I have a dataset which needs to be denoised. When I was looking at the images of my dataloader which are fed into network I saw that the images from dataloader and images in my dataset are very different. Now the only transformation I used are resize and ToTensor(). Is it because of ToTensor()? Is …

This may help: min = float(img.min()) max = float(img.max()) img.clamp_(min=min, max=max) img.add_(-min).div_(max - min + 1e-5) Even a simpler way would be using torchvision.utils.save_image

Normalisation necessary for image reconstruction?

vision

Nikronic (Nikan Doosti) June 19, 2020, 6:17am 6

You are welcome.
Are we going to close this question too or it is a different issue?