code: def __call__(self, image, target):
      anno = target["annotations"]
      anno = [
          obj for obj in anno if obj["category_id"] in self.categories
      ]
      if not self.remap:
          target["annotations"] = anno
          return image, target
      anno = copy.deepcopy(anno)
      for obj in anno:
          obj["category_id"] = self.categories.index(obj["category_id"])
      target["annotations"] = anno
      return image, target
  
imports: import copy
  import os
  import torch
  import torch.utils.data
  import torchvision
  from pycocotools import mask
  from pycocotools.coco import COCO
  from examples.tvdetection.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, target) and returns: image,  target, image,  target