opendet2 / configs /faster_rcnn_Swin_T_FPN_3x_opendet.yaml
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_BASE_: "./Base-RCNN-FPN-OPENDET.yaml"
MODEL:
WEIGHTS: "checkpoints/swin_tiny_patch4_window7_224_d2.pth"
PIXEL_MEAN: [123.675, 116.28, 103.53]
PIXEL_STD: [58.395, 57.12, 57.375]
RESNETS:
DEPTH: 50
BACKBONE:
NAME: "build_swint_fpn_backbone"
SWINT:
OUT_FEATURES: ["stage2", "stage3", "stage4", "stage5"]
FPN:
IN_FEATURES: ["stage2", "stage3", "stage4", "stage5"]
DATASETS:
TRAIN: ('voc_2007_train', 'voc_2012_trainval')
TEST: ('voc_2007_test', 'voc_coco_20_40_test', 'voc_coco_20_60_test', 'voc_coco_20_80_test', 'voc_coco_2500_test', 'voc_coco_5000_test', 'voc_coco_10000_test', 'voc_coco_20000_test')
SOLVER:
STEPS: (21000, 29000)
MAX_ITER: 32000
WARMUP_ITERS: 100
WEIGHT_DECAY: 0.05
BASE_LR: 0.0001
OPTIMIZER: "ADAMW"
AMP:
ENABLED: True