14 lines
516 B
YAML
14 lines
516 B
YAML
_BASE_: "mask_rcnn_R_50_FPN_3x_gn.yaml"
|
|
MODEL:
|
|
# Train from random initialization.
|
|
WEIGHTS: ""
|
|
# 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]
|
|
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.
|