Why when computing RMSE loss, fake and real must be multiplied by 10?

[jundanl]

You do transforms.ToTensor() on depth after loading it. I found that PyTorch will actually do depth = depth/255.
I guess, when computing loss, it would be better to multiply 255 in order to get a correct loss. I haven't read your code thoroughly, and don't know what you have done when you preprocessed the data. I feel confused why fake and real must be multiplied by 10 when computing loss.

I'm a beginner in this field. Thanks for your great work.

[haofengac]

Hello,

Thanks for pointing this out. The script is actually for the NYUv2 dataset. I'll try to release the script for KITTI as soon as possible.