faster_rcnn_Swin_T_FPN_3x_opendet.yaml

_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: 80000
  WARMUP_ITERS: 100
  WEIGHT_DECAY: 0.05
  #BASE_LR: 0.0001
  BASE_LR: 0.00007
  OPTIMIZER: "ADAMW"
  AMP:
    ENABLED: True