text: MODEL:
    META_ARCHITECTURE: "GeneralizedRCNN"
    WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50"
    RPN:
      PRE_NMS_TOP_N_TEST: 6000
      POST_NMS_TOP_N_TEST: 1000
    ROI_HEADS:
      BATCH_SIZE_PER_IMAGE: 256
    ROI_MASK_HEAD:
      PREDICTOR: "MaskRCNNC4Predictor"
      SHARE_BOX_FEATURE_EXTRACTOR: True
    MASK_ON: True
  DATASETS:
    TRAIN: ("coco_2014_minival",)
    TEST: ("coco_2014_minival",)
  INPUT:
    MIN_SIZE_TRAIN: 600
    MAX_SIZE_TRAIN: 1000
    MIN_SIZE_TEST: 800
    MAX_SIZE_TEST: 1000
  SOLVER:
    BASE_LR: 0.005
    WEIGHT_DECAY: 0.0001
    STEPS: (1500,)
    MAX_ITER: 2000
    IMS_PER_BATCH: 4
  TEST:
    IMS_PER_BATCH: 2
  