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github-luffy avatar github-luffy commented on August 27, 2024

考虑到自身添加数据后 需要人为判别其类别属性 成本高且不好判断（人为误差）去除了类别属性权重

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YjDai avatar YjDai commented on August 27, 2024

好的，谢谢

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github-luffy avatar github-luffy commented on August 27, 2024

好的，谢谢

客气 留赞ok？ 哈

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YjDai avatar YjDai commented on August 27, 2024

请问mobilenet-v2-0.25实测的效果好吗，我这边训练的飘的比较厉害，很不稳定

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github-luffy avatar github-luffy commented on August 27, 2024

请问mobilenet-v2-0.25实测的效果好吗，我这边训练的飘的比较厉害，很不稳定

可以将飘的比较厉害的图片打印出来 然后查看一下 确认是角度很大的人脸还是正常人脸？

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YjDai avatar YjDai commented on August 27, 2024

我是在线测试的，正对着测试也飘的比较厉害

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github-luffy avatar github-luffy commented on August 27, 2024

我是在线测试的，正对着测试也飘的比较厉害

喔喔 可能输出特征点的网络较浅 而辅助网络（输出三个角度）的模型较强 极有可能都学到角度大的人脸去了 裁剪一下辅助网络或者干脆不要 再训练一下 试试看

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