CarrotZelda

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我也遇到了这个问题,应该是未检测出来人脸的landmarks,我debug发现landmarks数组是空的。不知道怎么解决

我也遇到了这个问题,只需要更改一下docker的镜像就好了。 运行`sudo vi /etc/docker/daemon.json`,然后在daemon.json中添加以下内容后保存。 `{ "registry-mirrors": [ "https://docker.m.daocloud.io", "https://docker.nju.edu.cn", "https://dockerproxy.com" ] }` 最后重启docker:`sudo systemctl restart docker`。 此时就可以执行`docker compose up --build -d`了。 @tuoerning

我猜是那几个镜像链接失效了,我之前添加了好几个镜像没有冲突。你也可以试试把那几个去掉,加阿里云的镜像。

我也不清楚根本原因是什么,但是换镜像链接确实能够build成功,我昨晚在新环境上配了一下,添加了一些新的链接。build的过程很慢,但最终没有报错,build成功了。下面是我的daemon.json内的镜像内容。 "registry-mirrors": [ "https://docker.1panel.dev", "https://docker.fxxk.dedyn.io", "https://docker.xn--6oq72ry9d5zx.cn", "https://docker.m.daocloud.io", "https://a.ussh.net", "https://docker.zhai.cm", "https://docker.nju.edu.cn", "https://dockerproxy.com", "http://docker.1panel.live", "https://dockerpull.com", "https://docker.1panel.live", "https://dockerproxy.cn", "https://docker.hpcloud.cloud"],

还有一件事,我参考了issue89,https://github.com/YuqiHuai/SORA-SVL/issues/89#issuecomment-2370252260 把client文件夹与server文件夹中的Dockerfile做了些修改,在`RUN npm install`上面加了一行 `RUN npm config set registry https://registry.npmmirror.com`

I have obtained results similar to yours. So I checked the img_applied_mask during the training process and found that the mask almost covered the entire face. ![patch_48](https://github.com/AlonZolfi/AdversarialMask/assets/122779158/0076c60d-3b51-4224-9c85-12a005b57582) ![img_batch_applied_0](https://github.com/AlonZolfi/AdversarialMask/assets/122779158/dd0e2a12-ed57-4f27-97af-b79ee28d6816) ![img_batch_applied_1](https://github.com/AlonZolfi/AdversarialMask/assets/122779158/82934a36-4183-4511-ae21-a970a61e36b4) ![img_batch_applied_2](https://github.com/AlonZolfi/AdversarialMask/assets/122779158/f5824812-bcc0-4931-ac23-03a9146577a1)

Could you please provide some guidance on how to limit the optimization to only the lower half of the face? Looking forward to your response. Thank you very much! @AlonZolfi

Ok, thank you for your reply! Do you mean to lower the height of this new_mask_uv.png before training? ![1](https://github.com/AlonZolfi/AdversarialMask/assets/122779158/90f10c69-663d-4280-81df-5e45068055d4)