About the input file and the evaluation about image_segmentation

You only used F.sigmoid(SR) in the train phase, and you didn't use it in valid and test phase. I think it may be ignored. right?

[LeeJunHyun]

Hi @Zaynsysu ,
At first, Thank you for your interest in my code.

1. In data_loader.py, there are some transform function that is applied to your images.
   (ex. T.ToTensor(), T.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)))
   It will change your input in specific range.

2. Because SR is applied to sigmoid function, it will have range [0,1].

3. I correct valid and test phase code. I really appreciate your point. Thank you :)

[LeeJunHyun]

If you don't have further issues, I will close the issue. I hope my answer was helpful :)

[Nastu-Ho]

Hi @Zaynsysu ,
At first, Thank you for your interest in my code.

1. In data_loader.py, there are some transform function that is applied to your images.
   (ex. T.ToTensor(), T.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)))
   It will change your input in specific range.
2. Because SR is applied to sigmoid function, it will have range [0,1].
3. I correct valid and test phase code. I really appreciate your point. Thank you :)

T.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)))， these parameters how to calculate？

[LeeJunHyun]

Hi, @Nastu-Ho.

The parameters of T.Normalize are channel-wise mean and std of your images.

I just simply set them as 0.5, but you can change them.

You can refer here

[LeeJunHyun]

If you don't have further issues, I will close the issue. I hope my answer was helpful :)

[liubo0902]

The evaluation code is just for batch size equal to 1?