_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)) | |