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_BASE_: "mask_rcnn_R_50_FPN_3x_syncbn.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.
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