code: def __getitem__(self, item):
      id = self.items[item]
      filename = (
          id.split("train_")[-1].split("val_")[-1].split("test_")[-1]
      )
      image_filepath = os.path.join(
          self.image_filepath, id.split("_")[0], id.split("_")[1]
      )
      image_filename = filename + "_leftImg8bit.png"
      image_path = os.path.join(image_filepath, image_filename)
      image = Image.open(image_path).convert("RGB")
  
      gt_filepath = os.path.join(
          self.gt_filepath, id.split("_")[0], id.split("_")[1]
      )
      gt_filename = filename + "_gtFine_labelIds.png"
      gt_image_path = os.path.join(gt_filepath, gt_filename)
      gt_image = Image.open(gt_image_path)
  
      if (
          self.split == "train" or self.split == "trainval"
      ) and self.training:
          image, gt_image, edge_mask = self._train_sync_transform(
              image, gt_image
          )
          return image, gt_image, edge_mask
      else:
          image, gt_image, edge_mask = self._val_sync_transform(
              image, gt_image
          )
          return image, gt_image, edge_mask, id
  
file_path: PaddleSeg/contrib/DomainAdaptation/datasets/cityscapes_noconfig.py
imports: import os
  import random
  import numpy
  import collections.abc
  from PIL import Image, ImageOps, ImageFilter, ImageFile
  import paddle
  from paddle import io
  import paddleseg.transforms.functional
label_desc: Use image node_id 3 for calling the CityDataset obj's underlying member method code with example usage: obj.__getitem__(item) and returns: image,  gt_image,  edge_mask, image,  gt_image,  edge_mask,  id