code: def __call__(self, image, anno):
      anno = [
          obj for obj in anno if obj["category_id"] in self.categories
      ]
      if not self.remap:
          return image, anno
      anno = copy.deepcopy(anno)
      for obj in anno:
          obj["category_id"] = self.categories.index(obj["category_id"])
      return image, anno
  
file_path: vision/references/segmentation/coco_utils.py
imports: import copy
  import os
  import torch
  import torch.utils.data
  import torchvision
  from PIL import Image
  from pycocotools import mask
  from transforms import Compose
label_desc: Use image node_id 2 for calling the FilterAndRemapCocoCategories obj's underlying member method code with example usage: obj.__call__(image, anno) and returns: image,  anno, image,  anno