Mean and STD values regarding our dataset is required

[Nikronic]

We need to calculate mean and std of the whole dataset lazily (online) BEFORE applying halftone.

Actually, The output is something similar to ground truth and by the way we can see in the paper they have mentioned that ground truth is normalized ([-1, 1]). And we cannot calculate mean and std of halftone because of random operations.

[Nikronic]

Please see commit a1a5300.
ref: https://discuss.pytorch.org/t/about-normalization-using-pre-trained-vgg16-networks/23560/9

Furthermore, for test purposes on out 9 image subset, here is the mean and std values:
mean= [0.3918, 0.3725, 0.3191]
std=[0.4881, 0.4835, 0.4661]

[Nikronic]

Please see commit 81a229f .

[Nikronic]

How to deal with halftone if our images are normalized???