code: def _aug(self, img, ops, apply_or_not):
      for i, (name, level) in enumerate(ops):
          if not apply_or_not[i]:
              continue
          args = arg_dict[name](level)
          img = func_dict[name](img, *args)
      return torch.from_numpy(img)
  
imports: import cv2
  import numpy
  import torch
label_desc: Use image node_id 4 for calling the VideoRandomAugment obj's underlying member method code with example usage: obj._aug(img, ops, apply_or_not) and returns: torch