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- _base_ = './solo_r50_fpn_3x_coco.py'
- # model settings
- model = dict(
- mask_head=dict(
- type='DecoupledSOLOHead',
- num_classes=80,
- in_channels=256,
- stacked_convs=7,
- feat_channels=256,
- strides=[8, 8, 16, 32, 32],
- scale_ranges=((1, 96), (48, 192), (96, 384), (192, 768), (384, 2048)),
- pos_scale=0.2,
- num_grids=[40, 36, 24, 16, 12],
- cls_down_index=0,
- loss_mask=dict(
- type='DiceLoss', use_sigmoid=True, activate=False,
- loss_weight=3.0),
- loss_cls=dict(
- type='FocalLoss',
- use_sigmoid=True,
- gamma=2.0,
- alpha=0.25,
- loss_weight=1.0),
- norm_cfg=dict(type='GN', num_groups=32, requires_grad=True)))
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