coco_R_50_C4_1x.yaml

_BASE_: "Base-RCNN-C4-BN.yaml"
MODEL:
  MASK_ON: True
  WEIGHTS: "detectron2:https://ImageNetPretrained/MSRA/R-50.pkl"
INPUT:
  MIN_SIZE_TRAIN: (640, 672, 704, 736, 768, 800)
  MIN_SIZE_TEST: 800
DATASETS:
  TRAIN: ("coco_2017_train",)
  TEST: ("coco_2017_val",)
SOLVER:
  STEPS: (60000, 80000)
  MAX_ITER: 90000