Swin-Transformer-Object-Detection / configs /reppoints /reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py
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_base_ = './reppoints_moment_r50_fpn_1x_coco.py'
norm_cfg = dict(type='GN', num_groups=32, requires_grad=True)
model = dict(neck=dict(norm_cfg=norm_cfg), bbox_head=dict(norm_cfg=norm_cfg))
optimizer = dict(lr=0.01)