configs/quick_schedules/mask_rcnn_R_50_C4_training_acc_test.yaml

_BASE_: "../Base-RCNN-C4.yaml"
MODEL:
  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
  ROI_HEADS:
    BATCH_SIZE_PER_IMAGE: 256
  MASK_ON: True
DATASETS:
  TRAIN: ("coco_2017_val",)
  TEST: ("coco_2017_val",)
INPUT:
  MIN_SIZE_TRAIN: (600,)
  MAX_SIZE_TRAIN: 1000
  MIN_SIZE_TEST: 800
  MAX_SIZE_TEST: 1000
SOLVER:
  IMS_PER_BATCH: 8  # base uses 16
  WARMUP_FACTOR: 0.33333
  WARMUP_ITERS: 100
  STEPS: (11000, 11600)
  MAX_ITER: 12000
TEST:
  EXPECTED_RESULTS: [["bbox", "AP", 41.88, 0.7], ["segm", "AP", 33.79, 0.5]]