code: def __call__(self, x):
      # Support both dict and normal mode
      if isinstance(x, collections.abc.Mapping):
          x = x["video"]
          return {"video": self.transform(x)}
      else:
          return self.transform(x)
  
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 4 for calling the VideoTransforms obj's underlying member method code with example usage: obj.__call__(x) and returns: dict, self