MODEL:
  META_ARCHITECTURE: "GeneralizedRCNN"
  WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50"
  RPN_ONLY: True
  BACKBONE:
    CONV_BODY: "R-50-FPN"
  RESNETS:
    BACKBONE_OUT_CHANNELS: 256
  RPN:
    USE_FPN: True
    ANCHOR_STRIDE: (4, 8, 16, 32, 64)
    PRE_NMS_TOP_N_TEST: 1000
    POST_NMS_TOP_N_TEST: 2000
    FPN_POST_NMS_TOP_N_TEST: 2000
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
DATALOADER:
  SIZE_DIVISIBILITY: 32
SOLVER:
  BASE_LR: 0.005
  WEIGHT_DECAY: 0.0001
  STEPS: (1500,)
  MAX_ITER: 2000
  IMS_PER_BATCH: 4
TEST:
  IMS_PER_BATCH: 2
