right before the normalization at:
img = TF.to_tensor(img)

the values are in range [0-1] but after they are >1.
So you mean the normalization works and is just for the network input and not meant to be visualized directly?
If I want to visualize it I need to re-normalize it back to 0-1?
If so, how do I do that?