code: def __init__(self, config, *args, **kwargs):
      image_size = config.get("size", [224, 224])
      transforms_list = []
      transforms_list.append(Resize(image_size))
      transforms_list.append(ToTensor())
      transforms_list.append(GrayScaleTo3Channels())
      transforms_list.append(
          Normalize(
              INCEPTION_IMAGE_NORMALIZE, INCEPTION_IMAGE_NORMALIZE
          )
      )
      self.transform = Compose(transforms_list)
  
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 1 to create a new VILTImageProcessor object from inherited base classes: BaseProcessor with example: obj = VILTImageProcessor(config)