chunk_content: ns for the datasets. These functions will include data augmentation and pixel scaling:
  
  
  	Copied
  from torchvision.transforms import (
      CenterCrop,
      Compose,
      Normalize,
      RandomHorizontalFlip,
      RandomResizedCrop,
      Resize,
      ToTensor,
  )
  
  normalize = Normalize(mean=image_processor.image_mean, std=image_processor.image_std)
  train_transforms = Compose(
      [
          RandomResizedCrop(image_processor.size["height"]),
          Rando