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您只给出了在test的时候有--aux参数,不知道您的训练的时候使用的是那个loss函数。 如果是使用aux 加se_loss的话,是不是可以理解为把sa和ca模块的加和:saca放在一个loss计算,再分别把sa,ca分别用loss计算?
The text was updated successfully, but these errors were encountered:
you could refer to the "loss part" of tag v0.5.0. https://github.com/junfu1115/DANet/tree/v0.5.0
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请问您在loss.py中加入segmentationMultiLosses后,是否依然报错not enough values to unpack (expected 3, got 1)?
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您只给出了在test的时候有--aux参数,不知道您的训练的时候使用的是那个loss函数。
如果是使用aux 加se_loss的话,是不是可以理解为把sa和ca模块的加和:saca放在一个loss计算,再分别把sa,ca分别用loss计算?
The text was updated successfully, but these errors were encountered: