code: def __call__(self, x):
      if isinstance(x, collections.abc.Mapping):
          x = x["image"]
          return {"image": self.transform(x)}
      else:
          return self.transform(x)
  
imports: import collections
  import math
  import random
  import warnings
  import torch
  from mmf.common.constants import INCEPTION_IMAGE_NORMALIZE
  from mmf.common.registry import registry
  from mmf.datasets.processors.processors import BaseProcessor
  from omegaconf import OmegaConf
  from torchvision import transforms
  from torchvision.transforms import Compose, Normalize, Resize, ToTensor
label_desc: Use image node_id 2 for calling the GrayScaleTo3Channels obj's underlying member method code with example usage: obj.__call__(x) and returns: dict, self