Hi All,
Is there a better way to compute the mean and standard deviation of all images in the dataset using some Fast AI convenient functions?
I am trying the following approach:
images = torch.stack([tensor(Image.open(o)).float()/255 for o in path.ls().sorted()])
mean = images.mean(axis=[0,1,2])
But it is incredibly slow.
I will appreciate your guidance.
Thanks and Kind Regards,
Bilal