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作者您好,感谢您工作的贡献。如果我要用resnet101作为主干,请问我修改配置文件内容如下可以吗: img_backbone=dict( type="ResNet", depth=101, num_stages=4, out_indices=(1, 2, 3), frozen_stages=4, norm_cfg=dict(type="BN2d", requires_grad=False), norm_eval=True, style="caffe", dcn=dict( type="DCNv2", deform_groups=1, fallback_on_stride=False ), # original DCNv2 will print log when perform load_state_dict stage_with_dcn=(False, False, True, True), ),
The text was updated successfully, but these errors were encountered:
img_backbone=dict( type='ResNet', depth=101, num_stages=4, frozen_stages=-1, style='pytorch', with_cp=True, out_indices=(0, 1, 2, 3), norm_eval=True, norm_cfg=dict(type='BN', requires_grad=False), init_cfg=dict( type='Pretrained', checkpoint= 'ckpt/cascade_mask_rcnn_r101_fpn_1x_nuim_20201024_134804-45215b1e.pth', prefix='backbone.')), img_neck=dict( type='FPN', num_outs=4, start_level=1, out_channels=256, add_extra_convs='on_output', relu_before_extra_convs=True, in_channels=[256, 512, 1024, 2048] ),
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好嘞,我试试,谢谢啦
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作者您好,感谢您工作的贡献。如果我要用resnet101作为主干,请问我修改配置文件内容如下可以吗:
img_backbone=dict(
type="ResNet",
depth=101,
num_stages=4,
out_indices=(1, 2, 3),
frozen_stages=4,
norm_cfg=dict(type="BN2d", requires_grad=False),
norm_eval=True,
style="caffe",
dcn=dict(
type="DCNv2", deform_groups=1, fallback_on_stride=False
), # original DCNv2 will print log when perform load_state_dict
stage_with_dcn=(False, False, True, True),
),
The text was updated successfully, but these errors were encountered: