How should I convert tensor image range [-1,1] to [0,1]

[InnovArul (Arul)]

@Nilesh_Pandey

transforms.normalize()

I guess this has to be normalize.

You can refer to this post:

Understanding transform.Normalize( )

Normalize does the following for each channel: image = (image - mean) / std The parameters mean, std are passed as 0.5, 0.5 in your case. This will normalize the image in the range [-1,1]. For example, the minimum value 0 will be converted to (0-0.5)/0.5=-1, the maximum value of 1 will be converted to (1-0.5)/0.5=1. if you would like to get your image back in [0,1] range, you could use, image = ((image * std) + mean) About whether it helps CNN to learn better, I’m not sure. But majority o…

To renormalize the image, you can use transforms.Normalize(mean=[-1,-1,-1],std=[2,2,2]).