code: def __getitem__(self, idx):
      if self.mode == "test":
          image_path, label_path = self.file_list[idx]
          im, _ = self.transforms(im=image_path)
          im = im[np.newaxis, ...]
          return im, image_path
      elif self.mode == "val":
          image_path, label_path = self.file_list[idx]
          im, _ = self.transforms(im=image_path)
          label = np.asarray(Image.open(label_path))
          label = label[np.newaxis, :, :]
          return im, label
      else:
          if idx >= self.num_files:
              image_path, label_path = self.coarse_file_list[
                  idx - self.num_files
              ]
          else:
              image_path, label_path = self.file_list[idx]
  
          im, label = self.transforms(im=image_path, label=label_path)
          return im, label
  
file_path: PaddleSeg/contrib/CityscapesSOTA/datasets/cityscapes_autolabeling.py
imports: import os
  import glob
  import random
  import paddle
  import numpy
  from PIL import Image
  from paddleseg.cvlibs import manager
  from paddleseg.transforms import Compose
label_desc: Use image node_id 2 for calling the CityscapesAutolabeling obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: im,  image_path, im,  label, im,  label