Upload folder using huggingface_hub

README.md

@@ -1,3 +1,3 @@
----
-license: apache-2.0
----
+# Cars Detection in Satellite Images
+
+This is a Detectron2 Faster R-CNN model trained to detect 3 classes in satellite imagery.

config.yaml

@@ -0,0 +1,75 @@
+"CUDNN_BENCHMARK: false\nDATALOADER:\n  ASPECT_RATIO_GROUPING: true\n  FILTER_EMPTY_ANNOTATIONS:\
+  \ true\n  NUM_WORKERS: 4\n  REPEAT_SQRT: true\n  REPEAT_THRESHOLD: 0.0\n  SAMPLER_TRAIN:\
+  \ TrainingSampler\nDATASETS:\n  PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000\n  PRECOMPUTED_PROPOSAL_TOPK_TRAIN:\
+  \ 2000\n  PROPOSAL_FILES_TEST: []\n  PROPOSAL_FILES_TRAIN: []\n  TEST:\n  - coco_2017_val\n\
+  \  TRAIN:\n  - coco_2017_train\nFLOAT32_PRECISION: ''\nGLOBAL:\n  HACK: 1.0\nINPUT:\n\
+  \  CROP:\n    ENABLED: false\n    SIZE:\n    - 0.9\n    - 0.9\n    TYPE: relative_range\n\
+  \  FORMAT: BGR\n  MASK_FORMAT: polygon\n  MAX_SIZE_TEST: 1333\n  MAX_SIZE_TRAIN:\
+  \ 1333\n  MIN_SIZE_TEST: 800\n  MIN_SIZE_TRAIN:\n  - 640\n  - 672\n  - 704\n  -\
+  \ 736\n  - 768\n  - 800\n  MIN_SIZE_TRAIN_SAMPLING: choice\n  RANDOM_FLIP: horizontal\n\
+  MODEL:\n  ANCHOR_GENERATOR:\n    ANGLES:\n    - - -90\n      - 0\n      - 90\n \
+  \   ASPECT_RATIOS:\n    - - 0.5\n      - 1.0\n      - 2.0\n    NAME: DefaultAnchorGenerator\n\
+  \    OFFSET: 0.0\n    SIZES:\n    - - 32\n    - - 64\n    - - 128\n    - - 256\n\
+  \    - - 512\n  BACKBONE:\n    FREEZE_AT: 2\n    NAME: build_resnet_fpn_backbone\n\
+  \  DEVICE: cuda\n  FPN:\n    FUSE_TYPE: sum\n    IN_FEATURES:\n    - res2\n    -\
+  \ res3\n    - res4\n    - res5\n    NORM: ''\n    OUT_CHANNELS: 256\n  KEYPOINT_ON:\
+  \ false\n  LOAD_PROPOSALS: false\n  MASK_ON: false\n  META_ARCHITECTURE: GeneralizedRCNN\n\
+  \  PANOPTIC_FPN:\n    COMBINE:\n      ENABLED: true\n      INSTANCES_CONFIDENCE_THRESH:\
+  \ 0.5\n      OVERLAP_THRESH: 0.5\n      STUFF_AREA_LIMIT: 4096\n    INSTANCE_LOSS_WEIGHT:\
+  \ 1.0\n  PIXEL_MEAN:\n  - 103.53\n  - 116.28\n  - 123.675\n  PIXEL_STD:\n  - 1.0\n\
+  \  - 1.0\n  - 1.0\n  PROPOSAL_GENERATOR:\n    MIN_SIZE: 0\n    NAME: RPN\n  RESNETS:\n\
+  \    DEFORM_MODULATED: false\n    DEFORM_NUM_GROUPS: 1\n    DEFORM_ON_PER_STAGE:\n\
+  \    - false\n    - false\n    - false\n    - false\n    DEPTH: 50\n    NORM: FrozenBN\n\
+  \    NUM_GROUPS: 1\n    OUT_FEATURES:\n    - res2\n    - res3\n    - res4\n    -\
+  \ res5\n    RES2_OUT_CHANNELS: 256\n    RES5_DILATION: 1\n    STEM_OUT_CHANNELS:\
+  \ 64\n    STRIDE_IN_1X1: true\n    WIDTH_PER_GROUP: 64\n  RETINANET:\n    BBOX_REG_LOSS_TYPE:\
+  \ smooth_l1\n    BBOX_REG_WEIGHTS: &id002\n    - 1.0\n    - 1.0\n    - 1.0\n   \
+  \ - 1.0\n    FOCAL_LOSS_ALPHA: 0.25\n    FOCAL_LOSS_GAMMA: 2.0\n    IN_FEATURES:\n\
+  \    - p3\n    - p4\n    - p5\n    - p6\n    - p7\n    IOU_LABELS:\n    - 0\n  \
+  \  - -1\n    - 1\n    IOU_THRESHOLDS:\n    - 0.4\n    - 0.5\n    NMS_THRESH_TEST:\
+  \ 0.5\n    NORM: ''\n    NUM_CLASSES: 80\n    NUM_CONVS: 4\n    PRIOR_PROB: 0.01\n\
+  \    SCORE_THRESH_TEST: 0.05\n    SMOOTH_L1_LOSS_BETA: 0.1\n    TOPK_CANDIDATES_TEST:\
+  \ 1000\n  ROI_BOX_CASCADE_HEAD:\n    BBOX_REG_WEIGHTS:\n    - &id001\n      - 10.0\n\
+  \      - 10.0\n      - 5.0\n      - 5.0\n    - - 20.0\n      - 20.0\n      - 10.0\n\
+  \      - 10.0\n    - - 30.0\n      - 30.0\n      - 15.0\n      - 15.0\n    IOUS:\n\
+  \    - 0.5\n    - 0.6\n    - 0.7\n  ROI_BOX_HEAD:\n    BBOX_REG_LOSS_TYPE: smooth_l1\n\
+  \    BBOX_REG_LOSS_WEIGHT: 1.0\n    BBOX_REG_WEIGHTS: *id001\n    CLS_AGNOSTIC_BBOX_REG:\
+  \ false\n    CONV_DIM: 256\n    FC_DIM: 1024\n    FED_LOSS_FREQ_WEIGHT_POWER: 0.5\n\
+  \    FED_LOSS_NUM_CLASSES: 50\n    NAME: FastRCNNConvFCHead\n    NORM: ''\n    NUM_CONV:\
+  \ 0\n    NUM_FC: 2\n    POOLER_RESOLUTION: 7\n    POOLER_SAMPLING_RATIO: 0\n   \
+  \ POOLER_TYPE: ROIAlignV2\n    SMOOTH_L1_BETA: 0.0\n    TRAIN_ON_PRED_BOXES: false\n\
+  \    USE_FED_LOSS: false\n    USE_SIGMOID_CE: false\n  ROI_HEADS:\n    BATCH_SIZE_PER_IMAGE:\
+  \ 512\n    IN_FEATURES:\n    - p2\n    - p3\n    - p4\n    - p5\n    IOU_LABELS:\n\
+  \    - 0\n    - 1\n    IOU_THRESHOLDS:\n    - 0.5\n    NAME: StandardROIHeads\n\
+  \    NMS_THRESH_TEST: 0.5\n    NUM_CLASSES: 3\n    POSITIVE_FRACTION: 0.25\n   \
+  \ PROPOSAL_APPEND_GT: true\n    SCORE_THRESH_TEST: 0.7\n  ROI_KEYPOINT_HEAD:\n \
+  \   CONV_DIMS:\n    - 512\n    - 512\n    - 512\n    - 512\n    - 512\n    - 512\n\
+  \    - 512\n    - 512\n    LOSS_WEIGHT: 1.0\n    MIN_KEYPOINTS_PER_IMAGE: 1\n  \
+  \  NAME: KRCNNConvDeconvUpsampleHead\n    NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true\n\
+  \    NUM_KEYPOINTS: 17\n    POOLER_RESOLUTION: 14\n    POOLER_SAMPLING_RATIO: 0\n\
+  \    POOLER_TYPE: ROIAlignV2\n  ROI_MASK_HEAD:\n    CLS_AGNOSTIC_MASK: false\n \
+  \   CONV_DIM: 256\n    NAME: MaskRCNNConvUpsampleHead\n    NORM: ''\n    NUM_CONV:\
+  \ 4\n    POOLER_RESOLUTION: 14\n    POOLER_SAMPLING_RATIO: 0\n    POOLER_TYPE: ROIAlignV2\n\
+  \  RPN:\n    BATCH_SIZE_PER_IMAGE: 256\n    BBOX_REG_LOSS_TYPE: smooth_l1\n    BBOX_REG_LOSS_WEIGHT:\
+  \ 1.0\n    BBOX_REG_WEIGHTS: *id002\n    BOUNDARY_THRESH: -1\n    CONV_DIMS:\n \
+  \   - -1\n    HEAD_NAME: StandardRPNHead\n    IN_FEATURES:\n    - p2\n    - p3\n\
+  \    - p4\n    - p5\n    - p6\n    IOU_LABELS:\n    - 0\n    - -1\n    - 1\n   \
+  \ IOU_THRESHOLDS:\n    - 0.3\n    - 0.7\n    LOSS_WEIGHT: 1.0\n    NMS_THRESH: 0.7\n\
+  \    POSITIVE_FRACTION: 0.5\n    POST_NMS_TOPK_TEST: 1000\n    POST_NMS_TOPK_TRAIN:\
+  \ 1000\n    PRE_NMS_TOPK_TEST: 1000\n    PRE_NMS_TOPK_TRAIN: 2000\n    SMOOTH_L1_BETA:\
+  \ 0.0\n  SEM_SEG_HEAD:\n    COMMON_STRIDE: 4\n    CONVS_DIM: 128\n    IGNORE_VALUE:\
+  \ 255\n    IN_FEATURES:\n    - p2\n    - p3\n    - p4\n    - p5\n    LOSS_WEIGHT:\
+  \ 1.0\n    NAME: SemSegFPNHead\n    NORM: GN\n    NUM_CLASSES: 54\n  WEIGHTS: /kaggle/working/output/model_final.pth\n\
+  OUTPUT_DIR: ./output\nSEED: -1\nSOLVER:\n  AMP:\n    ENABLED: false\n  BASE_LR:\
+  \ 0.02\n  BASE_LR_END: 0.0\n  BIAS_LR_FACTOR: 1.0\n  CHECKPOINT_PERIOD: 5000\n \
+  \ CLIP_GRADIENTS:\n    CLIP_TYPE: value\n    CLIP_VALUE: 1.0\n    ENABLED: false\n\
+  \    NORM_TYPE: 2.0\n  GAMMA: 0.1\n  IMS_PER_BATCH: 16\n  LR_SCHEDULER_NAME: WarmupMultiStepLR\n\
+  \  MAX_ITER: 270000\n  MOMENTUM: 0.9\n  NESTEROV: false\n  NUM_DECAYS: 3\n  REFERENCE_WORLD_SIZE:\
+  \ 0\n  RESCALE_INTERVAL: false\n  STEPS:\n  - 210000\n  - 250000\n  WARMUP_FACTOR:\
+  \ 0.001\n  WARMUP_ITERS: 1000\n  WARMUP_METHOD: linear\n  WEIGHT_DECAY: 0.0001\n\
+  \  WEIGHT_DECAY_BIAS: null\n  WEIGHT_DECAY_NORM: 0.0\nTEST:\n  AUG:\n    ENABLED:\
+  \ false\n    FLIP: true\n    MAX_SIZE: 4000\n    MIN_SIZES:\n    - 400\n    - 500\n\
+  \    - 600\n    - 700\n    - 800\n    - 900\n    - 1000\n    - 1100\n    - 1200\n\
+  \  DETECTIONS_PER_IMAGE: 100\n  EVAL_PERIOD: 0\n  EXPECTED_RESULTS: []\n  KEYPOINT_OKS_SIGMAS:\
+  \ []\n  PRECISE_BN:\n    ENABLED: false\n    NUM_ITER: 200\nVERSION: 2\nVIS_PERIOD:\
+  \ 0\n"

model_final.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:abc473bf77dbf80ca3b34e9da4f0c1212f019feb492fa1c5e0b8973ad2ff8857
+size 330107220