normalization code for image data in mask directory does not work

[superbunny38]

Hello, thank you so much for your nice and detailed explanations about U-Net and Image segmentation.
I had no idea what those are, and I was able to learn a lot from your thorough explanations and well-explained codes.
However, when normalizing image data by dividing all images by 255.0, it does not work for images in mask directory.
So when I fit the model, it gives me negative values for binary cross_entroy error :)
So, I added the code myself to manually normalize image data in mask directory. Thanks for reading!

[Pottah007]

Hello there, I'm facing the same issue.
Could you please explain or provide the code which you used to properly normalize the data?

[superbunny38]

Hello,

Hello there, I'm facing the same issue. Could you please explain or provide the code which you used to properly normalize the data?

Hello, @Pottah007
I will leave you the link below that I re-produced this work, and in which I also successfully handled the normalization issue. :)
Here is the link: https://github.com/superbunny38/DeepLearning/blob/main/papers/U_Net.ipynb