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- _base_ = '../retinanet/retinanet_r50_fpn_1x_coco.py'
- model = dict(
- bbox_head=dict(
- loss_cls=dict(
- _delete_=True,
- type='GHMC',
- bins=30,
- momentum=0.75,
- use_sigmoid=True,
- loss_weight=1.0),
- loss_bbox=dict(
- _delete_=True,
- type='GHMR',
- mu=0.02,
- bins=10,
- momentum=0.7,
- loss_weight=10.0)))
- optimizer_config = dict(
- _delete_=True, grad_clip=dict(max_norm=35, norm_type=2))
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