code: def __getitem__(self, index):
      path, target = self.images[index]
      img = Image.open(
          os.path.join(self.path_images, path + ".jpg")
      ).convert("RGB")
      if self.transform is not None:
          img = self.transform(img)
      if self.target_transform is not None:
          target = self.target_transform(target)
      return img, path, target
  
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 2 for calling the Voc2007Classification obj's underlying member method code with example usage: obj.__getitem__(index) and returns: img,  path,  target