scratch_mask_rcnn_R_50_FPN_9x_gn.yaml

_BASE_: "mask_rcnn_R_50_FPN_3x_gn.yaml"
MODEL:
  PIXEL_STD: [57.375, 57.12, 58.395]
  WEIGHTS: ""
  MASK_ON: True
  RESNETS:
    STRIDE_IN_1X1: False
  BACKBONE:
    FREEZE_AT: 0
SOLVER:
  # 9x schedule
  IMS_PER_BATCH: 64  # 4x the standard
  STEPS: (187500, 197500)  # last 60/4==15k and last 20/4==5k
  MAX_ITER: 202500   # 90k * 9 / 4
  BASE_LR: 0.08
TEST:
  EVAL_PERIOD: 2500
# NOTE: Please refer to Rethinking ImageNet Pre-training https://arxiv.org/abs/1811.08883
# to learn what you need for training from scratch.