dryer : 0.6230 0.6336 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] guitar : 0.6986 0.7639 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] toilet paper holder: 0.0491 0.1657 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] column : 0.0018 0.0021 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] ladder : 0.5813 0.6344 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] bathroom stall : 0.4312 0.4949 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] shower wall : 0.4450 0.5822 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] cup : 0.1858 0.3195 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] jacket : 0.1924 0.2532 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] storage bin : 0.0001 0.0002 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] coffee maker : 0.7890 0.9456 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] dishwasher : 0.2828 0.3992 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] paper towel roll: 0.3329 0.3926 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] mat : 0.1893 0.2015 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] windowsill : 0.1099 0.1205 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] bar : 0.1843 0.3196 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] toaster : 0.4824 0.8233 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] bulletin board : 0.2399 0.4008 +[2025-03-11 06:48:58,809 INFO hook.py line 689 2389709] ironing board : 0.1611 0.1792 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] fireplace : 0.6364 0.6655 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] soap dish : 0.3638 0.5094 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] kitchen counter: 0.5431 0.6623 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] doorframe : 0.4291 0.6548 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4693 0.5725 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] mini fridge : 0.3290 0.3515 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] fire extinguisher: 0.2367 0.2667 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] ball : 0.5424 0.7461 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] shower curtain rod: 0.3876 0.9177 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] water cooler : 0.6796 0.8278 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] paper cutter : 0.2889 0.3354 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] tray : 0.0821 0.1119 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] shower door : 0.2444 0.3011 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] ledge : 0.0514 0.0724 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] mouse : 0.1388 0.5625 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7493 0.8231 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] cart : 0.1619 0.1848 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] scale : 0.4856 0.9459 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] tissue box : 0.2297 0.2847 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] light switch : 0.0229 0.0515 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] power outlet : 0.2657 0.3313 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] decoration : 0.2429 0.3660 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] projector : 0.0740 1.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] closet door : 0.0723 0.0811 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] vacuum cleaner : 0.8447 0.9823 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] plunger : 0.5798 0.9839 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] headphones : 0.0223 0.0298 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] dish rack : 0.8212 0.9684 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] broom : 0.0822 0.1114 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] range hood : 0.7526 0.9068 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] dustpan : 0.0814 0.1761 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] handicap bar : 0.0185 0.2330 +[2025-03-11 06:48:58,810 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] vent : 0.2199 0.2384 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] shower floor : 0.8917 0.9950 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] mailbox : 0.4665 0.4849 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] bowl : 0.2015 0.2522 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] paper bag : 0.0846 0.1090 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] divider : 0.4684 0.5212 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] bathroom counter: 0.2596 0.3076 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] object : 0.0443 0.0769 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] bathroom vanity: 0.5460 0.8201 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] closet wall : 0.0215 0.0294 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] laundry hamper : 0.0355 0.0379 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] bathroom stall door: 0.6466 0.7840 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] ceiling light : 0.4176 0.5385 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] trash bin : 0.2433 0.3112 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] dumbbell : 0.7206 0.9781 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] stair rail : 0.1329 0.1544 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] tube : 0.0760 0.0971 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] bathroom cabinet: 0.5608 0.7262 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] closet rod : 0.5161 0.8341 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] coffee kettle : 0.4270 0.4648 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] shower head : 0.3101 0.3811 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] case of water bottles: 0.1198 0.1214 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] coat rack : 0.0050 0.0143 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] fire alarm : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] poster : 0.0004 0.0004 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:48:58,811 INFO hook.py line 689 2389709] mattress : 0.0105 0.0106 +[2025-03-11 06:48:58,811 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:48:58,811 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3281/0.4194/0.8286. +[2025-03-11 06:48:58,812 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:48:58,835 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3288 +[2025-03-11 06:48:58,835 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:49:29,807 INFO hook.py line 566 2389709] Train: [99/100][50/300] Data 0.002 (0.002) Batch 0.533 (0.495) Remain 00:04:32 loss: 0.4692 Lr: 5.27820e-06 +[2025-03-11 06:49:54,047 INFO hook.py line 566 2389709] Train: [99/100][100/300] Data 0.002 (0.002) Batch 0.470 (0.490) Remain 00:04:04 loss: 0.4658 Lr: 4.46464e-06 +[2025-03-11 06:50:18,388 INFO hook.py line 566 2389709] Train: [99/100][150/300] Data 0.002 (0.002) Batch 0.547 (0.489) Remain 00:03:39 loss: 0.3419 Lr: 3.72690e-06 +[2025-03-11 06:50:42,940 INFO hook.py line 566 2389709] Train: [99/100][200/300] Data 0.003 (0.002) Batch 0.522 (0.489) Remain 00:03:15 loss: 0.3335 Lr: 3.06499e-06 +[2025-03-11 06:51:07,906 INFO hook.py line 566 2389709] Train: [99/100][250/300] Data 0.002 (0.002) Batch 0.497 (0.491) Remain 00:02:51 loss: 0.2972 Lr: 2.47894e-06 +[2025-03-11 06:51:31,825 INFO hook.py line 566 2389709] Train: [99/100][300/300] Data 0.002 (0.002) Batch 0.565 (0.489) Remain 00:02:26 loss: 0.7158 Lr: 1.96877e-06 +[2025-03-11 06:51:31,825 INFO misc.py line 135 2389709] Train result: loss: 0.3912 +[2025-03-11 06:51:31,923 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:52:24,258 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2695 +[2025-03-11 06:52:24,299 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2755 +[2025-03-11 06:52:24,334 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4047 +[2025-03-11 06:52:24,389 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4439 +[2025-03-11 06:52:24,428 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8418 +[2025-03-11 06:52:24,487 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1049 +[2025-03-11 06:52:24,539 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.8088 +[2025-03-11 06:52:24,572 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2505 +[2025-03-11 06:52:24,617 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2281 +[2025-03-11 06:52:24,653 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2161 +[2025-03-11 06:52:24,700 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1906 +[2025-03-11 06:52:24,741 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3418 +[2025-03-11 06:52:24,789 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.0897 +[2025-03-11 06:52:24,844 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.5015 +[2025-03-11 06:52:24,888 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2508 +[2025-03-11 06:52:24,940 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0694 +[2025-03-11 06:52:24,980 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5405 +[2025-03-11 06:52:25,018 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0883 +[2025-03-11 06:52:25,065 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5542 +[2025-03-11 06:52:25,098 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.7925 +[2025-03-11 06:52:25,132 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6848 +[2025-03-11 06:52:25,183 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9698 +[2025-03-11 06:52:25,215 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4803 +[2025-03-11 06:52:25,263 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.0924 +[2025-03-11 06:52:25,311 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.5266 +[2025-03-11 06:52:25,360 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.5216 +[2025-03-11 06:52:25,413 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0267 +[2025-03-11 06:52:25,454 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8281 +[2025-03-11 06:52:25,486 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1424 +[2025-03-11 06:52:25,541 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5805 +[2025-03-11 06:52:25,601 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4966 +[2025-03-11 06:52:25,642 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6102 +[2025-03-11 06:52:25,700 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7372 +[2025-03-11 06:52:25,755 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3378 +[2025-03-11 06:52:25,795 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3117 +[2025-03-11 06:52:25,835 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7710 +[2025-03-11 06:52:25,872 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2081 +[2025-03-11 06:52:25,916 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0202 +[2025-03-11 06:52:25,989 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.3968 +[2025-03-11 06:52:26,036 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3969 +[2025-03-11 06:52:26,081 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.4013 +[2025-03-11 06:52:26,110 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4247 +[2025-03-11 06:52:26,150 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.2063 +[2025-03-11 06:52:26,223 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8591 +[2025-03-11 06:52:26,259 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4254 +[2025-03-11 06:52:26,312 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2215 +[2025-03-11 06:52:26,350 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.8463 +[2025-03-11 06:52:26,389 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0080 +[2025-03-11 06:52:26,424 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9446 +[2025-03-11 06:52:26,461 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.5147 +[2025-03-11 06:52:26,490 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3142 +[2025-03-11 06:52:26,529 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.6993 +[2025-03-11 06:52:26,557 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.4242 +[2025-03-11 06:52:26,595 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2746 +[2025-03-11 06:52:26,637 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4882 +[2025-03-11 06:52:26,677 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.8960 +[2025-03-11 06:52:26,714 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3531 +[2025-03-11 06:52:26,743 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7542 +[2025-03-11 06:52:26,785 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9468 +[2025-03-11 06:52:26,820 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5238 +[2025-03-11 06:52:26,847 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.7966 +[2025-03-11 06:52:26,881 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1171 +[2025-03-11 06:52:26,922 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2528 +[2025-03-11 06:52:26,978 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0143 +[2025-03-11 06:52:27,006 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.4648 +[2025-03-11 06:52:27,053 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3753 +[2025-03-11 06:52:27,096 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8558 +[2025-03-11 06:52:27,134 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0613 +[2025-03-11 06:52:27,169 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.4013 +[2025-03-11 06:52:27,233 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.1353 +[2025-03-11 06:52:27,277 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8345 +[2025-03-11 06:52:27,330 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0231 +[2025-03-11 06:52:27,382 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7535 +[2025-03-11 06:52:27,429 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7767 +[2025-03-11 06:52:27,483 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6590 +[2025-03-11 06:52:27,515 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0169 +[2025-03-11 06:52:27,573 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5476 +[2025-03-11 06:52:27,603 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3305 +[2025-03-11 06:52:28,900 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:52:28,900 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:52:28,900 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:52:28,900 INFO hook.py line 689 2389709] wall : 0.7991 0.9294 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] chair : 0.7345 0.8667 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] floor : 0.9602 0.9835 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] table : 0.6450 0.7863 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] door : 0.6721 0.7945 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] couch : 0.7967 0.9188 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] cabinet : 0.3818 0.5889 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] shelf : 0.4186 0.5680 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] desk : 0.5909 0.8011 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] office chair : 0.1707 0.2549 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] bed : 0.8001 0.8838 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] pillow : 0.5711 0.7920 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] sink : 0.6761 0.7840 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] picture : 0.3887 0.5281 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] window : 0.6059 0.7722 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] toilet : 0.9501 0.9683 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] bookshelf : 0.4811 0.6497 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] monitor : 0.8669 0.9296 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] curtain : 0.7277 0.8573 +[2025-03-11 06:52:28,901 INFO hook.py line 689 2389709] book : 0.4562 0.7059 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] armchair : 0.5569 0.7434 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] coffee table : 0.6279 0.7453 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] box : 0.3369 0.4479 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] refrigerator : 0.6805 0.7307 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] lamp : 0.6850 0.8277 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] kitchen cabinet: 0.6687 0.7597 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] towel : 0.5415 0.6967 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] clothes : 0.2122 0.4093 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] tv : 0.8888 0.9299 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] nightstand : 0.6973 0.8772 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] counter : 0.3215 0.5048 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] dresser : 0.4272 0.5819 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] stool : 0.5802 0.7472 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] plant : 0.7482 0.8882 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] ceiling : 0.9316 0.9654 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] bathtub : 0.8864 0.9190 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] end table : 0.2532 0.3654 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] dining table : 0.0323 0.0431 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] keyboard : 0.4275 0.5702 +[2025-03-11 06:52:28,902 INFO hook.py line 689 2389709] bag : 0.1887 0.2603 +[2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] backpack : 0.6393 0.7176 +[2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] toilet paper : 0.4984 0.6117 +[2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] printer : 0.4768 0.6130 +[2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] tv stand : 0.3196 0.4182 +[2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] whiteboard : 0.5081 0.6959 +[2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] blanket : 0.0444 0.0671 +[2025-03-11 06:52:28,903 INFO hook.py line 689 2389709] shower curtain : 0.6986 0.7664 +[2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] trash can : 0.6375 0.8501 +[2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] closet : 0.1118 0.1631 +[2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] stairs : 0.5053 0.7015 +[2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] microwave : 0.5645 0.7610 +[2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] stove : 0.6445 0.8484 +[2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] shoe : 0.5199 0.6610 +[2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] computer tower : 0.5508 0.8051 +[2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] bottle : 0.1401 0.2679 +[2025-03-11 06:52:28,904 INFO hook.py line 689 2389709] bin : 0.0007 0.0014 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] ottoman : 0.3613 0.3864 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] bench : 0.4449 0.4984 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] board : 0.2190 0.3258 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] washing machine: 0.8542 0.9469 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] mirror : 0.3994 0.4913 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] copier : 0.8550 0.9453 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] sofa chair : 0.1456 0.2077 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] file cabinet : 0.4477 0.5657 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] fan : 0.3559 0.4420 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] laptop : 0.5303 0.7265 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] shower : 0.2494 0.2600 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] paper : 0.0450 0.0617 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] person : 0.3150 0.5909 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] paper towel dispenser: 0.5759 0.8480 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] oven : 0.1595 0.1855 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] blinds : 0.0041 0.0046 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] blackboard : 0.5818 0.6548 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] piano : 0.4666 0.6263 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] suitcase : 0.6357 0.8073 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] rail : 0.0394 0.0420 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] radiator : 0.6546 0.7085 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] recycling bin : 0.4915 0.6547 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] container : 0.0013 0.0026 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] wardrobe : 0.1376 0.1893 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] soap dispenser : 0.8360 0.9117 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] telephone : 0.2872 0.3887 +[2025-03-11 06:52:28,905 INFO hook.py line 689 2389709] bucket : 0.3752 0.5364 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] clock : 0.2547 0.2994 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] light : 0.0555 0.0623 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] laundry basket : 0.0251 0.0279 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] pipe : 0.0387 0.0628 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] clothes dryer : 0.6321 0.6439 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] guitar : 0.6816 0.7541 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] toilet paper holder: 0.0448 0.1404 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] ladder : 0.5586 0.6045 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] bathroom stall : 0.4332 0.4960 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] shower wall : 0.4448 0.5793 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] cup : 0.1690 0.3019 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] jacket : 0.1912 0.2531 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] storage bin : 0.0051 0.0068 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] coffee maker : 0.8016 0.9770 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] dishwasher : 0.2690 0.3747 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] paper towel roll: 0.3336 0.3923 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] mat : 0.1914 0.2031 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] windowsill : 0.1094 0.1198 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] bar : 0.1879 0.3164 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] toaster : 0.3596 0.8204 +[2025-03-11 06:52:28,906 INFO hook.py line 689 2389709] bulletin board : 0.2389 0.3963 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] ironing board : 0.1593 0.1741 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] fireplace : 0.6166 0.6435 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] soap dish : 0.3709 0.5148 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] kitchen counter: 0.5418 0.6597 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] doorframe : 0.4309 0.6596 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4527 0.5557 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] mini fridge : 0.3321 0.3597 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] fire extinguisher: 0.2538 0.2852 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] ball : 0.5722 0.7100 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] shower curtain rod: 0.3996 0.9223 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] water cooler : 0.7172 0.8666 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] paper cutter : 0.2908 0.3416 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] tray : 0.0783 0.1046 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] shower door : 0.2447 0.3023 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] ledge : 0.0456 0.0661 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] mouse : 0.1358 0.5348 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7608 0.8230 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] cart : 0.1673 0.1915 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] scale : 0.4672 0.9372 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] tissue box : 0.2161 0.2695 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] light switch : 0.0290 0.0648 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:52:28,907 INFO hook.py line 689 2389709] power outlet : 0.2680 0.3287 +[2025-03-11 06:52:28,913 INFO hook.py line 689 2389709] decoration : 0.2653 0.3806 +[2025-03-11 06:52:28,913 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:52:28,913 INFO hook.py line 689 2389709] projector : 0.0726 1.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] closet door : 0.0758 0.0848 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] vacuum cleaner : 0.8573 0.9834 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] plunger : 0.5537 0.9838 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] headphones : 0.0219 0.0291 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] dish rack : 0.8280 0.9713 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] broom : 0.0925 0.1211 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] range hood : 0.7553 0.9086 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] dustpan : 0.0972 0.2045 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] handicap bar : 0.0253 0.3109 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] vent : 0.2003 0.2154 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] shower floor : 0.8903 0.9950 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] mailbox : 0.4641 0.4794 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] bowl : 0.2662 0.3231 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] paper bag : 0.1376 0.1837 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] divider : 0.4690 0.5231 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] bathroom counter: 0.2602 0.3069 +[2025-03-11 06:52:28,914 INFO hook.py line 689 2389709] object : 0.0463 0.0779 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] bathroom vanity: 0.5483 0.8172 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] closet wall : 0.0219 0.0299 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] laundry hamper : 0.0397 0.0424 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] bathroom stall door: 0.6296 0.7644 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] ceiling light : 0.4255 0.5387 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] trash bin : 0.2460 0.3118 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] dumbbell : 0.7235 0.9782 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] stair rail : 0.1270 0.1501 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] tube : 0.0972 0.1151 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] bathroom cabinet: 0.5765 0.7538 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] closet rod : 0.5836 0.8423 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] coffee kettle : 0.4862 0.5386 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] shower head : 0.3107 0.3801 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] case of water bottles: 0.1106 0.1113 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] coat rack : 0.0072 0.0215 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] fire alarm : 0.0142 0.0455 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] poster : 0.0001 0.0002 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:52:28,915 INFO hook.py line 689 2389709] mattress : 0.0082 0.0083 +[2025-03-11 06:52:28,916 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:52:28,916 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3281/0.4201/0.8283. +[2025-03-11 06:52:28,916 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:52:28,931 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3288 +[2025-03-11 06:52:28,932 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:52:58,945 INFO hook.py line 566 2389709] Train: [100/100][50/300] Data 0.002 (0.002) Batch 0.437 (0.501) Remain 00:02:05 loss: 0.4799 Lr: 1.53449e-06 +[2025-03-11 06:53:23,235 INFO hook.py line 566 2389709] Train: [100/100][100/300] Data 0.002 (0.002) Batch 0.475 (0.493) Remain 00:01:38 loss: 0.4621 Lr: 1.17612e-06 +[2025-03-11 06:53:47,816 INFO hook.py line 566 2389709] Train: [100/100][150/300] Data 0.002 (0.002) Batch 0.546 (0.493) Remain 00:01:13 loss: 0.3581 Lr: 8.93656e-07 +[2025-03-11 06:54:12,236 INFO hook.py line 566 2389709] Train: [100/100][200/300] Data 0.002 (0.002) Batch 0.484 (0.492) Remain 00:00:49 loss: 0.3762 Lr: 6.87119e-07 +[2025-03-11 06:54:36,824 INFO hook.py line 566 2389709] Train: [100/100][250/300] Data 0.002 (0.002) Batch 0.482 (0.492) Remain 00:00:24 loss: 0.3496 Lr: 5.56511e-07 +[2025-03-11 06:55:00,530 INFO hook.py line 566 2389709] Train: [100/100][300/300] Data 0.002 (0.002) Batch 0.432 (0.489) Remain 00:00:00 loss: 0.2598 Lr: 5.01838e-07 +[2025-03-11 06:55:00,530 INFO misc.py line 135 2389709] Train result: loss: 0.4005 +[2025-03-11 06:55:00,631 INFO hook.py line 699 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:55:52,903 INFO hook.py line 748 2389709] Test: [1/78] Loss 0.2987 +[2025-03-11 06:55:52,947 INFO hook.py line 748 2389709] Test: [2/78] Loss 1.2424 +[2025-03-11 06:55:52,985 INFO hook.py line 748 2389709] Test: [3/78] Loss 0.4249 +[2025-03-11 06:55:53,044 INFO hook.py line 748 2389709] Test: [4/78] Loss 0.4472 +[2025-03-11 06:55:53,090 INFO hook.py line 748 2389709] Test: [5/78] Loss 0.8628 +[2025-03-11 06:55:53,148 INFO hook.py line 748 2389709] Test: [6/78] Loss 2.1401 +[2025-03-11 06:55:53,200 INFO hook.py line 748 2389709] Test: [7/78] Loss 0.7998 +[2025-03-11 06:55:53,238 INFO hook.py line 748 2389709] Test: [8/78] Loss 1.2783 +[2025-03-11 06:55:53,286 INFO hook.py line 748 2389709] Test: [9/78] Loss 1.2451 +[2025-03-11 06:55:53,323 INFO hook.py line 748 2389709] Test: [10/78] Loss 1.2644 +[2025-03-11 06:55:53,371 INFO hook.py line 748 2389709] Test: [11/78] Loss 1.1949 +[2025-03-11 06:55:53,413 INFO hook.py line 748 2389709] Test: [12/78] Loss 1.3869 +[2025-03-11 06:55:53,468 INFO hook.py line 748 2389709] Test: [13/78] Loss 1.1424 +[2025-03-11 06:55:53,509 INFO hook.py line 748 2389709] Test: [14/78] Loss 4.4566 +[2025-03-11 06:55:53,549 INFO hook.py line 748 2389709] Test: [15/78] Loss 2.2048 +[2025-03-11 06:55:53,598 INFO hook.py line 748 2389709] Test: [16/78] Loss 0.0719 +[2025-03-11 06:55:53,637 INFO hook.py line 748 2389709] Test: [17/78] Loss 1.5466 +[2025-03-11 06:55:53,676 INFO hook.py line 748 2389709] Test: [18/78] Loss 2.0612 +[2025-03-11 06:55:53,722 INFO hook.py line 748 2389709] Test: [19/78] Loss 2.5336 +[2025-03-11 06:55:53,758 INFO hook.py line 748 2389709] Test: [20/78] Loss 1.8177 +[2025-03-11 06:55:53,794 INFO hook.py line 748 2389709] Test: [21/78] Loss 0.6810 +[2025-03-11 06:55:53,833 INFO hook.py line 748 2389709] Test: [22/78] Loss 1.9917 +[2025-03-11 06:55:53,866 INFO hook.py line 748 2389709] Test: [23/78] Loss 1.4923 +[2025-03-11 06:55:53,923 INFO hook.py line 748 2389709] Test: [24/78] Loss 1.1344 +[2025-03-11 06:55:53,967 INFO hook.py line 748 2389709] Test: [25/78] Loss 1.4758 +[2025-03-11 06:55:54,027 INFO hook.py line 748 2389709] Test: [26/78] Loss 2.4823 +[2025-03-11 06:55:54,082 INFO hook.py line 748 2389709] Test: [27/78] Loss 2.0200 +[2025-03-11 06:55:54,118 INFO hook.py line 748 2389709] Test: [28/78] Loss 0.8397 +[2025-03-11 06:55:54,155 INFO hook.py line 748 2389709] Test: [29/78] Loss 1.1210 +[2025-03-11 06:55:54,209 INFO hook.py line 748 2389709] Test: [30/78] Loss 1.5699 +[2025-03-11 06:55:54,267 INFO hook.py line 748 2389709] Test: [31/78] Loss 0.4761 +[2025-03-11 06:55:54,302 INFO hook.py line 748 2389709] Test: [32/78] Loss 1.6131 +[2025-03-11 06:55:54,359 INFO hook.py line 748 2389709] Test: [33/78] Loss 0.7490 +[2025-03-11 06:55:54,398 INFO hook.py line 748 2389709] Test: [34/78] Loss 1.3051 +[2025-03-11 06:55:54,434 INFO hook.py line 748 2389709] Test: [35/78] Loss 1.3214 +[2025-03-11 06:55:54,474 INFO hook.py line 748 2389709] Test: [36/78] Loss 1.7343 +[2025-03-11 06:55:54,514 INFO hook.py line 748 2389709] Test: [37/78] Loss 2.2507 +[2025-03-11 06:55:54,545 INFO hook.py line 748 2389709] Test: [38/78] Loss 1.0087 +[2025-03-11 06:55:54,612 INFO hook.py line 748 2389709] Test: [39/78] Loss 2.4370 +[2025-03-11 06:55:54,662 INFO hook.py line 748 2389709] Test: [40/78] Loss 1.3730 +[2025-03-11 06:55:54,709 INFO hook.py line 748 2389709] Test: [41/78] Loss 1.3821 +[2025-03-11 06:55:54,743 INFO hook.py line 748 2389709] Test: [42/78] Loss 0.4318 +[2025-03-11 06:55:54,782 INFO hook.py line 748 2389709] Test: [43/78] Loss 1.1687 +[2025-03-11 06:55:54,848 INFO hook.py line 748 2389709] Test: [44/78] Loss 0.8624 +[2025-03-11 06:55:54,881 INFO hook.py line 748 2389709] Test: [45/78] Loss 1.4124 +[2025-03-11 06:55:54,929 INFO hook.py line 748 2389709] Test: [46/78] Loss 1.2071 +[2025-03-11 06:55:54,968 INFO hook.py line 748 2389709] Test: [47/78] Loss 1.9042 +[2025-03-11 06:55:55,002 INFO hook.py line 748 2389709] Test: [48/78] Loss 1.0326 +[2025-03-11 06:55:55,033 INFO hook.py line 748 2389709] Test: [49/78] Loss 1.9328 +[2025-03-11 06:55:55,065 INFO hook.py line 748 2389709] Test: [50/78] Loss 1.4949 +[2025-03-11 06:55:55,094 INFO hook.py line 748 2389709] Test: [51/78] Loss 1.3426 +[2025-03-11 06:55:55,129 INFO hook.py line 748 2389709] Test: [52/78] Loss 1.7502 +[2025-03-11 06:55:55,155 INFO hook.py line 748 2389709] Test: [53/78] Loss 1.3972 +[2025-03-11 06:55:55,189 INFO hook.py line 748 2389709] Test: [54/78] Loss 3.2200 +[2025-03-11 06:55:55,226 INFO hook.py line 748 2389709] Test: [55/78] Loss 1.4859 +[2025-03-11 06:55:55,269 INFO hook.py line 748 2389709] Test: [56/78] Loss 0.9309 +[2025-03-11 06:55:55,302 INFO hook.py line 748 2389709] Test: [57/78] Loss 2.3560 +[2025-03-11 06:55:55,326 INFO hook.py line 748 2389709] Test: [58/78] Loss 0.7406 +[2025-03-11 06:55:55,365 INFO hook.py line 748 2389709] Test: [59/78] Loss 0.9209 +[2025-03-11 06:55:55,401 INFO hook.py line 748 2389709] Test: [60/78] Loss 0.5033 +[2025-03-11 06:55:55,426 INFO hook.py line 748 2389709] Test: [61/78] Loss 0.8034 +[2025-03-11 06:55:55,461 INFO hook.py line 748 2389709] Test: [62/78] Loss 1.1103 +[2025-03-11 06:55:55,497 INFO hook.py line 748 2389709] Test: [63/78] Loss 2.2048 +[2025-03-11 06:55:55,555 INFO hook.py line 748 2389709] Test: [64/78] Loss 2.0368 +[2025-03-11 06:55:55,583 INFO hook.py line 748 2389709] Test: [65/78] Loss 2.3869 +[2025-03-11 06:55:55,626 INFO hook.py line 748 2389709] Test: [66/78] Loss 2.3438 +[2025-03-11 06:55:55,664 INFO hook.py line 748 2389709] Test: [67/78] Loss 0.8296 +[2025-03-11 06:55:55,700 INFO hook.py line 748 2389709] Test: [68/78] Loss 2.0641 +[2025-03-11 06:55:55,730 INFO hook.py line 748 2389709] Test: [69/78] Loss 0.3941 +[2025-03-11 06:55:55,790 INFO hook.py line 748 2389709] Test: [70/78] Loss 1.0926 +[2025-03-11 06:55:55,834 INFO hook.py line 748 2389709] Test: [71/78] Loss 2.8219 +[2025-03-11 06:55:55,888 INFO hook.py line 748 2389709] Test: [72/78] Loss 2.0439 +[2025-03-11 06:55:55,942 INFO hook.py line 748 2389709] Test: [73/78] Loss 0.7442 +[2025-03-11 06:55:55,985 INFO hook.py line 748 2389709] Test: [74/78] Loss 3.7259 +[2025-03-11 06:55:56,036 INFO hook.py line 748 2389709] Test: [75/78] Loss 1.6442 +[2025-03-11 06:55:56,063 INFO hook.py line 748 2389709] Test: [76/78] Loss 1.0115 +[2025-03-11 06:55:56,123 INFO hook.py line 748 2389709] Test: [77/78] Loss 0.5136 +[2025-03-11 06:55:56,149 INFO hook.py line 748 2389709] Test: [78/78] Loss 1.3523 +[2025-03-11 06:55:57,423 INFO hook.py line 674 2389709] ######################################## +[2025-03-11 06:55:57,423 INFO hook.py line 679 2389709] what : mIoU Acc +[2025-03-11 06:55:57,423 INFO hook.py line 680 2389709] ######################################## +[2025-03-11 06:55:57,423 INFO hook.py line 689 2389709] wall : 0.7991 0.9285 +[2025-03-11 06:55:57,423 INFO hook.py line 689 2389709] chair : 0.7338 0.8655 +[2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] floor : 0.9600 0.9835 +[2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] table : 0.6424 0.7806 +[2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] door : 0.6705 0.7942 +[2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] couch : 0.7980 0.9204 +[2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] cabinet : 0.3853 0.5886 +[2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] shelf : 0.4200 0.5693 +[2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] desk : 0.5900 0.8006 +[2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] office chair : 0.1729 0.2601 +[2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] bed : 0.8003 0.8863 +[2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] pillow : 0.5725 0.7914 +[2025-03-11 06:55:57,424 INFO hook.py line 689 2389709] sink : 0.6780 0.7870 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] picture : 0.3890 0.5258 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] window : 0.6045 0.7744 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] toilet : 0.9495 0.9686 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] bookshelf : 0.4807 0.6486 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] monitor : 0.8684 0.9316 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] curtain : 0.7222 0.8567 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] book : 0.4587 0.7102 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] armchair : 0.5687 0.7543 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] coffee table : 0.6299 0.7480 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] box : 0.3367 0.4499 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] refrigerator : 0.6847 0.7373 +[2025-03-11 06:55:57,425 INFO hook.py line 689 2389709] lamp : 0.6857 0.8274 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] kitchen cabinet: 0.6715 0.7619 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] towel : 0.5569 0.7146 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] clothes : 0.2145 0.4154 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] tv : 0.8912 0.9317 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] nightstand : 0.6967 0.8762 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] counter : 0.3158 0.4988 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] dresser : 0.4340 0.5859 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] stool : 0.5857 0.7489 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] cushion : 0.0000 0.0000 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] plant : 0.7493 0.8927 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] ceiling : 0.9314 0.9653 +[2025-03-11 06:55:57,426 INFO hook.py line 689 2389709] bathtub : 0.8844 0.9185 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] end table : 0.2632 0.3799 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] dining table : 0.0368 0.0522 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] keyboard : 0.4412 0.5849 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] bag : 0.2098 0.2900 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] backpack : 0.6442 0.7181 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] toilet paper : 0.4996 0.6067 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] printer : 0.4620 0.6051 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] tv stand : 0.3155 0.4128 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] whiteboard : 0.5170 0.7041 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] blanket : 0.0480 0.0727 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] shower curtain : 0.7017 0.7730 +[2025-03-11 06:55:57,427 INFO hook.py line 689 2389709] trash can : 0.6385 0.8468 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] closet : 0.1105 0.1606 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] stairs : 0.4811 0.6947 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] microwave : 0.5640 0.7566 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] stove : 0.6423 0.8517 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] shoe : 0.5156 0.6582 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] computer tower : 0.5500 0.8006 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] bottle : 0.1188 0.2338 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] bin : 0.0015 0.0027 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] ottoman : 0.3749 0.3961 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] bench : 0.4747 0.5310 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] board : 0.2130 0.3246 +[2025-03-11 06:55:57,428 INFO hook.py line 689 2389709] washing machine: 0.8511 0.9480 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] mirror : 0.4068 0.4921 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] copier : 0.8610 0.9465 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] basket : 0.0000 0.0000 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] sofa chair : 0.1470 0.2054 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] file cabinet : 0.4521 0.5708 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] fan : 0.3519 0.4435 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] laptop : 0.5159 0.7345 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] shower : 0.2540 0.2648 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] paper : 0.0653 0.0899 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] person : 0.3208 0.6050 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] paper towel dispenser: 0.5760 0.8584 +[2025-03-11 06:55:57,429 INFO hook.py line 689 2389709] oven : 0.1385 0.1642 +[2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] blinds : 0.0019 0.0022 +[2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] rack : 0.0000 0.0000 +[2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] plate : 0.0000 0.0000 +[2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] blackboard : 0.5874 0.6583 +[2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] piano : 0.4571 0.5998 +[2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] suitcase : 0.6439 0.8086 +[2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] rail : 0.0420 0.0447 +[2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] radiator : 0.6490 0.7026 +[2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] recycling bin : 0.4931 0.6549 +[2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] container : 0.0040 0.0078 +[2025-03-11 06:55:57,430 INFO hook.py line 689 2389709] wardrobe : 0.1477 0.2048 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] soap dispenser : 0.8358 0.9153 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] telephone : 0.2931 0.3990 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] bucket : 0.3642 0.5330 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] clock : 0.2497 0.2941 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] stand : 0.0000 0.0000 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] light : 0.0563 0.0628 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] laundry basket : 0.0346 0.0389 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] pipe : 0.0323 0.0522 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] clothes dryer : 0.6237 0.6342 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] guitar : 0.7597 0.8165 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] toilet paper holder: 0.0468 0.1525 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] seat : 0.0000 0.0000 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] speaker : 0.0000 0.0000 +[2025-03-11 06:55:57,431 INFO hook.py line 689 2389709] column : 0.0000 0.0000 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] bicycle : 0.0000 0.0000 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] ladder : 0.5637 0.6102 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] bathroom stall : 0.4308 0.4940 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] shower wall : 0.4442 0.5814 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] cup : 0.1799 0.3182 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] jacket : 0.1953 0.2564 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] storage bin : 0.0007 0.0009 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] coffee maker : 0.7889 0.9650 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] dishwasher : 0.2709 0.3952 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] paper towel roll: 0.3266 0.3898 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] machine : 0.0000 0.0000 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] mat : 0.1857 0.1975 +[2025-03-11 06:55:57,432 INFO hook.py line 689 2389709] windowsill : 0.1079 0.1183 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] bar : 0.1919 0.3318 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] toaster : 0.4690 0.8194 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] bulletin board : 0.2495 0.4189 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] ironing board : 0.1691 0.1884 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] fireplace : 0.6189 0.6461 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] soap dish : 0.3642 0.5111 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] kitchen counter: 0.5484 0.6659 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] doorframe : 0.4310 0.6613 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] toilet paper dispenser: 0.4507 0.5511 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] mini fridge : 0.3230 0.3576 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] fire extinguisher: 0.2045 0.2422 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] ball : 0.5366 0.7557 +[2025-03-11 06:55:57,433 INFO hook.py line 689 2389709] hat : 0.0000 0.0000 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] shower curtain rod: 0.3973 0.9161 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] water cooler : 0.6813 0.8641 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] paper cutter : 0.3021 0.3539 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] tray : 0.0732 0.1001 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] shower door : 0.2485 0.3047 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] pillar : 0.0000 0.0000 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] ledge : 0.0481 0.0684 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] toaster oven : 0.0000 0.0000 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] mouse : 0.1287 0.5221 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] toilet seat cover dispenser: 0.7494 0.8240 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] furniture : 0.0000 0.0000 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] cart : 0.1693 0.1951 +[2025-03-11 06:55:57,434 INFO hook.py line 689 2389709] storage container: 0.0000 0.0000 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] scale : 0.4946 0.9400 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] tissue box : 0.2411 0.2992 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] light switch : 0.0234 0.0521 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] crate : 0.0000 0.0000 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] power outlet : 0.2671 0.3379 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] decoration : 0.2874 0.4103 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] sign : 0.0000 0.0000 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] projector : 0.0784 1.0000 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] closet door : 0.0715 0.0798 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] vacuum cleaner : 0.8730 0.9852 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] candle : 0.0000 0.0000 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] plunger : 0.5750 0.9774 +[2025-03-11 06:55:57,435 INFO hook.py line 689 2389709] stuffed animal : 0.0000 0.0000 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] headphones : 0.0182 0.0260 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] dish rack : 0.8341 0.9693 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] broom : 0.0965 0.1306 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] guitar case : 0.0000 0.0000 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] range hood : 0.7519 0.9052 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] dustpan : 0.0912 0.1701 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] hair dryer : 0.0000 0.0000 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] water bottle : 0.0000 0.0000 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] handicap bar : 0.0212 0.2622 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] purse : 0.0000 0.0000 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] vent : 0.1932 0.2123 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] shower floor : 0.8790 0.9978 +[2025-03-11 06:55:57,436 INFO hook.py line 689 2389709] water pitcher : 0.0000 0.0000 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] mailbox : 0.4645 0.4808 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] bowl : 0.2282 0.2935 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] paper bag : 0.1486 0.2024 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] alarm clock : 0.0000 0.0000 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] music stand : 0.0000 0.0000 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] projector screen: 0.0000 0.0000 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] divider : 0.4621 0.5103 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] laundry detergent: 0.0000 0.0000 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] bathroom counter: 0.2634 0.3123 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] object : 0.0457 0.0769 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] bathroom vanity: 0.5516 0.8194 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] closet wall : 0.0217 0.0296 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] laundry hamper : 0.0114 0.0122 +[2025-03-11 06:55:57,437 INFO hook.py line 689 2389709] bathroom stall door: 0.6363 0.7767 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] ceiling light : 0.4208 0.5406 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] trash bin : 0.2485 0.3161 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] dumbbell : 0.6903 0.9781 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] stair rail : 0.1272 0.1471 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] tube : 0.0807 0.0978 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] bathroom cabinet: 0.5944 0.7714 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] cd case : 0.0000 0.0000 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] closet rod : 0.5764 0.8471 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] coffee kettle : 0.4105 0.4727 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] structure : 0.0000 0.0000 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] shower head : 0.3111 0.3825 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] keyboard piano : 0.0000 0.0000 +[2025-03-11 06:55:57,438 INFO hook.py line 689 2389709] case of water bottles: 0.1112 0.1114 +[2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] coat rack : 0.0263 0.0742 +[2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] storage organizer: 0.0000 0.0000 +[2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] folded chair : 0.0000 0.0000 +[2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] fire alarm : 0.0250 0.1087 +[2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] power strip : 0.0000 0.0000 +[2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] calendar : 0.0000 0.0000 +[2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] poster : 0.0001 0.0002 +[2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] potted plant : 0.0000 0.0000 +[2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] luggage : 0.0000 0.0000 +[2025-03-11 06:55:57,439 INFO hook.py line 689 2389709] mattress : 0.0184 0.0185 +[2025-03-11 06:55:57,439 INFO hook.py line 690 2389709] ######################################## +[2025-03-11 06:55:57,439 INFO hook.py line 691 2389709] Overall: mIoU/mAcc/allAcc 0.3287/0.4216/0.8285. +[2025-03-11 06:55:57,440 INFO hook.py line 765 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-11 06:55:57,460 INFO misc.py line 164 2389709] Currently Best mIoU: 0.3288 +[2025-03-11 06:55:57,460 INFO misc.py line 173 2389709] Saving checkpoint to: exp/scannet200/semseg-spunet-base-m5-s1/model/model_last.pth +[2025-03-11 06:55:58,140 INFO hook.py line 771 2389709] Best mIoU: 0.3288 +[2025-03-11 06:55:58,141 INFO misc.py line 259 2389709] >>>>>>>>>>>>>>>> Start Precise Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:55:58,141 INFO test.py line 41 2389709] => Loading config ... +[2025-03-11 06:55:58,141 INFO test.py line 53 2389709] => Building test dataset & dataloader ... +[2025-03-11 06:55:58,142 INFO defaults.py line 68 2389709] Totally 312 x 1 samples in val set. +[2025-03-11 06:55:58,143 INFO misc.py line 270 2389709] => Testing on model_best ... +[2025-03-11 06:55:58,410 INFO test.py line 119 2389709] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-11 06:56:08,928 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 0/109 +[2025-03-11 06:56:08,950 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 1/109 +[2025-03-11 06:56:08,972 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 2/109 +[2025-03-11 06:56:08,994 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 3/109 +[2025-03-11 06:56:09,016 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 4/109 +[2025-03-11 06:56:09,038 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 5/109 +[2025-03-11 06:56:09,060 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 6/109 +[2025-03-11 06:56:09,082 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 7/109 +[2025-03-11 06:56:09,103 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 8/109 +[2025-03-11 06:56:09,126 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 9/109 +[2025-03-11 06:56:09,148 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 10/109 +[2025-03-11 06:56:09,170 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 11/109 +[2025-03-11 06:56:09,192 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 12/109 +[2025-03-11 06:56:09,213 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 13/109 +[2025-03-11 06:56:09,235 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 14/109 +[2025-03-11 06:56:09,257 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 15/109 +[2025-03-11 06:56:09,279 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 16/109 +[2025-03-11 06:56:09,301 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 17/109 +[2025-03-11 06:56:09,322 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 18/109 +[2025-03-11 06:56:09,340 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 19/109 +[2025-03-11 06:56:09,357 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 20/109 +[2025-03-11 06:56:09,375 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 21/109 +[2025-03-11 06:56:09,392 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 22/109 +[2025-03-11 06:56:09,409 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 23/109 +[2025-03-11 06:56:09,426 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 24/109 +[2025-03-11 06:56:09,444 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 25/109 +[2025-03-11 06:56:09,461 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 26/109 +[2025-03-11 06:56:09,478 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 27/109 +[2025-03-11 06:56:09,495 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 28/109 +[2025-03-11 06:56:09,512 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 29/109 +[2025-03-11 06:56:09,529 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 30/109 +[2025-03-11 06:56:09,546 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 31/109 +[2025-03-11 06:56:09,563 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 32/109 +[2025-03-11 06:56:09,579 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 33/109 +[2025-03-11 06:56:09,596 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 34/109 +[2025-03-11 06:56:09,613 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 35/109 +[2025-03-11 06:56:09,630 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 36/109 +[2025-03-11 06:56:09,646 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 37/109 +[2025-03-11 06:56:09,663 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 38/109 +[2025-03-11 06:56:09,680 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 39/109 +[2025-03-11 06:56:09,696 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 40/109 +[2025-03-11 06:56:09,713 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 41/109 +[2025-03-11 06:56:09,730 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 42/109 +[2025-03-11 06:56:09,747 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 43/109 +[2025-03-11 06:56:09,763 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 44/109 +[2025-03-11 06:56:09,780 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 45/109 +[2025-03-11 06:56:09,797 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 46/109 +[2025-03-11 06:56:09,813 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 47/109 +[2025-03-11 06:56:09,830 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 48/109 +[2025-03-11 06:56:09,847 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 49/109 +[2025-03-11 06:56:09,863 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 50/109 +[2025-03-11 06:56:09,880 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 51/109 +[2025-03-11 06:56:09,897 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 52/109 +[2025-03-11 06:56:09,913 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 53/109 +[2025-03-11 06:56:09,930 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 54/109 +[2025-03-11 06:56:09,946 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 55/109 +[2025-03-11 06:56:09,963 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 56/109 +[2025-03-11 06:56:09,980 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 57/109 +[2025-03-11 06:56:09,996 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 58/109 +[2025-03-11 06:56:10,013 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 59/109 +[2025-03-11 06:56:10,030 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 60/109 +[2025-03-11 06:56:10,047 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 61/109 +[2025-03-11 06:56:10,063 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 62/109 +[2025-03-11 06:56:10,080 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 63/109 +[2025-03-11 06:56:10,097 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 64/109 +[2025-03-11 06:56:10,114 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 65/109 +[2025-03-11 06:56:10,130 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 66/109 +[2025-03-11 06:56:10,147 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 67/109 +[2025-03-11 06:56:10,164 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 68/109 +[2025-03-11 06:56:10,181 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 69/109 +[2025-03-11 06:56:10,198 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 70/109 +[2025-03-11 06:56:10,215 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 71/109 +[2025-03-11 06:56:10,232 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 72/109 +[2025-03-11 06:56:10,249 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 73/109 +[2025-03-11 06:56:10,266 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 74/109 +[2025-03-11 06:56:10,283 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 75/109 +[2025-03-11 06:56:10,300 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 76/109 +[2025-03-11 06:56:10,317 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 77/109 +[2025-03-11 06:56:10,334 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 78/109 +[2025-03-11 06:56:10,351 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 79/109 +[2025-03-11 06:56:10,367 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 80/109 +[2025-03-11 06:56:10,384 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 81/109 +[2025-03-11 06:56:10,401 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 82/109 +[2025-03-11 06:56:10,418 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 83/109 +[2025-03-11 06:56:10,435 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 84/109 +[2025-03-11 06:56:10,452 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 85/109 +[2025-03-11 06:56:10,469 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 86/109 +[2025-03-11 06:56:10,486 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 87/109 +[2025-03-11 06:56:10,502 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 88/109 +[2025-03-11 06:56:10,519 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 89/109 +[2025-03-11 06:56:10,536 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 90/109 +[2025-03-11 06:56:10,553 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 91/109 +[2025-03-11 06:56:10,570 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 92/109 +[2025-03-11 06:56:10,587 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 93/109 +[2025-03-11 06:56:10,603 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 94/109 +[2025-03-11 06:56:10,620 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 95/109 +[2025-03-11 06:56:10,637 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 96/109 +[2025-03-11 06:56:10,654 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 97/109 +[2025-03-11 06:56:10,671 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 98/109 +[2025-03-11 06:56:10,688 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 99/109 +[2025-03-11 06:56:10,705 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 100/109 +[2025-03-11 06:56:10,722 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 101/109 +[2025-03-11 06:56:10,739 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 102/109 +[2025-03-11 06:56:10,755 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 103/109 +[2025-03-11 06:56:10,772 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 104/109 +[2025-03-11 06:56:10,789 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 105/109 +[2025-03-11 06:56:10,805 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 106/109 +[2025-03-11 06:56:10,822 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 107/109 +[2025-03-11 06:56:10,839 INFO test.py line 201 2389709] Test: 1/78-scene0406_02, Batch: 108/109 +[2025-03-11 06:56:10,868 INFO test.py line 291 2389709] Test: scene0406_02 [1/78]-41752 Batch 1.978 (1.978) Accuracy 0.9415 (0.0701) mIoU 0.6698 (0.0670) +[2025-03-11 06:56:13,067 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 0/134 +[2025-03-11 06:56:13,102 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 1/134 +[2025-03-11 06:56:13,139 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 2/134 +[2025-03-11 06:56:13,175 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 3/134 +[2025-03-11 06:56:13,210 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 4/134 +[2025-03-11 06:56:13,246 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 5/134 +[2025-03-11 06:56:13,284 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 6/134 +[2025-03-11 06:56:13,323 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 7/134 +[2025-03-11 06:56:13,358 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 8/134 +[2025-03-11 06:56:13,397 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 9/134 +[2025-03-11 06:56:13,440 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 10/134 +[2025-03-11 06:56:13,481 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 11/134 +[2025-03-11 06:56:13,521 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 12/134 +[2025-03-11 06:56:13,556 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 13/134 +[2025-03-11 06:56:13,590 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 14/134 +[2025-03-11 06:56:13,625 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 15/134 +[2025-03-11 06:56:13,686 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 16/134 +[2025-03-11 06:56:13,834 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 17/134 +[2025-03-11 06:56:13,996 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 18/134 +[2025-03-11 06:56:14,068 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 19/134 +[2025-03-11 06:56:14,117 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 20/134 +[2025-03-11 06:56:14,153 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 21/134 +[2025-03-11 06:56:14,188 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 22/134 +[2025-03-11 06:56:14,222 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 23/134 +[2025-03-11 06:56:14,256 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 24/134 +[2025-03-11 06:56:14,290 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 25/134 +[2025-03-11 06:56:14,324 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 26/134 +[2025-03-11 06:56:14,359 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 27/134 +[2025-03-11 06:56:14,393 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 28/134 +[2025-03-11 06:56:14,427 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 29/134 +[2025-03-11 06:56:14,461 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 30/134 +[2025-03-11 06:56:14,496 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 31/134 +[2025-03-11 06:56:14,530 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 32/134 +[2025-03-11 06:56:14,564 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 33/134 +[2025-03-11 06:56:14,598 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 34/134 +[2025-03-11 06:56:14,633 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 35/134 +[2025-03-11 06:56:14,667 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 36/134 +[2025-03-11 06:56:14,701 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 37/134 +[2025-03-11 06:56:14,735 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 38/134 +[2025-03-11 06:56:14,769 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 39/134 +[2025-03-11 06:56:14,803 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 40/134 +[2025-03-11 06:56:14,836 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 41/134 +[2025-03-11 06:56:14,868 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 42/134 +[2025-03-11 06:56:14,901 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 43/134 +[2025-03-11 06:56:14,934 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 44/134 +[2025-03-11 06:56:14,967 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 45/134 +[2025-03-11 06:56:15,000 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 46/134 +[2025-03-11 06:56:15,033 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 47/134 +[2025-03-11 06:56:15,066 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 48/134 +[2025-03-11 06:56:15,099 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 49/134 +[2025-03-11 06:56:15,132 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 50/134 +[2025-03-11 06:56:15,165 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 51/134 +[2025-03-11 06:56:15,197 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 52/134 +[2025-03-11 06:56:15,230 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 53/134 +[2025-03-11 06:56:15,263 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 54/134 +[2025-03-11 06:56:15,295 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 55/134 +[2025-03-11 06:56:15,331 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 56/134 +[2025-03-11 06:56:15,370 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 57/134 +[2025-03-11 06:56:15,408 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 58/134 +[2025-03-11 06:56:15,447 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 59/134 +[2025-03-11 06:56:15,485 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 60/134 +[2025-03-11 06:56:15,524 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 61/134 +[2025-03-11 06:56:15,563 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 62/134 +[2025-03-11 06:56:15,600 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 63/134 +[2025-03-11 06:56:15,637 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 64/134 +[2025-03-11 06:56:15,673 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 65/134 +[2025-03-11 06:56:15,716 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 66/134 +[2025-03-11 06:56:15,754 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 67/134 +[2025-03-11 06:56:15,789 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 68/134 +[2025-03-11 06:56:15,929 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 69/134 +[2025-03-11 06:56:16,090 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 70/134 +[2025-03-11 06:56:16,199 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 71/134 +[2025-03-11 06:56:16,304 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 72/134 +[2025-03-11 06:56:16,445 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 73/134 +[2025-03-11 06:56:16,563 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 74/134 +[2025-03-11 06:56:16,665 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 75/134 +[2025-03-11 06:56:16,703 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 76/134 +[2025-03-11 06:56:16,732 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 77/134 +[2025-03-11 06:56:16,762 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 78/134 +[2025-03-11 06:56:16,792 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 79/134 +[2025-03-11 06:56:16,822 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 80/134 +[2025-03-11 06:56:16,852 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 81/134 +[2025-03-11 06:56:16,885 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 82/134 +[2025-03-11 06:56:16,918 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 83/134 +[2025-03-11 06:56:16,951 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 84/134 +[2025-03-11 06:56:16,984 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 85/134 +[2025-03-11 06:56:17,017 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 86/134 +[2025-03-11 06:56:17,050 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 87/134 +[2025-03-11 06:56:17,086 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 88/134 +[2025-03-11 06:56:17,121 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 89/134 +[2025-03-11 06:56:17,157 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 90/134 +[2025-03-11 06:56:17,191 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 91/134 +[2025-03-11 06:56:17,226 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 92/134 +[2025-03-11 06:56:17,262 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 93/134 +[2025-03-11 06:56:17,296 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 94/134 +[2025-03-11 06:56:17,331 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 95/134 +[2025-03-11 06:56:17,366 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 96/134 +[2025-03-11 06:56:17,401 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 97/134 +[2025-03-11 06:56:17,436 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 98/134 +[2025-03-11 06:56:17,471 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 99/134 +[2025-03-11 06:56:17,508 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 100/134 +[2025-03-11 06:56:17,542 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 101/134 +[2025-03-11 06:56:17,579 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 102/134 +[2025-03-11 06:56:17,615 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 103/134 +[2025-03-11 06:56:17,650 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 104/134 +[2025-03-11 06:56:17,685 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 105/134 +[2025-03-11 06:56:17,720 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 106/134 +[2025-03-11 06:56:17,756 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 107/134 +[2025-03-11 06:56:17,791 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 108/134 +[2025-03-11 06:56:17,826 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 109/134 +[2025-03-11 06:56:17,860 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 110/134 +[2025-03-11 06:56:17,896 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 111/134 +[2025-03-11 06:56:17,931 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 112/134 +[2025-03-11 06:56:17,966 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 113/134 +[2025-03-11 06:56:18,001 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 114/134 +[2025-03-11 06:56:18,036 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 115/134 +[2025-03-11 06:56:18,071 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 116/134 +[2025-03-11 06:56:18,105 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 117/134 +[2025-03-11 06:56:18,139 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 118/134 +[2025-03-11 06:56:18,174 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 119/134 +[2025-03-11 06:56:18,208 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 120/134 +[2025-03-11 06:56:18,244 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 121/134 +[2025-03-11 06:56:18,278 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 122/134 +[2025-03-11 06:56:18,314 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 123/134 +[2025-03-11 06:56:18,347 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 124/134 +[2025-03-11 06:56:18,381 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 125/134 +[2025-03-11 06:56:18,415 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 126/134 +[2025-03-11 06:56:18,449 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 127/134 +[2025-03-11 06:56:18,483 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 128/134 +[2025-03-11 06:56:18,517 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 129/134 +[2025-03-11 06:56:18,551 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 130/134 +[2025-03-11 06:56:18,585 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 131/134 +[2025-03-11 06:56:18,618 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 132/134 +[2025-03-11 06:56:18,656 INFO test.py line 201 2389709] Test: 2/78-scene0593_00, Batch: 133/134 +[2025-03-11 06:56:18,884 INFO test.py line 291 2389709] Test: scene0593_00 [2/78]-211902 Batch 5.894 (3.936) Accuracy 0.8681 (0.1126) mIoU 0.3870 (0.1021) +[2025-03-11 06:56:18,931 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 0/143 +[2025-03-11 06:56:18,955 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 1/143 +[2025-03-11 06:56:18,980 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 2/143 +[2025-03-11 06:56:19,005 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 3/143 +[2025-03-11 06:56:19,028 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 4/143 +[2025-03-11 06:56:19,053 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 5/143 +[2025-03-11 06:56:19,076 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 6/143 +[2025-03-11 06:56:19,099 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 7/143 +[2025-03-11 06:56:19,123 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 8/143 +[2025-03-11 06:56:19,146 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 9/143 +[2025-03-11 06:56:19,169 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 10/143 +[2025-03-11 06:56:19,194 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 11/143 +[2025-03-11 06:56:19,218 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 12/143 +[2025-03-11 06:56:19,255 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 13/143 +[2025-03-11 06:56:19,289 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 14/143 +[2025-03-11 06:56:19,327 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 15/143 +[2025-03-11 06:56:19,360 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 16/143 +[2025-03-11 06:56:19,388 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 17/143 +[2025-03-11 06:56:19,413 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 18/143 +[2025-03-11 06:56:19,440 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 19/143 +[2025-03-11 06:56:19,466 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 20/143 +[2025-03-11 06:56:19,493 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 21/143 +[2025-03-11 06:56:19,520 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 22/143 +[2025-03-11 06:56:19,547 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 23/143 +[2025-03-11 06:56:19,573 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 24/143 +[2025-03-11 06:56:19,599 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 25/143 +[2025-03-11 06:56:19,624 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 26/143 +[2025-03-11 06:56:19,654 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 27/143 +[2025-03-11 06:56:19,687 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 28/143 +[2025-03-11 06:56:19,732 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 29/143 +[2025-03-11 06:56:19,757 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 30/143 +[2025-03-11 06:56:19,785 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 31/143 +[2025-03-11 06:56:19,825 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 32/143 +[2025-03-11 06:56:19,854 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 33/143 +[2025-03-11 06:56:19,881 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 34/143 +[2025-03-11 06:56:19,906 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 35/143 +[2025-03-11 06:56:19,933 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 36/143 +[2025-03-11 06:56:19,958 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 37/143 +[2025-03-11 06:56:19,984 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 38/143 +[2025-03-11 06:56:20,014 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 39/143 +[2025-03-11 06:56:20,040 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 40/143 +[2025-03-11 06:56:20,074 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 41/143 +[2025-03-11 06:56:20,101 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 42/143 +[2025-03-11 06:56:20,139 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 43/143 +[2025-03-11 06:56:20,165 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 44/143 +[2025-03-11 06:56:20,197 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 45/143 +[2025-03-11 06:56:20,228 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 46/143 +[2025-03-11 06:56:20,269 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 47/143 +[2025-03-11 06:56:20,314 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 48/143 +[2025-03-11 06:56:20,346 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 49/143 +[2025-03-11 06:56:20,379 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 50/143 +[2025-03-11 06:56:20,441 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 51/143 +[2025-03-11 06:56:20,480 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 52/143 +[2025-03-11 06:56:20,515 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 53/143 +[2025-03-11 06:56:20,549 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 54/143 +[2025-03-11 06:56:20,593 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 55/143 +[2025-03-11 06:56:20,639 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 56/143 +[2025-03-11 06:56:20,687 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 57/143 +[2025-03-11 06:56:20,735 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 58/143 +[2025-03-11 06:56:20,770 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 59/143 +[2025-03-11 06:56:20,824 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 60/143 +[2025-03-11 06:56:20,850 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 61/143 +[2025-03-11 06:56:20,875 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 62/143 +[2025-03-11 06:56:20,903 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 63/143 +[2025-03-11 06:56:20,930 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 64/143 +[2025-03-11 06:56:20,954 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 65/143 +[2025-03-11 06:56:20,980 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 66/143 +[2025-03-11 06:56:21,006 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 67/143 +[2025-03-11 06:56:21,032 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 68/143 +[2025-03-11 06:56:21,057 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 69/143 +[2025-03-11 06:56:21,083 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 70/143 +[2025-03-11 06:56:21,126 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 71/143 +[2025-03-11 06:56:21,151 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 72/143 +[2025-03-11 06:56:21,176 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 73/143 +[2025-03-11 06:56:21,201 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 74/143 +[2025-03-11 06:56:21,228 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 75/143 +[2025-03-11 06:56:21,252 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 76/143 +[2025-03-11 06:56:21,278 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 77/143 +[2025-03-11 06:56:21,302 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 78/143 +[2025-03-11 06:56:21,339 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 79/143 +[2025-03-11 06:56:21,363 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 80/143 +[2025-03-11 06:56:21,385 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 81/143 +[2025-03-11 06:56:21,409 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 82/143 +[2025-03-11 06:56:21,431 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 83/143 +[2025-03-11 06:56:21,455 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 84/143 +[2025-03-11 06:56:21,478 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 85/143 +[2025-03-11 06:56:21,500 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 86/143 +[2025-03-11 06:56:21,524 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 87/143 +[2025-03-11 06:56:21,547 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 88/143 +[2025-03-11 06:56:21,573 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 89/143 +[2025-03-11 06:56:21,596 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 90/143 +[2025-03-11 06:56:21,621 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 91/143 +[2025-03-11 06:56:21,645 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 92/143 +[2025-03-11 06:56:21,669 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 93/143 +[2025-03-11 06:56:21,692 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 94/143 +[2025-03-11 06:56:21,716 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 95/143 +[2025-03-11 06:56:21,740 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 96/143 +[2025-03-11 06:56:21,763 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 97/143 +[2025-03-11 06:56:21,790 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 98/143 +[2025-03-11 06:56:21,814 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 99/143 +[2025-03-11 06:56:21,840 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 100/143 +[2025-03-11 06:56:21,865 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 101/143 +[2025-03-11 06:56:21,892 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 102/143 +[2025-03-11 06:56:21,917 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 103/143 +[2025-03-11 06:56:21,943 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 104/143 +[2025-03-11 06:56:21,969 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 105/143 +[2025-03-11 06:56:21,997 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 106/143 +[2025-03-11 06:56:22,022 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 107/143 +[2025-03-11 06:56:22,051 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 108/143 +[2025-03-11 06:56:22,076 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 109/143 +[2025-03-11 06:56:22,102 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 110/143 +[2025-03-11 06:56:22,128 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 111/143 +[2025-03-11 06:56:22,154 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 112/143 +[2025-03-11 06:56:22,180 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 113/143 +[2025-03-11 06:56:22,205 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 114/143 +[2025-03-11 06:56:22,234 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 115/143 +[2025-03-11 06:56:22,261 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 116/143 +[2025-03-11 06:56:22,289 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 117/143 +[2025-03-11 06:56:22,315 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 118/143 +[2025-03-11 06:56:22,351 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 119/143 +[2025-03-11 06:56:22,378 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 120/143 +[2025-03-11 06:56:22,406 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 121/143 +[2025-03-11 06:56:22,432 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 122/143 +[2025-03-11 06:56:22,458 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 123/143 +[2025-03-11 06:56:22,483 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 124/143 +[2025-03-11 06:56:22,511 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 125/143 +[2025-03-11 06:56:22,537 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 126/143 +[2025-03-11 06:56:22,565 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 127/143 +[2025-03-11 06:56:22,590 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 128/143 +[2025-03-11 06:56:22,614 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 129/143 +[2025-03-11 06:56:22,647 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 130/143 +[2025-03-11 06:56:22,672 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 131/143 +[2025-03-11 06:56:22,709 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 132/143 +[2025-03-11 06:56:22,735 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 133/143 +[2025-03-11 06:56:22,767 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 134/143 +[2025-03-11 06:56:22,792 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 135/143 +[2025-03-11 06:56:22,816 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 136/143 +[2025-03-11 06:56:22,842 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 137/143 +[2025-03-11 06:56:22,876 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 138/143 +[2025-03-11 06:56:22,902 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 139/143 +[2025-03-11 06:56:22,937 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 140/143 +[2025-03-11 06:56:22,963 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 141/143 +[2025-03-11 06:56:22,994 INFO test.py line 201 2389709] Test: 3/78-scene0356_01, Batch: 142/143 +[2025-03-11 06:56:23,117 INFO test.py line 291 2389709] Test: scene0356_01 [3/78]-96610 Batch 4.233 (4.035) Accuracy 0.9255 (0.1455) mIoU 0.5719 (0.1316) +[2025-03-11 06:56:23,178 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 0/142 +[2025-03-11 06:56:23,207 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 1/142 +[2025-03-11 06:56:23,237 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 2/142 +[2025-03-11 06:56:23,267 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 3/142 +[2025-03-11 06:56:23,296 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 4/142 +[2025-03-11 06:56:23,324 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 5/142 +[2025-03-11 06:56:23,353 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 6/142 +[2025-03-11 06:56:23,383 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 7/142 +[2025-03-11 06:56:23,412 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 8/142 +[2025-03-11 06:56:23,459 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 9/142 +[2025-03-11 06:56:23,486 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 10/142 +[2025-03-11 06:56:23,515 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 11/142 +[2025-03-11 06:56:23,543 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 12/142 +[2025-03-11 06:56:23,571 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 13/142 +[2025-03-11 06:56:23,598 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 14/142 +[2025-03-11 06:56:23,626 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 15/142 +[2025-03-11 06:56:23,654 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 16/142 +[2025-03-11 06:56:23,689 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 17/142 +[2025-03-11 06:56:23,717 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 18/142 +[2025-03-11 06:56:23,747 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 19/142 +[2025-03-11 06:56:23,775 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 20/142 +[2025-03-11 06:56:23,804 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 21/142 +[2025-03-11 06:56:23,832 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 22/142 +[2025-03-11 06:56:23,861 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 23/142 +[2025-03-11 06:56:23,890 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 24/142 +[2025-03-11 06:56:23,918 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 25/142 +[2025-03-11 06:56:23,945 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 26/142 +[2025-03-11 06:56:23,974 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 27/142 +[2025-03-11 06:56:24,002 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 28/142 +[2025-03-11 06:56:24,029 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 29/142 +[2025-03-11 06:56:24,058 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 30/142 +[2025-03-11 06:56:24,090 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 31/142 +[2025-03-11 06:56:24,118 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 32/142 +[2025-03-11 06:56:24,146 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 33/142 +[2025-03-11 06:56:24,174 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 34/142 +[2025-03-11 06:56:24,203 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 35/142 +[2025-03-11 06:56:24,231 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 36/142 +[2025-03-11 06:56:24,259 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 37/142 +[2025-03-11 06:56:24,287 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 38/142 +[2025-03-11 06:56:24,315 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 39/142 +[2025-03-11 06:56:24,343 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 40/142 +[2025-03-11 06:56:24,371 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 41/142 +[2025-03-11 06:56:24,397 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 42/142 +[2025-03-11 06:56:24,422 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 43/142 +[2025-03-11 06:56:24,448 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 44/142 +[2025-03-11 06:56:24,474 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 45/142 +[2025-03-11 06:56:24,506 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 46/142 +[2025-03-11 06:56:24,537 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 47/142 +[2025-03-11 06:56:24,567 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 48/142 +[2025-03-11 06:56:24,598 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 49/142 +[2025-03-11 06:56:24,635 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 50/142 +[2025-03-11 06:56:24,669 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 51/142 +[2025-03-11 06:56:24,704 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 52/142 +[2025-03-11 06:56:24,738 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 53/142 +[2025-03-11 06:56:24,774 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 54/142 +[2025-03-11 06:56:24,807 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 55/142 +[2025-03-11 06:56:24,841 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 56/142 +[2025-03-11 06:56:24,874 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 57/142 +[2025-03-11 06:56:24,907 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 58/142 +[2025-03-11 06:56:24,943 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 59/142 +[2025-03-11 06:56:24,969 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 60/142 +[2025-03-11 06:56:24,995 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 61/142 +[2025-03-11 06:56:25,021 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 62/142 +[2025-03-11 06:56:25,050 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 63/142 +[2025-03-11 06:56:25,076 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 64/142 +[2025-03-11 06:56:25,102 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 65/142 +[2025-03-11 06:56:25,128 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 66/142 +[2025-03-11 06:56:25,155 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 67/142 +[2025-03-11 06:56:25,183 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 68/142 +[2025-03-11 06:56:25,210 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 69/142 +[2025-03-11 06:56:25,236 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 70/142 +[2025-03-11 06:56:25,262 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 71/142 +[2025-03-11 06:56:25,287 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 72/142 +[2025-03-11 06:56:25,313 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 73/142 +[2025-03-11 06:56:25,339 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 74/142 +[2025-03-11 06:56:25,366 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 75/142 +[2025-03-11 06:56:25,401 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 76/142 +[2025-03-11 06:56:25,427 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 77/142 +[2025-03-11 06:56:25,467 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 78/142 +[2025-03-11 06:56:25,493 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 79/142 +[2025-03-11 06:56:25,525 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 80/142 +[2025-03-11 06:56:25,555 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 81/142 +[2025-03-11 06:56:25,581 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 82/142 +[2025-03-11 06:56:25,607 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 83/142 +[2025-03-11 06:56:25,633 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 84/142 +[2025-03-11 06:56:25,660 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 85/142 +[2025-03-11 06:56:25,688 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 86/142 +[2025-03-11 06:56:25,724 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 87/142 +[2025-03-11 06:56:25,755 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 88/142 +[2025-03-11 06:56:25,782 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 89/142 +[2025-03-11 06:56:25,809 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 90/142 +[2025-03-11 06:56:25,837 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 91/142 +[2025-03-11 06:56:25,866 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 92/142 +[2025-03-11 06:56:25,892 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 93/142 +[2025-03-11 06:56:25,919 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 94/142 +[2025-03-11 06:56:25,950 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 95/142 +[2025-03-11 06:56:25,978 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 96/142 +[2025-03-11 06:56:26,005 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 97/142 +[2025-03-11 06:56:26,032 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 98/142 +[2025-03-11 06:56:26,056 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 99/142 +[2025-03-11 06:56:26,079 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 100/142 +[2025-03-11 06:56:26,103 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 101/142 +[2025-03-11 06:56:26,126 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 102/142 +[2025-03-11 06:56:26,151 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 103/142 +[2025-03-11 06:56:26,174 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 104/142 +[2025-03-11 06:56:26,196 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 105/142 +[2025-03-11 06:56:26,221 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 106/142 +[2025-03-11 06:56:26,244 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 107/142 +[2025-03-11 06:56:26,269 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 108/142 +[2025-03-11 06:56:26,292 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 109/142 +[2025-03-11 06:56:26,316 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 110/142 +[2025-03-11 06:56:26,340 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 111/142 +[2025-03-11 06:56:26,363 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 112/142 +[2025-03-11 06:56:26,386 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 113/142 +[2025-03-11 06:56:26,410 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 114/142 +[2025-03-11 06:56:26,433 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 115/142 +[2025-03-11 06:56:26,456 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 116/142 +[2025-03-11 06:56:26,480 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 117/142 +[2025-03-11 06:56:26,503 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 118/142 +[2025-03-11 06:56:26,527 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 119/142 +[2025-03-11 06:56:26,551 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 120/142 +[2025-03-11 06:56:26,575 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 121/142 +[2025-03-11 06:56:26,598 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 122/142 +[2025-03-11 06:56:26,628 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 123/142 +[2025-03-11 06:56:26,653 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 124/142 +[2025-03-11 06:56:26,684 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 125/142 +[2025-03-11 06:56:26,714 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 126/142 +[2025-03-11 06:56:26,752 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 127/142 +[2025-03-11 06:56:26,783 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 128/142 +[2025-03-11 06:56:26,818 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 129/142 +[2025-03-11 06:56:26,841 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 130/142 +[2025-03-11 06:56:26,865 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 131/142 +[2025-03-11 06:56:26,888 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 132/142 +[2025-03-11 06:56:26,910 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 133/142 +[2025-03-11 06:56:26,933 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 134/142 +[2025-03-11 06:56:26,955 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 135/142 +[2025-03-11 06:56:26,978 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 136/142 +[2025-03-11 06:56:27,001 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 137/142 +[2025-03-11 06:56:27,023 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 138/142 +[2025-03-11 06:56:27,045 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 139/142 +[2025-03-11 06:56:27,068 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 140/142 +[2025-03-11 06:56:27,090 INFO test.py line 201 2389709] Test: 4/78-scene0578_02, Batch: 141/142 +[2025-03-11 06:56:27,186 INFO test.py line 291 2389709] Test: scene0578_02 [4/78]-128553 Batch 4.068 (4.043) Accuracy 0.9387 (0.1482) mIoU 0.4985 (0.1374) +[2025-03-11 06:56:27,227 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 0/113 +[2025-03-11 06:56:27,249 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 1/113 +[2025-03-11 06:56:27,269 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 2/113 +[2025-03-11 06:56:27,289 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 3/113 +[2025-03-11 06:56:27,312 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 4/113 +[2025-03-11 06:56:27,334 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 5/113 +[2025-03-11 06:56:27,354 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 6/113 +[2025-03-11 06:56:27,374 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 7/113 +[2025-03-11 06:56:27,394 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 8/113 +[2025-03-11 06:56:27,414 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 9/113 +[2025-03-11 06:56:27,434 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 10/113 +[2025-03-11 06:56:27,454 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 11/113 +[2025-03-11 06:56:27,474 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 12/113 +[2025-03-11 06:56:27,495 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 13/113 +[2025-03-11 06:56:27,515 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 14/113 +[2025-03-11 06:56:27,536 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 15/113 +[2025-03-11 06:56:27,556 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 16/113 +[2025-03-11 06:56:27,576 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 17/113 +[2025-03-11 06:56:27,596 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 18/113 +[2025-03-11 06:56:27,617 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 19/113 +[2025-03-11 06:56:27,637 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 20/113 +[2025-03-11 06:56:27,657 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 21/113 +[2025-03-11 06:56:27,677 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 22/113 +[2025-03-11 06:56:27,696 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 23/113 +[2025-03-11 06:56:27,716 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 24/113 +[2025-03-11 06:56:27,736 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 25/113 +[2025-03-11 06:56:27,757 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 26/113 +[2025-03-11 06:56:27,777 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 27/113 +[2025-03-11 06:56:27,798 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 28/113 +[2025-03-11 06:56:27,818 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 29/113 +[2025-03-11 06:56:27,838 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 30/113 +[2025-03-11 06:56:27,858 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 31/113 +[2025-03-11 06:56:27,878 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 32/113 +[2025-03-11 06:56:27,898 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 33/113 +[2025-03-11 06:56:27,917 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 34/113 +[2025-03-11 06:56:27,938 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 35/113 +[2025-03-11 06:56:27,958 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 36/113 +[2025-03-11 06:56:27,979 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 37/113 +[2025-03-11 06:56:27,998 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 38/113 +[2025-03-11 06:56:28,022 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 39/113 +[2025-03-11 06:56:28,052 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 40/113 +[2025-03-11 06:56:28,082 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 41/113 +[2025-03-11 06:56:28,109 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 42/113 +[2025-03-11 06:56:28,129 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 43/113 +[2025-03-11 06:56:28,148 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 44/113 +[2025-03-11 06:56:28,167 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 45/113 +[2025-03-11 06:56:28,187 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 46/113 +[2025-03-11 06:56:28,208 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 47/113 +[2025-03-11 06:56:28,233 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 48/113 +[2025-03-11 06:56:28,253 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 49/113 +[2025-03-11 06:56:28,274 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 50/113 +[2025-03-11 06:56:28,293 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 51/113 +[2025-03-11 06:56:28,313 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 52/113 +[2025-03-11 06:56:28,334 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 53/113 +[2025-03-11 06:56:28,355 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 54/113 +[2025-03-11 06:56:28,377 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 55/113 +[2025-03-11 06:56:28,397 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 56/113 +[2025-03-11 06:56:28,418 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 57/113 +[2025-03-11 06:56:28,439 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 58/113 +[2025-03-11 06:56:28,459 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 59/113 +[2025-03-11 06:56:28,481 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 60/113 +[2025-03-11 06:56:28,501 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 61/113 +[2025-03-11 06:56:28,522 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 62/113 +[2025-03-11 06:56:28,542 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 63/113 +[2025-03-11 06:56:28,562 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 64/113 +[2025-03-11 06:56:28,583 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 65/113 +[2025-03-11 06:56:28,602 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 66/113 +[2025-03-11 06:56:28,622 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 67/113 +[2025-03-11 06:56:28,643 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 68/113 +[2025-03-11 06:56:28,663 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 69/113 +[2025-03-11 06:56:28,682 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 70/113 +[2025-03-11 06:56:28,702 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 71/113 +[2025-03-11 06:56:28,723 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 72/113 +[2025-03-11 06:56:28,744 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 73/113 +[2025-03-11 06:56:28,766 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 74/113 +[2025-03-11 06:56:28,787 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 75/113 +[2025-03-11 06:56:28,807 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 76/113 +[2025-03-11 06:56:28,829 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 77/113 +[2025-03-11 06:56:28,850 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 78/113 +[2025-03-11 06:56:28,871 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 79/113 +[2025-03-11 06:56:28,892 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 80/113 +[2025-03-11 06:56:28,913 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 81/113 +[2025-03-11 06:56:28,933 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 82/113 +[2025-03-11 06:56:28,954 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 83/113 +[2025-03-11 06:56:28,975 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 84/113 +[2025-03-11 06:56:28,995 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 85/113 +[2025-03-11 06:56:29,016 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 86/113 +[2025-03-11 06:56:29,037 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 87/113 +[2025-03-11 06:56:29,058 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 88/113 +[2025-03-11 06:56:29,079 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 89/113 +[2025-03-11 06:56:29,100 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 90/113 +[2025-03-11 06:56:29,121 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 91/113 +[2025-03-11 06:56:29,142 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 92/113 +[2025-03-11 06:56:29,163 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 93/113 +[2025-03-11 06:56:29,185 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 94/113 +[2025-03-11 06:56:29,205 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 95/113 +[2025-03-11 06:56:29,226 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 96/113 +[2025-03-11 06:56:29,246 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 97/113 +[2025-03-11 06:56:29,268 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 98/113 +[2025-03-11 06:56:29,290 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 99/113 +[2025-03-11 06:56:29,311 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 100/113 +[2025-03-11 06:56:29,332 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 101/113 +[2025-03-11 06:56:29,353 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 102/113 +[2025-03-11 06:56:29,375 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 103/113 +[2025-03-11 06:56:29,395 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 104/113 +[2025-03-11 06:56:29,415 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 105/113 +[2025-03-11 06:56:29,452 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 106/113 +[2025-03-11 06:56:29,471 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 107/113 +[2025-03-11 06:56:29,494 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 108/113 +[2025-03-11 06:56:29,514 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 109/113 +[2025-03-11 06:56:29,536 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 110/113 +[2025-03-11 06:56:29,555 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 111/113 +[2025-03-11 06:56:29,576 INFO test.py line 201 2389709] Test: 5/78-scene0077_01, Batch: 112/113 +[2025-03-11 06:56:29,650 INFO test.py line 291 2389709] Test: scene0077_01 [5/78]-90381 Batch 2.463 (3.727) Accuracy 0.9186 (0.1562) mIoU 0.4941 (0.1433) +[2025-03-11 06:56:29,692 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 0/121 +[2025-03-11 06:56:29,711 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 1/121 +[2025-03-11 06:56:29,734 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 2/121 +[2025-03-11 06:56:29,754 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 3/121 +[2025-03-11 06:56:29,775 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 4/121 +[2025-03-11 06:56:29,794 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 5/121 +[2025-03-11 06:56:29,815 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 6/121 +[2025-03-11 06:56:29,841 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 7/121 +[2025-03-11 06:56:29,860 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 8/121 +[2025-03-11 06:56:29,881 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 9/121 +[2025-03-11 06:56:29,902 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 10/121 +[2025-03-11 06:56:29,923 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 11/121 +[2025-03-11 06:56:29,942 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 12/121 +[2025-03-11 06:56:29,964 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 13/121 +[2025-03-11 06:56:29,985 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 14/121 +[2025-03-11 06:56:30,004 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 15/121 +[2025-03-11 06:56:30,024 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 16/121 +[2025-03-11 06:56:30,048 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 17/121 +[2025-03-11 06:56:30,070 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 18/121 +[2025-03-11 06:56:30,091 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 19/121 +[2025-03-11 06:56:30,111 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 20/121 +[2025-03-11 06:56:30,131 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 21/121 +[2025-03-11 06:56:30,154 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 22/121 +[2025-03-11 06:56:30,174 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 23/121 +[2025-03-11 06:56:30,195 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 24/121 +[2025-03-11 06:56:30,215 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 25/121 +[2025-03-11 06:56:30,245 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 26/121 +[2025-03-11 06:56:30,272 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 27/121 +[2025-03-11 06:56:30,293 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 28/121 +[2025-03-11 06:56:30,313 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 29/121 +[2025-03-11 06:56:30,333 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 30/121 +[2025-03-11 06:56:30,354 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 31/121 +[2025-03-11 06:56:30,376 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 32/121 +[2025-03-11 06:56:30,397 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 33/121 +[2025-03-11 06:56:30,418 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 34/121 +[2025-03-11 06:56:30,438 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 35/121 +[2025-03-11 06:56:30,458 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 36/121 +[2025-03-11 06:56:30,478 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 37/121 +[2025-03-11 06:56:30,497 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 38/121 +[2025-03-11 06:56:30,518 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 39/121 +[2025-03-11 06:56:30,538 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 40/121 +[2025-03-11 06:56:30,557 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 41/121 +[2025-03-11 06:56:30,581 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 42/121 +[2025-03-11 06:56:30,601 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 43/121 +[2025-03-11 06:56:30,622 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 44/121 +[2025-03-11 06:56:30,642 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 45/121 +[2025-03-11 06:56:30,661 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 46/121 +[2025-03-11 06:56:30,682 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 47/121 +[2025-03-11 06:56:30,702 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 48/121 +[2025-03-11 06:56:30,721 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 49/121 +[2025-03-11 06:56:30,741 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 50/121 +[2025-03-11 06:56:30,762 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 51/121 +[2025-03-11 06:56:30,782 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 52/121 +[2025-03-11 06:56:30,803 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 53/121 +[2025-03-11 06:56:30,823 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 54/121 +[2025-03-11 06:56:30,846 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 55/121 +[2025-03-11 06:56:30,872 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 56/121 +[2025-03-11 06:56:30,894 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 57/121 +[2025-03-11 06:56:30,914 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 58/121 +[2025-03-11 06:56:30,934 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 59/121 +[2025-03-11 06:56:30,953 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 60/121 +[2025-03-11 06:56:30,972 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 61/121 +[2025-03-11 06:56:30,992 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 62/121 +[2025-03-11 06:56:31,012 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 63/121 +[2025-03-11 06:56:31,032 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 64/121 +[2025-03-11 06:56:31,056 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 65/121 +[2025-03-11 06:56:31,079 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 66/121 +[2025-03-11 06:56:31,104 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 67/121 +[2025-03-11 06:56:31,128 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 68/121 +[2025-03-11 06:56:31,152 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 69/121 +[2025-03-11 06:56:31,176 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 70/121 +[2025-03-11 06:56:31,200 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 71/121 +[2025-03-11 06:56:31,224 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 72/121 +[2025-03-11 06:56:31,270 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 73/121 +[2025-03-11 06:56:31,294 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 74/121 +[2025-03-11 06:56:31,318 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 75/121 +[2025-03-11 06:56:31,342 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 76/121 +[2025-03-11 06:56:31,366 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 77/121 +[2025-03-11 06:56:31,390 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 78/121 +[2025-03-11 06:56:31,415 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 79/121 +[2025-03-11 06:56:31,439 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 80/121 +[2025-03-11 06:56:31,465 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 81/121 +[2025-03-11 06:56:31,490 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 82/121 +[2025-03-11 06:56:31,520 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 83/121 +[2025-03-11 06:56:31,545 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 84/121 +[2025-03-11 06:56:31,569 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 85/121 +[2025-03-11 06:56:31,593 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 86/121 +[2025-03-11 06:56:31,618 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 87/121 +[2025-03-11 06:56:31,643 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 88/121 +[2025-03-11 06:56:31,667 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 89/121 +[2025-03-11 06:56:31,692 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 90/121 +[2025-03-11 06:56:31,718 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 91/121 +[2025-03-11 06:56:31,743 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 92/121 +[2025-03-11 06:56:31,775 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 93/121 +[2025-03-11 06:56:31,799 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 94/121 +[2025-03-11 06:56:31,823 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 95/121 +[2025-03-11 06:56:31,849 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 96/121 +[2025-03-11 06:56:31,873 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 97/121 +[2025-03-11 06:56:31,900 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 98/121 +[2025-03-11 06:56:31,925 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 99/121 +[2025-03-11 06:56:31,952 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 100/121 +[2025-03-11 06:56:31,976 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 101/121 +[2025-03-11 06:56:32,002 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 102/121 +[2025-03-11 06:56:32,027 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 103/121 +[2025-03-11 06:56:32,053 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 104/121 +[2025-03-11 06:56:32,079 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 105/121 +[2025-03-11 06:56:32,106 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 106/121 +[2025-03-11 06:56:32,131 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 107/121 +[2025-03-11 06:56:32,155 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 108/121 +[2025-03-11 06:56:32,184 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 109/121 +[2025-03-11 06:56:32,211 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 110/121 +[2025-03-11 06:56:32,237 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 111/121 +[2025-03-11 06:56:32,263 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 112/121 +[2025-03-11 06:56:32,288 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 113/121 +[2025-03-11 06:56:32,313 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 114/121 +[2025-03-11 06:56:32,338 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 115/121 +[2025-03-11 06:56:32,363 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 116/121 +[2025-03-11 06:56:32,387 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 117/121 +[2025-03-11 06:56:32,412 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 118/121 +[2025-03-11 06:56:32,437 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 119/121 +[2025-03-11 06:56:32,460 INFO test.py line 201 2389709] Test: 6/78-scene0382_01, Batch: 120/121 +[2025-03-11 06:56:32,569 INFO test.py line 291 2389709] Test: scene0382_01 [6/78]-96933 Batch 2.919 (3.593) Accuracy 0.8185 (0.1620) mIoU 0.3596 (0.1483) +[2025-03-11 06:56:35,514 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 0/134 +[2025-03-11 06:56:35,573 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 1/134 +[2025-03-11 06:56:35,632 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 2/134 +[2025-03-11 06:56:35,685 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 3/134 +[2025-03-11 06:56:35,737 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 4/134 +[2025-03-11 06:56:35,787 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 5/134 +[2025-03-11 06:56:35,836 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 6/134 +[2025-03-11 06:56:35,888 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 7/134 +[2025-03-11 06:56:35,949 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 8/134 +[2025-03-11 06:56:35,999 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 9/134 +[2025-03-11 06:56:36,063 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 10/134 +[2025-03-11 06:56:36,110 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 11/134 +[2025-03-11 06:56:36,173 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 12/134 +[2025-03-11 06:56:36,220 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 13/134 +[2025-03-11 06:56:36,267 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 14/134 +[2025-03-11 06:56:36,316 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 15/134 +[2025-03-11 06:56:36,364 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 16/134 +[2025-03-11 06:56:36,412 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 17/134 +[2025-03-11 06:56:36,460 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 18/134 +[2025-03-11 06:56:36,508 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 19/134 +[2025-03-11 06:56:36,556 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 20/134 +[2025-03-11 06:56:36,603 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 21/134 +[2025-03-11 06:56:36,650 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 22/134 +[2025-03-11 06:56:36,699 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 23/134 +[2025-03-11 06:56:36,746 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 24/134 +[2025-03-11 06:56:36,794 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 25/134 +[2025-03-11 06:56:36,842 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 26/134 +[2025-03-11 06:56:36,890 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 27/134 +[2025-03-11 06:56:36,938 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 28/134 +[2025-03-11 06:56:36,987 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 29/134 +[2025-03-11 06:56:37,035 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 30/134 +[2025-03-11 06:56:37,082 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 31/134 +[2025-03-11 06:56:37,131 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 32/134 +[2025-03-11 06:56:37,178 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 33/134 +[2025-03-11 06:56:37,235 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 34/134 +[2025-03-11 06:56:37,283 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 35/134 +[2025-03-11 06:56:37,330 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 36/134 +[2025-03-11 06:56:37,378 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 37/134 +[2025-03-11 06:56:37,425 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 38/134 +[2025-03-11 06:56:37,472 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 39/134 +[2025-03-11 06:56:37,517 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 40/134 +[2025-03-11 06:56:37,562 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 41/134 +[2025-03-11 06:56:37,608 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 42/134 +[2025-03-11 06:56:37,653 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 43/134 +[2025-03-11 06:56:37,698 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 44/134 +[2025-03-11 06:56:37,744 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 45/134 +[2025-03-11 06:56:37,790 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 46/134 +[2025-03-11 06:56:37,835 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 47/134 +[2025-03-11 06:56:37,881 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 48/134 +[2025-03-11 06:56:37,928 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 49/134 +[2025-03-11 06:56:37,973 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 50/134 +[2025-03-11 06:56:38,019 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 51/134 +[2025-03-11 06:56:38,064 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 52/134 +[2025-03-11 06:56:38,110 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 53/134 +[2025-03-11 06:56:38,154 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 54/134 +[2025-03-11 06:56:38,199 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 55/134 +[2025-03-11 06:56:38,247 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 56/134 +[2025-03-11 06:56:38,291 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 57/134 +[2025-03-11 06:56:38,345 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 58/134 +[2025-03-11 06:56:38,411 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 59/134 +[2025-03-11 06:56:38,462 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 60/134 +[2025-03-11 06:56:38,515 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 61/134 +[2025-03-11 06:56:38,577 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 62/134 +[2025-03-11 06:56:38,628 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 63/134 +[2025-03-11 06:56:38,676 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 64/134 +[2025-03-11 06:56:38,724 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 65/134 +[2025-03-11 06:56:38,771 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 66/134 +[2025-03-11 06:56:38,816 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 67/134 +[2025-03-11 06:56:38,862 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 68/134 +[2025-03-11 06:56:38,907 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 69/134 +[2025-03-11 06:56:38,953 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 70/134 +[2025-03-11 06:56:38,998 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 71/134 +[2025-03-11 06:56:39,043 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 72/134 +[2025-03-11 06:56:39,088 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 73/134 +[2025-03-11 06:56:39,133 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 74/134 +[2025-03-11 06:56:39,179 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 75/134 +[2025-03-11 06:56:39,224 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 76/134 +[2025-03-11 06:56:39,269 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 77/134 +[2025-03-11 06:56:39,314 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 78/134 +[2025-03-11 06:56:39,359 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 79/134 +[2025-03-11 06:56:39,405 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 80/134 +[2025-03-11 06:56:39,449 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 81/134 +[2025-03-11 06:56:39,494 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 82/134 +[2025-03-11 06:56:39,539 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 83/134 +[2025-03-11 06:56:39,584 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 84/134 +[2025-03-11 06:56:39,629 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 85/134 +[2025-03-11 06:56:39,674 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 86/134 +[2025-03-11 06:56:39,719 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 87/134 +[2025-03-11 06:56:39,783 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 88/134 +[2025-03-11 06:56:39,831 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 89/134 +[2025-03-11 06:56:39,881 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 90/134 +[2025-03-11 06:56:39,930 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 91/134 +[2025-03-11 06:56:39,979 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 92/134 +[2025-03-11 06:56:40,028 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 93/134 +[2025-03-11 06:56:40,077 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 94/134 +[2025-03-11 06:56:40,127 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 95/134 +[2025-03-11 06:56:40,174 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 96/134 +[2025-03-11 06:56:40,224 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 97/134 +[2025-03-11 06:56:40,272 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 98/134 +[2025-03-11 06:56:40,321 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 99/134 +[2025-03-11 06:56:40,370 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 100/134 +[2025-03-11 06:56:40,418 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 101/134 +[2025-03-11 06:56:40,467 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 102/134 +[2025-03-11 06:56:40,515 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 103/134 +[2025-03-11 06:56:40,564 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 104/134 +[2025-03-11 06:56:40,612 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 105/134 +[2025-03-11 06:56:40,661 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 106/134 +[2025-03-11 06:56:40,710 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 107/134 +[2025-03-11 06:56:40,758 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 108/134 +[2025-03-11 06:56:40,806 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 109/134 +[2025-03-11 06:56:40,855 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 110/134 +[2025-03-11 06:56:40,905 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 111/134 +[2025-03-11 06:56:40,953 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 112/134 +[2025-03-11 06:56:41,001 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 113/134 +[2025-03-11 06:56:41,050 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 114/134 +[2025-03-11 06:56:41,098 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 115/134 +[2025-03-11 06:56:41,148 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 116/134 +[2025-03-11 06:56:41,196 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 117/134 +[2025-03-11 06:56:41,244 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 118/134 +[2025-03-11 06:56:41,292 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 119/134 +[2025-03-11 06:56:41,342 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 120/134 +[2025-03-11 06:56:41,390 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 121/134 +[2025-03-11 06:56:41,439 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 122/134 +[2025-03-11 06:56:41,488 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 123/134 +[2025-03-11 06:56:41,534 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 124/134 +[2025-03-11 06:56:41,581 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 125/134 +[2025-03-11 06:56:41,628 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 126/134 +[2025-03-11 06:56:41,675 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 127/134 +[2025-03-11 06:56:41,722 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 128/134 +[2025-03-11 06:56:41,768 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 129/134 +[2025-03-11 06:56:41,815 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 130/134 +[2025-03-11 06:56:41,862 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 131/134 +[2025-03-11 06:56:41,909 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 132/134 +[2025-03-11 06:56:41,955 INFO test.py line 201 2389709] Test: 7/78-scene0653_01, Batch: 133/134 +[2025-03-11 06:56:42,342 INFO test.py line 291 2389709] Test: scene0653_01 [7/78]-331565 Batch 6.961 (4.074) Accuracy 0.8970 (0.1907) mIoU 0.3442 (0.1714) +[2025-03-11 06:56:42,373 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 0/113 +[2025-03-11 06:56:42,396 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 1/113 +[2025-03-11 06:56:42,418 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 2/113 +[2025-03-11 06:56:42,439 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 3/113 +[2025-03-11 06:56:42,461 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 4/113 +[2025-03-11 06:56:42,482 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 5/113 +[2025-03-11 06:56:42,505 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 6/113 +[2025-03-11 06:56:42,526 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 7/113 +[2025-03-11 06:56:42,547 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 8/113 +[2025-03-11 06:56:42,569 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 9/113 +[2025-03-11 06:56:42,589 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 10/113 +[2025-03-11 06:56:42,611 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 11/113 +[2025-03-11 06:56:42,631 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 12/113 +[2025-03-11 06:56:42,652 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 13/113 +[2025-03-11 06:56:42,674 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 14/113 +[2025-03-11 06:56:42,694 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 15/113 +[2025-03-11 06:56:42,716 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 16/113 +[2025-03-11 06:56:42,736 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 17/113 +[2025-03-11 06:56:42,758 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 18/113 +[2025-03-11 06:56:42,778 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 19/113 +[2025-03-11 06:56:42,800 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 20/113 +[2025-03-11 06:56:42,822 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 21/113 +[2025-03-11 06:56:42,843 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 22/113 +[2025-03-11 06:56:42,865 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 23/113 +[2025-03-11 06:56:42,885 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 24/113 +[2025-03-11 06:56:42,908 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 25/113 +[2025-03-11 06:56:42,928 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 26/113 +[2025-03-11 06:56:42,950 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 27/113 +[2025-03-11 06:56:42,972 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 28/113 +[2025-03-11 06:56:42,994 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 29/113 +[2025-03-11 06:56:43,015 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 30/113 +[2025-03-11 06:56:43,036 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 31/113 +[2025-03-11 06:56:43,058 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 32/113 +[2025-03-11 06:56:43,078 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 33/113 +[2025-03-11 06:56:43,100 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 34/113 +[2025-03-11 06:56:43,121 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 35/113 +[2025-03-11 06:56:43,142 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 36/113 +[2025-03-11 06:56:43,163 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 37/113 +[2025-03-11 06:56:43,184 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 38/113 +[2025-03-11 06:56:43,208 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 39/113 +[2025-03-11 06:56:43,228 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 40/113 +[2025-03-11 06:56:43,249 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 41/113 +[2025-03-11 06:56:43,270 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 42/113 +[2025-03-11 06:56:43,292 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 43/113 +[2025-03-11 06:56:43,313 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 44/113 +[2025-03-11 06:56:43,335 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 45/113 +[2025-03-11 06:56:43,356 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 46/113 +[2025-03-11 06:56:43,378 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 47/113 +[2025-03-11 06:56:43,399 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 48/113 +[2025-03-11 06:56:43,421 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 49/113 +[2025-03-11 06:56:43,442 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 50/113 +[2025-03-11 06:56:43,464 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 51/113 +[2025-03-11 06:56:43,487 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 52/113 +[2025-03-11 06:56:43,508 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 53/113 +[2025-03-11 06:56:43,534 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 54/113 +[2025-03-11 06:56:43,555 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 55/113 +[2025-03-11 06:56:43,577 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 56/113 +[2025-03-11 06:56:43,601 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 57/113 +[2025-03-11 06:56:43,623 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 58/113 +[2025-03-11 06:56:43,645 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 59/113 +[2025-03-11 06:56:43,669 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 60/113 +[2025-03-11 06:56:43,698 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 61/113 +[2025-03-11 06:56:43,728 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 62/113 +[2025-03-11 06:56:43,756 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 63/113 +[2025-03-11 06:56:43,785 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 64/113 +[2025-03-11 06:56:43,818 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 65/113 +[2025-03-11 06:56:43,848 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 66/113 +[2025-03-11 06:56:43,874 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 67/113 +[2025-03-11 06:56:43,899 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 68/113 +[2025-03-11 06:56:43,925 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 69/113 +[2025-03-11 06:56:43,952 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 70/113 +[2025-03-11 06:56:43,978 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 71/113 +[2025-03-11 06:56:44,000 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 72/113 +[2025-03-11 06:56:44,025 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 73/113 +[2025-03-11 06:56:44,051 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 74/113 +[2025-03-11 06:56:44,077 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 75/113 +[2025-03-11 06:56:44,106 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 76/113 +[2025-03-11 06:56:44,134 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 77/113 +[2025-03-11 06:56:44,162 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 78/113 +[2025-03-11 06:56:44,192 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 79/113 +[2025-03-11 06:56:44,221 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 80/113 +[2025-03-11 06:56:44,250 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 81/113 +[2025-03-11 06:56:44,281 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 82/113 +[2025-03-11 06:56:44,324 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 83/113 +[2025-03-11 06:56:44,358 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 84/113 +[2025-03-11 06:56:44,379 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 85/113 +[2025-03-11 06:56:44,402 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 86/113 +[2025-03-11 06:56:44,424 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 87/113 +[2025-03-11 06:56:44,447 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 88/113 +[2025-03-11 06:56:44,468 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 89/113 +[2025-03-11 06:56:44,491 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 90/113 +[2025-03-11 06:56:44,518 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 91/113 +[2025-03-11 06:56:44,541 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 92/113 +[2025-03-11 06:56:44,562 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 93/113 +[2025-03-11 06:56:44,585 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 94/113 +[2025-03-11 06:56:44,607 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 95/113 +[2025-03-11 06:56:44,630 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 96/113 +[2025-03-11 06:56:44,652 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 97/113 +[2025-03-11 06:56:44,675 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 98/113 +[2025-03-11 06:56:44,696 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 99/113 +[2025-03-11 06:56:44,717 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 100/113 +[2025-03-11 06:56:44,739 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 101/113 +[2025-03-11 06:56:44,758 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 102/113 +[2025-03-11 06:56:44,790 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 103/113 +[2025-03-11 06:56:44,812 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 104/113 +[2025-03-11 06:56:44,833 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 105/113 +[2025-03-11 06:56:44,855 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 106/113 +[2025-03-11 06:56:44,877 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 107/113 +[2025-03-11 06:56:44,899 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 108/113 +[2025-03-11 06:56:44,920 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 109/113 +[2025-03-11 06:56:44,943 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 110/113 +[2025-03-11 06:56:44,965 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 111/113 +[2025-03-11 06:56:44,986 INFO test.py line 201 2389709] Test: 8/78-scene0684_00, Batch: 112/113 +[2025-03-11 06:56:45,035 INFO test.py line 291 2389709] Test: scene0684_00 [8/78]-41364 Batch 2.693 (3.901) Accuracy 0.8527 (0.1903) mIoU 0.3810 (0.1694) +[2025-03-11 06:56:45,110 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 0/130 +[2025-03-11 06:56:45,144 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 1/130 +[2025-03-11 06:56:45,178 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 2/130 +[2025-03-11 06:56:45,210 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 3/130 +[2025-03-11 06:56:45,243 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 4/130 +[2025-03-11 06:56:45,276 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 5/130 +[2025-03-11 06:56:45,308 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 6/130 +[2025-03-11 06:56:45,343 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 7/130 +[2025-03-11 06:56:45,393 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 8/130 +[2025-03-11 06:56:45,426 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 9/130 +[2025-03-11 06:56:45,460 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 10/130 +[2025-03-11 06:56:45,492 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 11/130 +[2025-03-11 06:56:45,525 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 12/130 +[2025-03-11 06:56:45,558 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 13/130 +[2025-03-11 06:56:45,590 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 14/130 +[2025-03-11 06:56:45,622 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 15/130 +[2025-03-11 06:56:45,654 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 16/130 +[2025-03-11 06:56:45,685 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 17/130 +[2025-03-11 06:56:45,718 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 18/130 +[2025-03-11 06:56:45,749 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 19/130 +[2025-03-11 06:56:45,780 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 20/130 +[2025-03-11 06:56:45,827 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 21/130 +[2025-03-11 06:56:45,860 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 22/130 +[2025-03-11 06:56:45,893 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 23/130 +[2025-03-11 06:56:45,926 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 24/130 +[2025-03-11 06:56:45,959 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 25/130 +[2025-03-11 06:56:45,992 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 26/130 +[2025-03-11 06:56:46,023 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 27/130 +[2025-03-11 06:56:46,055 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 28/130 +[2025-03-11 06:56:46,102 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 29/130 +[2025-03-11 06:56:46,134 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 30/130 +[2025-03-11 06:56:46,165 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 31/130 +[2025-03-11 06:56:46,196 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 32/130 +[2025-03-11 06:56:46,235 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 33/130 +[2025-03-11 06:56:46,268 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 34/130 +[2025-03-11 06:56:46,300 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 35/130 +[2025-03-11 06:56:46,332 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 36/130 +[2025-03-11 06:56:46,364 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 37/130 +[2025-03-11 06:56:46,398 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 38/130 +[2025-03-11 06:56:46,429 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 39/130 +[2025-03-11 06:56:46,460 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 40/130 +[2025-03-11 06:56:46,492 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 41/130 +[2025-03-11 06:56:46,522 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 42/130 +[2025-03-11 06:56:46,559 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 43/130 +[2025-03-11 06:56:46,592 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 44/130 +[2025-03-11 06:56:46,624 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 45/130 +[2025-03-11 06:56:46,656 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 46/130 +[2025-03-11 06:56:46,687 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 47/130 +[2025-03-11 06:56:46,720 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 48/130 +[2025-03-11 06:56:46,751 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 49/130 +[2025-03-11 06:56:46,783 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 50/130 +[2025-03-11 06:56:46,814 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 51/130 +[2025-03-11 06:56:46,845 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 52/130 +[2025-03-11 06:56:46,875 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 53/130 +[2025-03-11 06:56:46,905 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 54/130 +[2025-03-11 06:56:46,939 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 55/130 +[2025-03-11 06:56:46,968 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 56/130 +[2025-03-11 06:56:47,003 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 57/130 +[2025-03-11 06:56:47,035 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 58/130 +[2025-03-11 06:56:47,076 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 59/130 +[2025-03-11 06:56:47,107 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 60/130 +[2025-03-11 06:56:47,137 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 61/130 +[2025-03-11 06:56:47,168 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 62/130 +[2025-03-11 06:56:47,201 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 63/130 +[2025-03-11 06:56:47,232 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 64/130 +[2025-03-11 06:56:47,264 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 65/130 +[2025-03-11 06:56:47,295 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 66/130 +[2025-03-11 06:56:47,327 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 67/130 +[2025-03-11 06:56:47,357 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 68/130 +[2025-03-11 06:56:47,388 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 69/130 +[2025-03-11 06:56:47,419 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 70/130 +[2025-03-11 06:56:47,450 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 71/130 +[2025-03-11 06:56:47,481 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 72/130 +[2025-03-11 06:56:47,512 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 73/130 +[2025-03-11 06:56:47,544 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 74/130 +[2025-03-11 06:56:47,576 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 75/130 +[2025-03-11 06:56:47,606 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 76/130 +[2025-03-11 06:56:47,636 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 77/130 +[2025-03-11 06:56:47,667 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 78/130 +[2025-03-11 06:56:47,696 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 79/130 +[2025-03-11 06:56:47,727 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 80/130 +[2025-03-11 06:56:47,756 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 81/130 +[2025-03-11 06:56:47,793 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 82/130 +[2025-03-11 06:56:47,824 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 83/130 +[2025-03-11 06:56:47,856 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 84/130 +[2025-03-11 06:56:47,889 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 85/130 +[2025-03-11 06:56:47,921 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 86/130 +[2025-03-11 06:56:47,954 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 87/130 +[2025-03-11 06:56:47,987 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 88/130 +[2025-03-11 06:56:48,020 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 89/130 +[2025-03-11 06:56:48,052 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 90/130 +[2025-03-11 06:56:48,083 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 91/130 +[2025-03-11 06:56:48,116 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 92/130 +[2025-03-11 06:56:48,147 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 93/130 +[2025-03-11 06:56:48,189 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 94/130 +[2025-03-11 06:56:48,221 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 95/130 +[2025-03-11 06:56:48,253 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 96/130 +[2025-03-11 06:56:48,285 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 97/130 +[2025-03-11 06:56:48,319 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 98/130 +[2025-03-11 06:56:48,351 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 99/130 +[2025-03-11 06:56:48,383 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 100/130 +[2025-03-11 06:56:48,416 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 101/130 +[2025-03-11 06:56:48,448 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 102/130 +[2025-03-11 06:56:48,480 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 103/130 +[2025-03-11 06:56:48,513 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 104/130 +[2025-03-11 06:56:48,544 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 105/130 +[2025-03-11 06:56:48,576 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 106/130 +[2025-03-11 06:56:48,609 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 107/130 +[2025-03-11 06:56:48,640 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 108/130 +[2025-03-11 06:56:48,675 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 109/130 +[2025-03-11 06:56:48,707 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 110/130 +[2025-03-11 06:56:48,739 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 111/130 +[2025-03-11 06:56:48,778 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 112/130 +[2025-03-11 06:56:48,810 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 113/130 +[2025-03-11 06:56:48,842 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 114/130 +[2025-03-11 06:56:48,874 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 115/130 +[2025-03-11 06:56:48,906 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 116/130 +[2025-03-11 06:56:48,938 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 117/130 +[2025-03-11 06:56:48,970 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 118/130 +[2025-03-11 06:56:49,003 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 119/130 +[2025-03-11 06:56:49,034 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 120/130 +[2025-03-11 06:56:49,073 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 121/130 +[2025-03-11 06:56:49,104 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 122/130 +[2025-03-11 06:56:49,135 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 123/130 +[2025-03-11 06:56:49,166 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 124/130 +[2025-03-11 06:56:49,197 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 125/130 +[2025-03-11 06:56:49,228 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 126/130 +[2025-03-11 06:56:49,259 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 127/130 +[2025-03-11 06:56:49,289 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 128/130 +[2025-03-11 06:56:49,320 INFO test.py line 201 2389709] Test: 9/78-scene0257_00, Batch: 129/130 +[2025-03-11 06:56:49,510 INFO test.py line 291 2389709] Test: scene0257_00 [9/78]-180928 Batch 4.475 (3.965) Accuracy 0.8416 (0.1979) mIoU 0.1671 (0.1764) +[2025-03-11 06:56:49,555 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 0/130 +[2025-03-11 06:56:49,579 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 1/130 +[2025-03-11 06:56:49,603 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 2/130 +[2025-03-11 06:56:49,627 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 3/130 +[2025-03-11 06:56:49,652 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 4/130 +[2025-03-11 06:56:49,677 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 5/130 +[2025-03-11 06:56:49,702 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 6/130 +[2025-03-11 06:56:49,726 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 7/130 +[2025-03-11 06:56:49,750 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 8/130 +[2025-03-11 06:56:49,780 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 9/130 +[2025-03-11 06:56:49,804 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 10/130 +[2025-03-11 06:56:49,828 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 11/130 +[2025-03-11 06:56:49,851 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 12/130 +[2025-03-11 06:56:49,875 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 13/130 +[2025-03-11 06:56:49,899 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 14/130 +[2025-03-11 06:56:49,922 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 15/130 +[2025-03-11 06:56:49,946 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 16/130 +[2025-03-11 06:56:49,970 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 17/130 +[2025-03-11 06:56:49,994 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 18/130 +[2025-03-11 06:56:50,018 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 19/130 +[2025-03-11 06:56:50,042 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 20/130 +[2025-03-11 06:56:50,066 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 21/130 +[2025-03-11 06:56:50,090 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 22/130 +[2025-03-11 06:56:50,114 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 23/130 +[2025-03-11 06:56:50,138 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 24/130 +[2025-03-11 06:56:50,162 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 25/130 +[2025-03-11 06:56:50,186 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 26/130 +[2025-03-11 06:56:50,209 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 27/130 +[2025-03-11 06:56:50,233 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 28/130 +[2025-03-11 06:56:50,255 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 29/130 +[2025-03-11 06:56:50,281 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 30/130 +[2025-03-11 06:56:50,305 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 31/130 +[2025-03-11 06:56:50,333 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 32/130 +[2025-03-11 06:56:50,359 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 33/130 +[2025-03-11 06:56:50,383 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 34/130 +[2025-03-11 06:56:50,408 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 35/130 +[2025-03-11 06:56:50,433 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 36/130 +[2025-03-11 06:56:50,457 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 37/130 +[2025-03-11 06:56:50,481 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 38/130 +[2025-03-11 06:56:50,506 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 39/130 +[2025-03-11 06:56:50,529 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 40/130 +[2025-03-11 06:56:50,554 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 41/130 +[2025-03-11 06:56:50,579 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 42/130 +[2025-03-11 06:56:50,604 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 43/130 +[2025-03-11 06:56:50,628 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 44/130 +[2025-03-11 06:56:50,659 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 45/130 +[2025-03-11 06:56:50,691 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 46/130 +[2025-03-11 06:56:50,721 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 47/130 +[2025-03-11 06:56:50,752 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 48/130 +[2025-03-11 06:56:50,784 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 49/130 +[2025-03-11 06:56:50,815 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 50/130 +[2025-03-11 06:56:50,845 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 51/130 +[2025-03-11 06:56:50,884 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 52/130 +[2025-03-11 06:56:50,919 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 53/130 +[2025-03-11 06:56:50,959 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 54/130 +[2025-03-11 06:56:50,990 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 55/130 +[2025-03-11 06:56:51,024 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 56/130 +[2025-03-11 06:56:51,053 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 57/130 +[2025-03-11 06:56:51,086 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 58/130 +[2025-03-11 06:56:51,114 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 59/130 +[2025-03-11 06:56:51,146 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 60/130 +[2025-03-11 06:56:51,332 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 61/130 +[2025-03-11 06:56:51,365 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 62/130 +[2025-03-11 06:56:51,389 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 63/130 +[2025-03-11 06:56:51,413 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 64/130 +[2025-03-11 06:56:51,437 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 65/130 +[2025-03-11 06:56:51,462 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 66/130 +[2025-03-11 06:56:51,486 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 67/130 +[2025-03-11 06:56:51,509 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 68/130 +[2025-03-11 06:56:51,532 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 69/130 +[2025-03-11 06:56:51,556 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 70/130 +[2025-03-11 06:56:51,580 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 71/130 +[2025-03-11 06:56:51,605 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 72/130 +[2025-03-11 06:56:51,628 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 73/130 +[2025-03-11 06:56:51,653 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 74/130 +[2025-03-11 06:56:51,677 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 75/130 +[2025-03-11 06:56:51,703 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 76/130 +[2025-03-11 06:56:51,726 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 77/130 +[2025-03-11 06:56:51,750 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 78/130 +[2025-03-11 06:56:51,774 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 79/130 +[2025-03-11 06:56:51,798 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 80/130 +[2025-03-11 06:56:51,822 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 81/130 +[2025-03-11 06:56:51,845 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 82/130 +[2025-03-11 06:56:51,869 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 83/130 +[2025-03-11 06:56:51,894 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 84/130 +[2025-03-11 06:56:51,929 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 85/130 +[2025-03-11 06:56:51,954 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 86/130 +[2025-03-11 06:56:51,979 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 87/130 +[2025-03-11 06:56:52,006 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 88/130 +[2025-03-11 06:56:52,030 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 89/130 +[2025-03-11 06:56:52,055 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 90/130 +[2025-03-11 06:56:52,080 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 91/130 +[2025-03-11 06:56:52,106 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 92/130 +[2025-03-11 06:56:52,131 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 93/130 +[2025-03-11 06:56:52,157 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 94/130 +[2025-03-11 06:56:52,183 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 95/130 +[2025-03-11 06:56:52,212 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 96/130 +[2025-03-11 06:56:52,243 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 97/130 +[2025-03-11 06:56:52,274 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 98/130 +[2025-03-11 06:56:52,305 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 99/130 +[2025-03-11 06:56:52,338 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 100/130 +[2025-03-11 06:56:52,368 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 101/130 +[2025-03-11 06:56:52,397 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 102/130 +[2025-03-11 06:56:52,426 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 103/130 +[2025-03-11 06:56:52,456 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 104/130 +[2025-03-11 06:56:52,484 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 105/130 +[2025-03-11 06:56:52,516 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 106/130 +[2025-03-11 06:56:52,546 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 107/130 +[2025-03-11 06:56:52,578 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 108/130 +[2025-03-11 06:56:52,608 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 109/130 +[2025-03-11 06:56:52,638 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 110/130 +[2025-03-11 06:56:52,666 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 111/130 +[2025-03-11 06:56:52,698 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 112/130 +[2025-03-11 06:56:52,731 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 113/130 +[2025-03-11 06:56:52,762 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 114/130 +[2025-03-11 06:56:52,786 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 115/130 +[2025-03-11 06:56:52,810 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 116/130 +[2025-03-11 06:56:52,834 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 117/130 +[2025-03-11 06:56:52,859 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 118/130 +[2025-03-11 06:56:52,885 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 119/130 +[2025-03-11 06:56:52,908 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 120/130 +[2025-03-11 06:56:52,933 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 121/130 +[2025-03-11 06:56:53,007 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 122/130 +[2025-03-11 06:56:53,191 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 123/130 +[2025-03-11 06:56:53,302 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 124/130 +[2025-03-11 06:56:53,354 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 125/130 +[2025-03-11 06:56:53,393 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 126/130 +[2025-03-11 06:56:53,429 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 127/130 +[2025-03-11 06:56:53,456 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 128/130 +[2025-03-11 06:56:53,480 INFO test.py line 201 2389709] Test: 10/78-scene0164_01, Batch: 129/130 +[2025-03-11 06:56:53,581 INFO test.py line 291 2389709] Test: scene0164_01 [10/78]-88073 Batch 4.070 (3.976) Accuracy 0.8266 (0.2466) mIoU 0.4604 (0.2195) +[2025-03-11 06:56:53,691 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 0/130 +[2025-03-11 06:56:53,733 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 1/130 +[2025-03-11 06:56:53,775 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 2/130 +[2025-03-11 06:56:53,826 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 3/130 +[2025-03-11 06:56:53,869 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 4/130 +[2025-03-11 06:56:53,921 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 5/130 +[2025-03-11 06:56:53,963 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 6/130 +[2025-03-11 06:56:54,004 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 7/130 +[2025-03-11 06:56:54,045 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 8/130 +[2025-03-11 06:56:54,087 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 9/130 +[2025-03-11 06:56:54,130 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 10/130 +[2025-03-11 06:56:54,171 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 11/130 +[2025-03-11 06:56:54,214 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 12/130 +[2025-03-11 06:56:54,257 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 13/130 +[2025-03-11 06:56:54,301 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 14/130 +[2025-03-11 06:56:54,343 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 15/130 +[2025-03-11 06:56:54,385 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 16/130 +[2025-03-11 06:56:54,428 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 17/130 +[2025-03-11 06:56:54,470 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 18/130 +[2025-03-11 06:56:54,512 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 19/130 +[2025-03-11 06:56:54,553 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 20/130 +[2025-03-11 06:56:54,597 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 21/130 +[2025-03-11 06:56:54,640 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 22/130 +[2025-03-11 06:56:54,683 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 23/130 +[2025-03-11 06:56:54,732 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 24/130 +[2025-03-11 06:56:54,776 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 25/130 +[2025-03-11 06:56:54,819 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 26/130 +[2025-03-11 06:56:54,861 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 27/130 +[2025-03-11 06:56:54,904 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 28/130 +[2025-03-11 06:56:54,946 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 29/130 +[2025-03-11 06:56:54,998 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 30/130 +[2025-03-11 06:56:55,042 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 31/130 +[2025-03-11 06:56:55,083 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 32/130 +[2025-03-11 06:56:55,125 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 33/130 +[2025-03-11 06:56:55,170 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 34/130 +[2025-03-11 06:56:55,215 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 35/130 +[2025-03-11 06:56:55,258 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 36/130 +[2025-03-11 06:56:55,300 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 37/130 +[2025-03-11 06:56:55,346 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 38/130 +[2025-03-11 06:56:55,394 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 39/130 +[2025-03-11 06:56:55,444 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 40/130 +[2025-03-11 06:56:55,488 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 41/130 +[2025-03-11 06:56:55,532 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 42/130 +[2025-03-11 06:56:55,576 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 43/130 +[2025-03-11 06:56:55,625 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 44/130 +[2025-03-11 06:56:55,673 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 45/130 +[2025-03-11 06:56:55,721 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 46/130 +[2025-03-11 06:56:55,762 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 47/130 +[2025-03-11 06:56:55,803 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 48/130 +[2025-03-11 06:56:55,844 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 49/130 +[2025-03-11 06:56:55,886 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 50/130 +[2025-03-11 06:56:55,926 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 51/130 +[2025-03-11 06:56:55,967 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 52/130 +[2025-03-11 06:56:56,009 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 53/130 +[2025-03-11 06:56:56,049 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 54/130 +[2025-03-11 06:56:56,091 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 55/130 +[2025-03-11 06:56:56,135 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 56/130 +[2025-03-11 06:56:56,175 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 57/130 +[2025-03-11 06:56:56,215 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 58/130 +[2025-03-11 06:56:56,263 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 59/130 +[2025-03-11 06:56:56,304 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 60/130 +[2025-03-11 06:56:56,344 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 61/130 +[2025-03-11 06:56:56,385 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 62/130 +[2025-03-11 06:56:56,425 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 63/130 +[2025-03-11 06:56:56,466 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 64/130 +[2025-03-11 06:56:56,508 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 65/130 +[2025-03-11 06:56:56,555 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 66/130 +[2025-03-11 06:56:56,595 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 67/130 +[2025-03-11 06:56:56,642 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 68/130 +[2025-03-11 06:56:56,692 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 69/130 +[2025-03-11 06:56:56,733 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 70/130 +[2025-03-11 06:56:56,775 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 71/130 +[2025-03-11 06:56:56,818 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 72/130 +[2025-03-11 06:56:56,860 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 73/130 +[2025-03-11 06:56:56,927 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 74/130 +[2025-03-11 06:56:56,969 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 75/130 +[2025-03-11 06:56:57,010 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 76/130 +[2025-03-11 06:56:57,052 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 77/130 +[2025-03-11 06:56:57,095 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 78/130 +[2025-03-11 06:56:57,143 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 79/130 +[2025-03-11 06:56:57,186 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 80/130 +[2025-03-11 06:56:57,254 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 81/130 +[2025-03-11 06:56:57,295 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 82/130 +[2025-03-11 06:56:57,338 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 83/130 +[2025-03-11 06:56:57,384 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 84/130 +[2025-03-11 06:56:57,434 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 85/130 +[2025-03-11 06:56:57,483 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 86/130 +[2025-03-11 06:56:57,528 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 87/130 +[2025-03-11 06:56:57,585 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 88/130 +[2025-03-11 06:56:57,636 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 89/130 +[2025-03-11 06:56:57,687 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 90/130 +[2025-03-11 06:56:57,739 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 91/130 +[2025-03-11 06:56:57,793 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 92/130 +[2025-03-11 06:56:57,844 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 93/130 +[2025-03-11 06:56:57,902 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 94/130 +[2025-03-11 06:56:57,956 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 95/130 +[2025-03-11 06:56:58,037 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 96/130 +[2025-03-11 06:56:58,093 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 97/130 +[2025-03-11 06:56:58,148 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 98/130 +[2025-03-11 06:56:58,194 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 99/130 +[2025-03-11 06:56:58,239 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 100/130 +[2025-03-11 06:56:58,284 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 101/130 +[2025-03-11 06:56:58,330 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 102/130 +[2025-03-11 06:56:58,375 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 103/130 +[2025-03-11 06:56:58,446 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 104/130 +[2025-03-11 06:56:58,493 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 105/130 +[2025-03-11 06:56:58,537 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 106/130 +[2025-03-11 06:56:58,582 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 107/130 +[2025-03-11 06:56:58,627 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 108/130 +[2025-03-11 06:56:58,671 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 109/130 +[2025-03-11 06:56:58,715 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 110/130 +[2025-03-11 06:56:58,760 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 111/130 +[2025-03-11 06:56:58,804 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 112/130 +[2025-03-11 06:56:58,848 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 113/130 +[2025-03-11 06:56:58,893 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 114/130 +[2025-03-11 06:56:58,938 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 115/130 +[2025-03-11 06:56:58,981 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 116/130 +[2025-03-11 06:56:59,024 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 117/130 +[2025-03-11 06:56:59,069 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 118/130 +[2025-03-11 06:56:59,113 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 119/130 +[2025-03-11 06:56:59,157 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 120/130 +[2025-03-11 06:56:59,201 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 121/130 +[2025-03-11 06:56:59,243 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 122/130 +[2025-03-11 06:56:59,286 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 123/130 +[2025-03-11 06:56:59,329 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 124/130 +[2025-03-11 06:56:59,372 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 125/130 +[2025-03-11 06:56:59,416 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 126/130 +[2025-03-11 06:56:59,467 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 127/130 +[2025-03-11 06:56:59,519 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 128/130 +[2025-03-11 06:56:59,574 INFO test.py line 201 2389709] Test: 11/78-scene0030_00, Batch: 129/130 +[2025-03-11 06:56:59,933 INFO test.py line 291 2389709] Test: scene0030_00 [11/78]-293811 Batch 6.352 (4.192) Accuracy 0.8444 (0.2576) mIoU 0.3774 (0.2281) +[2025-03-11 06:57:00,001 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 0/143 +[2025-03-11 06:57:00,032 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 1/143 +[2025-03-11 06:57:00,061 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 2/143 +[2025-03-11 06:57:00,091 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 3/143 +[2025-03-11 06:57:00,122 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 4/143 +[2025-03-11 06:57:00,150 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 5/143 +[2025-03-11 06:57:00,179 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 6/143 +[2025-03-11 06:57:00,209 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 7/143 +[2025-03-11 06:57:00,239 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 8/143 +[2025-03-11 06:57:00,269 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 9/143 +[2025-03-11 06:57:00,298 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 10/143 +[2025-03-11 06:57:00,332 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 11/143 +[2025-03-11 06:57:00,361 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 12/143 +[2025-03-11 06:57:00,389 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 13/143 +[2025-03-11 06:57:00,418 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 14/143 +[2025-03-11 06:57:00,447 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 15/143 +[2025-03-11 06:57:00,476 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 16/143 +[2025-03-11 06:57:00,519 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 17/143 +[2025-03-11 06:57:00,549 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 18/143 +[2025-03-11 06:57:00,578 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 19/143 +[2025-03-11 06:57:00,608 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 20/143 +[2025-03-11 06:57:00,636 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 21/143 +[2025-03-11 06:57:00,665 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 22/143 +[2025-03-11 06:57:00,694 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 23/143 +[2025-03-11 06:57:00,723 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 24/143 +[2025-03-11 06:57:00,753 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 25/143 +[2025-03-11 06:57:00,782 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 26/143 +[2025-03-11 06:57:00,811 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 27/143 +[2025-03-11 06:57:00,839 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 28/143 +[2025-03-11 06:57:00,868 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 29/143 +[2025-03-11 06:57:00,907 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 30/143 +[2025-03-11 06:57:00,938 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 31/143 +[2025-03-11 06:57:00,969 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 32/143 +[2025-03-11 06:57:00,997 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 33/143 +[2025-03-11 06:57:01,040 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 34/143 +[2025-03-11 06:57:01,076 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 35/143 +[2025-03-11 06:57:01,105 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 36/143 +[2025-03-11 06:57:01,134 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 37/143 +[2025-03-11 06:57:01,162 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 38/143 +[2025-03-11 06:57:01,190 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 39/143 +[2025-03-11 06:57:01,218 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 40/143 +[2025-03-11 06:57:01,246 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 41/143 +[2025-03-11 06:57:01,280 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 42/143 +[2025-03-11 06:57:01,311 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 43/143 +[2025-03-11 06:57:01,339 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 44/143 +[2025-03-11 06:57:01,369 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 45/143 +[2025-03-11 06:57:01,396 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 46/143 +[2025-03-11 06:57:01,423 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 47/143 +[2025-03-11 06:57:01,451 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 48/143 +[2025-03-11 06:57:01,479 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 49/143 +[2025-03-11 06:57:01,506 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 50/143 +[2025-03-11 06:57:01,533 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 51/143 +[2025-03-11 06:57:01,561 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 52/143 +[2025-03-11 06:57:01,589 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 53/143 +[2025-03-11 06:57:01,617 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 54/143 +[2025-03-11 06:57:01,660 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 55/143 +[2025-03-11 06:57:01,687 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 56/143 +[2025-03-11 06:57:01,714 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 57/143 +[2025-03-11 06:57:01,741 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 58/143 +[2025-03-11 06:57:01,769 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 59/143 +[2025-03-11 06:57:01,796 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 60/143 +[2025-03-11 06:57:01,824 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 61/143 +[2025-03-11 06:57:01,852 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 62/143 +[2025-03-11 06:57:01,880 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 63/143 +[2025-03-11 06:57:01,907 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 64/143 +[2025-03-11 06:57:01,935 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 65/143 +[2025-03-11 06:57:01,963 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 66/143 +[2025-03-11 06:57:01,990 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 67/143 +[2025-03-11 06:57:02,018 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 68/143 +[2025-03-11 06:57:02,045 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 69/143 +[2025-03-11 06:57:02,072 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 70/143 +[2025-03-11 06:57:02,100 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 71/143 +[2025-03-11 06:57:02,130 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 72/143 +[2025-03-11 06:57:02,162 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 73/143 +[2025-03-11 06:57:02,196 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 74/143 +[2025-03-11 06:57:02,223 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 75/143 +[2025-03-11 06:57:02,249 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 76/143 +[2025-03-11 06:57:02,286 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 77/143 +[2025-03-11 06:57:02,321 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 78/143 +[2025-03-11 06:57:02,355 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 79/143 +[2025-03-11 06:57:02,391 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 80/143 +[2025-03-11 06:57:02,428 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 81/143 +[2025-03-11 06:57:02,467 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 82/143 +[2025-03-11 06:57:02,503 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 83/143 +[2025-03-11 06:57:02,540 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 84/143 +[2025-03-11 06:57:02,573 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 85/143 +[2025-03-11 06:57:02,607 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 86/143 +[2025-03-11 06:57:02,639 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 87/143 +[2025-03-11 06:57:02,675 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 88/143 +[2025-03-11 06:57:02,711 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 89/143 +[2025-03-11 06:57:02,749 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 90/143 +[2025-03-11 06:57:02,783 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 91/143 +[2025-03-11 06:57:02,813 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 92/143 +[2025-03-11 06:57:02,843 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 93/143 +[2025-03-11 06:57:02,873 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 94/143 +[2025-03-11 06:57:02,903 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 95/143 +[2025-03-11 06:57:02,932 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 96/143 +[2025-03-11 06:57:02,961 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 97/143 +[2025-03-11 06:57:02,991 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 98/143 +[2025-03-11 06:57:03,021 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 99/143 +[2025-03-11 06:57:03,051 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 100/143 +[2025-03-11 06:57:03,081 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 101/143 +[2025-03-11 06:57:03,111 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 102/143 +[2025-03-11 06:57:03,140 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 103/143 +[2025-03-11 06:57:03,170 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 104/143 +[2025-03-11 06:57:03,200 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 105/143 +[2025-03-11 06:57:03,230 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 106/143 +[2025-03-11 06:57:03,259 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 107/143 +[2025-03-11 06:57:03,289 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 108/143 +[2025-03-11 06:57:03,318 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 109/143 +[2025-03-11 06:57:03,347 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 110/143 +[2025-03-11 06:57:03,376 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 111/143 +[2025-03-11 06:57:03,405 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 112/143 +[2025-03-11 06:57:03,434 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 113/143 +[2025-03-11 06:57:03,463 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 114/143 +[2025-03-11 06:57:03,492 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 115/143 +[2025-03-11 06:57:03,521 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 116/143 +[2025-03-11 06:57:03,551 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 117/143 +[2025-03-11 06:57:03,580 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 118/143 +[2025-03-11 06:57:03,609 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 119/143 +[2025-03-11 06:57:03,638 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 120/143 +[2025-03-11 06:57:03,667 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 121/143 +[2025-03-11 06:57:03,697 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 122/143 +[2025-03-11 06:57:03,727 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 123/143 +[2025-03-11 06:57:03,756 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 124/143 +[2025-03-11 06:57:03,786 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 125/143 +[2025-03-11 06:57:03,816 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 126/143 +[2025-03-11 06:57:03,845 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 127/143 +[2025-03-11 06:57:03,874 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 128/143 +[2025-03-11 06:57:03,903 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 129/143 +[2025-03-11 06:57:03,932 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 130/143 +[2025-03-11 06:57:03,961 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 131/143 +[2025-03-11 06:57:03,991 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 132/143 +[2025-03-11 06:57:04,021 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 133/143 +[2025-03-11 06:57:04,050 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 134/143 +[2025-03-11 06:57:04,080 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 135/143 +[2025-03-11 06:57:04,110 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 136/143 +[2025-03-11 06:57:04,140 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 137/143 +[2025-03-11 06:57:04,170 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 138/143 +[2025-03-11 06:57:04,199 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 139/143 +[2025-03-11 06:57:04,229 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 140/143 +[2025-03-11 06:57:04,259 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 141/143 +[2025-03-11 06:57:04,289 INFO test.py line 201 2389709] Test: 12/78-scene0088_01, Batch: 142/143 +[2025-03-11 06:57:04,453 INFO test.py line 291 2389709] Test: scene0088_01 [12/78]-145650 Batch 4.519 (4.219) Accuracy 0.7023 (0.2570) mIoU 0.4389 (0.2259) +[2025-03-11 06:57:04,513 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 0/134 +[2025-03-11 06:57:04,541 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 1/134 +[2025-03-11 06:57:04,568 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 2/134 +[2025-03-11 06:57:04,596 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 3/134 +[2025-03-11 06:57:04,623 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 4/134 +[2025-03-11 06:57:04,649 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 5/134 +[2025-03-11 06:57:04,677 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 6/134 +[2025-03-11 06:57:04,705 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 7/134 +[2025-03-11 06:57:04,732 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 8/134 +[2025-03-11 06:57:04,760 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 9/134 +[2025-03-11 06:57:04,787 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 10/134 +[2025-03-11 06:57:04,814 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 11/134 +[2025-03-11 06:57:04,845 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 12/134 +[2025-03-11 06:57:04,879 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 13/134 +[2025-03-11 06:57:04,918 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 14/134 +[2025-03-11 06:57:04,946 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 15/134 +[2025-03-11 06:57:04,974 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 16/134 +[2025-03-11 06:57:05,001 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 17/134 +[2025-03-11 06:57:05,028 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 18/134 +[2025-03-11 06:57:05,055 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 19/134 +[2025-03-11 06:57:05,082 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 20/134 +[2025-03-11 06:57:05,108 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 21/134 +[2025-03-11 06:57:05,136 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 22/134 +[2025-03-11 06:57:05,163 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 23/134 +[2025-03-11 06:57:05,188 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 24/134 +[2025-03-11 06:57:05,215 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 25/134 +[2025-03-11 06:57:05,242 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 26/134 +[2025-03-11 06:57:05,269 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 27/134 +[2025-03-11 06:57:05,296 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 28/134 +[2025-03-11 06:57:05,323 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 29/134 +[2025-03-11 06:57:05,349 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 30/134 +[2025-03-11 06:57:05,374 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 31/134 +[2025-03-11 06:57:05,400 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 32/134 +[2025-03-11 06:57:05,427 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 33/134 +[2025-03-11 06:57:05,454 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 34/134 +[2025-03-11 06:57:05,481 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 35/134 +[2025-03-11 06:57:05,508 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 36/134 +[2025-03-11 06:57:05,534 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 37/134 +[2025-03-11 06:57:05,560 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 38/134 +[2025-03-11 06:57:05,592 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 39/134 +[2025-03-11 06:57:05,627 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 40/134 +[2025-03-11 06:57:05,652 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 41/134 +[2025-03-11 06:57:05,677 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 42/134 +[2025-03-11 06:57:05,702 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 43/134 +[2025-03-11 06:57:05,732 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 44/134 +[2025-03-11 06:57:05,756 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 45/134 +[2025-03-11 06:57:05,782 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 46/134 +[2025-03-11 06:57:05,807 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 47/134 +[2025-03-11 06:57:05,835 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 48/134 +[2025-03-11 06:57:05,861 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 49/134 +[2025-03-11 06:57:05,887 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 50/134 +[2025-03-11 06:57:05,912 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 51/134 +[2025-03-11 06:57:05,945 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 52/134 +[2025-03-11 06:57:05,970 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 53/134 +[2025-03-11 06:57:05,995 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 54/134 +[2025-03-11 06:57:06,020 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 55/134 +[2025-03-11 06:57:06,058 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 56/134 +[2025-03-11 06:57:06,083 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 57/134 +[2025-03-11 06:57:06,108 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 58/134 +[2025-03-11 06:57:06,134 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 59/134 +[2025-03-11 06:57:06,160 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 60/134 +[2025-03-11 06:57:06,186 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 61/134 +[2025-03-11 06:57:06,216 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 62/134 +[2025-03-11 06:57:06,243 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 63/134 +[2025-03-11 06:57:06,269 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 64/134 +[2025-03-11 06:57:06,294 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 65/134 +[2025-03-11 06:57:06,319 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 66/134 +[2025-03-11 06:57:06,345 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 67/134 +[2025-03-11 06:57:06,371 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 68/134 +[2025-03-11 06:57:06,396 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 69/134 +[2025-03-11 06:57:06,420 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 70/134 +[2025-03-11 06:57:06,445 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 71/134 +[2025-03-11 06:57:06,473 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 72/134 +[2025-03-11 06:57:06,500 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 73/134 +[2025-03-11 06:57:06,526 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 74/134 +[2025-03-11 06:57:06,552 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 75/134 +[2025-03-11 06:57:06,578 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 76/134 +[2025-03-11 06:57:06,604 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 77/134 +[2025-03-11 06:57:06,644 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 78/134 +[2025-03-11 06:57:06,685 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 79/134 +[2025-03-11 06:57:06,715 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 80/134 +[2025-03-11 06:57:06,750 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 81/134 +[2025-03-11 06:57:06,785 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 82/134 +[2025-03-11 06:57:06,819 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 83/134 +[2025-03-11 06:57:06,853 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 84/134 +[2025-03-11 06:57:06,890 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 85/134 +[2025-03-11 06:57:06,925 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 86/134 +[2025-03-11 06:57:06,956 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 87/134 +[2025-03-11 06:57:06,991 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 88/134 +[2025-03-11 06:57:07,034 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 89/134 +[2025-03-11 06:57:07,077 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 90/134 +[2025-03-11 06:57:07,126 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 91/134 +[2025-03-11 06:57:07,177 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 92/134 +[2025-03-11 06:57:07,209 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 93/134 +[2025-03-11 06:57:07,236 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 94/134 +[2025-03-11 06:57:07,264 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 95/134 +[2025-03-11 06:57:07,303 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 96/134 +[2025-03-11 06:57:07,331 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 97/134 +[2025-03-11 06:57:07,358 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 98/134 +[2025-03-11 06:57:07,385 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 99/134 +[2025-03-11 06:57:07,411 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 100/134 +[2025-03-11 06:57:07,439 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 101/134 +[2025-03-11 06:57:07,465 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 102/134 +[2025-03-11 06:57:07,492 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 103/134 +[2025-03-11 06:57:07,520 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 104/134 +[2025-03-11 06:57:07,548 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 105/134 +[2025-03-11 06:57:07,577 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 106/134 +[2025-03-11 06:57:07,604 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 107/134 +[2025-03-11 06:57:07,632 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 108/134 +[2025-03-11 06:57:07,660 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 109/134 +[2025-03-11 06:57:07,688 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 110/134 +[2025-03-11 06:57:07,715 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 111/134 +[2025-03-11 06:57:07,742 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 112/134 +[2025-03-11 06:57:07,769 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 113/134 +[2025-03-11 06:57:07,796 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 114/134 +[2025-03-11 06:57:07,823 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 115/134 +[2025-03-11 06:57:07,849 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 116/134 +[2025-03-11 06:57:07,875 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 117/134 +[2025-03-11 06:57:07,902 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 118/134 +[2025-03-11 06:57:07,959 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 119/134 +[2025-03-11 06:57:08,001 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 120/134 +[2025-03-11 06:57:08,037 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 121/134 +[2025-03-11 06:57:08,073 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 122/134 +[2025-03-11 06:57:08,109 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 123/134 +[2025-03-11 06:57:08,145 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 124/134 +[2025-03-11 06:57:08,180 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 125/134 +[2025-03-11 06:57:08,217 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 126/134 +[2025-03-11 06:57:08,245 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 127/134 +[2025-03-11 06:57:08,270 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 128/134 +[2025-03-11 06:57:08,296 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 129/134 +[2025-03-11 06:57:08,332 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 130/134 +[2025-03-11 06:57:08,361 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 131/134 +[2025-03-11 06:57:08,388 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 132/134 +[2025-03-11 06:57:08,414 INFO test.py line 201 2389709] Test: 13/78-scene0690_01, Batch: 133/134 +[2025-03-11 06:57:08,529 INFO test.py line 291 2389709] Test: scene0690_01 [13/78]-109935 Batch 4.076 (4.208) Accuracy 0.8267 (0.2709) mIoU 0.3516 (0.2379) +[2025-03-11 06:57:08,592 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 0/126 +[2025-03-11 06:57:08,649 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 1/126 +[2025-03-11 06:57:08,677 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 2/126 +[2025-03-11 06:57:08,708 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 3/126 +[2025-03-11 06:57:08,738 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 4/126 +[2025-03-11 06:57:08,783 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 5/126 +[2025-03-11 06:57:08,816 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 6/126 +[2025-03-11 06:57:08,846 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 7/126 +[2025-03-11 06:57:08,876 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 8/126 +[2025-03-11 06:57:08,905 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 9/126 +[2025-03-11 06:57:08,934 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 10/126 +[2025-03-11 06:57:08,965 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 11/126 +[2025-03-11 06:57:08,995 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 12/126 +[2025-03-11 06:57:09,024 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 13/126 +[2025-03-11 06:57:09,067 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 14/126 +[2025-03-11 06:57:09,105 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 15/126 +[2025-03-11 06:57:09,138 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 16/126 +[2025-03-11 06:57:09,169 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 17/126 +[2025-03-11 06:57:09,200 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 18/126 +[2025-03-11 06:57:09,230 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 19/126 +[2025-03-11 06:57:09,261 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 20/126 +[2025-03-11 06:57:09,291 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 21/126 +[2025-03-11 06:57:09,320 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 22/126 +[2025-03-11 06:57:09,353 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 23/126 +[2025-03-11 06:57:09,382 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 24/126 +[2025-03-11 06:57:09,419 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 25/126 +[2025-03-11 06:57:09,450 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 26/126 +[2025-03-11 06:57:09,479 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 27/126 +[2025-03-11 06:57:09,507 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 28/126 +[2025-03-11 06:57:09,535 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 29/126 +[2025-03-11 06:57:09,572 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 30/126 +[2025-03-11 06:57:09,605 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 31/126 +[2025-03-11 06:57:09,639 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 32/126 +[2025-03-11 06:57:09,671 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 33/126 +[2025-03-11 06:57:09,706 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 34/126 +[2025-03-11 06:57:09,735 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 35/126 +[2025-03-11 06:57:09,765 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 36/126 +[2025-03-11 06:57:09,794 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 37/126 +[2025-03-11 06:57:09,823 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 38/126 +[2025-03-11 06:57:09,852 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 39/126 +[2025-03-11 06:57:09,893 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 40/126 +[2025-03-11 06:57:09,926 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 41/126 +[2025-03-11 06:57:09,959 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 42/126 +[2025-03-11 06:57:10,000 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 43/126 +[2025-03-11 06:57:10,035 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 44/126 +[2025-03-11 06:57:10,070 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 45/126 +[2025-03-11 06:57:10,109 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 46/126 +[2025-03-11 06:57:10,147 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 47/126 +[2025-03-11 06:57:10,195 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 48/126 +[2025-03-11 06:57:10,235 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 49/126 +[2025-03-11 06:57:10,279 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 50/126 +[2025-03-11 06:57:10,321 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 51/126 +[2025-03-11 06:57:10,361 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 52/126 +[2025-03-11 06:57:10,398 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 53/126 +[2025-03-11 06:57:10,433 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 54/126 +[2025-03-11 06:57:10,462 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 55/126 +[2025-03-11 06:57:10,491 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 56/126 +[2025-03-11 06:57:10,519 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 57/126 +[2025-03-11 06:57:10,559 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 58/126 +[2025-03-11 06:57:10,586 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 59/126 +[2025-03-11 06:57:10,618 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 60/126 +[2025-03-11 06:57:10,652 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 61/126 +[2025-03-11 06:57:10,685 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 62/126 +[2025-03-11 06:57:10,713 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 63/126 +[2025-03-11 06:57:10,740 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 64/126 +[2025-03-11 06:57:10,767 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 65/126 +[2025-03-11 06:57:10,794 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 66/126 +[2025-03-11 06:57:10,821 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 67/126 +[2025-03-11 06:57:10,854 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 68/126 +[2025-03-11 06:57:10,884 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 69/126 +[2025-03-11 06:57:10,912 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 70/126 +[2025-03-11 06:57:10,940 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 71/126 +[2025-03-11 06:57:10,967 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 72/126 +[2025-03-11 06:57:10,994 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 73/126 +[2025-03-11 06:57:11,021 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 74/126 +[2025-03-11 06:57:11,049 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 75/126 +[2025-03-11 06:57:11,076 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 76/126 +[2025-03-11 06:57:11,103 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 77/126 +[2025-03-11 06:57:11,130 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 78/126 +[2025-03-11 06:57:11,165 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 79/126 +[2025-03-11 06:57:11,195 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 80/126 +[2025-03-11 06:57:11,225 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 81/126 +[2025-03-11 06:57:11,255 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 82/126 +[2025-03-11 06:57:11,285 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 83/126 +[2025-03-11 06:57:11,315 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 84/126 +[2025-03-11 06:57:11,345 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 85/126 +[2025-03-11 06:57:11,376 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 86/126 +[2025-03-11 06:57:11,406 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 87/126 +[2025-03-11 06:57:11,436 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 88/126 +[2025-03-11 06:57:11,465 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 89/126 +[2025-03-11 06:57:11,494 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 90/126 +[2025-03-11 06:57:11,525 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 91/126 +[2025-03-11 06:57:11,555 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 92/126 +[2025-03-11 06:57:11,585 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 93/126 +[2025-03-11 06:57:11,615 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 94/126 +[2025-03-11 06:57:11,645 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 95/126 +[2025-03-11 06:57:11,675 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 96/126 +[2025-03-11 06:57:11,704 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 97/126 +[2025-03-11 06:57:11,734 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 98/126 +[2025-03-11 06:57:11,764 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 99/126 +[2025-03-11 06:57:11,794 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 100/126 +[2025-03-11 06:57:11,824 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 101/126 +[2025-03-11 06:57:11,853 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 102/126 +[2025-03-11 06:57:11,884 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 103/126 +[2025-03-11 06:57:11,913 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 104/126 +[2025-03-11 06:57:11,942 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 105/126 +[2025-03-11 06:57:11,972 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 106/126 +[2025-03-11 06:57:12,001 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 107/126 +[2025-03-11 06:57:12,031 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 108/126 +[2025-03-11 06:57:12,061 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 109/126 +[2025-03-11 06:57:12,089 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 110/126 +[2025-03-11 06:57:12,118 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 111/126 +[2025-03-11 06:57:12,147 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 112/126 +[2025-03-11 06:57:12,176 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 113/126 +[2025-03-11 06:57:12,218 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 114/126 +[2025-03-11 06:57:12,252 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 115/126 +[2025-03-11 06:57:12,288 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 116/126 +[2025-03-11 06:57:12,319 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 117/126 +[2025-03-11 06:57:12,360 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 118/126 +[2025-03-11 06:57:12,389 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 119/126 +[2025-03-11 06:57:12,417 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 120/126 +[2025-03-11 06:57:12,457 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 121/126 +[2025-03-11 06:57:12,499 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 122/126 +[2025-03-11 06:57:12,540 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 123/126 +[2025-03-11 06:57:12,570 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 124/126 +[2025-03-11 06:57:12,598 INFO test.py line 201 2389709] Test: 14/78-scene0598_00, Batch: 125/126 +[2025-03-11 06:57:12,772 INFO test.py line 291 2389709] Test: scene0598_00 [14/78]-145562 Batch 4.243 (4.210) Accuracy 0.4621 (0.2724) mIoU 0.4329 (0.2353) +[2025-03-11 06:57:12,829 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 0/138 +[2025-03-11 06:57:12,857 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 1/138 +[2025-03-11 06:57:12,883 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 2/138 +[2025-03-11 06:57:12,911 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 3/138 +[2025-03-11 06:57:12,938 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 4/138 +[2025-03-11 06:57:12,965 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 5/138 +[2025-03-11 06:57:12,992 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 6/138 +[2025-03-11 06:57:13,036 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 7/138 +[2025-03-11 06:57:13,081 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 8/138 +[2025-03-11 06:57:13,135 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 9/138 +[2025-03-11 06:57:13,162 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 10/138 +[2025-03-11 06:57:13,189 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 11/138 +[2025-03-11 06:57:13,216 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 12/138 +[2025-03-11 06:57:13,249 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 13/138 +[2025-03-11 06:57:13,303 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 14/138 +[2025-03-11 06:57:13,330 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 15/138 +[2025-03-11 06:57:13,375 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 16/138 +[2025-03-11 06:57:13,408 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 17/138 +[2025-03-11 06:57:13,435 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 18/138 +[2025-03-11 06:57:13,464 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 19/138 +[2025-03-11 06:57:13,491 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 20/138 +[2025-03-11 06:57:13,519 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 21/138 +[2025-03-11 06:57:13,547 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 22/138 +[2025-03-11 06:57:13,574 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 23/138 +[2025-03-11 06:57:13,601 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 24/138 +[2025-03-11 06:57:13,629 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 25/138 +[2025-03-11 06:57:13,656 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 26/138 +[2025-03-11 06:57:13,683 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 27/138 +[2025-03-11 06:57:13,711 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 28/138 +[2025-03-11 06:57:13,745 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 29/138 +[2025-03-11 06:57:13,778 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 30/138 +[2025-03-11 06:57:13,808 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 31/138 +[2025-03-11 06:57:13,842 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 32/138 +[2025-03-11 06:57:13,869 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 33/138 +[2025-03-11 06:57:13,898 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 34/138 +[2025-03-11 06:57:13,927 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 35/138 +[2025-03-11 06:57:13,956 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 36/138 +[2025-03-11 06:57:13,984 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 37/138 +[2025-03-11 06:57:14,019 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 38/138 +[2025-03-11 06:57:14,061 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 39/138 +[2025-03-11 06:57:14,103 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 40/138 +[2025-03-11 06:57:14,132 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 41/138 +[2025-03-11 06:57:14,159 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 42/138 +[2025-03-11 06:57:14,188 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 43/138 +[2025-03-11 06:57:14,215 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 44/138 +[2025-03-11 06:57:14,243 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 45/138 +[2025-03-11 06:57:14,271 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 46/138 +[2025-03-11 06:57:14,298 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 47/138 +[2025-03-11 06:57:14,341 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 48/138 +[2025-03-11 06:57:14,384 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 49/138 +[2025-03-11 06:57:14,428 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 50/138 +[2025-03-11 06:57:14,459 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 51/138 +[2025-03-11 06:57:14,487 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 52/138 +[2025-03-11 06:57:14,514 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 53/138 +[2025-03-11 06:57:14,543 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 54/138 +[2025-03-11 06:57:14,571 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 55/138 +[2025-03-11 06:57:14,598 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 56/138 +[2025-03-11 06:57:14,625 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 57/138 +[2025-03-11 06:57:14,660 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 58/138 +[2025-03-11 06:57:14,687 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 59/138 +[2025-03-11 06:57:14,731 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 60/138 +[2025-03-11 06:57:14,759 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 61/138 +[2025-03-11 06:57:14,787 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 62/138 +[2025-03-11 06:57:14,814 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 63/138 +[2025-03-11 06:57:14,841 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 64/138 +[2025-03-11 06:57:14,869 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 65/138 +[2025-03-11 06:57:14,913 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 66/138 +[2025-03-11 06:57:14,947 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 67/138 +[2025-03-11 06:57:14,976 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 68/138 +[2025-03-11 06:57:15,002 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 69/138 +[2025-03-11 06:57:15,029 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 70/138 +[2025-03-11 06:57:15,057 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 71/138 +[2025-03-11 06:57:15,086 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 72/138 +[2025-03-11 06:57:15,112 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 73/138 +[2025-03-11 06:57:15,151 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 74/138 +[2025-03-11 06:57:15,191 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 75/138 +[2025-03-11 06:57:15,231 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 76/138 +[2025-03-11 06:57:15,269 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 77/138 +[2025-03-11 06:57:15,308 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 78/138 +[2025-03-11 06:57:15,348 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 79/138 +[2025-03-11 06:57:15,403 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 80/138 +[2025-03-11 06:57:15,431 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 81/138 +[2025-03-11 06:57:15,459 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 82/138 +[2025-03-11 06:57:15,487 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 83/138 +[2025-03-11 06:57:15,516 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 84/138 +[2025-03-11 06:57:15,544 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 85/138 +[2025-03-11 06:57:15,573 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 86/138 +[2025-03-11 06:57:15,605 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 87/138 +[2025-03-11 06:57:15,635 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 88/138 +[2025-03-11 06:57:15,663 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 89/138 +[2025-03-11 06:57:15,691 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 90/138 +[2025-03-11 06:57:15,719 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 91/138 +[2025-03-11 06:57:15,747 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 92/138 +[2025-03-11 06:57:15,776 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 93/138 +[2025-03-11 06:57:15,805 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 94/138 +[2025-03-11 06:57:15,833 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 95/138 +[2025-03-11 06:57:15,860 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 96/138 +[2025-03-11 06:57:15,896 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 97/138 +[2025-03-11 06:57:15,923 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 98/138 +[2025-03-11 06:57:15,952 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 99/138 +[2025-03-11 06:57:15,981 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 100/138 +[2025-03-11 06:57:16,009 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 101/138 +[2025-03-11 06:57:16,037 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 102/138 +[2025-03-11 06:57:16,066 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 103/138 +[2025-03-11 06:57:16,095 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 104/138 +[2025-03-11 06:57:16,123 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 105/138 +[2025-03-11 06:57:16,152 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 106/138 +[2025-03-11 06:57:16,186 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 107/138 +[2025-03-11 06:57:16,216 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 108/138 +[2025-03-11 06:57:16,244 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 109/138 +[2025-03-11 06:57:16,273 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 110/138 +[2025-03-11 06:57:16,302 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 111/138 +[2025-03-11 06:57:16,331 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 112/138 +[2025-03-11 06:57:16,358 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 113/138 +[2025-03-11 06:57:16,387 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 114/138 +[2025-03-11 06:57:16,416 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 115/138 +[2025-03-11 06:57:16,444 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 116/138 +[2025-03-11 06:57:16,472 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 117/138 +[2025-03-11 06:57:16,500 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 118/138 +[2025-03-11 06:57:16,527 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 119/138 +[2025-03-11 06:57:16,557 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 120/138 +[2025-03-11 06:57:16,585 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 121/138 +[2025-03-11 06:57:16,613 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 122/138 +[2025-03-11 06:57:16,643 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 123/138 +[2025-03-11 06:57:16,672 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 124/138 +[2025-03-11 06:57:16,701 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 125/138 +[2025-03-11 06:57:16,730 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 126/138 +[2025-03-11 06:57:16,759 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 127/138 +[2025-03-11 06:57:16,787 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 128/138 +[2025-03-11 06:57:16,815 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 129/138 +[2025-03-11 06:57:16,844 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 130/138 +[2025-03-11 06:57:16,873 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 131/138 +[2025-03-11 06:57:16,900 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 132/138 +[2025-03-11 06:57:16,927 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 133/138 +[2025-03-11 06:57:16,958 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 134/138 +[2025-03-11 06:57:16,986 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 135/138 +[2025-03-11 06:57:17,012 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 136/138 +[2025-03-11 06:57:17,039 INFO test.py line 201 2389709] Test: 15/78-scene0695_00, Batch: 137/138 +[2025-03-11 06:57:17,211 INFO test.py line 291 2389709] Test: scene0695_00 [15/78]-133418 Batch 4.439 (4.226) Accuracy 0.7116 (0.2797) mIoU 0.2752 (0.2388) +[2025-03-11 06:57:17,277 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 0/122 +[2025-03-11 06:57:17,323 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 1/122 +[2025-03-11 06:57:17,367 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 2/122 +[2025-03-11 06:57:17,421 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 3/122 +[2025-03-11 06:57:17,462 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 4/122 +[2025-03-11 06:57:17,509 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 5/122 +[2025-03-11 06:57:17,555 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 6/122 +[2025-03-11 06:57:17,600 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 7/122 +[2025-03-11 06:57:17,639 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 8/122 +[2025-03-11 06:57:17,669 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 9/122 +[2025-03-11 06:57:17,699 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 10/122 +[2025-03-11 06:57:17,730 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 11/122 +[2025-03-11 06:57:17,764 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 12/122 +[2025-03-11 06:57:17,796 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 13/122 +[2025-03-11 06:57:17,838 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 14/122 +[2025-03-11 06:57:17,886 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 15/122 +[2025-03-11 06:57:17,942 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 16/122 +[2025-03-11 06:57:17,969 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 17/122 +[2025-03-11 06:57:18,003 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 18/122 +[2025-03-11 06:57:18,031 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 19/122 +[2025-03-11 06:57:18,060 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 20/122 +[2025-03-11 06:57:18,100 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 21/122 +[2025-03-11 06:57:18,126 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 22/122 +[2025-03-11 06:57:18,151 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 23/122 +[2025-03-11 06:57:18,182 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 24/122 +[2025-03-11 06:57:18,208 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 25/122 +[2025-03-11 06:57:18,232 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 26/122 +[2025-03-11 06:57:18,273 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 27/122 +[2025-03-11 06:57:18,298 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 28/122 +[2025-03-11 06:57:18,323 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 29/122 +[2025-03-11 06:57:18,349 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 30/122 +[2025-03-11 06:57:18,374 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 31/122 +[2025-03-11 06:57:18,399 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 32/122 +[2025-03-11 06:57:18,437 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 33/122 +[2025-03-11 06:57:18,462 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 34/122 +[2025-03-11 06:57:18,487 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 35/122 +[2025-03-11 06:57:18,513 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 36/122 +[2025-03-11 06:57:18,538 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 37/122 +[2025-03-11 06:57:18,564 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 38/122 +[2025-03-11 06:57:18,590 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 39/122 +[2025-03-11 06:57:18,616 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 40/122 +[2025-03-11 06:57:18,640 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 41/122 +[2025-03-11 06:57:18,666 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 42/122 +[2025-03-11 06:57:18,692 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 43/122 +[2025-03-11 06:57:18,717 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 44/122 +[2025-03-11 06:57:18,741 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 45/122 +[2025-03-11 06:57:18,765 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 46/122 +[2025-03-11 06:57:18,789 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 47/122 +[2025-03-11 06:57:18,814 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 48/122 +[2025-03-11 06:57:18,837 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 49/122 +[2025-03-11 06:57:18,869 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 50/122 +[2025-03-11 06:57:18,905 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 51/122 +[2025-03-11 06:57:18,939 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 52/122 +[2025-03-11 06:57:18,969 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 53/122 +[2025-03-11 06:57:18,994 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 54/122 +[2025-03-11 06:57:19,019 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 55/122 +[2025-03-11 06:57:19,043 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 56/122 +[2025-03-11 06:57:19,066 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 57/122 +[2025-03-11 06:57:19,090 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 58/122 +[2025-03-11 06:57:19,113 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 59/122 +[2025-03-11 06:57:19,137 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 60/122 +[2025-03-11 06:57:19,160 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 61/122 +[2025-03-11 06:57:19,184 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 62/122 +[2025-03-11 06:57:19,207 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 63/122 +[2025-03-11 06:57:19,232 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 64/122 +[2025-03-11 06:57:19,256 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 65/122 +[2025-03-11 06:57:19,283 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 66/122 +[2025-03-11 06:57:19,307 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 67/122 +[2025-03-11 06:57:19,333 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 68/122 +[2025-03-11 06:57:19,359 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 69/122 +[2025-03-11 06:57:19,387 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 70/122 +[2025-03-11 06:57:19,417 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 71/122 +[2025-03-11 06:57:19,441 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 72/122 +[2025-03-11 06:57:19,466 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 73/122 +[2025-03-11 06:57:19,489 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 74/122 +[2025-03-11 06:57:19,518 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 75/122 +[2025-03-11 06:57:19,570 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 76/122 +[2025-03-11 06:57:19,594 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 77/122 +[2025-03-11 06:57:19,617 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 78/122 +[2025-03-11 06:57:19,645 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 79/122 +[2025-03-11 06:57:19,673 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 80/122 +[2025-03-11 06:57:19,699 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 81/122 +[2025-03-11 06:57:19,724 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 82/122 +[2025-03-11 06:57:19,747 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 83/122 +[2025-03-11 06:57:19,771 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 84/122 +[2025-03-11 06:57:19,795 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 85/122 +[2025-03-11 06:57:19,820 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 86/122 +[2025-03-11 06:57:19,844 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 87/122 +[2025-03-11 06:57:19,868 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 88/122 +[2025-03-11 06:57:19,900 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 89/122 +[2025-03-11 06:57:19,924 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 90/122 +[2025-03-11 06:57:19,951 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 91/122 +[2025-03-11 06:57:19,985 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 92/122 +[2025-03-11 06:57:20,016 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 93/122 +[2025-03-11 06:57:20,051 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 94/122 +[2025-03-11 06:57:20,085 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 95/122 +[2025-03-11 06:57:20,115 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 96/122 +[2025-03-11 06:57:20,146 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 97/122 +[2025-03-11 06:57:20,175 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 98/122 +[2025-03-11 06:57:20,205 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 99/122 +[2025-03-11 06:57:20,238 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 100/122 +[2025-03-11 06:57:20,269 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 101/122 +[2025-03-11 06:57:20,301 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 102/122 +[2025-03-11 06:57:20,332 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 103/122 +[2025-03-11 06:57:20,362 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 104/122 +[2025-03-11 06:57:20,396 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 105/122 +[2025-03-11 06:57:20,437 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 106/122 +[2025-03-11 06:57:20,472 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 107/122 +[2025-03-11 06:57:20,500 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 108/122 +[2025-03-11 06:57:20,533 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 109/122 +[2025-03-11 06:57:20,561 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 110/122 +[2025-03-11 06:57:20,600 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 111/122 +[2025-03-11 06:57:20,626 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 112/122 +[2025-03-11 06:57:20,659 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 113/122 +[2025-03-11 06:57:20,699 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 114/122 +[2025-03-11 06:57:20,746 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 115/122 +[2025-03-11 06:57:20,779 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 116/122 +[2025-03-11 06:57:20,802 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 117/122 +[2025-03-11 06:57:20,826 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 118/122 +[2025-03-11 06:57:20,850 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 119/122 +[2025-03-11 06:57:20,887 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 120/122 +[2025-03-11 06:57:20,922 INFO test.py line 201 2389709] Test: 16/78-scene0342_00, Batch: 121/122 +[2025-03-11 06:57:21,016 INFO test.py line 291 2389709] Test: scene0342_00 [16/78]-89958 Batch 3.805 (4.199) Accuracy 0.9896 (0.2801) mIoU 0.7307 (0.2395) +[2025-03-11 06:57:21,105 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 0/152 +[2025-03-11 06:57:21,142 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 1/152 +[2025-03-11 06:57:21,179 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 2/152 +[2025-03-11 06:57:21,215 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 3/152 +[2025-03-11 06:57:21,252 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 4/152 +[2025-03-11 06:57:21,288 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 5/152 +[2025-03-11 06:57:21,325 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 6/152 +[2025-03-11 06:57:21,361 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 7/152 +[2025-03-11 06:57:21,397 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 8/152 +[2025-03-11 06:57:21,433 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 9/152 +[2025-03-11 06:57:21,474 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 10/152 +[2025-03-11 06:57:21,512 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 11/152 +[2025-03-11 06:57:21,548 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 12/152 +[2025-03-11 06:57:21,584 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 13/152 +[2025-03-11 06:57:21,620 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 14/152 +[2025-03-11 06:57:21,656 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 15/152 +[2025-03-11 06:57:21,692 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 16/152 +[2025-03-11 06:57:21,730 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 17/152 +[2025-03-11 06:57:21,767 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 18/152 +[2025-03-11 06:57:21,804 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 19/152 +[2025-03-11 06:57:21,840 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 20/152 +[2025-03-11 06:57:21,877 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 21/152 +[2025-03-11 06:57:21,913 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 22/152 +[2025-03-11 06:57:21,949 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 23/152 +[2025-03-11 06:57:21,986 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 24/152 +[2025-03-11 06:57:22,023 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 25/152 +[2025-03-11 06:57:22,061 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 26/152 +[2025-03-11 06:57:22,098 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 27/152 +[2025-03-11 06:57:22,134 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 28/152 +[2025-03-11 06:57:22,170 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 29/152 +[2025-03-11 06:57:22,206 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 30/152 +[2025-03-11 06:57:22,243 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 31/152 +[2025-03-11 06:57:22,281 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 32/152 +[2025-03-11 06:57:22,319 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 33/152 +[2025-03-11 06:57:22,387 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 34/152 +[2025-03-11 06:57:22,434 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 35/152 +[2025-03-11 06:57:22,478 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 36/152 +[2025-03-11 06:57:22,517 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 37/152 +[2025-03-11 06:57:22,554 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 38/152 +[2025-03-11 06:57:22,590 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 39/152 +[2025-03-11 06:57:22,626 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 40/152 +[2025-03-11 06:57:22,663 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 41/152 +[2025-03-11 06:57:22,700 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 42/152 +[2025-03-11 06:57:22,736 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 43/152 +[2025-03-11 06:57:22,773 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 44/152 +[2025-03-11 06:57:22,810 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 45/152 +[2025-03-11 06:57:22,847 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 46/152 +[2025-03-11 06:57:22,883 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 47/152 +[2025-03-11 06:57:22,919 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 48/152 +[2025-03-11 06:57:22,955 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 49/152 +[2025-03-11 06:57:22,991 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 50/152 +[2025-03-11 06:57:23,026 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 51/152 +[2025-03-11 06:57:23,063 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 52/152 +[2025-03-11 06:57:23,098 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 53/152 +[2025-03-11 06:57:23,133 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 54/152 +[2025-03-11 06:57:23,168 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 55/152 +[2025-03-11 06:57:23,204 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 56/152 +[2025-03-11 06:57:23,239 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 57/152 +[2025-03-11 06:57:23,274 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 58/152 +[2025-03-11 06:57:23,310 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 59/152 +[2025-03-11 06:57:23,346 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 60/152 +[2025-03-11 06:57:23,381 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 61/152 +[2025-03-11 06:57:23,416 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 62/152 +[2025-03-11 06:57:23,480 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 63/152 +[2025-03-11 06:57:23,517 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 64/152 +[2025-03-11 06:57:23,561 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 65/152 +[2025-03-11 06:57:23,597 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 66/152 +[2025-03-11 06:57:23,636 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 67/152 +[2025-03-11 06:57:23,670 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 68/152 +[2025-03-11 06:57:23,707 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 69/152 +[2025-03-11 06:57:23,742 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 70/152 +[2025-03-11 06:57:23,777 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 71/152 +[2025-03-11 06:57:23,812 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 72/152 +[2025-03-11 06:57:23,846 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 73/152 +[2025-03-11 06:57:23,881 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 74/152 +[2025-03-11 06:57:23,923 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 75/152 +[2025-03-11 06:57:23,958 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 76/152 +[2025-03-11 06:57:23,992 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 77/152 +[2025-03-11 06:57:24,027 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 78/152 +[2025-03-11 06:57:24,061 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 79/152 +[2025-03-11 06:57:24,096 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 80/152 +[2025-03-11 06:57:24,138 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 81/152 +[2025-03-11 06:57:24,172 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 82/152 +[2025-03-11 06:57:24,206 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 83/152 +[2025-03-11 06:57:24,239 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 84/152 +[2025-03-11 06:57:24,273 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 85/152 +[2025-03-11 06:57:24,307 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 86/152 +[2025-03-11 06:57:24,342 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 87/152 +[2025-03-11 06:57:24,377 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 88/152 +[2025-03-11 06:57:24,411 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 89/152 +[2025-03-11 06:57:24,446 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 90/152 +[2025-03-11 06:57:24,481 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 91/152 +[2025-03-11 06:57:24,515 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 92/152 +[2025-03-11 06:57:24,550 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 93/152 +[2025-03-11 06:57:24,585 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 94/152 +[2025-03-11 06:57:24,621 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 95/152 +[2025-03-11 06:57:24,658 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 96/152 +[2025-03-11 06:57:24,696 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 97/152 +[2025-03-11 06:57:24,734 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 98/152 +[2025-03-11 06:57:24,772 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 99/152 +[2025-03-11 06:57:24,810 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 100/152 +[2025-03-11 06:57:24,849 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 101/152 +[2025-03-11 06:57:24,886 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 102/152 +[2025-03-11 06:57:24,924 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 103/152 +[2025-03-11 06:57:24,961 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 104/152 +[2025-03-11 06:57:24,998 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 105/152 +[2025-03-11 06:57:25,035 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 106/152 +[2025-03-11 06:57:25,074 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 107/152 +[2025-03-11 06:57:25,112 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 108/152 +[2025-03-11 06:57:25,149 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 109/152 +[2025-03-11 06:57:25,188 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 110/152 +[2025-03-11 06:57:25,226 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 111/152 +[2025-03-11 06:57:25,277 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 112/152 +[2025-03-11 06:57:25,314 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 113/152 +[2025-03-11 06:57:25,352 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 114/152 +[2025-03-11 06:57:25,389 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 115/152 +[2025-03-11 06:57:25,426 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 116/152 +[2025-03-11 06:57:25,463 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 117/152 +[2025-03-11 06:57:25,501 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 118/152 +[2025-03-11 06:57:25,538 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 119/152 +[2025-03-11 06:57:25,576 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 120/152 +[2025-03-11 06:57:25,614 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 121/152 +[2025-03-11 06:57:25,651 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 122/152 +[2025-03-11 06:57:25,688 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 123/152 +[2025-03-11 06:57:25,725 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 124/152 +[2025-03-11 06:57:25,762 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 125/152 +[2025-03-11 06:57:25,800 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 126/152 +[2025-03-11 06:57:25,837 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 127/152 +[2025-03-11 06:57:25,874 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 128/152 +[2025-03-11 06:57:25,911 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 129/152 +[2025-03-11 06:57:25,948 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 130/152 +[2025-03-11 06:57:25,985 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 131/152 +[2025-03-11 06:57:26,022 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 132/152 +[2025-03-11 06:57:26,059 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 133/152 +[2025-03-11 06:57:26,098 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 134/152 +[2025-03-11 06:57:26,141 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 135/152 +[2025-03-11 06:57:26,183 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 136/152 +[2025-03-11 06:57:26,224 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 137/152 +[2025-03-11 06:57:26,264 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 138/152 +[2025-03-11 06:57:26,304 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 139/152 +[2025-03-11 06:57:26,351 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 140/152 +[2025-03-11 06:57:26,392 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 141/152 +[2025-03-11 06:57:26,433 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 142/152 +[2025-03-11 06:57:26,473 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 143/152 +[2025-03-11 06:57:26,513 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 144/152 +[2025-03-11 06:57:26,556 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 145/152 +[2025-03-11 06:57:26,596 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 146/152 +[2025-03-11 06:57:26,640 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 147/152 +[2025-03-11 06:57:26,687 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 148/152 +[2025-03-11 06:57:26,729 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 149/152 +[2025-03-11 06:57:26,770 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 150/152 +[2025-03-11 06:57:26,807 INFO test.py line 201 2389709] Test: 17/78-scene0618_00, Batch: 151/152 +[2025-03-11 06:57:27,068 INFO test.py line 291 2389709] Test: scene0618_00 [17/78]-232740 Batch 6.051 (4.308) Accuracy 0.8621 (0.2770) mIoU 0.2211 (0.2372) +[2025-03-11 06:57:27,141 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 0/139 +[2025-03-11 06:57:27,171 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 1/139 +[2025-03-11 06:57:27,202 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 2/139 +[2025-03-11 06:57:27,233 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 3/139 +[2025-03-11 06:57:27,264 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 4/139 +[2025-03-11 06:57:27,294 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 5/139 +[2025-03-11 06:57:27,325 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 6/139 +[2025-03-11 06:57:27,356 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 7/139 +[2025-03-11 06:57:27,387 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 8/139 +[2025-03-11 06:57:27,425 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 9/139 +[2025-03-11 06:57:27,457 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 10/139 +[2025-03-11 06:57:27,488 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 11/139 +[2025-03-11 06:57:27,518 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 12/139 +[2025-03-11 06:57:27,549 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 13/139 +[2025-03-11 06:57:27,579 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 14/139 +[2025-03-11 06:57:27,610 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 15/139 +[2025-03-11 06:57:27,650 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 16/139 +[2025-03-11 06:57:27,681 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 17/139 +[2025-03-11 06:57:27,711 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 18/139 +[2025-03-11 06:57:27,741 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 19/139 +[2025-03-11 06:57:27,784 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 20/139 +[2025-03-11 06:57:27,819 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 21/139 +[2025-03-11 06:57:27,850 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 22/139 +[2025-03-11 06:57:27,881 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 23/139 +[2025-03-11 06:57:27,911 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 24/139 +[2025-03-11 06:57:27,953 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 25/139 +[2025-03-11 06:57:27,984 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 26/139 +[2025-03-11 06:57:28,016 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 27/139 +[2025-03-11 06:57:28,047 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 28/139 +[2025-03-11 06:57:28,083 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 29/139 +[2025-03-11 06:57:28,117 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 30/139 +[2025-03-11 06:57:28,147 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 31/139 +[2025-03-11 06:57:28,177 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 32/139 +[2025-03-11 06:57:28,224 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 33/139 +[2025-03-11 06:57:28,267 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 34/139 +[2025-03-11 06:57:28,308 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 35/139 +[2025-03-11 06:57:28,337 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 36/139 +[2025-03-11 06:57:28,368 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 37/139 +[2025-03-11 06:57:28,397 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 38/139 +[2025-03-11 06:57:28,427 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 39/139 +[2025-03-11 06:57:28,470 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 40/139 +[2025-03-11 06:57:28,513 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 41/139 +[2025-03-11 06:57:28,552 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 42/139 +[2025-03-11 06:57:28,581 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 43/139 +[2025-03-11 06:57:28,610 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 44/139 +[2025-03-11 06:57:28,642 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 45/139 +[2025-03-11 06:57:28,671 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 46/139 +[2025-03-11 06:57:28,700 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 47/139 +[2025-03-11 06:57:28,743 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 48/139 +[2025-03-11 06:57:28,802 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 49/139 +[2025-03-11 06:57:28,847 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 50/139 +[2025-03-11 06:57:28,885 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 51/139 +[2025-03-11 06:57:28,927 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 52/139 +[2025-03-11 06:57:28,980 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 53/139 +[2025-03-11 06:57:29,048 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 54/139 +[2025-03-11 06:57:29,102 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 55/139 +[2025-03-11 06:57:29,158 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 56/139 +[2025-03-11 06:57:29,211 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 57/139 +[2025-03-11 06:57:29,249 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 58/139 +[2025-03-11 06:57:29,290 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 59/139 +[2025-03-11 06:57:29,345 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 60/139 +[2025-03-11 06:57:29,401 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 61/139 +[2025-03-11 06:57:29,459 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 62/139 +[2025-03-11 06:57:29,491 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 63/139 +[2025-03-11 06:57:29,524 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 64/139 +[2025-03-11 06:57:29,559 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 65/139 +[2025-03-11 06:57:29,592 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 66/139 +[2025-03-11 06:57:29,625 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 67/139 +[2025-03-11 06:57:29,657 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 68/139 +[2025-03-11 06:57:29,689 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 69/139 +[2025-03-11 06:57:29,721 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 70/139 +[2025-03-11 06:57:29,750 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 71/139 +[2025-03-11 06:57:29,780 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 72/139 +[2025-03-11 06:57:29,834 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 73/139 +[2025-03-11 06:57:29,869 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 74/139 +[2025-03-11 06:57:29,899 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 75/139 +[2025-03-11 06:57:29,928 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 76/139 +[2025-03-11 06:57:29,959 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 77/139 +[2025-03-11 06:57:29,989 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 78/139 +[2025-03-11 06:57:30,021 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 79/139 +[2025-03-11 06:57:30,054 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 80/139 +[2025-03-11 06:57:30,108 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 81/139 +[2025-03-11 06:57:30,153 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 82/139 +[2025-03-11 06:57:30,184 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 83/139 +[2025-03-11 06:57:30,241 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 84/139 +[2025-03-11 06:57:30,273 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 85/139 +[2025-03-11 06:57:30,304 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 86/139 +[2025-03-11 06:57:30,335 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 87/139 +[2025-03-11 06:57:30,366 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 88/139 +[2025-03-11 06:57:30,397 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 89/139 +[2025-03-11 06:57:30,428 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 90/139 +[2025-03-11 06:57:30,459 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 91/139 +[2025-03-11 06:57:30,495 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 92/139 +[2025-03-11 06:57:30,552 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 93/139 +[2025-03-11 06:57:30,587 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 94/139 +[2025-03-11 06:57:30,625 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 95/139 +[2025-03-11 06:57:30,659 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 96/139 +[2025-03-11 06:57:30,713 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 97/139 +[2025-03-11 06:57:30,746 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 98/139 +[2025-03-11 06:57:30,809 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 99/139 +[2025-03-11 06:57:30,842 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 100/139 +[2025-03-11 06:57:30,875 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 101/139 +[2025-03-11 06:57:30,909 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 102/139 +[2025-03-11 06:57:30,943 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 103/139 +[2025-03-11 06:57:30,977 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 104/139 +[2025-03-11 06:57:31,021 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 105/139 +[2025-03-11 06:57:31,056 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 106/139 +[2025-03-11 06:57:31,108 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 107/139 +[2025-03-11 06:57:31,175 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 108/139 +[2025-03-11 06:57:31,212 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 109/139 +[2025-03-11 06:57:31,273 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 110/139 +[2025-03-11 06:57:31,306 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 111/139 +[2025-03-11 06:57:31,339 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 112/139 +[2025-03-11 06:57:31,371 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 113/139 +[2025-03-11 06:57:31,405 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 114/139 +[2025-03-11 06:57:31,468 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 115/139 +[2025-03-11 06:57:31,500 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 116/139 +[2025-03-11 06:57:31,532 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 117/139 +[2025-03-11 06:57:31,564 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 118/139 +[2025-03-11 06:57:31,596 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 119/139 +[2025-03-11 06:57:31,628 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 120/139 +[2025-03-11 06:57:31,661 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 121/139 +[2025-03-11 06:57:31,719 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 122/139 +[2025-03-11 06:57:31,758 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 123/139 +[2025-03-11 06:57:31,791 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 124/139 +[2025-03-11 06:57:31,829 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 125/139 +[2025-03-11 06:57:31,860 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 126/139 +[2025-03-11 06:57:31,892 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 127/139 +[2025-03-11 06:57:31,924 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 128/139 +[2025-03-11 06:57:31,955 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 129/139 +[2025-03-11 06:57:31,997 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 130/139 +[2025-03-11 06:57:32,029 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 131/139 +[2025-03-11 06:57:32,060 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 132/139 +[2025-03-11 06:57:32,093 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 133/139 +[2025-03-11 06:57:32,124 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 134/139 +[2025-03-11 06:57:32,158 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 135/139 +[2025-03-11 06:57:32,192 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 136/139 +[2025-03-11 06:57:32,239 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 137/139 +[2025-03-11 06:57:32,270 INFO test.py line 201 2389709] Test: 18/78-scene0695_02, Batch: 138/139 +[2025-03-11 06:57:32,448 INFO test.py line 291 2389709] Test: scene0695_02 [18/78]-157025 Batch 5.380 (4.368) Accuracy 0.7706 (0.2736) mIoU 0.2605 (0.2335) +[2025-03-11 06:57:32,569 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 0/156 +[2025-03-11 06:57:32,613 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 1/156 +[2025-03-11 06:57:32,658 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 2/156 +[2025-03-11 06:57:32,720 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 3/156 +[2025-03-11 06:57:32,765 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 4/156 +[2025-03-11 06:57:32,809 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 5/156 +[2025-03-11 06:57:32,858 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 6/156 +[2025-03-11 06:57:32,907 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 7/156 +[2025-03-11 06:57:32,947 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 8/156 +[2025-03-11 06:57:32,987 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 9/156 +[2025-03-11 06:57:33,027 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 10/156 +[2025-03-11 06:57:33,066 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 11/156 +[2025-03-11 06:57:33,107 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 12/156 +[2025-03-11 06:57:33,147 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 13/156 +[2025-03-11 06:57:33,186 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 14/156 +[2025-03-11 06:57:33,227 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 15/156 +[2025-03-11 06:57:33,273 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 16/156 +[2025-03-11 06:57:33,314 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 17/156 +[2025-03-11 06:57:33,363 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 18/156 +[2025-03-11 06:57:33,403 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 19/156 +[2025-03-11 06:57:33,445 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 20/156 +[2025-03-11 06:57:33,489 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 21/156 +[2025-03-11 06:57:33,530 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 22/156 +[2025-03-11 06:57:33,569 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 23/156 +[2025-03-11 06:57:33,609 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 24/156 +[2025-03-11 06:57:33,648 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 25/156 +[2025-03-11 06:57:33,688 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 26/156 +[2025-03-11 06:57:33,728 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 27/156 +[2025-03-11 06:57:33,793 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 28/156 +[2025-03-11 06:57:33,834 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 29/156 +[2025-03-11 06:57:33,873 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 30/156 +[2025-03-11 06:57:33,914 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 31/156 +[2025-03-11 06:57:33,959 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 32/156 +[2025-03-11 06:57:33,999 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 33/156 +[2025-03-11 06:57:34,039 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 34/156 +[2025-03-11 06:57:34,079 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 35/156 +[2025-03-11 06:57:34,120 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 36/156 +[2025-03-11 06:57:34,165 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 37/156 +[2025-03-11 06:57:34,206 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 38/156 +[2025-03-11 06:57:34,247 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 39/156 +[2025-03-11 06:57:34,289 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 40/156 +[2025-03-11 06:57:34,329 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 41/156 +[2025-03-11 06:57:34,368 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 42/156 +[2025-03-11 06:57:34,408 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 43/156 +[2025-03-11 06:57:34,449 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 44/156 +[2025-03-11 06:57:34,489 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 45/156 +[2025-03-11 06:57:34,529 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 46/156 +[2025-03-11 06:57:34,568 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 47/156 +[2025-03-11 06:57:34,606 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 48/156 +[2025-03-11 06:57:34,645 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 49/156 +[2025-03-11 06:57:34,689 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 50/156 +[2025-03-11 06:57:34,727 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 51/156 +[2025-03-11 06:57:34,764 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 52/156 +[2025-03-11 06:57:34,802 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 53/156 +[2025-03-11 06:57:34,841 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 54/156 +[2025-03-11 06:57:34,879 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 55/156 +[2025-03-11 06:57:34,917 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 56/156 +[2025-03-11 06:57:34,957 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 57/156 +[2025-03-11 06:57:34,994 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 58/156 +[2025-03-11 06:57:35,031 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 59/156 +[2025-03-11 06:57:35,068 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 60/156 +[2025-03-11 06:57:35,105 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 61/156 +[2025-03-11 06:57:35,142 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 62/156 +[2025-03-11 06:57:35,179 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 63/156 +[2025-03-11 06:57:35,217 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 64/156 +[2025-03-11 06:57:35,255 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 65/156 +[2025-03-11 06:57:35,292 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 66/156 +[2025-03-11 06:57:35,331 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 67/156 +[2025-03-11 06:57:35,369 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 68/156 +[2025-03-11 06:57:35,409 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 69/156 +[2025-03-11 06:57:35,451 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 70/156 +[2025-03-11 06:57:35,488 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 71/156 +[2025-03-11 06:57:35,525 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 72/156 +[2025-03-11 06:57:35,562 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 73/156 +[2025-03-11 06:57:35,600 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 74/156 +[2025-03-11 06:57:35,639 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 75/156 +[2025-03-11 06:57:35,679 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 76/156 +[2025-03-11 06:57:35,734 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 77/156 +[2025-03-11 06:57:35,785 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 78/156 +[2025-03-11 06:57:35,836 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 79/156 +[2025-03-11 06:57:35,893 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 80/156 +[2025-03-11 06:57:35,949 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 81/156 +[2025-03-11 06:57:35,999 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 82/156 +[2025-03-11 06:57:36,042 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 83/156 +[2025-03-11 06:57:36,087 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 84/156 +[2025-03-11 06:57:36,148 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 85/156 +[2025-03-11 06:57:36,195 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 86/156 +[2025-03-11 06:57:36,236 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 87/156 +[2025-03-11 06:57:36,282 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 88/156 +[2025-03-11 06:57:36,324 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 89/156 +[2025-03-11 06:57:36,365 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 90/156 +[2025-03-11 06:57:36,402 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 91/156 +[2025-03-11 06:57:36,440 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 92/156 +[2025-03-11 06:57:36,485 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 93/156 +[2025-03-11 06:57:36,532 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 94/156 +[2025-03-11 06:57:36,604 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 95/156 +[2025-03-11 06:57:36,646 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 96/156 +[2025-03-11 06:57:36,683 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 97/156 +[2025-03-11 06:57:36,729 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 98/156 +[2025-03-11 06:57:36,768 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 99/156 +[2025-03-11 06:57:36,808 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 100/156 +[2025-03-11 06:57:36,849 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 101/156 +[2025-03-11 06:57:36,890 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 102/156 +[2025-03-11 06:57:36,940 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 103/156 +[2025-03-11 06:57:36,981 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 104/156 +[2025-03-11 06:57:37,025 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 105/156 +[2025-03-11 06:57:37,065 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 106/156 +[2025-03-11 06:57:37,107 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 107/156 +[2025-03-11 06:57:37,148 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 108/156 +[2025-03-11 06:57:37,189 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 109/156 +[2025-03-11 06:57:37,230 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 110/156 +[2025-03-11 06:57:37,272 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 111/156 +[2025-03-11 06:57:37,312 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 112/156 +[2025-03-11 06:57:37,352 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 113/156 +[2025-03-11 06:57:37,392 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 114/156 +[2025-03-11 06:57:37,432 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 115/156 +[2025-03-11 06:57:37,473 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 116/156 +[2025-03-11 06:57:37,520 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 117/156 +[2025-03-11 06:57:37,561 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 118/156 +[2025-03-11 06:57:37,613 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 119/156 +[2025-03-11 06:57:37,658 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 120/156 +[2025-03-11 06:57:37,699 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 121/156 +[2025-03-11 06:57:37,747 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 122/156 +[2025-03-11 06:57:37,792 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 123/156 +[2025-03-11 06:57:37,832 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 124/156 +[2025-03-11 06:57:37,881 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 125/156 +[2025-03-11 06:57:37,920 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 126/156 +[2025-03-11 06:57:37,963 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 127/156 +[2025-03-11 06:57:38,005 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 128/156 +[2025-03-11 06:57:38,046 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 129/156 +[2025-03-11 06:57:38,086 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 130/156 +[2025-03-11 06:57:38,127 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 131/156 +[2025-03-11 06:57:38,167 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 132/156 +[2025-03-11 06:57:38,208 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 133/156 +[2025-03-11 06:57:38,249 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 134/156 +[2025-03-11 06:57:38,290 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 135/156 +[2025-03-11 06:57:38,331 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 136/156 +[2025-03-11 06:57:38,389 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 137/156 +[2025-03-11 06:57:38,428 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 138/156 +[2025-03-11 06:57:38,468 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 139/156 +[2025-03-11 06:57:38,508 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 140/156 +[2025-03-11 06:57:38,548 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 141/156 +[2025-03-11 06:57:38,587 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 142/156 +[2025-03-11 06:57:38,628 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 143/156 +[2025-03-11 06:57:38,666 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 144/156 +[2025-03-11 06:57:38,704 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 145/156 +[2025-03-11 06:57:38,743 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 146/156 +[2025-03-11 06:57:38,782 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 147/156 +[2025-03-11 06:57:38,821 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 148/156 +[2025-03-11 06:57:38,861 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 149/156 +[2025-03-11 06:57:38,900 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 150/156 +[2025-03-11 06:57:38,939 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 151/156 +[2025-03-11 06:57:38,979 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 152/156 +[2025-03-11 06:57:39,035 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 153/156 +[2025-03-11 06:57:39,074 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 154/156 +[2025-03-11 06:57:39,119 INFO test.py line 201 2389709] Test: 19/78-scene0629_00, Batch: 155/156 +[2025-03-11 06:57:39,417 INFO test.py line 291 2389709] Test: scene0629_00 [19/78]-255083 Batch 6.968 (4.505) Accuracy 0.7191 (0.2771) mIoU 0.1549 (0.2316) +[2025-03-11 06:57:39,476 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 0/125 +[2025-03-11 06:57:39,505 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 1/125 +[2025-03-11 06:57:39,531 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 2/125 +[2025-03-11 06:57:39,558 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 3/125 +[2025-03-11 06:57:39,585 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 4/125 +[2025-03-11 06:57:39,612 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 5/125 +[2025-03-11 06:57:39,639 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 6/125 +[2025-03-11 06:57:39,667 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 7/125 +[2025-03-11 06:57:39,695 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 8/125 +[2025-03-11 06:57:39,722 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 9/125 +[2025-03-11 06:57:39,750 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 10/125 +[2025-03-11 06:57:39,777 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 11/125 +[2025-03-11 06:57:39,804 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 12/125 +[2025-03-11 06:57:39,829 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 13/125 +[2025-03-11 06:57:39,854 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 14/125 +[2025-03-11 06:57:39,884 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 15/125 +[2025-03-11 06:57:39,910 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 16/125 +[2025-03-11 06:57:39,936 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 17/125 +[2025-03-11 06:57:39,962 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 18/125 +[2025-03-11 06:57:39,987 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 19/125 +[2025-03-11 06:57:40,014 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 20/125 +[2025-03-11 06:57:40,040 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 21/125 +[2025-03-11 06:57:40,094 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 22/125 +[2025-03-11 06:57:40,121 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 23/125 +[2025-03-11 06:57:40,146 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 24/125 +[2025-03-11 06:57:40,197 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 25/125 +[2025-03-11 06:57:40,223 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 26/125 +[2025-03-11 06:57:40,248 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 27/125 +[2025-03-11 06:57:40,279 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 28/125 +[2025-03-11 06:57:40,323 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 29/125 +[2025-03-11 06:57:40,348 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 30/125 +[2025-03-11 06:57:40,375 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 31/125 +[2025-03-11 06:57:40,401 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 32/125 +[2025-03-11 06:57:40,429 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 33/125 +[2025-03-11 06:57:40,456 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 34/125 +[2025-03-11 06:57:40,491 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 35/125 +[2025-03-11 06:57:40,517 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 36/125 +[2025-03-11 06:57:40,542 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 37/125 +[2025-03-11 06:57:40,567 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 38/125 +[2025-03-11 06:57:40,592 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 39/125 +[2025-03-11 06:57:40,623 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 40/125 +[2025-03-11 06:57:40,648 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 41/125 +[2025-03-11 06:57:40,675 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 42/125 +[2025-03-11 06:57:40,700 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 43/125 +[2025-03-11 06:57:40,725 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 44/125 +[2025-03-11 06:57:40,750 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 45/125 +[2025-03-11 06:57:40,774 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 46/125 +[2025-03-11 06:57:40,801 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 47/125 +[2025-03-11 06:57:40,827 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 48/125 +[2025-03-11 06:57:40,853 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 49/125 +[2025-03-11 06:57:40,878 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 50/125 +[2025-03-11 06:57:40,903 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 51/125 +[2025-03-11 06:57:40,929 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 52/125 +[2025-03-11 06:57:40,958 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 53/125 +[2025-03-11 06:57:40,985 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 54/125 +[2025-03-11 06:57:41,010 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 55/125 +[2025-03-11 06:57:41,035 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 56/125 +[2025-03-11 06:57:41,060 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 57/125 +[2025-03-11 06:57:41,085 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 58/125 +[2025-03-11 06:57:41,110 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 59/125 +[2025-03-11 06:57:41,135 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 60/125 +[2025-03-11 06:57:41,160 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 61/125 +[2025-03-11 06:57:41,186 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 62/125 +[2025-03-11 06:57:41,211 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 63/125 +[2025-03-11 06:57:41,237 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 64/125 +[2025-03-11 06:57:41,262 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 65/125 +[2025-03-11 06:57:41,288 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 66/125 +[2025-03-11 06:57:41,312 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 67/125 +[2025-03-11 06:57:41,341 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 68/125 +[2025-03-11 06:57:41,369 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 69/125 +[2025-03-11 06:57:41,395 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 70/125 +[2025-03-11 06:57:41,420 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 71/125 +[2025-03-11 06:57:41,445 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 72/125 +[2025-03-11 06:57:41,471 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 73/125 +[2025-03-11 06:57:41,498 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 74/125 +[2025-03-11 06:57:41,525 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 75/125 +[2025-03-11 06:57:41,551 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 76/125 +[2025-03-11 06:57:41,578 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 77/125 +[2025-03-11 06:57:41,603 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 78/125 +[2025-03-11 06:57:41,629 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 79/125 +[2025-03-11 06:57:41,657 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 80/125 +[2025-03-11 06:57:41,684 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 81/125 +[2025-03-11 06:57:41,710 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 82/125 +[2025-03-11 06:57:41,736 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 83/125 +[2025-03-11 06:57:41,763 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 84/125 +[2025-03-11 06:57:41,803 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 85/125 +[2025-03-11 06:57:41,845 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 86/125 +[2025-03-11 06:57:41,877 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 87/125 +[2025-03-11 06:57:41,904 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 88/125 +[2025-03-11 06:57:41,930 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 89/125 +[2025-03-11 06:57:41,956 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 90/125 +[2025-03-11 06:57:41,988 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 91/125 +[2025-03-11 06:57:42,014 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 92/125 +[2025-03-11 06:57:42,040 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 93/125 +[2025-03-11 06:57:42,065 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 94/125 +[2025-03-11 06:57:42,090 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 95/125 +[2025-03-11 06:57:42,116 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 96/125 +[2025-03-11 06:57:42,147 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 97/125 +[2025-03-11 06:57:42,174 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 98/125 +[2025-03-11 06:57:42,203 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 99/125 +[2025-03-11 06:57:42,228 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 100/125 +[2025-03-11 06:57:42,255 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 101/125 +[2025-03-11 06:57:42,282 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 102/125 +[2025-03-11 06:57:42,309 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 103/125 +[2025-03-11 06:57:42,336 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 104/125 +[2025-03-11 06:57:42,370 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 105/125 +[2025-03-11 06:57:42,397 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 106/125 +[2025-03-11 06:57:42,424 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 107/125 +[2025-03-11 06:57:42,450 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 108/125 +[2025-03-11 06:57:42,476 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 109/125 +[2025-03-11 06:57:42,501 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 110/125 +[2025-03-11 06:57:42,528 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 111/125 +[2025-03-11 06:57:42,554 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 112/125 +[2025-03-11 06:57:42,595 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 113/125 +[2025-03-11 06:57:42,623 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 114/125 +[2025-03-11 06:57:42,651 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 115/125 +[2025-03-11 06:57:42,678 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 116/125 +[2025-03-11 06:57:42,704 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 117/125 +[2025-03-11 06:57:42,730 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 118/125 +[2025-03-11 06:57:42,756 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 119/125 +[2025-03-11 06:57:42,782 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 120/125 +[2025-03-11 06:57:42,810 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 121/125 +[2025-03-11 06:57:42,837 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 122/125 +[2025-03-11 06:57:42,864 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 123/125 +[2025-03-11 06:57:42,891 INFO test.py line 201 2389709] Test: 20/78-scene0609_01, Batch: 124/125 +[2025-03-11 06:57:43,032 INFO test.py line 291 2389709] Test: scene0609_01 [20/78]-115550 Batch 3.615 (4.460) Accuracy 0.8388 (0.2772) mIoU 0.4140 (0.2303) +[2025-03-11 06:57:43,123 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 0/130 +[2025-03-11 06:57:43,157 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 1/130 +[2025-03-11 06:57:43,196 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 2/130 +[2025-03-11 06:57:43,230 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 3/130 +[2025-03-11 06:57:43,269 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 4/130 +[2025-03-11 06:57:43,308 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 5/130 +[2025-03-11 06:57:43,351 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 6/130 +[2025-03-11 06:57:43,419 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 7/130 +[2025-03-11 06:57:43,473 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 8/130 +[2025-03-11 06:57:43,513 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 9/130 +[2025-03-11 06:57:43,550 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 10/130 +[2025-03-11 06:57:43,589 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 11/130 +[2025-03-11 06:57:43,629 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 12/130 +[2025-03-11 06:57:43,673 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 13/130 +[2025-03-11 06:57:43,736 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 14/130 +[2025-03-11 06:57:43,777 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 15/130 +[2025-03-11 06:57:43,812 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 16/130 +[2025-03-11 06:57:43,846 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 17/130 +[2025-03-11 06:57:43,881 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 18/130 +[2025-03-11 06:57:43,916 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 19/130 +[2025-03-11 06:57:43,952 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 20/130 +[2025-03-11 06:57:43,987 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 21/130 +[2025-03-11 06:57:44,026 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 22/130 +[2025-03-11 06:57:44,078 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 23/130 +[2025-03-11 06:57:44,118 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 24/130 +[2025-03-11 06:57:44,159 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 25/130 +[2025-03-11 06:57:44,210 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 26/130 +[2025-03-11 06:57:44,246 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 27/130 +[2025-03-11 06:57:44,281 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 28/130 +[2025-03-11 06:57:44,316 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 29/130 +[2025-03-11 06:57:44,350 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 30/130 +[2025-03-11 06:57:44,400 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 31/130 +[2025-03-11 06:57:44,436 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 32/130 +[2025-03-11 06:57:44,471 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 33/130 +[2025-03-11 06:57:44,506 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 34/130 +[2025-03-11 06:57:44,542 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 35/130 +[2025-03-11 06:57:44,577 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 36/130 +[2025-03-11 06:57:44,612 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 37/130 +[2025-03-11 06:57:44,647 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 38/130 +[2025-03-11 06:57:44,683 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 39/130 +[2025-03-11 06:57:44,716 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 40/130 +[2025-03-11 06:57:44,750 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 41/130 +[2025-03-11 06:57:44,784 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 42/130 +[2025-03-11 06:57:44,818 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 43/130 +[2025-03-11 06:57:44,851 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 44/130 +[2025-03-11 06:57:44,913 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 45/130 +[2025-03-11 06:57:44,951 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 46/130 +[2025-03-11 06:57:44,989 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 47/130 +[2025-03-11 06:57:45,031 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 48/130 +[2025-03-11 06:57:45,070 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 49/130 +[2025-03-11 06:57:45,107 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 50/130 +[2025-03-11 06:57:45,159 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 51/130 +[2025-03-11 06:57:45,199 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 52/130 +[2025-03-11 06:57:45,239 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 53/130 +[2025-03-11 06:57:45,299 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 54/130 +[2025-03-11 06:57:45,333 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 55/130 +[2025-03-11 06:57:45,367 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 56/130 +[2025-03-11 06:57:45,401 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 57/130 +[2025-03-11 06:57:45,435 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 58/130 +[2025-03-11 06:57:45,469 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 59/130 +[2025-03-11 06:57:45,504 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 60/130 +[2025-03-11 06:57:45,543 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 61/130 +[2025-03-11 06:57:45,577 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 62/130 +[2025-03-11 06:57:45,610 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 63/130 +[2025-03-11 06:57:45,643 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 64/130 +[2025-03-11 06:57:45,676 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 65/130 +[2025-03-11 06:57:45,711 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 66/130 +[2025-03-11 06:57:45,745 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 67/130 +[2025-03-11 06:57:45,780 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 68/130 +[2025-03-11 06:57:45,814 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 69/130 +[2025-03-11 06:57:45,855 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 70/130 +[2025-03-11 06:57:45,889 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 71/130 +[2025-03-11 06:57:45,923 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 72/130 +[2025-03-11 06:57:45,958 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 73/130 +[2025-03-11 06:57:45,994 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 74/130 +[2025-03-11 06:57:46,027 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 75/130 +[2025-03-11 06:57:46,060 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 76/130 +[2025-03-11 06:57:46,093 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 77/130 +[2025-03-11 06:57:46,127 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 78/130 +[2025-03-11 06:57:46,172 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 79/130 +[2025-03-11 06:57:46,210 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 80/130 +[2025-03-11 06:57:46,244 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 81/130 +[2025-03-11 06:57:46,279 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 82/130 +[2025-03-11 06:57:46,314 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 83/130 +[2025-03-11 06:57:46,351 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 84/130 +[2025-03-11 06:57:46,403 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 85/130 +[2025-03-11 06:57:46,440 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 86/130 +[2025-03-11 06:57:46,488 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 87/130 +[2025-03-11 06:57:46,524 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 88/130 +[2025-03-11 06:57:46,561 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 89/130 +[2025-03-11 06:57:46,596 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 90/130 +[2025-03-11 06:57:46,632 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 91/130 +[2025-03-11 06:57:46,670 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 92/130 +[2025-03-11 06:57:46,716 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 93/130 +[2025-03-11 06:57:46,752 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 94/130 +[2025-03-11 06:57:46,788 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 95/130 +[2025-03-11 06:57:46,825 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 96/130 +[2025-03-11 06:57:46,860 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 97/130 +[2025-03-11 06:57:46,915 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 98/130 +[2025-03-11 06:57:46,952 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 99/130 +[2025-03-11 06:57:46,993 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 100/130 +[2025-03-11 06:57:47,029 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 101/130 +[2025-03-11 06:57:47,066 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 102/130 +[2025-03-11 06:57:47,109 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 103/130 +[2025-03-11 06:57:47,148 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 104/130 +[2025-03-11 06:57:47,184 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 105/130 +[2025-03-11 06:57:47,219 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 106/130 +[2025-03-11 06:57:47,254 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 107/130 +[2025-03-11 06:57:47,289 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 108/130 +[2025-03-11 06:57:47,332 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 109/130 +[2025-03-11 06:57:47,377 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 110/130 +[2025-03-11 06:57:47,412 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 111/130 +[2025-03-11 06:57:47,448 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 112/130 +[2025-03-11 06:57:47,483 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 113/130 +[2025-03-11 06:57:47,519 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 114/130 +[2025-03-11 06:57:47,554 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 115/130 +[2025-03-11 06:57:47,590 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 116/130 +[2025-03-11 06:57:47,626 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 117/130 +[2025-03-11 06:57:47,660 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 118/130 +[2025-03-11 06:57:47,696 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 119/130 +[2025-03-11 06:57:47,730 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 120/130 +[2025-03-11 06:57:47,766 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 121/130 +[2025-03-11 06:57:47,802 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 122/130 +[2025-03-11 06:57:47,839 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 123/130 +[2025-03-11 06:57:47,875 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 124/130 +[2025-03-11 06:57:47,912 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 125/130 +[2025-03-11 06:57:47,950 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 126/130 +[2025-03-11 06:57:47,986 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 127/130 +[2025-03-11 06:57:48,029 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 128/130 +[2025-03-11 06:57:48,065 INFO test.py line 201 2389709] Test: 21/78-scene0430_00, Batch: 129/130 +[2025-03-11 06:57:48,302 INFO test.py line 291 2389709] Test: scene0430_00 [21/78]-210249 Batch 5.269 (4.499) Accuracy 0.9340 (0.2775) mIoU 0.5427 (0.2306) +[2025-03-11 06:57:48,420 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 0/125 +[2025-03-11 06:57:48,462 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 1/125 +[2025-03-11 06:57:48,504 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 2/125 +[2025-03-11 06:57:48,544 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 3/125 +[2025-03-11 06:57:48,586 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 4/125 +[2025-03-11 06:57:48,627 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 5/125 +[2025-03-11 06:57:48,669 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 6/125 +[2025-03-11 06:57:48,711 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 7/125 +[2025-03-11 06:57:48,752 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 8/125 +[2025-03-11 06:57:48,793 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 9/125 +[2025-03-11 06:57:48,833 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 10/125 +[2025-03-11 06:57:48,874 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 11/125 +[2025-03-11 06:57:48,916 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 12/125 +[2025-03-11 06:57:48,957 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 13/125 +[2025-03-11 06:57:49,023 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 14/125 +[2025-03-11 06:57:49,064 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 15/125 +[2025-03-11 06:57:49,131 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 16/125 +[2025-03-11 06:57:49,171 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 17/125 +[2025-03-11 06:57:49,216 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 18/125 +[2025-03-11 06:57:49,258 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 19/125 +[2025-03-11 06:57:49,309 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 20/125 +[2025-03-11 06:57:49,347 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 21/125 +[2025-03-11 06:57:49,388 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 22/125 +[2025-03-11 06:57:49,428 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 23/125 +[2025-03-11 06:57:49,469 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 24/125 +[2025-03-11 06:57:49,510 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 25/125 +[2025-03-11 06:57:49,562 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 26/125 +[2025-03-11 06:57:49,602 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 27/125 +[2025-03-11 06:57:49,643 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 28/125 +[2025-03-11 06:57:49,683 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 29/125 +[2025-03-11 06:57:49,734 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 30/125 +[2025-03-11 06:57:49,774 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 31/125 +[2025-03-11 06:57:49,815 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 32/125 +[2025-03-11 06:57:49,867 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 33/125 +[2025-03-11 06:57:49,907 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 34/125 +[2025-03-11 06:57:49,947 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 35/125 +[2025-03-11 06:57:49,983 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 36/125 +[2025-03-11 06:57:50,020 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 37/125 +[2025-03-11 06:57:50,056 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 38/125 +[2025-03-11 06:57:50,093 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 39/125 +[2025-03-11 06:57:50,130 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 40/125 +[2025-03-11 06:57:50,177 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 41/125 +[2025-03-11 06:57:50,223 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 42/125 +[2025-03-11 06:57:50,273 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 43/125 +[2025-03-11 06:57:50,314 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 44/125 +[2025-03-11 06:57:50,360 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 45/125 +[2025-03-11 06:57:50,403 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 46/125 +[2025-03-11 06:57:50,445 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 47/125 +[2025-03-11 06:57:50,485 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 48/125 +[2025-03-11 06:57:50,525 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 49/125 +[2025-03-11 06:57:50,572 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 50/125 +[2025-03-11 06:57:50,615 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 51/125 +[2025-03-11 06:57:50,656 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 52/125 +[2025-03-11 06:57:50,699 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 53/125 +[2025-03-11 06:57:50,736 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 54/125 +[2025-03-11 06:57:50,775 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 55/125 +[2025-03-11 06:57:50,813 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 56/125 +[2025-03-11 06:57:50,850 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 57/125 +[2025-03-11 06:57:50,920 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 58/125 +[2025-03-11 06:57:50,984 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 59/125 +[2025-03-11 06:57:51,028 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 60/125 +[2025-03-11 06:57:51,069 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 61/125 +[2025-03-11 06:57:51,107 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 62/125 +[2025-03-11 06:57:51,144 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 63/125 +[2025-03-11 06:57:51,182 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 64/125 +[2025-03-11 06:57:51,218 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 65/125 +[2025-03-11 06:57:51,255 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 66/125 +[2025-03-11 06:57:51,293 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 67/125 +[2025-03-11 06:57:51,330 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 68/125 +[2025-03-11 06:57:51,390 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 69/125 +[2025-03-11 06:57:51,427 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 70/125 +[2025-03-11 06:57:51,463 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 71/125 +[2025-03-11 06:57:51,499 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 72/125 +[2025-03-11 06:57:51,539 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 73/125 +[2025-03-11 06:57:51,578 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 74/125 +[2025-03-11 06:57:51,614 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 75/125 +[2025-03-11 06:57:51,651 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 76/125 +[2025-03-11 06:57:51,688 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 77/125 +[2025-03-11 06:57:51,726 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 78/125 +[2025-03-11 06:57:51,764 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 79/125 +[2025-03-11 06:57:51,803 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 80/125 +[2025-03-11 06:57:51,843 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 81/125 +[2025-03-11 06:57:51,902 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 82/125 +[2025-03-11 06:57:51,942 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 83/125 +[2025-03-11 06:57:51,982 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 84/125 +[2025-03-11 06:57:52,037 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 85/125 +[2025-03-11 06:57:52,076 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 86/125 +[2025-03-11 06:57:52,122 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 87/125 +[2025-03-11 06:57:52,162 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 88/125 +[2025-03-11 06:57:52,203 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 89/125 +[2025-03-11 06:57:52,243 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 90/125 +[2025-03-11 06:57:52,286 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 91/125 +[2025-03-11 06:57:52,326 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 92/125 +[2025-03-11 06:57:52,368 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 93/125 +[2025-03-11 06:57:52,409 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 94/125 +[2025-03-11 06:57:52,450 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 95/125 +[2025-03-11 06:57:52,490 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 96/125 +[2025-03-11 06:57:52,532 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 97/125 +[2025-03-11 06:57:52,573 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 98/125 +[2025-03-11 06:57:52,613 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 99/125 +[2025-03-11 06:57:52,652 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 100/125 +[2025-03-11 06:57:52,693 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 101/125 +[2025-03-11 06:57:52,733 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 102/125 +[2025-03-11 06:57:52,794 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 103/125 +[2025-03-11 06:57:52,839 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 104/125 +[2025-03-11 06:57:52,879 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 105/125 +[2025-03-11 06:57:52,919 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 106/125 +[2025-03-11 06:57:52,958 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 107/125 +[2025-03-11 06:57:52,998 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 108/125 +[2025-03-11 06:57:53,040 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 109/125 +[2025-03-11 06:57:53,097 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 110/125 +[2025-03-11 06:57:53,137 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 111/125 +[2025-03-11 06:57:53,175 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 112/125 +[2025-03-11 06:57:53,215 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 113/125 +[2025-03-11 06:57:53,254 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 114/125 +[2025-03-11 06:57:53,294 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 115/125 +[2025-03-11 06:57:53,333 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 116/125 +[2025-03-11 06:57:53,371 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 117/125 +[2025-03-11 06:57:53,410 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 118/125 +[2025-03-11 06:57:53,449 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 119/125 +[2025-03-11 06:57:53,488 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 120/125 +[2025-03-11 06:57:53,526 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 121/125 +[2025-03-11 06:57:53,593 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 122/125 +[2025-03-11 06:57:53,642 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 123/125 +[2025-03-11 06:57:53,681 INFO test.py line 201 2389709] Test: 22/78-scene0608_02, Batch: 124/125 +[2025-03-11 06:57:53,947 INFO test.py line 291 2389709] Test: scene0608_02 [22/78]-235030 Batch 5.645 (4.551) Accuracy 0.7401 (0.2877) mIoU 0.2161 (0.2407) +[2025-03-11 06:57:54,000 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 0/125 +[2025-03-11 06:57:54,031 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 1/125 +[2025-03-11 06:57:54,060 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 2/125 +[2025-03-11 06:57:54,102 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 3/125 +[2025-03-11 06:57:54,127 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 4/125 +[2025-03-11 06:57:54,159 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 5/125 +[2025-03-11 06:57:54,184 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 6/125 +[2025-03-11 06:57:54,210 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 7/125 +[2025-03-11 06:57:54,247 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 8/125 +[2025-03-11 06:57:54,274 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 9/125 +[2025-03-11 06:57:54,301 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 10/125 +[2025-03-11 06:57:54,326 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 11/125 +[2025-03-11 06:57:54,353 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 12/125 +[2025-03-11 06:57:54,385 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 13/125 +[2025-03-11 06:57:54,412 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 14/125 +[2025-03-11 06:57:54,447 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 15/125 +[2025-03-11 06:57:54,473 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 16/125 +[2025-03-11 06:57:54,503 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 17/125 +[2025-03-11 06:57:54,535 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 18/125 +[2025-03-11 06:57:54,566 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 19/125 +[2025-03-11 06:57:54,607 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 20/125 +[2025-03-11 06:57:54,633 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 21/125 +[2025-03-11 06:57:54,659 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 22/125 +[2025-03-11 06:57:54,685 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 23/125 +[2025-03-11 06:57:54,710 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 24/125 +[2025-03-11 06:57:54,741 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 25/125 +[2025-03-11 06:57:54,772 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 26/125 +[2025-03-11 06:57:54,802 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 27/125 +[2025-03-11 06:57:54,830 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 28/125 +[2025-03-11 06:57:54,856 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 29/125 +[2025-03-11 06:57:54,881 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 30/125 +[2025-03-11 06:57:54,907 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 31/125 +[2025-03-11 06:57:54,931 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 32/125 +[2025-03-11 06:57:54,957 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 33/125 +[2025-03-11 06:57:54,984 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 34/125 +[2025-03-11 06:57:55,010 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 35/125 +[2025-03-11 06:57:55,037 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 36/125 +[2025-03-11 06:57:55,063 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 37/125 +[2025-03-11 06:57:55,092 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 38/125 +[2025-03-11 06:57:55,117 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 39/125 +[2025-03-11 06:57:55,145 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 40/125 +[2025-03-11 06:57:55,170 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 41/125 +[2025-03-11 06:57:55,200 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 42/125 +[2025-03-11 06:57:55,232 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 43/125 +[2025-03-11 06:57:55,265 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 44/125 +[2025-03-11 06:57:55,299 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 45/125 +[2025-03-11 06:57:55,330 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 46/125 +[2025-03-11 06:57:55,360 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 47/125 +[2025-03-11 06:57:55,392 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 48/125 +[2025-03-11 06:57:55,429 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 49/125 +[2025-03-11 06:57:55,463 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 50/125 +[2025-03-11 06:57:55,496 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 51/125 +[2025-03-11 06:57:55,526 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 52/125 +[2025-03-11 06:57:55,557 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 53/125 +[2025-03-11 06:57:55,587 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 54/125 +[2025-03-11 06:57:55,618 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 55/125 +[2025-03-11 06:57:55,644 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 56/125 +[2025-03-11 06:57:55,670 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 57/125 +[2025-03-11 06:57:55,701 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 58/125 +[2025-03-11 06:57:55,728 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 59/125 +[2025-03-11 06:57:55,755 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 60/125 +[2025-03-11 06:57:55,782 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 61/125 +[2025-03-11 06:57:55,809 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 62/125 +[2025-03-11 06:57:55,836 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 63/125 +[2025-03-11 06:57:55,862 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 64/125 +[2025-03-11 06:57:55,889 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 65/125 +[2025-03-11 06:57:55,930 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 66/125 +[2025-03-11 06:57:55,955 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 67/125 +[2025-03-11 06:57:55,984 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 68/125 +[2025-03-11 06:57:56,011 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 69/125 +[2025-03-11 06:57:56,036 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 70/125 +[2025-03-11 06:57:56,062 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 71/125 +[2025-03-11 06:57:56,089 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 72/125 +[2025-03-11 06:57:56,115 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 73/125 +[2025-03-11 06:57:56,143 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 74/125 +[2025-03-11 06:57:56,169 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 75/125 +[2025-03-11 06:57:56,196 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 76/125 +[2025-03-11 06:57:56,223 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 77/125 +[2025-03-11 06:57:56,249 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 78/125 +[2025-03-11 06:57:56,276 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 79/125 +[2025-03-11 06:57:56,303 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 80/125 +[2025-03-11 06:57:56,332 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 81/125 +[2025-03-11 06:57:56,360 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 82/125 +[2025-03-11 06:57:56,390 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 83/125 +[2025-03-11 06:57:56,418 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 84/125 +[2025-03-11 06:57:56,446 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 85/125 +[2025-03-11 06:57:56,473 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 86/125 +[2025-03-11 06:57:56,501 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 87/125 +[2025-03-11 06:57:56,529 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 88/125 +[2025-03-11 06:57:56,556 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 89/125 +[2025-03-11 06:57:56,591 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 90/125 +[2025-03-11 06:57:56,619 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 91/125 +[2025-03-11 06:57:56,647 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 92/125 +[2025-03-11 06:57:56,674 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 93/125 +[2025-03-11 06:57:56,701 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 94/125 +[2025-03-11 06:57:56,729 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 95/125 +[2025-03-11 06:57:56,756 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 96/125 +[2025-03-11 06:57:56,784 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 97/125 +[2025-03-11 06:57:56,813 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 98/125 +[2025-03-11 06:57:56,842 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 99/125 +[2025-03-11 06:57:56,869 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 100/125 +[2025-03-11 06:57:56,896 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 101/125 +[2025-03-11 06:57:56,923 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 102/125 +[2025-03-11 06:57:56,951 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 103/125 +[2025-03-11 06:57:56,979 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 104/125 +[2025-03-11 06:57:57,006 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 105/125 +[2025-03-11 06:57:57,035 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 106/125 +[2025-03-11 06:57:57,062 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 107/125 +[2025-03-11 06:57:57,089 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 108/125 +[2025-03-11 06:57:57,116 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 109/125 +[2025-03-11 06:57:57,143 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 110/125 +[2025-03-11 06:57:57,172 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 111/125 +[2025-03-11 06:57:57,201 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 112/125 +[2025-03-11 06:57:57,227 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 113/125 +[2025-03-11 06:57:57,254 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 114/125 +[2025-03-11 06:57:57,285 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 115/125 +[2025-03-11 06:57:57,312 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 116/125 +[2025-03-11 06:57:57,338 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 117/125 +[2025-03-11 06:57:57,363 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 118/125 +[2025-03-11 06:57:57,393 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 119/125 +[2025-03-11 06:57:57,421 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 120/125 +[2025-03-11 06:57:57,447 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 121/125 +[2025-03-11 06:57:57,474 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 122/125 +[2025-03-11 06:57:57,500 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 123/125 +[2025-03-11 06:57:57,526 INFO test.py line 201 2389709] Test: 23/78-scene0144_01, Batch: 124/125 +[2025-03-11 06:57:57,663 INFO test.py line 291 2389709] Test: scene0144_01 [23/78]-116341 Batch 3.715 (4.514) Accuracy 0.8371 (0.2901) mIoU 0.3034 (0.2430) +[2025-03-11 06:57:57,716 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 0/145 +[2025-03-11 06:57:57,741 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 1/145 +[2025-03-11 06:57:57,766 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 2/145 +[2025-03-11 06:57:57,791 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 3/145 +[2025-03-11 06:57:57,816 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 4/145 +[2025-03-11 06:57:57,841 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 5/145 +[2025-03-11 06:57:57,866 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 6/145 +[2025-03-11 06:57:57,892 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 7/145 +[2025-03-11 06:57:57,916 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 8/145 +[2025-03-11 06:57:57,941 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 9/145 +[2025-03-11 06:57:57,966 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 10/145 +[2025-03-11 06:57:57,991 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 11/145 +[2025-03-11 06:57:58,016 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 12/145 +[2025-03-11 06:57:58,041 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 13/145 +[2025-03-11 06:57:58,066 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 14/145 +[2025-03-11 06:57:58,092 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 15/145 +[2025-03-11 06:57:58,117 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 16/145 +[2025-03-11 06:57:58,143 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 17/145 +[2025-03-11 06:57:58,167 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 18/145 +[2025-03-11 06:57:58,192 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 19/145 +[2025-03-11 06:57:58,217 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 20/145 +[2025-03-11 06:57:58,242 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 21/145 +[2025-03-11 06:57:58,267 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 22/145 +[2025-03-11 06:57:58,292 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 23/145 +[2025-03-11 06:57:58,318 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 24/145 +[2025-03-11 06:57:58,342 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 25/145 +[2025-03-11 06:57:58,367 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 26/145 +[2025-03-11 06:57:58,392 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 27/145 +[2025-03-11 06:57:58,423 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 28/145 +[2025-03-11 06:57:58,448 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 29/145 +[2025-03-11 06:57:58,473 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 30/145 +[2025-03-11 06:57:58,498 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 31/145 +[2025-03-11 06:57:58,522 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 32/145 +[2025-03-11 06:57:58,547 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 33/145 +[2025-03-11 06:57:58,572 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 34/145 +[2025-03-11 06:57:58,599 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 35/145 +[2025-03-11 06:57:58,625 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 36/145 +[2025-03-11 06:57:58,649 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 37/145 +[2025-03-11 06:57:58,680 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 38/145 +[2025-03-11 06:57:58,705 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 39/145 +[2025-03-11 06:57:58,734 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 40/145 +[2025-03-11 06:57:58,762 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 41/145 +[2025-03-11 06:57:58,790 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 42/145 +[2025-03-11 06:57:58,821 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 43/145 +[2025-03-11 06:57:58,846 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 44/145 +[2025-03-11 06:57:58,878 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 45/145 +[2025-03-11 06:57:58,903 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 46/145 +[2025-03-11 06:57:58,930 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 47/145 +[2025-03-11 06:57:58,959 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 48/145 +[2025-03-11 06:57:58,984 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 49/145 +[2025-03-11 06:57:59,013 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 50/145 +[2025-03-11 06:57:59,038 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 51/145 +[2025-03-11 06:57:59,062 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 52/145 +[2025-03-11 06:57:59,087 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 53/145 +[2025-03-11 06:57:59,112 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 54/145 +[2025-03-11 06:57:59,138 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 55/145 +[2025-03-11 06:57:59,163 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 56/145 +[2025-03-11 06:57:59,187 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 57/145 +[2025-03-11 06:57:59,213 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 58/145 +[2025-03-11 06:57:59,263 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 59/145 +[2025-03-11 06:57:59,306 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 60/145 +[2025-03-11 06:57:59,356 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 61/145 +[2025-03-11 06:57:59,381 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 62/145 +[2025-03-11 06:57:59,412 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 63/145 +[2025-03-11 06:57:59,438 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 64/145 +[2025-03-11 06:57:59,463 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 65/145 +[2025-03-11 06:57:59,488 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 66/145 +[2025-03-11 06:57:59,512 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 67/145 +[2025-03-11 06:57:59,541 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 68/145 +[2025-03-11 06:57:59,566 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 69/145 +[2025-03-11 06:57:59,592 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 70/145 +[2025-03-11 06:57:59,619 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 71/145 +[2025-03-11 06:57:59,646 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 72/145 +[2025-03-11 06:57:59,671 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 73/145 +[2025-03-11 06:57:59,697 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 74/145 +[2025-03-11 06:57:59,721 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 75/145 +[2025-03-11 06:57:59,747 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 76/145 +[2025-03-11 06:57:59,780 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 77/145 +[2025-03-11 06:57:59,813 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 78/145 +[2025-03-11 06:57:59,851 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 79/145 +[2025-03-11 06:57:59,883 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 80/145 +[2025-03-11 06:57:59,918 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 81/145 +[2025-03-11 06:58:00,103 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 82/145 +[2025-03-11 06:58:00,136 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 83/145 +[2025-03-11 06:58:00,170 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 84/145 +[2025-03-11 06:58:00,205 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 85/145 +[2025-03-11 06:58:00,236 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 86/145 +[2025-03-11 06:58:00,271 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 87/145 +[2025-03-11 06:58:00,303 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 88/145 +[2025-03-11 06:58:00,335 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 89/145 +[2025-03-11 06:58:00,368 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 90/145 +[2025-03-11 06:58:00,403 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 91/145 +[2025-03-11 06:58:00,436 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 92/145 +[2025-03-11 06:58:00,480 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 93/145 +[2025-03-11 06:58:00,519 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 94/145 +[2025-03-11 06:58:00,562 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 95/145 +[2025-03-11 06:58:00,593 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 96/145 +[2025-03-11 06:58:00,619 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 97/145 +[2025-03-11 06:58:00,646 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 98/145 +[2025-03-11 06:58:00,673 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 99/145 +[2025-03-11 06:58:00,699 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 100/145 +[2025-03-11 06:58:00,725 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 101/145 +[2025-03-11 06:58:00,751 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 102/145 +[2025-03-11 06:58:00,777 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 103/145 +[2025-03-11 06:58:00,807 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 104/145 +[2025-03-11 06:58:00,834 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 105/145 +[2025-03-11 06:58:00,861 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 106/145 +[2025-03-11 06:58:00,886 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 107/145 +[2025-03-11 06:58:00,920 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 108/145 +[2025-03-11 06:58:00,948 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 109/145 +[2025-03-11 06:58:00,974 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 110/145 +[2025-03-11 06:58:01,001 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 111/145 +[2025-03-11 06:58:01,028 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 112/145 +[2025-03-11 06:58:01,061 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 113/145 +[2025-03-11 06:58:01,091 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 114/145 +[2025-03-11 06:58:01,117 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 115/145 +[2025-03-11 06:58:01,143 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 116/145 +[2025-03-11 06:58:01,169 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 117/145 +[2025-03-11 06:58:01,194 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 118/145 +[2025-03-11 06:58:01,219 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 119/145 +[2025-03-11 06:58:01,256 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 120/145 +[2025-03-11 06:58:01,281 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 121/145 +[2025-03-11 06:58:01,307 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 122/145 +[2025-03-11 06:58:01,331 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 123/145 +[2025-03-11 06:58:01,356 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 124/145 +[2025-03-11 06:58:01,381 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 125/145 +[2025-03-11 06:58:01,406 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 126/145 +[2025-03-11 06:58:01,431 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 127/145 +[2025-03-11 06:58:01,458 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 128/145 +[2025-03-11 06:58:01,484 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 129/145 +[2025-03-11 06:58:01,511 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 130/145 +[2025-03-11 06:58:01,536 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 131/145 +[2025-03-11 06:58:01,561 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 132/145 +[2025-03-11 06:58:01,586 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 133/145 +[2025-03-11 06:58:01,612 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 134/145 +[2025-03-11 06:58:01,637 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 135/145 +[2025-03-11 06:58:01,661 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 136/145 +[2025-03-11 06:58:01,711 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 137/145 +[2025-03-11 06:58:01,758 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 138/145 +[2025-03-11 06:58:01,796 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 139/145 +[2025-03-11 06:58:01,820 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 140/145 +[2025-03-11 06:58:01,845 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 141/145 +[2025-03-11 06:58:01,869 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 142/145 +[2025-03-11 06:58:01,895 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 143/145 +[2025-03-11 06:58:01,920 INFO test.py line 201 2389709] Test: 24/78-scene0382_00, Batch: 144/145 +[2025-03-11 06:58:02,084 INFO test.py line 291 2389709] Test: scene0382_00 [24/78]-100285 Batch 4.421 (4.511) Accuracy 0.9282 (0.2911) mIoU 0.5766 (0.2441) +[2025-03-11 06:58:02,132 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 0/121 +[2025-03-11 06:58:02,157 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 1/121 +[2025-03-11 06:58:02,186 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 2/121 +[2025-03-11 06:58:02,213 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 3/121 +[2025-03-11 06:58:02,239 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 4/121 +[2025-03-11 06:58:02,279 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 5/121 +[2025-03-11 06:58:02,320 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 6/121 +[2025-03-11 06:58:02,362 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 7/121 +[2025-03-11 06:58:02,387 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 8/121 +[2025-03-11 06:58:02,412 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 9/121 +[2025-03-11 06:58:02,437 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 10/121 +[2025-03-11 06:58:02,461 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 11/121 +[2025-03-11 06:58:02,486 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 12/121 +[2025-03-11 06:58:02,510 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 13/121 +[2025-03-11 06:58:02,551 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 14/121 +[2025-03-11 06:58:02,592 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 15/121 +[2025-03-11 06:58:02,633 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 16/121 +[2025-03-11 06:58:02,660 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 17/121 +[2025-03-11 06:58:02,684 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 18/121 +[2025-03-11 06:58:02,726 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 19/121 +[2025-03-11 06:58:02,750 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 20/121 +[2025-03-11 06:58:02,775 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 21/121 +[2025-03-11 06:58:02,799 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 22/121 +[2025-03-11 06:58:02,824 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 23/121 +[2025-03-11 06:58:02,861 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 24/121 +[2025-03-11 06:58:02,913 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 25/121 +[2025-03-11 06:58:02,939 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 26/121 +[2025-03-11 06:58:02,964 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 27/121 +[2025-03-11 06:58:02,989 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 28/121 +[2025-03-11 06:58:03,015 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 29/121 +[2025-03-11 06:58:03,040 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 30/121 +[2025-03-11 06:58:03,066 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 31/121 +[2025-03-11 06:58:03,091 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 32/121 +[2025-03-11 06:58:03,116 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 33/121 +[2025-03-11 06:58:03,141 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 34/121 +[2025-03-11 06:58:03,173 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 35/121 +[2025-03-11 06:58:03,199 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 36/121 +[2025-03-11 06:58:03,227 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 37/121 +[2025-03-11 06:58:03,264 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 38/121 +[2025-03-11 06:58:03,289 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 39/121 +[2025-03-11 06:58:03,313 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 40/121 +[2025-03-11 06:58:03,347 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 41/121 +[2025-03-11 06:58:03,372 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 42/121 +[2025-03-11 06:58:03,403 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 43/121 +[2025-03-11 06:58:03,435 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 44/121 +[2025-03-11 06:58:03,460 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 45/121 +[2025-03-11 06:58:03,484 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 46/121 +[2025-03-11 06:58:03,515 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 47/121 +[2025-03-11 06:58:03,541 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 48/121 +[2025-03-11 06:58:03,576 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 49/121 +[2025-03-11 06:58:03,615 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 50/121 +[2025-03-11 06:58:03,640 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 51/121 +[2025-03-11 06:58:03,668 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 52/121 +[2025-03-11 06:58:03,724 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 53/121 +[2025-03-11 06:58:03,748 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 54/121 +[2025-03-11 06:58:03,773 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 55/121 +[2025-03-11 06:58:03,798 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 56/121 +[2025-03-11 06:58:03,822 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 57/121 +[2025-03-11 06:58:03,870 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 58/121 +[2025-03-11 06:58:03,894 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 59/121 +[2025-03-11 06:58:03,918 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 60/121 +[2025-03-11 06:58:03,942 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 61/121 +[2025-03-11 06:58:03,966 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 62/121 +[2025-03-11 06:58:03,991 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 63/121 +[2025-03-11 06:58:04,016 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 64/121 +[2025-03-11 06:58:04,040 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 65/121 +[2025-03-11 06:58:04,072 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 66/121 +[2025-03-11 06:58:04,096 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 67/121 +[2025-03-11 06:58:04,120 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 68/121 +[2025-03-11 06:58:04,154 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 69/121 +[2025-03-11 06:58:04,178 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 70/121 +[2025-03-11 06:58:04,202 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 71/121 +[2025-03-11 06:58:04,234 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 72/121 +[2025-03-11 06:58:04,261 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 73/121 +[2025-03-11 06:58:04,288 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 74/121 +[2025-03-11 06:58:04,314 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 75/121 +[2025-03-11 06:58:04,340 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 76/121 +[2025-03-11 06:58:04,389 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 77/121 +[2025-03-11 06:58:04,416 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 78/121 +[2025-03-11 06:58:04,442 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 79/121 +[2025-03-11 06:58:04,468 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 80/121 +[2025-03-11 06:58:04,495 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 81/121 +[2025-03-11 06:58:04,522 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 82/121 +[2025-03-11 06:58:04,549 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 83/121 +[2025-03-11 06:58:04,575 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 84/121 +[2025-03-11 06:58:04,602 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 85/121 +[2025-03-11 06:58:04,628 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 86/121 +[2025-03-11 06:58:04,655 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 87/121 +[2025-03-11 06:58:04,681 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 88/121 +[2025-03-11 06:58:04,711 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 89/121 +[2025-03-11 06:58:04,740 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 90/121 +[2025-03-11 06:58:04,766 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 91/121 +[2025-03-11 06:58:04,804 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 92/121 +[2025-03-11 06:58:04,854 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 93/121 +[2025-03-11 06:58:04,881 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 94/121 +[2025-03-11 06:58:04,915 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 95/121 +[2025-03-11 06:58:04,950 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 96/121 +[2025-03-11 06:58:04,986 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 97/121 +[2025-03-11 06:58:05,041 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 98/121 +[2025-03-11 06:58:05,078 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 99/121 +[2025-03-11 06:58:05,116 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 100/121 +[2025-03-11 06:58:05,155 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 101/121 +[2025-03-11 06:58:05,196 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 102/121 +[2025-03-11 06:58:05,243 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 103/121 +[2025-03-11 06:58:05,322 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 104/121 +[2025-03-11 06:58:05,386 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 105/121 +[2025-03-11 06:58:05,427 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 106/121 +[2025-03-11 06:58:05,466 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 107/121 +[2025-03-11 06:58:05,499 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 108/121 +[2025-03-11 06:58:05,526 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 109/121 +[2025-03-11 06:58:05,553 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 110/121 +[2025-03-11 06:58:05,580 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 111/121 +[2025-03-11 06:58:05,606 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 112/121 +[2025-03-11 06:58:05,632 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 113/121 +[2025-03-11 06:58:05,661 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 114/121 +[2025-03-11 06:58:05,692 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 115/121 +[2025-03-11 06:58:05,719 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 116/121 +[2025-03-11 06:58:05,746 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 117/121 +[2025-03-11 06:58:05,777 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 118/121 +[2025-03-11 06:58:05,836 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 119/121 +[2025-03-11 06:58:05,893 INFO test.py line 201 2389709] Test: 25/78-scene0077_00, Batch: 120/121 +[2025-03-11 06:58:05,999 INFO test.py line 291 2389709] Test: scene0077_00 [25/78]-92807 Batch 3.915 (4.487) Accuracy 0.8580 (0.2908) mIoU 0.4759 (0.2445) +[2025-03-11 06:58:06,058 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 0/159 +[2025-03-11 06:58:06,087 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 1/159 +[2025-03-11 06:58:06,117 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 2/159 +[2025-03-11 06:58:06,145 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 3/159 +[2025-03-11 06:58:06,174 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 4/159 +[2025-03-11 06:58:06,202 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 5/159 +[2025-03-11 06:58:06,232 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 6/159 +[2025-03-11 06:58:06,263 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 7/159 +[2025-03-11 06:58:06,322 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 8/159 +[2025-03-11 06:58:06,378 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 9/159 +[2025-03-11 06:58:06,407 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 10/159 +[2025-03-11 06:58:06,436 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 11/159 +[2025-03-11 06:58:06,465 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 12/159 +[2025-03-11 06:58:06,494 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 13/159 +[2025-03-11 06:58:06,523 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 14/159 +[2025-03-11 06:58:06,582 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 15/159 +[2025-03-11 06:58:06,639 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 16/159 +[2025-03-11 06:58:06,667 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 17/159 +[2025-03-11 06:58:06,696 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 18/159 +[2025-03-11 06:58:06,723 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 19/159 +[2025-03-11 06:58:06,778 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 20/159 +[2025-03-11 06:58:06,830 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 21/159 +[2025-03-11 06:58:06,857 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 22/159 +[2025-03-11 06:58:06,883 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 23/159 +[2025-03-11 06:58:06,911 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 24/159 +[2025-03-11 06:58:06,938 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 25/159 +[2025-03-11 06:58:06,965 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 26/159 +[2025-03-11 06:58:07,022 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 27/159 +[2025-03-11 06:58:07,050 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 28/159 +[2025-03-11 06:58:07,078 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 29/159 +[2025-03-11 06:58:07,106 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 30/159 +[2025-03-11 06:58:07,134 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 31/159 +[2025-03-11 06:58:07,162 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 32/159 +[2025-03-11 06:58:07,190 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 33/159 +[2025-03-11 06:58:07,221 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 34/159 +[2025-03-11 06:58:07,263 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 35/159 +[2025-03-11 06:58:07,291 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 36/159 +[2025-03-11 06:58:07,320 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 37/159 +[2025-03-11 06:58:07,348 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 38/159 +[2025-03-11 06:58:07,378 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 39/159 +[2025-03-11 06:58:07,404 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 40/159 +[2025-03-11 06:58:07,430 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 41/159 +[2025-03-11 06:58:07,455 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 42/159 +[2025-03-11 06:58:07,482 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 43/159 +[2025-03-11 06:58:07,508 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 44/159 +[2025-03-11 06:58:07,533 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 45/159 +[2025-03-11 06:58:07,561 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 46/159 +[2025-03-11 06:58:07,593 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 47/159 +[2025-03-11 06:58:07,619 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 48/159 +[2025-03-11 06:58:07,683 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 49/159 +[2025-03-11 06:58:07,721 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 50/159 +[2025-03-11 06:58:07,763 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 51/159 +[2025-03-11 06:58:07,808 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 52/159 +[2025-03-11 06:58:07,839 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 53/159 +[2025-03-11 06:58:07,864 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 54/159 +[2025-03-11 06:58:07,888 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 55/159 +[2025-03-11 06:58:07,915 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 56/159 +[2025-03-11 06:58:07,941 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 57/159 +[2025-03-11 06:58:07,965 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 58/159 +[2025-03-11 06:58:07,992 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 59/159 +[2025-03-11 06:58:08,017 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 60/159 +[2025-03-11 06:58:08,044 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 61/159 +[2025-03-11 06:58:08,068 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 62/159 +[2025-03-11 06:58:08,095 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 63/159 +[2025-03-11 06:58:08,120 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 64/159 +[2025-03-11 06:58:08,145 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 65/159 +[2025-03-11 06:58:08,170 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 66/159 +[2025-03-11 06:58:08,208 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 67/159 +[2025-03-11 06:58:08,233 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 68/159 +[2025-03-11 06:58:08,258 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 69/159 +[2025-03-11 06:58:08,313 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 70/159 +[2025-03-11 06:58:08,343 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 71/159 +[2025-03-11 06:58:08,374 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 72/159 +[2025-03-11 06:58:08,404 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 73/159 +[2025-03-11 06:58:08,433 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 74/159 +[2025-03-11 06:58:08,464 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 75/159 +[2025-03-11 06:58:08,494 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 76/159 +[2025-03-11 06:58:08,525 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 77/159 +[2025-03-11 06:58:08,568 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 78/159 +[2025-03-11 06:58:08,597 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 79/159 +[2025-03-11 06:58:08,627 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 80/159 +[2025-03-11 06:58:08,657 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 81/159 +[2025-03-11 06:58:08,688 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 82/159 +[2025-03-11 06:58:08,719 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 83/159 +[2025-03-11 06:58:08,746 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 84/159 +[2025-03-11 06:58:08,772 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 85/159 +[2025-03-11 06:58:08,798 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 86/159 +[2025-03-11 06:58:08,824 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 87/159 +[2025-03-11 06:58:08,849 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 88/159 +[2025-03-11 06:58:08,875 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 89/159 +[2025-03-11 06:58:08,901 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 90/159 +[2025-03-11 06:58:08,932 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 91/159 +[2025-03-11 06:58:08,957 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 92/159 +[2025-03-11 06:58:08,991 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 93/159 +[2025-03-11 06:58:09,017 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 94/159 +[2025-03-11 06:58:09,045 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 95/159 +[2025-03-11 06:58:09,077 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 96/159 +[2025-03-11 06:58:09,102 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 97/159 +[2025-03-11 06:58:09,131 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 98/159 +[2025-03-11 06:58:09,156 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 99/159 +[2025-03-11 06:58:09,180 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 100/159 +[2025-03-11 06:58:09,205 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 101/159 +[2025-03-11 06:58:09,231 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 102/159 +[2025-03-11 06:58:09,257 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 103/159 +[2025-03-11 06:58:09,283 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 104/159 +[2025-03-11 06:58:09,309 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 105/159 +[2025-03-11 06:58:09,334 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 106/159 +[2025-03-11 06:58:09,360 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 107/159 +[2025-03-11 06:58:09,387 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 108/159 +[2025-03-11 06:58:09,413 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 109/159 +[2025-03-11 06:58:09,438 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 110/159 +[2025-03-11 06:58:09,464 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 111/159 +[2025-03-11 06:58:09,490 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 112/159 +[2025-03-11 06:58:09,516 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 113/159 +[2025-03-11 06:58:09,541 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 114/159 +[2025-03-11 06:58:09,568 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 115/159 +[2025-03-11 06:58:09,595 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 116/159 +[2025-03-11 06:58:09,620 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 117/159 +[2025-03-11 06:58:09,651 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 118/159 +[2025-03-11 06:58:09,678 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 119/159 +[2025-03-11 06:58:09,711 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 120/159 +[2025-03-11 06:58:09,743 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 121/159 +[2025-03-11 06:58:09,768 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 122/159 +[2025-03-11 06:58:09,793 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 123/159 +[2025-03-11 06:58:09,819 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 124/159 +[2025-03-11 06:58:09,844 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 125/159 +[2025-03-11 06:58:09,870 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 126/159 +[2025-03-11 06:58:09,895 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 127/159 +[2025-03-11 06:58:09,920 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 128/159 +[2025-03-11 06:58:09,945 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 129/159 +[2025-03-11 06:58:09,971 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 130/159 +[2025-03-11 06:58:09,997 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 131/159 +[2025-03-11 06:58:10,022 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 132/159 +[2025-03-11 06:58:10,048 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 133/159 +[2025-03-11 06:58:10,094 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 134/159 +[2025-03-11 06:58:10,120 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 135/159 +[2025-03-11 06:58:10,146 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 136/159 +[2025-03-11 06:58:10,179 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 137/159 +[2025-03-11 06:58:10,205 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 138/159 +[2025-03-11 06:58:10,235 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 139/159 +[2025-03-11 06:58:10,264 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 140/159 +[2025-03-11 06:58:10,289 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 141/159 +[2025-03-11 06:58:10,315 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 142/159 +[2025-03-11 06:58:10,341 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 143/159 +[2025-03-11 06:58:10,370 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 144/159 +[2025-03-11 06:58:10,410 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 145/159 +[2025-03-11 06:58:10,455 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 146/159 +[2025-03-11 06:58:10,484 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 147/159 +[2025-03-11 06:58:10,510 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 148/159 +[2025-03-11 06:58:10,535 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 149/159 +[2025-03-11 06:58:10,560 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 150/159 +[2025-03-11 06:58:10,586 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 151/159 +[2025-03-11 06:58:10,611 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 152/159 +[2025-03-11 06:58:10,637 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 153/159 +[2025-03-11 06:58:10,662 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 154/159 +[2025-03-11 06:58:10,689 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 155/159 +[2025-03-11 06:58:10,716 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 156/159 +[2025-03-11 06:58:10,743 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 157/159 +[2025-03-11 06:58:10,770 INFO test.py line 201 2389709] Test: 26/78-scene0084_00, Batch: 158/159 +[2025-03-11 06:58:10,902 INFO test.py line 291 2389709] Test: scene0084_00 [26/78]-116845 Batch 4.902 (4.503) Accuracy 0.7188 (0.3103) mIoU 0.3168 (0.2594) +[2025-03-11 06:58:10,979 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 0/121 +[2025-03-11 06:58:11,014 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 1/121 +[2025-03-11 06:58:11,048 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 2/121 +[2025-03-11 06:58:11,081 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 3/121 +[2025-03-11 06:58:11,123 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 4/121 +[2025-03-11 06:58:11,156 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 5/121 +[2025-03-11 06:58:11,191 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 6/121 +[2025-03-11 06:58:11,224 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 7/121 +[2025-03-11 06:58:11,258 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 8/121 +[2025-03-11 06:58:11,295 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 9/121 +[2025-03-11 06:58:11,328 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 10/121 +[2025-03-11 06:58:11,362 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 11/121 +[2025-03-11 06:58:11,400 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 12/121 +[2025-03-11 06:58:11,432 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 13/121 +[2025-03-11 06:58:11,491 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 14/121 +[2025-03-11 06:58:11,524 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 15/121 +[2025-03-11 06:58:11,561 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 16/121 +[2025-03-11 06:58:11,601 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 17/121 +[2025-03-11 06:58:11,633 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 18/121 +[2025-03-11 06:58:11,667 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 19/121 +[2025-03-11 06:58:11,705 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 20/121 +[2025-03-11 06:58:11,741 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 21/121 +[2025-03-11 06:58:11,773 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 22/121 +[2025-03-11 06:58:11,808 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 23/121 +[2025-03-11 06:58:11,840 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 24/121 +[2025-03-11 06:58:11,873 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 25/121 +[2025-03-11 06:58:11,906 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 26/121 +[2025-03-11 06:58:11,940 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 27/121 +[2025-03-11 06:58:11,972 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 28/121 +[2025-03-11 06:58:12,005 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 29/121 +[2025-03-11 06:58:12,037 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 30/121 +[2025-03-11 06:58:12,071 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 31/121 +[2025-03-11 06:58:12,114 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 32/121 +[2025-03-11 06:58:12,148 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 33/121 +[2025-03-11 06:58:12,181 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 34/121 +[2025-03-11 06:58:12,213 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 35/121 +[2025-03-11 06:58:12,252 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 36/121 +[2025-03-11 06:58:12,289 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 37/121 +[2025-03-11 06:58:12,320 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 38/121 +[2025-03-11 06:58:12,360 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 39/121 +[2025-03-11 06:58:12,392 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 40/121 +[2025-03-11 06:58:12,424 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 41/121 +[2025-03-11 06:58:12,456 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 42/121 +[2025-03-11 06:58:12,488 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 43/121 +[2025-03-11 06:58:12,520 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 44/121 +[2025-03-11 06:58:12,552 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 45/121 +[2025-03-11 06:58:12,582 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 46/121 +[2025-03-11 06:58:12,623 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 47/121 +[2025-03-11 06:58:12,662 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 48/121 +[2025-03-11 06:58:12,705 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 49/121 +[2025-03-11 06:58:12,746 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 50/121 +[2025-03-11 06:58:12,798 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 51/121 +[2025-03-11 06:58:12,833 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 52/121 +[2025-03-11 06:58:12,869 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 53/121 +[2025-03-11 06:58:12,904 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 54/121 +[2025-03-11 06:58:12,940 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 55/121 +[2025-03-11 06:58:12,980 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 56/121 +[2025-03-11 06:58:13,017 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 57/121 +[2025-03-11 06:58:13,050 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 58/121 +[2025-03-11 06:58:13,083 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 59/121 +[2025-03-11 06:58:13,114 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 60/121 +[2025-03-11 06:58:13,145 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 61/121 +[2025-03-11 06:58:13,188 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 62/121 +[2025-03-11 06:58:13,233 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 63/121 +[2025-03-11 06:58:13,278 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 64/121 +[2025-03-11 06:58:13,310 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 65/121 +[2025-03-11 06:58:13,342 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 66/121 +[2025-03-11 06:58:13,373 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 67/121 +[2025-03-11 06:58:13,404 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 68/121 +[2025-03-11 06:58:13,448 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 69/121 +[2025-03-11 06:58:13,493 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 70/121 +[2025-03-11 06:58:13,531 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 71/121 +[2025-03-11 06:58:13,562 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 72/121 +[2025-03-11 06:58:13,595 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 73/121 +[2025-03-11 06:58:13,626 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 74/121 +[2025-03-11 06:58:13,667 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 75/121 +[2025-03-11 06:58:13,712 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 76/121 +[2025-03-11 06:58:13,756 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 77/121 +[2025-03-11 06:58:13,788 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 78/121 +[2025-03-11 06:58:13,822 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 79/121 +[2025-03-11 06:58:13,856 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 80/121 +[2025-03-11 06:58:13,890 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 81/121 +[2025-03-11 06:58:13,923 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 82/121 +[2025-03-11 06:58:13,957 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 83/121 +[2025-03-11 06:58:13,991 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 84/121 +[2025-03-11 06:58:14,024 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 85/121 +[2025-03-11 06:58:14,058 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 86/121 +[2025-03-11 06:58:14,092 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 87/121 +[2025-03-11 06:58:14,126 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 88/121 +[2025-03-11 06:58:14,160 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 89/121 +[2025-03-11 06:58:14,194 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 90/121 +[2025-03-11 06:58:14,229 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 91/121 +[2025-03-11 06:58:14,274 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 92/121 +[2025-03-11 06:58:14,309 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 93/121 +[2025-03-11 06:58:14,342 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 94/121 +[2025-03-11 06:58:14,377 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 95/121 +[2025-03-11 06:58:14,411 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 96/121 +[2025-03-11 06:58:14,445 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 97/121 +[2025-03-11 06:58:14,478 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 98/121 +[2025-03-11 06:58:14,512 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 99/121 +[2025-03-11 06:58:14,546 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 100/121 +[2025-03-11 06:58:14,581 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 101/121 +[2025-03-11 06:58:14,616 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 102/121 +[2025-03-11 06:58:14,650 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 103/121 +[2025-03-11 06:58:14,684 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 104/121 +[2025-03-11 06:58:14,717 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 105/121 +[2025-03-11 06:58:14,753 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 106/121 +[2025-03-11 06:58:14,787 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 107/121 +[2025-03-11 06:58:14,822 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 108/121 +[2025-03-11 06:58:14,858 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 109/121 +[2025-03-11 06:58:14,892 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 110/121 +[2025-03-11 06:58:14,926 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 111/121 +[2025-03-11 06:58:14,960 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 112/121 +[2025-03-11 06:58:14,992 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 113/121 +[2025-03-11 06:58:15,026 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 114/121 +[2025-03-11 06:58:15,060 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 115/121 +[2025-03-11 06:58:15,101 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 116/121 +[2025-03-11 06:58:15,133 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 117/121 +[2025-03-11 06:58:15,171 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 118/121 +[2025-03-11 06:58:15,203 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 119/121 +[2025-03-11 06:58:15,237 INFO test.py line 201 2389709] Test: 27/78-scene0608_00, Batch: 120/121 +[2025-03-11 06:58:15,451 INFO test.py line 291 2389709] Test: scene0608_00 [27/78]-186579 Batch 4.549 (4.504) Accuracy 0.7623 (0.3080) mIoU 0.3118 (0.2558) +[2025-03-11 06:58:15,517 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 0/134 +[2025-03-11 06:58:15,546 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 1/134 +[2025-03-11 06:58:15,576 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 2/134 +[2025-03-11 06:58:15,606 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 3/134 +[2025-03-11 06:58:15,635 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 4/134 +[2025-03-11 06:58:15,665 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 5/134 +[2025-03-11 06:58:15,696 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 6/134 +[2025-03-11 06:58:15,726 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 7/134 +[2025-03-11 06:58:15,754 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 8/134 +[2025-03-11 06:58:15,784 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 9/134 +[2025-03-11 06:58:15,815 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 10/134 +[2025-03-11 06:58:15,845 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 11/134 +[2025-03-11 06:58:15,873 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 12/134 +[2025-03-11 06:58:15,902 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 13/134 +[2025-03-11 06:58:15,931 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 14/134 +[2025-03-11 06:58:15,960 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 15/134 +[2025-03-11 06:58:15,991 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 16/134 +[2025-03-11 06:58:16,020 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 17/134 +[2025-03-11 06:58:16,048 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 18/134 +[2025-03-11 06:58:16,077 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 19/134 +[2025-03-11 06:58:16,114 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 20/134 +[2025-03-11 06:58:16,143 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 21/134 +[2025-03-11 06:58:16,172 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 22/134 +[2025-03-11 06:58:16,203 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 23/134 +[2025-03-11 06:58:16,232 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 24/134 +[2025-03-11 06:58:16,261 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 25/134 +[2025-03-11 06:58:16,289 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 26/134 +[2025-03-11 06:58:16,318 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 27/134 +[2025-03-11 06:58:16,348 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 28/134 +[2025-03-11 06:58:16,376 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 29/134 +[2025-03-11 06:58:16,405 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 30/134 +[2025-03-11 06:58:16,435 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 31/134 +[2025-03-11 06:58:16,465 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 32/134 +[2025-03-11 06:58:16,495 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 33/134 +[2025-03-11 06:58:16,524 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 34/134 +[2025-03-11 06:58:16,553 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 35/134 +[2025-03-11 06:58:16,582 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 36/134 +[2025-03-11 06:58:16,611 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 37/134 +[2025-03-11 06:58:16,639 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 38/134 +[2025-03-11 06:58:16,668 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 39/134 +[2025-03-11 06:58:16,697 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 40/134 +[2025-03-11 06:58:16,725 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 41/134 +[2025-03-11 06:58:16,753 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 42/134 +[2025-03-11 06:58:16,780 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 43/134 +[2025-03-11 06:58:16,816 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 44/134 +[2025-03-11 06:58:16,843 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 45/134 +[2025-03-11 06:58:16,871 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 46/134 +[2025-03-11 06:58:16,901 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 47/134 +[2025-03-11 06:58:16,927 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 48/134 +[2025-03-11 06:58:16,956 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 49/134 +[2025-03-11 06:58:16,984 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 50/134 +[2025-03-11 06:58:17,013 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 51/134 +[2025-03-11 06:58:17,042 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 52/134 +[2025-03-11 06:58:17,071 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 53/134 +[2025-03-11 06:58:17,098 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 54/134 +[2025-03-11 06:58:17,128 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 55/134 +[2025-03-11 06:58:17,155 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 56/134 +[2025-03-11 06:58:17,183 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 57/134 +[2025-03-11 06:58:17,211 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 58/134 +[2025-03-11 06:58:17,238 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 59/134 +[2025-03-11 06:58:17,266 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 60/134 +[2025-03-11 06:58:17,293 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 61/134 +[2025-03-11 06:58:17,320 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 62/134 +[2025-03-11 06:58:17,347 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 63/134 +[2025-03-11 06:58:17,373 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 64/134 +[2025-03-11 06:58:17,407 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 65/134 +[2025-03-11 06:58:17,433 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 66/134 +[2025-03-11 06:58:17,459 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 67/134 +[2025-03-11 06:58:17,486 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 68/134 +[2025-03-11 06:58:17,514 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 69/134 +[2025-03-11 06:58:17,545 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 70/134 +[2025-03-11 06:58:17,577 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 71/134 +[2025-03-11 06:58:17,610 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 72/134 +[2025-03-11 06:58:17,641 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 73/134 +[2025-03-11 06:58:17,672 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 74/134 +[2025-03-11 06:58:17,704 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 75/134 +[2025-03-11 06:58:17,734 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 76/134 +[2025-03-11 06:58:17,767 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 77/134 +[2025-03-11 06:58:17,799 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 78/134 +[2025-03-11 06:58:17,830 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 79/134 +[2025-03-11 06:58:17,873 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 80/134 +[2025-03-11 06:58:17,904 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 81/134 +[2025-03-11 06:58:17,936 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 82/134 +[2025-03-11 06:58:17,968 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 83/134 +[2025-03-11 06:58:18,001 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 84/134 +[2025-03-11 06:58:18,028 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 85/134 +[2025-03-11 06:58:18,056 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 86/134 +[2025-03-11 06:58:18,084 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 87/134 +[2025-03-11 06:58:18,112 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 88/134 +[2025-03-11 06:58:18,140 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 89/134 +[2025-03-11 06:58:18,169 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 90/134 +[2025-03-11 06:58:18,197 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 91/134 +[2025-03-11 06:58:18,227 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 92/134 +[2025-03-11 06:58:18,256 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 93/134 +[2025-03-11 06:58:18,284 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 94/134 +[2025-03-11 06:58:18,314 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 95/134 +[2025-03-11 06:58:18,343 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 96/134 +[2025-03-11 06:58:18,374 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 97/134 +[2025-03-11 06:58:18,404 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 98/134 +[2025-03-11 06:58:18,434 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 99/134 +[2025-03-11 06:58:18,464 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 100/134 +[2025-03-11 06:58:18,492 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 101/134 +[2025-03-11 06:58:18,522 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 102/134 +[2025-03-11 06:58:18,550 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 103/134 +[2025-03-11 06:58:18,578 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 104/134 +[2025-03-11 06:58:18,607 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 105/134 +[2025-03-11 06:58:18,635 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 106/134 +[2025-03-11 06:58:18,664 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 107/134 +[2025-03-11 06:58:18,692 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 108/134 +[2025-03-11 06:58:18,720 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 109/134 +[2025-03-11 06:58:18,749 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 110/134 +[2025-03-11 06:58:18,777 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 111/134 +[2025-03-11 06:58:18,805 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 112/134 +[2025-03-11 06:58:18,833 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 113/134 +[2025-03-11 06:58:18,861 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 114/134 +[2025-03-11 06:58:18,890 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 115/134 +[2025-03-11 06:58:18,918 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 116/134 +[2025-03-11 06:58:18,947 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 117/134 +[2025-03-11 06:58:18,975 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 118/134 +[2025-03-11 06:58:19,003 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 119/134 +[2025-03-11 06:58:19,031 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 120/134 +[2025-03-11 06:58:19,063 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 121/134 +[2025-03-11 06:58:19,091 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 122/134 +[2025-03-11 06:58:19,118 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 123/134 +[2025-03-11 06:58:19,146 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 124/134 +[2025-03-11 06:58:19,173 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 125/134 +[2025-03-11 06:58:19,201 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 126/134 +[2025-03-11 06:58:19,229 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 127/134 +[2025-03-11 06:58:19,258 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 128/134 +[2025-03-11 06:58:19,286 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 129/134 +[2025-03-11 06:58:19,315 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 130/134 +[2025-03-11 06:58:19,343 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 131/134 +[2025-03-11 06:58:19,372 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 132/134 +[2025-03-11 06:58:19,401 INFO test.py line 201 2389709] Test: 28/78-scene0558_01, Batch: 133/134 +[2025-03-11 06:58:19,571 INFO test.py line 291 2389709] Test: scene0558_01 [28/78]-141342 Batch 4.120 (4.491) Accuracy 0.8783 (0.3085) mIoU 0.5180 (0.2565) +[2025-03-11 06:58:19,627 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 0/125 +[2025-03-11 06:58:19,656 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 1/125 +[2025-03-11 06:58:19,684 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 2/125 +[2025-03-11 06:58:19,711 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 3/125 +[2025-03-11 06:58:19,737 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 4/125 +[2025-03-11 06:58:19,765 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 5/125 +[2025-03-11 06:58:19,792 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 6/125 +[2025-03-11 06:58:19,819 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 7/125 +[2025-03-11 06:58:19,847 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 8/125 +[2025-03-11 06:58:19,873 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 9/125 +[2025-03-11 06:58:19,909 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 10/125 +[2025-03-11 06:58:19,936 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 11/125 +[2025-03-11 06:58:19,962 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 12/125 +[2025-03-11 06:58:19,988 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 13/125 +[2025-03-11 06:58:20,014 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 14/125 +[2025-03-11 06:58:20,041 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 15/125 +[2025-03-11 06:58:20,068 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 16/125 +[2025-03-11 06:58:20,095 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 17/125 +[2025-03-11 06:58:20,121 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 18/125 +[2025-03-11 06:58:20,147 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 19/125 +[2025-03-11 06:58:20,172 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 20/125 +[2025-03-11 06:58:20,197 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 21/125 +[2025-03-11 06:58:20,228 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 22/125 +[2025-03-11 06:58:20,264 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 23/125 +[2025-03-11 06:58:20,290 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 24/125 +[2025-03-11 06:58:20,317 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 25/125 +[2025-03-11 06:58:20,347 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 26/125 +[2025-03-11 06:58:20,380 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 27/125 +[2025-03-11 06:58:20,407 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 28/125 +[2025-03-11 06:58:20,434 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 29/125 +[2025-03-11 06:58:20,460 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 30/125 +[2025-03-11 06:58:20,487 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 31/125 +[2025-03-11 06:58:20,513 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 32/125 +[2025-03-11 06:58:20,540 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 33/125 +[2025-03-11 06:58:20,567 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 34/125 +[2025-03-11 06:58:20,593 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 35/125 +[2025-03-11 06:58:20,620 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 36/125 +[2025-03-11 06:58:20,645 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 37/125 +[2025-03-11 06:58:20,671 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 38/125 +[2025-03-11 06:58:20,724 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 39/125 +[2025-03-11 06:58:20,750 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 40/125 +[2025-03-11 06:58:20,775 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 41/125 +[2025-03-11 06:58:20,801 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 42/125 +[2025-03-11 06:58:20,827 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 43/125 +[2025-03-11 06:58:20,853 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 44/125 +[2025-03-11 06:58:20,879 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 45/125 +[2025-03-11 06:58:20,906 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 46/125 +[2025-03-11 06:58:20,933 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 47/125 +[2025-03-11 06:58:20,960 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 48/125 +[2025-03-11 06:58:20,987 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 49/125 +[2025-03-11 06:58:21,014 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 50/125 +[2025-03-11 06:58:21,041 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 51/125 +[2025-03-11 06:58:21,074 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 52/125 +[2025-03-11 06:58:21,100 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 53/125 +[2025-03-11 06:58:21,129 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 54/125 +[2025-03-11 06:58:21,164 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 55/125 +[2025-03-11 06:58:21,198 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 56/125 +[2025-03-11 06:58:21,223 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 57/125 +[2025-03-11 06:58:21,249 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 58/125 +[2025-03-11 06:58:21,276 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 59/125 +[2025-03-11 06:58:21,304 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 60/125 +[2025-03-11 06:58:21,329 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 61/125 +[2025-03-11 06:58:21,360 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 62/125 +[2025-03-11 06:58:21,388 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 63/125 +[2025-03-11 06:58:21,415 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 64/125 +[2025-03-11 06:58:21,441 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 65/125 +[2025-03-11 06:58:21,472 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 66/125 +[2025-03-11 06:58:21,507 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 67/125 +[2025-03-11 06:58:21,532 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 68/125 +[2025-03-11 06:58:21,565 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 69/125 +[2025-03-11 06:58:21,590 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 70/125 +[2025-03-11 06:58:21,615 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 71/125 +[2025-03-11 06:58:21,642 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 72/125 +[2025-03-11 06:58:21,668 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 73/125 +[2025-03-11 06:58:21,694 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 74/125 +[2025-03-11 06:58:21,720 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 75/125 +[2025-03-11 06:58:21,747 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 76/125 +[2025-03-11 06:58:21,774 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 77/125 +[2025-03-11 06:58:21,801 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 78/125 +[2025-03-11 06:58:21,828 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 79/125 +[2025-03-11 06:58:21,854 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 80/125 +[2025-03-11 06:58:21,880 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 81/125 +[2025-03-11 06:58:21,908 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 82/125 +[2025-03-11 06:58:21,936 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 83/125 +[2025-03-11 06:58:21,963 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 84/125 +[2025-03-11 06:58:21,991 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 85/125 +[2025-03-11 06:58:22,018 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 86/125 +[2025-03-11 06:58:22,045 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 87/125 +[2025-03-11 06:58:22,071 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 88/125 +[2025-03-11 06:58:22,098 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 89/125 +[2025-03-11 06:58:22,124 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 90/125 +[2025-03-11 06:58:22,151 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 91/125 +[2025-03-11 06:58:22,179 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 92/125 +[2025-03-11 06:58:22,207 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 93/125 +[2025-03-11 06:58:22,234 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 94/125 +[2025-03-11 06:58:22,262 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 95/125 +[2025-03-11 06:58:22,289 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 96/125 +[2025-03-11 06:58:22,317 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 97/125 +[2025-03-11 06:58:22,344 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 98/125 +[2025-03-11 06:58:22,372 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 99/125 +[2025-03-11 06:58:22,398 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 100/125 +[2025-03-11 06:58:22,425 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 101/125 +[2025-03-11 06:58:22,452 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 102/125 +[2025-03-11 06:58:22,480 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 103/125 +[2025-03-11 06:58:22,509 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 104/125 +[2025-03-11 06:58:22,536 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 105/125 +[2025-03-11 06:58:22,564 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 106/125 +[2025-03-11 06:58:22,592 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 107/125 +[2025-03-11 06:58:22,621 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 108/125 +[2025-03-11 06:58:22,653 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 109/125 +[2025-03-11 06:58:22,681 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 110/125 +[2025-03-11 06:58:22,708 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 111/125 +[2025-03-11 06:58:22,750 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 112/125 +[2025-03-11 06:58:22,778 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 113/125 +[2025-03-11 06:58:22,807 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 114/125 +[2025-03-11 06:58:22,836 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 115/125 +[2025-03-11 06:58:22,863 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 116/125 +[2025-03-11 06:58:22,890 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 117/125 +[2025-03-11 06:58:22,933 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 118/125 +[2025-03-11 06:58:22,960 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 119/125 +[2025-03-11 06:58:22,987 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 120/125 +[2025-03-11 06:58:23,013 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 121/125 +[2025-03-11 06:58:23,059 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 122/125 +[2025-03-11 06:58:23,086 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 123/125 +[2025-03-11 06:58:23,113 INFO test.py line 201 2389709] Test: 29/78-scene0430_01, Batch: 124/125 +[2025-03-11 06:58:23,256 INFO test.py line 291 2389709] Test: scene0430_01 [29/78]-126166 Batch 3.684 (4.463) Accuracy 0.8659 (0.3084) mIoU 0.4724 (0.2561) +[2025-03-11 06:58:23,319 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 0/144 +[2025-03-11 06:58:23,346 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 1/144 +[2025-03-11 06:58:23,373 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 2/144 +[2025-03-11 06:58:23,400 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 3/144 +[2025-03-11 06:58:23,426 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 4/144 +[2025-03-11 06:58:23,452 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 5/144 +[2025-03-11 06:58:23,479 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 6/144 +[2025-03-11 06:58:23,505 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 7/144 +[2025-03-11 06:58:23,549 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 8/144 +[2025-03-11 06:58:23,576 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 9/144 +[2025-03-11 06:58:23,604 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 10/144 +[2025-03-11 06:58:23,630 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 11/144 +[2025-03-11 06:58:23,667 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 12/144 +[2025-03-11 06:58:23,693 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 13/144 +[2025-03-11 06:58:23,720 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 14/144 +[2025-03-11 06:58:23,747 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 15/144 +[2025-03-11 06:58:23,775 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 16/144 +[2025-03-11 06:58:23,802 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 17/144 +[2025-03-11 06:58:23,829 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 18/144 +[2025-03-11 06:58:23,856 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 19/144 +[2025-03-11 06:58:23,883 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 20/144 +[2025-03-11 06:58:23,910 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 21/144 +[2025-03-11 06:58:23,938 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 22/144 +[2025-03-11 06:58:23,965 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 23/144 +[2025-03-11 06:58:23,992 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 24/144 +[2025-03-11 06:58:24,019 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 25/144 +[2025-03-11 06:58:24,045 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 26/144 +[2025-03-11 06:58:24,075 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 27/144 +[2025-03-11 06:58:24,102 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 28/144 +[2025-03-11 06:58:24,128 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 29/144 +[2025-03-11 06:58:24,164 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 30/144 +[2025-03-11 06:58:24,191 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 31/144 +[2025-03-11 06:58:24,218 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 32/144 +[2025-03-11 06:58:24,245 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 33/144 +[2025-03-11 06:58:24,272 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 34/144 +[2025-03-11 06:58:24,306 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 35/144 +[2025-03-11 06:58:24,332 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 36/144 +[2025-03-11 06:58:24,358 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 37/144 +[2025-03-11 06:58:24,385 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 38/144 +[2025-03-11 06:58:24,411 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 39/144 +[2025-03-11 06:58:24,438 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 40/144 +[2025-03-11 06:58:24,465 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 41/144 +[2025-03-11 06:58:24,492 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 42/144 +[2025-03-11 06:58:24,519 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 43/144 +[2025-03-11 06:58:24,554 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 44/144 +[2025-03-11 06:58:24,580 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 45/144 +[2025-03-11 06:58:24,606 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 46/144 +[2025-03-11 06:58:24,633 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 47/144 +[2025-03-11 06:58:24,660 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 48/144 +[2025-03-11 06:58:24,686 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 49/144 +[2025-03-11 06:58:24,713 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 50/144 +[2025-03-11 06:58:24,739 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 51/144 +[2025-03-11 06:58:24,769 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 52/144 +[2025-03-11 06:58:24,797 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 53/144 +[2025-03-11 06:58:24,823 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 54/144 +[2025-03-11 06:58:24,854 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 55/144 +[2025-03-11 06:58:24,881 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 56/144 +[2025-03-11 06:58:24,908 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 57/144 +[2025-03-11 06:58:24,935 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 58/144 +[2025-03-11 06:58:24,969 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 59/144 +[2025-03-11 06:58:24,995 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 60/144 +[2025-03-11 06:58:25,021 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 61/144 +[2025-03-11 06:58:25,046 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 62/144 +[2025-03-11 06:58:25,074 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 63/144 +[2025-03-11 06:58:25,107 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 64/144 +[2025-03-11 06:58:25,140 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 65/144 +[2025-03-11 06:58:25,168 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 66/144 +[2025-03-11 06:58:25,194 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 67/144 +[2025-03-11 06:58:25,224 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 68/144 +[2025-03-11 06:58:25,259 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 69/144 +[2025-03-11 06:58:25,285 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 70/144 +[2025-03-11 06:58:25,311 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 71/144 +[2025-03-11 06:58:25,337 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 72/144 +[2025-03-11 06:58:25,364 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 73/144 +[2025-03-11 06:58:25,390 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 74/144 +[2025-03-11 06:58:25,424 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 75/144 +[2025-03-11 06:58:25,450 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 76/144 +[2025-03-11 06:58:25,477 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 77/144 +[2025-03-11 06:58:25,503 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 78/144 +[2025-03-11 06:58:25,529 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 79/144 +[2025-03-11 06:58:25,556 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 80/144 +[2025-03-11 06:58:25,583 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 81/144 +[2025-03-11 06:58:25,609 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 82/144 +[2025-03-11 06:58:25,635 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 83/144 +[2025-03-11 06:58:25,661 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 84/144 +[2025-03-11 06:58:25,686 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 85/144 +[2025-03-11 06:58:25,712 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 86/144 +[2025-03-11 06:58:25,760 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 87/144 +[2025-03-11 06:58:25,785 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 88/144 +[2025-03-11 06:58:25,812 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 89/144 +[2025-03-11 06:58:25,838 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 90/144 +[2025-03-11 06:58:25,864 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 91/144 +[2025-03-11 06:58:25,891 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 92/144 +[2025-03-11 06:58:25,919 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 93/144 +[2025-03-11 06:58:25,945 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 94/144 +[2025-03-11 06:58:25,971 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 95/144 +[2025-03-11 06:58:25,998 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 96/144 +[2025-03-11 06:58:26,026 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 97/144 +[2025-03-11 06:58:26,053 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 98/144 +[2025-03-11 06:58:26,096 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 99/144 +[2025-03-11 06:58:26,123 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 100/144 +[2025-03-11 06:58:26,150 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 101/144 +[2025-03-11 06:58:26,178 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 102/144 +[2025-03-11 06:58:26,206 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 103/144 +[2025-03-11 06:58:26,236 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 104/144 +[2025-03-11 06:58:26,263 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 105/144 +[2025-03-11 06:58:26,291 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 106/144 +[2025-03-11 06:58:26,319 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 107/144 +[2025-03-11 06:58:26,348 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 108/144 +[2025-03-11 06:58:26,375 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 109/144 +[2025-03-11 06:58:26,402 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 110/144 +[2025-03-11 06:58:26,430 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 111/144 +[2025-03-11 06:58:26,458 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 112/144 +[2025-03-11 06:58:26,487 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 113/144 +[2025-03-11 06:58:26,515 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 114/144 +[2025-03-11 06:58:26,541 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 115/144 +[2025-03-11 06:58:26,569 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 116/144 +[2025-03-11 06:58:26,596 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 117/144 +[2025-03-11 06:58:26,622 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 118/144 +[2025-03-11 06:58:26,651 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 119/144 +[2025-03-11 06:58:26,678 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 120/144 +[2025-03-11 06:58:26,714 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 121/144 +[2025-03-11 06:58:26,738 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 122/144 +[2025-03-11 06:58:26,762 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 123/144 +[2025-03-11 06:58:26,786 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 124/144 +[2025-03-11 06:58:26,810 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 125/144 +[2025-03-11 06:58:26,834 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 126/144 +[2025-03-11 06:58:26,858 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 127/144 +[2025-03-11 06:58:26,896 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 128/144 +[2025-03-11 06:58:26,927 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 129/144 +[2025-03-11 06:58:26,959 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 130/144 +[2025-03-11 06:58:26,994 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 131/144 +[2025-03-11 06:58:27,025 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 132/144 +[2025-03-11 06:58:27,055 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 133/144 +[2025-03-11 06:58:27,086 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 134/144 +[2025-03-11 06:58:27,114 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 135/144 +[2025-03-11 06:58:27,145 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 136/144 +[2025-03-11 06:58:27,172 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 137/144 +[2025-03-11 06:58:27,198 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 138/144 +[2025-03-11 06:58:27,225 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 139/144 +[2025-03-11 06:58:27,251 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 140/144 +[2025-03-11 06:58:27,277 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 141/144 +[2025-03-11 06:58:27,315 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 142/144 +[2025-03-11 06:58:27,343 INFO test.py line 201 2389709] Test: 30/78-scene0086_01, Batch: 143/144 +[2025-03-11 06:58:27,492 INFO test.py line 291 2389709] Test: scene0086_01 [30/78]-124210 Batch 4.235 (4.455) Accuracy 0.7924 (0.3204) mIoU 0.4021 (0.2627) +[2025-03-11 06:58:28,981 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 0/138 +[2025-03-11 06:58:29,069 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 1/138 +[2025-03-11 06:58:29,132 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 2/138 +[2025-03-11 06:58:29,187 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 3/138 +[2025-03-11 06:58:29,242 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 4/138 +[2025-03-11 06:58:29,305 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 5/138 +[2025-03-11 06:58:29,360 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 6/138 +[2025-03-11 06:58:29,419 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 7/138 +[2025-03-11 06:58:29,474 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 8/138 +[2025-03-11 06:58:29,529 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 9/138 +[2025-03-11 06:58:29,584 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 10/138 +[2025-03-11 06:58:29,638 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 11/138 +[2025-03-11 06:58:29,694 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 12/138 +[2025-03-11 06:58:29,749 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 13/138 +[2025-03-11 06:58:29,805 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 14/138 +[2025-03-11 06:58:29,862 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 15/138 +[2025-03-11 06:58:29,925 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 16/138 +[2025-03-11 06:58:29,985 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 17/138 +[2025-03-11 06:58:30,045 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 18/138 +[2025-03-11 06:58:30,106 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 19/138 +[2025-03-11 06:58:30,162 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 20/138 +[2025-03-11 06:58:30,218 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 21/138 +[2025-03-11 06:58:30,274 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 22/138 +[2025-03-11 06:58:30,332 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 23/138 +[2025-03-11 06:58:30,388 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 24/138 +[2025-03-11 06:58:30,443 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 25/138 +[2025-03-11 06:58:30,497 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 26/138 +[2025-03-11 06:58:30,552 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 27/138 +[2025-03-11 06:58:30,607 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 28/138 +[2025-03-11 06:58:30,661 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 29/138 +[2025-03-11 06:58:30,715 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 30/138 +[2025-03-11 06:58:30,769 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 31/138 +[2025-03-11 06:58:30,827 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 32/138 +[2025-03-11 06:58:30,882 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 33/138 +[2025-03-11 06:58:30,937 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 34/138 +[2025-03-11 06:58:30,991 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 35/138 +[2025-03-11 06:58:31,045 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 36/138 +[2025-03-11 06:58:31,100 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 37/138 +[2025-03-11 06:58:31,156 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 38/138 +[2025-03-11 06:58:31,212 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 39/138 +[2025-03-11 06:58:31,262 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 40/138 +[2025-03-11 06:58:31,312 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 41/138 +[2025-03-11 06:58:31,362 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 42/138 +[2025-03-11 06:58:31,416 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 43/138 +[2025-03-11 06:58:31,466 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 44/138 +[2025-03-11 06:58:31,518 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 45/138 +[2025-03-11 06:58:31,570 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 46/138 +[2025-03-11 06:58:31,622 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 47/138 +[2025-03-11 06:58:31,673 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 48/138 +[2025-03-11 06:58:31,724 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 49/138 +[2025-03-11 06:58:31,775 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 50/138 +[2025-03-11 06:58:31,828 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 51/138 +[2025-03-11 06:58:31,879 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 52/138 +[2025-03-11 06:58:31,931 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 53/138 +[2025-03-11 06:58:31,981 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 54/138 +[2025-03-11 06:58:32,032 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 55/138 +[2025-03-11 06:58:32,084 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 56/138 +[2025-03-11 06:58:32,135 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 57/138 +[2025-03-11 06:58:32,187 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 58/138 +[2025-03-11 06:58:32,238 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 59/138 +[2025-03-11 06:58:32,293 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 60/138 +[2025-03-11 06:58:32,344 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 61/138 +[2025-03-11 06:58:32,395 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 62/138 +[2025-03-11 06:58:32,446 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 63/138 +[2025-03-11 06:58:32,498 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 64/138 +[2025-03-11 06:58:32,548 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 65/138 +[2025-03-11 06:58:32,600 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 66/138 +[2025-03-11 06:58:32,651 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 67/138 +[2025-03-11 06:58:32,702 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 68/138 +[2025-03-11 06:58:32,753 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 69/138 +[2025-03-11 06:58:32,805 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 70/138 +[2025-03-11 06:58:32,855 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 71/138 +[2025-03-11 06:58:32,907 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 72/138 +[2025-03-11 06:58:32,969 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 73/138 +[2025-03-11 06:58:33,020 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 74/138 +[2025-03-11 06:58:33,073 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 75/138 +[2025-03-11 06:58:33,131 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 76/138 +[2025-03-11 06:58:33,182 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 77/138 +[2025-03-11 06:58:33,233 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 78/138 +[2025-03-11 06:58:33,284 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 79/138 +[2025-03-11 06:58:33,336 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 80/138 +[2025-03-11 06:58:33,387 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 81/138 +[2025-03-11 06:58:33,438 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 82/138 +[2025-03-11 06:58:33,490 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 83/138 +[2025-03-11 06:58:33,541 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 84/138 +[2025-03-11 06:58:33,592 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 85/138 +[2025-03-11 06:58:33,644 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 86/138 +[2025-03-11 06:58:33,695 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 87/138 +[2025-03-11 06:58:33,753 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 88/138 +[2025-03-11 06:58:33,824 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 89/138 +[2025-03-11 06:58:33,887 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 90/138 +[2025-03-11 06:58:33,944 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 91/138 +[2025-03-11 06:58:34,002 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 92/138 +[2025-03-11 06:58:34,061 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 93/138 +[2025-03-11 06:58:34,120 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 94/138 +[2025-03-11 06:58:34,179 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 95/138 +[2025-03-11 06:58:34,237 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 96/138 +[2025-03-11 06:58:34,295 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 97/138 +[2025-03-11 06:58:34,354 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 98/138 +[2025-03-11 06:58:34,411 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 99/138 +[2025-03-11 06:58:34,469 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 100/138 +[2025-03-11 06:58:34,528 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 101/138 +[2025-03-11 06:58:34,586 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 102/138 +[2025-03-11 06:58:34,643 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 103/138 +[2025-03-11 06:58:34,701 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 104/138 +[2025-03-11 06:58:34,759 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 105/138 +[2025-03-11 06:58:34,816 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 106/138 +[2025-03-11 06:58:34,881 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 107/138 +[2025-03-11 06:58:34,936 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 108/138 +[2025-03-11 06:58:34,992 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 109/138 +[2025-03-11 06:58:35,047 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 110/138 +[2025-03-11 06:58:35,103 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 111/138 +[2025-03-11 06:58:35,158 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 112/138 +[2025-03-11 06:58:35,219 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 113/138 +[2025-03-11 06:58:35,275 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 114/138 +[2025-03-11 06:58:35,330 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 115/138 +[2025-03-11 06:58:35,386 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 116/138 +[2025-03-11 06:58:35,441 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 117/138 +[2025-03-11 06:58:35,497 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 118/138 +[2025-03-11 06:58:35,553 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 119/138 +[2025-03-11 06:58:35,629 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 120/138 +[2025-03-11 06:58:35,684 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 121/138 +[2025-03-11 06:58:35,739 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 122/138 +[2025-03-11 06:58:35,794 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 123/138 +[2025-03-11 06:58:35,850 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 124/138 +[2025-03-11 06:58:35,906 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 125/138 +[2025-03-11 06:58:35,961 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 126/138 +[2025-03-11 06:58:36,017 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 127/138 +[2025-03-11 06:58:36,069 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 128/138 +[2025-03-11 06:58:36,123 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 129/138 +[2025-03-11 06:58:36,176 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 130/138 +[2025-03-11 06:58:36,229 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 131/138 +[2025-03-11 06:58:36,282 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 132/138 +[2025-03-11 06:58:36,335 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 133/138 +[2025-03-11 06:58:36,389 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 134/138 +[2025-03-11 06:58:36,442 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 135/138 +[2025-03-11 06:58:36,496 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 136/138 +[2025-03-11 06:58:36,552 INFO test.py line 201 2389709] Test: 31/78-scene0500_00, Batch: 137/138 +[2025-03-11 06:58:36,894 INFO test.py line 291 2389709] Test: scene0500_00 [31/78]-396942 Batch 8.054 (4.571) Accuracy 0.9322 (0.3247) mIoU 0.3878 (0.2643) +[2025-03-11 06:58:36,993 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 0/121 +[2025-03-11 06:58:37,030 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 1/121 +[2025-03-11 06:58:37,071 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 2/121 +[2025-03-11 06:58:37,101 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 3/121 +[2025-03-11 06:58:37,131 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 4/121 +[2025-03-11 06:58:37,168 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 5/121 +[2025-03-11 06:58:37,203 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 6/121 +[2025-03-11 06:58:37,232 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 7/121 +[2025-03-11 06:58:37,263 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 8/121 +[2025-03-11 06:58:37,294 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 9/121 +[2025-03-11 06:58:37,324 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 10/121 +[2025-03-11 06:58:37,353 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 11/121 +[2025-03-11 06:58:37,383 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 12/121 +[2025-03-11 06:58:37,413 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 13/121 +[2025-03-11 06:58:37,443 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 14/121 +[2025-03-11 06:58:37,473 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 15/121 +[2025-03-11 06:58:37,505 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 16/121 +[2025-03-11 06:58:37,535 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 17/121 +[2025-03-11 06:58:37,565 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 18/121 +[2025-03-11 06:58:37,595 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 19/121 +[2025-03-11 06:58:37,628 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 20/121 +[2025-03-11 06:58:37,660 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 21/121 +[2025-03-11 06:58:37,690 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 22/121 +[2025-03-11 06:58:37,728 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 23/121 +[2025-03-11 06:58:37,760 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 24/121 +[2025-03-11 06:58:37,791 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 25/121 +[2025-03-11 06:58:37,821 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 26/121 +[2025-03-11 06:58:37,851 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 27/121 +[2025-03-11 06:58:37,881 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 28/121 +[2025-03-11 06:58:37,911 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 29/121 +[2025-03-11 06:58:37,945 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 30/121 +[2025-03-11 06:58:37,981 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 31/121 +[2025-03-11 06:58:38,024 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 32/121 +[2025-03-11 06:58:38,060 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 33/121 +[2025-03-11 06:58:38,090 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 34/121 +[2025-03-11 06:58:38,121 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 35/121 +[2025-03-11 06:58:38,153 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 36/121 +[2025-03-11 06:58:38,189 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 37/121 +[2025-03-11 06:58:38,219 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 38/121 +[2025-03-11 06:58:38,252 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 39/121 +[2025-03-11 06:58:38,297 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 40/121 +[2025-03-11 06:58:38,334 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 41/121 +[2025-03-11 06:58:38,363 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 42/121 +[2025-03-11 06:58:38,392 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 43/121 +[2025-03-11 06:58:38,424 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 44/121 +[2025-03-11 06:58:38,459 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 45/121 +[2025-03-11 06:58:38,501 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 46/121 +[2025-03-11 06:58:38,530 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 47/121 +[2025-03-11 06:58:38,559 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 48/121 +[2025-03-11 06:58:38,587 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 49/121 +[2025-03-11 06:58:38,617 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 50/121 +[2025-03-11 06:58:38,647 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 51/121 +[2025-03-11 06:58:38,697 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 52/121 +[2025-03-11 06:58:38,726 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 53/121 +[2025-03-11 06:58:38,755 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 54/121 +[2025-03-11 06:58:38,785 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 55/121 +[2025-03-11 06:58:38,813 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 56/121 +[2025-03-11 06:58:38,842 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 57/121 +[2025-03-11 06:58:38,875 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 58/121 +[2025-03-11 06:58:38,903 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 59/121 +[2025-03-11 06:58:38,932 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 60/121 +[2025-03-11 06:58:38,962 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 61/121 +[2025-03-11 06:58:38,991 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 62/121 +[2025-03-11 06:58:39,020 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 63/121 +[2025-03-11 06:58:39,050 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 64/121 +[2025-03-11 06:58:39,080 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 65/121 +[2025-03-11 06:58:39,109 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 66/121 +[2025-03-11 06:58:39,138 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 67/121 +[2025-03-11 06:58:39,167 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 68/121 +[2025-03-11 06:58:39,196 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 69/121 +[2025-03-11 06:58:39,235 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 70/121 +[2025-03-11 06:58:39,263 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 71/121 +[2025-03-11 06:58:39,293 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 72/121 +[2025-03-11 06:58:39,322 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 73/121 +[2025-03-11 06:58:39,354 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 74/121 +[2025-03-11 06:58:39,386 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 75/121 +[2025-03-11 06:58:39,422 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 76/121 +[2025-03-11 06:58:39,462 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 77/121 +[2025-03-11 06:58:39,501 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 78/121 +[2025-03-11 06:58:39,539 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 79/121 +[2025-03-11 06:58:39,578 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 80/121 +[2025-03-11 06:58:39,615 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 81/121 +[2025-03-11 06:58:39,653 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 82/121 +[2025-03-11 06:58:39,692 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 83/121 +[2025-03-11 06:58:39,734 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 84/121 +[2025-03-11 06:58:39,769 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 85/121 +[2025-03-11 06:58:39,809 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 86/121 +[2025-03-11 06:58:39,846 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 87/121 +[2025-03-11 06:58:39,886 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 88/121 +[2025-03-11 06:58:39,929 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 89/121 +[2025-03-11 06:58:39,963 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 90/121 +[2025-03-11 06:58:39,999 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 91/121 +[2025-03-11 06:58:40,034 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 92/121 +[2025-03-11 06:58:40,069 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 93/121 +[2025-03-11 06:58:40,106 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 94/121 +[2025-03-11 06:58:40,143 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 95/121 +[2025-03-11 06:58:40,178 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 96/121 +[2025-03-11 06:58:40,214 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 97/121 +[2025-03-11 06:58:40,251 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 98/121 +[2025-03-11 06:58:40,286 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 99/121 +[2025-03-11 06:58:40,322 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 100/121 +[2025-03-11 06:58:40,357 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 101/121 +[2025-03-11 06:58:40,397 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 102/121 +[2025-03-11 06:58:40,436 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 103/121 +[2025-03-11 06:58:40,483 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 104/121 +[2025-03-11 06:58:40,529 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 105/121 +[2025-03-11 06:58:40,563 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 106/121 +[2025-03-11 06:58:40,608 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 107/121 +[2025-03-11 06:58:40,652 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 108/121 +[2025-03-11 06:58:40,696 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 109/121 +[2025-03-11 06:58:40,743 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 110/121 +[2025-03-11 06:58:40,776 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 111/121 +[2025-03-11 06:58:40,811 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 112/121 +[2025-03-11 06:58:40,851 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 113/121 +[2025-03-11 06:58:40,884 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 114/121 +[2025-03-11 06:58:40,917 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 115/121 +[2025-03-11 06:58:40,950 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 116/121 +[2025-03-11 06:58:40,984 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 117/121 +[2025-03-11 06:58:41,025 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 118/121 +[2025-03-11 06:58:41,058 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 119/121 +[2025-03-11 06:58:41,091 INFO test.py line 201 2389709] Test: 32/78-scene0064_01, Batch: 120/121 +[2025-03-11 06:58:41,313 INFO test.py line 291 2389709] Test: scene0064_01 [32/78]-195252 Batch 4.418 (4.567) Accuracy 0.7715 (0.3233) mIoU 0.2848 (0.2641) +[2025-03-11 06:58:41,350 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 0/117 +[2025-03-11 06:58:41,373 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 1/117 +[2025-03-11 06:58:41,399 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 2/117 +[2025-03-11 06:58:41,421 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 3/117 +[2025-03-11 06:58:41,444 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 4/117 +[2025-03-11 06:58:41,471 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 5/117 +[2025-03-11 06:58:41,495 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 6/117 +[2025-03-11 06:58:41,517 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 7/117 +[2025-03-11 06:58:41,541 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 8/117 +[2025-03-11 06:58:41,565 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 9/117 +[2025-03-11 06:58:41,588 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 10/117 +[2025-03-11 06:58:41,612 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 11/117 +[2025-03-11 06:58:41,635 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 12/117 +[2025-03-11 06:58:41,666 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 13/117 +[2025-03-11 06:58:41,690 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 14/117 +[2025-03-11 06:58:41,715 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 15/117 +[2025-03-11 06:58:41,738 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 16/117 +[2025-03-11 06:58:41,763 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 17/117 +[2025-03-11 06:58:41,786 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 18/117 +[2025-03-11 06:58:41,809 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 19/117 +[2025-03-11 06:58:41,833 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 20/117 +[2025-03-11 06:58:41,856 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 21/117 +[2025-03-11 06:58:41,879 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 22/117 +[2025-03-11 06:58:41,903 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 23/117 +[2025-03-11 06:58:41,927 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 24/117 +[2025-03-11 06:58:41,951 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 25/117 +[2025-03-11 06:58:41,976 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 26/117 +[2025-03-11 06:58:41,999 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 27/117 +[2025-03-11 06:58:42,021 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 28/117 +[2025-03-11 06:58:42,043 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 29/117 +[2025-03-11 06:58:42,067 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 30/117 +[2025-03-11 06:58:42,090 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 31/117 +[2025-03-11 06:58:42,112 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 32/117 +[2025-03-11 06:58:42,143 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 33/117 +[2025-03-11 06:58:42,165 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 34/117 +[2025-03-11 06:58:42,195 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 35/117 +[2025-03-11 06:58:42,234 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 36/117 +[2025-03-11 06:58:42,268 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 37/117 +[2025-03-11 06:58:42,297 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 38/117 +[2025-03-11 06:58:42,323 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 39/117 +[2025-03-11 06:58:42,350 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 40/117 +[2025-03-11 06:58:42,377 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 41/117 +[2025-03-11 06:58:42,409 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 42/117 +[2025-03-11 06:58:42,438 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 43/117 +[2025-03-11 06:58:42,467 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 44/117 +[2025-03-11 06:58:42,492 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 45/117 +[2025-03-11 06:58:42,518 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 46/117 +[2025-03-11 06:58:42,546 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 47/117 +[2025-03-11 06:58:42,575 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 48/117 +[2025-03-11 06:58:42,604 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 49/117 +[2025-03-11 06:58:42,635 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 50/117 +[2025-03-11 06:58:42,664 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 51/117 +[2025-03-11 06:58:42,693 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 52/117 +[2025-03-11 06:58:42,728 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 53/117 +[2025-03-11 06:58:42,760 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 54/117 +[2025-03-11 06:58:42,784 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 55/117 +[2025-03-11 06:58:42,806 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 56/117 +[2025-03-11 06:58:42,829 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 57/117 +[2025-03-11 06:58:42,852 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 58/117 +[2025-03-11 06:58:42,876 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 59/117 +[2025-03-11 06:58:42,899 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 60/117 +[2025-03-11 06:58:42,926 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 61/117 +[2025-03-11 06:58:42,951 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 62/117 +[2025-03-11 06:58:42,975 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 63/117 +[2025-03-11 06:58:42,999 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 64/117 +[2025-03-11 06:58:43,022 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 65/117 +[2025-03-11 06:58:43,046 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 66/117 +[2025-03-11 06:58:43,069 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 67/117 +[2025-03-11 06:58:43,092 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 68/117 +[2025-03-11 06:58:43,116 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 69/117 +[2025-03-11 06:58:43,140 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 70/117 +[2025-03-11 06:58:43,164 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 71/117 +[2025-03-11 06:58:43,188 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 72/117 +[2025-03-11 06:58:43,211 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 73/117 +[2025-03-11 06:58:43,235 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 74/117 +[2025-03-11 06:58:43,259 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 75/117 +[2025-03-11 06:58:43,283 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 76/117 +[2025-03-11 06:58:43,308 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 77/117 +[2025-03-11 06:58:43,333 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 78/117 +[2025-03-11 06:58:43,362 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 79/117 +[2025-03-11 06:58:43,385 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 80/117 +[2025-03-11 06:58:43,409 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 81/117 +[2025-03-11 06:58:43,435 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 82/117 +[2025-03-11 06:58:43,459 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 83/117 +[2025-03-11 06:58:43,483 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 84/117 +[2025-03-11 06:58:43,507 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 85/117 +[2025-03-11 06:58:43,531 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 86/117 +[2025-03-11 06:58:43,554 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 87/117 +[2025-03-11 06:58:43,597 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 88/117 +[2025-03-11 06:58:43,620 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 89/117 +[2025-03-11 06:58:43,643 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 90/117 +[2025-03-11 06:58:43,666 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 91/117 +[2025-03-11 06:58:43,688 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 92/117 +[2025-03-11 06:58:43,714 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 93/117 +[2025-03-11 06:58:43,740 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 94/117 +[2025-03-11 06:58:43,764 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 95/117 +[2025-03-11 06:58:43,791 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 96/117 +[2025-03-11 06:58:43,815 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 97/117 +[2025-03-11 06:58:43,836 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 98/117 +[2025-03-11 06:58:43,866 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 99/117 +[2025-03-11 06:58:43,891 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 100/117 +[2025-03-11 06:58:43,914 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 101/117 +[2025-03-11 06:58:43,940 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 102/117 +[2025-03-11 06:58:43,964 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 103/117 +[2025-03-11 06:58:43,986 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 104/117 +[2025-03-11 06:58:44,012 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 105/117 +[2025-03-11 06:58:44,035 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 106/117 +[2025-03-11 06:58:44,058 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 107/117 +[2025-03-11 06:58:44,082 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 108/117 +[2025-03-11 06:58:44,105 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 109/117 +[2025-03-11 06:58:44,135 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 110/117 +[2025-03-11 06:58:44,158 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 111/117 +[2025-03-11 06:58:44,182 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 112/117 +[2025-03-11 06:58:44,205 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 113/117 +[2025-03-11 06:58:44,230 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 114/117 +[2025-03-11 06:58:44,253 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 115/117 +[2025-03-11 06:58:44,276 INFO test.py line 201 2389709] Test: 33/78-scene0553_01, Batch: 116/117 +[2025-03-11 06:58:44,341 INFO test.py line 291 2389709] Test: scene0553_01 [33/78]-61388 Batch 3.028 (4.520) Accuracy 0.9086 (0.3268) mIoU 0.3823 (0.2663) +[2025-03-11 06:58:44,436 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 0/138 +[2025-03-11 06:58:44,469 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 1/138 +[2025-03-11 06:58:44,501 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 2/138 +[2025-03-11 06:58:44,530 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 3/138 +[2025-03-11 06:58:44,561 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 4/138 +[2025-03-11 06:58:44,593 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 5/138 +[2025-03-11 06:58:44,624 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 6/138 +[2025-03-11 06:58:44,657 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 7/138 +[2025-03-11 06:58:44,689 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 8/138 +[2025-03-11 06:58:44,722 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 9/138 +[2025-03-11 06:58:44,752 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 10/138 +[2025-03-11 06:58:44,784 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 11/138 +[2025-03-11 06:58:44,820 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 12/138 +[2025-03-11 06:58:44,855 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 13/138 +[2025-03-11 06:58:44,887 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 14/138 +[2025-03-11 06:58:44,919 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 15/138 +[2025-03-11 06:58:44,949 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 16/138 +[2025-03-11 06:58:44,979 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 17/138 +[2025-03-11 06:58:45,010 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 18/138 +[2025-03-11 06:58:45,041 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 19/138 +[2025-03-11 06:58:45,072 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 20/138 +[2025-03-11 06:58:45,103 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 21/138 +[2025-03-11 06:58:45,135 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 22/138 +[2025-03-11 06:58:45,166 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 23/138 +[2025-03-11 06:58:45,199 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 24/138 +[2025-03-11 06:58:45,229 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 25/138 +[2025-03-11 06:58:45,260 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 26/138 +[2025-03-11 06:58:45,292 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 27/138 +[2025-03-11 06:58:45,324 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 28/138 +[2025-03-11 06:58:45,355 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 29/138 +[2025-03-11 06:58:45,390 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 30/138 +[2025-03-11 06:58:45,423 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 31/138 +[2025-03-11 06:58:45,453 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 32/138 +[2025-03-11 06:58:45,484 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 33/138 +[2025-03-11 06:58:45,518 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 34/138 +[2025-03-11 06:58:45,550 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 35/138 +[2025-03-11 06:58:45,581 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 36/138 +[2025-03-11 06:58:45,611 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 37/138 +[2025-03-11 06:58:45,642 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 38/138 +[2025-03-11 06:58:45,674 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 39/138 +[2025-03-11 06:58:45,706 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 40/138 +[2025-03-11 06:58:45,736 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 41/138 +[2025-03-11 06:58:45,767 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 42/138 +[2025-03-11 06:58:45,799 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 43/138 +[2025-03-11 06:58:45,829 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 44/138 +[2025-03-11 06:58:45,862 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 45/138 +[2025-03-11 06:58:45,893 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 46/138 +[2025-03-11 06:58:45,927 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 47/138 +[2025-03-11 06:58:45,957 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 48/138 +[2025-03-11 06:58:45,987 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 49/138 +[2025-03-11 06:58:46,017 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 50/138 +[2025-03-11 06:58:46,047 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 51/138 +[2025-03-11 06:58:46,076 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 52/138 +[2025-03-11 06:58:46,106 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 53/138 +[2025-03-11 06:58:46,135 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 54/138 +[2025-03-11 06:58:46,165 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 55/138 +[2025-03-11 06:58:46,198 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 56/138 +[2025-03-11 06:58:46,228 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 57/138 +[2025-03-11 06:58:46,258 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 58/138 +[2025-03-11 06:58:46,289 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 59/138 +[2025-03-11 06:58:46,319 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 60/138 +[2025-03-11 06:58:46,349 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 61/138 +[2025-03-11 06:58:46,378 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 62/138 +[2025-03-11 06:58:46,408 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 63/138 +[2025-03-11 06:58:46,437 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 64/138 +[2025-03-11 06:58:46,466 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 65/138 +[2025-03-11 06:58:46,496 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 66/138 +[2025-03-11 06:58:46,526 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 67/138 +[2025-03-11 06:58:46,555 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 68/138 +[2025-03-11 06:58:46,587 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 69/138 +[2025-03-11 06:58:46,617 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 70/138 +[2025-03-11 06:58:46,647 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 71/138 +[2025-03-11 06:58:46,678 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 72/138 +[2025-03-11 06:58:46,707 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 73/138 +[2025-03-11 06:58:46,736 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 74/138 +[2025-03-11 06:58:46,765 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 75/138 +[2025-03-11 06:58:46,794 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 76/138 +[2025-03-11 06:58:46,824 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 77/138 +[2025-03-11 06:58:46,853 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 78/138 +[2025-03-11 06:58:46,882 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 79/138 +[2025-03-11 06:58:46,911 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 80/138 +[2025-03-11 06:58:46,940 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 81/138 +[2025-03-11 06:58:46,973 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 82/138 +[2025-03-11 06:58:47,002 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 83/138 +[2025-03-11 06:58:47,031 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 84/138 +[2025-03-11 06:58:47,063 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 85/138 +[2025-03-11 06:58:47,098 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 86/138 +[2025-03-11 06:58:47,126 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 87/138 +[2025-03-11 06:58:47,160 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 88/138 +[2025-03-11 06:58:47,190 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 89/138 +[2025-03-11 06:58:47,221 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 90/138 +[2025-03-11 06:58:47,259 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 91/138 +[2025-03-11 06:58:47,295 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 92/138 +[2025-03-11 06:58:47,333 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 93/138 +[2025-03-11 06:58:47,370 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 94/138 +[2025-03-11 06:58:47,407 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 95/138 +[2025-03-11 06:58:47,461 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 96/138 +[2025-03-11 06:58:47,509 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 97/138 +[2025-03-11 06:58:47,557 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 98/138 +[2025-03-11 06:58:47,591 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 99/138 +[2025-03-11 06:58:47,626 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 100/138 +[2025-03-11 06:58:47,660 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 101/138 +[2025-03-11 06:58:47,695 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 102/138 +[2025-03-11 06:58:47,740 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 103/138 +[2025-03-11 06:58:47,772 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 104/138 +[2025-03-11 06:58:47,803 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 105/138 +[2025-03-11 06:58:47,836 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 106/138 +[2025-03-11 06:58:47,869 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 107/138 +[2025-03-11 06:58:47,906 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 108/138 +[2025-03-11 06:58:47,947 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 109/138 +[2025-03-11 06:58:47,998 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 110/138 +[2025-03-11 06:58:48,029 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 111/138 +[2025-03-11 06:58:48,059 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 112/138 +[2025-03-11 06:58:48,092 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 113/138 +[2025-03-11 06:58:48,128 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 114/138 +[2025-03-11 06:58:48,158 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 115/138 +[2025-03-11 06:58:48,195 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 116/138 +[2025-03-11 06:58:48,227 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 117/138 +[2025-03-11 06:58:48,267 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 118/138 +[2025-03-11 06:58:48,312 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 119/138 +[2025-03-11 06:58:48,343 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 120/138 +[2025-03-11 06:58:48,374 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 121/138 +[2025-03-11 06:58:48,406 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 122/138 +[2025-03-11 06:58:48,436 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 123/138 +[2025-03-11 06:58:48,467 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 124/138 +[2025-03-11 06:58:48,498 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 125/138 +[2025-03-11 06:58:48,534 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 126/138 +[2025-03-11 06:58:48,565 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 127/138 +[2025-03-11 06:58:48,595 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 128/138 +[2025-03-11 06:58:48,629 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 129/138 +[2025-03-11 06:58:48,660 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 130/138 +[2025-03-11 06:58:48,690 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 131/138 +[2025-03-11 06:58:48,721 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 132/138 +[2025-03-11 06:58:48,754 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 133/138 +[2025-03-11 06:58:48,784 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 134/138 +[2025-03-11 06:58:48,815 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 135/138 +[2025-03-11 06:58:48,845 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 136/138 +[2025-03-11 06:58:48,874 INFO test.py line 201 2389709] Test: 34/78-scene0462_00, Batch: 137/138 +[2025-03-11 06:58:49,051 INFO test.py line 291 2389709] Test: scene0462_00 [34/78]-156714 Batch 4.709 (4.526) Accuracy 0.8622 (0.3326) mIoU 0.4340 (0.2709) +[2025-03-11 06:58:49,091 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 0/113 +[2025-03-11 06:58:49,114 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 1/113 +[2025-03-11 06:58:49,136 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 2/113 +[2025-03-11 06:58:49,159 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 3/113 +[2025-03-11 06:58:49,195 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 4/113 +[2025-03-11 06:58:49,226 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 5/113 +[2025-03-11 06:58:49,248 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 6/113 +[2025-03-11 06:58:49,270 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 7/113 +[2025-03-11 06:58:49,299 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 8/113 +[2025-03-11 06:58:49,322 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 9/113 +[2025-03-11 06:58:49,344 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 10/113 +[2025-03-11 06:58:49,367 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 11/113 +[2025-03-11 06:58:49,391 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 12/113 +[2025-03-11 06:58:49,416 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 13/113 +[2025-03-11 06:58:49,448 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 14/113 +[2025-03-11 06:58:49,471 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 15/113 +[2025-03-11 06:58:49,494 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 16/113 +[2025-03-11 06:58:49,522 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 17/113 +[2025-03-11 06:58:49,545 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 18/113 +[2025-03-11 06:58:49,567 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 19/113 +[2025-03-11 06:58:49,590 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 20/113 +[2025-03-11 06:58:49,612 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 21/113 +[2025-03-11 06:58:49,635 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 22/113 +[2025-03-11 06:58:49,660 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 23/113 +[2025-03-11 06:58:49,684 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 24/113 +[2025-03-11 06:58:49,708 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 25/113 +[2025-03-11 06:58:49,733 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 26/113 +[2025-03-11 06:58:49,758 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 27/113 +[2025-03-11 06:58:49,782 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 28/113 +[2025-03-11 06:58:49,805 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 29/113 +[2025-03-11 06:58:49,829 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 30/113 +[2025-03-11 06:58:49,854 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 31/113 +[2025-03-11 06:58:49,907 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 32/113 +[2025-03-11 06:58:49,932 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 33/113 +[2025-03-11 06:58:49,955 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 34/113 +[2025-03-11 06:58:49,979 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 35/113 +[2025-03-11 06:58:50,003 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 36/113 +[2025-03-11 06:58:50,035 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 37/113 +[2025-03-11 06:58:50,059 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 38/113 +[2025-03-11 06:58:50,082 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 39/113 +[2025-03-11 06:58:50,108 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 40/113 +[2025-03-11 06:58:50,131 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 41/113 +[2025-03-11 06:58:50,154 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 42/113 +[2025-03-11 06:58:50,178 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 43/113 +[2025-03-11 06:58:50,202 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 44/113 +[2025-03-11 06:58:50,226 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 45/113 +[2025-03-11 06:58:50,250 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 46/113 +[2025-03-11 06:58:50,284 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 47/113 +[2025-03-11 06:58:50,321 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 48/113 +[2025-03-11 06:58:50,362 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 49/113 +[2025-03-11 06:58:50,391 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 50/113 +[2025-03-11 06:58:50,434 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 51/113 +[2025-03-11 06:58:50,456 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 52/113 +[2025-03-11 06:58:50,478 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 53/113 +[2025-03-11 06:58:50,499 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 54/113 +[2025-03-11 06:58:50,521 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 55/113 +[2025-03-11 06:58:50,555 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 56/113 +[2025-03-11 06:58:50,582 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 57/113 +[2025-03-11 06:58:50,603 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 58/113 +[2025-03-11 06:58:50,625 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 59/113 +[2025-03-11 06:58:50,656 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 60/113 +[2025-03-11 06:58:50,678 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 61/113 +[2025-03-11 06:58:50,700 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 62/113 +[2025-03-11 06:58:50,721 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 63/113 +[2025-03-11 06:58:50,743 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 64/113 +[2025-03-11 06:58:50,764 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 65/113 +[2025-03-11 06:58:50,804 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 66/113 +[2025-03-11 06:58:50,838 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 67/113 +[2025-03-11 06:58:50,868 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 68/113 +[2025-03-11 06:58:50,896 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 69/113 +[2025-03-11 06:58:50,942 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 70/113 +[2025-03-11 06:58:50,999 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 71/113 +[2025-03-11 06:58:51,037 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 72/113 +[2025-03-11 06:58:51,069 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 73/113 +[2025-03-11 06:58:51,100 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 74/113 +[2025-03-11 06:58:51,141 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 75/113 +[2025-03-11 06:58:51,178 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 76/113 +[2025-03-11 06:58:51,208 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 77/113 +[2025-03-11 06:58:51,239 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 78/113 +[2025-03-11 06:58:51,272 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 79/113 +[2025-03-11 06:58:51,302 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 80/113 +[2025-03-11 06:58:51,333 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 81/113 +[2025-03-11 06:58:51,364 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 82/113 +[2025-03-11 06:58:51,390 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 83/113 +[2025-03-11 06:58:51,419 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 84/113 +[2025-03-11 06:58:51,448 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 85/113 +[2025-03-11 06:58:51,492 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 86/113 +[2025-03-11 06:58:51,524 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 87/113 +[2025-03-11 06:58:51,550 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 88/113 +[2025-03-11 06:58:51,574 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 89/113 +[2025-03-11 06:58:51,599 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 90/113 +[2025-03-11 06:58:51,624 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 91/113 +[2025-03-11 06:58:51,651 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 92/113 +[2025-03-11 06:58:51,675 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 93/113 +[2025-03-11 06:58:51,699 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 94/113 +[2025-03-11 06:58:51,724 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 95/113 +[2025-03-11 06:58:51,748 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 96/113 +[2025-03-11 06:58:51,776 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 97/113 +[2025-03-11 06:58:51,802 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 98/113 +[2025-03-11 06:58:51,825 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 99/113 +[2025-03-11 06:58:51,854 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 100/113 +[2025-03-11 06:58:51,877 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 101/113 +[2025-03-11 06:58:51,901 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 102/113 +[2025-03-11 06:58:51,923 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 103/113 +[2025-03-11 06:58:51,945 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 104/113 +[2025-03-11 06:58:51,968 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 105/113 +[2025-03-11 06:58:51,991 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 106/113 +[2025-03-11 06:58:52,014 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 107/113 +[2025-03-11 06:58:52,037 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 108/113 +[2025-03-11 06:58:52,060 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 109/113 +[2025-03-11 06:58:52,083 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 110/113 +[2025-03-11 06:58:52,106 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 111/113 +[2025-03-11 06:58:52,131 INFO test.py line 201 2389709] Test: 35/78-scene0146_00, Batch: 112/113 +[2025-03-11 06:58:52,200 INFO test.py line 291 2389709] Test: scene0146_00 [35/78]-60438 Batch 3.148 (4.486) Accuracy 0.8483 (0.3322) mIoU 0.3285 (0.2705) +[2025-03-11 06:58:52,273 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 0/134 +[2025-03-11 06:58:52,314 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 1/134 +[2025-03-11 06:58:52,345 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 2/134 +[2025-03-11 06:58:52,401 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 3/134 +[2025-03-11 06:58:52,433 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 4/134 +[2025-03-11 06:58:52,464 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 5/134 +[2025-03-11 06:58:52,494 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 6/134 +[2025-03-11 06:58:52,531 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 7/134 +[2025-03-11 06:58:52,571 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 8/134 +[2025-03-11 06:58:52,603 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 9/134 +[2025-03-11 06:58:52,642 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 10/134 +[2025-03-11 06:58:52,673 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 11/134 +[2025-03-11 06:58:52,705 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 12/134 +[2025-03-11 06:58:52,738 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 13/134 +[2025-03-11 06:58:52,770 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 14/134 +[2025-03-11 06:58:52,802 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 15/134 +[2025-03-11 06:58:52,853 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 16/134 +[2025-03-11 06:58:52,885 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 17/134 +[2025-03-11 06:58:52,915 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 18/134 +[2025-03-11 06:58:52,946 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 19/134 +[2025-03-11 06:58:52,984 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 20/134 +[2025-03-11 06:58:53,027 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 21/134 +[2025-03-11 06:58:53,062 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 22/134 +[2025-03-11 06:58:53,108 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 23/134 +[2025-03-11 06:58:53,156 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 24/134 +[2025-03-11 06:58:53,188 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 25/134 +[2025-03-11 06:58:53,221 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 26/134 +[2025-03-11 06:58:53,278 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 27/134 +[2025-03-11 06:58:53,311 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 28/134 +[2025-03-11 06:58:53,343 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 29/134 +[2025-03-11 06:58:53,375 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 30/134 +[2025-03-11 06:58:53,407 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 31/134 +[2025-03-11 06:58:53,442 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 32/134 +[2025-03-11 06:58:53,503 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 33/134 +[2025-03-11 06:58:53,536 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 34/134 +[2025-03-11 06:58:53,568 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 35/134 +[2025-03-11 06:58:53,607 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 36/134 +[2025-03-11 06:58:53,649 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 37/134 +[2025-03-11 06:58:53,701 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 38/134 +[2025-03-11 06:58:53,735 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 39/134 +[2025-03-11 06:58:53,767 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 40/134 +[2025-03-11 06:58:53,800 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 41/134 +[2025-03-11 06:58:53,838 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 42/134 +[2025-03-11 06:58:53,870 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 43/134 +[2025-03-11 06:58:53,902 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 44/134 +[2025-03-11 06:58:53,965 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 45/134 +[2025-03-11 06:58:54,025 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 46/134 +[2025-03-11 06:58:54,055 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 47/134 +[2025-03-11 06:58:54,096 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 48/134 +[2025-03-11 06:58:54,137 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 49/134 +[2025-03-11 06:58:54,173 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 50/134 +[2025-03-11 06:58:54,209 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 51/134 +[2025-03-11 06:58:54,244 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 52/134 +[2025-03-11 06:58:54,279 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 53/134 +[2025-03-11 06:58:54,314 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 54/134 +[2025-03-11 06:58:54,349 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 55/134 +[2025-03-11 06:58:54,385 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 56/134 +[2025-03-11 06:58:54,431 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 57/134 +[2025-03-11 06:58:54,478 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 58/134 +[2025-03-11 06:58:54,522 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 59/134 +[2025-03-11 06:58:54,553 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 60/134 +[2025-03-11 06:58:54,591 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 61/134 +[2025-03-11 06:58:54,624 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 62/134 +[2025-03-11 06:58:54,666 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 63/134 +[2025-03-11 06:58:54,700 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 64/134 +[2025-03-11 06:58:54,746 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 65/134 +[2025-03-11 06:58:54,776 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 66/134 +[2025-03-11 06:58:54,817 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 67/134 +[2025-03-11 06:58:54,848 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 68/134 +[2025-03-11 06:58:54,884 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 69/134 +[2025-03-11 06:58:54,915 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 70/134 +[2025-03-11 06:58:54,945 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 71/134 +[2025-03-11 06:58:54,977 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 72/134 +[2025-03-11 06:58:55,007 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 73/134 +[2025-03-11 06:58:55,037 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 74/134 +[2025-03-11 06:58:55,068 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 75/134 +[2025-03-11 06:58:55,100 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 76/134 +[2025-03-11 06:58:55,131 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 77/134 +[2025-03-11 06:58:55,178 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 78/134 +[2025-03-11 06:58:55,213 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 79/134 +[2025-03-11 06:58:55,246 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 80/134 +[2025-03-11 06:58:55,278 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 81/134 +[2025-03-11 06:58:55,310 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 82/134 +[2025-03-11 06:58:55,341 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 83/134 +[2025-03-11 06:58:55,375 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 84/134 +[2025-03-11 06:58:55,406 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 85/134 +[2025-03-11 06:58:55,438 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 86/134 +[2025-03-11 06:58:55,474 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 87/134 +[2025-03-11 06:58:55,508 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 88/134 +[2025-03-11 06:58:55,542 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 89/134 +[2025-03-11 06:58:55,584 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 90/134 +[2025-03-11 06:58:55,617 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 91/134 +[2025-03-11 06:58:55,668 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 92/134 +[2025-03-11 06:58:55,702 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 93/134 +[2025-03-11 06:58:55,734 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 94/134 +[2025-03-11 06:58:55,766 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 95/134 +[2025-03-11 06:58:55,807 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 96/134 +[2025-03-11 06:58:55,841 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 97/134 +[2025-03-11 06:58:55,874 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 98/134 +[2025-03-11 06:58:55,906 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 99/134 +[2025-03-11 06:58:55,939 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 100/134 +[2025-03-11 06:58:55,971 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 101/134 +[2025-03-11 06:58:56,004 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 102/134 +[2025-03-11 06:58:56,042 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 103/134 +[2025-03-11 06:58:56,074 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 104/134 +[2025-03-11 06:58:56,132 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 105/134 +[2025-03-11 06:58:56,163 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 106/134 +[2025-03-11 06:58:56,196 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 107/134 +[2025-03-11 06:58:56,230 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 108/134 +[2025-03-11 06:58:56,264 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 109/134 +[2025-03-11 06:58:56,296 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 110/134 +[2025-03-11 06:58:56,329 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 111/134 +[2025-03-11 06:58:56,362 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 112/134 +[2025-03-11 06:58:56,398 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 113/134 +[2025-03-11 06:58:56,431 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 114/134 +[2025-03-11 06:58:56,466 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 115/134 +[2025-03-11 06:58:56,508 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 116/134 +[2025-03-11 06:58:56,544 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 117/134 +[2025-03-11 06:58:56,576 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 118/134 +[2025-03-11 06:58:56,609 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 119/134 +[2025-03-11 06:58:56,642 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 120/134 +[2025-03-11 06:58:56,683 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 121/134 +[2025-03-11 06:58:56,739 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 122/134 +[2025-03-11 06:58:56,771 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 123/134 +[2025-03-11 06:58:56,809 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 124/134 +[2025-03-11 06:58:56,844 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 125/134 +[2025-03-11 06:58:56,882 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 126/134 +[2025-03-11 06:58:56,916 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 127/134 +[2025-03-11 06:58:56,974 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 128/134 +[2025-03-11 06:58:57,012 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 129/134 +[2025-03-11 06:58:57,072 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 130/134 +[2025-03-11 06:58:57,102 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 131/134 +[2025-03-11 06:58:57,132 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 132/134 +[2025-03-11 06:58:57,168 INFO test.py line 201 2389709] Test: 36/78-scene0131_01, Batch: 133/134 +[2025-03-11 06:58:57,376 INFO test.py line 291 2389709] Test: scene0131_01 [36/78]-172221 Batch 5.175 (4.505) Accuracy 0.7642 (0.3388) mIoU 0.1997 (0.2708) +[2025-03-11 06:58:57,430 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 0/131 +[2025-03-11 06:58:57,483 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 1/131 +[2025-03-11 06:58:57,510 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 2/131 +[2025-03-11 06:58:57,540 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 3/131 +[2025-03-11 06:58:57,574 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 4/131 +[2025-03-11 06:58:57,637 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 5/131 +[2025-03-11 06:58:57,699 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 6/131 +[2025-03-11 06:58:57,729 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 7/131 +[2025-03-11 06:58:57,758 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 8/131 +[2025-03-11 06:58:57,793 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 9/131 +[2025-03-11 06:58:57,831 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 10/131 +[2025-03-11 06:58:57,885 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 11/131 +[2025-03-11 06:58:57,913 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 12/131 +[2025-03-11 06:58:57,968 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 13/131 +[2025-03-11 06:58:58,000 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 14/131 +[2025-03-11 06:58:58,029 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 15/131 +[2025-03-11 06:58:58,056 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 16/131 +[2025-03-11 06:58:58,092 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 17/131 +[2025-03-11 06:58:58,130 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 18/131 +[2025-03-11 06:58:58,185 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 19/131 +[2025-03-11 06:58:58,215 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 20/131 +[2025-03-11 06:58:58,244 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 21/131 +[2025-03-11 06:58:58,275 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 22/131 +[2025-03-11 06:58:58,308 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 23/131 +[2025-03-11 06:58:58,336 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 24/131 +[2025-03-11 06:58:58,390 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 25/131 +[2025-03-11 06:58:58,419 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 26/131 +[2025-03-11 06:58:58,447 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 27/131 +[2025-03-11 06:58:58,500 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 28/131 +[2025-03-11 06:58:58,528 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 29/131 +[2025-03-11 06:58:58,581 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 30/131 +[2025-03-11 06:58:58,610 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 31/131 +[2025-03-11 06:58:58,642 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 32/131 +[2025-03-11 06:58:58,701 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 33/131 +[2025-03-11 06:58:58,730 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 34/131 +[2025-03-11 06:58:58,760 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 35/131 +[2025-03-11 06:58:58,791 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 36/131 +[2025-03-11 06:58:58,840 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 37/131 +[2025-03-11 06:58:58,870 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 38/131 +[2025-03-11 06:58:58,902 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 39/131 +[2025-03-11 06:58:58,957 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 40/131 +[2025-03-11 06:58:58,988 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 41/131 +[2025-03-11 06:58:59,016 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 42/131 +[2025-03-11 06:58:59,044 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 43/131 +[2025-03-11 06:58:59,071 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 44/131 +[2025-03-11 06:58:59,099 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 45/131 +[2025-03-11 06:58:59,127 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 46/131 +[2025-03-11 06:58:59,156 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 47/131 +[2025-03-11 06:58:59,183 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 48/131 +[2025-03-11 06:58:59,210 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 49/131 +[2025-03-11 06:58:59,239 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 50/131 +[2025-03-11 06:58:59,267 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 51/131 +[2025-03-11 06:58:59,294 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 52/131 +[2025-03-11 06:58:59,324 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 53/131 +[2025-03-11 06:58:59,377 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 54/131 +[2025-03-11 06:58:59,435 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 55/131 +[2025-03-11 06:58:59,463 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 56/131 +[2025-03-11 06:58:59,490 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 57/131 +[2025-03-11 06:58:59,518 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 58/131 +[2025-03-11 06:58:59,557 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 59/131 +[2025-03-11 06:58:59,592 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 60/131 +[2025-03-11 06:58:59,635 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 61/131 +[2025-03-11 06:58:59,665 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 62/131 +[2025-03-11 06:58:59,692 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 63/131 +[2025-03-11 06:58:59,730 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 64/131 +[2025-03-11 06:58:59,783 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 65/131 +[2025-03-11 06:58:59,811 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 66/131 +[2025-03-11 06:58:59,839 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 67/131 +[2025-03-11 06:58:59,867 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 68/131 +[2025-03-11 06:58:59,923 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 69/131 +[2025-03-11 06:58:59,955 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 70/131 +[2025-03-11 06:58:59,985 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 71/131 +[2025-03-11 06:59:00,014 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 72/131 +[2025-03-11 06:59:00,041 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 73/131 +[2025-03-11 06:59:00,068 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 74/131 +[2025-03-11 06:59:00,125 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 75/131 +[2025-03-11 06:59:00,153 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 76/131 +[2025-03-11 06:59:00,179 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 77/131 +[2025-03-11 06:59:00,204 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 78/131 +[2025-03-11 06:59:00,231 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 79/131 +[2025-03-11 06:59:00,257 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 80/131 +[2025-03-11 06:59:00,284 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 81/131 +[2025-03-11 06:59:00,309 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 82/131 +[2025-03-11 06:59:00,345 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 83/131 +[2025-03-11 06:59:00,382 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 84/131 +[2025-03-11 06:59:00,418 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 85/131 +[2025-03-11 06:59:00,456 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 86/131 +[2025-03-11 06:59:00,485 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 87/131 +[2025-03-11 06:59:00,512 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 88/131 +[2025-03-11 06:59:00,540 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 89/131 +[2025-03-11 06:59:00,566 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 90/131 +[2025-03-11 06:59:00,593 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 91/131 +[2025-03-11 06:59:00,621 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 92/131 +[2025-03-11 06:59:00,649 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 93/131 +[2025-03-11 06:59:00,678 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 94/131 +[2025-03-11 06:59:00,717 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 95/131 +[2025-03-11 06:59:00,749 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 96/131 +[2025-03-11 06:59:00,795 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 97/131 +[2025-03-11 06:59:00,834 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 98/131 +[2025-03-11 06:59:00,866 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 99/131 +[2025-03-11 06:59:00,904 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 100/131 +[2025-03-11 06:59:00,939 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 101/131 +[2025-03-11 06:59:00,984 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 102/131 +[2025-03-11 06:59:01,021 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 103/131 +[2025-03-11 06:59:01,054 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 104/131 +[2025-03-11 06:59:01,087 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 105/131 +[2025-03-11 06:59:01,129 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 106/131 +[2025-03-11 06:59:01,164 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 107/131 +[2025-03-11 06:59:01,199 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 108/131 +[2025-03-11 06:59:01,234 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 109/131 +[2025-03-11 06:59:01,273 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 110/131 +[2025-03-11 06:59:01,310 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 111/131 +[2025-03-11 06:59:01,339 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 112/131 +[2025-03-11 06:59:01,378 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 113/131 +[2025-03-11 06:59:01,406 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 114/131 +[2025-03-11 06:59:01,449 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 115/131 +[2025-03-11 06:59:01,479 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 116/131 +[2025-03-11 06:59:01,509 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 117/131 +[2025-03-11 06:59:01,540 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 118/131 +[2025-03-11 06:59:01,568 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 119/131 +[2025-03-11 06:59:01,605 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 120/131 +[2025-03-11 06:59:01,659 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 121/131 +[2025-03-11 06:59:01,687 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 122/131 +[2025-03-11 06:59:01,715 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 123/131 +[2025-03-11 06:59:01,744 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 124/131 +[2025-03-11 06:59:01,776 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 125/131 +[2025-03-11 06:59:01,831 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 126/131 +[2025-03-11 06:59:01,860 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 127/131 +[2025-03-11 06:59:01,889 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 128/131 +[2025-03-11 06:59:01,918 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 129/131 +[2025-03-11 06:59:01,947 INFO test.py line 201 2389709] Test: 37/78-scene0086_00, Batch: 130/131 +[2025-03-11 06:59:02,100 INFO test.py line 291 2389709] Test: scene0086_00 [37/78]-124572 Batch 4.724 (4.511) Accuracy 0.7370 (0.3373) mIoU 0.3121 (0.2697) +[2025-03-11 06:59:02,178 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 0/113 +[2025-03-11 06:59:02,209 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 1/113 +[2025-03-11 06:59:02,246 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 2/113 +[2025-03-11 06:59:02,277 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 3/113 +[2025-03-11 06:59:02,316 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 4/113 +[2025-03-11 06:59:02,348 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 5/113 +[2025-03-11 06:59:02,385 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 6/113 +[2025-03-11 06:59:02,438 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 7/113 +[2025-03-11 06:59:02,469 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 8/113 +[2025-03-11 06:59:02,500 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 9/113 +[2025-03-11 06:59:02,531 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 10/113 +[2025-03-11 06:59:02,562 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 11/113 +[2025-03-11 06:59:02,617 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 12/113 +[2025-03-11 06:59:02,657 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 13/113 +[2025-03-11 06:59:02,713 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 14/113 +[2025-03-11 06:59:02,745 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 15/113 +[2025-03-11 06:59:02,776 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 16/113 +[2025-03-11 06:59:02,807 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 17/113 +[2025-03-11 06:59:02,838 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 18/113 +[2025-03-11 06:59:02,894 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 19/113 +[2025-03-11 06:59:02,954 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 20/113 +[2025-03-11 06:59:03,012 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 21/113 +[2025-03-11 06:59:03,043 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 22/113 +[2025-03-11 06:59:03,073 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 23/113 +[2025-03-11 06:59:03,102 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 24/113 +[2025-03-11 06:59:03,156 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 25/113 +[2025-03-11 06:59:03,186 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 26/113 +[2025-03-11 06:59:03,215 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 27/113 +[2025-03-11 06:59:03,245 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 28/113 +[2025-03-11 06:59:03,284 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 29/113 +[2025-03-11 06:59:03,339 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 30/113 +[2025-03-11 06:59:03,370 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 31/113 +[2025-03-11 06:59:03,400 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 32/113 +[2025-03-11 06:59:03,429 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 33/113 +[2025-03-11 06:59:03,484 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 34/113 +[2025-03-11 06:59:03,540 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 35/113 +[2025-03-11 06:59:03,568 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 36/113 +[2025-03-11 06:59:03,600 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 37/113 +[2025-03-11 06:59:03,640 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 38/113 +[2025-03-11 06:59:03,696 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 39/113 +[2025-03-11 06:59:03,725 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 40/113 +[2025-03-11 06:59:03,754 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 41/113 +[2025-03-11 06:59:03,809 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 42/113 +[2025-03-11 06:59:03,838 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 43/113 +[2025-03-11 06:59:03,868 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 44/113 +[2025-03-11 06:59:03,927 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 45/113 +[2025-03-11 06:59:03,955 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 46/113 +[2025-03-11 06:59:03,989 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 47/113 +[2025-03-11 06:59:04,021 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 48/113 +[2025-03-11 06:59:04,060 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 49/113 +[2025-03-11 06:59:04,089 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 50/113 +[2025-03-11 06:59:04,146 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 51/113 +[2025-03-11 06:59:04,205 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 52/113 +[2025-03-11 06:59:04,236 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 53/113 +[2025-03-11 06:59:04,266 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 54/113 +[2025-03-11 06:59:04,295 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 55/113 +[2025-03-11 06:59:04,325 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 56/113 +[2025-03-11 06:59:04,354 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 57/113 +[2025-03-11 06:59:04,383 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 58/113 +[2025-03-11 06:59:04,415 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 59/113 +[2025-03-11 06:59:04,445 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 60/113 +[2025-03-11 06:59:04,473 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 61/113 +[2025-03-11 06:59:04,515 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 62/113 +[2025-03-11 06:59:04,546 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 63/113 +[2025-03-11 06:59:04,576 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 64/113 +[2025-03-11 06:59:04,628 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 65/113 +[2025-03-11 06:59:04,673 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 66/113 +[2025-03-11 06:59:04,728 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 67/113 +[2025-03-11 06:59:04,759 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 68/113 +[2025-03-11 06:59:04,789 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 69/113 +[2025-03-11 06:59:04,819 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 70/113 +[2025-03-11 06:59:04,850 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 71/113 +[2025-03-11 06:59:04,889 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 72/113 +[2025-03-11 06:59:04,927 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 73/113 +[2025-03-11 06:59:04,957 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 74/113 +[2025-03-11 06:59:04,996 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 75/113 +[2025-03-11 06:59:05,039 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 76/113 +[2025-03-11 06:59:05,071 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 77/113 +[2025-03-11 06:59:05,104 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 78/113 +[2025-03-11 06:59:05,144 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 79/113 +[2025-03-11 06:59:05,177 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 80/113 +[2025-03-11 06:59:05,236 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 81/113 +[2025-03-11 06:59:05,268 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 82/113 +[2025-03-11 06:59:05,299 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 83/113 +[2025-03-11 06:59:05,336 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 84/113 +[2025-03-11 06:59:05,399 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 85/113 +[2025-03-11 06:59:05,432 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 86/113 +[2025-03-11 06:59:05,464 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 87/113 +[2025-03-11 06:59:05,496 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 88/113 +[2025-03-11 06:59:05,527 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 89/113 +[2025-03-11 06:59:05,594 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 90/113 +[2025-03-11 06:59:05,624 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 91/113 +[2025-03-11 06:59:05,656 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 92/113 +[2025-03-11 06:59:05,694 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 93/113 +[2025-03-11 06:59:05,725 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 94/113 +[2025-03-11 06:59:05,758 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 95/113 +[2025-03-11 06:59:05,791 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 96/113 +[2025-03-11 06:59:05,850 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 97/113 +[2025-03-11 06:59:05,883 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 98/113 +[2025-03-11 06:59:05,943 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 99/113 +[2025-03-11 06:59:05,989 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 100/113 +[2025-03-11 06:59:06,025 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 101/113 +[2025-03-11 06:59:06,065 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 102/113 +[2025-03-11 06:59:06,095 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 103/113 +[2025-03-11 06:59:06,125 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 104/113 +[2025-03-11 06:59:06,179 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 105/113 +[2025-03-11 06:59:06,209 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 106/113 +[2025-03-11 06:59:06,241 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 107/113 +[2025-03-11 06:59:06,272 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 108/113 +[2025-03-11 06:59:06,302 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 109/113 +[2025-03-11 06:59:06,332 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 110/113 +[2025-03-11 06:59:06,369 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 111/113 +[2025-03-11 06:59:06,398 INFO test.py line 201 2389709] Test: 38/78-scene0196_00, Batch: 112/113 +[2025-03-11 06:59:06,567 INFO test.py line 291 2389709] Test: scene0196_00 [38/78]-146032 Batch 4.467 (4.510) Accuracy 0.8932 (0.3374) mIoU 0.5162 (0.2697) +[2025-03-11 06:59:06,649 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 0/129 +[2025-03-11 06:59:06,684 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 1/129 +[2025-03-11 06:59:06,719 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 2/129 +[2025-03-11 06:59:06,760 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 3/129 +[2025-03-11 06:59:06,795 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 4/129 +[2025-03-11 06:59:06,831 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 5/129 +[2025-03-11 06:59:06,867 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 6/129 +[2025-03-11 06:59:06,903 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 7/129 +[2025-03-11 06:59:06,940 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 8/129 +[2025-03-11 06:59:06,982 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 9/129 +[2025-03-11 06:59:07,019 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 10/129 +[2025-03-11 06:59:07,066 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 11/129 +[2025-03-11 06:59:07,101 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 12/129 +[2025-03-11 06:59:07,136 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 13/129 +[2025-03-11 06:59:07,171 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 14/129 +[2025-03-11 06:59:07,208 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 15/129 +[2025-03-11 06:59:07,244 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 16/129 +[2025-03-11 06:59:07,286 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 17/129 +[2025-03-11 06:59:07,323 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 18/129 +[2025-03-11 06:59:07,363 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 19/129 +[2025-03-11 06:59:07,399 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 20/129 +[2025-03-11 06:59:07,434 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 21/129 +[2025-03-11 06:59:07,468 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 22/129 +[2025-03-11 06:59:07,504 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 23/129 +[2025-03-11 06:59:07,541 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 24/129 +[2025-03-11 06:59:07,581 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 25/129 +[2025-03-11 06:59:07,617 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 26/129 +[2025-03-11 06:59:07,661 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 27/129 +[2025-03-11 06:59:07,700 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 28/129 +[2025-03-11 06:59:07,735 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 29/129 +[2025-03-11 06:59:07,770 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 30/129 +[2025-03-11 06:59:07,807 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 31/129 +[2025-03-11 06:59:07,846 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 32/129 +[2025-03-11 06:59:07,882 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 33/129 +[2025-03-11 06:59:07,920 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 34/129 +[2025-03-11 06:59:07,956 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 35/129 +[2025-03-11 06:59:07,998 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 36/129 +[2025-03-11 06:59:08,037 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 37/129 +[2025-03-11 06:59:08,078 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 38/129 +[2025-03-11 06:59:08,116 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 39/129 +[2025-03-11 06:59:08,154 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 40/129 +[2025-03-11 06:59:08,195 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 41/129 +[2025-03-11 06:59:08,237 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 42/129 +[2025-03-11 06:59:08,278 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 43/129 +[2025-03-11 06:59:08,324 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 44/129 +[2025-03-11 06:59:08,368 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 45/129 +[2025-03-11 06:59:08,407 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 46/129 +[2025-03-11 06:59:08,445 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 47/129 +[2025-03-11 06:59:08,487 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 48/129 +[2025-03-11 06:59:08,529 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 49/129 +[2025-03-11 06:59:08,568 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 50/129 +[2025-03-11 06:59:08,609 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 51/129 +[2025-03-11 06:59:08,652 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 52/129 +[2025-03-11 06:59:08,687 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 53/129 +[2025-03-11 06:59:08,721 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 54/129 +[2025-03-11 06:59:08,757 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 55/129 +[2025-03-11 06:59:08,795 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 56/129 +[2025-03-11 06:59:08,830 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 57/129 +[2025-03-11 06:59:08,864 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 58/129 +[2025-03-11 06:59:08,899 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 59/129 +[2025-03-11 06:59:08,933 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 60/129 +[2025-03-11 06:59:08,967 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 61/129 +[2025-03-11 06:59:09,009 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 62/129 +[2025-03-11 06:59:09,175 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 63/129 +[2025-03-11 06:59:09,279 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 64/129 +[2025-03-11 06:59:09,323 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 65/129 +[2025-03-11 06:59:09,363 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 66/129 +[2025-03-11 06:59:09,405 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 67/129 +[2025-03-11 06:59:09,441 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 68/129 +[2025-03-11 06:59:09,475 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 69/129 +[2025-03-11 06:59:09,510 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 70/129 +[2025-03-11 06:59:09,566 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 71/129 +[2025-03-11 06:59:09,612 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 72/129 +[2025-03-11 06:59:09,660 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 73/129 +[2025-03-11 06:59:09,694 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 74/129 +[2025-03-11 06:59:09,728 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 75/129 +[2025-03-11 06:59:09,763 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 76/129 +[2025-03-11 06:59:09,807 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 77/129 +[2025-03-11 06:59:09,851 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 78/129 +[2025-03-11 06:59:09,888 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 79/129 +[2025-03-11 06:59:09,939 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 80/129 +[2025-03-11 06:59:09,977 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 81/129 +[2025-03-11 06:59:10,023 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 82/129 +[2025-03-11 06:59:10,059 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 83/129 +[2025-03-11 06:59:10,096 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 84/129 +[2025-03-11 06:59:10,133 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 85/129 +[2025-03-11 06:59:10,171 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 86/129 +[2025-03-11 06:59:10,207 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 87/129 +[2025-03-11 06:59:10,249 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 88/129 +[2025-03-11 06:59:10,285 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 89/129 +[2025-03-11 06:59:10,330 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 90/129 +[2025-03-11 06:59:10,368 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 91/129 +[2025-03-11 06:59:10,420 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 92/129 +[2025-03-11 06:59:10,466 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 93/129 +[2025-03-11 06:59:10,512 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 94/129 +[2025-03-11 06:59:10,550 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 95/129 +[2025-03-11 06:59:10,590 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 96/129 +[2025-03-11 06:59:10,631 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 97/129 +[2025-03-11 06:59:10,671 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 98/129 +[2025-03-11 06:59:10,710 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 99/129 +[2025-03-11 06:59:10,757 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 100/129 +[2025-03-11 06:59:10,796 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 101/129 +[2025-03-11 06:59:10,836 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 102/129 +[2025-03-11 06:59:10,877 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 103/129 +[2025-03-11 06:59:10,916 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 104/129 +[2025-03-11 06:59:10,952 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 105/129 +[2025-03-11 06:59:10,990 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 106/129 +[2025-03-11 06:59:11,031 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 107/129 +[2025-03-11 06:59:11,068 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 108/129 +[2025-03-11 06:59:11,105 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 109/129 +[2025-03-11 06:59:11,160 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 110/129 +[2025-03-11 06:59:11,215 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 111/129 +[2025-03-11 06:59:11,301 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 112/129 +[2025-03-11 06:59:11,424 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 113/129 +[2025-03-11 06:59:11,589 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 114/129 +[2025-03-11 06:59:11,656 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 115/129 +[2025-03-11 06:59:11,697 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 116/129 +[2025-03-11 06:59:11,734 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 117/129 +[2025-03-11 06:59:11,771 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 118/129 +[2025-03-11 06:59:11,808 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 119/129 +[2025-03-11 06:59:11,844 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 120/129 +[2025-03-11 06:59:11,879 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 121/129 +[2025-03-11 06:59:11,915 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 122/129 +[2025-03-11 06:59:11,951 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 123/129 +[2025-03-11 06:59:11,986 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 124/129 +[2025-03-11 06:59:12,021 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 125/129 +[2025-03-11 06:59:12,057 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 126/129 +[2025-03-11 06:59:12,092 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 127/129 +[2025-03-11 06:59:12,127 INFO test.py line 201 2389709] Test: 39/78-scene0050_00, Batch: 128/129 +[2025-03-11 06:59:12,378 INFO test.py line 291 2389709] Test: scene0050_00 [39/78]-211406 Batch 5.810 (4.543) Accuracy 0.7335 (0.3395) mIoU 0.2945 (0.2719) +[2025-03-11 06:59:12,502 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 0/138 +[2025-03-11 06:59:12,547 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 1/138 +[2025-03-11 06:59:12,591 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 2/138 +[2025-03-11 06:59:12,636 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 3/138 +[2025-03-11 06:59:12,681 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 4/138 +[2025-03-11 06:59:12,726 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 5/138 +[2025-03-11 06:59:12,770 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 6/138 +[2025-03-11 06:59:12,815 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 7/138 +[2025-03-11 06:59:12,859 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 8/138 +[2025-03-11 06:59:12,903 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 9/138 +[2025-03-11 06:59:12,947 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 10/138 +[2025-03-11 06:59:12,991 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 11/138 +[2025-03-11 06:59:13,036 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 12/138 +[2025-03-11 06:59:13,081 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 13/138 +[2025-03-11 06:59:13,125 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 14/138 +[2025-03-11 06:59:13,169 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 15/138 +[2025-03-11 06:59:13,214 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 16/138 +[2025-03-11 06:59:13,259 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 17/138 +[2025-03-11 06:59:13,303 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 18/138 +[2025-03-11 06:59:13,346 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 19/138 +[2025-03-11 06:59:13,389 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 20/138 +[2025-03-11 06:59:13,434 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 21/138 +[2025-03-11 06:59:13,478 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 22/138 +[2025-03-11 06:59:13,522 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 23/138 +[2025-03-11 06:59:13,566 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 24/138 +[2025-03-11 06:59:13,610 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 25/138 +[2025-03-11 06:59:13,653 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 26/138 +[2025-03-11 06:59:13,699 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 27/138 +[2025-03-11 06:59:13,749 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 28/138 +[2025-03-11 06:59:13,802 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 29/138 +[2025-03-11 06:59:14,008 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 30/138 +[2025-03-11 06:59:14,066 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 31/138 +[2025-03-11 06:59:14,122 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 32/138 +[2025-03-11 06:59:14,179 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 33/138 +[2025-03-11 06:59:14,229 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 34/138 +[2025-03-11 06:59:14,280 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 35/138 +[2025-03-11 06:59:14,332 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 36/138 +[2025-03-11 06:59:14,382 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 37/138 +[2025-03-11 06:59:14,430 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 38/138 +[2025-03-11 06:59:14,475 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 39/138 +[2025-03-11 06:59:14,519 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 40/138 +[2025-03-11 06:59:14,582 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 41/138 +[2025-03-11 06:59:14,627 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 42/138 +[2025-03-11 06:59:14,684 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 43/138 +[2025-03-11 06:59:14,754 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 44/138 +[2025-03-11 06:59:14,798 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 45/138 +[2025-03-11 06:59:14,842 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 46/138 +[2025-03-11 06:59:14,888 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 47/138 +[2025-03-11 06:59:14,932 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 48/138 +[2025-03-11 06:59:14,974 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 49/138 +[2025-03-11 06:59:15,024 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 50/138 +[2025-03-11 06:59:15,068 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 51/138 +[2025-03-11 06:59:15,118 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 52/138 +[2025-03-11 06:59:15,161 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 53/138 +[2025-03-11 06:59:15,213 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 54/138 +[2025-03-11 06:59:15,259 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 55/138 +[2025-03-11 06:59:15,315 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 56/138 +[2025-03-11 06:59:15,357 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 57/138 +[2025-03-11 06:59:15,426 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 58/138 +[2025-03-11 06:59:15,467 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 59/138 +[2025-03-11 06:59:15,509 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 60/138 +[2025-03-11 06:59:15,552 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 61/138 +[2025-03-11 06:59:15,594 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 62/138 +[2025-03-11 06:59:15,652 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 63/138 +[2025-03-11 06:59:15,695 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 64/138 +[2025-03-11 06:59:15,737 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 65/138 +[2025-03-11 06:59:15,786 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 66/138 +[2025-03-11 06:59:15,847 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 67/138 +[2025-03-11 06:59:15,890 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 68/138 +[2025-03-11 06:59:15,933 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 69/138 +[2025-03-11 06:59:15,983 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 70/138 +[2025-03-11 06:59:16,051 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 71/138 +[2025-03-11 06:59:16,093 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 72/138 +[2025-03-11 06:59:16,137 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 73/138 +[2025-03-11 06:59:16,180 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 74/138 +[2025-03-11 06:59:16,222 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 75/138 +[2025-03-11 06:59:16,263 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 76/138 +[2025-03-11 06:59:16,308 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 77/138 +[2025-03-11 06:59:16,356 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 78/138 +[2025-03-11 06:59:16,396 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 79/138 +[2025-03-11 06:59:16,438 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 80/138 +[2025-03-11 06:59:16,479 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 81/138 +[2025-03-11 06:59:16,521 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 82/138 +[2025-03-11 06:59:16,564 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 83/138 +[2025-03-11 06:59:16,610 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 84/138 +[2025-03-11 06:59:16,655 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 85/138 +[2025-03-11 06:59:16,700 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 86/138 +[2025-03-11 06:59:16,746 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 87/138 +[2025-03-11 06:59:16,791 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 88/138 +[2025-03-11 06:59:16,836 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 89/138 +[2025-03-11 06:59:16,883 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 90/138 +[2025-03-11 06:59:16,930 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 91/138 +[2025-03-11 06:59:16,977 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 92/138 +[2025-03-11 06:59:17,023 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 93/138 +[2025-03-11 06:59:17,070 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 94/138 +[2025-03-11 06:59:17,143 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 95/138 +[2025-03-11 06:59:17,190 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 96/138 +[2025-03-11 06:59:17,239 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 97/138 +[2025-03-11 06:59:17,287 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 98/138 +[2025-03-11 06:59:17,335 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 99/138 +[2025-03-11 06:59:17,383 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 100/138 +[2025-03-11 06:59:17,431 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 101/138 +[2025-03-11 06:59:17,479 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 102/138 +[2025-03-11 06:59:17,527 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 103/138 +[2025-03-11 06:59:17,574 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 104/138 +[2025-03-11 06:59:17,627 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 105/138 +[2025-03-11 06:59:17,674 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 106/138 +[2025-03-11 06:59:17,733 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 107/138 +[2025-03-11 06:59:17,780 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 108/138 +[2025-03-11 06:59:17,825 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 109/138 +[2025-03-11 06:59:17,882 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 110/138 +[2025-03-11 06:59:17,943 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 111/138 +[2025-03-11 06:59:17,989 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 112/138 +[2025-03-11 06:59:18,058 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 113/138 +[2025-03-11 06:59:18,105 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 114/138 +[2025-03-11 06:59:18,152 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 115/138 +[2025-03-11 06:59:18,201 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 116/138 +[2025-03-11 06:59:18,249 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 117/138 +[2025-03-11 06:59:18,296 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 118/138 +[2025-03-11 06:59:18,342 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 119/138 +[2025-03-11 06:59:18,389 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 120/138 +[2025-03-11 06:59:18,436 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 121/138 +[2025-03-11 06:59:18,483 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 122/138 +[2025-03-11 06:59:18,542 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 123/138 +[2025-03-11 06:59:18,592 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 124/138 +[2025-03-11 06:59:18,638 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 125/138 +[2025-03-11 06:59:18,686 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 126/138 +[2025-03-11 06:59:18,733 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 127/138 +[2025-03-11 06:59:18,777 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 128/138 +[2025-03-11 06:59:18,822 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 129/138 +[2025-03-11 06:59:18,867 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 130/138 +[2025-03-11 06:59:18,910 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 131/138 +[2025-03-11 06:59:18,954 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 132/138 +[2025-03-11 06:59:19,002 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 133/138 +[2025-03-11 06:59:19,046 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 134/138 +[2025-03-11 06:59:19,089 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 135/138 +[2025-03-11 06:59:19,133 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 136/138 +[2025-03-11 06:59:19,178 INFO test.py line 201 2389709] Test: 40/78-scene0616_00, Batch: 137/138 +[2025-03-11 06:59:19,600 INFO test.py line 291 2389709] Test: scene0616_00 [40/78]-310248 Batch 7.222 (4.610) Accuracy 0.8387 (0.3496) mIoU 0.5119 (0.2823) +[2025-03-11 06:59:19,699 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 0/142 +[2025-03-11 06:59:19,738 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 1/142 +[2025-03-11 06:59:19,776 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 2/142 +[2025-03-11 06:59:19,814 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 3/142 +[2025-03-11 06:59:19,853 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 4/142 +[2025-03-11 06:59:19,904 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 5/142 +[2025-03-11 06:59:19,941 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 6/142 +[2025-03-11 06:59:19,978 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 7/142 +[2025-03-11 06:59:20,020 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 8/142 +[2025-03-11 06:59:20,057 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 9/142 +[2025-03-11 06:59:20,094 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 10/142 +[2025-03-11 06:59:20,132 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 11/142 +[2025-03-11 06:59:20,167 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 12/142 +[2025-03-11 06:59:20,203 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 13/142 +[2025-03-11 06:59:20,275 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 14/142 +[2025-03-11 06:59:20,320 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 15/142 +[2025-03-11 06:59:20,366 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 16/142 +[2025-03-11 06:59:20,409 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 17/142 +[2025-03-11 06:59:20,458 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 18/142 +[2025-03-11 06:59:20,520 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 19/142 +[2025-03-11 06:59:20,576 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 20/142 +[2025-03-11 06:59:20,624 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 21/142 +[2025-03-11 06:59:20,662 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 22/142 +[2025-03-11 06:59:20,702 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 23/142 +[2025-03-11 06:59:20,740 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 24/142 +[2025-03-11 06:59:20,778 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 25/142 +[2025-03-11 06:59:20,816 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 26/142 +[2025-03-11 06:59:20,853 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 27/142 +[2025-03-11 06:59:20,890 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 28/142 +[2025-03-11 06:59:20,927 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 29/142 +[2025-03-11 06:59:20,963 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 30/142 +[2025-03-11 06:59:21,000 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 31/142 +[2025-03-11 06:59:21,037 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 32/142 +[2025-03-11 06:59:21,074 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 33/142 +[2025-03-11 06:59:21,110 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 34/142 +[2025-03-11 06:59:21,145 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 35/142 +[2025-03-11 06:59:21,182 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 36/142 +[2025-03-11 06:59:21,219 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 37/142 +[2025-03-11 06:59:21,255 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 38/142 +[2025-03-11 06:59:21,297 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 39/142 +[2025-03-11 06:59:21,331 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 40/142 +[2025-03-11 06:59:21,368 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 41/142 +[2025-03-11 06:59:21,403 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 42/142 +[2025-03-11 06:59:21,438 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 43/142 +[2025-03-11 06:59:21,497 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 44/142 +[2025-03-11 06:59:21,531 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 45/142 +[2025-03-11 06:59:21,566 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 46/142 +[2025-03-11 06:59:21,601 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 47/142 +[2025-03-11 06:59:21,636 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 48/142 +[2025-03-11 06:59:21,670 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 49/142 +[2025-03-11 06:59:21,704 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 50/142 +[2025-03-11 06:59:21,737 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 51/142 +[2025-03-11 06:59:21,770 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 52/142 +[2025-03-11 06:59:21,805 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 53/142 +[2025-03-11 06:59:21,838 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 54/142 +[2025-03-11 06:59:21,883 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 55/142 +[2025-03-11 06:59:21,917 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 56/142 +[2025-03-11 06:59:21,952 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 57/142 +[2025-03-11 06:59:21,996 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 58/142 +[2025-03-11 06:59:22,031 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 59/142 +[2025-03-11 06:59:22,065 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 60/142 +[2025-03-11 06:59:22,101 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 61/142 +[2025-03-11 06:59:22,140 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 62/142 +[2025-03-11 06:59:22,176 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 63/142 +[2025-03-11 06:59:22,213 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 64/142 +[2025-03-11 06:59:22,249 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 65/142 +[2025-03-11 06:59:22,282 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 66/142 +[2025-03-11 06:59:22,318 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 67/142 +[2025-03-11 06:59:22,353 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 68/142 +[2025-03-11 06:59:22,388 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 69/142 +[2025-03-11 06:59:22,421 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 70/142 +[2025-03-11 06:59:22,455 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 71/142 +[2025-03-11 06:59:22,492 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 72/142 +[2025-03-11 06:59:22,526 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 73/142 +[2025-03-11 06:59:22,559 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 74/142 +[2025-03-11 06:59:22,591 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 75/142 +[2025-03-11 06:59:22,625 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 76/142 +[2025-03-11 06:59:22,658 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 77/142 +[2025-03-11 06:59:22,692 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 78/142 +[2025-03-11 06:59:22,725 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 79/142 +[2025-03-11 06:59:22,759 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 80/142 +[2025-03-11 06:59:22,793 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 81/142 +[2025-03-11 06:59:22,827 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 82/142 +[2025-03-11 06:59:22,862 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 83/142 +[2025-03-11 06:59:22,897 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 84/142 +[2025-03-11 06:59:22,932 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 85/142 +[2025-03-11 06:59:22,967 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 86/142 +[2025-03-11 06:59:23,000 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 87/142 +[2025-03-11 06:59:23,037 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 88/142 +[2025-03-11 06:59:23,073 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 89/142 +[2025-03-11 06:59:23,109 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 90/142 +[2025-03-11 06:59:23,145 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 91/142 +[2025-03-11 06:59:23,180 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 92/142 +[2025-03-11 06:59:23,215 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 93/142 +[2025-03-11 06:59:23,250 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 94/142 +[2025-03-11 06:59:23,286 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 95/142 +[2025-03-11 06:59:23,323 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 96/142 +[2025-03-11 06:59:23,357 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 97/142 +[2025-03-11 06:59:23,393 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 98/142 +[2025-03-11 06:59:23,430 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 99/142 +[2025-03-11 06:59:23,466 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 100/142 +[2025-03-11 06:59:23,501 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 101/142 +[2025-03-11 06:59:23,536 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 102/142 +[2025-03-11 06:59:23,572 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 103/142 +[2025-03-11 06:59:23,608 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 104/142 +[2025-03-11 06:59:23,645 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 105/142 +[2025-03-11 06:59:23,681 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 106/142 +[2025-03-11 06:59:23,716 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 107/142 +[2025-03-11 06:59:23,752 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 108/142 +[2025-03-11 06:59:23,788 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 109/142 +[2025-03-11 06:59:23,825 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 110/142 +[2025-03-11 06:59:23,861 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 111/142 +[2025-03-11 06:59:23,903 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 112/142 +[2025-03-11 06:59:23,939 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 113/142 +[2025-03-11 06:59:23,976 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 114/142 +[2025-03-11 06:59:24,014 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 115/142 +[2025-03-11 06:59:24,049 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 116/142 +[2025-03-11 06:59:24,085 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 117/142 +[2025-03-11 06:59:24,121 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 118/142 +[2025-03-11 06:59:24,157 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 119/142 +[2025-03-11 06:59:24,194 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 120/142 +[2025-03-11 06:59:24,231 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 121/142 +[2025-03-11 06:59:24,296 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 122/142 +[2025-03-11 06:59:24,332 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 123/142 +[2025-03-11 06:59:24,393 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 124/142 +[2025-03-11 06:59:24,430 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 125/142 +[2025-03-11 06:59:24,467 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 126/142 +[2025-03-11 06:59:24,502 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 127/142 +[2025-03-11 06:59:24,537 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 128/142 +[2025-03-11 06:59:24,572 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 129/142 +[2025-03-11 06:59:24,607 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 130/142 +[2025-03-11 06:59:24,644 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 131/142 +[2025-03-11 06:59:24,681 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 132/142 +[2025-03-11 06:59:24,716 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 133/142 +[2025-03-11 06:59:24,749 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 134/142 +[2025-03-11 06:59:24,784 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 135/142 +[2025-03-11 06:59:24,819 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 136/142 +[2025-03-11 06:59:24,855 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 137/142 +[2025-03-11 06:59:24,888 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 138/142 +[2025-03-11 06:59:24,922 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 139/142 +[2025-03-11 06:59:24,958 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 140/142 +[2025-03-11 06:59:24,993 INFO test.py line 201 2389709] Test: 41/78-scene0095_00, Batch: 141/142 +[2025-03-11 06:59:25,247 INFO test.py line 291 2389709] Test: scene0095_00 [41/78]-214895 Batch 5.647 (4.636) Accuracy 0.8767 (0.3471) mIoU 0.3834 (0.2808) +[2025-03-11 06:59:25,298 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 0/139 +[2025-03-11 06:59:25,331 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 1/139 +[2025-03-11 06:59:25,357 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 2/139 +[2025-03-11 06:59:25,382 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 3/139 +[2025-03-11 06:59:25,407 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 4/139 +[2025-03-11 06:59:25,433 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 5/139 +[2025-03-11 06:59:25,458 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 6/139 +[2025-03-11 06:59:25,484 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 7/139 +[2025-03-11 06:59:25,510 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 8/139 +[2025-03-11 06:59:25,536 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 9/139 +[2025-03-11 06:59:25,561 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 10/139 +[2025-03-11 06:59:25,590 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 11/139 +[2025-03-11 06:59:25,614 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 12/139 +[2025-03-11 06:59:25,638 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 13/139 +[2025-03-11 06:59:25,663 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 14/139 +[2025-03-11 06:59:25,688 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 15/139 +[2025-03-11 06:59:25,713 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 16/139 +[2025-03-11 06:59:25,738 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 17/139 +[2025-03-11 06:59:25,764 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 18/139 +[2025-03-11 06:59:25,791 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 19/139 +[2025-03-11 06:59:25,814 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 20/139 +[2025-03-11 06:59:25,838 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 21/139 +[2025-03-11 06:59:25,863 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 22/139 +[2025-03-11 06:59:25,887 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 23/139 +[2025-03-11 06:59:25,912 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 24/139 +[2025-03-11 06:59:25,937 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 25/139 +[2025-03-11 06:59:25,962 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 26/139 +[2025-03-11 06:59:25,987 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 27/139 +[2025-03-11 06:59:26,013 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 28/139 +[2025-03-11 06:59:26,039 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 29/139 +[2025-03-11 06:59:26,063 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 30/139 +[2025-03-11 06:59:26,088 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 31/139 +[2025-03-11 06:59:26,112 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 32/139 +[2025-03-11 06:59:26,137 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 33/139 +[2025-03-11 06:59:26,161 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 34/139 +[2025-03-11 06:59:26,185 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 35/139 +[2025-03-11 06:59:26,210 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 36/139 +[2025-03-11 06:59:26,235 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 37/139 +[2025-03-11 06:59:26,261 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 38/139 +[2025-03-11 06:59:26,287 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 39/139 +[2025-03-11 06:59:26,312 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 40/139 +[2025-03-11 06:59:26,336 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 41/139 +[2025-03-11 06:59:26,362 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 42/139 +[2025-03-11 06:59:26,387 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 43/139 +[2025-03-11 06:59:26,412 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 44/139 +[2025-03-11 06:59:26,437 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 45/139 +[2025-03-11 06:59:26,475 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 46/139 +[2025-03-11 06:59:26,498 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 47/139 +[2025-03-11 06:59:26,522 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 48/139 +[2025-03-11 06:59:26,548 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 49/139 +[2025-03-11 06:59:26,574 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 50/139 +[2025-03-11 06:59:26,600 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 51/139 +[2025-03-11 06:59:26,626 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 52/139 +[2025-03-11 06:59:26,649 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 53/139 +[2025-03-11 06:59:26,674 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 54/139 +[2025-03-11 06:59:26,698 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 55/139 +[2025-03-11 06:59:26,721 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 56/139 +[2025-03-11 06:59:26,744 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 57/139 +[2025-03-11 06:59:26,769 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 58/139 +[2025-03-11 06:59:26,793 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 59/139 +[2025-03-11 06:59:26,818 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 60/139 +[2025-03-11 06:59:26,842 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 61/139 +[2025-03-11 06:59:26,866 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 62/139 +[2025-03-11 06:59:26,890 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 63/139 +[2025-03-11 06:59:26,915 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 64/139 +[2025-03-11 06:59:26,939 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 65/139 +[2025-03-11 06:59:26,963 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 66/139 +[2025-03-11 06:59:26,988 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 67/139 +[2025-03-11 06:59:27,012 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 68/139 +[2025-03-11 06:59:27,038 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 69/139 +[2025-03-11 06:59:27,063 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 70/139 +[2025-03-11 06:59:27,088 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 71/139 +[2025-03-11 06:59:27,114 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 72/139 +[2025-03-11 06:59:27,139 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 73/139 +[2025-03-11 06:59:27,163 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 74/139 +[2025-03-11 06:59:27,187 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 75/139 +[2025-03-11 06:59:27,212 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 76/139 +[2025-03-11 06:59:27,236 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 77/139 +[2025-03-11 06:59:27,261 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 78/139 +[2025-03-11 06:59:27,284 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 79/139 +[2025-03-11 06:59:27,316 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 80/139 +[2025-03-11 06:59:27,342 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 81/139 +[2025-03-11 06:59:27,367 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 82/139 +[2025-03-11 06:59:27,396 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 83/139 +[2025-03-11 06:59:27,422 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 84/139 +[2025-03-11 06:59:27,447 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 85/139 +[2025-03-11 06:59:27,472 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 86/139 +[2025-03-11 06:59:27,496 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 87/139 +[2025-03-11 06:59:27,520 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 88/139 +[2025-03-11 06:59:27,545 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 89/139 +[2025-03-11 06:59:27,569 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 90/139 +[2025-03-11 06:59:27,596 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 91/139 +[2025-03-11 06:59:27,621 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 92/139 +[2025-03-11 06:59:27,646 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 93/139 +[2025-03-11 06:59:27,669 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 94/139 +[2025-03-11 06:59:27,695 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 95/139 +[2025-03-11 06:59:27,719 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 96/139 +[2025-03-11 06:59:27,745 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 97/139 +[2025-03-11 06:59:27,770 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 98/139 +[2025-03-11 06:59:27,795 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 99/139 +[2025-03-11 06:59:27,825 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 100/139 +[2025-03-11 06:59:27,870 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 101/139 +[2025-03-11 06:59:27,920 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 102/139 +[2025-03-11 06:59:27,947 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 103/139 +[2025-03-11 06:59:27,972 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 104/139 +[2025-03-11 06:59:27,996 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 105/139 +[2025-03-11 06:59:28,023 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 106/139 +[2025-03-11 06:59:28,049 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 107/139 +[2025-03-11 06:59:28,075 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 108/139 +[2025-03-11 06:59:28,102 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 109/139 +[2025-03-11 06:59:28,127 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 110/139 +[2025-03-11 06:59:28,152 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 111/139 +[2025-03-11 06:59:28,196 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 112/139 +[2025-03-11 06:59:28,243 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 113/139 +[2025-03-11 06:59:28,281 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 114/139 +[2025-03-11 06:59:28,310 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 115/139 +[2025-03-11 06:59:28,334 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 116/139 +[2025-03-11 06:59:28,358 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 117/139 +[2025-03-11 06:59:28,383 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 118/139 +[2025-03-11 06:59:28,411 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 119/139 +[2025-03-11 06:59:28,436 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 120/139 +[2025-03-11 06:59:28,471 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 121/139 +[2025-03-11 06:59:28,508 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 122/139 +[2025-03-11 06:59:28,533 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 123/139 +[2025-03-11 06:59:28,559 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 124/139 +[2025-03-11 06:59:28,584 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 125/139 +[2025-03-11 06:59:28,608 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 126/139 +[2025-03-11 06:59:28,633 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 127/139 +[2025-03-11 06:59:28,658 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 128/139 +[2025-03-11 06:59:28,683 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 129/139 +[2025-03-11 06:59:28,708 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 130/139 +[2025-03-11 06:59:28,737 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 131/139 +[2025-03-11 06:59:28,762 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 132/139 +[2025-03-11 06:59:28,788 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 133/139 +[2025-03-11 06:59:28,812 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 134/139 +[2025-03-11 06:59:28,836 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 135/139 +[2025-03-11 06:59:28,861 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 136/139 +[2025-03-11 06:59:28,886 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 137/139 +[2025-03-11 06:59:28,911 INFO test.py line 201 2389709] Test: 42/78-scene0701_01, Batch: 138/139 +[2025-03-11 06:59:28,996 INFO test.py line 291 2389709] Test: scene0701_01 [42/78]-77206 Batch 3.748 (4.614) Accuracy 0.9685 (0.3475) mIoU 0.6454 (0.2814) +[2025-03-11 06:59:29,027 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 0/112 +[2025-03-11 06:59:29,046 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 1/112 +[2025-03-11 06:59:29,066 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 2/112 +[2025-03-11 06:59:29,083 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 3/112 +[2025-03-11 06:59:29,101 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 4/112 +[2025-03-11 06:59:29,119 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 5/112 +[2025-03-11 06:59:29,138 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 6/112 +[2025-03-11 06:59:29,157 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 7/112 +[2025-03-11 06:59:29,175 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 8/112 +[2025-03-11 06:59:29,193 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 9/112 +[2025-03-11 06:59:29,210 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 10/112 +[2025-03-11 06:59:29,229 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 11/112 +[2025-03-11 06:59:29,248 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 12/112 +[2025-03-11 06:59:29,267 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 13/112 +[2025-03-11 06:59:29,285 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 14/112 +[2025-03-11 06:59:29,305 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 15/112 +[2025-03-11 06:59:29,326 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 16/112 +[2025-03-11 06:59:29,345 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 17/112 +[2025-03-11 06:59:29,363 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 18/112 +[2025-03-11 06:59:29,383 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 19/112 +[2025-03-11 06:59:29,403 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 20/112 +[2025-03-11 06:59:29,428 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 21/112 +[2025-03-11 06:59:29,448 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 22/112 +[2025-03-11 06:59:29,466 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 23/112 +[2025-03-11 06:59:29,484 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 24/112 +[2025-03-11 06:59:29,505 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 25/112 +[2025-03-11 06:59:29,524 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 26/112 +[2025-03-11 06:59:29,542 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 27/112 +[2025-03-11 06:59:29,561 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 28/112 +[2025-03-11 06:59:29,578 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 29/112 +[2025-03-11 06:59:29,597 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 30/112 +[2025-03-11 06:59:29,614 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 31/112 +[2025-03-11 06:59:29,637 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 32/112 +[2025-03-11 06:59:29,662 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 33/112 +[2025-03-11 06:59:29,685 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 34/112 +[2025-03-11 06:59:29,710 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 35/112 +[2025-03-11 06:59:29,743 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 36/112 +[2025-03-11 06:59:29,769 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 37/112 +[2025-03-11 06:59:29,792 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 38/112 +[2025-03-11 06:59:29,816 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 39/112 +[2025-03-11 06:59:29,840 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 40/112 +[2025-03-11 06:59:29,863 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 41/112 +[2025-03-11 06:59:29,892 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 42/112 +[2025-03-11 06:59:29,915 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 43/112 +[2025-03-11 06:59:29,950 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 44/112 +[2025-03-11 06:59:29,973 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 45/112 +[2025-03-11 06:59:29,999 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 46/112 +[2025-03-11 06:59:30,023 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 47/112 +[2025-03-11 06:59:30,045 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 48/112 +[2025-03-11 06:59:30,068 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 49/112 +[2025-03-11 06:59:30,106 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 50/112 +[2025-03-11 06:59:30,129 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 51/112 +[2025-03-11 06:59:30,151 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 52/112 +[2025-03-11 06:59:30,178 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 53/112 +[2025-03-11 06:59:30,200 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 54/112 +[2025-03-11 06:59:30,223 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 55/112 +[2025-03-11 06:59:30,248 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 56/112 +[2025-03-11 06:59:30,270 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 57/112 +[2025-03-11 06:59:30,293 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 58/112 +[2025-03-11 06:59:30,318 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 59/112 +[2025-03-11 06:59:30,341 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 60/112 +[2025-03-11 06:59:30,366 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 61/112 +[2025-03-11 06:59:30,389 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 62/112 +[2025-03-11 06:59:30,410 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 63/112 +[2025-03-11 06:59:30,440 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 64/112 +[2025-03-11 06:59:30,463 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 65/112 +[2025-03-11 06:59:30,487 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 66/112 +[2025-03-11 06:59:30,508 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 67/112 +[2025-03-11 06:59:30,531 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 68/112 +[2025-03-11 06:59:30,553 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 69/112 +[2025-03-11 06:59:30,576 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 70/112 +[2025-03-11 06:59:30,623 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 71/112 +[2025-03-11 06:59:30,659 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 72/112 +[2025-03-11 06:59:30,698 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 73/112 +[2025-03-11 06:59:30,730 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 74/112 +[2025-03-11 06:59:30,759 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 75/112 +[2025-03-11 06:59:30,789 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 76/112 +[2025-03-11 06:59:30,820 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 77/112 +[2025-03-11 06:59:30,848 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 78/112 +[2025-03-11 06:59:30,880 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 79/112 +[2025-03-11 06:59:30,914 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 80/112 +[2025-03-11 06:59:30,952 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 81/112 +[2025-03-11 06:59:30,983 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 82/112 +[2025-03-11 06:59:31,011 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 83/112 +[2025-03-11 06:59:31,042 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 84/112 +[2025-03-11 06:59:31,073 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 85/112 +[2025-03-11 06:59:31,102 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 86/112 +[2025-03-11 06:59:31,133 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 87/112 +[2025-03-11 06:59:31,163 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 88/112 +[2025-03-11 06:59:31,192 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 89/112 +[2025-03-11 06:59:31,222 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 90/112 +[2025-03-11 06:59:31,252 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 91/112 +[2025-03-11 06:59:31,276 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 92/112 +[2025-03-11 06:59:31,298 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 93/112 +[2025-03-11 06:59:31,320 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 94/112 +[2025-03-11 06:59:31,343 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 95/112 +[2025-03-11 06:59:31,365 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 96/112 +[2025-03-11 06:59:31,388 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 97/112 +[2025-03-11 06:59:31,410 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 98/112 +[2025-03-11 06:59:31,432 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 99/112 +[2025-03-11 06:59:31,454 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 100/112 +[2025-03-11 06:59:31,478 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 101/112 +[2025-03-11 06:59:31,500 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 102/112 +[2025-03-11 06:59:31,529 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 103/112 +[2025-03-11 06:59:31,552 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 104/112 +[2025-03-11 06:59:31,575 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 105/112 +[2025-03-11 06:59:31,597 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 106/112 +[2025-03-11 06:59:31,619 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 107/112 +[2025-03-11 06:59:31,642 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 108/112 +[2025-03-11 06:59:31,664 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 109/112 +[2025-03-11 06:59:31,687 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 110/112 +[2025-03-11 06:59:31,712 INFO test.py line 201 2389709] Test: 43/78-scene0406_01, Batch: 111/112 +[2025-03-11 06:59:31,771 INFO test.py line 291 2389709] Test: scene0406_01 [43/78]-45557 Batch 2.774 (4.572) Accuracy 0.7123 (0.3480) mIoU 0.5637 (0.2818) +[2025-03-11 06:59:32,276 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 0/118 +[2025-03-11 06:59:32,330 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 1/118 +[2025-03-11 06:59:32,388 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 2/118 +[2025-03-11 06:59:32,452 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 3/118 +[2025-03-11 06:59:32,513 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 4/118 +[2025-03-11 06:59:32,579 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 5/118 +[2025-03-11 06:59:32,635 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 6/118 +[2025-03-11 06:59:32,686 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 7/118 +[2025-03-11 06:59:32,737 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 8/118 +[2025-03-11 06:59:32,787 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 9/118 +[2025-03-11 06:59:32,838 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 10/118 +[2025-03-11 06:59:32,893 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 11/118 +[2025-03-11 06:59:32,949 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 12/118 +[2025-03-11 06:59:33,005 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 13/118 +[2025-03-11 06:59:33,062 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 14/118 +[2025-03-11 06:59:33,133 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 15/118 +[2025-03-11 06:59:33,190 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 16/118 +[2025-03-11 06:59:33,246 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 17/118 +[2025-03-11 06:59:33,301 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 18/118 +[2025-03-11 06:59:33,356 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 19/118 +[2025-03-11 06:59:33,408 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 20/118 +[2025-03-11 06:59:33,460 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 21/118 +[2025-03-11 06:59:33,512 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 22/118 +[2025-03-11 06:59:33,564 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 23/118 +[2025-03-11 06:59:33,616 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 24/118 +[2025-03-11 06:59:33,667 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 25/118 +[2025-03-11 06:59:33,717 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 26/118 +[2025-03-11 06:59:33,769 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 27/118 +[2025-03-11 06:59:33,820 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 28/118 +[2025-03-11 06:59:33,872 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 29/118 +[2025-03-11 06:59:33,935 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 30/118 +[2025-03-11 06:59:33,985 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 31/118 +[2025-03-11 06:59:34,039 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 32/118 +[2025-03-11 06:59:34,091 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 33/118 +[2025-03-11 06:59:34,141 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 34/118 +[2025-03-11 06:59:34,197 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 35/118 +[2025-03-11 06:59:34,247 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 36/118 +[2025-03-11 06:59:34,307 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 37/118 +[2025-03-11 06:59:34,362 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 38/118 +[2025-03-11 06:59:34,419 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 39/118 +[2025-03-11 06:59:34,468 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 40/118 +[2025-03-11 06:59:34,516 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 41/118 +[2025-03-11 06:59:34,565 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 42/118 +[2025-03-11 06:59:34,614 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 43/118 +[2025-03-11 06:59:34,671 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 44/118 +[2025-03-11 06:59:34,727 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 45/118 +[2025-03-11 06:59:34,805 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 46/118 +[2025-03-11 06:59:34,853 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 47/118 +[2025-03-11 06:59:34,901 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 48/118 +[2025-03-11 06:59:34,949 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 49/118 +[2025-03-11 06:59:35,010 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 50/118 +[2025-03-11 06:59:35,058 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 51/118 +[2025-03-11 06:59:35,114 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 52/118 +[2025-03-11 06:59:35,163 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 53/118 +[2025-03-11 06:59:35,211 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 54/118 +[2025-03-11 06:59:35,280 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 55/118 +[2025-03-11 06:59:35,331 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 56/118 +[2025-03-11 06:59:35,379 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 57/118 +[2025-03-11 06:59:35,427 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 58/118 +[2025-03-11 06:59:35,475 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 59/118 +[2025-03-11 06:59:35,524 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 60/118 +[2025-03-11 06:59:35,572 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 61/118 +[2025-03-11 06:59:35,620 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 62/118 +[2025-03-11 06:59:35,669 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 63/118 +[2025-03-11 06:59:35,717 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 64/118 +[2025-03-11 06:59:35,779 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 65/118 +[2025-03-11 06:59:35,828 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 66/118 +[2025-03-11 06:59:35,876 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 67/118 +[2025-03-11 06:59:35,924 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 68/118 +[2025-03-11 06:59:35,982 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 69/118 +[2025-03-11 06:59:36,029 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 70/118 +[2025-03-11 06:59:36,077 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 71/118 +[2025-03-11 06:59:36,126 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 72/118 +[2025-03-11 06:59:36,175 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 73/118 +[2025-03-11 06:59:36,224 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 74/118 +[2025-03-11 06:59:36,272 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 75/118 +[2025-03-11 06:59:36,328 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 76/118 +[2025-03-11 06:59:36,382 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 77/118 +[2025-03-11 06:59:36,461 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 78/118 +[2025-03-11 06:59:36,516 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 79/118 +[2025-03-11 06:59:36,571 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 80/118 +[2025-03-11 06:59:36,626 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 81/118 +[2025-03-11 06:59:36,680 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 82/118 +[2025-03-11 06:59:36,735 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 83/118 +[2025-03-11 06:59:36,790 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 84/118 +[2025-03-11 06:59:36,845 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 85/118 +[2025-03-11 06:59:36,912 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 86/118 +[2025-03-11 06:59:36,966 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 87/118 +[2025-03-11 06:59:37,020 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 88/118 +[2025-03-11 06:59:37,076 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 89/118 +[2025-03-11 06:59:37,130 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 90/118 +[2025-03-11 06:59:37,186 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 91/118 +[2025-03-11 06:59:37,258 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 92/118 +[2025-03-11 06:59:37,312 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 93/118 +[2025-03-11 06:59:37,367 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 94/118 +[2025-03-11 06:59:37,422 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 95/118 +[2025-03-11 06:59:37,482 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 96/118 +[2025-03-11 06:59:37,536 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 97/118 +[2025-03-11 06:59:37,598 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 98/118 +[2025-03-11 06:59:37,654 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 99/118 +[2025-03-11 06:59:37,708 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 100/118 +[2025-03-11 06:59:37,763 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 101/118 +[2025-03-11 06:59:37,820 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 102/118 +[2025-03-11 06:59:37,872 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 103/118 +[2025-03-11 06:59:37,924 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 104/118 +[2025-03-11 06:59:37,975 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 105/118 +[2025-03-11 06:59:38,027 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 106/118 +[2025-03-11 06:59:38,080 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 107/118 +[2025-03-11 06:59:38,130 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 108/118 +[2025-03-11 06:59:38,179 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 109/118 +[2025-03-11 06:59:38,247 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 110/118 +[2025-03-11 06:59:38,295 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 111/118 +[2025-03-11 06:59:38,343 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 112/118 +[2025-03-11 06:59:38,391 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 113/118 +[2025-03-11 06:59:38,440 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 114/118 +[2025-03-11 06:59:38,489 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 115/118 +[2025-03-11 06:59:38,538 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 116/118 +[2025-03-11 06:59:38,590 INFO test.py line 201 2389709] Test: 44/78-scene0329_01, Batch: 117/118 +[2025-03-11 06:59:38,894 INFO test.py line 291 2389709] Test: scene0329_01 [44/78]-368473 Batch 6.750 (4.621) Accuracy 0.9069 (0.3436) mIoU 0.3999 (0.2810) +[2025-03-11 06:59:38,943 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 0/104 +[2025-03-11 06:59:38,994 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 1/104 +[2025-03-11 06:59:39,023 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 2/104 +[2025-03-11 06:59:39,057 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 3/104 +[2025-03-11 06:59:39,082 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 4/104 +[2025-03-11 06:59:39,113 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 5/104 +[2025-03-11 06:59:39,140 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 6/104 +[2025-03-11 06:59:39,180 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 7/104 +[2025-03-11 06:59:39,207 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 8/104 +[2025-03-11 06:59:39,231 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 9/104 +[2025-03-11 06:59:39,260 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 10/104 +[2025-03-11 06:59:39,289 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 11/104 +[2025-03-11 06:59:39,317 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 12/104 +[2025-03-11 06:59:39,363 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 13/104 +[2025-03-11 06:59:39,383 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 14/104 +[2025-03-11 06:59:39,403 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 15/104 +[2025-03-11 06:59:39,422 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 16/104 +[2025-03-11 06:59:39,443 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 17/104 +[2025-03-11 06:59:39,462 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 18/104 +[2025-03-11 06:59:39,482 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 19/104 +[2025-03-11 06:59:39,500 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 20/104 +[2025-03-11 06:59:39,520 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 21/104 +[2025-03-11 06:59:39,540 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 22/104 +[2025-03-11 06:59:39,560 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 23/104 +[2025-03-11 06:59:39,581 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 24/104 +[2025-03-11 06:59:39,601 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 25/104 +[2025-03-11 06:59:39,620 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 26/104 +[2025-03-11 06:59:39,640 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 27/104 +[2025-03-11 06:59:39,660 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 28/104 +[2025-03-11 06:59:39,681 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 29/104 +[2025-03-11 06:59:39,699 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 30/104 +[2025-03-11 06:59:39,720 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 31/104 +[2025-03-11 06:59:39,764 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 32/104 +[2025-03-11 06:59:39,784 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 33/104 +[2025-03-11 06:59:39,804 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 34/104 +[2025-03-11 06:59:39,822 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 35/104 +[2025-03-11 06:59:39,843 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 36/104 +[2025-03-11 06:59:39,862 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 37/104 +[2025-03-11 06:59:39,880 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 38/104 +[2025-03-11 06:59:39,926 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 39/104 +[2025-03-11 06:59:39,944 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 40/104 +[2025-03-11 06:59:39,965 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 41/104 +[2025-03-11 06:59:39,984 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 42/104 +[2025-03-11 06:59:40,002 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 43/104 +[2025-03-11 06:59:40,020 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 44/104 +[2025-03-11 06:59:40,040 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 45/104 +[2025-03-11 06:59:40,061 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 46/104 +[2025-03-11 06:59:40,081 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 47/104 +[2025-03-11 06:59:40,103 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 48/104 +[2025-03-11 06:59:40,122 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 49/104 +[2025-03-11 06:59:40,141 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 50/104 +[2025-03-11 06:59:40,162 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 51/104 +[2025-03-11 06:59:40,215 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 52/104 +[2025-03-11 06:59:40,233 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 53/104 +[2025-03-11 06:59:40,253 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 54/104 +[2025-03-11 06:59:40,298 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 55/104 +[2025-03-11 06:59:40,317 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 56/104 +[2025-03-11 06:59:40,336 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 57/104 +[2025-03-11 06:59:40,354 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 58/104 +[2025-03-11 06:59:40,374 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 59/104 +[2025-03-11 06:59:40,393 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 60/104 +[2025-03-11 06:59:40,413 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 61/104 +[2025-03-11 06:59:40,432 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 62/104 +[2025-03-11 06:59:40,451 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 63/104 +[2025-03-11 06:59:40,470 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 64/104 +[2025-03-11 06:59:40,489 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 65/104 +[2025-03-11 06:59:40,511 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 66/104 +[2025-03-11 06:59:40,531 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 67/104 +[2025-03-11 06:59:40,556 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 68/104 +[2025-03-11 06:59:40,574 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 69/104 +[2025-03-11 06:59:40,594 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 70/104 +[2025-03-11 06:59:40,612 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 71/104 +[2025-03-11 06:59:40,658 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 72/104 +[2025-03-11 06:59:40,677 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 73/104 +[2025-03-11 06:59:40,705 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 74/104 +[2025-03-11 06:59:40,747 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 75/104 +[2025-03-11 06:59:40,778 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 76/104 +[2025-03-11 06:59:40,803 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 77/104 +[2025-03-11 06:59:40,826 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 78/104 +[2025-03-11 06:59:40,865 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 79/104 +[2025-03-11 06:59:40,895 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 80/104 +[2025-03-11 06:59:40,950 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 81/104 +[2025-03-11 06:59:40,984 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 82/104 +[2025-03-11 06:59:41,018 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 83/104 +[2025-03-11 06:59:41,061 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 84/104 +[2025-03-11 06:59:41,097 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 85/104 +[2025-03-11 06:59:41,128 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 86/104 +[2025-03-11 06:59:41,167 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 87/104 +[2025-03-11 06:59:41,194 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 88/104 +[2025-03-11 06:59:41,220 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 89/104 +[2025-03-11 06:59:41,245 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 90/104 +[2025-03-11 06:59:41,271 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 91/104 +[2025-03-11 06:59:41,296 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 92/104 +[2025-03-11 06:59:41,322 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 93/104 +[2025-03-11 06:59:41,348 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 94/104 +[2025-03-11 06:59:41,375 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 95/104 +[2025-03-11 06:59:41,402 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 96/104 +[2025-03-11 06:59:41,430 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 97/104 +[2025-03-11 06:59:41,466 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 98/104 +[2025-03-11 06:59:41,521 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 99/104 +[2025-03-11 06:59:41,558 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 100/104 +[2025-03-11 06:59:41,592 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 101/104 +[2025-03-11 06:59:41,619 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 102/104 +[2025-03-11 06:59:41,652 INFO test.py line 201 2389709] Test: 45/78-scene0100_01, Batch: 103/104 +[2025-03-11 06:59:41,727 INFO test.py line 291 2389709] Test: scene0100_01 [45/78]-51211 Batch 2.832 (4.581) Accuracy 0.7537 (0.3553) mIoU 0.3882 (0.2883) +[2025-03-11 06:59:41,767 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 0/127 +[2025-03-11 06:59:41,794 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 1/127 +[2025-03-11 06:59:41,824 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 2/127 +[2025-03-11 06:59:41,850 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 3/127 +[2025-03-11 06:59:41,878 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 4/127 +[2025-03-11 06:59:41,905 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 5/127 +[2025-03-11 06:59:41,933 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 6/127 +[2025-03-11 06:59:41,969 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 7/127 +[2025-03-11 06:59:42,022 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 8/127 +[2025-03-11 06:59:42,077 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 9/127 +[2025-03-11 06:59:42,106 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 10/127 +[2025-03-11 06:59:42,136 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 11/127 +[2025-03-11 06:59:42,163 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 12/127 +[2025-03-11 06:59:42,218 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 13/127 +[2025-03-11 06:59:42,278 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 14/127 +[2025-03-11 06:59:42,332 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 15/127 +[2025-03-11 06:59:42,359 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 16/127 +[2025-03-11 06:59:42,414 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 17/127 +[2025-03-11 06:59:42,465 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 18/127 +[2025-03-11 06:59:42,493 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 19/127 +[2025-03-11 06:59:42,520 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 20/127 +[2025-03-11 06:59:42,572 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 21/127 +[2025-03-11 06:59:42,624 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 22/127 +[2025-03-11 06:59:42,679 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 23/127 +[2025-03-11 06:59:42,706 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 24/127 +[2025-03-11 06:59:42,744 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 25/127 +[2025-03-11 06:59:42,771 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 26/127 +[2025-03-11 06:59:42,808 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 27/127 +[2025-03-11 06:59:42,864 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 28/127 +[2025-03-11 06:59:42,923 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 29/127 +[2025-03-11 06:59:42,978 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 30/127 +[2025-03-11 06:59:43,003 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 31/127 +[2025-03-11 06:59:43,053 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 32/127 +[2025-03-11 06:59:43,079 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 33/127 +[2025-03-11 06:59:43,105 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 34/127 +[2025-03-11 06:59:43,165 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 35/127 +[2025-03-11 06:59:43,194 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 36/127 +[2025-03-11 06:59:43,225 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 37/127 +[2025-03-11 06:59:43,254 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 38/127 +[2025-03-11 06:59:43,305 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 39/127 +[2025-03-11 06:59:43,333 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 40/127 +[2025-03-11 06:59:43,395 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 41/127 +[2025-03-11 06:59:43,431 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 42/127 +[2025-03-11 06:59:43,461 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 43/127 +[2025-03-11 06:59:43,501 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 44/127 +[2025-03-11 06:59:43,529 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 45/127 +[2025-03-11 06:59:43,566 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 46/127 +[2025-03-11 06:59:43,617 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 47/127 +[2025-03-11 06:59:43,651 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 48/127 +[2025-03-11 06:59:43,678 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 49/127 +[2025-03-11 06:59:43,713 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 50/127 +[2025-03-11 06:59:43,755 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 51/127 +[2025-03-11 06:59:43,806 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 52/127 +[2025-03-11 06:59:43,835 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 53/127 +[2025-03-11 06:59:43,863 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 54/127 +[2025-03-11 06:59:43,908 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 55/127 +[2025-03-11 06:59:43,934 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 56/127 +[2025-03-11 06:59:43,981 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 57/127 +[2025-03-11 06:59:44,008 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 58/127 +[2025-03-11 06:59:44,045 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 59/127 +[2025-03-11 06:59:44,075 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 60/127 +[2025-03-11 06:59:44,112 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 61/127 +[2025-03-11 06:59:44,163 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 62/127 +[2025-03-11 06:59:44,189 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 63/127 +[2025-03-11 06:59:44,215 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 64/127 +[2025-03-11 06:59:44,261 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 65/127 +[2025-03-11 06:59:44,288 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 66/127 +[2025-03-11 06:59:44,333 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 67/127 +[2025-03-11 06:59:44,360 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 68/127 +[2025-03-11 06:59:44,402 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 69/127 +[2025-03-11 06:59:44,427 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 70/127 +[2025-03-11 06:59:44,453 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 71/127 +[2025-03-11 06:59:44,501 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 72/127 +[2025-03-11 06:59:44,550 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 73/127 +[2025-03-11 06:59:44,575 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 74/127 +[2025-03-11 06:59:44,621 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 75/127 +[2025-03-11 06:59:44,658 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 76/127 +[2025-03-11 06:59:44,694 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 77/127 +[2025-03-11 06:59:44,728 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 78/127 +[2025-03-11 06:59:44,762 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 79/127 +[2025-03-11 06:59:44,797 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 80/127 +[2025-03-11 06:59:44,833 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 81/127 +[2025-03-11 06:59:44,875 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 82/127 +[2025-03-11 06:59:44,905 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 83/127 +[2025-03-11 06:59:44,959 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 84/127 +[2025-03-11 06:59:45,000 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 85/127 +[2025-03-11 06:59:45,035 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 86/127 +[2025-03-11 06:59:45,077 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 87/127 +[2025-03-11 06:59:45,140 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 88/127 +[2025-03-11 06:59:45,170 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 89/127 +[2025-03-11 06:59:45,195 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 90/127 +[2025-03-11 06:59:45,220 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 91/127 +[2025-03-11 06:59:45,245 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 92/127 +[2025-03-11 06:59:45,271 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 93/127 +[2025-03-11 06:59:45,295 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 94/127 +[2025-03-11 06:59:45,321 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 95/127 +[2025-03-11 06:59:45,358 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 96/127 +[2025-03-11 06:59:45,383 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 97/127 +[2025-03-11 06:59:45,410 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 98/127 +[2025-03-11 06:59:45,469 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 99/127 +[2025-03-11 06:59:45,525 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 100/127 +[2025-03-11 06:59:45,575 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 101/127 +[2025-03-11 06:59:45,616 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 102/127 +[2025-03-11 06:59:45,656 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 103/127 +[2025-03-11 06:59:45,680 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 104/127 +[2025-03-11 06:59:45,734 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 105/127 +[2025-03-11 06:59:45,758 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 106/127 +[2025-03-11 06:59:45,804 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 107/127 +[2025-03-11 06:59:45,829 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 108/127 +[2025-03-11 06:59:45,855 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 109/127 +[2025-03-11 06:59:45,881 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 110/127 +[2025-03-11 06:59:45,906 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 111/127 +[2025-03-11 06:59:45,932 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 112/127 +[2025-03-11 06:59:45,957 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 113/127 +[2025-03-11 06:59:45,981 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 114/127 +[2025-03-11 06:59:46,006 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 115/127 +[2025-03-11 06:59:46,030 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 116/127 +[2025-03-11 06:59:46,056 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 117/127 +[2025-03-11 06:59:46,080 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 118/127 +[2025-03-11 06:59:46,104 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 119/127 +[2025-03-11 06:59:46,129 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 120/127 +[2025-03-11 06:59:46,152 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 121/127 +[2025-03-11 06:59:46,176 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 122/127 +[2025-03-11 06:59:46,199 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 123/127 +[2025-03-11 06:59:46,234 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 124/127 +[2025-03-11 06:59:46,277 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 125/127 +[2025-03-11 06:59:46,302 INFO test.py line 201 2389709] Test: 46/78-scene0664_02, Batch: 126/127 +[2025-03-11 06:59:46,356 INFO test.py line 291 2389709] Test: scene0664_02 [46/78]-46804 Batch 4.629 (4.582) Accuracy 0.8670 (0.3606) mIoU 0.5833 (0.2918) +[2025-03-11 06:59:46,411 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 0/126 +[2025-03-11 06:59:46,439 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 1/126 +[2025-03-11 06:59:46,467 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 2/126 +[2025-03-11 06:59:46,495 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 3/126 +[2025-03-11 06:59:46,524 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 4/126 +[2025-03-11 06:59:46,552 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 5/126 +[2025-03-11 06:59:46,580 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 6/126 +[2025-03-11 06:59:46,609 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 7/126 +[2025-03-11 06:59:46,637 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 8/126 +[2025-03-11 06:59:46,666 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 9/126 +[2025-03-11 06:59:46,694 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 10/126 +[2025-03-11 06:59:46,723 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 11/126 +[2025-03-11 06:59:46,752 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 12/126 +[2025-03-11 06:59:46,782 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 13/126 +[2025-03-11 06:59:46,822 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 14/126 +[2025-03-11 06:59:46,851 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 15/126 +[2025-03-11 06:59:46,879 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 16/126 +[2025-03-11 06:59:46,919 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 17/126 +[2025-03-11 06:59:46,948 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 18/126 +[2025-03-11 06:59:46,977 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 19/126 +[2025-03-11 06:59:47,005 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 20/126 +[2025-03-11 06:59:47,033 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 21/126 +[2025-03-11 06:59:47,062 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 22/126 +[2025-03-11 06:59:47,091 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 23/126 +[2025-03-11 06:59:47,120 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 24/126 +[2025-03-11 06:59:47,150 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 25/126 +[2025-03-11 06:59:47,180 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 26/126 +[2025-03-11 06:59:47,208 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 27/126 +[2025-03-11 06:59:47,236 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 28/126 +[2025-03-11 06:59:47,266 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 29/126 +[2025-03-11 06:59:47,293 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 30/126 +[2025-03-11 06:59:47,321 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 31/126 +[2025-03-11 06:59:47,351 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 32/126 +[2025-03-11 06:59:47,379 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 33/126 +[2025-03-11 06:59:47,412 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 34/126 +[2025-03-11 06:59:47,443 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 35/126 +[2025-03-11 06:59:47,472 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 36/126 +[2025-03-11 06:59:47,504 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 37/126 +[2025-03-11 06:59:47,533 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 38/126 +[2025-03-11 06:59:47,560 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 39/126 +[2025-03-11 06:59:47,587 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 40/126 +[2025-03-11 06:59:47,618 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 41/126 +[2025-03-11 06:59:47,652 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 42/126 +[2025-03-11 06:59:47,680 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 43/126 +[2025-03-11 06:59:47,707 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 44/126 +[2025-03-11 06:59:47,734 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 45/126 +[2025-03-11 06:59:47,762 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 46/126 +[2025-03-11 06:59:47,790 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 47/126 +[2025-03-11 06:59:47,818 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 48/126 +[2025-03-11 06:59:47,844 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 49/126 +[2025-03-11 06:59:47,888 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 50/126 +[2025-03-11 06:59:47,916 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 51/126 +[2025-03-11 06:59:47,970 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 52/126 +[2025-03-11 06:59:48,000 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 53/126 +[2025-03-11 06:59:48,028 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 54/126 +[2025-03-11 06:59:48,057 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 55/126 +[2025-03-11 06:59:48,087 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 56/126 +[2025-03-11 06:59:48,117 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 57/126 +[2025-03-11 06:59:48,167 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 58/126 +[2025-03-11 06:59:48,214 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 59/126 +[2025-03-11 06:59:48,242 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 60/126 +[2025-03-11 06:59:48,272 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 61/126 +[2025-03-11 06:59:48,301 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 62/126 +[2025-03-11 06:59:48,332 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 63/126 +[2025-03-11 06:59:48,362 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 64/126 +[2025-03-11 06:59:48,392 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 65/126 +[2025-03-11 06:59:48,420 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 66/126 +[2025-03-11 06:59:48,450 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 67/126 +[2025-03-11 06:59:48,481 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 68/126 +[2025-03-11 06:59:48,509 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 69/126 +[2025-03-11 06:59:48,539 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 70/126 +[2025-03-11 06:59:48,568 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 71/126 +[2025-03-11 06:59:48,598 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 72/126 +[2025-03-11 06:59:48,628 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 73/126 +[2025-03-11 06:59:48,658 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 74/126 +[2025-03-11 06:59:48,685 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 75/126 +[2025-03-11 06:59:48,713 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 76/126 +[2025-03-11 06:59:48,740 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 77/126 +[2025-03-11 06:59:48,767 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 78/126 +[2025-03-11 06:59:48,793 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 79/126 +[2025-03-11 06:59:48,821 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 80/126 +[2025-03-11 06:59:48,850 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 81/126 +[2025-03-11 06:59:48,879 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 82/126 +[2025-03-11 06:59:48,907 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 83/126 +[2025-03-11 06:59:48,935 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 84/126 +[2025-03-11 06:59:48,964 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 85/126 +[2025-03-11 06:59:48,993 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 86/126 +[2025-03-11 06:59:49,029 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 87/126 +[2025-03-11 06:59:49,057 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 88/126 +[2025-03-11 06:59:49,088 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 89/126 +[2025-03-11 06:59:49,119 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 90/126 +[2025-03-11 06:59:49,156 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 91/126 +[2025-03-11 06:59:49,193 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 92/126 +[2025-03-11 06:59:49,230 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 93/126 +[2025-03-11 06:59:49,273 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 94/126 +[2025-03-11 06:59:49,310 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 95/126 +[2025-03-11 06:59:49,350 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 96/126 +[2025-03-11 06:59:49,387 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 97/126 +[2025-03-11 06:59:49,426 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 98/126 +[2025-03-11 06:59:49,477 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 99/126 +[2025-03-11 06:59:49,531 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 100/126 +[2025-03-11 06:59:49,586 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 101/126 +[2025-03-11 06:59:49,641 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 102/126 +[2025-03-11 06:59:49,686 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 103/126 +[2025-03-11 06:59:49,728 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 104/126 +[2025-03-11 06:59:49,771 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 105/126 +[2025-03-11 06:59:49,814 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 106/126 +[2025-03-11 06:59:49,859 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 107/126 +[2025-03-11 06:59:49,903 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 108/126 +[2025-03-11 06:59:49,949 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 109/126 +[2025-03-11 06:59:49,980 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 110/126 +[2025-03-11 06:59:50,013 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 111/126 +[2025-03-11 06:59:50,045 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 112/126 +[2025-03-11 06:59:50,077 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 113/126 +[2025-03-11 06:59:50,115 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 114/126 +[2025-03-11 06:59:50,147 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 115/126 +[2025-03-11 06:59:50,180 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 116/126 +[2025-03-11 06:59:50,213 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 117/126 +[2025-03-11 06:59:50,245 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 118/126 +[2025-03-11 06:59:50,277 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 119/126 +[2025-03-11 06:59:50,307 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 120/126 +[2025-03-11 06:59:50,337 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 121/126 +[2025-03-11 06:59:50,368 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 122/126 +[2025-03-11 06:59:50,397 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 123/126 +[2025-03-11 06:59:50,428 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 124/126 +[2025-03-11 06:59:50,461 INFO test.py line 201 2389709] Test: 47/78-scene0357_00, Batch: 125/126 +[2025-03-11 06:59:50,646 INFO test.py line 291 2389709] Test: scene0357_00 [47/78]-136945 Batch 4.290 (4.576) Accuracy 0.7493 (0.3641) mIoU 0.2912 (0.2943) +[2025-03-11 06:59:50,754 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 0/125 +[2025-03-11 06:59:50,790 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 1/125 +[2025-03-11 06:59:50,829 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 2/125 +[2025-03-11 06:59:50,869 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 3/125 +[2025-03-11 06:59:50,907 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 4/125 +[2025-03-11 06:59:50,944 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 5/125 +[2025-03-11 06:59:50,989 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 6/125 +[2025-03-11 06:59:51,025 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 7/125 +[2025-03-11 06:59:51,061 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 8/125 +[2025-03-11 06:59:51,098 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 9/125 +[2025-03-11 06:59:51,133 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 10/125 +[2025-03-11 06:59:51,169 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 11/125 +[2025-03-11 06:59:51,207 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 12/125 +[2025-03-11 06:59:51,247 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 13/125 +[2025-03-11 06:59:51,283 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 14/125 +[2025-03-11 06:59:51,320 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 15/125 +[2025-03-11 06:59:51,355 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 16/125 +[2025-03-11 06:59:51,390 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 17/125 +[2025-03-11 06:59:51,424 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 18/125 +[2025-03-11 06:59:51,458 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 19/125 +[2025-03-11 06:59:51,491 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 20/125 +[2025-03-11 06:59:51,526 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 21/125 +[2025-03-11 06:59:51,560 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 22/125 +[2025-03-11 06:59:51,614 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 23/125 +[2025-03-11 06:59:51,648 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 24/125 +[2025-03-11 06:59:51,683 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 25/125 +[2025-03-11 06:59:51,735 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 26/125 +[2025-03-11 06:59:51,771 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 27/125 +[2025-03-11 06:59:51,806 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 28/125 +[2025-03-11 06:59:51,865 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 29/125 +[2025-03-11 06:59:51,900 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 30/125 +[2025-03-11 06:59:51,934 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 31/125 +[2025-03-11 06:59:51,972 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 32/125 +[2025-03-11 06:59:52,009 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 33/125 +[2025-03-11 06:59:52,046 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 34/125 +[2025-03-11 06:59:52,077 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 35/125 +[2025-03-11 06:59:52,108 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 36/125 +[2025-03-11 06:59:52,137 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 37/125 +[2025-03-11 06:59:52,200 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 38/125 +[2025-03-11 06:59:52,263 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 39/125 +[2025-03-11 06:59:52,310 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 40/125 +[2025-03-11 06:59:52,357 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 41/125 +[2025-03-11 06:59:52,402 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 42/125 +[2025-03-11 06:59:52,448 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 43/125 +[2025-03-11 06:59:52,491 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 44/125 +[2025-03-11 06:59:52,546 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 45/125 +[2025-03-11 06:59:52,591 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 46/125 +[2025-03-11 06:59:52,638 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 47/125 +[2025-03-11 06:59:52,681 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 48/125 +[2025-03-11 06:59:52,723 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 49/125 +[2025-03-11 06:59:52,770 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 50/125 +[2025-03-11 06:59:52,825 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 51/125 +[2025-03-11 06:59:52,877 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 52/125 +[2025-03-11 06:59:52,926 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 53/125 +[2025-03-11 06:59:52,979 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 54/125 +[2025-03-11 06:59:53,032 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 55/125 +[2025-03-11 06:59:53,082 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 56/125 +[2025-03-11 06:59:53,133 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 57/125 +[2025-03-11 06:59:53,183 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 58/125 +[2025-03-11 06:59:53,236 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 59/125 +[2025-03-11 06:59:53,287 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 60/125 +[2025-03-11 06:59:53,343 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 61/125 +[2025-03-11 06:59:53,383 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 62/125 +[2025-03-11 06:59:53,420 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 63/125 +[2025-03-11 06:59:53,462 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 64/125 +[2025-03-11 06:59:53,508 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 65/125 +[2025-03-11 06:59:53,548 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 66/125 +[2025-03-11 06:59:53,594 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 67/125 +[2025-03-11 06:59:53,642 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 68/125 +[2025-03-11 06:59:53,684 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 69/125 +[2025-03-11 06:59:53,726 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 70/125 +[2025-03-11 06:59:53,762 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 71/125 +[2025-03-11 06:59:53,798 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 72/125 +[2025-03-11 06:59:53,832 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 73/125 +[2025-03-11 06:59:53,877 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 74/125 +[2025-03-11 06:59:53,917 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 75/125 +[2025-03-11 06:59:53,950 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 76/125 +[2025-03-11 06:59:53,984 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 77/125 +[2025-03-11 06:59:54,018 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 78/125 +[2025-03-11 06:59:54,052 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 79/125 +[2025-03-11 06:59:54,092 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 80/125 +[2025-03-11 06:59:54,134 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 81/125 +[2025-03-11 06:59:54,198 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 82/125 +[2025-03-11 06:59:54,234 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 83/125 +[2025-03-11 06:59:54,273 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 84/125 +[2025-03-11 06:59:54,309 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 85/125 +[2025-03-11 06:59:54,345 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 86/125 +[2025-03-11 06:59:54,386 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 87/125 +[2025-03-11 06:59:54,423 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 88/125 +[2025-03-11 06:59:54,460 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 89/125 +[2025-03-11 06:59:54,495 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 90/125 +[2025-03-11 06:59:54,531 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 91/125 +[2025-03-11 06:59:54,568 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 92/125 +[2025-03-11 06:59:54,605 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 93/125 +[2025-03-11 06:59:54,639 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 94/125 +[2025-03-11 06:59:54,674 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 95/125 +[2025-03-11 06:59:54,740 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 96/125 +[2025-03-11 06:59:54,777 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 97/125 +[2025-03-11 06:59:54,812 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 98/125 +[2025-03-11 06:59:54,847 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 99/125 +[2025-03-11 06:59:54,889 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 100/125 +[2025-03-11 06:59:54,928 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 101/125 +[2025-03-11 06:59:54,968 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 102/125 +[2025-03-11 06:59:55,009 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 103/125 +[2025-03-11 06:59:55,051 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 104/125 +[2025-03-11 06:59:55,085 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 105/125 +[2025-03-11 06:59:55,118 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 106/125 +[2025-03-11 06:59:55,153 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 107/125 +[2025-03-11 06:59:55,186 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 108/125 +[2025-03-11 06:59:55,220 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 109/125 +[2025-03-11 06:59:55,262 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 110/125 +[2025-03-11 06:59:55,304 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 111/125 +[2025-03-11 06:59:55,345 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 112/125 +[2025-03-11 06:59:55,379 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 113/125 +[2025-03-11 06:59:55,414 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 114/125 +[2025-03-11 06:59:55,449 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 115/125 +[2025-03-11 06:59:55,482 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 116/125 +[2025-03-11 06:59:55,515 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 117/125 +[2025-03-11 06:59:55,547 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 118/125 +[2025-03-11 06:59:55,579 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 119/125 +[2025-03-11 06:59:55,615 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 120/125 +[2025-03-11 06:59:55,647 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 121/125 +[2025-03-11 06:59:55,680 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 122/125 +[2025-03-11 06:59:55,741 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 123/125 +[2025-03-11 06:59:55,775 INFO test.py line 201 2389709] Test: 48/78-scene0474_00, Batch: 124/125 +[2025-03-11 06:59:56,002 INFO test.py line 291 2389709] Test: scene0474_00 [48/78]-182281 Batch 5.355 (4.592) Accuracy 0.8543 (0.3751) mIoU 0.3952 (0.3020) +[2025-03-11 06:59:56,078 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 0/134 +[2025-03-11 06:59:56,112 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 1/134 +[2025-03-11 06:59:56,143 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 2/134 +[2025-03-11 06:59:56,176 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 3/134 +[2025-03-11 06:59:56,209 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 4/134 +[2025-03-11 06:59:56,275 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 5/134 +[2025-03-11 06:59:56,308 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 6/134 +[2025-03-11 06:59:56,340 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 7/134 +[2025-03-11 06:59:56,373 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 8/134 +[2025-03-11 06:59:56,405 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 9/134 +[2025-03-11 06:59:56,466 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 10/134 +[2025-03-11 06:59:56,499 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 11/134 +[2025-03-11 06:59:56,531 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 12/134 +[2025-03-11 06:59:56,563 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 13/134 +[2025-03-11 06:59:56,603 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 14/134 +[2025-03-11 06:59:56,637 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 15/134 +[2025-03-11 06:59:56,694 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 16/134 +[2025-03-11 06:59:56,725 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 17/134 +[2025-03-11 06:59:56,760 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 18/134 +[2025-03-11 06:59:56,791 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 19/134 +[2025-03-11 06:59:56,822 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 20/134 +[2025-03-11 06:59:56,852 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 21/134 +[2025-03-11 06:59:56,883 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 22/134 +[2025-03-11 06:59:56,913 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 23/134 +[2025-03-11 06:59:56,963 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 24/134 +[2025-03-11 06:59:57,004 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 25/134 +[2025-03-11 06:59:57,042 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 26/134 +[2025-03-11 06:59:57,072 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 27/134 +[2025-03-11 06:59:57,116 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 28/134 +[2025-03-11 06:59:57,147 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 29/134 +[2025-03-11 06:59:57,177 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 30/134 +[2025-03-11 06:59:57,207 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 31/134 +[2025-03-11 06:59:57,238 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 32/134 +[2025-03-11 06:59:57,268 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 33/134 +[2025-03-11 06:59:57,298 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 34/134 +[2025-03-11 06:59:57,331 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 35/134 +[2025-03-11 06:59:57,362 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 36/134 +[2025-03-11 06:59:57,397 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 37/134 +[2025-03-11 06:59:57,433 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 38/134 +[2025-03-11 06:59:57,471 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 39/134 +[2025-03-11 06:59:57,506 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 40/134 +[2025-03-11 06:59:57,542 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 41/134 +[2025-03-11 06:59:57,580 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 42/134 +[2025-03-11 06:59:57,612 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 43/134 +[2025-03-11 06:59:57,658 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 44/134 +[2025-03-11 06:59:57,699 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 45/134 +[2025-03-11 06:59:57,743 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 46/134 +[2025-03-11 06:59:57,789 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 47/134 +[2025-03-11 06:59:57,832 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 48/134 +[2025-03-11 06:59:57,878 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 49/134 +[2025-03-11 06:59:57,924 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 50/134 +[2025-03-11 06:59:57,971 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 51/134 +[2025-03-11 06:59:58,002 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 52/134 +[2025-03-11 06:59:58,033 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 53/134 +[2025-03-11 06:59:58,063 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 54/134 +[2025-03-11 06:59:58,093 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 55/134 +[2025-03-11 06:59:58,125 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 56/134 +[2025-03-11 06:59:58,156 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 57/134 +[2025-03-11 06:59:58,193 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 58/134 +[2025-03-11 06:59:58,223 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 59/134 +[2025-03-11 06:59:58,253 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 60/134 +[2025-03-11 06:59:58,288 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 61/134 +[2025-03-11 06:59:58,319 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 62/134 +[2025-03-11 06:59:58,349 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 63/134 +[2025-03-11 06:59:58,383 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 64/134 +[2025-03-11 06:59:58,419 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 65/134 +[2025-03-11 06:59:58,449 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 66/134 +[2025-03-11 06:59:58,478 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 67/134 +[2025-03-11 06:59:58,512 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 68/134 +[2025-03-11 06:59:58,542 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 69/134 +[2025-03-11 06:59:58,571 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 70/134 +[2025-03-11 06:59:58,601 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 71/134 +[2025-03-11 06:59:58,632 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 72/134 +[2025-03-11 06:59:58,661 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 73/134 +[2025-03-11 06:59:58,697 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 74/134 +[2025-03-11 06:59:58,727 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 75/134 +[2025-03-11 06:59:58,756 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 76/134 +[2025-03-11 06:59:58,785 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 77/134 +[2025-03-11 06:59:58,815 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 78/134 +[2025-03-11 06:59:58,844 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 79/134 +[2025-03-11 06:59:58,873 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 80/134 +[2025-03-11 06:59:58,901 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 81/134 +[2025-03-11 06:59:58,931 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 82/134 +[2025-03-11 06:59:58,962 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 83/134 +[2025-03-11 06:59:58,993 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 84/134 +[2025-03-11 06:59:59,024 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 85/134 +[2025-03-11 06:59:59,054 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 86/134 +[2025-03-11 06:59:59,085 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 87/134 +[2025-03-11 06:59:59,115 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 88/134 +[2025-03-11 06:59:59,147 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 89/134 +[2025-03-11 06:59:59,180 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 90/134 +[2025-03-11 06:59:59,212 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 91/134 +[2025-03-11 06:59:59,245 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 92/134 +[2025-03-11 06:59:59,277 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 93/134 +[2025-03-11 06:59:59,309 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 94/134 +[2025-03-11 06:59:59,341 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 95/134 +[2025-03-11 06:59:59,375 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 96/134 +[2025-03-11 06:59:59,406 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 97/134 +[2025-03-11 06:59:59,438 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 98/134 +[2025-03-11 06:59:59,471 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 99/134 +[2025-03-11 06:59:59,510 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 100/134 +[2025-03-11 06:59:59,541 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 101/134 +[2025-03-11 06:59:59,587 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 102/134 +[2025-03-11 06:59:59,618 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 103/134 +[2025-03-11 06:59:59,650 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 104/134 +[2025-03-11 06:59:59,681 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 105/134 +[2025-03-11 06:59:59,715 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 106/134 +[2025-03-11 06:59:59,747 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 107/134 +[2025-03-11 06:59:59,784 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 108/134 +[2025-03-11 06:59:59,815 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 109/134 +[2025-03-11 06:59:59,847 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 110/134 +[2025-03-11 06:59:59,879 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 111/134 +[2025-03-11 06:59:59,910 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 112/134 +[2025-03-11 06:59:59,942 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 113/134 +[2025-03-11 06:59:59,974 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 114/134 +[2025-03-11 07:00:00,009 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 115/134 +[2025-03-11 07:00:00,041 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 116/134 +[2025-03-11 07:00:00,072 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 117/134 +[2025-03-11 07:00:00,104 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 118/134 +[2025-03-11 07:00:00,140 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 119/134 +[2025-03-11 07:00:00,172 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 120/134 +[2025-03-11 07:00:00,204 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 121/134 +[2025-03-11 07:00:00,236 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 122/134 +[2025-03-11 07:00:00,267 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 123/134 +[2025-03-11 07:00:00,297 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 124/134 +[2025-03-11 07:00:00,340 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 125/134 +[2025-03-11 07:00:00,372 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 126/134 +[2025-03-11 07:00:00,407 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 127/134 +[2025-03-11 07:00:00,439 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 128/134 +[2025-03-11 07:00:00,470 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 129/134 +[2025-03-11 07:00:00,500 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 130/134 +[2025-03-11 07:00:00,531 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 131/134 +[2025-03-11 07:00:00,563 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 132/134 +[2025-03-11 07:00:00,594 INFO test.py line 201 2389709] Test: 49/78-scene0300_01, Batch: 133/134 +[2025-03-11 07:00:00,787 INFO test.py line 291 2389709] Test: scene0300_01 [49/78]-173223 Batch 4.785 (4.596) Accuracy 0.6922 (0.3740) mIoU 0.4272 (0.3008) +[2025-03-11 07:00:00,852 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 0/138 +[2025-03-11 07:00:00,880 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 1/138 +[2025-03-11 07:00:00,908 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 2/138 +[2025-03-11 07:00:00,936 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 3/138 +[2025-03-11 07:00:00,964 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 4/138 +[2025-03-11 07:00:00,992 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 5/138 +[2025-03-11 07:00:01,019 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 6/138 +[2025-03-11 07:00:01,048 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 7/138 +[2025-03-11 07:00:01,075 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 8/138 +[2025-03-11 07:00:01,102 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 9/138 +[2025-03-11 07:00:01,131 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 10/138 +[2025-03-11 07:00:01,159 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 11/138 +[2025-03-11 07:00:01,186 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 12/138 +[2025-03-11 07:00:01,213 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 13/138 +[2025-03-11 07:00:01,242 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 14/138 +[2025-03-11 07:00:01,270 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 15/138 +[2025-03-11 07:00:01,297 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 16/138 +[2025-03-11 07:00:01,324 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 17/138 +[2025-03-11 07:00:01,352 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 18/138 +[2025-03-11 07:00:01,379 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 19/138 +[2025-03-11 07:00:01,406 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 20/138 +[2025-03-11 07:00:01,436 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 21/138 +[2025-03-11 07:00:01,463 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 22/138 +[2025-03-11 07:00:01,489 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 23/138 +[2025-03-11 07:00:01,517 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 24/138 +[2025-03-11 07:00:01,544 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 25/138 +[2025-03-11 07:00:01,572 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 26/138 +[2025-03-11 07:00:01,609 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 27/138 +[2025-03-11 07:00:01,647 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 28/138 +[2025-03-11 07:00:01,671 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 29/138 +[2025-03-11 07:00:01,695 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 30/138 +[2025-03-11 07:00:01,719 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 31/138 +[2025-03-11 07:00:01,743 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 32/138 +[2025-03-11 07:00:01,768 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 33/138 +[2025-03-11 07:00:01,792 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 34/138 +[2025-03-11 07:00:01,822 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 35/138 +[2025-03-11 07:00:01,845 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 36/138 +[2025-03-11 07:00:01,869 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 37/138 +[2025-03-11 07:00:01,894 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 38/138 +[2025-03-11 07:00:01,918 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 39/138 +[2025-03-11 07:00:01,942 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 40/138 +[2025-03-11 07:00:01,965 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 41/138 +[2025-03-11 07:00:01,989 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 42/138 +[2025-03-11 07:00:02,012 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 43/138 +[2025-03-11 07:00:02,036 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 44/138 +[2025-03-11 07:00:02,059 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 45/138 +[2025-03-11 07:00:02,081 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 46/138 +[2025-03-11 07:00:02,104 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 47/138 +[2025-03-11 07:00:02,134 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 48/138 +[2025-03-11 07:00:02,157 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 49/138 +[2025-03-11 07:00:02,180 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 50/138 +[2025-03-11 07:00:02,204 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 51/138 +[2025-03-11 07:00:02,228 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 52/138 +[2025-03-11 07:00:02,251 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 53/138 +[2025-03-11 07:00:02,275 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 54/138 +[2025-03-11 07:00:02,298 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 55/138 +[2025-03-11 07:00:02,326 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 56/138 +[2025-03-11 07:00:02,359 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 57/138 +[2025-03-11 07:00:02,392 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 58/138 +[2025-03-11 07:00:02,417 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 59/138 +[2025-03-11 07:00:02,439 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 60/138 +[2025-03-11 07:00:02,464 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 61/138 +[2025-03-11 07:00:02,490 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 62/138 +[2025-03-11 07:00:02,516 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 63/138 +[2025-03-11 07:00:02,542 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 64/138 +[2025-03-11 07:00:02,568 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 65/138 +[2025-03-11 07:00:02,618 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 66/138 +[2025-03-11 07:00:02,645 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 67/138 +[2025-03-11 07:00:02,681 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 68/138 +[2025-03-11 07:00:02,707 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 69/138 +[2025-03-11 07:00:02,733 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 70/138 +[2025-03-11 07:00:02,759 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 71/138 +[2025-03-11 07:00:02,785 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 72/138 +[2025-03-11 07:00:02,811 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 73/138 +[2025-03-11 07:00:02,836 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 74/138 +[2025-03-11 07:00:02,862 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 75/138 +[2025-03-11 07:00:02,888 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 76/138 +[2025-03-11 07:00:02,919 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 77/138 +[2025-03-11 07:00:02,946 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 78/138 +[2025-03-11 07:00:02,975 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 79/138 +[2025-03-11 07:00:03,001 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 80/138 +[2025-03-11 07:00:03,030 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 81/138 +[2025-03-11 07:00:03,056 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 82/138 +[2025-03-11 07:00:03,084 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 83/138 +[2025-03-11 07:00:03,112 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 84/138 +[2025-03-11 07:00:03,139 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 85/138 +[2025-03-11 07:00:03,166 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 86/138 +[2025-03-11 07:00:03,192 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 87/138 +[2025-03-11 07:00:03,220 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 88/138 +[2025-03-11 07:00:03,248 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 89/138 +[2025-03-11 07:00:03,276 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 90/138 +[2025-03-11 07:00:03,304 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 91/138 +[2025-03-11 07:00:03,331 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 92/138 +[2025-03-11 07:00:03,359 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 93/138 +[2025-03-11 07:00:03,387 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 94/138 +[2025-03-11 07:00:03,422 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 95/138 +[2025-03-11 07:00:03,450 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 96/138 +[2025-03-11 07:00:03,478 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 97/138 +[2025-03-11 07:00:03,506 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 98/138 +[2025-03-11 07:00:03,543 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 99/138 +[2025-03-11 07:00:03,570 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 100/138 +[2025-03-11 07:00:03,597 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 101/138 +[2025-03-11 07:00:03,627 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 102/138 +[2025-03-11 07:00:03,660 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 103/138 +[2025-03-11 07:00:03,688 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 104/138 +[2025-03-11 07:00:03,716 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 105/138 +[2025-03-11 07:00:03,745 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 106/138 +[2025-03-11 07:00:03,773 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 107/138 +[2025-03-11 07:00:03,801 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 108/138 +[2025-03-11 07:00:03,833 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 109/138 +[2025-03-11 07:00:03,861 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 110/138 +[2025-03-11 07:00:03,889 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 111/138 +[2025-03-11 07:00:03,918 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 112/138 +[2025-03-11 07:00:03,946 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 113/138 +[2025-03-11 07:00:03,974 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 114/138 +[2025-03-11 07:00:04,002 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 115/138 +[2025-03-11 07:00:04,030 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 116/138 +[2025-03-11 07:00:04,058 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 117/138 +[2025-03-11 07:00:04,092 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 118/138 +[2025-03-11 07:00:04,129 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 119/138 +[2025-03-11 07:00:04,164 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 120/138 +[2025-03-11 07:00:04,197 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 121/138 +[2025-03-11 07:00:04,231 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 122/138 +[2025-03-11 07:00:04,265 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 123/138 +[2025-03-11 07:00:04,301 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 124/138 +[2025-03-11 07:00:04,340 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 125/138 +[2025-03-11 07:00:04,385 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 126/138 +[2025-03-11 07:00:04,443 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 127/138 +[2025-03-11 07:00:04,487 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 128/138 +[2025-03-11 07:00:04,541 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 129/138 +[2025-03-11 07:00:04,579 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 130/138 +[2025-03-11 07:00:04,606 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 131/138 +[2025-03-11 07:00:04,633 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 132/138 +[2025-03-11 07:00:04,667 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 133/138 +[2025-03-11 07:00:04,712 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 134/138 +[2025-03-11 07:00:04,751 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 135/138 +[2025-03-11 07:00:04,780 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 136/138 +[2025-03-11 07:00:04,810 INFO test.py line 201 2389709] Test: 50/78-scene0426_03, Batch: 137/138 +[2025-03-11 07:00:04,959 INFO test.py line 291 2389709] Test: scene0426_03 [50/78]-126181 Batch 4.172 (4.588) Accuracy 0.7860 (0.3757) mIoU 0.2613 (0.3020) +[2025-03-11 07:00:05,016 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 0/121 +[2025-03-11 07:00:05,042 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 1/121 +[2025-03-11 07:00:05,070 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 2/121 +[2025-03-11 07:00:05,097 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 3/121 +[2025-03-11 07:00:05,128 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 4/121 +[2025-03-11 07:00:05,160 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 5/121 +[2025-03-11 07:00:05,187 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 6/121 +[2025-03-11 07:00:05,214 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 7/121 +[2025-03-11 07:00:05,247 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 8/121 +[2025-03-11 07:00:05,273 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 9/121 +[2025-03-11 07:00:05,303 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 10/121 +[2025-03-11 07:00:05,329 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 11/121 +[2025-03-11 07:00:05,357 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 12/121 +[2025-03-11 07:00:05,382 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 13/121 +[2025-03-11 07:00:05,413 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 14/121 +[2025-03-11 07:00:05,444 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 15/121 +[2025-03-11 07:00:05,474 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 16/121 +[2025-03-11 07:00:05,506 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 17/121 +[2025-03-11 07:00:05,534 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 18/121 +[2025-03-11 07:00:05,560 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 19/121 +[2025-03-11 07:00:05,587 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 20/121 +[2025-03-11 07:00:05,613 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 21/121 +[2025-03-11 07:00:05,639 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 22/121 +[2025-03-11 07:00:05,665 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 23/121 +[2025-03-11 07:00:05,691 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 24/121 +[2025-03-11 07:00:05,717 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 25/121 +[2025-03-11 07:00:05,744 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 26/121 +[2025-03-11 07:00:05,770 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 27/121 +[2025-03-11 07:00:05,795 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 28/121 +[2025-03-11 07:00:05,823 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 29/121 +[2025-03-11 07:00:05,849 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 30/121 +[2025-03-11 07:00:05,875 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 31/121 +[2025-03-11 07:00:05,901 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 32/121 +[2025-03-11 07:00:05,927 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 33/121 +[2025-03-11 07:00:05,953 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 34/121 +[2025-03-11 07:00:05,978 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 35/121 +[2025-03-11 07:00:06,039 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 36/121 +[2025-03-11 07:00:06,065 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 37/121 +[2025-03-11 07:00:06,092 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 38/121 +[2025-03-11 07:00:06,118 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 39/121 +[2025-03-11 07:00:06,146 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 40/121 +[2025-03-11 07:00:06,176 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 41/121 +[2025-03-11 07:00:06,208 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 42/121 +[2025-03-11 07:00:06,241 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 43/121 +[2025-03-11 07:00:06,272 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 44/121 +[2025-03-11 07:00:06,305 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 45/121 +[2025-03-11 07:00:06,337 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 46/121 +[2025-03-11 07:00:06,368 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 47/121 +[2025-03-11 07:00:06,399 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 48/121 +[2025-03-11 07:00:06,429 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 49/121 +[2025-03-11 07:00:06,458 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 50/121 +[2025-03-11 07:00:06,496 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 51/121 +[2025-03-11 07:00:06,540 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 52/121 +[2025-03-11 07:00:06,578 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 53/121 +[2025-03-11 07:00:06,616 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 54/121 +[2025-03-11 07:00:06,656 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 55/121 +[2025-03-11 07:00:06,710 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 56/121 +[2025-03-11 07:00:06,737 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 57/121 +[2025-03-11 07:00:06,761 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 58/121 +[2025-03-11 07:00:06,788 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 59/121 +[2025-03-11 07:00:06,815 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 60/121 +[2025-03-11 07:00:06,840 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 61/121 +[2025-03-11 07:00:06,866 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 62/121 +[2025-03-11 07:00:06,900 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 63/121 +[2025-03-11 07:00:06,928 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 64/121 +[2025-03-11 07:00:06,955 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 65/121 +[2025-03-11 07:00:06,981 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 66/121 +[2025-03-11 07:00:07,006 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 67/121 +[2025-03-11 07:00:07,030 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 68/121 +[2025-03-11 07:00:07,059 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 69/121 +[2025-03-11 07:00:07,084 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 70/121 +[2025-03-11 07:00:07,111 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 71/121 +[2025-03-11 07:00:07,135 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 72/121 +[2025-03-11 07:00:07,160 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 73/121 +[2025-03-11 07:00:07,185 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 74/121 +[2025-03-11 07:00:07,210 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 75/121 +[2025-03-11 07:00:07,235 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 76/121 +[2025-03-11 07:00:07,260 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 77/121 +[2025-03-11 07:00:07,284 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 78/121 +[2025-03-11 07:00:07,309 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 79/121 +[2025-03-11 07:00:07,339 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 80/121 +[2025-03-11 07:00:07,364 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 81/121 +[2025-03-11 07:00:07,390 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 82/121 +[2025-03-11 07:00:07,421 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 83/121 +[2025-03-11 07:00:07,447 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 84/121 +[2025-03-11 07:00:07,472 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 85/121 +[2025-03-11 07:00:07,507 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 86/121 +[2025-03-11 07:00:07,538 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 87/121 +[2025-03-11 07:00:07,565 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 88/121 +[2025-03-11 07:00:07,591 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 89/121 +[2025-03-11 07:00:07,624 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 90/121 +[2025-03-11 07:00:07,651 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 91/121 +[2025-03-11 07:00:07,676 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 92/121 +[2025-03-11 07:00:07,705 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 93/121 +[2025-03-11 07:00:07,731 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 94/121 +[2025-03-11 07:00:07,758 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 95/121 +[2025-03-11 07:00:07,799 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 96/121 +[2025-03-11 07:00:07,829 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 97/121 +[2025-03-11 07:00:07,856 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 98/121 +[2025-03-11 07:00:07,882 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 99/121 +[2025-03-11 07:00:07,909 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 100/121 +[2025-03-11 07:00:07,937 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 101/121 +[2025-03-11 07:00:07,964 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 102/121 +[2025-03-11 07:00:07,991 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 103/121 +[2025-03-11 07:00:08,019 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 104/121 +[2025-03-11 07:00:08,046 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 105/121 +[2025-03-11 07:00:08,073 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 106/121 +[2025-03-11 07:00:08,100 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 107/121 +[2025-03-11 07:00:08,127 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 108/121 +[2025-03-11 07:00:08,155 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 109/121 +[2025-03-11 07:00:08,182 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 110/121 +[2025-03-11 07:00:08,209 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 111/121 +[2025-03-11 07:00:08,236 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 112/121 +[2025-03-11 07:00:08,269 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 113/121 +[2025-03-11 07:00:08,295 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 114/121 +[2025-03-11 07:00:08,320 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 115/121 +[2025-03-11 07:00:08,352 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 116/121 +[2025-03-11 07:00:08,378 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 117/121 +[2025-03-11 07:00:08,404 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 118/121 +[2025-03-11 07:00:08,439 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 119/121 +[2025-03-11 07:00:08,466 INFO test.py line 201 2389709] Test: 51/78-scene0256_00, Batch: 120/121 +[2025-03-11 07:00:08,579 INFO test.py line 291 2389709] Test: scene0256_00 [51/78]-108517 Batch 3.619 (4.569) Accuracy 0.8862 (0.3761) mIoU 0.2597 (0.3025) +[2025-03-11 07:00:08,656 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 0/139 +[2025-03-11 07:00:08,689 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 1/139 +[2025-03-11 07:00:08,722 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 2/139 +[2025-03-11 07:00:08,755 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 3/139 +[2025-03-11 07:00:08,788 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 4/139 +[2025-03-11 07:00:08,821 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 5/139 +[2025-03-11 07:00:08,854 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 6/139 +[2025-03-11 07:00:08,888 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 7/139 +[2025-03-11 07:00:08,921 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 8/139 +[2025-03-11 07:00:08,956 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 9/139 +[2025-03-11 07:00:08,990 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 10/139 +[2025-03-11 07:00:09,025 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 11/139 +[2025-03-11 07:00:09,058 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 12/139 +[2025-03-11 07:00:09,093 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 13/139 +[2025-03-11 07:00:09,127 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 14/139 +[2025-03-11 07:00:09,168 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 15/139 +[2025-03-11 07:00:09,203 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 16/139 +[2025-03-11 07:00:09,236 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 17/139 +[2025-03-11 07:00:09,270 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 18/139 +[2025-03-11 07:00:09,306 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 19/139 +[2025-03-11 07:00:09,342 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 20/139 +[2025-03-11 07:00:09,378 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 21/139 +[2025-03-11 07:00:09,413 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 22/139 +[2025-03-11 07:00:09,447 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 23/139 +[2025-03-11 07:00:09,481 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 24/139 +[2025-03-11 07:00:09,515 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 25/139 +[2025-03-11 07:00:09,549 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 26/139 +[2025-03-11 07:00:09,581 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 27/139 +[2025-03-11 07:00:09,613 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 28/139 +[2025-03-11 07:00:09,647 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 29/139 +[2025-03-11 07:00:09,681 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 30/139 +[2025-03-11 07:00:09,714 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 31/139 +[2025-03-11 07:00:09,746 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 32/139 +[2025-03-11 07:00:09,778 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 33/139 +[2025-03-11 07:00:09,812 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 34/139 +[2025-03-11 07:00:09,844 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 35/139 +[2025-03-11 07:00:09,878 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 36/139 +[2025-03-11 07:00:09,910 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 37/139 +[2025-03-11 07:00:09,944 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 38/139 +[2025-03-11 07:00:09,978 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 39/139 +[2025-03-11 07:00:10,011 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 40/139 +[2025-03-11 07:00:10,044 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 41/139 +[2025-03-11 07:00:10,076 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 42/139 +[2025-03-11 07:00:10,110 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 43/139 +[2025-03-11 07:00:10,141 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 44/139 +[2025-03-11 07:00:10,173 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 45/139 +[2025-03-11 07:00:10,211 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 46/139 +[2025-03-11 07:00:10,243 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 47/139 +[2025-03-11 07:00:10,275 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 48/139 +[2025-03-11 07:00:10,307 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 49/139 +[2025-03-11 07:00:10,339 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 50/139 +[2025-03-11 07:00:10,373 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 51/139 +[2025-03-11 07:00:10,407 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 52/139 +[2025-03-11 07:00:10,459 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 53/139 +[2025-03-11 07:00:10,493 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 54/139 +[2025-03-11 07:00:10,526 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 55/139 +[2025-03-11 07:00:10,558 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 56/139 +[2025-03-11 07:00:10,590 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 57/139 +[2025-03-11 07:00:10,622 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 58/139 +[2025-03-11 07:00:10,654 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 59/139 +[2025-03-11 07:00:10,688 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 60/139 +[2025-03-11 07:00:10,739 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 61/139 +[2025-03-11 07:00:10,771 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 62/139 +[2025-03-11 07:00:10,803 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 63/139 +[2025-03-11 07:00:10,835 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 64/139 +[2025-03-11 07:00:10,866 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 65/139 +[2025-03-11 07:00:10,898 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 66/139 +[2025-03-11 07:00:10,930 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 67/139 +[2025-03-11 07:00:10,962 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 68/139 +[2025-03-11 07:00:10,993 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 69/139 +[2025-03-11 07:00:11,025 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 70/139 +[2025-03-11 07:00:11,060 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 71/139 +[2025-03-11 07:00:11,092 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 72/139 +[2025-03-11 07:00:11,125 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 73/139 +[2025-03-11 07:00:11,158 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 74/139 +[2025-03-11 07:00:11,191 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 75/139 +[2025-03-11 07:00:11,223 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 76/139 +[2025-03-11 07:00:11,257 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 77/139 +[2025-03-11 07:00:11,289 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 78/139 +[2025-03-11 07:00:11,321 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 79/139 +[2025-03-11 07:00:11,354 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 80/139 +[2025-03-11 07:00:11,385 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 81/139 +[2025-03-11 07:00:11,417 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 82/139 +[2025-03-11 07:00:11,449 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 83/139 +[2025-03-11 07:00:11,481 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 84/139 +[2025-03-11 07:00:11,509 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 85/139 +[2025-03-11 07:00:11,537 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 86/139 +[2025-03-11 07:00:11,575 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 87/139 +[2025-03-11 07:00:11,608 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 88/139 +[2025-03-11 07:00:11,643 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 89/139 +[2025-03-11 07:00:11,678 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 90/139 +[2025-03-11 07:00:11,714 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 91/139 +[2025-03-11 07:00:11,750 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 92/139 +[2025-03-11 07:00:11,782 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 93/139 +[2025-03-11 07:00:11,816 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 94/139 +[2025-03-11 07:00:11,853 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 95/139 +[2025-03-11 07:00:11,895 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 96/139 +[2025-03-11 07:00:11,928 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 97/139 +[2025-03-11 07:00:11,962 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 98/139 +[2025-03-11 07:00:11,998 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 99/139 +[2025-03-11 07:00:12,137 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 100/139 +[2025-03-11 07:00:12,171 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 101/139 +[2025-03-11 07:00:12,213 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 102/139 +[2025-03-11 07:00:12,243 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 103/139 +[2025-03-11 07:00:12,284 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 104/139 +[2025-03-11 07:00:12,320 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 105/139 +[2025-03-11 07:00:12,350 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 106/139 +[2025-03-11 07:00:12,380 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 107/139 +[2025-03-11 07:00:12,413 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 108/139 +[2025-03-11 07:00:12,443 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 109/139 +[2025-03-11 07:00:12,479 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 110/139 +[2025-03-11 07:00:12,510 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 111/139 +[2025-03-11 07:00:12,547 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 112/139 +[2025-03-11 07:00:12,578 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 113/139 +[2025-03-11 07:00:12,608 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 114/139 +[2025-03-11 07:00:12,639 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 115/139 +[2025-03-11 07:00:12,669 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 116/139 +[2025-03-11 07:00:12,702 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 117/139 +[2025-03-11 07:00:12,759 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 118/139 +[2025-03-11 07:00:12,788 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 119/139 +[2025-03-11 07:00:12,818 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 120/139 +[2025-03-11 07:00:12,848 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 121/139 +[2025-03-11 07:00:12,881 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 122/139 +[2025-03-11 07:00:12,914 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 123/139 +[2025-03-11 07:00:12,949 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 124/139 +[2025-03-11 07:00:12,990 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 125/139 +[2025-03-11 07:00:13,047 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 126/139 +[2025-03-11 07:00:13,088 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 127/139 +[2025-03-11 07:00:13,120 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 128/139 +[2025-03-11 07:00:13,154 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 129/139 +[2025-03-11 07:00:13,187 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 130/139 +[2025-03-11 07:00:13,220 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 131/139 +[2025-03-11 07:00:13,252 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 132/139 +[2025-03-11 07:00:13,285 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 133/139 +[2025-03-11 07:00:13,318 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 134/139 +[2025-03-11 07:00:13,358 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 135/139 +[2025-03-11 07:00:13,393 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 136/139 +[2025-03-11 07:00:13,425 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 137/139 +[2025-03-11 07:00:13,457 INFO test.py line 201 2389709] Test: 52/78-scene0221_00, Batch: 138/139 +[2025-03-11 07:00:13,652 INFO test.py line 291 2389709] Test: scene0221_00 [52/78]-185828 Batch 5.073 (4.579) Accuracy 0.8351 (0.3815) mIoU 0.3865 (0.3072) +[2025-03-11 07:00:13,694 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 0/155 +[2025-03-11 07:00:13,716 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 1/155 +[2025-03-11 07:00:13,747 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 2/155 +[2025-03-11 07:00:13,781 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 3/155 +[2025-03-11 07:00:13,815 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 4/155 +[2025-03-11 07:00:13,848 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 5/155 +[2025-03-11 07:00:13,880 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 6/155 +[2025-03-11 07:00:13,918 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 7/155 +[2025-03-11 07:00:13,951 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 8/155 +[2025-03-11 07:00:13,972 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 9/155 +[2025-03-11 07:00:13,994 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 10/155 +[2025-03-11 07:00:14,020 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 11/155 +[2025-03-11 07:00:14,043 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 12/155 +[2025-03-11 07:00:14,065 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 13/155 +[2025-03-11 07:00:14,096 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 14/155 +[2025-03-11 07:00:14,123 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 15/155 +[2025-03-11 07:00:14,147 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 16/155 +[2025-03-11 07:00:14,169 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 17/155 +[2025-03-11 07:00:14,194 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 18/155 +[2025-03-11 07:00:14,223 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 19/155 +[2025-03-11 07:00:14,249 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 20/155 +[2025-03-11 07:00:14,272 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 21/155 +[2025-03-11 07:00:14,293 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 22/155 +[2025-03-11 07:00:14,319 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 23/155 +[2025-03-11 07:00:14,342 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 24/155 +[2025-03-11 07:00:14,365 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 25/155 +[2025-03-11 07:00:14,387 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 26/155 +[2025-03-11 07:00:14,410 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 27/155 +[2025-03-11 07:00:14,432 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 28/155 +[2025-03-11 07:00:14,454 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 29/155 +[2025-03-11 07:00:14,486 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 30/155 +[2025-03-11 07:00:14,524 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 31/155 +[2025-03-11 07:00:14,563 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 32/155 +[2025-03-11 07:00:14,593 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 33/155 +[2025-03-11 07:00:14,616 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 34/155 +[2025-03-11 07:00:14,637 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 35/155 +[2025-03-11 07:00:14,659 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 36/155 +[2025-03-11 07:00:14,681 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 37/155 +[2025-03-11 07:00:14,703 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 38/155 +[2025-03-11 07:00:14,724 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 39/155 +[2025-03-11 07:00:14,746 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 40/155 +[2025-03-11 07:00:14,767 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 41/155 +[2025-03-11 07:00:14,789 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 42/155 +[2025-03-11 07:00:14,811 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 43/155 +[2025-03-11 07:00:14,832 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 44/155 +[2025-03-11 07:00:14,857 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 45/155 +[2025-03-11 07:00:14,879 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 46/155 +[2025-03-11 07:00:14,901 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 47/155 +[2025-03-11 07:00:14,922 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 48/155 +[2025-03-11 07:00:14,944 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 49/155 +[2025-03-11 07:00:14,966 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 50/155 +[2025-03-11 07:00:14,988 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 51/155 +[2025-03-11 07:00:15,033 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 52/155 +[2025-03-11 07:00:15,055 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 53/155 +[2025-03-11 07:00:15,079 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 54/155 +[2025-03-11 07:00:15,102 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 55/155 +[2025-03-11 07:00:15,124 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 56/155 +[2025-03-11 07:00:15,146 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 57/155 +[2025-03-11 07:00:15,168 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 58/155 +[2025-03-11 07:00:15,190 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 59/155 +[2025-03-11 07:00:15,212 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 60/155 +[2025-03-11 07:00:15,234 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 61/155 +[2025-03-11 07:00:15,256 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 62/155 +[2025-03-11 07:00:15,278 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 63/155 +[2025-03-11 07:00:15,300 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 64/155 +[2025-03-11 07:00:15,322 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 65/155 +[2025-03-11 07:00:15,344 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 66/155 +[2025-03-11 07:00:15,367 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 67/155 +[2025-03-11 07:00:15,389 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 68/155 +[2025-03-11 07:00:15,412 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 69/155 +[2025-03-11 07:00:15,434 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 70/155 +[2025-03-11 07:00:15,457 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 71/155 +[2025-03-11 07:00:15,479 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 72/155 +[2025-03-11 07:00:15,501 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 73/155 +[2025-03-11 07:00:15,524 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 74/155 +[2025-03-11 07:00:15,546 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 75/155 +[2025-03-11 07:00:15,568 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 76/155 +[2025-03-11 07:00:15,591 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 77/155 +[2025-03-11 07:00:15,614 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 78/155 +[2025-03-11 07:00:15,648 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 79/155 +[2025-03-11 07:00:15,675 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 80/155 +[2025-03-11 07:00:15,702 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 81/155 +[2025-03-11 07:00:15,741 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 82/155 +[2025-03-11 07:00:15,771 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 83/155 +[2025-03-11 07:00:15,797 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 84/155 +[2025-03-11 07:00:15,823 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 85/155 +[2025-03-11 07:00:15,857 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 86/155 +[2025-03-11 07:00:15,886 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 87/155 +[2025-03-11 07:00:15,913 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 88/155 +[2025-03-11 07:00:15,941 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 89/155 +[2025-03-11 07:00:15,968 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 90/155 +[2025-03-11 07:00:16,001 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 91/155 +[2025-03-11 07:00:16,037 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 92/155 +[2025-03-11 07:00:16,073 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 93/155 +[2025-03-11 07:00:16,114 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 94/155 +[2025-03-11 07:00:16,136 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 95/155 +[2025-03-11 07:00:16,158 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 96/155 +[2025-03-11 07:00:16,181 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 97/155 +[2025-03-11 07:00:16,203 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 98/155 +[2025-03-11 07:00:16,227 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 99/155 +[2025-03-11 07:00:16,271 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 100/155 +[2025-03-11 07:00:16,319 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 101/155 +[2025-03-11 07:00:16,341 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 102/155 +[2025-03-11 07:00:16,365 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 103/155 +[2025-03-11 07:00:16,406 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 104/155 +[2025-03-11 07:00:16,451 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 105/155 +[2025-03-11 07:00:16,481 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 106/155 +[2025-03-11 07:00:16,510 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 107/155 +[2025-03-11 07:00:16,538 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 108/155 +[2025-03-11 07:00:16,562 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 109/155 +[2025-03-11 07:00:16,587 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 110/155 +[2025-03-11 07:00:16,614 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 111/155 +[2025-03-11 07:00:16,636 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 112/155 +[2025-03-11 07:00:16,662 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 113/155 +[2025-03-11 07:00:16,684 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 114/155 +[2025-03-11 07:00:16,706 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 115/155 +[2025-03-11 07:00:16,734 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 116/155 +[2025-03-11 07:00:16,759 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 117/155 +[2025-03-11 07:00:16,780 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 118/155 +[2025-03-11 07:00:16,802 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 119/155 +[2025-03-11 07:00:16,824 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 120/155 +[2025-03-11 07:00:16,846 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 121/155 +[2025-03-11 07:00:16,867 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 122/155 +[2025-03-11 07:00:16,890 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 123/155 +[2025-03-11 07:00:16,913 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 124/155 +[2025-03-11 07:00:16,938 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 125/155 +[2025-03-11 07:00:16,966 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 126/155 +[2025-03-11 07:00:16,989 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 127/155 +[2025-03-11 07:00:17,010 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 128/155 +[2025-03-11 07:00:17,032 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 129/155 +[2025-03-11 07:00:17,054 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 130/155 +[2025-03-11 07:00:17,076 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 131/155 +[2025-03-11 07:00:17,098 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 132/155 +[2025-03-11 07:00:17,121 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 133/155 +[2025-03-11 07:00:17,149 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 134/155 +[2025-03-11 07:00:17,169 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 135/155 +[2025-03-11 07:00:17,191 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 136/155 +[2025-03-11 07:00:17,213 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 137/155 +[2025-03-11 07:00:17,235 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 138/155 +[2025-03-11 07:00:17,257 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 139/155 +[2025-03-11 07:00:17,286 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 140/155 +[2025-03-11 07:00:17,315 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 141/155 +[2025-03-11 07:00:17,337 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 142/155 +[2025-03-11 07:00:17,359 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 143/155 +[2025-03-11 07:00:17,382 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 144/155 +[2025-03-11 07:00:17,404 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 145/155 +[2025-03-11 07:00:17,427 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 146/155 +[2025-03-11 07:00:17,450 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 147/155 +[2025-03-11 07:00:17,471 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 148/155 +[2025-03-11 07:00:17,500 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 149/155 +[2025-03-11 07:00:17,522 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 150/155 +[2025-03-11 07:00:17,554 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 151/155 +[2025-03-11 07:00:17,591 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 152/155 +[2025-03-11 07:00:17,636 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 153/155 +[2025-03-11 07:00:17,669 INFO test.py line 201 2389709] Test: 53/78-scene0146_01, Batch: 154/155 +[2025-03-11 07:00:17,731 INFO test.py line 291 2389709] Test: scene0146_01 [53/78]-59330 Batch 4.079 (4.569) Accuracy 0.8459 (0.3812) mIoU 0.3057 (0.3067) +[2025-03-11 07:00:17,802 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 0/155 +[2025-03-11 07:00:17,838 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 1/155 +[2025-03-11 07:00:17,869 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 2/155 +[2025-03-11 07:00:17,904 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 3/155 +[2025-03-11 07:00:17,935 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 4/155 +[2025-03-11 07:00:17,965 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 5/155 +[2025-03-11 07:00:17,994 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 6/155 +[2025-03-11 07:00:18,025 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 7/155 +[2025-03-11 07:00:18,085 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 8/155 +[2025-03-11 07:00:18,115 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 9/155 +[2025-03-11 07:00:18,151 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 10/155 +[2025-03-11 07:00:18,182 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 11/155 +[2025-03-11 07:00:18,217 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 12/155 +[2025-03-11 07:00:18,253 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 13/155 +[2025-03-11 07:00:18,285 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 14/155 +[2025-03-11 07:00:18,317 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 15/155 +[2025-03-11 07:00:18,347 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 16/155 +[2025-03-11 07:00:18,376 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 17/155 +[2025-03-11 07:00:18,407 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 18/155 +[2025-03-11 07:00:18,442 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 19/155 +[2025-03-11 07:00:18,472 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 20/155 +[2025-03-11 07:00:18,501 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 21/155 +[2025-03-11 07:00:18,530 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 22/155 +[2025-03-11 07:00:18,560 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 23/155 +[2025-03-11 07:00:18,590 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 24/155 +[2025-03-11 07:00:18,621 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 25/155 +[2025-03-11 07:00:18,652 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 26/155 +[2025-03-11 07:00:18,681 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 27/155 +[2025-03-11 07:00:18,712 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 28/155 +[2025-03-11 07:00:18,742 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 29/155 +[2025-03-11 07:00:18,773 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 30/155 +[2025-03-11 07:00:18,816 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 31/155 +[2025-03-11 07:00:18,856 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 32/155 +[2025-03-11 07:00:18,891 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 33/155 +[2025-03-11 07:00:18,930 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 34/155 +[2025-03-11 07:00:18,975 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 35/155 +[2025-03-11 07:00:19,009 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 36/155 +[2025-03-11 07:00:19,043 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 37/155 +[2025-03-11 07:00:19,079 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 38/155 +[2025-03-11 07:00:19,114 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 39/155 +[2025-03-11 07:00:19,163 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 40/155 +[2025-03-11 07:00:19,194 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 41/155 +[2025-03-11 07:00:19,228 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 42/155 +[2025-03-11 07:00:19,260 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 43/155 +[2025-03-11 07:00:19,290 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 44/155 +[2025-03-11 07:00:19,322 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 45/155 +[2025-03-11 07:00:19,355 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 46/155 +[2025-03-11 07:00:19,386 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 47/155 +[2025-03-11 07:00:19,418 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 48/155 +[2025-03-11 07:00:19,447 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 49/155 +[2025-03-11 07:00:19,477 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 50/155 +[2025-03-11 07:00:19,515 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 51/155 +[2025-03-11 07:00:19,555 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 52/155 +[2025-03-11 07:00:19,584 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 53/155 +[2025-03-11 07:00:19,614 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 54/155 +[2025-03-11 07:00:19,647 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 55/155 +[2025-03-11 07:00:19,692 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 56/155 +[2025-03-11 07:00:19,745 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 57/155 +[2025-03-11 07:00:19,776 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 58/155 +[2025-03-11 07:00:19,808 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 59/155 +[2025-03-11 07:00:19,843 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 60/155 +[2025-03-11 07:00:19,883 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 61/155 +[2025-03-11 07:00:19,913 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 62/155 +[2025-03-11 07:00:19,945 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 63/155 +[2025-03-11 07:00:19,976 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 64/155 +[2025-03-11 07:00:20,007 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 65/155 +[2025-03-11 07:00:20,038 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 66/155 +[2025-03-11 07:00:20,069 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 67/155 +[2025-03-11 07:00:20,101 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 68/155 +[2025-03-11 07:00:20,130 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 69/155 +[2025-03-11 07:00:20,161 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 70/155 +[2025-03-11 07:00:20,192 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 71/155 +[2025-03-11 07:00:20,222 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 72/155 +[2025-03-11 07:00:20,255 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 73/155 +[2025-03-11 07:00:20,287 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 74/155 +[2025-03-11 07:00:20,317 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 75/155 +[2025-03-11 07:00:20,346 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 76/155 +[2025-03-11 07:00:20,376 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 77/155 +[2025-03-11 07:00:20,408 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 78/155 +[2025-03-11 07:00:20,437 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 79/155 +[2025-03-11 07:00:20,467 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 80/155 +[2025-03-11 07:00:20,496 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 81/155 +[2025-03-11 07:00:20,529 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 82/155 +[2025-03-11 07:00:20,559 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 83/155 +[2025-03-11 07:00:20,588 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 84/155 +[2025-03-11 07:00:20,620 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 85/155 +[2025-03-11 07:00:20,655 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 86/155 +[2025-03-11 07:00:20,685 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 87/155 +[2025-03-11 07:00:20,715 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 88/155 +[2025-03-11 07:00:20,745 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 89/155 +[2025-03-11 07:00:20,775 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 90/155 +[2025-03-11 07:00:20,806 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 91/155 +[2025-03-11 07:00:20,838 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 92/155 +[2025-03-11 07:00:20,881 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 93/155 +[2025-03-11 07:00:20,913 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 94/155 +[2025-03-11 07:00:20,943 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 95/155 +[2025-03-11 07:00:20,973 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 96/155 +[2025-03-11 07:00:21,004 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 97/155 +[2025-03-11 07:00:21,035 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 98/155 +[2025-03-11 07:00:21,066 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 99/155 +[2025-03-11 07:00:21,100 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 100/155 +[2025-03-11 07:00:21,135 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 101/155 +[2025-03-11 07:00:21,166 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 102/155 +[2025-03-11 07:00:21,226 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 103/155 +[2025-03-11 07:00:21,258 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 104/155 +[2025-03-11 07:00:21,289 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 105/155 +[2025-03-11 07:00:21,320 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 106/155 +[2025-03-11 07:00:21,351 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 107/155 +[2025-03-11 07:00:21,387 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 108/155 +[2025-03-11 07:00:21,420 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 109/155 +[2025-03-11 07:00:21,451 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 110/155 +[2025-03-11 07:00:21,482 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 111/155 +[2025-03-11 07:00:21,514 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 112/155 +[2025-03-11 07:00:21,546 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 113/155 +[2025-03-11 07:00:21,578 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 114/155 +[2025-03-11 07:00:21,609 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 115/155 +[2025-03-11 07:00:21,641 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 116/155 +[2025-03-11 07:00:21,674 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 117/155 +[2025-03-11 07:00:21,708 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 118/155 +[2025-03-11 07:00:21,754 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 119/155 +[2025-03-11 07:00:21,786 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 120/155 +[2025-03-11 07:00:21,818 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 121/155 +[2025-03-11 07:00:21,849 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 122/155 +[2025-03-11 07:00:21,880 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 123/155 +[2025-03-11 07:00:21,911 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 124/155 +[2025-03-11 07:00:21,943 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 125/155 +[2025-03-11 07:00:21,976 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 126/155 +[2025-03-11 07:00:22,009 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 127/155 +[2025-03-11 07:00:22,041 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 128/155 +[2025-03-11 07:00:22,074 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 129/155 +[2025-03-11 07:00:22,106 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 130/155 +[2025-03-11 07:00:22,137 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 131/155 +[2025-03-11 07:00:22,169 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 132/155 +[2025-03-11 07:00:22,201 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 133/155 +[2025-03-11 07:00:22,232 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 134/155 +[2025-03-11 07:00:22,262 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 135/155 +[2025-03-11 07:00:22,293 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 136/155 +[2025-03-11 07:00:22,325 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 137/155 +[2025-03-11 07:00:22,358 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 138/155 +[2025-03-11 07:00:22,389 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 139/155 +[2025-03-11 07:00:22,421 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 140/155 +[2025-03-11 07:00:22,452 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 141/155 +[2025-03-11 07:00:22,483 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 142/155 +[2025-03-11 07:00:22,514 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 143/155 +[2025-03-11 07:00:22,550 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 144/155 +[2025-03-11 07:00:22,582 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 145/155 +[2025-03-11 07:00:22,613 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 146/155 +[2025-03-11 07:00:22,644 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 147/155 +[2025-03-11 07:00:22,676 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 148/155 +[2025-03-11 07:00:22,707 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 149/155 +[2025-03-11 07:00:22,738 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 150/155 +[2025-03-11 07:00:22,769 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 151/155 +[2025-03-11 07:00:22,799 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 152/155 +[2025-03-11 07:00:22,830 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 153/155 +[2025-03-11 07:00:22,862 INFO test.py line 201 2389709] Test: 54/78-scene0697_03, Batch: 154/155 +[2025-03-11 07:00:23,052 INFO test.py line 291 2389709] Test: scene0697_03 [54/78]-165912 Batch 5.320 (4.583) Accuracy 0.6696 (0.3816) mIoU 0.2108 (0.3068) +[2025-03-11 07:00:23,122 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 0/126 +[2025-03-11 07:00:23,151 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 1/126 +[2025-03-11 07:00:23,179 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 2/126 +[2025-03-11 07:00:23,220 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 3/126 +[2025-03-11 07:00:23,249 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 4/126 +[2025-03-11 07:00:23,278 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 5/126 +[2025-03-11 07:00:23,306 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 6/126 +[2025-03-11 07:00:23,334 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 7/126 +[2025-03-11 07:00:23,362 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 8/126 +[2025-03-11 07:00:23,391 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 9/126 +[2025-03-11 07:00:23,419 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 10/126 +[2025-03-11 07:00:23,447 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 11/126 +[2025-03-11 07:00:23,475 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 12/126 +[2025-03-11 07:00:23,503 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 13/126 +[2025-03-11 07:00:23,531 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 14/126 +[2025-03-11 07:00:23,561 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 15/126 +[2025-03-11 07:00:23,590 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 16/126 +[2025-03-11 07:00:23,619 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 17/126 +[2025-03-11 07:00:23,647 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 18/126 +[2025-03-11 07:00:23,676 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 19/126 +[2025-03-11 07:00:23,706 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 20/126 +[2025-03-11 07:00:23,735 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 21/126 +[2025-03-11 07:00:23,765 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 22/126 +[2025-03-11 07:00:23,795 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 23/126 +[2025-03-11 07:00:23,825 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 24/126 +[2025-03-11 07:00:23,853 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 25/126 +[2025-03-11 07:00:23,880 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 26/126 +[2025-03-11 07:00:23,908 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 27/126 +[2025-03-11 07:00:23,937 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 28/126 +[2025-03-11 07:00:23,966 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 29/126 +[2025-03-11 07:00:23,995 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 30/126 +[2025-03-11 07:00:24,030 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 31/126 +[2025-03-11 07:00:24,070 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 32/126 +[2025-03-11 07:00:24,113 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 33/126 +[2025-03-11 07:00:24,156 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 34/126 +[2025-03-11 07:00:24,197 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 35/126 +[2025-03-11 07:00:24,225 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 36/126 +[2025-03-11 07:00:24,254 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 37/126 +[2025-03-11 07:00:24,284 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 38/126 +[2025-03-11 07:00:24,341 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 39/126 +[2025-03-11 07:00:24,368 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 40/126 +[2025-03-11 07:00:24,395 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 41/126 +[2025-03-11 07:00:24,422 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 42/126 +[2025-03-11 07:00:24,450 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 43/126 +[2025-03-11 07:00:24,479 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 44/126 +[2025-03-11 07:00:24,508 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 45/126 +[2025-03-11 07:00:24,537 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 46/126 +[2025-03-11 07:00:24,566 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 47/126 +[2025-03-11 07:00:24,592 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 48/126 +[2025-03-11 07:00:24,623 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 49/126 +[2025-03-11 07:00:24,651 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 50/126 +[2025-03-11 07:00:24,678 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 51/126 +[2025-03-11 07:00:24,705 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 52/126 +[2025-03-11 07:00:24,735 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 53/126 +[2025-03-11 07:00:24,763 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 54/126 +[2025-03-11 07:00:24,791 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 55/126 +[2025-03-11 07:00:24,819 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 56/126 +[2025-03-11 07:00:24,873 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 57/126 +[2025-03-11 07:00:24,907 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 58/126 +[2025-03-11 07:00:24,934 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 59/126 +[2025-03-11 07:00:24,960 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 60/126 +[2025-03-11 07:00:24,987 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 61/126 +[2025-03-11 07:00:25,015 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 62/126 +[2025-03-11 07:00:25,042 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 63/126 +[2025-03-11 07:00:25,070 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 64/126 +[2025-03-11 07:00:25,097 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 65/126 +[2025-03-11 07:00:25,124 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 66/126 +[2025-03-11 07:00:25,151 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 67/126 +[2025-03-11 07:00:25,178 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 68/126 +[2025-03-11 07:00:25,205 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 69/126 +[2025-03-11 07:00:25,233 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 70/126 +[2025-03-11 07:00:25,259 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 71/126 +[2025-03-11 07:00:25,286 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 72/126 +[2025-03-11 07:00:25,313 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 73/126 +[2025-03-11 07:00:25,339 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 74/126 +[2025-03-11 07:00:25,366 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 75/126 +[2025-03-11 07:00:25,392 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 76/126 +[2025-03-11 07:00:25,445 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 77/126 +[2025-03-11 07:00:25,471 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 78/126 +[2025-03-11 07:00:25,497 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 79/126 +[2025-03-11 07:00:25,523 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 80/126 +[2025-03-11 07:00:25,548 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 81/126 +[2025-03-11 07:00:25,574 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 82/126 +[2025-03-11 07:00:25,606 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 83/126 +[2025-03-11 07:00:25,634 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 84/126 +[2025-03-11 07:00:25,665 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 85/126 +[2025-03-11 07:00:25,703 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 86/126 +[2025-03-11 07:00:25,731 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 87/126 +[2025-03-11 07:00:25,760 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 88/126 +[2025-03-11 07:00:25,788 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 89/126 +[2025-03-11 07:00:25,817 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 90/126 +[2025-03-11 07:00:25,846 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 91/126 +[2025-03-11 07:00:25,875 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 92/126 +[2025-03-11 07:00:25,904 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 93/126 +[2025-03-11 07:00:25,932 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 94/126 +[2025-03-11 07:00:25,961 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 95/126 +[2025-03-11 07:00:25,993 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 96/126 +[2025-03-11 07:00:26,023 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 97/126 +[2025-03-11 07:00:26,050 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 98/126 +[2025-03-11 07:00:26,083 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 99/126 +[2025-03-11 07:00:26,111 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 100/126 +[2025-03-11 07:00:26,140 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 101/126 +[2025-03-11 07:00:26,169 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 102/126 +[2025-03-11 07:00:26,196 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 103/126 +[2025-03-11 07:00:26,226 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 104/126 +[2025-03-11 07:00:26,259 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 105/126 +[2025-03-11 07:00:26,299 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 106/126 +[2025-03-11 07:00:26,334 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 107/126 +[2025-03-11 07:00:26,370 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 108/126 +[2025-03-11 07:00:26,405 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 109/126 +[2025-03-11 07:00:26,440 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 110/126 +[2025-03-11 07:00:26,477 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 111/126 +[2025-03-11 07:00:26,514 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 112/126 +[2025-03-11 07:00:26,551 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 113/126 +[2025-03-11 07:00:26,585 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 114/126 +[2025-03-11 07:00:26,629 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 115/126 +[2025-03-11 07:00:26,664 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 116/126 +[2025-03-11 07:00:26,697 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 117/126 +[2025-03-11 07:00:26,731 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 118/126 +[2025-03-11 07:00:26,766 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 119/126 +[2025-03-11 07:00:26,802 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 120/126 +[2025-03-11 07:00:26,837 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 121/126 +[2025-03-11 07:00:26,900 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 122/126 +[2025-03-11 07:00:26,942 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 123/126 +[2025-03-11 07:00:26,971 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 124/126 +[2025-03-11 07:00:27,000 INFO test.py line 201 2389709] Test: 55/78-scene0655_02, Batch: 125/126 +[2025-03-11 07:00:27,163 INFO test.py line 291 2389709] Test: scene0655_02 [55/78]-133857 Batch 4.110 (4.574) Accuracy 0.8828 (0.3817) mIoU 0.6487 (0.3069) +[2025-03-11 07:00:27,207 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 0/138 +[2025-03-11 07:00:27,232 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 1/138 +[2025-03-11 07:00:27,261 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 2/138 +[2025-03-11 07:00:27,286 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 3/138 +[2025-03-11 07:00:27,313 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 4/138 +[2025-03-11 07:00:27,338 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 5/138 +[2025-03-11 07:00:27,362 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 6/138 +[2025-03-11 07:00:27,406 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 7/138 +[2025-03-11 07:00:27,431 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 8/138 +[2025-03-11 07:00:27,459 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 9/138 +[2025-03-11 07:00:27,488 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 10/138 +[2025-03-11 07:00:27,516 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 11/138 +[2025-03-11 07:00:27,545 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 12/138 +[2025-03-11 07:00:27,574 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 13/138 +[2025-03-11 07:00:27,601 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 14/138 +[2025-03-11 07:00:27,625 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 15/138 +[2025-03-11 07:00:27,653 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 16/138 +[2025-03-11 07:00:27,685 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 17/138 +[2025-03-11 07:00:27,712 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 18/138 +[2025-03-11 07:00:27,736 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 19/138 +[2025-03-11 07:00:27,762 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 20/138 +[2025-03-11 07:00:27,786 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 21/138 +[2025-03-11 07:00:27,818 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 22/138 +[2025-03-11 07:00:27,851 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 23/138 +[2025-03-11 07:00:27,894 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 24/138 +[2025-03-11 07:00:27,935 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 25/138 +[2025-03-11 07:00:27,963 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 26/138 +[2025-03-11 07:00:27,995 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 27/138 +[2025-03-11 07:00:28,040 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 28/138 +[2025-03-11 07:00:28,084 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 29/138 +[2025-03-11 07:00:28,133 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 30/138 +[2025-03-11 07:00:28,185 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 31/138 +[2025-03-11 07:00:28,235 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 32/138 +[2025-03-11 07:00:28,265 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 33/138 +[2025-03-11 07:00:28,300 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 34/138 +[2025-03-11 07:00:28,333 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 35/138 +[2025-03-11 07:00:28,364 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 36/138 +[2025-03-11 07:00:28,388 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 37/138 +[2025-03-11 07:00:28,413 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 38/138 +[2025-03-11 07:00:28,437 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 39/138 +[2025-03-11 07:00:28,462 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 40/138 +[2025-03-11 07:00:28,487 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 41/138 +[2025-03-11 07:00:28,513 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 42/138 +[2025-03-11 07:00:28,537 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 43/138 +[2025-03-11 07:00:28,561 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 44/138 +[2025-03-11 07:00:28,586 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 45/138 +[2025-03-11 07:00:28,611 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 46/138 +[2025-03-11 07:00:28,635 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 47/138 +[2025-03-11 07:00:28,658 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 48/138 +[2025-03-11 07:00:28,683 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 49/138 +[2025-03-11 07:00:28,707 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 50/138 +[2025-03-11 07:00:28,737 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 51/138 +[2025-03-11 07:00:28,761 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 52/138 +[2025-03-11 07:00:28,784 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 53/138 +[2025-03-11 07:00:28,808 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 54/138 +[2025-03-11 07:00:28,832 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 55/138 +[2025-03-11 07:00:28,857 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 56/138 +[2025-03-11 07:00:28,890 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 57/138 +[2025-03-11 07:00:28,921 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 58/138 +[2025-03-11 07:00:28,944 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 59/138 +[2025-03-11 07:00:28,967 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 60/138 +[2025-03-11 07:00:28,998 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 61/138 +[2025-03-11 07:00:29,023 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 62/138 +[2025-03-11 07:00:29,045 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 63/138 +[2025-03-11 07:00:29,075 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 64/138 +[2025-03-11 07:00:29,099 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 65/138 +[2025-03-11 07:00:29,134 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 66/138 +[2025-03-11 07:00:29,161 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 67/138 +[2025-03-11 07:00:29,186 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 68/138 +[2025-03-11 07:00:29,214 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 69/138 +[2025-03-11 07:00:29,239 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 70/138 +[2025-03-11 07:00:29,269 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 71/138 +[2025-03-11 07:00:29,295 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 72/138 +[2025-03-11 07:00:29,322 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 73/138 +[2025-03-11 07:00:29,348 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 74/138 +[2025-03-11 07:00:29,376 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 75/138 +[2025-03-11 07:00:29,410 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 76/138 +[2025-03-11 07:00:29,439 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 77/138 +[2025-03-11 07:00:29,471 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 78/138 +[2025-03-11 07:00:29,530 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 79/138 +[2025-03-11 07:00:29,557 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 80/138 +[2025-03-11 07:00:29,586 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 81/138 +[2025-03-11 07:00:29,617 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 82/138 +[2025-03-11 07:00:29,642 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 83/138 +[2025-03-11 07:00:29,670 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 84/138 +[2025-03-11 07:00:29,706 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 85/138 +[2025-03-11 07:00:29,736 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 86/138 +[2025-03-11 07:00:29,762 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 87/138 +[2025-03-11 07:00:29,803 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 88/138 +[2025-03-11 07:00:29,830 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 89/138 +[2025-03-11 07:00:29,857 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 90/138 +[2025-03-11 07:00:29,885 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 91/138 +[2025-03-11 07:00:29,917 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 92/138 +[2025-03-11 07:00:29,951 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 93/138 +[2025-03-11 07:00:29,978 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 94/138 +[2025-03-11 07:00:30,013 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 95/138 +[2025-03-11 07:00:30,040 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 96/138 +[2025-03-11 07:00:30,066 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 97/138 +[2025-03-11 07:00:30,092 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 98/138 +[2025-03-11 07:00:30,131 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 99/138 +[2025-03-11 07:00:30,157 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 100/138 +[2025-03-11 07:00:30,183 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 101/138 +[2025-03-11 07:00:30,212 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 102/138 +[2025-03-11 07:00:30,237 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 103/138 +[2025-03-11 07:00:30,288 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 104/138 +[2025-03-11 07:00:30,338 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 105/138 +[2025-03-11 07:00:30,367 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 106/138 +[2025-03-11 07:00:30,396 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 107/138 +[2025-03-11 07:00:30,422 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 108/138 +[2025-03-11 07:00:30,465 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 109/138 +[2025-03-11 07:00:30,492 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 110/138 +[2025-03-11 07:00:30,518 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 111/138 +[2025-03-11 07:00:30,545 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 112/138 +[2025-03-11 07:00:30,574 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 113/138 +[2025-03-11 07:00:30,601 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 114/138 +[2025-03-11 07:00:30,629 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 115/138 +[2025-03-11 07:00:30,660 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 116/138 +[2025-03-11 07:00:30,687 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 117/138 +[2025-03-11 07:00:30,716 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 118/138 +[2025-03-11 07:00:30,745 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 119/138 +[2025-03-11 07:00:30,771 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 120/138 +[2025-03-11 07:00:30,797 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 121/138 +[2025-03-11 07:00:30,825 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 122/138 +[2025-03-11 07:00:30,853 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 123/138 +[2025-03-11 07:00:30,879 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 124/138 +[2025-03-11 07:00:30,908 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 125/138 +[2025-03-11 07:00:30,939 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 126/138 +[2025-03-11 07:00:30,971 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 127/138 +[2025-03-11 07:00:30,999 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 128/138 +[2025-03-11 07:00:31,027 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 129/138 +[2025-03-11 07:00:31,058 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 130/138 +[2025-03-11 07:00:31,089 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 131/138 +[2025-03-11 07:00:31,142 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 132/138 +[2025-03-11 07:00:31,172 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 133/138 +[2025-03-11 07:00:31,201 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 134/138 +[2025-03-11 07:00:31,228 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 135/138 +[2025-03-11 07:00:31,253 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 136/138 +[2025-03-11 07:00:31,290 INFO test.py line 201 2389709] Test: 56/78-scene0553_02, Batch: 137/138 +[2025-03-11 07:00:31,386 INFO test.py line 291 2389709] Test: scene0553_02 [56/78]-67632 Batch 4.223 (4.568) Accuracy 0.8959 (0.3828) mIoU 0.4098 (0.3080) +[2025-03-11 07:00:31,469 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 0/143 +[2025-03-11 07:00:31,509 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 1/143 +[2025-03-11 07:00:31,543 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 2/143 +[2025-03-11 07:00:31,588 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 3/143 +[2025-03-11 07:00:31,637 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 4/143 +[2025-03-11 07:00:31,672 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 5/143 +[2025-03-11 07:00:31,710 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 6/143 +[2025-03-11 07:00:31,771 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 7/143 +[2025-03-11 07:00:31,806 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 8/143 +[2025-03-11 07:00:31,869 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 9/143 +[2025-03-11 07:00:31,904 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 10/143 +[2025-03-11 07:00:31,970 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 11/143 +[2025-03-11 07:00:32,037 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 12/143 +[2025-03-11 07:00:32,084 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 13/143 +[2025-03-11 07:00:32,118 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 14/143 +[2025-03-11 07:00:32,154 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 15/143 +[2025-03-11 07:00:32,190 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 16/143 +[2025-03-11 07:00:32,225 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 17/143 +[2025-03-11 07:00:32,261 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 18/143 +[2025-03-11 07:00:32,297 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 19/143 +[2025-03-11 07:00:32,359 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 20/143 +[2025-03-11 07:00:32,394 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 21/143 +[2025-03-11 07:00:32,431 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 22/143 +[2025-03-11 07:00:32,467 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 23/143 +[2025-03-11 07:00:32,506 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 24/143 +[2025-03-11 07:00:32,551 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 25/143 +[2025-03-11 07:00:32,588 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 26/143 +[2025-03-11 07:00:32,635 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 27/143 +[2025-03-11 07:00:32,673 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 28/143 +[2025-03-11 07:00:32,712 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 29/143 +[2025-03-11 07:00:32,760 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 30/143 +[2025-03-11 07:00:32,799 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 31/143 +[2025-03-11 07:00:32,844 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 32/143 +[2025-03-11 07:00:32,883 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 33/143 +[2025-03-11 07:00:32,928 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 34/143 +[2025-03-11 07:00:32,964 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 35/143 +[2025-03-11 07:00:33,002 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 36/143 +[2025-03-11 07:00:33,036 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 37/143 +[2025-03-11 07:00:33,071 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 38/143 +[2025-03-11 07:00:33,107 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 39/143 +[2025-03-11 07:00:33,142 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 40/143 +[2025-03-11 07:00:33,207 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 41/143 +[2025-03-11 07:00:33,242 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 42/143 +[2025-03-11 07:00:33,276 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 43/143 +[2025-03-11 07:00:33,312 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 44/143 +[2025-03-11 07:00:33,398 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 45/143 +[2025-03-11 07:00:33,438 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 46/143 +[2025-03-11 07:00:33,473 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 47/143 +[2025-03-11 07:00:33,507 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 48/143 +[2025-03-11 07:00:33,563 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 49/143 +[2025-03-11 07:00:33,603 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 50/143 +[2025-03-11 07:00:33,645 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 51/143 +[2025-03-11 07:00:33,678 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 52/143 +[2025-03-11 07:00:33,707 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 53/143 +[2025-03-11 07:00:33,762 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 54/143 +[2025-03-11 07:00:33,791 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 55/143 +[2025-03-11 07:00:33,827 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 56/143 +[2025-03-11 07:00:33,896 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 57/143 +[2025-03-11 07:00:33,927 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 58/143 +[2025-03-11 07:00:33,955 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 59/143 +[2025-03-11 07:00:34,012 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 60/143 +[2025-03-11 07:00:34,043 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 61/143 +[2025-03-11 07:00:34,080 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 62/143 +[2025-03-11 07:00:34,141 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 63/143 +[2025-03-11 07:00:34,174 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 64/143 +[2025-03-11 07:00:34,207 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 65/143 +[2025-03-11 07:00:34,242 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 66/143 +[2025-03-11 07:00:34,275 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 67/143 +[2025-03-11 07:00:34,312 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 68/143 +[2025-03-11 07:00:34,371 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 69/143 +[2025-03-11 07:00:34,404 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 70/143 +[2025-03-11 07:00:34,438 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 71/143 +[2025-03-11 07:00:34,471 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 72/143 +[2025-03-11 07:00:34,519 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 73/143 +[2025-03-11 07:00:34,580 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 74/143 +[2025-03-11 07:00:34,613 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 75/143 +[2025-03-11 07:00:34,644 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 76/143 +[2025-03-11 07:00:34,677 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 77/143 +[2025-03-11 07:00:34,709 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 78/143 +[2025-03-11 07:00:34,772 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 79/143 +[2025-03-11 07:00:34,804 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 80/143 +[2025-03-11 07:00:34,836 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 81/143 +[2025-03-11 07:00:34,869 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 82/143 +[2025-03-11 07:00:34,902 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 83/143 +[2025-03-11 07:00:34,935 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 84/143 +[2025-03-11 07:00:34,968 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 85/143 +[2025-03-11 07:00:35,021 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 86/143 +[2025-03-11 07:00:35,053 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 87/143 +[2025-03-11 07:00:35,094 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 88/143 +[2025-03-11 07:00:35,131 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 89/143 +[2025-03-11 07:00:35,163 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 90/143 +[2025-03-11 07:00:35,196 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 91/143 +[2025-03-11 07:00:35,229 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 92/143 +[2025-03-11 07:00:35,286 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 93/143 +[2025-03-11 07:00:35,355 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 94/143 +[2025-03-11 07:00:35,417 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 95/143 +[2025-03-11 07:00:35,479 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 96/143 +[2025-03-11 07:00:35,515 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 97/143 +[2025-03-11 07:00:35,551 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 98/143 +[2025-03-11 07:00:35,587 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 99/143 +[2025-03-11 07:00:35,623 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 100/143 +[2025-03-11 07:00:35,658 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 101/143 +[2025-03-11 07:00:35,719 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 102/143 +[2025-03-11 07:00:35,754 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 103/143 +[2025-03-11 07:00:35,788 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 104/143 +[2025-03-11 07:00:35,843 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 105/143 +[2025-03-11 07:00:35,878 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 106/143 +[2025-03-11 07:00:35,917 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 107/143 +[2025-03-11 07:00:35,984 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 108/143 +[2025-03-11 07:00:36,019 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 109/143 +[2025-03-11 07:00:36,065 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 110/143 +[2025-03-11 07:00:36,103 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 111/143 +[2025-03-11 07:00:36,170 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 112/143 +[2025-03-11 07:00:36,211 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 113/143 +[2025-03-11 07:00:36,246 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 114/143 +[2025-03-11 07:00:36,283 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 115/143 +[2025-03-11 07:00:36,320 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 116/143 +[2025-03-11 07:00:36,381 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 117/143 +[2025-03-11 07:00:36,415 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 118/143 +[2025-03-11 07:00:36,453 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 119/143 +[2025-03-11 07:00:36,498 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 120/143 +[2025-03-11 07:00:36,536 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 121/143 +[2025-03-11 07:00:36,583 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 122/143 +[2025-03-11 07:00:36,623 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 123/143 +[2025-03-11 07:00:36,670 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 124/143 +[2025-03-11 07:00:36,704 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 125/143 +[2025-03-11 07:00:36,739 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 126/143 +[2025-03-11 07:00:36,770 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 127/143 +[2025-03-11 07:00:36,799 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 128/143 +[2025-03-11 07:00:36,829 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 129/143 +[2025-03-11 07:00:36,858 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 130/143 +[2025-03-11 07:00:36,894 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 131/143 +[2025-03-11 07:00:36,923 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 132/143 +[2025-03-11 07:00:36,956 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 133/143 +[2025-03-11 07:00:36,984 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 134/143 +[2025-03-11 07:00:37,013 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 135/143 +[2025-03-11 07:00:37,042 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 136/143 +[2025-03-11 07:00:37,071 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 137/143 +[2025-03-11 07:00:37,100 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 138/143 +[2025-03-11 07:00:37,129 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 139/143 +[2025-03-11 07:00:37,170 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 140/143 +[2025-03-11 07:00:37,204 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 141/143 +[2025-03-11 07:00:37,233 INFO test.py line 201 2389709] Test: 57/78-scene0025_00, Batch: 142/143 +[2025-03-11 07:00:37,371 INFO test.py line 291 2389709] Test: scene0025_00 [57/78]-173392 Batch 5.985 (4.593) Accuracy 0.6871 (0.3809) mIoU 0.2447 (0.3059) +[2025-03-11 07:00:37,403 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 0/108 +[2025-03-11 07:00:37,423 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 1/108 +[2025-03-11 07:00:37,452 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 2/108 +[2025-03-11 07:00:37,470 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 3/108 +[2025-03-11 07:00:37,489 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 4/108 +[2025-03-11 07:00:37,507 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 5/108 +[2025-03-11 07:00:37,525 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 6/108 +[2025-03-11 07:00:37,542 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 7/108 +[2025-03-11 07:00:37,560 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 8/108 +[2025-03-11 07:00:37,577 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 9/108 +[2025-03-11 07:00:37,594 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 10/108 +[2025-03-11 07:00:37,611 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 11/108 +[2025-03-11 07:00:37,628 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 12/108 +[2025-03-11 07:00:37,645 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 13/108 +[2025-03-11 07:00:37,664 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 14/108 +[2025-03-11 07:00:37,683 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 15/108 +[2025-03-11 07:00:37,700 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 16/108 +[2025-03-11 07:00:37,717 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 17/108 +[2025-03-11 07:00:37,734 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 18/108 +[2025-03-11 07:00:37,753 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 19/108 +[2025-03-11 07:00:37,769 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 20/108 +[2025-03-11 07:00:37,787 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 21/108 +[2025-03-11 07:00:37,829 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 22/108 +[2025-03-11 07:00:37,849 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 23/108 +[2025-03-11 07:00:37,867 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 24/108 +[2025-03-11 07:00:37,886 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 25/108 +[2025-03-11 07:00:37,907 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 26/108 +[2025-03-11 07:00:37,926 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 27/108 +[2025-03-11 07:00:37,944 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 28/108 +[2025-03-11 07:00:37,966 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 29/108 +[2025-03-11 07:00:37,984 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 30/108 +[2025-03-11 07:00:38,005 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 31/108 +[2025-03-11 07:00:38,024 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 32/108 +[2025-03-11 07:00:38,050 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 33/108 +[2025-03-11 07:00:38,069 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 34/108 +[2025-03-11 07:00:38,090 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 35/108 +[2025-03-11 07:00:38,109 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 36/108 +[2025-03-11 07:00:38,127 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 37/108 +[2025-03-11 07:00:38,145 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 38/108 +[2025-03-11 07:00:38,163 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 39/108 +[2025-03-11 07:00:38,181 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 40/108 +[2025-03-11 07:00:38,199 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 41/108 +[2025-03-11 07:00:38,216 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 42/108 +[2025-03-11 07:00:38,236 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 43/108 +[2025-03-11 07:00:38,253 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 44/108 +[2025-03-11 07:00:38,272 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 45/108 +[2025-03-11 07:00:38,290 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 46/108 +[2025-03-11 07:00:38,308 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 47/108 +[2025-03-11 07:00:38,326 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 48/108 +[2025-03-11 07:00:38,345 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 49/108 +[2025-03-11 07:00:38,362 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 50/108 +[2025-03-11 07:00:38,380 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 51/108 +[2025-03-11 07:00:38,399 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 52/108 +[2025-03-11 07:00:38,418 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 53/108 +[2025-03-11 07:00:38,436 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 54/108 +[2025-03-11 07:00:38,454 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 55/108 +[2025-03-11 07:00:38,474 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 56/108 +[2025-03-11 07:00:38,492 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 57/108 +[2025-03-11 07:00:38,511 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 58/108 +[2025-03-11 07:00:38,529 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 59/108 +[2025-03-11 07:00:38,547 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 60/108 +[2025-03-11 07:00:38,565 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 61/108 +[2025-03-11 07:00:38,584 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 62/108 +[2025-03-11 07:00:38,601 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 63/108 +[2025-03-11 07:00:38,619 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 64/108 +[2025-03-11 07:00:38,637 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 65/108 +[2025-03-11 07:00:38,660 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 66/108 +[2025-03-11 07:00:38,678 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 67/108 +[2025-03-11 07:00:38,695 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 68/108 +[2025-03-11 07:00:38,714 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 69/108 +[2025-03-11 07:00:38,732 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 70/108 +[2025-03-11 07:00:38,756 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 71/108 +[2025-03-11 07:00:38,776 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 72/108 +[2025-03-11 07:00:38,794 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 73/108 +[2025-03-11 07:00:38,813 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 74/108 +[2025-03-11 07:00:38,832 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 75/108 +[2025-03-11 07:00:38,851 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 76/108 +[2025-03-11 07:00:38,869 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 77/108 +[2025-03-11 07:00:38,887 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 78/108 +[2025-03-11 07:00:38,905 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 79/108 +[2025-03-11 07:00:38,922 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 80/108 +[2025-03-11 07:00:38,941 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 81/108 +[2025-03-11 07:00:38,959 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 82/108 +[2025-03-11 07:00:38,978 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 83/108 +[2025-03-11 07:00:38,997 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 84/108 +[2025-03-11 07:00:39,015 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 85/108 +[2025-03-11 07:00:39,033 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 86/108 +[2025-03-11 07:00:39,052 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 87/108 +[2025-03-11 07:00:39,070 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 88/108 +[2025-03-11 07:00:39,087 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 89/108 +[2025-03-11 07:00:39,106 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 90/108 +[2025-03-11 07:00:39,123 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 91/108 +[2025-03-11 07:00:39,142 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 92/108 +[2025-03-11 07:00:39,160 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 93/108 +[2025-03-11 07:00:39,181 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 94/108 +[2025-03-11 07:00:39,199 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 95/108 +[2025-03-11 07:00:39,218 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 96/108 +[2025-03-11 07:00:39,235 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 97/108 +[2025-03-11 07:00:39,252 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 98/108 +[2025-03-11 07:00:39,269 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 99/108 +[2025-03-11 07:00:39,287 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 100/108 +[2025-03-11 07:00:39,306 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 101/108 +[2025-03-11 07:00:39,325 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 102/108 +[2025-03-11 07:00:39,343 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 103/108 +[2025-03-11 07:00:39,361 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 104/108 +[2025-03-11 07:00:39,379 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 105/108 +[2025-03-11 07:00:39,396 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 106/108 +[2025-03-11 07:00:39,415 INFO test.py line 201 2389709] Test: 58/78-scene0693_02, Batch: 107/108 +[2025-03-11 07:00:39,457 INFO test.py line 291 2389709] Test: scene0693_02 [58/78]-47996 Batch 2.085 (4.550) Accuracy 0.8971 (0.3828) mIoU 0.4063 (0.3069) +[2025-03-11 07:00:39,543 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 0/138 +[2025-03-11 07:00:39,579 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 1/138 +[2025-03-11 07:00:39,614 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 2/138 +[2025-03-11 07:00:39,649 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 3/138 +[2025-03-11 07:00:39,684 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 4/138 +[2025-03-11 07:00:39,722 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 5/138 +[2025-03-11 07:00:39,758 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 6/138 +[2025-03-11 07:00:39,794 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 7/138 +[2025-03-11 07:00:39,830 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 8/138 +[2025-03-11 07:00:39,866 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 9/138 +[2025-03-11 07:00:39,902 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 10/138 +[2025-03-11 07:00:39,938 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 11/138 +[2025-03-11 07:00:39,974 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 12/138 +[2025-03-11 07:00:40,009 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 13/138 +[2025-03-11 07:00:40,045 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 14/138 +[2025-03-11 07:00:40,085 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 15/138 +[2025-03-11 07:00:40,122 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 16/138 +[2025-03-11 07:00:40,158 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 17/138 +[2025-03-11 07:00:40,197 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 18/138 +[2025-03-11 07:00:40,234 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 19/138 +[2025-03-11 07:00:40,271 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 20/138 +[2025-03-11 07:00:40,308 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 21/138 +[2025-03-11 07:00:40,355 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 22/138 +[2025-03-11 07:00:40,392 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 23/138 +[2025-03-11 07:00:40,427 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 24/138 +[2025-03-11 07:00:40,463 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 25/138 +[2025-03-11 07:00:40,507 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 26/138 +[2025-03-11 07:00:40,547 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 27/138 +[2025-03-11 07:00:40,582 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 28/138 +[2025-03-11 07:00:40,617 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 29/138 +[2025-03-11 07:00:40,653 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 30/138 +[2025-03-11 07:00:40,688 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 31/138 +[2025-03-11 07:00:40,723 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 32/138 +[2025-03-11 07:00:40,759 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 33/138 +[2025-03-11 07:00:40,795 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 34/138 +[2025-03-11 07:00:40,841 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 35/138 +[2025-03-11 07:00:40,881 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 36/138 +[2025-03-11 07:00:40,929 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 37/138 +[2025-03-11 07:00:40,975 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 38/138 +[2025-03-11 07:00:41,020 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 39/138 +[2025-03-11 07:00:41,067 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 40/138 +[2025-03-11 07:00:41,122 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 41/138 +[2025-03-11 07:00:41,179 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 42/138 +[2025-03-11 07:00:41,234 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 43/138 +[2025-03-11 07:00:41,282 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 44/138 +[2025-03-11 07:00:41,325 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 45/138 +[2025-03-11 07:00:41,374 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 46/138 +[2025-03-11 07:00:41,418 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 47/138 +[2025-03-11 07:00:41,456 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 48/138 +[2025-03-11 07:00:41,494 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 49/138 +[2025-03-11 07:00:41,532 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 50/138 +[2025-03-11 07:00:41,573 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 51/138 +[2025-03-11 07:00:41,610 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 52/138 +[2025-03-11 07:00:41,647 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 53/138 +[2025-03-11 07:00:41,685 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 54/138 +[2025-03-11 07:00:41,721 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 55/138 +[2025-03-11 07:00:41,757 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 56/138 +[2025-03-11 07:00:41,793 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 57/138 +[2025-03-11 07:00:41,831 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 58/138 +[2025-03-11 07:00:41,868 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 59/138 +[2025-03-11 07:00:41,907 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 60/138 +[2025-03-11 07:00:41,945 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 61/138 +[2025-03-11 07:00:41,982 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 62/138 +[2025-03-11 07:00:42,021 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 63/138 +[2025-03-11 07:00:42,060 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 64/138 +[2025-03-11 07:00:42,100 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 65/138 +[2025-03-11 07:00:42,153 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 66/138 +[2025-03-11 07:00:42,194 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 67/138 +[2025-03-11 07:00:42,233 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 68/138 +[2025-03-11 07:00:42,274 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 69/138 +[2025-03-11 07:00:42,315 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 70/138 +[2025-03-11 07:00:42,361 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 71/138 +[2025-03-11 07:00:42,404 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 72/138 +[2025-03-11 07:00:42,449 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 73/138 +[2025-03-11 07:00:42,487 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 74/138 +[2025-03-11 07:00:42,526 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 75/138 +[2025-03-11 07:00:42,563 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 76/138 +[2025-03-11 07:00:42,600 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 77/138 +[2025-03-11 07:00:42,647 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 78/138 +[2025-03-11 07:00:42,684 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 79/138 +[2025-03-11 07:00:42,723 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 80/138 +[2025-03-11 07:00:42,762 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 81/138 +[2025-03-11 07:00:42,800 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 82/138 +[2025-03-11 07:00:42,837 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 83/138 +[2025-03-11 07:00:42,873 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 84/138 +[2025-03-11 07:00:42,909 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 85/138 +[2025-03-11 07:00:42,946 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 86/138 +[2025-03-11 07:00:42,983 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 87/138 +[2025-03-11 07:00:43,022 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 88/138 +[2025-03-11 07:00:43,060 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 89/138 +[2025-03-11 07:00:43,099 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 90/138 +[2025-03-11 07:00:43,138 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 91/138 +[2025-03-11 07:00:43,180 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 92/138 +[2025-03-11 07:00:43,220 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 93/138 +[2025-03-11 07:00:43,260 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 94/138 +[2025-03-11 07:00:43,301 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 95/138 +[2025-03-11 07:00:43,354 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 96/138 +[2025-03-11 07:00:43,395 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 97/138 +[2025-03-11 07:00:43,435 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 98/138 +[2025-03-11 07:00:43,475 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 99/138 +[2025-03-11 07:00:43,524 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 100/138 +[2025-03-11 07:00:43,564 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 101/138 +[2025-03-11 07:00:43,604 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 102/138 +[2025-03-11 07:00:43,643 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 103/138 +[2025-03-11 07:00:43,685 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 104/138 +[2025-03-11 07:00:43,725 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 105/138 +[2025-03-11 07:00:43,765 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 106/138 +[2025-03-11 07:00:43,804 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 107/138 +[2025-03-11 07:00:43,843 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 108/138 +[2025-03-11 07:00:43,883 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 109/138 +[2025-03-11 07:00:43,924 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 110/138 +[2025-03-11 07:00:43,965 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 111/138 +[2025-03-11 07:00:44,006 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 112/138 +[2025-03-11 07:00:44,046 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 113/138 +[2025-03-11 07:00:44,088 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 114/138 +[2025-03-11 07:00:44,129 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 115/138 +[2025-03-11 07:00:44,169 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 116/138 +[2025-03-11 07:00:44,210 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 117/138 +[2025-03-11 07:00:44,250 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 118/138 +[2025-03-11 07:00:44,289 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 119/138 +[2025-03-11 07:00:44,328 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 120/138 +[2025-03-11 07:00:44,372 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 121/138 +[2025-03-11 07:00:44,412 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 122/138 +[2025-03-11 07:00:44,458 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 123/138 +[2025-03-11 07:00:44,499 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 124/138 +[2025-03-11 07:00:44,538 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 125/138 +[2025-03-11 07:00:44,577 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 126/138 +[2025-03-11 07:00:44,627 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 127/138 +[2025-03-11 07:00:44,669 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 128/138 +[2025-03-11 07:00:44,707 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 129/138 +[2025-03-11 07:00:44,745 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 130/138 +[2025-03-11 07:00:44,783 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 131/138 +[2025-03-11 07:00:44,827 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 132/138 +[2025-03-11 07:00:44,868 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 133/138 +[2025-03-11 07:00:44,905 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 134/138 +[2025-03-11 07:00:44,943 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 135/138 +[2025-03-11 07:00:44,984 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 136/138 +[2025-03-11 07:00:45,025 INFO test.py line 201 2389709] Test: 59/78-scene0665_00, Batch: 137/138 +[2025-03-11 07:00:45,306 INFO test.py line 291 2389709] Test: scene0665_00 [59/78]-252726 Batch 5.849 (4.572) Accuracy 0.8919 (0.3824) mIoU 0.3929 (0.3068) +[2025-03-11 07:00:45,388 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 0/148 +[2025-03-11 07:00:45,420 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 1/148 +[2025-03-11 07:00:45,453 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 2/148 +[2025-03-11 07:00:45,496 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 3/148 +[2025-03-11 07:00:45,529 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 4/148 +[2025-03-11 07:00:45,562 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 5/148 +[2025-03-11 07:00:45,595 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 6/148 +[2025-03-11 07:00:45,628 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 7/148 +[2025-03-11 07:00:45,661 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 8/148 +[2025-03-11 07:00:45,694 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 9/148 +[2025-03-11 07:00:45,734 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 10/148 +[2025-03-11 07:00:45,767 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 11/148 +[2025-03-11 07:00:45,800 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 12/148 +[2025-03-11 07:00:45,834 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 13/148 +[2025-03-11 07:00:45,866 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 14/148 +[2025-03-11 07:00:45,900 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 15/148 +[2025-03-11 07:00:45,933 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 16/148 +[2025-03-11 07:00:45,966 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 17/148 +[2025-03-11 07:00:46,000 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 18/148 +[2025-03-11 07:00:46,034 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 19/148 +[2025-03-11 07:00:46,067 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 20/148 +[2025-03-11 07:00:46,100 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 21/148 +[2025-03-11 07:00:46,134 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 22/148 +[2025-03-11 07:00:46,168 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 23/148 +[2025-03-11 07:00:46,203 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 24/148 +[2025-03-11 07:00:46,235 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 25/148 +[2025-03-11 07:00:46,268 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 26/148 +[2025-03-11 07:00:46,304 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 27/148 +[2025-03-11 07:00:46,337 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 28/148 +[2025-03-11 07:00:46,371 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 29/148 +[2025-03-11 07:00:46,402 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 30/148 +[2025-03-11 07:00:46,434 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 31/148 +[2025-03-11 07:00:46,466 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 32/148 +[2025-03-11 07:00:46,506 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 33/148 +[2025-03-11 07:00:46,538 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 34/148 +[2025-03-11 07:00:46,591 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 35/148 +[2025-03-11 07:00:46,633 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 36/148 +[2025-03-11 07:00:46,665 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 37/148 +[2025-03-11 07:00:46,698 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 38/148 +[2025-03-11 07:00:46,730 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 39/148 +[2025-03-11 07:00:46,763 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 40/148 +[2025-03-11 07:00:46,795 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 41/148 +[2025-03-11 07:00:46,828 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 42/148 +[2025-03-11 07:00:46,861 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 43/148 +[2025-03-11 07:00:46,901 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 44/148 +[2025-03-11 07:00:46,939 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 45/148 +[2025-03-11 07:00:46,976 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 46/148 +[2025-03-11 07:00:47,010 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 47/148 +[2025-03-11 07:00:47,043 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 48/148 +[2025-03-11 07:00:47,076 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 49/148 +[2025-03-11 07:00:47,110 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 50/148 +[2025-03-11 07:00:47,144 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 51/148 +[2025-03-11 07:00:47,182 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 52/148 +[2025-03-11 07:00:47,218 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 53/148 +[2025-03-11 07:00:47,277 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 54/148 +[2025-03-11 07:00:47,314 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 55/148 +[2025-03-11 07:00:47,346 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 56/148 +[2025-03-11 07:00:47,381 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 57/148 +[2025-03-11 07:00:47,420 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 58/148 +[2025-03-11 07:00:47,453 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 59/148 +[2025-03-11 07:00:47,486 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 60/148 +[2025-03-11 07:00:47,519 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 61/148 +[2025-03-11 07:00:47,552 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 62/148 +[2025-03-11 07:00:47,586 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 63/148 +[2025-03-11 07:00:47,618 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 64/148 +[2025-03-11 07:00:47,651 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 65/148 +[2025-03-11 07:00:47,684 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 66/148 +[2025-03-11 07:00:47,721 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 67/148 +[2025-03-11 07:00:47,752 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 68/148 +[2025-03-11 07:00:47,784 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 69/148 +[2025-03-11 07:00:47,817 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 70/148 +[2025-03-11 07:00:47,858 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 71/148 +[2025-03-11 07:00:47,891 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 72/148 +[2025-03-11 07:00:47,926 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 73/148 +[2025-03-11 07:00:47,959 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 74/148 +[2025-03-11 07:00:47,998 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 75/148 +[2025-03-11 07:00:48,032 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 76/148 +[2025-03-11 07:00:48,065 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 77/148 +[2025-03-11 07:00:48,098 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 78/148 +[2025-03-11 07:00:48,129 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 79/148 +[2025-03-11 07:00:48,162 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 80/148 +[2025-03-11 07:00:48,202 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 81/148 +[2025-03-11 07:00:48,235 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 82/148 +[2025-03-11 07:00:48,268 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 83/148 +[2025-03-11 07:00:48,299 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 84/148 +[2025-03-11 07:00:48,331 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 85/148 +[2025-03-11 07:00:48,363 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 86/148 +[2025-03-11 07:00:48,395 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 87/148 +[2025-03-11 07:00:48,427 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 88/148 +[2025-03-11 07:00:48,459 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 89/148 +[2025-03-11 07:00:48,490 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 90/148 +[2025-03-11 07:00:48,523 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 91/148 +[2025-03-11 07:00:48,556 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 92/148 +[2025-03-11 07:00:48,587 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 93/148 +[2025-03-11 07:00:48,620 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 94/148 +[2025-03-11 07:00:48,652 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 95/148 +[2025-03-11 07:00:48,688 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 96/148 +[2025-03-11 07:00:48,732 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 97/148 +[2025-03-11 07:00:48,786 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 98/148 +[2025-03-11 07:00:48,838 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 99/148 +[2025-03-11 07:00:48,874 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 100/148 +[2025-03-11 07:00:48,908 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 101/148 +[2025-03-11 07:00:48,946 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 102/148 +[2025-03-11 07:00:48,980 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 103/148 +[2025-03-11 07:00:49,016 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 104/148 +[2025-03-11 07:00:49,062 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 105/148 +[2025-03-11 07:00:49,099 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 106/148 +[2025-03-11 07:00:49,136 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 107/148 +[2025-03-11 07:00:49,170 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 108/148 +[2025-03-11 07:00:49,211 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 109/148 +[2025-03-11 07:00:49,245 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 110/148 +[2025-03-11 07:00:49,290 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 111/148 +[2025-03-11 07:00:49,335 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 112/148 +[2025-03-11 07:00:49,380 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 113/148 +[2025-03-11 07:00:49,425 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 114/148 +[2025-03-11 07:00:49,469 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 115/148 +[2025-03-11 07:00:49,511 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 116/148 +[2025-03-11 07:00:49,546 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 117/148 +[2025-03-11 07:00:49,580 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 118/148 +[2025-03-11 07:00:49,639 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 119/148 +[2025-03-11 07:00:49,682 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 120/148 +[2025-03-11 07:00:49,717 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 121/148 +[2025-03-11 07:00:49,757 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 122/148 +[2025-03-11 07:00:49,791 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 123/148 +[2025-03-11 07:00:49,826 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 124/148 +[2025-03-11 07:00:49,863 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 125/148 +[2025-03-11 07:00:49,897 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 126/148 +[2025-03-11 07:00:49,932 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 127/148 +[2025-03-11 07:00:49,966 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 128/148 +[2025-03-11 07:00:50,000 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 129/148 +[2025-03-11 07:00:50,054 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 130/148 +[2025-03-11 07:00:50,088 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 131/148 +[2025-03-11 07:00:50,121 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 132/148 +[2025-03-11 07:00:50,155 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 133/148 +[2025-03-11 07:00:50,190 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 134/148 +[2025-03-11 07:00:50,223 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 135/148 +[2025-03-11 07:00:50,256 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 136/148 +[2025-03-11 07:00:50,289 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 137/148 +[2025-03-11 07:00:50,322 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 138/148 +[2025-03-11 07:00:50,355 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 139/148 +[2025-03-11 07:00:50,389 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 140/148 +[2025-03-11 07:00:50,421 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 141/148 +[2025-03-11 07:00:50,453 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 142/148 +[2025-03-11 07:00:50,485 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 143/148 +[2025-03-11 07:00:50,520 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 144/148 +[2025-03-11 07:00:50,553 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 145/148 +[2025-03-11 07:00:50,592 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 146/148 +[2025-03-11 07:00:50,626 INFO test.py line 201 2389709] Test: 60/78-scene0647_01, Batch: 147/148 +[2025-03-11 07:00:50,853 INFO test.py line 291 2389709] Test: scene0647_01 [60/78]-194360 Batch 5.546 (4.588) Accuracy 0.9179 (0.3849) mIoU 0.6652 (0.3089) +[2025-03-11 07:00:50,903 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 0/134 +[2025-03-11 07:00:50,931 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 1/134 +[2025-03-11 07:00:50,962 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 2/134 +[2025-03-11 07:00:50,989 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 3/134 +[2025-03-11 07:00:51,015 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 4/134 +[2025-03-11 07:00:51,040 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 5/134 +[2025-03-11 07:00:51,065 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 6/134 +[2025-03-11 07:00:51,093 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 7/134 +[2025-03-11 07:00:51,122 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 8/134 +[2025-03-11 07:00:51,148 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 9/134 +[2025-03-11 07:00:51,175 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 10/134 +[2025-03-11 07:00:51,199 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 11/134 +[2025-03-11 07:00:51,226 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 12/134 +[2025-03-11 07:00:51,257 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 13/134 +[2025-03-11 07:00:51,283 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 14/134 +[2025-03-11 07:00:51,309 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 15/134 +[2025-03-11 07:00:51,339 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 16/134 +[2025-03-11 07:00:51,366 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 17/134 +[2025-03-11 07:00:51,393 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 18/134 +[2025-03-11 07:00:51,438 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 19/134 +[2025-03-11 07:00:51,463 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 20/134 +[2025-03-11 07:00:51,490 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 21/134 +[2025-03-11 07:00:51,515 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 22/134 +[2025-03-11 07:00:51,546 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 23/134 +[2025-03-11 07:00:51,596 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 24/134 +[2025-03-11 07:00:51,621 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 25/134 +[2025-03-11 07:00:51,647 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 26/134 +[2025-03-11 07:00:51,673 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 27/134 +[2025-03-11 07:00:51,699 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 28/134 +[2025-03-11 07:00:51,725 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 29/134 +[2025-03-11 07:00:51,751 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 30/134 +[2025-03-11 07:00:51,781 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 31/134 +[2025-03-11 07:00:51,808 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 32/134 +[2025-03-11 07:00:51,837 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 33/134 +[2025-03-11 07:00:51,890 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 34/134 +[2025-03-11 07:00:51,921 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 35/134 +[2025-03-11 07:00:51,949 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 36/134 +[2025-03-11 07:00:51,975 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 37/134 +[2025-03-11 07:00:52,001 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 38/134 +[2025-03-11 07:00:52,026 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 39/134 +[2025-03-11 07:00:52,052 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 40/134 +[2025-03-11 07:00:52,077 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 41/134 +[2025-03-11 07:00:52,101 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 42/134 +[2025-03-11 07:00:52,127 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 43/134 +[2025-03-11 07:00:52,153 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 44/134 +[2025-03-11 07:00:52,179 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 45/134 +[2025-03-11 07:00:52,203 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 46/134 +[2025-03-11 07:00:52,233 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 47/134 +[2025-03-11 07:00:52,259 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 48/134 +[2025-03-11 07:00:52,284 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 49/134 +[2025-03-11 07:00:52,315 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 50/134 +[2025-03-11 07:00:52,349 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 51/134 +[2025-03-11 07:00:52,373 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 52/134 +[2025-03-11 07:00:52,399 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 53/134 +[2025-03-11 07:00:52,422 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 54/134 +[2025-03-11 07:00:52,446 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 55/134 +[2025-03-11 07:00:52,470 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 56/134 +[2025-03-11 07:00:52,494 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 57/134 +[2025-03-11 07:00:52,517 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 58/134 +[2025-03-11 07:00:52,547 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 59/134 +[2025-03-11 07:00:52,574 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 60/134 +[2025-03-11 07:00:52,601 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 61/134 +[2025-03-11 07:00:52,628 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 62/134 +[2025-03-11 07:00:52,656 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 63/134 +[2025-03-11 07:00:52,682 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 64/134 +[2025-03-11 07:00:52,710 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 65/134 +[2025-03-11 07:00:52,736 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 66/134 +[2025-03-11 07:00:52,766 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 67/134 +[2025-03-11 07:00:52,791 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 68/134 +[2025-03-11 07:00:52,817 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 69/134 +[2025-03-11 07:00:52,843 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 70/134 +[2025-03-11 07:00:52,870 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 71/134 +[2025-03-11 07:00:52,895 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 72/134 +[2025-03-11 07:00:52,919 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 73/134 +[2025-03-11 07:00:52,944 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 74/134 +[2025-03-11 07:00:52,969 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 75/134 +[2025-03-11 07:00:52,993 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 76/134 +[2025-03-11 07:00:53,018 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 77/134 +[2025-03-11 07:00:53,047 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 78/134 +[2025-03-11 07:00:53,072 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 79/134 +[2025-03-11 07:00:53,096 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 80/134 +[2025-03-11 07:00:53,120 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 81/134 +[2025-03-11 07:00:53,145 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 82/134 +[2025-03-11 07:00:53,170 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 83/134 +[2025-03-11 07:00:53,196 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 84/134 +[2025-03-11 07:00:53,220 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 85/134 +[2025-03-11 07:00:53,245 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 86/134 +[2025-03-11 07:00:53,271 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 87/134 +[2025-03-11 07:00:53,295 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 88/134 +[2025-03-11 07:00:53,320 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 89/134 +[2025-03-11 07:00:53,345 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 90/134 +[2025-03-11 07:00:53,369 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 91/134 +[2025-03-11 07:00:53,395 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 92/134 +[2025-03-11 07:00:53,419 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 93/134 +[2025-03-11 07:00:53,444 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 94/134 +[2025-03-11 07:00:53,468 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 95/134 +[2025-03-11 07:00:53,495 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 96/134 +[2025-03-11 07:00:53,522 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 97/134 +[2025-03-11 07:00:53,547 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 98/134 +[2025-03-11 07:00:53,571 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 99/134 +[2025-03-11 07:00:53,597 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 100/134 +[2025-03-11 07:00:53,622 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 101/134 +[2025-03-11 07:00:53,647 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 102/134 +[2025-03-11 07:00:53,674 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 103/134 +[2025-03-11 07:00:53,699 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 104/134 +[2025-03-11 07:00:53,725 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 105/134 +[2025-03-11 07:00:53,749 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 106/134 +[2025-03-11 07:00:53,774 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 107/134 +[2025-03-11 07:00:53,800 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 108/134 +[2025-03-11 07:00:53,825 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 109/134 +[2025-03-11 07:00:53,850 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 110/134 +[2025-03-11 07:00:53,875 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 111/134 +[2025-03-11 07:00:53,901 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 112/134 +[2025-03-11 07:00:53,926 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 113/134 +[2025-03-11 07:00:53,954 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 114/134 +[2025-03-11 07:00:53,979 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 115/134 +[2025-03-11 07:00:54,010 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 116/134 +[2025-03-11 07:00:54,035 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 117/134 +[2025-03-11 07:00:54,061 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 118/134 +[2025-03-11 07:00:54,087 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 119/134 +[2025-03-11 07:00:54,113 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 120/134 +[2025-03-11 07:00:54,138 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 121/134 +[2025-03-11 07:00:54,163 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 122/134 +[2025-03-11 07:00:54,197 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 123/134 +[2025-03-11 07:00:54,222 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 124/134 +[2025-03-11 07:00:54,248 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 125/134 +[2025-03-11 07:00:54,275 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 126/134 +[2025-03-11 07:00:54,300 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 127/134 +[2025-03-11 07:00:54,325 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 128/134 +[2025-03-11 07:00:54,350 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 129/134 +[2025-03-11 07:00:54,376 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 130/134 +[2025-03-11 07:00:54,402 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 131/134 +[2025-03-11 07:00:54,428 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 132/134 +[2025-03-11 07:00:54,454 INFO test.py line 201 2389709] Test: 61/78-scene0558_00, Batch: 133/134 +[2025-03-11 07:00:54,557 INFO test.py line 291 2389709] Test: scene0558_00 [61/78]-92953 Batch 3.704 (4.574) Accuracy 0.8891 (0.3852) mIoU 0.4859 (0.3094) +[2025-03-11 07:00:54,613 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 0/139 +[2025-03-11 07:00:54,638 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 1/139 +[2025-03-11 07:00:54,664 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 2/139 +[2025-03-11 07:00:54,690 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 3/139 +[2025-03-11 07:00:54,718 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 4/139 +[2025-03-11 07:00:54,746 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 5/139 +[2025-03-11 07:00:54,774 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 6/139 +[2025-03-11 07:00:54,820 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 7/139 +[2025-03-11 07:00:54,858 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 8/139 +[2025-03-11 07:00:54,894 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 9/139 +[2025-03-11 07:00:54,927 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 10/139 +[2025-03-11 07:00:54,959 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 11/139 +[2025-03-11 07:00:54,999 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 12/139 +[2025-03-11 07:00:55,036 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 13/139 +[2025-03-11 07:00:55,084 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 14/139 +[2025-03-11 07:00:55,116 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 15/139 +[2025-03-11 07:00:55,148 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 16/139 +[2025-03-11 07:00:55,179 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 17/139 +[2025-03-11 07:00:55,217 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 18/139 +[2025-03-11 07:00:55,251 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 19/139 +[2025-03-11 07:00:55,284 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 20/139 +[2025-03-11 07:00:55,322 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 21/139 +[2025-03-11 07:00:55,359 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 22/139 +[2025-03-11 07:00:55,394 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 23/139 +[2025-03-11 07:00:55,428 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 24/139 +[2025-03-11 07:00:55,455 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 25/139 +[2025-03-11 07:00:55,481 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 26/139 +[2025-03-11 07:00:55,508 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 27/139 +[2025-03-11 07:00:55,535 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 28/139 +[2025-03-11 07:00:55,562 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 29/139 +[2025-03-11 07:00:55,588 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 30/139 +[2025-03-11 07:00:55,615 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 31/139 +[2025-03-11 07:00:55,641 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 32/139 +[2025-03-11 07:00:55,668 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 33/139 +[2025-03-11 07:00:55,695 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 34/139 +[2025-03-11 07:00:55,720 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 35/139 +[2025-03-11 07:00:55,748 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 36/139 +[2025-03-11 07:00:55,774 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 37/139 +[2025-03-11 07:00:55,801 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 38/139 +[2025-03-11 07:00:55,830 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 39/139 +[2025-03-11 07:00:55,856 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 40/139 +[2025-03-11 07:00:55,884 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 41/139 +[2025-03-11 07:00:55,909 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 42/139 +[2025-03-11 07:00:55,935 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 43/139 +[2025-03-11 07:00:55,960 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 44/139 +[2025-03-11 07:00:55,986 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 45/139 +[2025-03-11 07:00:56,012 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 46/139 +[2025-03-11 07:00:56,037 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 47/139 +[2025-03-11 07:00:56,063 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 48/139 +[2025-03-11 07:00:56,091 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 49/139 +[2025-03-11 07:00:56,116 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 50/139 +[2025-03-11 07:00:56,142 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 51/139 +[2025-03-11 07:00:56,167 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 52/139 +[2025-03-11 07:00:56,192 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 53/139 +[2025-03-11 07:00:56,217 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 54/139 +[2025-03-11 07:00:56,243 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 55/139 +[2025-03-11 07:00:56,269 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 56/139 +[2025-03-11 07:00:56,292 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 57/139 +[2025-03-11 07:00:56,316 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 58/139 +[2025-03-11 07:00:56,341 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 59/139 +[2025-03-11 07:00:56,367 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 60/139 +[2025-03-11 07:00:56,391 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 61/139 +[2025-03-11 07:00:56,415 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 62/139 +[2025-03-11 07:00:56,439 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 63/139 +[2025-03-11 07:00:56,464 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 64/139 +[2025-03-11 07:00:56,488 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 65/139 +[2025-03-11 07:00:56,512 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 66/139 +[2025-03-11 07:00:56,536 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 67/139 +[2025-03-11 07:00:56,564 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 68/139 +[2025-03-11 07:00:56,587 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 69/139 +[2025-03-11 07:00:56,611 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 70/139 +[2025-03-11 07:00:56,656 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 71/139 +[2025-03-11 07:00:56,684 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 72/139 +[2025-03-11 07:00:56,709 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 73/139 +[2025-03-11 07:00:56,735 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 74/139 +[2025-03-11 07:00:56,759 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 75/139 +[2025-03-11 07:00:56,784 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 76/139 +[2025-03-11 07:00:56,809 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 77/139 +[2025-03-11 07:00:56,833 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 78/139 +[2025-03-11 07:00:56,858 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 79/139 +[2025-03-11 07:00:56,883 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 80/139 +[2025-03-11 07:00:56,907 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 81/139 +[2025-03-11 07:00:56,931 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 82/139 +[2025-03-11 07:00:56,956 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 83/139 +[2025-03-11 07:00:56,981 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 84/139 +[2025-03-11 07:00:57,007 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 85/139 +[2025-03-11 07:00:57,032 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 86/139 +[2025-03-11 07:00:57,056 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 87/139 +[2025-03-11 07:00:57,082 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 88/139 +[2025-03-11 07:00:57,109 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 89/139 +[2025-03-11 07:00:57,141 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 90/139 +[2025-03-11 07:00:57,172 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 91/139 +[2025-03-11 07:00:57,201 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 92/139 +[2025-03-11 07:00:57,234 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 93/139 +[2025-03-11 07:00:57,267 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 94/139 +[2025-03-11 07:00:57,307 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 95/139 +[2025-03-11 07:00:57,343 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 96/139 +[2025-03-11 07:00:57,374 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 97/139 +[2025-03-11 07:00:57,406 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 98/139 +[2025-03-11 07:00:57,439 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 99/139 +[2025-03-11 07:00:57,479 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 100/139 +[2025-03-11 07:00:57,510 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 101/139 +[2025-03-11 07:00:57,546 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 102/139 +[2025-03-11 07:00:57,587 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 103/139 +[2025-03-11 07:00:57,636 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 104/139 +[2025-03-11 07:00:57,661 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 105/139 +[2025-03-11 07:00:57,687 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 106/139 +[2025-03-11 07:00:57,713 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 107/139 +[2025-03-11 07:00:57,739 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 108/139 +[2025-03-11 07:00:57,764 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 109/139 +[2025-03-11 07:00:57,789 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 110/139 +[2025-03-11 07:00:57,817 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 111/139 +[2025-03-11 07:00:57,852 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 112/139 +[2025-03-11 07:00:57,880 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 113/139 +[2025-03-11 07:00:57,907 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 114/139 +[2025-03-11 07:00:57,935 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 115/139 +[2025-03-11 07:00:57,962 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 116/139 +[2025-03-11 07:00:57,989 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 117/139 +[2025-03-11 07:00:58,018 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 118/139 +[2025-03-11 07:00:58,044 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 119/139 +[2025-03-11 07:00:58,070 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 120/139 +[2025-03-11 07:00:58,102 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 121/139 +[2025-03-11 07:00:58,135 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 122/139 +[2025-03-11 07:00:58,169 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 123/139 +[2025-03-11 07:00:58,195 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 124/139 +[2025-03-11 07:00:58,221 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 125/139 +[2025-03-11 07:00:58,248 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 126/139 +[2025-03-11 07:00:58,274 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 127/139 +[2025-03-11 07:00:58,300 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 128/139 +[2025-03-11 07:00:58,325 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 129/139 +[2025-03-11 07:00:58,353 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 130/139 +[2025-03-11 07:00:58,379 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 131/139 +[2025-03-11 07:00:58,405 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 132/139 +[2025-03-11 07:00:58,432 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 133/139 +[2025-03-11 07:00:58,457 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 134/139 +[2025-03-11 07:00:58,483 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 135/139 +[2025-03-11 07:00:58,509 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 136/139 +[2025-03-11 07:00:58,539 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 137/139 +[2025-03-11 07:00:58,565 INFO test.py line 201 2389709] Test: 62/78-scene0084_02, Batch: 138/139 +[2025-03-11 07:00:58,680 INFO test.py line 291 2389709] Test: scene0084_02 [62/78]-98346 Batch 4.123 (4.566) Accuracy 0.8939 (0.3863) mIoU 0.3800 (0.3096) +[2025-03-11 07:00:58,788 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 0/143 +[2025-03-11 07:00:58,826 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 1/143 +[2025-03-11 07:00:58,866 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 2/143 +[2025-03-11 07:00:58,905 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 3/143 +[2025-03-11 07:00:58,941 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 4/143 +[2025-03-11 07:00:58,979 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 5/143 +[2025-03-11 07:00:59,017 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 6/143 +[2025-03-11 07:00:59,053 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 7/143 +[2025-03-11 07:00:59,090 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 8/143 +[2025-03-11 07:00:59,139 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 9/143 +[2025-03-11 07:00:59,187 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 10/143 +[2025-03-11 07:00:59,227 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 11/143 +[2025-03-11 07:00:59,264 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 12/143 +[2025-03-11 07:00:59,302 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 13/143 +[2025-03-11 07:00:59,338 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 14/143 +[2025-03-11 07:00:59,376 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 15/143 +[2025-03-11 07:00:59,412 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 16/143 +[2025-03-11 07:00:59,448 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 17/143 +[2025-03-11 07:00:59,490 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 18/143 +[2025-03-11 07:00:59,527 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 19/143 +[2025-03-11 07:00:59,563 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 20/143 +[2025-03-11 07:00:59,600 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 21/143 +[2025-03-11 07:00:59,639 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 22/143 +[2025-03-11 07:00:59,676 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 23/143 +[2025-03-11 07:00:59,713 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 24/143 +[2025-03-11 07:00:59,749 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 25/143 +[2025-03-11 07:00:59,789 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 26/143 +[2025-03-11 07:00:59,832 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 27/143 +[2025-03-11 07:00:59,876 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 28/143 +[2025-03-11 07:00:59,923 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 29/143 +[2025-03-11 07:00:59,968 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 30/143 +[2025-03-11 07:01:00,010 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 31/143 +[2025-03-11 07:01:00,052 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 32/143 +[2025-03-11 07:01:00,095 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 33/143 +[2025-03-11 07:01:00,142 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 34/143 +[2025-03-11 07:01:00,180 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 35/143 +[2025-03-11 07:01:00,219 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 36/143 +[2025-03-11 07:01:00,257 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 37/143 +[2025-03-11 07:01:00,293 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 38/143 +[2025-03-11 07:01:00,331 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 39/143 +[2025-03-11 07:01:00,367 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 40/143 +[2025-03-11 07:01:00,405 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 41/143 +[2025-03-11 07:01:00,441 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 42/143 +[2025-03-11 07:01:00,478 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 43/143 +[2025-03-11 07:01:00,534 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 44/143 +[2025-03-11 07:01:00,569 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 45/143 +[2025-03-11 07:01:00,608 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 46/143 +[2025-03-11 07:01:00,642 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 47/143 +[2025-03-11 07:01:00,677 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 48/143 +[2025-03-11 07:01:00,714 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 49/143 +[2025-03-11 07:01:00,751 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 50/143 +[2025-03-11 07:01:00,785 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 51/143 +[2025-03-11 07:01:00,820 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 52/143 +[2025-03-11 07:01:00,857 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 53/143 +[2025-03-11 07:01:00,892 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 54/143 +[2025-03-11 07:01:00,928 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 55/143 +[2025-03-11 07:01:00,964 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 56/143 +[2025-03-11 07:01:00,998 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 57/143 +[2025-03-11 07:01:01,035 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 58/143 +[2025-03-11 07:01:01,069 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 59/143 +[2025-03-11 07:01:01,104 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 60/143 +[2025-03-11 07:01:01,139 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 61/143 +[2025-03-11 07:01:01,174 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 62/143 +[2025-03-11 07:01:01,221 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 63/143 +[2025-03-11 07:01:01,256 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 64/143 +[2025-03-11 07:01:01,292 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 65/143 +[2025-03-11 07:01:01,326 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 66/143 +[2025-03-11 07:01:01,361 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 67/143 +[2025-03-11 07:01:01,398 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 68/143 +[2025-03-11 07:01:01,435 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 69/143 +[2025-03-11 07:01:01,470 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 70/143 +[2025-03-11 07:01:01,506 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 71/143 +[2025-03-11 07:01:01,541 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 72/143 +[2025-03-11 07:01:01,577 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 73/143 +[2025-03-11 07:01:01,611 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 74/143 +[2025-03-11 07:01:01,645 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 75/143 +[2025-03-11 07:01:01,679 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 76/143 +[2025-03-11 07:01:01,714 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 77/143 +[2025-03-11 07:01:01,758 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 78/143 +[2025-03-11 07:01:01,796 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 79/143 +[2025-03-11 07:01:01,832 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 80/143 +[2025-03-11 07:01:01,867 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 81/143 +[2025-03-11 07:01:01,902 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 82/143 +[2025-03-11 07:01:01,937 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 83/143 +[2025-03-11 07:01:01,971 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 84/143 +[2025-03-11 07:01:02,006 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 85/143 +[2025-03-11 07:01:02,041 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 86/143 +[2025-03-11 07:01:02,075 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 87/143 +[2025-03-11 07:01:02,111 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 88/143 +[2025-03-11 07:01:02,148 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 89/143 +[2025-03-11 07:01:02,186 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 90/143 +[2025-03-11 07:01:02,223 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 91/143 +[2025-03-11 07:01:02,262 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 92/143 +[2025-03-11 07:01:02,300 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 93/143 +[2025-03-11 07:01:02,336 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 94/143 +[2025-03-11 07:01:02,373 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 95/143 +[2025-03-11 07:01:02,412 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 96/143 +[2025-03-11 07:01:02,449 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 97/143 +[2025-03-11 07:01:02,487 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 98/143 +[2025-03-11 07:01:02,525 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 99/143 +[2025-03-11 07:01:02,563 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 100/143 +[2025-03-11 07:01:02,600 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 101/143 +[2025-03-11 07:01:02,639 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 102/143 +[2025-03-11 07:01:02,679 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 103/143 +[2025-03-11 07:01:02,726 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 104/143 +[2025-03-11 07:01:02,765 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 105/143 +[2025-03-11 07:01:02,803 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 106/143 +[2025-03-11 07:01:02,853 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 107/143 +[2025-03-11 07:01:02,891 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 108/143 +[2025-03-11 07:01:02,930 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 109/143 +[2025-03-11 07:01:02,972 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 110/143 +[2025-03-11 07:01:03,009 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 111/143 +[2025-03-11 07:01:03,047 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 112/143 +[2025-03-11 07:01:03,085 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 113/143 +[2025-03-11 07:01:03,128 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 114/143 +[2025-03-11 07:01:03,166 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 115/143 +[2025-03-11 07:01:03,204 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 116/143 +[2025-03-11 07:01:03,244 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 117/143 +[2025-03-11 07:01:03,282 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 118/143 +[2025-03-11 07:01:03,320 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 119/143 +[2025-03-11 07:01:03,357 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 120/143 +[2025-03-11 07:01:03,422 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 121/143 +[2025-03-11 07:01:03,459 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 122/143 +[2025-03-11 07:01:03,496 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 123/143 +[2025-03-11 07:01:03,535 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 124/143 +[2025-03-11 07:01:03,571 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 125/143 +[2025-03-11 07:01:03,609 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 126/143 +[2025-03-11 07:01:03,647 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 127/143 +[2025-03-11 07:01:03,685 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 128/143 +[2025-03-11 07:01:03,723 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 129/143 +[2025-03-11 07:01:03,761 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 130/143 +[2025-03-11 07:01:03,808 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 131/143 +[2025-03-11 07:01:03,845 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 132/143 +[2025-03-11 07:01:03,882 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 133/143 +[2025-03-11 07:01:03,920 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 134/143 +[2025-03-11 07:01:03,956 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 135/143 +[2025-03-11 07:01:03,993 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 136/143 +[2025-03-11 07:01:04,038 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 137/143 +[2025-03-11 07:01:04,074 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 138/143 +[2025-03-11 07:01:04,112 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 139/143 +[2025-03-11 07:01:04,148 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 140/143 +[2025-03-11 07:01:04,186 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 141/143 +[2025-03-11 07:01:04,223 INFO test.py line 201 2389709] Test: 63/78-scene0629_02, Batch: 142/143 +[2025-03-11 07:01:04,486 INFO test.py line 291 2389709] Test: scene0629_02 [63/78]-225983 Batch 5.805 (4.586) Accuracy 0.7122 (0.3864) mIoU 0.2147 (0.3095) +[2025-03-11 07:01:04,563 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 0/126 +[2025-03-11 07:01:04,596 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 1/126 +[2025-03-11 07:01:04,629 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 2/126 +[2025-03-11 07:01:04,663 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 3/126 +[2025-03-11 07:01:04,696 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 4/126 +[2025-03-11 07:01:04,730 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 5/126 +[2025-03-11 07:01:04,764 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 6/126 +[2025-03-11 07:01:04,797 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 7/126 +[2025-03-11 07:01:04,830 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 8/126 +[2025-03-11 07:01:04,862 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 9/126 +[2025-03-11 07:01:04,895 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 10/126 +[2025-03-11 07:01:04,928 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 11/126 +[2025-03-11 07:01:04,961 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 12/126 +[2025-03-11 07:01:04,993 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 13/126 +[2025-03-11 07:01:05,030 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 14/126 +[2025-03-11 07:01:05,075 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 15/126 +[2025-03-11 07:01:05,108 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 16/126 +[2025-03-11 07:01:05,141 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 17/126 +[2025-03-11 07:01:05,173 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 18/126 +[2025-03-11 07:01:05,205 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 19/126 +[2025-03-11 07:01:05,237 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 20/126 +[2025-03-11 07:01:05,269 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 21/126 +[2025-03-11 07:01:05,302 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 22/126 +[2025-03-11 07:01:05,338 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 23/126 +[2025-03-11 07:01:05,370 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 24/126 +[2025-03-11 07:01:05,402 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 25/126 +[2025-03-11 07:01:05,435 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 26/126 +[2025-03-11 07:01:05,472 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 27/126 +[2025-03-11 07:01:05,504 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 28/126 +[2025-03-11 07:01:05,537 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 29/126 +[2025-03-11 07:01:05,570 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 30/126 +[2025-03-11 07:01:05,604 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 31/126 +[2025-03-11 07:01:05,637 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 32/126 +[2025-03-11 07:01:05,669 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 33/126 +[2025-03-11 07:01:05,702 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 34/126 +[2025-03-11 07:01:05,736 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 35/126 +[2025-03-11 07:01:05,769 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 36/126 +[2025-03-11 07:01:05,802 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 37/126 +[2025-03-11 07:01:05,835 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 38/126 +[2025-03-11 07:01:05,869 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 39/126 +[2025-03-11 07:01:05,904 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 40/126 +[2025-03-11 07:01:05,936 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 41/126 +[2025-03-11 07:01:05,967 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 42/126 +[2025-03-11 07:01:05,997 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 43/126 +[2025-03-11 07:01:06,029 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 44/126 +[2025-03-11 07:01:06,062 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 45/126 +[2025-03-11 07:01:06,094 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 46/126 +[2025-03-11 07:01:06,127 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 47/126 +[2025-03-11 07:01:06,161 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 48/126 +[2025-03-11 07:01:06,193 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 49/126 +[2025-03-11 07:01:06,225 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 50/126 +[2025-03-11 07:01:06,259 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 51/126 +[2025-03-11 07:01:06,291 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 52/126 +[2025-03-11 07:01:06,321 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 53/126 +[2025-03-11 07:01:06,353 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 54/126 +[2025-03-11 07:01:06,385 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 55/126 +[2025-03-11 07:01:06,415 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 56/126 +[2025-03-11 07:01:06,447 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 57/126 +[2025-03-11 07:01:06,478 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 58/126 +[2025-03-11 07:01:06,520 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 59/126 +[2025-03-11 07:01:06,550 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 60/126 +[2025-03-11 07:01:06,583 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 61/126 +[2025-03-11 07:01:06,617 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 62/126 +[2025-03-11 07:01:06,648 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 63/126 +[2025-03-11 07:01:06,680 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 64/126 +[2025-03-11 07:01:06,711 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 65/126 +[2025-03-11 07:01:06,742 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 66/126 +[2025-03-11 07:01:06,775 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 67/126 +[2025-03-11 07:01:06,806 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 68/126 +[2025-03-11 07:01:06,837 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 69/126 +[2025-03-11 07:01:06,869 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 70/126 +[2025-03-11 07:01:06,900 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 71/126 +[2025-03-11 07:01:06,945 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 72/126 +[2025-03-11 07:01:06,991 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 73/126 +[2025-03-11 07:01:07,050 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 74/126 +[2025-03-11 07:01:07,082 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 75/126 +[2025-03-11 07:01:07,114 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 76/126 +[2025-03-11 07:01:07,158 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 77/126 +[2025-03-11 07:01:07,202 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 78/126 +[2025-03-11 07:01:07,249 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 79/126 +[2025-03-11 07:01:07,292 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 80/126 +[2025-03-11 07:01:07,330 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 81/126 +[2025-03-11 07:01:07,395 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 82/126 +[2025-03-11 07:01:07,453 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 83/126 +[2025-03-11 07:01:07,492 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 84/126 +[2025-03-11 07:01:07,533 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 85/126 +[2025-03-11 07:01:07,572 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 86/126 +[2025-03-11 07:01:07,625 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 87/126 +[2025-03-11 07:01:07,676 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 88/126 +[2025-03-11 07:01:07,718 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 89/126 +[2025-03-11 07:01:07,751 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 90/126 +[2025-03-11 07:01:07,789 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 91/126 +[2025-03-11 07:01:07,823 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 92/126 +[2025-03-11 07:01:07,856 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 93/126 +[2025-03-11 07:01:07,888 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 94/126 +[2025-03-11 07:01:07,922 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 95/126 +[2025-03-11 07:01:07,956 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 96/126 +[2025-03-11 07:01:07,989 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 97/126 +[2025-03-11 07:01:08,022 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 98/126 +[2025-03-11 07:01:08,055 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 99/126 +[2025-03-11 07:01:08,088 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 100/126 +[2025-03-11 07:01:08,121 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 101/126 +[2025-03-11 07:01:08,154 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 102/126 +[2025-03-11 07:01:08,189 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 103/126 +[2025-03-11 07:01:08,222 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 104/126 +[2025-03-11 07:01:08,254 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 105/126 +[2025-03-11 07:01:08,286 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 106/126 +[2025-03-11 07:01:08,320 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 107/126 +[2025-03-11 07:01:08,354 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 108/126 +[2025-03-11 07:01:08,386 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 109/126 +[2025-03-11 07:01:08,418 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 110/126 +[2025-03-11 07:01:08,451 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 111/126 +[2025-03-11 07:01:08,484 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 112/126 +[2025-03-11 07:01:08,519 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 113/126 +[2025-03-11 07:01:08,553 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 114/126 +[2025-03-11 07:01:08,587 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 115/126 +[2025-03-11 07:01:08,620 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 116/126 +[2025-03-11 07:01:08,652 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 117/126 +[2025-03-11 07:01:08,684 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 118/126 +[2025-03-11 07:01:08,716 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 119/126 +[2025-03-11 07:01:08,748 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 120/126 +[2025-03-11 07:01:08,781 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 121/126 +[2025-03-11 07:01:08,812 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 122/126 +[2025-03-11 07:01:08,845 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 123/126 +[2025-03-11 07:01:08,876 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 124/126 +[2025-03-11 07:01:08,908 INFO test.py line 201 2389709] Test: 64/78-scene0474_04, Batch: 125/126 +[2025-03-11 07:01:09,138 INFO test.py line 291 2389709] Test: scene0474_04 [64/78]-178388 Batch 4.652 (4.587) Accuracy 0.8165 (0.3855) mIoU 0.4358 (0.3091) +[2025-03-11 07:01:09,189 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 0/108 +[2025-03-11 07:01:09,219 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 1/108 +[2025-03-11 07:01:09,247 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 2/108 +[2025-03-11 07:01:09,276 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 3/108 +[2025-03-11 07:01:09,305 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 4/108 +[2025-03-11 07:01:09,335 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 5/108 +[2025-03-11 07:01:09,362 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 6/108 +[2025-03-11 07:01:09,391 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 7/108 +[2025-03-11 07:01:09,430 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 8/108 +[2025-03-11 07:01:09,459 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 9/108 +[2025-03-11 07:01:09,485 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 10/108 +[2025-03-11 07:01:09,514 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 11/108 +[2025-03-11 07:01:09,541 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 12/108 +[2025-03-11 07:01:09,583 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 13/108 +[2025-03-11 07:01:09,618 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 14/108 +[2025-03-11 07:01:09,653 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 15/108 +[2025-03-11 07:01:09,682 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 16/108 +[2025-03-11 07:01:09,711 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 17/108 +[2025-03-11 07:01:09,749 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 18/108 +[2025-03-11 07:01:09,782 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 19/108 +[2025-03-11 07:01:09,809 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 20/108 +[2025-03-11 07:01:09,840 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 21/108 +[2025-03-11 07:01:09,868 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 22/108 +[2025-03-11 07:01:09,909 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 23/108 +[2025-03-11 07:01:09,937 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 24/108 +[2025-03-11 07:01:09,977 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 25/108 +[2025-03-11 07:01:10,009 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 26/108 +[2025-03-11 07:01:10,037 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 27/108 +[2025-03-11 07:01:10,075 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 28/108 +[2025-03-11 07:01:10,103 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 29/108 +[2025-03-11 07:01:10,130 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 30/108 +[2025-03-11 07:01:10,164 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 31/108 +[2025-03-11 07:01:10,192 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 32/108 +[2025-03-11 07:01:10,220 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 33/108 +[2025-03-11 07:01:10,247 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 34/108 +[2025-03-11 07:01:10,279 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 35/108 +[2025-03-11 07:01:10,307 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 36/108 +[2025-03-11 07:01:10,336 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 37/108 +[2025-03-11 07:01:10,372 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 38/108 +[2025-03-11 07:01:10,427 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 39/108 +[2025-03-11 07:01:10,465 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 40/108 +[2025-03-11 07:01:10,495 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 41/108 +[2025-03-11 07:01:10,524 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 42/108 +[2025-03-11 07:01:10,552 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 43/108 +[2025-03-11 07:01:10,582 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 44/108 +[2025-03-11 07:01:10,611 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 45/108 +[2025-03-11 07:01:10,638 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 46/108 +[2025-03-11 07:01:10,667 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 47/108 +[2025-03-11 07:01:10,694 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 48/108 +[2025-03-11 07:01:10,722 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 49/108 +[2025-03-11 07:01:10,752 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 50/108 +[2025-03-11 07:01:10,782 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 51/108 +[2025-03-11 07:01:10,811 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 52/108 +[2025-03-11 07:01:10,842 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 53/108 +[2025-03-11 07:01:10,872 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 54/108 +[2025-03-11 07:01:10,900 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 55/108 +[2025-03-11 07:01:10,980 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 56/108 +[2025-03-11 07:01:11,037 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 57/108 +[2025-03-11 07:01:11,067 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 58/108 +[2025-03-11 07:01:11,096 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 59/108 +[2025-03-11 07:01:11,124 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 60/108 +[2025-03-11 07:01:11,153 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 61/108 +[2025-03-11 07:01:11,180 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 62/108 +[2025-03-11 07:01:11,207 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 63/108 +[2025-03-11 07:01:11,237 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 64/108 +[2025-03-11 07:01:11,265 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 65/108 +[2025-03-11 07:01:11,293 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 66/108 +[2025-03-11 07:01:11,321 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 67/108 +[2025-03-11 07:01:11,349 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 68/108 +[2025-03-11 07:01:11,376 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 69/108 +[2025-03-11 07:01:11,405 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 70/108 +[2025-03-11 07:01:11,434 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 71/108 +[2025-03-11 07:01:11,463 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 72/108 +[2025-03-11 07:01:11,492 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 73/108 +[2025-03-11 07:01:11,523 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 74/108 +[2025-03-11 07:01:11,554 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 75/108 +[2025-03-11 07:01:11,613 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 76/108 +[2025-03-11 07:01:11,649 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 77/108 +[2025-03-11 07:01:11,691 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 78/108 +[2025-03-11 07:01:11,733 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 79/108 +[2025-03-11 07:01:11,780 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 80/108 +[2025-03-11 07:01:11,829 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 81/108 +[2025-03-11 07:01:11,858 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 82/108 +[2025-03-11 07:01:11,888 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 83/108 +[2025-03-11 07:01:11,916 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 84/108 +[2025-03-11 07:01:11,945 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 85/108 +[2025-03-11 07:01:11,973 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 86/108 +[2025-03-11 07:01:12,028 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 87/108 +[2025-03-11 07:01:12,060 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 88/108 +[2025-03-11 07:01:12,091 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 89/108 +[2025-03-11 07:01:12,121 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 90/108 +[2025-03-11 07:01:12,151 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 91/108 +[2025-03-11 07:01:12,180 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 92/108 +[2025-03-11 07:01:12,232 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 93/108 +[2025-03-11 07:01:12,265 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 94/108 +[2025-03-11 07:01:12,292 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 95/108 +[2025-03-11 07:01:12,321 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 96/108 +[2025-03-11 07:01:12,349 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 97/108 +[2025-03-11 07:01:12,378 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 98/108 +[2025-03-11 07:01:12,407 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 99/108 +[2025-03-11 07:01:12,436 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 100/108 +[2025-03-11 07:01:12,464 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 101/108 +[2025-03-11 07:01:12,492 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 102/108 +[2025-03-11 07:01:12,519 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 103/108 +[2025-03-11 07:01:12,547 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 104/108 +[2025-03-11 07:01:12,574 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 105/108 +[2025-03-11 07:01:12,603 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 106/108 +[2025-03-11 07:01:12,632 INFO test.py line 201 2389709] Test: 65/78-scene0256_02, Batch: 107/108 +[2025-03-11 07:01:12,762 INFO test.py line 291 2389709] Test: scene0256_02 [65/78]-92069 Batch 3.623 (4.572) Accuracy 0.7674 (0.3848) mIoU 0.1687 (0.3075) +[2025-03-11 07:01:12,854 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 0/126 +[2025-03-11 07:01:12,890 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 1/126 +[2025-03-11 07:01:12,926 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 2/126 +[2025-03-11 07:01:12,962 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 3/126 +[2025-03-11 07:01:13,022 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 4/126 +[2025-03-11 07:01:13,055 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 5/126 +[2025-03-11 07:01:13,091 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 6/126 +[2025-03-11 07:01:13,127 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 7/126 +[2025-03-11 07:01:13,162 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 8/126 +[2025-03-11 07:01:13,199 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 9/126 +[2025-03-11 07:01:13,259 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 10/126 +[2025-03-11 07:01:13,324 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 11/126 +[2025-03-11 07:01:13,360 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 12/126 +[2025-03-11 07:01:13,394 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 13/126 +[2025-03-11 07:01:13,429 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 14/126 +[2025-03-11 07:01:13,464 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 15/126 +[2025-03-11 07:01:13,499 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 16/126 +[2025-03-11 07:01:13,580 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 17/126 +[2025-03-11 07:01:13,616 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 18/126 +[2025-03-11 07:01:13,651 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 19/126 +[2025-03-11 07:01:13,687 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 20/126 +[2025-03-11 07:01:13,721 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 21/126 +[2025-03-11 07:01:13,756 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 22/126 +[2025-03-11 07:01:13,829 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 23/126 +[2025-03-11 07:01:13,868 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 24/126 +[2025-03-11 07:01:13,911 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 25/126 +[2025-03-11 07:01:13,972 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 26/126 +[2025-03-11 07:01:14,011 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 27/126 +[2025-03-11 07:01:14,069 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 28/126 +[2025-03-11 07:01:14,112 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 29/126 +[2025-03-11 07:01:14,170 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 30/126 +[2025-03-11 07:01:14,211 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 31/126 +[2025-03-11 07:01:14,251 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 32/126 +[2025-03-11 07:01:14,296 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 33/126 +[2025-03-11 07:01:14,335 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 34/126 +[2025-03-11 07:01:14,401 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 35/126 +[2025-03-11 07:01:14,468 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 36/126 +[2025-03-11 07:01:14,501 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 37/126 +[2025-03-11 07:01:14,538 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 38/126 +[2025-03-11 07:01:14,703 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 39/126 +[2025-03-11 07:01:14,735 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 40/126 +[2025-03-11 07:01:14,767 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 41/126 +[2025-03-11 07:01:14,800 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 42/126 +[2025-03-11 07:01:14,831 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 43/126 +[2025-03-11 07:01:14,862 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 44/126 +[2025-03-11 07:01:14,896 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 45/126 +[2025-03-11 07:01:14,927 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 46/126 +[2025-03-11 07:01:14,959 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 47/126 +[2025-03-11 07:01:14,990 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 48/126 +[2025-03-11 07:01:15,021 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 49/126 +[2025-03-11 07:01:15,053 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 50/126 +[2025-03-11 07:01:15,084 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 51/126 +[2025-03-11 07:01:15,117 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 52/126 +[2025-03-11 07:01:15,149 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 53/126 +[2025-03-11 07:01:15,200 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 54/126 +[2025-03-11 07:01:15,238 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 55/126 +[2025-03-11 07:01:15,276 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 56/126 +[2025-03-11 07:01:15,318 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 57/126 +[2025-03-11 07:01:15,366 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 58/126 +[2025-03-11 07:01:15,407 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 59/126 +[2025-03-11 07:01:15,451 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 60/126 +[2025-03-11 07:01:15,500 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 61/126 +[2025-03-11 07:01:15,542 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 62/126 +[2025-03-11 07:01:15,593 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 63/126 +[2025-03-11 07:01:15,646 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 64/126 +[2025-03-11 07:01:15,685 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 65/126 +[2025-03-11 07:01:15,731 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 66/126 +[2025-03-11 07:01:15,771 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 67/126 +[2025-03-11 07:01:15,802 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 68/126 +[2025-03-11 07:01:15,833 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 69/126 +[2025-03-11 07:01:15,866 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 70/126 +[2025-03-11 07:01:15,898 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 71/126 +[2025-03-11 07:01:15,932 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 72/126 +[2025-03-11 07:01:15,963 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 73/126 +[2025-03-11 07:01:15,995 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 74/126 +[2025-03-11 07:01:16,027 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 75/126 +[2025-03-11 07:01:16,059 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 76/126 +[2025-03-11 07:01:16,090 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 77/126 +[2025-03-11 07:01:16,120 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 78/126 +[2025-03-11 07:01:16,152 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 79/126 +[2025-03-11 07:01:16,186 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 80/126 +[2025-03-11 07:01:16,219 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 81/126 +[2025-03-11 07:01:16,252 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 82/126 +[2025-03-11 07:01:16,293 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 83/126 +[2025-03-11 07:01:16,327 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 84/126 +[2025-03-11 07:01:16,362 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 85/126 +[2025-03-11 07:01:16,396 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 86/126 +[2025-03-11 07:01:16,430 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 87/126 +[2025-03-11 07:01:16,463 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 88/126 +[2025-03-11 07:01:16,501 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 89/126 +[2025-03-11 07:01:16,535 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 90/126 +[2025-03-11 07:01:16,568 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 91/126 +[2025-03-11 07:01:16,605 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 92/126 +[2025-03-11 07:01:16,639 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 93/126 +[2025-03-11 07:01:16,672 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 94/126 +[2025-03-11 07:01:16,705 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 95/126 +[2025-03-11 07:01:16,739 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 96/126 +[2025-03-11 07:01:16,773 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 97/126 +[2025-03-11 07:01:16,806 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 98/126 +[2025-03-11 07:01:16,840 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 99/126 +[2025-03-11 07:01:16,873 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 100/126 +[2025-03-11 07:01:16,908 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 101/126 +[2025-03-11 07:01:16,942 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 102/126 +[2025-03-11 07:01:16,975 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 103/126 +[2025-03-11 07:01:17,009 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 104/126 +[2025-03-11 07:01:17,042 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 105/126 +[2025-03-11 07:01:17,076 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 106/126 +[2025-03-11 07:01:17,109 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 107/126 +[2025-03-11 07:01:17,143 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 108/126 +[2025-03-11 07:01:17,176 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 109/126 +[2025-03-11 07:01:17,208 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 110/126 +[2025-03-11 07:01:17,242 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 111/126 +[2025-03-11 07:01:17,277 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 112/126 +[2025-03-11 07:01:17,310 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 113/126 +[2025-03-11 07:01:17,345 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 114/126 +[2025-03-11 07:01:17,378 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 115/126 +[2025-03-11 07:01:17,411 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 116/126 +[2025-03-11 07:01:17,443 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 117/126 +[2025-03-11 07:01:17,478 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 118/126 +[2025-03-11 07:01:17,510 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 119/126 +[2025-03-11 07:01:17,542 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 120/126 +[2025-03-11 07:01:17,575 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 121/126 +[2025-03-11 07:01:17,607 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 122/126 +[2025-03-11 07:01:17,656 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 123/126 +[2025-03-11 07:01:17,688 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 124/126 +[2025-03-11 07:01:17,720 INFO test.py line 201 2389709] Test: 66/78-scene0025_02, Batch: 125/126 +[2025-03-11 07:01:17,920 INFO test.py line 291 2389709] Test: scene0025_02 [66/78]-177900 Batch 5.158 (4.581) Accuracy 0.7011 (0.3845) mIoU 0.2708 (0.3067) +[2025-03-11 07:01:18,010 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 0/148 +[2025-03-11 07:01:18,048 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 1/148 +[2025-03-11 07:01:18,086 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 2/148 +[2025-03-11 07:01:18,124 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 3/148 +[2025-03-11 07:01:18,165 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 4/148 +[2025-03-11 07:01:18,202 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 5/148 +[2025-03-11 07:01:18,240 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 6/148 +[2025-03-11 07:01:18,278 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 7/148 +[2025-03-11 07:01:18,315 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 8/148 +[2025-03-11 07:01:18,353 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 9/148 +[2025-03-11 07:01:18,390 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 10/148 +[2025-03-11 07:01:18,428 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 11/148 +[2025-03-11 07:01:18,467 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 12/148 +[2025-03-11 07:01:18,505 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 13/148 +[2025-03-11 07:01:18,544 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 14/148 +[2025-03-11 07:01:18,582 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 15/148 +[2025-03-11 07:01:18,620 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 16/148 +[2025-03-11 07:01:18,658 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 17/148 +[2025-03-11 07:01:18,695 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 18/148 +[2025-03-11 07:01:18,733 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 19/148 +[2025-03-11 07:01:18,776 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 20/148 +[2025-03-11 07:01:18,815 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 21/148 +[2025-03-11 07:01:18,864 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 22/148 +[2025-03-11 07:01:18,924 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 23/148 +[2025-03-11 07:01:18,967 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 24/148 +[2025-03-11 07:01:19,008 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 25/148 +[2025-03-11 07:01:19,057 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 26/148 +[2025-03-11 07:01:19,111 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 27/148 +[2025-03-11 07:01:19,151 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 28/148 +[2025-03-11 07:01:19,193 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 29/148 +[2025-03-11 07:01:19,237 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 30/148 +[2025-03-11 07:01:19,277 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 31/148 +[2025-03-11 07:01:19,315 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 32/148 +[2025-03-11 07:01:19,353 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 33/148 +[2025-03-11 07:01:19,393 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 34/148 +[2025-03-11 07:01:19,433 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 35/148 +[2025-03-11 07:01:19,471 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 36/148 +[2025-03-11 07:01:19,517 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 37/148 +[2025-03-11 07:01:19,556 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 38/148 +[2025-03-11 07:01:19,594 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 39/148 +[2025-03-11 07:01:19,632 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 40/148 +[2025-03-11 07:01:19,669 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 41/148 +[2025-03-11 07:01:19,707 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 42/148 +[2025-03-11 07:01:19,745 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 43/148 +[2025-03-11 07:01:19,782 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 44/148 +[2025-03-11 07:01:19,819 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 45/148 +[2025-03-11 07:01:19,858 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 46/148 +[2025-03-11 07:01:19,897 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 47/148 +[2025-03-11 07:01:19,932 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 48/148 +[2025-03-11 07:01:19,968 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 49/148 +[2025-03-11 07:01:20,003 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 50/148 +[2025-03-11 07:01:20,040 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 51/148 +[2025-03-11 07:01:20,078 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 52/148 +[2025-03-11 07:01:20,118 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 53/148 +[2025-03-11 07:01:20,163 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 54/148 +[2025-03-11 07:01:20,200 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 55/148 +[2025-03-11 07:01:20,238 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 56/148 +[2025-03-11 07:01:20,275 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 57/148 +[2025-03-11 07:01:20,311 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 58/148 +[2025-03-11 07:01:20,345 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 59/148 +[2025-03-11 07:01:20,381 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 60/148 +[2025-03-11 07:01:20,417 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 61/148 +[2025-03-11 07:01:20,454 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 62/148 +[2025-03-11 07:01:20,491 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 63/148 +[2025-03-11 07:01:20,528 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 64/148 +[2025-03-11 07:01:20,589 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 65/148 +[2025-03-11 07:01:20,625 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 66/148 +[2025-03-11 07:01:20,660 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 67/148 +[2025-03-11 07:01:20,696 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 68/148 +[2025-03-11 07:01:20,731 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 69/148 +[2025-03-11 07:01:20,770 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 70/148 +[2025-03-11 07:01:20,808 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 71/148 +[2025-03-11 07:01:20,851 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 72/148 +[2025-03-11 07:01:20,887 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 73/148 +[2025-03-11 07:01:20,924 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 74/148 +[2025-03-11 07:01:20,969 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 75/148 +[2025-03-11 07:01:21,004 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 76/148 +[2025-03-11 07:01:21,041 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 77/148 +[2025-03-11 07:01:21,100 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 78/148 +[2025-03-11 07:01:21,136 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 79/148 +[2025-03-11 07:01:21,173 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 80/148 +[2025-03-11 07:01:21,208 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 81/148 +[2025-03-11 07:01:21,244 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 82/148 +[2025-03-11 07:01:21,282 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 83/148 +[2025-03-11 07:01:21,317 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 84/148 +[2025-03-11 07:01:21,353 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 85/148 +[2025-03-11 07:01:21,388 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 86/148 +[2025-03-11 07:01:21,424 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 87/148 +[2025-03-11 07:01:21,459 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 88/148 +[2025-03-11 07:01:21,495 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 89/148 +[2025-03-11 07:01:21,530 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 90/148 +[2025-03-11 07:01:21,566 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 91/148 +[2025-03-11 07:01:21,603 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 92/148 +[2025-03-11 07:01:21,659 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 93/148 +[2025-03-11 07:01:21,696 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 94/148 +[2025-03-11 07:01:21,733 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 95/148 +[2025-03-11 07:01:21,773 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 96/148 +[2025-03-11 07:01:21,812 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 97/148 +[2025-03-11 07:01:21,851 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 98/148 +[2025-03-11 07:01:21,890 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 99/148 +[2025-03-11 07:01:21,930 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 100/148 +[2025-03-11 07:01:21,971 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 101/148 +[2025-03-11 07:01:22,011 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 102/148 +[2025-03-11 07:01:22,051 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 103/148 +[2025-03-11 07:01:22,092 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 104/148 +[2025-03-11 07:01:22,132 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 105/148 +[2025-03-11 07:01:22,172 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 106/148 +[2025-03-11 07:01:22,213 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 107/148 +[2025-03-11 07:01:22,252 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 108/148 +[2025-03-11 07:01:22,292 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 109/148 +[2025-03-11 07:01:22,332 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 110/148 +[2025-03-11 07:01:22,373 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 111/148 +[2025-03-11 07:01:22,416 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 112/148 +[2025-03-11 07:01:22,454 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 113/148 +[2025-03-11 07:01:22,492 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 114/148 +[2025-03-11 07:01:22,531 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 115/148 +[2025-03-11 07:01:22,582 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 116/148 +[2025-03-11 07:01:22,621 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 117/148 +[2025-03-11 07:01:22,661 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 118/148 +[2025-03-11 07:01:22,702 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 119/148 +[2025-03-11 07:01:22,742 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 120/148 +[2025-03-11 07:01:22,781 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 121/148 +[2025-03-11 07:01:22,824 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 122/148 +[2025-03-11 07:01:22,866 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 123/148 +[2025-03-11 07:01:22,907 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 124/148 +[2025-03-11 07:01:22,946 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 125/148 +[2025-03-11 07:01:22,986 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 126/148 +[2025-03-11 07:01:23,025 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 127/148 +[2025-03-11 07:01:23,066 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 128/148 +[2025-03-11 07:01:23,106 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 129/148 +[2025-03-11 07:01:23,145 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 130/148 +[2025-03-11 07:01:23,185 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 131/148 +[2025-03-11 07:01:23,224 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 132/148 +[2025-03-11 07:01:23,264 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 133/148 +[2025-03-11 07:01:23,304 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 134/148 +[2025-03-11 07:01:23,343 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 135/148 +[2025-03-11 07:01:23,380 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 136/148 +[2025-03-11 07:01:23,425 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 137/148 +[2025-03-11 07:01:23,463 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 138/148 +[2025-03-11 07:01:23,501 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 139/148 +[2025-03-11 07:01:23,539 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 140/148 +[2025-03-11 07:01:23,576 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 141/148 +[2025-03-11 07:01:23,616 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 142/148 +[2025-03-11 07:01:23,660 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 143/148 +[2025-03-11 07:01:23,700 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 144/148 +[2025-03-11 07:01:23,740 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 145/148 +[2025-03-11 07:01:23,777 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 146/148 +[2025-03-11 07:01:23,821 INFO test.py line 201 2389709] Test: 67/78-scene0568_01, Batch: 147/148 +[2025-03-11 07:01:24,087 INFO test.py line 291 2389709] Test: scene0568_01 [67/78]-239388 Batch 6.167 (4.605) Accuracy 0.8777 (0.3895) mIoU 0.3041 (0.3090) +[2025-03-11 07:01:24,143 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 0/130 +[2025-03-11 07:01:24,171 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 1/130 +[2025-03-11 07:01:24,198 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 2/130 +[2025-03-11 07:01:24,233 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 3/130 +[2025-03-11 07:01:24,261 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 4/130 +[2025-03-11 07:01:24,288 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 5/130 +[2025-03-11 07:01:24,315 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 6/130 +[2025-03-11 07:01:24,344 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 7/130 +[2025-03-11 07:01:24,371 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 8/130 +[2025-03-11 07:01:24,407 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 9/130 +[2025-03-11 07:01:24,434 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 10/130 +[2025-03-11 07:01:24,461 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 11/130 +[2025-03-11 07:01:24,497 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 12/130 +[2025-03-11 07:01:24,525 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 13/130 +[2025-03-11 07:01:24,552 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 14/130 +[2025-03-11 07:01:24,586 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 15/130 +[2025-03-11 07:01:24,624 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 16/130 +[2025-03-11 07:01:24,652 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 17/130 +[2025-03-11 07:01:24,680 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 18/130 +[2025-03-11 07:01:24,733 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 19/130 +[2025-03-11 07:01:24,761 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 20/130 +[2025-03-11 07:01:24,793 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 21/130 +[2025-03-11 07:01:24,822 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 22/130 +[2025-03-11 07:01:24,849 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 23/130 +[2025-03-11 07:01:24,876 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 24/130 +[2025-03-11 07:01:24,904 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 25/130 +[2025-03-11 07:01:24,933 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 26/130 +[2025-03-11 07:01:24,961 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 27/130 +[2025-03-11 07:01:24,989 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 28/130 +[2025-03-11 07:01:25,016 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 29/130 +[2025-03-11 07:01:25,052 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 30/130 +[2025-03-11 07:01:25,078 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 31/130 +[2025-03-11 07:01:25,101 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 32/130 +[2025-03-11 07:01:25,127 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 33/130 +[2025-03-11 07:01:25,150 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 34/130 +[2025-03-11 07:01:25,174 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 35/130 +[2025-03-11 07:01:25,198 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 36/130 +[2025-03-11 07:01:25,222 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 37/130 +[2025-03-11 07:01:25,245 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 38/130 +[2025-03-11 07:01:25,268 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 39/130 +[2025-03-11 07:01:25,291 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 40/130 +[2025-03-11 07:01:25,314 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 41/130 +[2025-03-11 07:01:25,336 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 42/130 +[2025-03-11 07:01:25,360 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 43/130 +[2025-03-11 07:01:25,381 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 44/130 +[2025-03-11 07:01:25,403 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 45/130 +[2025-03-11 07:01:25,425 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 46/130 +[2025-03-11 07:01:25,450 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 47/130 +[2025-03-11 07:01:25,477 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 48/130 +[2025-03-11 07:01:25,503 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 49/130 +[2025-03-11 07:01:25,531 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 50/130 +[2025-03-11 07:01:25,556 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 51/130 +[2025-03-11 07:01:25,583 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 52/130 +[2025-03-11 07:01:25,610 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 53/130 +[2025-03-11 07:01:25,636 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 54/130 +[2025-03-11 07:01:25,662 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 55/130 +[2025-03-11 07:01:25,688 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 56/130 +[2025-03-11 07:01:25,714 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 57/130 +[2025-03-11 07:01:25,740 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 58/130 +[2025-03-11 07:01:25,767 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 59/130 +[2025-03-11 07:01:25,793 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 60/130 +[2025-03-11 07:01:25,819 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 61/130 +[2025-03-11 07:01:25,850 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 62/130 +[2025-03-11 07:01:25,877 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 63/130 +[2025-03-11 07:01:25,903 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 64/130 +[2025-03-11 07:01:25,930 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 65/130 +[2025-03-11 07:01:25,956 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 66/130 +[2025-03-11 07:01:25,983 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 67/130 +[2025-03-11 07:01:26,011 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 68/130 +[2025-03-11 07:01:26,038 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 69/130 +[2025-03-11 07:01:26,065 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 70/130 +[2025-03-11 07:01:26,092 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 71/130 +[2025-03-11 07:01:26,130 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 72/130 +[2025-03-11 07:01:26,161 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 73/130 +[2025-03-11 07:01:26,194 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 74/130 +[2025-03-11 07:01:26,223 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 75/130 +[2025-03-11 07:01:26,249 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 76/130 +[2025-03-11 07:01:26,276 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 77/130 +[2025-03-11 07:01:26,304 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 78/130 +[2025-03-11 07:01:26,329 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 79/130 +[2025-03-11 07:01:26,355 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 80/130 +[2025-03-11 07:01:26,381 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 81/130 +[2025-03-11 07:01:26,417 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 82/130 +[2025-03-11 07:01:26,445 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 83/130 +[2025-03-11 07:01:26,472 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 84/130 +[2025-03-11 07:01:26,499 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 85/130 +[2025-03-11 07:01:26,527 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 86/130 +[2025-03-11 07:01:26,556 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 87/130 +[2025-03-11 07:01:26,584 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 88/130 +[2025-03-11 07:01:26,610 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 89/130 +[2025-03-11 07:01:26,644 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 90/130 +[2025-03-11 07:01:26,673 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 91/130 +[2025-03-11 07:01:26,701 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 92/130 +[2025-03-11 07:01:26,749 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 93/130 +[2025-03-11 07:01:26,776 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 94/130 +[2025-03-11 07:01:26,804 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 95/130 +[2025-03-11 07:01:26,834 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 96/130 +[2025-03-11 07:01:26,862 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 97/130 +[2025-03-11 07:01:26,889 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 98/130 +[2025-03-11 07:01:26,917 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 99/130 +[2025-03-11 07:01:26,944 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 100/130 +[2025-03-11 07:01:26,972 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 101/130 +[2025-03-11 07:01:27,006 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 102/130 +[2025-03-11 07:01:27,034 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 103/130 +[2025-03-11 07:01:27,061 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 104/130 +[2025-03-11 07:01:27,089 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 105/130 +[2025-03-11 07:01:27,124 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 106/130 +[2025-03-11 07:01:27,152 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 107/130 +[2025-03-11 07:01:27,180 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 108/130 +[2025-03-11 07:01:27,208 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 109/130 +[2025-03-11 07:01:27,235 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 110/130 +[2025-03-11 07:01:27,267 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 111/130 +[2025-03-11 07:01:27,306 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 112/130 +[2025-03-11 07:01:27,334 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 113/130 +[2025-03-11 07:01:27,362 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 114/130 +[2025-03-11 07:01:27,390 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 115/130 +[2025-03-11 07:01:27,419 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 116/130 +[2025-03-11 07:01:27,449 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 117/130 +[2025-03-11 07:01:27,477 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 118/130 +[2025-03-11 07:01:27,505 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 119/130 +[2025-03-11 07:01:27,533 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 120/130 +[2025-03-11 07:01:27,560 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 121/130 +[2025-03-11 07:01:27,588 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 122/130 +[2025-03-11 07:01:27,619 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 123/130 +[2025-03-11 07:01:27,647 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 124/130 +[2025-03-11 07:01:27,684 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 125/130 +[2025-03-11 07:01:27,712 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 126/130 +[2025-03-11 07:01:27,739 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 127/130 +[2025-03-11 07:01:27,766 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 128/130 +[2025-03-11 07:01:27,801 INFO test.py line 201 2389709] Test: 68/78-scene0426_02, Batch: 129/130 +[2025-03-11 07:01:27,946 INFO test.py line 291 2389709] Test: scene0426_02 [68/78]-125149 Batch 3.858 (4.594) Accuracy 0.7351 (0.3884) mIoU 0.2567 (0.3088) +[2025-03-11 07:01:28,006 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 0/122 +[2025-03-11 07:01:28,054 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 1/122 +[2025-03-11 07:01:28,077 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 2/122 +[2025-03-11 07:01:28,100 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 3/122 +[2025-03-11 07:01:28,123 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 4/122 +[2025-03-11 07:01:28,147 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 5/122 +[2025-03-11 07:01:28,170 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 6/122 +[2025-03-11 07:01:28,193 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 7/122 +[2025-03-11 07:01:28,217 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 8/122 +[2025-03-11 07:01:28,241 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 9/122 +[2025-03-11 07:01:28,264 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 10/122 +[2025-03-11 07:01:28,287 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 11/122 +[2025-03-11 07:01:28,310 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 12/122 +[2025-03-11 07:01:28,333 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 13/122 +[2025-03-11 07:01:28,357 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 14/122 +[2025-03-11 07:01:28,381 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 15/122 +[2025-03-11 07:01:28,405 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 16/122 +[2025-03-11 07:01:28,437 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 17/122 +[2025-03-11 07:01:28,460 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 18/122 +[2025-03-11 07:01:28,482 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 19/122 +[2025-03-11 07:01:28,505 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 20/122 +[2025-03-11 07:01:28,532 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 21/122 +[2025-03-11 07:01:28,555 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 22/122 +[2025-03-11 07:01:28,578 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 23/122 +[2025-03-11 07:01:28,602 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 24/122 +[2025-03-11 07:01:28,624 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 25/122 +[2025-03-11 07:01:28,653 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 26/122 +[2025-03-11 07:01:28,677 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 27/122 +[2025-03-11 07:01:28,701 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 28/122 +[2025-03-11 07:01:28,732 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 29/122 +[2025-03-11 07:01:28,758 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 30/122 +[2025-03-11 07:01:28,781 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 31/122 +[2025-03-11 07:01:28,805 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 32/122 +[2025-03-11 07:01:28,829 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 33/122 +[2025-03-11 07:01:28,865 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 34/122 +[2025-03-11 07:01:28,889 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 35/122 +[2025-03-11 07:01:28,912 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 36/122 +[2025-03-11 07:01:28,937 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 37/122 +[2025-03-11 07:01:28,960 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 38/122 +[2025-03-11 07:01:28,989 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 39/122 +[2025-03-11 07:01:29,012 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 40/122 +[2025-03-11 07:01:29,035 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 41/122 +[2025-03-11 07:01:29,058 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 42/122 +[2025-03-11 07:01:29,080 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 43/122 +[2025-03-11 07:01:29,105 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 44/122 +[2025-03-11 07:01:29,128 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 45/122 +[2025-03-11 07:01:29,152 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 46/122 +[2025-03-11 07:01:29,176 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 47/122 +[2025-03-11 07:01:29,200 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 48/122 +[2025-03-11 07:01:29,224 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 49/122 +[2025-03-11 07:01:29,253 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 50/122 +[2025-03-11 07:01:29,276 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 51/122 +[2025-03-11 07:01:29,298 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 52/122 +[2025-03-11 07:01:29,320 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 53/122 +[2025-03-11 07:01:29,343 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 54/122 +[2025-03-11 07:01:29,366 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 55/122 +[2025-03-11 07:01:29,391 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 56/122 +[2025-03-11 07:01:29,414 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 57/122 +[2025-03-11 07:01:29,437 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 58/122 +[2025-03-11 07:01:29,461 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 59/122 +[2025-03-11 07:01:29,484 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 60/122 +[2025-03-11 07:01:29,507 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 61/122 +[2025-03-11 07:01:29,530 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 62/122 +[2025-03-11 07:01:29,557 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 63/122 +[2025-03-11 07:01:29,579 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 64/122 +[2025-03-11 07:01:29,602 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 65/122 +[2025-03-11 07:01:29,624 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 66/122 +[2025-03-11 07:01:29,647 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 67/122 +[2025-03-11 07:01:29,669 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 68/122 +[2025-03-11 07:01:29,692 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 69/122 +[2025-03-11 07:01:29,720 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 70/122 +[2025-03-11 07:01:29,748 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 71/122 +[2025-03-11 07:01:29,771 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 72/122 +[2025-03-11 07:01:29,795 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 73/122 +[2025-03-11 07:01:29,818 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 74/122 +[2025-03-11 07:01:29,848 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 75/122 +[2025-03-11 07:01:29,871 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 76/122 +[2025-03-11 07:01:29,893 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 77/122 +[2025-03-11 07:01:29,914 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 78/122 +[2025-03-11 07:01:29,937 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 79/122 +[2025-03-11 07:01:29,961 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 80/122 +[2025-03-11 07:01:29,984 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 81/122 +[2025-03-11 07:01:30,006 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 82/122 +[2025-03-11 07:01:30,029 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 83/122 +[2025-03-11 07:01:30,051 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 84/122 +[2025-03-11 07:01:30,076 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 85/122 +[2025-03-11 07:01:30,100 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 86/122 +[2025-03-11 07:01:30,123 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 87/122 +[2025-03-11 07:01:30,147 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 88/122 +[2025-03-11 07:01:30,171 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 89/122 +[2025-03-11 07:01:30,195 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 90/122 +[2025-03-11 07:01:30,219 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 91/122 +[2025-03-11 07:01:30,246 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 92/122 +[2025-03-11 07:01:30,269 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 93/122 +[2025-03-11 07:01:30,293 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 94/122 +[2025-03-11 07:01:30,317 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 95/122 +[2025-03-11 07:01:30,339 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 96/122 +[2025-03-11 07:01:30,363 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 97/122 +[2025-03-11 07:01:30,387 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 98/122 +[2025-03-11 07:01:30,410 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 99/122 +[2025-03-11 07:01:30,433 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 100/122 +[2025-03-11 07:01:30,457 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 101/122 +[2025-03-11 07:01:30,480 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 102/122 +[2025-03-11 07:01:30,508 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 103/122 +[2025-03-11 07:01:30,535 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 104/122 +[2025-03-11 07:01:30,560 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 105/122 +[2025-03-11 07:01:30,583 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 106/122 +[2025-03-11 07:01:30,606 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 107/122 +[2025-03-11 07:01:30,628 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 108/122 +[2025-03-11 07:01:30,652 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 109/122 +[2025-03-11 07:01:30,676 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 110/122 +[2025-03-11 07:01:30,699 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 111/122 +[2025-03-11 07:01:30,722 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 112/122 +[2025-03-11 07:01:30,745 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 113/122 +[2025-03-11 07:01:30,771 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 114/122 +[2025-03-11 07:01:30,797 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 115/122 +[2025-03-11 07:01:30,822 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 116/122 +[2025-03-11 07:01:30,845 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 117/122 +[2025-03-11 07:01:30,869 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 118/122 +[2025-03-11 07:01:30,892 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 119/122 +[2025-03-11 07:01:30,916 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 120/122 +[2025-03-11 07:01:30,947 INFO test.py line 201 2389709] Test: 69/78-scene0355_01, Batch: 121/122 +[2025-03-11 07:01:31,032 INFO test.py line 291 2389709] Test: scene0355_01 [69/78]-67623 Batch 3.085 (4.572) Accuracy 0.9609 (0.3885) mIoU 0.6179 (0.3088) +[2025-03-11 07:01:31,077 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 0/142 +[2025-03-11 07:01:31,101 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 1/142 +[2025-03-11 07:01:31,125 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 2/142 +[2025-03-11 07:01:31,150 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 3/142 +[2025-03-11 07:01:31,175 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 4/142 +[2025-03-11 07:01:31,198 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 5/142 +[2025-03-11 07:01:31,222 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 6/142 +[2025-03-11 07:01:31,245 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 7/142 +[2025-03-11 07:01:31,268 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 8/142 +[2025-03-11 07:01:31,292 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 9/142 +[2025-03-11 07:01:31,316 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 10/142 +[2025-03-11 07:01:31,340 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 11/142 +[2025-03-11 07:01:31,363 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 12/142 +[2025-03-11 07:01:31,386 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 13/142 +[2025-03-11 07:01:31,417 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 14/142 +[2025-03-11 07:01:31,441 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 15/142 +[2025-03-11 07:01:31,465 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 16/142 +[2025-03-11 07:01:31,496 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 17/142 +[2025-03-11 07:01:31,544 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 18/142 +[2025-03-11 07:01:31,579 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 19/142 +[2025-03-11 07:01:31,612 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 20/142 +[2025-03-11 07:01:31,642 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 21/142 +[2025-03-11 07:01:31,673 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 22/142 +[2025-03-11 07:01:31,701 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 23/142 +[2025-03-11 07:01:31,729 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 24/142 +[2025-03-11 07:01:31,763 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 25/142 +[2025-03-11 07:01:31,791 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 26/142 +[2025-03-11 07:01:31,829 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 27/142 +[2025-03-11 07:01:31,854 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 28/142 +[2025-03-11 07:01:31,878 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 29/142 +[2025-03-11 07:01:31,900 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 30/142 +[2025-03-11 07:01:31,924 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 31/142 +[2025-03-11 07:01:31,951 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 32/142 +[2025-03-11 07:01:31,977 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 33/142 +[2025-03-11 07:01:32,008 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 34/142 +[2025-03-11 07:01:32,037 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 35/142 +[2025-03-11 07:01:32,066 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 36/142 +[2025-03-11 07:01:32,094 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 37/142 +[2025-03-11 07:01:32,119 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 38/142 +[2025-03-11 07:01:32,143 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 39/142 +[2025-03-11 07:01:32,167 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 40/142 +[2025-03-11 07:01:32,190 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 41/142 +[2025-03-11 07:01:32,214 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 42/142 +[2025-03-11 07:01:32,237 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 43/142 +[2025-03-11 07:01:32,260 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 44/142 +[2025-03-11 07:01:32,285 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 45/142 +[2025-03-11 07:01:32,310 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 46/142 +[2025-03-11 07:01:32,334 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 47/142 +[2025-03-11 07:01:32,366 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 48/142 +[2025-03-11 07:01:32,398 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 49/142 +[2025-03-11 07:01:32,427 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 50/142 +[2025-03-11 07:01:32,464 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 51/142 +[2025-03-11 07:01:32,488 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 52/142 +[2025-03-11 07:01:32,514 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 53/142 +[2025-03-11 07:01:32,539 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 54/142 +[2025-03-11 07:01:32,563 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 55/142 +[2025-03-11 07:01:32,587 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 56/142 +[2025-03-11 07:01:32,614 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 57/142 +[2025-03-11 07:01:32,639 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 58/142 +[2025-03-11 07:01:32,666 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 59/142 +[2025-03-11 07:01:32,694 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 60/142 +[2025-03-11 07:01:32,722 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 61/142 +[2025-03-11 07:01:32,752 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 62/142 +[2025-03-11 07:01:32,790 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 63/142 +[2025-03-11 07:01:32,834 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 64/142 +[2025-03-11 07:01:32,878 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 65/142 +[2025-03-11 07:01:32,922 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 66/142 +[2025-03-11 07:01:32,966 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 67/142 +[2025-03-11 07:01:33,009 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 68/142 +[2025-03-11 07:01:33,055 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 69/142 +[2025-03-11 07:01:33,096 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 70/142 +[2025-03-11 07:01:33,136 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 71/142 +[2025-03-11 07:01:33,169 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 72/142 +[2025-03-11 07:01:33,198 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 73/142 +[2025-03-11 07:01:33,230 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 74/142 +[2025-03-11 07:01:33,264 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 75/142 +[2025-03-11 07:01:33,289 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 76/142 +[2025-03-11 07:01:33,313 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 77/142 +[2025-03-11 07:01:33,338 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 78/142 +[2025-03-11 07:01:33,362 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 79/142 +[2025-03-11 07:01:33,402 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 80/142 +[2025-03-11 07:01:33,439 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 81/142 +[2025-03-11 07:01:33,476 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 82/142 +[2025-03-11 07:01:33,510 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 83/142 +[2025-03-11 07:01:33,561 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 84/142 +[2025-03-11 07:01:33,599 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 85/142 +[2025-03-11 07:01:33,623 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 86/142 +[2025-03-11 07:01:33,646 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 87/142 +[2025-03-11 07:01:33,670 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 88/142 +[2025-03-11 07:01:33,698 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 89/142 +[2025-03-11 07:01:33,733 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 90/142 +[2025-03-11 07:01:33,761 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 91/142 +[2025-03-11 07:01:33,785 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 92/142 +[2025-03-11 07:01:33,809 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 93/142 +[2025-03-11 07:01:33,849 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 94/142 +[2025-03-11 07:01:33,890 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 95/142 +[2025-03-11 07:01:33,930 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 96/142 +[2025-03-11 07:01:33,954 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 97/142 +[2025-03-11 07:01:33,977 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 98/142 +[2025-03-11 07:01:34,001 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 99/142 +[2025-03-11 07:01:34,024 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 100/142 +[2025-03-11 07:01:34,047 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 101/142 +[2025-03-11 07:01:34,073 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 102/142 +[2025-03-11 07:01:34,114 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 103/142 +[2025-03-11 07:01:34,155 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 104/142 +[2025-03-11 07:01:34,193 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 105/142 +[2025-03-11 07:01:34,217 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 106/142 +[2025-03-11 07:01:34,241 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 107/142 +[2025-03-11 07:01:34,265 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 108/142 +[2025-03-11 07:01:34,291 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 109/142 +[2025-03-11 07:01:34,315 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 110/142 +[2025-03-11 07:01:34,339 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 111/142 +[2025-03-11 07:01:34,368 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 112/142 +[2025-03-11 07:01:34,413 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 113/142 +[2025-03-11 07:01:34,436 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 114/142 +[2025-03-11 07:01:34,460 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 115/142 +[2025-03-11 07:01:34,484 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 116/142 +[2025-03-11 07:01:34,509 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 117/142 +[2025-03-11 07:01:34,535 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 118/142 +[2025-03-11 07:01:34,561 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 119/142 +[2025-03-11 07:01:34,586 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 120/142 +[2025-03-11 07:01:34,611 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 121/142 +[2025-03-11 07:01:34,636 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 122/142 +[2025-03-11 07:01:34,663 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 123/142 +[2025-03-11 07:01:34,688 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 124/142 +[2025-03-11 07:01:34,713 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 125/142 +[2025-03-11 07:01:34,738 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 126/142 +[2025-03-11 07:01:34,772 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 127/142 +[2025-03-11 07:01:34,796 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 128/142 +[2025-03-11 07:01:34,820 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 129/142 +[2025-03-11 07:01:34,843 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 130/142 +[2025-03-11 07:01:34,877 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 131/142 +[2025-03-11 07:01:34,908 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 132/142 +[2025-03-11 07:01:34,933 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 133/142 +[2025-03-11 07:01:34,959 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 134/142 +[2025-03-11 07:01:34,982 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 135/142 +[2025-03-11 07:01:35,005 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 136/142 +[2025-03-11 07:01:35,030 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 137/142 +[2025-03-11 07:01:35,055 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 138/142 +[2025-03-11 07:01:35,080 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 139/142 +[2025-03-11 07:01:35,105 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 140/142 +[2025-03-11 07:01:35,131 INFO test.py line 201 2389709] Test: 70/78-scene0607_01, Batch: 141/142 +[2025-03-11 07:01:35,223 INFO test.py line 291 2389709] Test: scene0607_01 [70/78]-78387 Batch 4.190 (4.566) Accuracy 0.9015 (0.3925) mIoU 0.4684 (0.3112) +[2025-03-11 07:01:35,307 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 0/130 +[2025-03-11 07:01:35,342 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 1/130 +[2025-03-11 07:01:35,378 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 2/130 +[2025-03-11 07:01:35,414 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 3/130 +[2025-03-11 07:01:35,450 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 4/130 +[2025-03-11 07:01:35,485 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 5/130 +[2025-03-11 07:01:35,526 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 6/130 +[2025-03-11 07:01:35,563 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 7/130 +[2025-03-11 07:01:35,598 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 8/130 +[2025-03-11 07:01:35,635 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 9/130 +[2025-03-11 07:01:35,672 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 10/130 +[2025-03-11 07:01:35,707 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 11/130 +[2025-03-11 07:01:35,743 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 12/130 +[2025-03-11 07:01:35,781 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 13/130 +[2025-03-11 07:01:35,818 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 14/130 +[2025-03-11 07:01:35,854 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 15/130 +[2025-03-11 07:01:35,890 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 16/130 +[2025-03-11 07:01:35,926 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 17/130 +[2025-03-11 07:01:35,963 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 18/130 +[2025-03-11 07:01:35,998 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 19/130 +[2025-03-11 07:01:36,034 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 20/130 +[2025-03-11 07:01:36,070 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 21/130 +[2025-03-11 07:01:36,106 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 22/130 +[2025-03-11 07:01:36,141 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 23/130 +[2025-03-11 07:01:36,181 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 24/130 +[2025-03-11 07:01:36,217 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 25/130 +[2025-03-11 07:01:36,252 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 26/130 +[2025-03-11 07:01:36,290 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 27/130 +[2025-03-11 07:01:36,326 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 28/130 +[2025-03-11 07:01:36,361 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 29/130 +[2025-03-11 07:01:36,403 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 30/130 +[2025-03-11 07:01:36,448 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 31/130 +[2025-03-11 07:01:36,500 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 32/130 +[2025-03-11 07:01:36,558 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 33/130 +[2025-03-11 07:01:36,623 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 34/130 +[2025-03-11 07:01:36,679 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 35/130 +[2025-03-11 07:01:36,733 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 36/130 +[2025-03-11 07:01:36,779 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 37/130 +[2025-03-11 07:01:36,820 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 38/130 +[2025-03-11 07:01:36,860 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 39/130 +[2025-03-11 07:01:36,900 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 40/130 +[2025-03-11 07:01:36,940 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 41/130 +[2025-03-11 07:01:36,983 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 42/130 +[2025-03-11 07:01:37,019 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 43/130 +[2025-03-11 07:01:37,058 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 44/130 +[2025-03-11 07:01:37,093 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 45/130 +[2025-03-11 07:01:37,151 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 46/130 +[2025-03-11 07:01:37,187 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 47/130 +[2025-03-11 07:01:37,223 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 48/130 +[2025-03-11 07:01:37,261 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 49/130 +[2025-03-11 07:01:37,295 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 50/130 +[2025-03-11 07:01:37,330 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 51/130 +[2025-03-11 07:01:37,364 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 52/130 +[2025-03-11 07:01:37,398 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 53/130 +[2025-03-11 07:01:37,432 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 54/130 +[2025-03-11 07:01:37,466 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 55/130 +[2025-03-11 07:01:37,501 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 56/130 +[2025-03-11 07:01:37,545 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 57/130 +[2025-03-11 07:01:37,579 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 58/130 +[2025-03-11 07:01:37,615 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 59/130 +[2025-03-11 07:01:37,648 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 60/130 +[2025-03-11 07:01:37,682 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 61/130 +[2025-03-11 07:01:37,717 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 62/130 +[2025-03-11 07:01:37,751 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 63/130 +[2025-03-11 07:01:37,785 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 64/130 +[2025-03-11 07:01:37,819 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 65/130 +[2025-03-11 07:01:37,853 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 66/130 +[2025-03-11 07:01:37,888 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 67/130 +[2025-03-11 07:01:37,922 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 68/130 +[2025-03-11 07:01:37,956 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 69/130 +[2025-03-11 07:01:37,991 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 70/130 +[2025-03-11 07:01:38,026 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 71/130 +[2025-03-11 07:01:38,060 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 72/130 +[2025-03-11 07:01:38,095 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 73/130 +[2025-03-11 07:01:38,139 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 74/130 +[2025-03-11 07:01:38,173 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 75/130 +[2025-03-11 07:01:38,219 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 76/130 +[2025-03-11 07:01:38,284 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 77/130 +[2025-03-11 07:01:38,323 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 78/130 +[2025-03-11 07:01:38,357 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 79/130 +[2025-03-11 07:01:38,391 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 80/130 +[2025-03-11 07:01:38,425 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 81/130 +[2025-03-11 07:01:38,459 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 82/130 +[2025-03-11 07:01:38,494 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 83/130 +[2025-03-11 07:01:38,544 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 84/130 +[2025-03-11 07:01:38,592 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 85/130 +[2025-03-11 07:01:38,628 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 86/130 +[2025-03-11 07:01:38,664 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 87/130 +[2025-03-11 07:01:38,700 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 88/130 +[2025-03-11 07:01:38,737 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 89/130 +[2025-03-11 07:01:38,785 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 90/130 +[2025-03-11 07:01:38,829 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 91/130 +[2025-03-11 07:01:38,865 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 92/130 +[2025-03-11 07:01:38,901 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 93/130 +[2025-03-11 07:01:38,938 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 94/130 +[2025-03-11 07:01:38,973 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 95/130 +[2025-03-11 07:01:39,014 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 96/130 +[2025-03-11 07:01:39,051 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 97/130 +[2025-03-11 07:01:39,088 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 98/130 +[2025-03-11 07:01:39,125 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 99/130 +[2025-03-11 07:01:39,160 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 100/130 +[2025-03-11 07:01:39,196 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 101/130 +[2025-03-11 07:01:39,233 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 102/130 +[2025-03-11 07:01:39,269 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 103/130 +[2025-03-11 07:01:39,306 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 104/130 +[2025-03-11 07:01:39,345 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 105/130 +[2025-03-11 07:01:39,381 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 106/130 +[2025-03-11 07:01:39,418 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 107/130 +[2025-03-11 07:01:39,454 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 108/130 +[2025-03-11 07:01:39,492 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 109/130 +[2025-03-11 07:01:39,528 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 110/130 +[2025-03-11 07:01:39,565 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 111/130 +[2025-03-11 07:01:39,601 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 112/130 +[2025-03-11 07:01:39,639 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 113/130 +[2025-03-11 07:01:39,676 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 114/130 +[2025-03-11 07:01:39,712 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 115/130 +[2025-03-11 07:01:39,748 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 116/130 +[2025-03-11 07:01:39,783 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 117/130 +[2025-03-11 07:01:39,818 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 118/130 +[2025-03-11 07:01:39,853 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 119/130 +[2025-03-11 07:01:39,887 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 120/130 +[2025-03-11 07:01:39,922 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 121/130 +[2025-03-11 07:01:39,957 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 122/130 +[2025-03-11 07:01:39,991 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 123/130 +[2025-03-11 07:01:40,027 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 124/130 +[2025-03-11 07:01:40,061 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 125/130 +[2025-03-11 07:01:40,096 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 126/130 +[2025-03-11 07:01:40,131 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 127/130 +[2025-03-11 07:01:40,168 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 128/130 +[2025-03-11 07:01:40,202 INFO test.py line 201 2389709] Test: 71/78-scene0203_01, Batch: 129/130 +[2025-03-11 07:01:40,437 INFO test.py line 291 2389709] Test: scene0203_01 [71/78]-206210 Batch 5.214 (4.576) Accuracy 0.6222 (0.3921) mIoU 0.2350 (0.3104) +[2025-03-11 07:01:40,468 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 0/136 +[2025-03-11 07:01:40,490 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 1/136 +[2025-03-11 07:01:40,512 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 2/136 +[2025-03-11 07:01:40,534 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 3/136 +[2025-03-11 07:01:40,556 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 4/136 +[2025-03-11 07:01:40,578 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 5/136 +[2025-03-11 07:01:40,599 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 6/136 +[2025-03-11 07:01:40,621 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 7/136 +[2025-03-11 07:01:40,643 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 8/136 +[2025-03-11 07:01:40,664 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 9/136 +[2025-03-11 07:01:40,686 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 10/136 +[2025-03-11 07:01:40,707 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 11/136 +[2025-03-11 07:01:40,729 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 12/136 +[2025-03-11 07:01:40,750 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 13/136 +[2025-03-11 07:01:40,772 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 14/136 +[2025-03-11 07:01:40,793 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 15/136 +[2025-03-11 07:01:40,816 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 16/136 +[2025-03-11 07:01:40,837 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 17/136 +[2025-03-11 07:01:40,858 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 18/136 +[2025-03-11 07:01:40,880 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 19/136 +[2025-03-11 07:01:40,901 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 20/136 +[2025-03-11 07:01:40,922 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 21/136 +[2025-03-11 07:01:40,943 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 22/136 +[2025-03-11 07:01:40,964 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 23/136 +[2025-03-11 07:01:40,986 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 24/136 +[2025-03-11 07:01:41,007 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 25/136 +[2025-03-11 07:01:41,028 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 26/136 +[2025-03-11 07:01:41,050 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 27/136 +[2025-03-11 07:01:41,071 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 28/136 +[2025-03-11 07:01:41,093 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 29/136 +[2025-03-11 07:01:41,114 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 30/136 +[2025-03-11 07:01:41,136 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 31/136 +[2025-03-11 07:01:41,158 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 32/136 +[2025-03-11 07:01:41,179 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 33/136 +[2025-03-11 07:01:41,201 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 34/136 +[2025-03-11 07:01:41,222 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 35/136 +[2025-03-11 07:01:41,244 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 36/136 +[2025-03-11 07:01:41,269 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 37/136 +[2025-03-11 07:01:41,291 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 38/136 +[2025-03-11 07:01:41,318 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 39/136 +[2025-03-11 07:01:41,339 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 40/136 +[2025-03-11 07:01:41,366 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 41/136 +[2025-03-11 07:01:41,388 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 42/136 +[2025-03-11 07:01:41,409 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 43/136 +[2025-03-11 07:01:41,439 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 44/136 +[2025-03-11 07:01:41,460 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 45/136 +[2025-03-11 07:01:41,484 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 46/136 +[2025-03-11 07:01:41,505 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 47/136 +[2025-03-11 07:01:41,527 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 48/136 +[2025-03-11 07:01:41,548 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 49/136 +[2025-03-11 07:01:41,570 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 50/136 +[2025-03-11 07:01:41,592 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 51/136 +[2025-03-11 07:01:41,613 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 52/136 +[2025-03-11 07:01:41,635 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 53/136 +[2025-03-11 07:01:41,657 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 54/136 +[2025-03-11 07:01:41,678 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 55/136 +[2025-03-11 07:01:41,700 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 56/136 +[2025-03-11 07:01:41,722 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 57/136 +[2025-03-11 07:01:41,743 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 58/136 +[2025-03-11 07:01:41,765 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 59/136 +[2025-03-11 07:01:41,787 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 60/136 +[2025-03-11 07:01:41,808 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 61/136 +[2025-03-11 07:01:41,830 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 62/136 +[2025-03-11 07:01:41,851 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 63/136 +[2025-03-11 07:01:41,873 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 64/136 +[2025-03-11 07:01:41,894 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 65/136 +[2025-03-11 07:01:41,915 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 66/136 +[2025-03-11 07:01:41,946 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 67/136 +[2025-03-11 07:01:41,967 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 68/136 +[2025-03-11 07:01:41,989 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 69/136 +[2025-03-11 07:01:42,011 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 70/136 +[2025-03-11 07:01:42,032 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 71/136 +[2025-03-11 07:01:42,053 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 72/136 +[2025-03-11 07:01:42,076 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 73/136 +[2025-03-11 07:01:42,099 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 74/136 +[2025-03-11 07:01:42,121 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 75/136 +[2025-03-11 07:01:42,141 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 76/136 +[2025-03-11 07:01:42,162 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 77/136 +[2025-03-11 07:01:42,183 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 78/136 +[2025-03-11 07:01:42,206 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 79/136 +[2025-03-11 07:01:42,228 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 80/136 +[2025-03-11 07:01:42,250 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 81/136 +[2025-03-11 07:01:42,289 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 82/136 +[2025-03-11 07:01:42,310 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 83/136 +[2025-03-11 07:01:42,350 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 84/136 +[2025-03-11 07:01:42,372 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 85/136 +[2025-03-11 07:01:42,393 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 86/136 +[2025-03-11 07:01:42,415 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 87/136 +[2025-03-11 07:01:42,437 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 88/136 +[2025-03-11 07:01:42,458 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 89/136 +[2025-03-11 07:01:42,481 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 90/136 +[2025-03-11 07:01:42,503 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 91/136 +[2025-03-11 07:01:42,526 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 92/136 +[2025-03-11 07:01:42,548 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 93/136 +[2025-03-11 07:01:42,570 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 94/136 +[2025-03-11 07:01:42,591 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 95/136 +[2025-03-11 07:01:42,631 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 96/136 +[2025-03-11 07:01:42,655 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 97/136 +[2025-03-11 07:01:42,675 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 98/136 +[2025-03-11 07:01:42,696 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 99/136 +[2025-03-11 07:01:42,717 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 100/136 +[2025-03-11 07:01:42,737 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 101/136 +[2025-03-11 07:01:42,759 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 102/136 +[2025-03-11 07:01:42,780 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 103/136 +[2025-03-11 07:01:42,800 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 104/136 +[2025-03-11 07:01:42,825 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 105/136 +[2025-03-11 07:01:42,846 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 106/136 +[2025-03-11 07:01:42,867 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 107/136 +[2025-03-11 07:01:42,887 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 108/136 +[2025-03-11 07:01:42,907 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 109/136 +[2025-03-11 07:01:42,930 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 110/136 +[2025-03-11 07:01:42,951 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 111/136 +[2025-03-11 07:01:42,972 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 112/136 +[2025-03-11 07:01:42,993 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 113/136 +[2025-03-11 07:01:43,013 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 114/136 +[2025-03-11 07:01:43,035 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 115/136 +[2025-03-11 07:01:43,058 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 116/136 +[2025-03-11 07:01:43,081 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 117/136 +[2025-03-11 07:01:43,103 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 118/136 +[2025-03-11 07:01:43,124 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 119/136 +[2025-03-11 07:01:43,146 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 120/136 +[2025-03-11 07:01:43,168 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 121/136 +[2025-03-11 07:01:43,191 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 122/136 +[2025-03-11 07:01:43,212 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 123/136 +[2025-03-11 07:01:43,240 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 124/136 +[2025-03-11 07:01:43,274 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 125/136 +[2025-03-11 07:01:43,306 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 126/136 +[2025-03-11 07:01:43,335 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 127/136 +[2025-03-11 07:01:43,376 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 128/136 +[2025-03-11 07:01:43,418 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 129/136 +[2025-03-11 07:01:43,459 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 130/136 +[2025-03-11 07:01:43,491 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 131/136 +[2025-03-11 07:01:43,535 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 132/136 +[2025-03-11 07:01:43,582 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 133/136 +[2025-03-11 07:01:43,621 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 134/136 +[2025-03-11 07:01:43,664 INFO test.py line 201 2389709] Test: 72/78-scene0684_01, Batch: 135/136 +[2025-03-11 07:01:43,711 INFO test.py line 291 2389709] Test: scene0684_01 [72/78]-39474 Batch 3.274 (4.557) Accuracy 0.7598 (0.3920) mIoU 0.2770 (0.3102) +[2025-03-11 07:01:43,764 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 0/117 +[2025-03-11 07:01:43,804 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 1/117 +[2025-03-11 07:01:43,833 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 2/117 +[2025-03-11 07:01:43,864 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 3/117 +[2025-03-11 07:01:43,903 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 4/117 +[2025-03-11 07:01:43,942 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 5/117 +[2025-03-11 07:01:43,990 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 6/117 +[2025-03-11 07:01:44,019 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 7/117 +[2025-03-11 07:01:44,045 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 8/117 +[2025-03-11 07:01:44,079 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 9/117 +[2025-03-11 07:01:44,106 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 10/117 +[2025-03-11 07:01:44,130 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 11/117 +[2025-03-11 07:01:44,156 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 12/117 +[2025-03-11 07:01:44,180 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 13/117 +[2025-03-11 07:01:44,204 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 14/117 +[2025-03-11 07:01:44,231 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 15/117 +[2025-03-11 07:01:44,256 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 16/117 +[2025-03-11 07:01:44,281 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 17/117 +[2025-03-11 07:01:44,306 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 18/117 +[2025-03-11 07:01:44,332 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 19/117 +[2025-03-11 07:01:44,356 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 20/117 +[2025-03-11 07:01:44,380 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 21/117 +[2025-03-11 07:01:44,405 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 22/117 +[2025-03-11 07:01:44,436 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 23/117 +[2025-03-11 07:01:44,464 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 24/117 +[2025-03-11 07:01:44,490 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 25/117 +[2025-03-11 07:01:44,523 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 26/117 +[2025-03-11 07:01:44,548 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 27/117 +[2025-03-11 07:01:44,574 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 28/117 +[2025-03-11 07:01:44,598 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 29/117 +[2025-03-11 07:01:44,622 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 30/117 +[2025-03-11 07:01:44,658 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 31/117 +[2025-03-11 07:01:44,682 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 32/117 +[2025-03-11 07:01:44,706 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 33/117 +[2025-03-11 07:01:44,730 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 34/117 +[2025-03-11 07:01:44,761 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 35/117 +[2025-03-11 07:01:44,786 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 36/117 +[2025-03-11 07:01:44,809 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 37/117 +[2025-03-11 07:01:44,833 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 38/117 +[2025-03-11 07:01:44,859 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 39/117 +[2025-03-11 07:01:44,883 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 40/117 +[2025-03-11 07:01:44,907 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 41/117 +[2025-03-11 07:01:44,932 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 42/117 +[2025-03-11 07:01:44,957 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 43/117 +[2025-03-11 07:01:44,981 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 44/117 +[2025-03-11 07:01:45,005 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 45/117 +[2025-03-11 07:01:45,032 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 46/117 +[2025-03-11 07:01:45,057 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 47/117 +[2025-03-11 07:01:45,081 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 48/117 +[2025-03-11 07:01:45,105 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 49/117 +[2025-03-11 07:01:45,128 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 50/117 +[2025-03-11 07:01:45,152 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 51/117 +[2025-03-11 07:01:45,175 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 52/117 +[2025-03-11 07:01:45,203 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 53/117 +[2025-03-11 07:01:45,226 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 54/117 +[2025-03-11 07:01:45,250 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 55/117 +[2025-03-11 07:01:45,272 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 56/117 +[2025-03-11 07:01:45,297 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 57/117 +[2025-03-11 07:01:45,320 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 58/117 +[2025-03-11 07:01:45,342 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 59/117 +[2025-03-11 07:01:45,366 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 60/117 +[2025-03-11 07:01:45,388 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 61/117 +[2025-03-11 07:01:45,412 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 62/117 +[2025-03-11 07:01:45,434 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 63/117 +[2025-03-11 07:01:45,458 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 64/117 +[2025-03-11 07:01:45,481 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 65/117 +[2025-03-11 07:01:45,505 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 66/117 +[2025-03-11 07:01:45,528 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 67/117 +[2025-03-11 07:01:45,552 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 68/117 +[2025-03-11 07:01:45,575 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 69/117 +[2025-03-11 07:01:45,598 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 70/117 +[2025-03-11 07:01:45,622 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 71/117 +[2025-03-11 07:01:45,646 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 72/117 +[2025-03-11 07:01:45,670 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 73/117 +[2025-03-11 07:01:45,694 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 74/117 +[2025-03-11 07:01:45,720 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 75/117 +[2025-03-11 07:01:45,744 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 76/117 +[2025-03-11 07:01:45,769 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 77/117 +[2025-03-11 07:01:45,792 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 78/117 +[2025-03-11 07:01:45,819 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 79/117 +[2025-03-11 07:01:45,843 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 80/117 +[2025-03-11 07:01:45,868 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 81/117 +[2025-03-11 07:01:45,890 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 82/117 +[2025-03-11 07:01:45,914 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 83/117 +[2025-03-11 07:01:45,937 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 84/117 +[2025-03-11 07:01:45,962 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 85/117 +[2025-03-11 07:01:45,985 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 86/117 +[2025-03-11 07:01:46,008 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 87/117 +[2025-03-11 07:01:46,031 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 88/117 +[2025-03-11 07:01:46,054 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 89/117 +[2025-03-11 07:01:46,082 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 90/117 +[2025-03-11 07:01:46,105 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 91/117 +[2025-03-11 07:01:46,128 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 92/117 +[2025-03-11 07:01:46,151 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 93/117 +[2025-03-11 07:01:46,176 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 94/117 +[2025-03-11 07:01:46,199 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 95/117 +[2025-03-11 07:01:46,223 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 96/117 +[2025-03-11 07:01:46,246 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 97/117 +[2025-03-11 07:01:46,270 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 98/117 +[2025-03-11 07:01:46,292 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 99/117 +[2025-03-11 07:01:46,317 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 100/117 +[2025-03-11 07:01:46,340 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 101/117 +[2025-03-11 07:01:46,364 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 102/117 +[2025-03-11 07:01:46,388 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 103/117 +[2025-03-11 07:01:46,412 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 104/117 +[2025-03-11 07:01:46,436 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 105/117 +[2025-03-11 07:01:46,461 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 106/117 +[2025-03-11 07:01:46,484 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 107/117 +[2025-03-11 07:01:46,507 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 108/117 +[2025-03-11 07:01:46,530 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 109/117 +[2025-03-11 07:01:46,554 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 110/117 +[2025-03-11 07:01:46,577 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 111/117 +[2025-03-11 07:01:46,613 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 112/117 +[2025-03-11 07:01:46,635 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 113/117 +[2025-03-11 07:01:46,669 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 114/117 +[2025-03-11 07:01:46,704 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 115/117 +[2025-03-11 07:01:46,735 INFO test.py line 201 2389709] Test: 73/78-scene0686_02, Batch: 116/117 +[2025-03-11 07:01:46,845 INFO test.py line 291 2389709] Test: scene0686_02 [73/78]-84543 Batch 3.134 (4.538) Accuracy 0.8604 (0.3927) mIoU 0.6667 (0.3107) +[2025-03-11 07:01:46,927 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 0/147 +[2025-03-11 07:01:46,985 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 1/147 +[2025-03-11 07:01:47,023 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 2/147 +[2025-03-11 07:01:47,059 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 3/147 +[2025-03-11 07:01:47,099 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 4/147 +[2025-03-11 07:01:47,136 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 5/147 +[2025-03-11 07:01:47,197 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 6/147 +[2025-03-11 07:01:47,230 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 7/147 +[2025-03-11 07:01:47,264 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 8/147 +[2025-03-11 07:01:47,297 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 9/147 +[2025-03-11 07:01:47,331 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 10/147 +[2025-03-11 07:01:47,369 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 11/147 +[2025-03-11 07:01:47,404 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 12/147 +[2025-03-11 07:01:47,439 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 13/147 +[2025-03-11 07:01:47,472 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 14/147 +[2025-03-11 07:01:47,507 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 15/147 +[2025-03-11 07:01:47,549 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 16/147 +[2025-03-11 07:01:47,582 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 17/147 +[2025-03-11 07:01:47,615 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 18/147 +[2025-03-11 07:01:47,650 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 19/147 +[2025-03-11 07:01:47,683 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 20/147 +[2025-03-11 07:01:47,740 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 21/147 +[2025-03-11 07:01:47,799 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 22/147 +[2025-03-11 07:01:47,862 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 23/147 +[2025-03-11 07:01:47,907 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 24/147 +[2025-03-11 07:01:47,939 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 25/147 +[2025-03-11 07:01:47,978 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 26/147 +[2025-03-11 07:01:48,010 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 27/147 +[2025-03-11 07:01:48,042 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 28/147 +[2025-03-11 07:01:48,076 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 29/147 +[2025-03-11 07:01:48,109 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 30/147 +[2025-03-11 07:01:48,142 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 31/147 +[2025-03-11 07:01:48,174 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 32/147 +[2025-03-11 07:01:48,207 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 33/147 +[2025-03-11 07:01:48,239 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 34/147 +[2025-03-11 07:01:48,272 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 35/147 +[2025-03-11 07:01:48,304 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 36/147 +[2025-03-11 07:01:48,336 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 37/147 +[2025-03-11 07:01:48,403 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 38/147 +[2025-03-11 07:01:48,436 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 39/147 +[2025-03-11 07:01:48,469 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 40/147 +[2025-03-11 07:01:48,505 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 41/147 +[2025-03-11 07:01:48,547 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 42/147 +[2025-03-11 07:01:48,581 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 43/147 +[2025-03-11 07:01:48,617 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 44/147 +[2025-03-11 07:01:48,648 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 45/147 +[2025-03-11 07:01:48,679 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 46/147 +[2025-03-11 07:01:48,712 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 47/147 +[2025-03-11 07:01:48,743 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 48/147 +[2025-03-11 07:01:48,775 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 49/147 +[2025-03-11 07:01:48,812 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 50/147 +[2025-03-11 07:01:48,849 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 51/147 +[2025-03-11 07:01:48,885 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 52/147 +[2025-03-11 07:01:48,926 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 53/147 +[2025-03-11 07:01:48,961 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 54/147 +[2025-03-11 07:01:48,997 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 55/147 +[2025-03-11 07:01:49,030 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 56/147 +[2025-03-11 07:01:49,079 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 57/147 +[2025-03-11 07:01:49,115 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 58/147 +[2025-03-11 07:01:49,151 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 59/147 +[2025-03-11 07:01:49,185 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 60/147 +[2025-03-11 07:01:49,229 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 61/147 +[2025-03-11 07:01:49,261 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 62/147 +[2025-03-11 07:01:49,292 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 63/147 +[2025-03-11 07:01:49,325 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 64/147 +[2025-03-11 07:01:49,356 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 65/147 +[2025-03-11 07:01:49,416 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 66/147 +[2025-03-11 07:01:49,448 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 67/147 +[2025-03-11 07:01:49,479 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 68/147 +[2025-03-11 07:01:49,511 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 69/147 +[2025-03-11 07:01:49,545 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 70/147 +[2025-03-11 07:01:49,577 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 71/147 +[2025-03-11 07:01:49,608 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 72/147 +[2025-03-11 07:01:49,640 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 73/147 +[2025-03-11 07:01:49,671 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 74/147 +[2025-03-11 07:01:49,703 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 75/147 +[2025-03-11 07:01:49,736 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 76/147 +[2025-03-11 07:01:49,766 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 77/147 +[2025-03-11 07:01:49,796 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 78/147 +[2025-03-11 07:01:49,828 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 79/147 +[2025-03-11 07:01:49,860 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 80/147 +[2025-03-11 07:01:49,891 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 81/147 +[2025-03-11 07:01:49,923 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 82/147 +[2025-03-11 07:01:49,954 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 83/147 +[2025-03-11 07:01:49,985 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 84/147 +[2025-03-11 07:01:50,017 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 85/147 +[2025-03-11 07:01:50,050 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 86/147 +[2025-03-11 07:01:50,081 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 87/147 +[2025-03-11 07:01:50,116 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 88/147 +[2025-03-11 07:01:50,149 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 89/147 +[2025-03-11 07:01:50,182 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 90/147 +[2025-03-11 07:01:50,215 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 91/147 +[2025-03-11 07:01:50,247 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 92/147 +[2025-03-11 07:01:50,279 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 93/147 +[2025-03-11 07:01:50,311 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 94/147 +[2025-03-11 07:01:50,344 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 95/147 +[2025-03-11 07:01:50,376 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 96/147 +[2025-03-11 07:01:50,411 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 97/147 +[2025-03-11 07:01:50,443 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 98/147 +[2025-03-11 07:01:50,475 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 99/147 +[2025-03-11 07:01:50,515 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 100/147 +[2025-03-11 07:01:50,548 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 101/147 +[2025-03-11 07:01:50,582 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 102/147 +[2025-03-11 07:01:50,616 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 103/147 +[2025-03-11 07:01:50,650 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 104/147 +[2025-03-11 07:01:50,684 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 105/147 +[2025-03-11 07:01:50,716 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 106/147 +[2025-03-11 07:01:50,748 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 107/147 +[2025-03-11 07:01:50,782 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 108/147 +[2025-03-11 07:01:50,814 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 109/147 +[2025-03-11 07:01:50,849 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 110/147 +[2025-03-11 07:01:50,882 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 111/147 +[2025-03-11 07:01:50,918 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 112/147 +[2025-03-11 07:01:50,950 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 113/147 +[2025-03-11 07:01:50,983 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 114/147 +[2025-03-11 07:01:51,016 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 115/147 +[2025-03-11 07:01:51,050 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 116/147 +[2025-03-11 07:01:51,088 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 117/147 +[2025-03-11 07:01:51,123 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 118/147 +[2025-03-11 07:01:51,167 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 119/147 +[2025-03-11 07:01:51,201 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 120/147 +[2025-03-11 07:01:51,240 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 121/147 +[2025-03-11 07:01:51,274 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 122/147 +[2025-03-11 07:01:51,308 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 123/147 +[2025-03-11 07:01:51,346 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 124/147 +[2025-03-11 07:01:51,380 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 125/147 +[2025-03-11 07:01:51,413 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 126/147 +[2025-03-11 07:01:51,449 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 127/147 +[2025-03-11 07:01:51,483 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 128/147 +[2025-03-11 07:01:51,518 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 129/147 +[2025-03-11 07:01:51,551 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 130/147 +[2025-03-11 07:01:51,586 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 131/147 +[2025-03-11 07:01:51,620 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 132/147 +[2025-03-11 07:01:51,654 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 133/147 +[2025-03-11 07:01:51,689 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 134/147 +[2025-03-11 07:01:51,724 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 135/147 +[2025-03-11 07:01:51,759 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 136/147 +[2025-03-11 07:01:51,791 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 137/147 +[2025-03-11 07:01:51,824 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 138/147 +[2025-03-11 07:01:51,856 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 139/147 +[2025-03-11 07:01:51,888 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 140/147 +[2025-03-11 07:01:51,942 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 141/147 +[2025-03-11 07:01:51,980 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 142/147 +[2025-03-11 07:01:52,011 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 143/147 +[2025-03-11 07:01:52,042 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 144/147 +[2025-03-11 07:01:52,073 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 145/147 +[2025-03-11 07:01:52,105 INFO test.py line 201 2389709] Test: 74/78-scene0697_02, Batch: 146/147 +[2025-03-11 07:01:52,308 INFO test.py line 291 2389709] Test: scene0697_02 [74/78]-166855 Batch 5.462 (4.550) Accuracy 0.7242 (0.3931) mIoU 0.2688 (0.3112) +[2025-03-11 07:01:52,384 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 0/130 +[2025-03-11 07:01:52,421 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 1/130 +[2025-03-11 07:01:52,464 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 2/130 +[2025-03-11 07:01:52,496 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 3/130 +[2025-03-11 07:01:52,528 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 4/130 +[2025-03-11 07:01:52,563 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 5/130 +[2025-03-11 07:01:52,598 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 6/130 +[2025-03-11 07:01:52,635 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 7/130 +[2025-03-11 07:01:52,670 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 8/130 +[2025-03-11 07:01:52,705 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 9/130 +[2025-03-11 07:01:52,739 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 10/130 +[2025-03-11 07:01:52,775 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 11/130 +[2025-03-11 07:01:52,810 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 12/130 +[2025-03-11 07:01:52,847 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 13/130 +[2025-03-11 07:01:52,882 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 14/130 +[2025-03-11 07:01:52,919 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 15/130 +[2025-03-11 07:01:52,953 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 16/130 +[2025-03-11 07:01:52,989 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 17/130 +[2025-03-11 07:01:53,025 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 18/130 +[2025-03-11 07:01:53,059 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 19/130 +[2025-03-11 07:01:53,094 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 20/130 +[2025-03-11 07:01:53,129 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 21/130 +[2025-03-11 07:01:53,163 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 22/130 +[2025-03-11 07:01:53,198 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 23/130 +[2025-03-11 07:01:53,234 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 24/130 +[2025-03-11 07:01:53,269 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 25/130 +[2025-03-11 07:01:53,304 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 26/130 +[2025-03-11 07:01:53,338 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 27/130 +[2025-03-11 07:01:53,373 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 28/130 +[2025-03-11 07:01:53,409 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 29/130 +[2025-03-11 07:01:53,443 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 30/130 +[2025-03-11 07:01:53,479 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 31/130 +[2025-03-11 07:01:53,516 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 32/130 +[2025-03-11 07:01:53,551 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 33/130 +[2025-03-11 07:01:53,587 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 34/130 +[2025-03-11 07:01:53,624 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 35/130 +[2025-03-11 07:01:53,660 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 36/130 +[2025-03-11 07:01:53,697 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 37/130 +[2025-03-11 07:01:53,733 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 38/130 +[2025-03-11 07:01:53,768 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 39/130 +[2025-03-11 07:01:53,802 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 40/130 +[2025-03-11 07:01:53,838 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 41/130 +[2025-03-11 07:01:53,872 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 42/130 +[2025-03-11 07:01:53,952 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 43/130 +[2025-03-11 07:01:54,005 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 44/130 +[2025-03-11 07:01:54,039 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 45/130 +[2025-03-11 07:01:54,072 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 46/130 +[2025-03-11 07:01:54,111 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 47/130 +[2025-03-11 07:01:54,145 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 48/130 +[2025-03-11 07:01:54,180 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 49/130 +[2025-03-11 07:01:54,215 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 50/130 +[2025-03-11 07:01:54,254 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 51/130 +[2025-03-11 07:01:54,293 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 52/130 +[2025-03-11 07:01:54,327 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 53/130 +[2025-03-11 07:01:54,361 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 54/130 +[2025-03-11 07:01:54,396 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 55/130 +[2025-03-11 07:01:54,430 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 56/130 +[2025-03-11 07:01:54,464 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 57/130 +[2025-03-11 07:01:54,500 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 58/130 +[2025-03-11 07:01:54,535 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 59/130 +[2025-03-11 07:01:54,569 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 60/130 +[2025-03-11 07:01:54,604 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 61/130 +[2025-03-11 07:01:54,638 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 62/130 +[2025-03-11 07:01:54,672 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 63/130 +[2025-03-11 07:01:54,706 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 64/130 +[2025-03-11 07:01:54,740 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 65/130 +[2025-03-11 07:01:54,774 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 66/130 +[2025-03-11 07:01:54,820 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 67/130 +[2025-03-11 07:01:54,852 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 68/130 +[2025-03-11 07:01:54,883 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 69/130 +[2025-03-11 07:01:54,918 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 70/130 +[2025-03-11 07:01:54,952 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 71/130 +[2025-03-11 07:01:54,984 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 72/130 +[2025-03-11 07:01:55,019 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 73/130 +[2025-03-11 07:01:55,054 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 74/130 +[2025-03-11 07:01:55,087 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 75/130 +[2025-03-11 07:01:55,125 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 76/130 +[2025-03-11 07:01:55,165 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 77/130 +[2025-03-11 07:01:55,205 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 78/130 +[2025-03-11 07:01:55,246 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 79/130 +[2025-03-11 07:01:55,288 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 80/130 +[2025-03-11 07:01:55,329 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 81/130 +[2025-03-11 07:01:55,370 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 82/130 +[2025-03-11 07:01:55,411 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 83/130 +[2025-03-11 07:01:55,453 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 84/130 +[2025-03-11 07:01:55,498 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 85/130 +[2025-03-11 07:01:55,540 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 86/130 +[2025-03-11 07:01:55,582 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 87/130 +[2025-03-11 07:01:55,623 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 88/130 +[2025-03-11 07:01:55,679 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 89/130 +[2025-03-11 07:01:55,727 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 90/130 +[2025-03-11 07:01:55,767 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 91/130 +[2025-03-11 07:01:55,813 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 92/130 +[2025-03-11 07:01:55,862 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 93/130 +[2025-03-11 07:01:55,904 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 94/130 +[2025-03-11 07:01:55,945 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 95/130 +[2025-03-11 07:01:55,987 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 96/130 +[2025-03-11 07:01:56,026 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 97/130 +[2025-03-11 07:01:56,070 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 98/130 +[2025-03-11 07:01:56,113 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 99/130 +[2025-03-11 07:01:56,158 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 100/130 +[2025-03-11 07:01:56,214 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 101/130 +[2025-03-11 07:01:56,268 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 102/130 +[2025-03-11 07:01:56,323 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 103/130 +[2025-03-11 07:01:56,371 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 104/130 +[2025-03-11 07:01:56,418 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 105/130 +[2025-03-11 07:01:56,462 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 106/130 +[2025-03-11 07:01:56,507 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 107/130 +[2025-03-11 07:01:56,550 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 108/130 +[2025-03-11 07:01:56,594 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 109/130 +[2025-03-11 07:01:56,648 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 110/130 +[2025-03-11 07:01:56,696 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 111/130 +[2025-03-11 07:01:56,741 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 112/130 +[2025-03-11 07:01:56,779 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 113/130 +[2025-03-11 07:01:56,816 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 114/130 +[2025-03-11 07:01:56,855 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 115/130 +[2025-03-11 07:01:56,893 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 116/130 +[2025-03-11 07:01:56,929 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 117/130 +[2025-03-11 07:01:56,967 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 118/130 +[2025-03-11 07:01:57,006 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 119/130 +[2025-03-11 07:01:57,042 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 120/130 +[2025-03-11 07:01:57,079 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 121/130 +[2025-03-11 07:01:57,115 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 122/130 +[2025-03-11 07:01:57,155 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 123/130 +[2025-03-11 07:01:57,192 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 124/130 +[2025-03-11 07:01:57,229 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 125/130 +[2025-03-11 07:01:57,267 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 126/130 +[2025-03-11 07:01:57,305 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 127/130 +[2025-03-11 07:01:57,342 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 128/130 +[2025-03-11 07:01:57,382 INFO test.py line 201 2389709] Test: 75/78-scene0081_01, Batch: 129/130 +[2025-03-11 07:01:57,669 INFO test.py line 291 2389709] Test: scene0081_01 [75/78]-179955 Batch 5.360 (4.561) Accuracy 0.8343 (0.3921) mIoU 0.1376 (0.3106) +[2025-03-11 07:01:57,737 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 0/143 +[2025-03-11 07:01:57,771 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 1/143 +[2025-03-11 07:01:57,807 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 2/143 +[2025-03-11 07:01:57,840 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 3/143 +[2025-03-11 07:01:57,875 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 4/143 +[2025-03-11 07:01:57,909 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 5/143 +[2025-03-11 07:01:57,944 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 6/143 +[2025-03-11 07:01:57,979 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 7/143 +[2025-03-11 07:01:58,013 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 8/143 +[2025-03-11 07:01:58,047 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 9/143 +[2025-03-11 07:01:58,081 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 10/143 +[2025-03-11 07:01:58,116 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 11/143 +[2025-03-11 07:01:58,153 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 12/143 +[2025-03-11 07:01:58,184 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 13/143 +[2025-03-11 07:01:58,217 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 14/143 +[2025-03-11 07:01:58,250 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 15/143 +[2025-03-11 07:01:58,284 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 16/143 +[2025-03-11 07:01:58,318 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 17/143 +[2025-03-11 07:01:58,352 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 18/143 +[2025-03-11 07:01:58,384 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 19/143 +[2025-03-11 07:01:58,415 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 20/143 +[2025-03-11 07:01:58,448 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 21/143 +[2025-03-11 07:01:58,482 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 22/143 +[2025-03-11 07:01:58,516 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 23/143 +[2025-03-11 07:01:58,549 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 24/143 +[2025-03-11 07:01:58,583 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 25/143 +[2025-03-11 07:01:58,618 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 26/143 +[2025-03-11 07:01:58,652 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 27/143 +[2025-03-11 07:01:58,686 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 28/143 +[2025-03-11 07:01:58,717 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 29/143 +[2025-03-11 07:01:58,768 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 30/143 +[2025-03-11 07:01:58,804 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 31/143 +[2025-03-11 07:01:58,834 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 32/143 +[2025-03-11 07:01:58,868 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 33/143 +[2025-03-11 07:01:58,901 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 34/143 +[2025-03-11 07:01:58,932 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 35/143 +[2025-03-11 07:01:58,967 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 36/143 +[2025-03-11 07:01:59,002 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 37/143 +[2025-03-11 07:01:59,034 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 38/143 +[2025-03-11 07:01:59,068 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 39/143 +[2025-03-11 07:01:59,099 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 40/143 +[2025-03-11 07:01:59,131 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 41/143 +[2025-03-11 07:01:59,162 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 42/143 +[2025-03-11 07:01:59,195 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 43/143 +[2025-03-11 07:01:59,225 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 44/143 +[2025-03-11 07:01:59,257 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 45/143 +[2025-03-11 07:01:59,289 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 46/143 +[2025-03-11 07:01:59,321 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 47/143 +[2025-03-11 07:01:59,352 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 48/143 +[2025-03-11 07:01:59,412 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 49/143 +[2025-03-11 07:01:59,441 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 50/143 +[2025-03-11 07:01:59,473 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 51/143 +[2025-03-11 07:01:59,504 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 52/143 +[2025-03-11 07:01:59,535 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 53/143 +[2025-03-11 07:01:59,566 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 54/143 +[2025-03-11 07:01:59,599 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 55/143 +[2025-03-11 07:01:59,629 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 56/143 +[2025-03-11 07:01:59,661 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 57/143 +[2025-03-11 07:01:59,692 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 58/143 +[2025-03-11 07:01:59,724 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 59/143 +[2025-03-11 07:01:59,754 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 60/143 +[2025-03-11 07:01:59,788 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 61/143 +[2025-03-11 07:01:59,821 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 62/143 +[2025-03-11 07:01:59,853 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 63/143 +[2025-03-11 07:01:59,887 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 64/143 +[2025-03-11 07:01:59,922 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 65/143 +[2025-03-11 07:01:59,957 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 66/143 +[2025-03-11 07:01:59,999 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 67/143 +[2025-03-11 07:02:00,051 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 68/143 +[2025-03-11 07:02:00,104 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 69/143 +[2025-03-11 07:02:00,152 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 70/143 +[2025-03-11 07:02:00,194 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 71/143 +[2025-03-11 07:02:00,230 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 72/143 +[2025-03-11 07:02:00,267 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 73/143 +[2025-03-11 07:02:00,309 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 74/143 +[2025-03-11 07:02:00,349 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 75/143 +[2025-03-11 07:02:00,390 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 76/143 +[2025-03-11 07:02:00,428 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 77/143 +[2025-03-11 07:02:00,467 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 78/143 +[2025-03-11 07:02:00,505 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 79/143 +[2025-03-11 07:02:00,542 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 80/143 +[2025-03-11 07:02:00,580 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 81/143 +[2025-03-11 07:02:00,621 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 82/143 +[2025-03-11 07:02:00,663 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 83/143 +[2025-03-11 07:02:00,698 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 84/143 +[2025-03-11 07:02:00,726 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 85/143 +[2025-03-11 07:02:00,752 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 86/143 +[2025-03-11 07:02:00,778 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 87/143 +[2025-03-11 07:02:00,803 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 88/143 +[2025-03-11 07:02:00,828 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 89/143 +[2025-03-11 07:02:00,857 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 90/143 +[2025-03-11 07:02:00,883 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 91/143 +[2025-03-11 07:02:00,921 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 92/143 +[2025-03-11 07:02:00,961 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 93/143 +[2025-03-11 07:02:00,996 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 94/143 +[2025-03-11 07:02:01,034 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 95/143 +[2025-03-11 07:02:01,069 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 96/143 +[2025-03-11 07:02:01,104 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 97/143 +[2025-03-11 07:02:01,143 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 98/143 +[2025-03-11 07:02:01,177 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 99/143 +[2025-03-11 07:02:01,207 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 100/143 +[2025-03-11 07:02:01,239 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 101/143 +[2025-03-11 07:02:01,269 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 102/143 +[2025-03-11 07:02:01,299 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 103/143 +[2025-03-11 07:02:01,328 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 104/143 +[2025-03-11 07:02:01,370 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 105/143 +[2025-03-11 07:02:01,400 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 106/143 +[2025-03-11 07:02:01,430 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 107/143 +[2025-03-11 07:02:01,462 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 108/143 +[2025-03-11 07:02:01,491 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 109/143 +[2025-03-11 07:02:01,523 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 110/143 +[2025-03-11 07:02:01,552 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 111/143 +[2025-03-11 07:02:01,581 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 112/143 +[2025-03-11 07:02:01,609 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 113/143 +[2025-03-11 07:02:01,637 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 114/143 +[2025-03-11 07:02:01,666 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 115/143 +[2025-03-11 07:02:01,697 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 116/143 +[2025-03-11 07:02:01,726 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 117/143 +[2025-03-11 07:02:01,755 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 118/143 +[2025-03-11 07:02:01,784 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 119/143 +[2025-03-11 07:02:01,811 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 120/143 +[2025-03-11 07:02:01,839 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 121/143 +[2025-03-11 07:02:01,868 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 122/143 +[2025-03-11 07:02:01,899 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 123/143 +[2025-03-11 07:02:01,926 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 124/143 +[2025-03-11 07:02:01,954 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 125/143 +[2025-03-11 07:02:01,982 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 126/143 +[2025-03-11 07:02:02,010 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 127/143 +[2025-03-11 07:02:02,038 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 128/143 +[2025-03-11 07:02:02,065 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 129/143 +[2025-03-11 07:02:02,093 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 130/143 +[2025-03-11 07:02:02,123 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 131/143 +[2025-03-11 07:02:02,153 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 132/143 +[2025-03-11 07:02:02,182 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 133/143 +[2025-03-11 07:02:02,211 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 134/143 +[2025-03-11 07:02:02,240 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 135/143 +[2025-03-11 07:02:02,269 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 136/143 +[2025-03-11 07:02:02,297 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 137/143 +[2025-03-11 07:02:02,327 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 138/143 +[2025-03-11 07:02:02,356 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 139/143 +[2025-03-11 07:02:02,385 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 140/143 +[2025-03-11 07:02:02,424 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 141/143 +[2025-03-11 07:02:02,457 INFO test.py line 201 2389709] Test: 76/78-scene0689_00, Batch: 142/143 +[2025-03-11 07:02:02,627 INFO test.py line 291 2389709] Test: scene0689_00 [76/78]-122129 Batch 4.958 (4.566) Accuracy 0.8270 (0.3920) mIoU 0.6261 (0.3105) +[2025-03-11 07:02:02,721 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 0/130 +[2025-03-11 07:02:02,759 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 1/130 +[2025-03-11 07:02:02,799 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 2/130 +[2025-03-11 07:02:02,836 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 3/130 +[2025-03-11 07:02:02,872 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 4/130 +[2025-03-11 07:02:02,909 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 5/130 +[2025-03-11 07:02:02,946 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 6/130 +[2025-03-11 07:02:02,982 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 7/130 +[2025-03-11 07:02:03,020 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 8/130 +[2025-03-11 07:02:03,056 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 9/130 +[2025-03-11 07:02:03,093 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 10/130 +[2025-03-11 07:02:03,131 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 11/130 +[2025-03-11 07:02:03,167 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 12/130 +[2025-03-11 07:02:03,207 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 13/130 +[2025-03-11 07:02:03,248 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 14/130 +[2025-03-11 07:02:03,285 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 15/130 +[2025-03-11 07:02:03,322 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 16/130 +[2025-03-11 07:02:03,360 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 17/130 +[2025-03-11 07:02:03,397 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 18/130 +[2025-03-11 07:02:03,435 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 19/130 +[2025-03-11 07:02:03,473 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 20/130 +[2025-03-11 07:02:03,510 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 21/130 +[2025-03-11 07:02:03,547 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 22/130 +[2025-03-11 07:02:03,585 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 23/130 +[2025-03-11 07:02:03,622 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 24/130 +[2025-03-11 07:02:03,660 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 25/130 +[2025-03-11 07:02:03,699 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 26/130 +[2025-03-11 07:02:03,735 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 27/130 +[2025-03-11 07:02:03,772 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 28/130 +[2025-03-11 07:02:03,810 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 29/130 +[2025-03-11 07:02:03,847 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 30/130 +[2025-03-11 07:02:03,884 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 31/130 +[2025-03-11 07:02:03,921 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 32/130 +[2025-03-11 07:02:03,959 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 33/130 +[2025-03-11 07:02:03,996 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 34/130 +[2025-03-11 07:02:04,033 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 35/130 +[2025-03-11 07:02:04,081 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 36/130 +[2025-03-11 07:02:04,118 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 37/130 +[2025-03-11 07:02:04,154 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 38/130 +[2025-03-11 07:02:04,193 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 39/130 +[2025-03-11 07:02:04,232 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 40/130 +[2025-03-11 07:02:04,269 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 41/130 +[2025-03-11 07:02:04,309 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 42/130 +[2025-03-11 07:02:04,347 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 43/130 +[2025-03-11 07:02:04,383 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 44/130 +[2025-03-11 07:02:04,419 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 45/130 +[2025-03-11 07:02:04,453 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 46/130 +[2025-03-11 07:02:04,496 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 47/130 +[2025-03-11 07:02:04,542 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 48/130 +[2025-03-11 07:02:04,577 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 49/130 +[2025-03-11 07:02:04,611 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 50/130 +[2025-03-11 07:02:04,646 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 51/130 +[2025-03-11 07:02:04,684 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 52/130 +[2025-03-11 07:02:04,718 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 53/130 +[2025-03-11 07:02:04,753 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 54/130 +[2025-03-11 07:02:04,789 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 55/130 +[2025-03-11 07:02:04,825 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 56/130 +[2025-03-11 07:02:04,859 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 57/130 +[2025-03-11 07:02:04,896 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 58/130 +[2025-03-11 07:02:04,931 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 59/130 +[2025-03-11 07:02:04,968 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 60/130 +[2025-03-11 07:02:05,005 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 61/130 +[2025-03-11 07:02:05,042 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 62/130 +[2025-03-11 07:02:05,077 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 63/130 +[2025-03-11 07:02:05,113 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 64/130 +[2025-03-11 07:02:05,147 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 65/130 +[2025-03-11 07:02:05,186 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 66/130 +[2025-03-11 07:02:05,220 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 67/130 +[2025-03-11 07:02:05,255 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 68/130 +[2025-03-11 07:02:05,293 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 69/130 +[2025-03-11 07:02:05,327 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 70/130 +[2025-03-11 07:02:05,360 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 71/130 +[2025-03-11 07:02:05,397 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 72/130 +[2025-03-11 07:02:05,431 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 73/130 +[2025-03-11 07:02:05,467 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 74/130 +[2025-03-11 07:02:05,511 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 75/130 +[2025-03-11 07:02:05,546 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 76/130 +[2025-03-11 07:02:05,582 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 77/130 +[2025-03-11 07:02:05,619 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 78/130 +[2025-03-11 07:02:05,656 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 79/130 +[2025-03-11 07:02:05,693 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 80/130 +[2025-03-11 07:02:05,729 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 81/130 +[2025-03-11 07:02:05,763 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 82/130 +[2025-03-11 07:02:05,800 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 83/130 +[2025-03-11 07:02:05,850 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 84/130 +[2025-03-11 07:02:05,898 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 85/130 +[2025-03-11 07:02:05,941 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 86/130 +[2025-03-11 07:02:05,978 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 87/130 +[2025-03-11 07:02:06,015 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 88/130 +[2025-03-11 07:02:06,051 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 89/130 +[2025-03-11 07:02:06,086 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 90/130 +[2025-03-11 07:02:06,124 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 91/130 +[2025-03-11 07:02:06,163 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 92/130 +[2025-03-11 07:02:06,199 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 93/130 +[2025-03-11 07:02:06,235 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 94/130 +[2025-03-11 07:02:06,270 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 95/130 +[2025-03-11 07:02:06,306 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 96/130 +[2025-03-11 07:02:06,342 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 97/130 +[2025-03-11 07:02:06,379 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 98/130 +[2025-03-11 07:02:06,416 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 99/130 +[2025-03-11 07:02:06,453 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 100/130 +[2025-03-11 07:02:06,490 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 101/130 +[2025-03-11 07:02:06,528 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 102/130 +[2025-03-11 07:02:06,565 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 103/130 +[2025-03-11 07:02:06,600 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 104/130 +[2025-03-11 07:02:06,636 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 105/130 +[2025-03-11 07:02:06,673 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 106/130 +[2025-03-11 07:02:06,710 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 107/130 +[2025-03-11 07:02:06,745 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 108/130 +[2025-03-11 07:02:06,806 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 109/130 +[2025-03-11 07:02:06,843 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 110/130 +[2025-03-11 07:02:06,880 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 111/130 +[2025-03-11 07:02:06,916 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 112/130 +[2025-03-11 07:02:06,953 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 113/130 +[2025-03-11 07:02:06,990 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 114/130 +[2025-03-11 07:02:07,026 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 115/130 +[2025-03-11 07:02:07,064 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 116/130 +[2025-03-11 07:02:07,100 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 117/130 +[2025-03-11 07:02:07,138 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 118/130 +[2025-03-11 07:02:07,176 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 119/130 +[2025-03-11 07:02:07,211 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 120/130 +[2025-03-11 07:02:07,248 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 121/130 +[2025-03-11 07:02:07,284 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 122/130 +[2025-03-11 07:02:07,320 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 123/130 +[2025-03-11 07:02:07,359 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 124/130 +[2025-03-11 07:02:07,397 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 125/130 +[2025-03-11 07:02:07,433 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 126/130 +[2025-03-11 07:02:07,469 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 127/130 +[2025-03-11 07:02:07,508 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 128/130 +[2025-03-11 07:02:07,546 INFO test.py line 201 2389709] Test: 77/78-scene0095_01, Batch: 129/130 +[2025-03-11 07:02:07,843 INFO test.py line 291 2389709] Test: scene0095_01 [77/78]-216254 Batch 5.215 (4.575) Accuracy 0.8893 (0.3920) mIoU 0.4392 (0.3105) +[2025-03-11 07:02:07,909 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 0/147 +[2025-03-11 07:02:07,948 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 1/147 +[2025-03-11 07:02:07,990 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 2/147 +[2025-03-11 07:02:08,019 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 3/147 +[2025-03-11 07:02:08,048 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 4/147 +[2025-03-11 07:02:08,079 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 5/147 +[2025-03-11 07:02:08,107 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 6/147 +[2025-03-11 07:02:08,157 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 7/147 +[2025-03-11 07:02:08,193 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 8/147 +[2025-03-11 07:02:08,221 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 9/147 +[2025-03-11 07:02:08,252 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 10/147 +[2025-03-11 07:02:08,283 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 11/147 +[2025-03-11 07:02:08,315 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 12/147 +[2025-03-11 07:02:08,346 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 13/147 +[2025-03-11 07:02:08,375 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 14/147 +[2025-03-11 07:02:08,405 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 15/147 +[2025-03-11 07:02:08,435 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 16/147 +[2025-03-11 07:02:08,465 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 17/147 +[2025-03-11 07:02:08,493 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 18/147 +[2025-03-11 07:02:08,524 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 19/147 +[2025-03-11 07:02:08,554 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 20/147 +[2025-03-11 07:02:08,582 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 21/147 +[2025-03-11 07:02:08,611 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 22/147 +[2025-03-11 07:02:08,642 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 23/147 +[2025-03-11 07:02:08,680 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 24/147 +[2025-03-11 07:02:08,710 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 25/147 +[2025-03-11 07:02:08,740 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 26/147 +[2025-03-11 07:02:08,780 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 27/147 +[2025-03-11 07:02:08,809 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 28/147 +[2025-03-11 07:02:08,838 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 29/147 +[2025-03-11 07:02:08,866 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 30/147 +[2025-03-11 07:02:08,893 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 31/147 +[2025-03-11 07:02:08,926 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 32/147 +[2025-03-11 07:02:08,956 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 33/147 +[2025-03-11 07:02:08,991 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 34/147 +[2025-03-11 07:02:09,031 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 35/147 +[2025-03-11 07:02:09,074 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 36/147 +[2025-03-11 07:02:09,116 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 37/147 +[2025-03-11 07:02:09,156 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 38/147 +[2025-03-11 07:02:09,185 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 39/147 +[2025-03-11 07:02:09,212 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 40/147 +[2025-03-11 07:02:09,241 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 41/147 +[2025-03-11 07:02:09,272 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 42/147 +[2025-03-11 07:02:09,305 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 43/147 +[2025-03-11 07:02:09,332 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 44/147 +[2025-03-11 07:02:09,358 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 45/147 +[2025-03-11 07:02:09,384 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 46/147 +[2025-03-11 07:02:09,412 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 47/147 +[2025-03-11 07:02:09,439 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 48/147 +[2025-03-11 07:02:09,470 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 49/147 +[2025-03-11 07:02:09,503 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 50/147 +[2025-03-11 07:02:09,535 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 51/147 +[2025-03-11 07:02:09,565 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 52/147 +[2025-03-11 07:02:09,593 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 53/147 +[2025-03-11 07:02:09,633 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 54/147 +[2025-03-11 07:02:09,662 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 55/147 +[2025-03-11 07:02:09,706 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 56/147 +[2025-03-11 07:02:09,749 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 57/147 +[2025-03-11 07:02:09,801 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 58/147 +[2025-03-11 07:02:09,838 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 59/147 +[2025-03-11 07:02:09,874 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 60/147 +[2025-03-11 07:02:09,918 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 61/147 +[2025-03-11 07:02:09,965 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 62/147 +[2025-03-11 07:02:10,007 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 63/147 +[2025-03-11 07:02:10,050 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 64/147 +[2025-03-11 07:02:10,086 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 65/147 +[2025-03-11 07:02:10,113 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 66/147 +[2025-03-11 07:02:10,142 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 67/147 +[2025-03-11 07:02:10,169 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 68/147 +[2025-03-11 07:02:10,196 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 69/147 +[2025-03-11 07:02:10,222 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 70/147 +[2025-03-11 07:02:10,253 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 71/147 +[2025-03-11 07:02:10,280 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 72/147 +[2025-03-11 07:02:10,323 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 73/147 +[2025-03-11 07:02:10,367 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 74/147 +[2025-03-11 07:02:10,401 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 75/147 +[2025-03-11 07:02:10,424 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 76/147 +[2025-03-11 07:02:10,450 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 77/147 +[2025-03-11 07:02:10,477 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 78/147 +[2025-03-11 07:02:10,504 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 79/147 +[2025-03-11 07:02:10,532 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 80/147 +[2025-03-11 07:02:10,568 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 81/147 +[2025-03-11 07:02:10,595 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 82/147 +[2025-03-11 07:02:10,622 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 83/147 +[2025-03-11 07:02:10,648 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 84/147 +[2025-03-11 07:02:10,676 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 85/147 +[2025-03-11 07:02:10,702 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 86/147 +[2025-03-11 07:02:10,730 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 87/147 +[2025-03-11 07:02:10,758 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 88/147 +[2025-03-11 07:02:10,785 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 89/147 +[2025-03-11 07:02:10,812 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 90/147 +[2025-03-11 07:02:10,840 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 91/147 +[2025-03-11 07:02:10,865 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 92/147 +[2025-03-11 07:02:10,891 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 93/147 +[2025-03-11 07:02:10,917 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 94/147 +[2025-03-11 07:02:10,969 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 95/147 +[2025-03-11 07:02:10,996 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 96/147 +[2025-03-11 07:02:11,032 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 97/147 +[2025-03-11 07:02:11,060 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 98/147 +[2025-03-11 07:02:11,087 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 99/147 +[2025-03-11 07:02:11,116 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 100/147 +[2025-03-11 07:02:11,144 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 101/147 +[2025-03-11 07:02:11,172 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 102/147 +[2025-03-11 07:02:11,199 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 103/147 +[2025-03-11 07:02:11,227 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 104/147 +[2025-03-11 07:02:11,255 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 105/147 +[2025-03-11 07:02:11,282 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 106/147 +[2025-03-11 07:02:11,311 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 107/147 +[2025-03-11 07:02:11,339 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 108/147 +[2025-03-11 07:02:11,367 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 109/147 +[2025-03-11 07:02:11,395 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 110/147 +[2025-03-11 07:02:11,427 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 111/147 +[2025-03-11 07:02:11,456 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 112/147 +[2025-03-11 07:02:11,484 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 113/147 +[2025-03-11 07:02:11,513 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 114/147 +[2025-03-11 07:02:11,541 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 115/147 +[2025-03-11 07:02:11,569 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 116/147 +[2025-03-11 07:02:11,597 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 117/147 +[2025-03-11 07:02:11,626 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 118/147 +[2025-03-11 07:02:11,656 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 119/147 +[2025-03-11 07:02:11,684 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 120/147 +[2025-03-11 07:02:11,736 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 121/147 +[2025-03-11 07:02:11,763 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 122/147 +[2025-03-11 07:02:11,792 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 123/147 +[2025-03-11 07:02:11,820 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 124/147 +[2025-03-11 07:02:11,849 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 125/147 +[2025-03-11 07:02:11,877 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 126/147 +[2025-03-11 07:02:11,905 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 127/147 +[2025-03-11 07:02:11,932 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 128/147 +[2025-03-11 07:02:11,960 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 129/147 +[2025-03-11 07:02:11,988 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 130/147 +[2025-03-11 07:02:12,016 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 131/147 +[2025-03-11 07:02:12,046 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 132/147 +[2025-03-11 07:02:12,074 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 133/147 +[2025-03-11 07:02:12,105 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 134/147 +[2025-03-11 07:02:12,133 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 135/147 +[2025-03-11 07:02:12,161 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 136/147 +[2025-03-11 07:02:12,191 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 137/147 +[2025-03-11 07:02:12,219 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 138/147 +[2025-03-11 07:02:12,247 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 139/147 +[2025-03-11 07:02:12,274 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 140/147 +[2025-03-11 07:02:12,304 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 141/147 +[2025-03-11 07:02:12,332 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 142/147 +[2025-03-11 07:02:12,360 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 143/147 +[2025-03-11 07:02:12,389 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 144/147 +[2025-03-11 07:02:12,416 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 145/147 +[2025-03-11 07:02:12,444 INFO test.py line 201 2389709] Test: 78/78-scene0187_01, Batch: 146/147 +[2025-03-11 07:02:12,597 INFO test.py line 291 2389709] Test: scene0187_01 [78/78]-144163 Batch 4.754 (4.577) Accuracy 0.8343 (0.3908) mIoU 0.3346 (0.3092) +[2025-03-11 07:02:13,190 INFO test.py line 308 2389709] Syncing ... +[2025-03-11 07:02:34,224 INFO test.py line 336 2389709] Val result: mIoU/mAcc/allAcc 0.3435/0.4310/0.8254 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_0 - wall Result: iou/accuracy 0.7935/0.9301 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_1 - chair Result: iou/accuracy 0.7464/0.8762 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_2 - floor Result: iou/accuracy 0.9511/0.9798 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_3 - table Result: iou/accuracy 0.6389/0.7837 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_4 - door Result: iou/accuracy 0.6745/0.7908 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_5 - couch Result: iou/accuracy 0.8044/0.9257 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_6 - cabinet Result: iou/accuracy 0.3887/0.5929 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_7 - shelf Result: iou/accuracy 0.4546/0.6053 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_8 - desk Result: iou/accuracy 0.5907/0.8120 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_9 - office chair Result: iou/accuracy 0.1786/0.2614 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_10 - bed Result: iou/accuracy 0.8072/0.8911 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_11 - pillow Result: iou/accuracy 0.5643/0.7843 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_12 - sink Result: iou/accuracy 0.6925/0.8012 +[2025-03-11 07:02:34,224 INFO test.py line 342 2389709] Class_13 - picture Result: iou/accuracy 0.3958/0.5315 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_14 - window Result: iou/accuracy 0.6174/0.7893 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_15 - toilet Result: iou/accuracy 0.9445/0.9666 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_16 - bookshelf Result: iou/accuracy 0.5069/0.6831 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_17 - monitor Result: iou/accuracy 0.8809/0.9414 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_18 - curtain Result: iou/accuracy 0.7414/0.8635 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_19 - book Result: iou/accuracy 0.4582/0.6857 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_20 - armchair Result: iou/accuracy 0.5284/0.6879 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_21 - coffee table Result: iou/accuracy 0.6239/0.7365 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_22 - box Result: iou/accuracy 0.3613/0.4844 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_23 - refrigerator Result: iou/accuracy 0.7149/0.7628 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_24 - lamp Result: iou/accuracy 0.7024/0.8384 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_25 - kitchen cabinet Result: iou/accuracy 0.6576/0.7371 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_26 - towel Result: iou/accuracy 0.5509/0.7165 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_27 - clothes Result: iou/accuracy 0.2077/0.3643 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_28 - tv Result: iou/accuracy 0.9043/0.9325 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_29 - nightstand Result: iou/accuracy 0.7319/0.8963 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_30 - counter Result: iou/accuracy 0.3028/0.4671 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_31 - dresser Result: iou/accuracy 0.4411/0.5923 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_32 - stool Result: iou/accuracy 0.6094/0.7723 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_33 - cushion Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_34 - plant Result: iou/accuracy 0.8114/0.8950 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_35 - ceiling Result: iou/accuracy 0.9202/0.9612 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_36 - bathtub Result: iou/accuracy 0.8822/0.9179 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_37 - end table Result: iou/accuracy 0.2609/0.3649 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_38 - dining table Result: iou/accuracy 0.0162/0.0207 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_39 - keyboard Result: iou/accuracy 0.4261/0.5604 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_40 - bag Result: iou/accuracy 0.2500/0.3324 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_41 - backpack Result: iou/accuracy 0.6406/0.7318 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_42 - toilet paper Result: iou/accuracy 0.4925/0.6026 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_43 - printer Result: iou/accuracy 0.4977/0.6465 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_44 - tv stand Result: iou/accuracy 0.4451/0.4723 +[2025-03-11 07:02:34,225 INFO test.py line 342 2389709] Class_45 - whiteboard Result: iou/accuracy 0.5048/0.6792 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_46 - blanket Result: iou/accuracy 0.0648/0.0918 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_47 - shower curtain Result: iou/accuracy 0.7197/0.7971 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_48 - trash can Result: iou/accuracy 0.6320/0.8461 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_49 - closet Result: iou/accuracy 0.1025/0.1387 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_50 - stairs Result: iou/accuracy 0.4991/0.6862 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_51 - microwave Result: iou/accuracy 0.5467/0.7492 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_52 - stove Result: iou/accuracy 0.6487/0.8749 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_53 - shoe Result: iou/accuracy 0.5338/0.6682 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_54 - computer tower Result: iou/accuracy 0.5533/0.8050 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_55 - bottle Result: iou/accuracy 0.1325/0.2716 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_56 - bin Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_57 - ottoman Result: iou/accuracy 0.4265/0.4483 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_58 - bench Result: iou/accuracy 0.4580/0.4942 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_59 - board Result: iou/accuracy 0.2334/0.3587 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_60 - washing machine Result: iou/accuracy 0.8442/0.9446 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_61 - mirror Result: iou/accuracy 0.4174/0.4974 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_62 - copier Result: iou/accuracy 0.8527/0.9630 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_63 - basket Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_64 - sofa chair Result: iou/accuracy 0.1855/0.2834 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_65 - file cabinet Result: iou/accuracy 0.4245/0.5119 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_66 - fan Result: iou/accuracy 0.3980/0.4600 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_67 - laptop Result: iou/accuracy 0.5503/0.7780 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_68 - shower Result: iou/accuracy 0.3239/0.3307 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_69 - paper Result: iou/accuracy 0.1032/0.1345 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_70 - person Result: iou/accuracy 0.4054/0.6714 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_71 - paper towel dispenser Result: iou/accuracy 0.5520/0.7738 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_72 - oven Result: iou/accuracy 0.1202/0.1291 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_73 - blinds Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_74 - rack Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_75 - plate Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,226 INFO test.py line 342 2389709] Class_76 - blackboard Result: iou/accuracy 0.5731/0.6283 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_77 - piano Result: iou/accuracy 0.7438/0.8652 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_78 - suitcase Result: iou/accuracy 0.7252/0.8881 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_79 - rail Result: iou/accuracy 0.0481/0.0509 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_80 - radiator Result: iou/accuracy 0.6773/0.7418 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_81 - recycling bin Result: iou/accuracy 0.5076/0.6353 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_82 - container Result: iou/accuracy 0.0141/0.0227 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_83 - wardrobe Result: iou/accuracy 0.2500/0.3599 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_84 - soap dispenser Result: iou/accuracy 0.8115/0.8926 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_85 - telephone Result: iou/accuracy 0.3534/0.4457 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_86 - bucket Result: iou/accuracy 0.3912/0.6560 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_87 - clock Result: iou/accuracy 0.2318/0.2711 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_88 - stand Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_89 - light Result: iou/accuracy 0.0315/0.0342 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_90 - laundry basket Result: iou/accuracy 0.0634/0.0717 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_91 - pipe Result: iou/accuracy 0.0394/0.0594 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_92 - clothes dryer Result: iou/accuracy 0.6237/0.6303 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_93 - guitar Result: iou/accuracy 0.8095/0.8549 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_94 - toilet paper holder Result: iou/accuracy 0.0106/0.0381 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_95 - seat Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_96 - speaker Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_97 - column Result: iou/accuracy 0.0057/0.0060 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_98 - bicycle Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,227 INFO test.py line 342 2389709] Class_99 - ladder Result: iou/accuracy 0.6120/0.6260 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_100 - bathroom stall Result: iou/accuracy 0.4577/0.5155 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_101 - shower wall Result: iou/accuracy 0.4524/0.6020 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_102 - cup Result: iou/accuracy 0.1727/0.2781 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_103 - jacket Result: iou/accuracy 0.2470/0.3195 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_104 - storage bin Result: iou/accuracy 0.0001/0.0001 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_105 - coffee maker Result: iou/accuracy 0.7475/0.8031 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_106 - dishwasher Result: iou/accuracy 0.4110/0.4973 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_107 - paper towel roll Result: iou/accuracy 0.3056/0.3660 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_108 - machine Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_109 - mat Result: iou/accuracy 0.2264/0.2364 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_110 - windowsill Result: iou/accuracy 0.1233/0.1293 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_111 - bar Result: iou/accuracy 0.1678/0.2819 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_112 - toaster Result: iou/accuracy 0.6111/0.8514 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_113 - bulletin board Result: iou/accuracy 0.2864/0.4408 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_114 - ironing board Result: iou/accuracy 0.2278/0.2503 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_115 - fireplace Result: iou/accuracy 0.6818/0.7099 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_116 - soap dish Result: iou/accuracy 0.3766/0.5162 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_117 - kitchen counter Result: iou/accuracy 0.5474/0.6621 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_118 - doorframe Result: iou/accuracy 0.4594/0.6801 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_119 - toilet paper dispenser Result: iou/accuracy 0.5151/0.6621 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_120 - mini fridge Result: iou/accuracy 0.3397/0.3526 +[2025-03-11 07:02:34,228 INFO test.py line 342 2389709] Class_121 - fire extinguisher Result: iou/accuracy 0.2580/0.2778 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_122 - ball Result: iou/accuracy 0.7849/0.8194 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_123 - hat Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_124 - shower curtain rod Result: iou/accuracy 0.4220/0.9262 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_125 - water cooler Result: iou/accuracy 0.7847/0.8449 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_126 - paper cutter Result: iou/accuracy 0.3112/0.4007 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_127 - tray Result: iou/accuracy 0.0497/0.0814 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_128 - shower door Result: iou/accuracy 0.2817/0.3238 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_129 - pillar Result: iou/accuracy 0.0011/0.0012 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_130 - ledge Result: iou/accuracy 0.0581/0.0765 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_131 - toaster oven Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_132 - mouse Result: iou/accuracy 0.1416/0.4571 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_133 - toilet seat cover dispenser Result: iou/accuracy 0.7651/0.8830 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_134 - furniture Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_135 - cart Result: iou/accuracy 0.1439/0.1599 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_136 - storage container Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_137 - scale Result: iou/accuracy 0.5256/0.9429 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_138 - tissue box Result: iou/accuracy 0.2304/0.2982 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_139 - light switch Result: iou/accuracy 0.0632/0.0880 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_140 - crate Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_141 - power outlet Result: iou/accuracy 0.3369/0.3938 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_142 - decoration Result: iou/accuracy 0.3836/0.5357 +[2025-03-11 07:02:34,229 INFO test.py line 342 2389709] Class_143 - sign Result: iou/accuracy 0.0424/0.0452 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_144 - projector Result: iou/accuracy 0.0653/1.0000 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_145 - closet door Result: iou/accuracy 0.0516/0.0574 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_146 - vacuum cleaner Result: iou/accuracy 0.8818/0.9815 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_147 - candle Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_148 - plunger Result: iou/accuracy 0.6062/0.9821 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_149 - stuffed animal Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_150 - headphones Result: iou/accuracy 0.0428/0.0509 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_151 - dish rack Result: iou/accuracy 0.8771/0.9781 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_152 - broom Result: iou/accuracy 0.0650/0.0737 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_153 - guitar case Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_154 - range hood Result: iou/accuracy 0.7996/0.9189 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_155 - dustpan Result: iou/accuracy 0.0397/0.0722 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_156 - hair dryer Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_157 - water bottle Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_158 - handicap bar Result: iou/accuracy 0.0608/0.8280 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_159 - purse Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_160 - vent Result: iou/accuracy 0.2661/0.2740 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_161 - shower floor Result: iou/accuracy 0.8391/0.9981 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_162 - water pitcher Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_163 - mailbox Result: iou/accuracy 0.5066/0.5169 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_164 - bowl Result: iou/accuracy 0.1577/0.1976 +[2025-03-11 07:02:34,230 INFO test.py line 342 2389709] Class_165 - paper bag Result: iou/accuracy 0.1100/0.1243 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_166 - alarm clock Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_167 - music stand Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_168 - projector screen Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_169 - divider Result: iou/accuracy 0.4722/0.5427 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_170 - laundry detergent Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_171 - bathroom counter Result: iou/accuracy 0.2903/0.3402 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_172 - object Result: iou/accuracy 0.0546/0.0927 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_173 - bathroom vanity Result: iou/accuracy 0.5238/0.8007 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_174 - closet wall Result: iou/accuracy 0.0245/0.0335 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_175 - laundry hamper Result: iou/accuracy 0.0129/0.0134 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_176 - bathroom stall door Result: iou/accuracy 0.5372/0.6820 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_177 - ceiling light Result: iou/accuracy 0.3943/0.4762 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_178 - trash bin Result: iou/accuracy 0.2648/0.3210 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_179 - dumbbell Result: iou/accuracy 0.9116/0.9763 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_180 - stair rail Result: iou/accuracy 0.1357/0.1551 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_181 - tube Result: iou/accuracy 0.1333/0.1552 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_182 - bathroom cabinet Result: iou/accuracy 0.4255/0.5556 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_183 - cd case Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_184 - closet rod Result: iou/accuracy 0.6111/0.8654 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_185 - coffee kettle Result: iou/accuracy 0.5288/0.6414 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_186 - structure Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_187 - shower head Result: iou/accuracy 0.3097/0.3346 +[2025-03-11 07:02:34,231 INFO test.py line 342 2389709] Class_188 - keyboard piano Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_189 - case of water bottles Result: iou/accuracy 0.1125/0.1126 +[2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_190 - coat rack Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_191 - storage organizer Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_192 - folded chair Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_193 - fire alarm Result: iou/accuracy 0.0853/0.1803 +[2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_194 - power strip Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_195 - calendar Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_196 - poster Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_197 - potted plant Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_198 - luggage Result: iou/accuracy 0.0000/0.0000 +[2025-03-11 07:02:34,232 INFO test.py line 342 2389709] Class_199 - mattress Result: iou/accuracy 0.0054/0.0054 +[2025-03-11 07:02:34,232 INFO test.py line 350 2389709] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<<