不能载入stitchfusion的权重

[Mask0913]

无论是semseg/models/backbones/stitchfusion.py 还是stitchfusion_with_tips_you_can_copy.py都无法载入 Google网盘中DELIVER的CVMac_CVMac-B2_DELIVER_RGBDEL_68.18.pth。

[Mask0913]

semseg/models/backbones/stitchfusion.py： ` _IncompatibleKeys(missing_keys=['backbone.block1.0.adap_t_att12.adapter_down.weight', 'backbone.block1.0.adap_t_att12.adapter_down.bias', 'backbone.block1.0.adap_t_att12.adapter_mid.weight', 'backbone.block1.0.adap_t_att12.adapter_mid.bias', 'backbone.block1.0.adap_t_att12.adapter_up.weight', 'backbone.block1.0.adap_t_att12.adapter_up.bias', 'backbone.block1.0.adap_t_mlp12.adapter_down.weight', 'backbone.block1.0.adap_t_mlp12.adapter_down.bias', 'backbone.block1.0.adap_t_mlp12.adapter_mid.weight', 'backbone.block1.0.adap_t_mlp12.adapter_mid.bias', 'backbone.block1.0.adap_t_mlp12.adapter_up.weight', 'backbone.block1.0.adap_t_mlp12.adapter_up.bias', 'backbone.block1.0.adap_t_att13.adapter_down.weight', 'backbone.block1.0.adap_t_att13.adapter_down.bias', 'backbone.block1.0.adap_t_att13.adapter_mid.weight', 'backbone.block1.0.adap_t_att13.adapter_mid.bias', 'backbone.block1.0.adap_t_att13.adapter_up.weight', 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`

[Mask0913]

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`

[LiBingyu01]

谢谢您的回信，感谢您对我工作的认可和关注。

如果需要复现代码需要您：

1. 修改config中deliver的模态组合和路径
2. stitchfusion_you_can_copy.py文件中有

-----------DELIVER-------------------- -----------FMB64.85--------------- 等注释 你需要用 -----------DELIVER--------------------

------------------- DELIVER -------------------

        # --- RGBD RGBE RGBL RGBDL
        # block = nn.ModuleList([Block_every_one_2(embed_dims[i], pano_1[i], pano_2[i], dpr[cur+j],self.num_modals+1) for j in range(depths[i])])

您需要用下边的这个！！！ ##########################################################

--- RGBDEL

        # if i < 2 :
        #     block = nn.ModuleList([Block(embed_dims[i], pano_1[i], pano_2[i], dpr[cur+j]) for j in range(depths[i])])
        # else:
        #     block = nn.ModuleList([Block_every_one_2(embed_dims[i], pano_1[i], pano_2[i], dpr[cur+j],self.num_modals+1) for j in range(depths[i])])

########################################################## 您需要用上边的这个！！！

4. 你需要注释掉 FeatureCross的所有代码，因为我们报道的时候并没用到FeatureCross，其他的数据集有用到的您可以根据.pth文件加载的提示来选择注释与否。

   feature_cross = FeatureCross(self.channels, num_modals = self.num_modals + 1)

   setattr(self, f"feature_cross", feature_cross)

我重新复现了代码，得到了结果68.21，可能因为设备不同有所些许差别，如果您有问题可以发我邮件。

谢谢您！

[Mask0913]

感谢您的回答，已经定位问题。