samewind / configs /backup /faster_rcnn /faster-rcnn_r50-tnr-pre_fpn_1x_coco.py
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_base_ = [
'../_base_/models/faster-rcnn_r50_fpn.py',
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
checkpoint = 'https://download.pytorch.org/models/resnet50-11ad3fa6.pth'
model = dict(
backbone=dict(init_cfg=dict(type='Pretrained', checkpoint=checkpoint)))
# `lr` and `weight_decay` have been searched to be optimal.
optim_wrapper = dict(
optimizer=dict(_delete_=True, type='AdamW', lr=0.0001, weight_decay=0.1),
paramwise_cfg=dict(norm_decay_mult=0., bypass_duplicate=True))