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首先感谢您的代码! 但是这个关键部分的maps产生作者论文当中好像只说了作用,没说具体如何生成parsing map的 我看了你的工程 好像是靠加载npy文件来做的,能具体说下这个parsing map 生成原理吗?有办法只靠坐标来生成parsing map 而不靠hourglass网络来做。作者在提出loss中有用到预测的parsing map 和 真实的parsing map的差作为loss的一部分,但是groundtrue的parsing map是怎么产生的 您知道吗?
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https://github.com/Yijunmaverick/GenerativeFaceCompletion
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@wqz960 我也遇到了同样的问题,这个repo或许对你有帮助。https://github.com/zllrunning/face-parsing.PyTorch
THX. I am uploading the pretrained weight and I rewrite all the dataloader for you. You can download the NEW_VERSION.
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首先感谢您的代码!
但是这个关键部分的maps产生作者论文当中好像只说了作用,没说具体如何生成parsing map的 我看了你的工程 好像是靠加载npy文件来做的,能具体说下这个parsing map 生成原理吗?有办法只靠坐标来生成parsing map 而不靠hourglass网络来做。作者在提出loss中有用到预测的parsing map 和 真实的parsing map的差作为loss的一部分,但是groundtrue的parsing map是怎么产生的 您知道吗?
The text was updated successfully, but these errors were encountered: