DeNA / PyTorch_YOLOv3

Implementation of YOLOv3 in PyTorch

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Why BCELoss for xy?

ccqu opened this issue · comments

Hi,
I think the original loss for xy is L2, so why in your code is BCELoss used?
https://github.com/DeNA/PyTorch_YOLOv3/blob/master/models/yolo_layer.py#L192
Thanks in advance!

Hi,
I am having the same question. The paper just mentioned BCE Loss for class prediction.

add me to the list :D
same question here.