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zhaofang0627 avatar zhaofang0627 commented on July 24, 2024

Hi, 这是为了做尺度归一化，方便模型学习。

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chenzf11 avatar chenzf11 commented on July 24, 2024

感谢回复！
但是我们发现在TrainDatasetDF3D.py中对训练集train_subjrcts和测试集test_subjects都做了这个缩放处理，所以按道理来说训练的网络输出的label是已经乘以缩放比例之后的label，接着使用相同的网络进行验证，验证得到的也应该就是乘以缩放比例的label。
但是最后在真实环境下构建衣服网格时使用的不应该是真实比例的label吗，为什么要使用缩放比例的label值呀？这样做是不是会导致测试误差偏大？

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zhaofang0627 avatar zhaofang0627 commented on July 24, 2024

最后在计算测试误差的时候我们对GT做了同样的变换处理，可以参考这里。

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chenzf11 avatar chenzf11 commented on July 24, 2024

明白了！十分感谢！

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