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代码loss中没有考虑类不平衡问题的属性权重？ #8

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YjDai opened this issue Sep 10, 2020 · 7 comments
Closed

代码loss中没有考虑类不平衡问题的属性权重？ #8

YjDai opened this issue Sep 10, 2020 · 7 comments

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@YjDai
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YjDai commented Sep 10, 2020

你好， 代码loss中没有考虑类不平衡问题的属性权重？
@github-luffy
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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

@YjDai
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YjDai commented Sep 10, 2020

好的，谢谢

@github-luffy
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好的，谢谢

客气 留赞ok？ 哈

@YjDai
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YjDai commented Sep 10, 2020

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

@github-luffy
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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？

@YjDai
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YjDai commented Sep 10, 2020

我是在线测试的，正对着测试也飘的比较厉害

@github-luffy
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github-luffy commented Sep 10, 2020 •
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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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@github-luffy @YjDai