code: def _filter_relpaths(self, relpaths):
      ignore = set(
          [
              "n06596364_9591.JPEG",
          ]
      )
      relpaths = [
          rpath
          for rpath in relpaths
          if not rpath.split("/")[-1] in ignore
      ]
      if "sub_indices" in self.config:
          indices = str_to_indices(self.config["sub_indices"])
          synsets = give_synsets_from_indices(
              indices, path_to_yaml=self.idx2syn
          )  # returns a list of strings
          self.synset2idx = synset2idx(path_to_yaml=self.idx2syn)
          files = []
          for rpath in relpaths:
              syn = rpath.split("/")[0]
              if syn in synsets:
                  files.append(rpath)
          return files
      else:
          return relpaths
  
imports: import glob
  import os
  import pickle
  import shutil
  import tarfile
  from functools import partial
  import albumentations
  import cv2
  import numpy
  import PIL
  import taming.data.utils
  import torchvision.transforms.functional
  import yaml
  from ldm.modules.image_degradation import degradation_fn_bsr, degradation_fn_bsr_light
  from omegaconf import OmegaConf
  from PIL import Image
  from taming.data.imagenet import ImagePaths, download, give_synsets_from_indices, retrieve, str_to_indices
  from torch.utils.data import Dataset, Subset
  from tqdm import tqdm
label_desc: Use image node_id 5 for calling the ImageNetBase obj's underlying member method code with example usage: obj._filter_relpaths(relpaths) and returns: files, relpaths