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- _base_ = ['../_base_/models/retinanet_r50_fpn.py', '../common/ms_3x_coco.py']
- # optimizer
- model = dict(
- backbone=dict(
- depth=101,
- init_cfg=dict(type='Pretrained',
- checkpoint='torchvision://resnet101')))
- optim_wrapper = dict(
- optimizer=dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001))
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