code: def find_images_classification(root, dataset, set):
      path_labels = os.path.join(
          root, "VOCdevkit", dataset, "ImageSets", "Main"
      )
      images = []
      file = os.path.join(path_labels, set + ".txt")
      with open(file, "r") as f:
          for line in f:
              images.append(line)
      return images
  
imports: from __future__ import print_function, division, absolute_import
  import csv
  import os
  import os.path
  import tarfile
  from six.moves.urllib.parse import urlparse
  import numpy
  import torch
  import torch.utils.data
  from PIL import Image
  from .None import utils
label_desc: Use image node_id 5 for calling a global function with example usage: find_images_classification(root, dataset, set) and returns: images