Image Data Normalization

[yongduek]

As presented in https://pytorch.org/hub/pytorch_vision_deeplabv3_resnet101/, any input image data must be normalized because the backbone (resnet) was trained with it, I guess.

All pre-trained models expect input images normalized in the same way, i.e. mini-batches of 3-channel RGB images of shape (N, 3, H, W), where N is the number of images, H and W are expected to be at least 224 pixels. The images have to be loaded in to a range of [0, 1] and then normalized using mean = [0.485, 0.456, 0.406] and std = [0.229, 0.224, 0.225].