transforms.Normalize

vision
1

please, explain me about transforms.Normalize; I put in my code this transforms.Normalize([0.4161,],[0.1688,]) to image type gray and image type RGB transforms.Normalize([0.485, 0.456, 0.406],
[0.229, 0.224, 0.225])

and
transforms.Normalize(
mean=[-0.485/0.229, -0.456/0.224, -0.406/0.225], std=[1/0.229, 1/0.224, 1/0.225]

thanks

2

transform.Normalize normalizes the input tensor by subtracting the specified mean and dividing by the std to create a tensor with zero mean and unit variance.
The docs also give the formula for it.

3

please explain how to get ([0.485, 0.456, 0.406],
[0.229, 0.224, 0.225])
thanks

4

The posted values are the mean and std of ImageNet, which can often be reused.
You could also calculate these values for your training dataset as e.g. explained here.