code: def __init__(self, *args, **kwargs):
      super().__init__()
      from pytorchvideo import transforms as ptv_transforms
  
      self.transform = img_transforms.Compose(
          [
              ptv_transforms.Permute((3, 0, 1, 2)),
              ptv_transforms.Div255(),
          ]
      )
  
imports: import collections
  import importlib
  import logging
  import random
  import mmf.datasets.processors.functional
  import torch
  from mmf.common.registry import registry
  from mmf.datasets.processors import BaseProcessor
  from omegaconf import OmegaConf
  from torchvision import transforms
label_desc: Use image node_id 1 to create a new PermuteAndRescale object from inherited base classes: BaseProcessor with example: obj = PermuteAndRescale()