scratch_mask_rcnn_R_50_FPN_3x_gn.yaml

_BASE_: "mask_rcnn_R_50_FPN_3x_gn.yaml"
# INPUT:
  # It makes sense to divide by STD when training from scratch
  # But it seems to make no difference on the results and C2's models didn't do this.
  # So we keep things consistent with C2.
  # PIXEL_STD: [57.375, 57.12, 58.395]
MODEL:
  # Train from random initialization.
  WEIGHTS: ""
  MASK_ON: True
  BACKBONE:
    FREEZE_AT: 0
# NOTE: Please refer to Rethinking ImageNet Pre-training https://arxiv.org/abs/1811.08883
# to learn what you need for training from scratch.