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github-luffy avatar github-luffy commented on June 3, 2024

作者您好!首先谢谢您的工作!
我想问下既然在300W数据集中没有关于6种人脸属性的描述,为什么不在数据准备、训练过程中把这部分去掉呢?

可以去掉

from pfld_68points_pytorch.

axhionning avatar axhionning commented on June 3, 2024

from pfld_68points_pytorch.

Incandescenced1 avatar Incandescenced1 commented on June 3, 2024

好的谢谢您,我发现在300W数据集下使用和不使用辅助网络对网络精度影响不是很大。请问您有探究过这个原因吗? 还有个问题是关于大小对齐的,我复现之后不管是训练权重大小、参数量、浮点数计算量都没能够对齐12.6Mb(PFLD_1x),请问您知道是什么原因吗? 非常期待您的回复, 祝好。 在 2022-03-06 17:09:10,"yxqAIxp" @.> 写道: 作者您好!首先谢谢您的工作! 我想问下既然在300W数据集中没有关于6种人脸属性的描述,为什么不在数据准备、训练过程中把这部分去掉呢? 可以去掉 — Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android. You are receiving this because you authored the thread.Message ID: @.>

你的300W能复现出论文上的精度吗,我复现的ION差好多

from pfld_68points_pytorch.

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