configs/gn_baselines/e2e_faster_rcnn_R_50_FPN_Xconv1fc_1x_gn.yaml [1:37]:
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INPUT:
  MIN_SIZE_TRAIN: (800,)
  MAX_SIZE_TRAIN: 1333
  MIN_SIZE_TEST: 800
  MAX_SIZE_TEST: 1333
MODEL:
  META_ARCHITECTURE: "GeneralizedRCNN"
  WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50-GN"
  BACKBONE:
    CONV_BODY: "R-50-FPN"
  RESNETS: # use GN for backbone
    BACKBONE_OUT_CHANNELS: 256
    STRIDE_IN_1X1: False
    TRANS_FUNC: "BottleneckWithGN"
    STEM_FUNC: "StemWithGN"
  FPN:
    USE_GN: True # use GN for FPN
  RPN:
    USE_FPN: True
    ANCHOR_STRIDE: (4, 8, 16, 32, 64)
    PRE_NMS_TOP_N_TRAIN: 2000
    PRE_NMS_TOP_N_TEST: 1000
    POST_NMS_TOP_N_TEST: 1000
    FPN_POST_NMS_TOP_N_TEST: 1000
  ROI_HEADS:
    USE_FPN: True
    BATCH_SIZE_PER_IMAGE: 512
    POSITIVE_FRACTION: 0.25
  ROI_BOX_HEAD:
    USE_GN: True # use GN for bbox head
    POOLER_RESOLUTION: 7
    POOLER_SCALES: (0.25, 0.125, 0.0625, 0.03125)
    POOLER_SAMPLING_RATIO: 2
    CONV_HEAD_DIM: 256
    NUM_STACKED_CONVS: 4
    FEATURE_EXTRACTOR: "FPNXconv1fcFeatureExtractor"
    PREDICTOR: "FPNPredictor"
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configs/gn_baselines/e2e_mask_rcnn_R_50_FPN_Xconv1fc_1x_gn.yaml [1:37]:
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INPUT:
  MIN_SIZE_TRAIN: (800,)
  MAX_SIZE_TRAIN: 1333
  MIN_SIZE_TEST: 800
  MAX_SIZE_TEST: 1333
MODEL:
  META_ARCHITECTURE: "GeneralizedRCNN"
  WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50-GN"
  BACKBONE:
    CONV_BODY: "R-50-FPN"
  RESNETS: # use GN for backbone
    BACKBONE_OUT_CHANNELS: 256
    STRIDE_IN_1X1: False
    TRANS_FUNC: "BottleneckWithGN"
    STEM_FUNC: "StemWithGN"
  FPN:
    USE_GN: True # use GN for FPN
  RPN:
    USE_FPN: True
    ANCHOR_STRIDE: (4, 8, 16, 32, 64)
    PRE_NMS_TOP_N_TRAIN: 2000
    PRE_NMS_TOP_N_TEST: 1000
    POST_NMS_TOP_N_TEST: 1000
    FPN_POST_NMS_TOP_N_TEST: 1000
  ROI_HEADS:
    USE_FPN: True
    BATCH_SIZE_PER_IMAGE: 512
    POSITIVE_FRACTION: 0.25
  ROI_BOX_HEAD:
    USE_GN: True # use GN for bbox head
    POOLER_RESOLUTION: 7
    POOLER_SCALES: (0.25, 0.125, 0.0625, 0.03125)
    POOLER_SAMPLING_RATIO: 2
    CONV_HEAD_DIM: 256
    NUM_STACKED_CONVS: 4
    FEATURE_EXTRACTOR: "FPNXconv1fcFeatureExtractor"
    PREDICTOR: "FPNPredictor"
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