code: def __getitem__(self, item):
      id = int(self.items[item])
      name = f"{id:0>7d}.png"
  
      # Open image and label
      image_path = os.path.join(self.image_filepath, name)
      gt_image_path = os.path.join(self.gt_filepath, name)
      image = Image.open(image_path).convert("RGB")
      gt_image = imageio.imread(gt_image_path, format="PNG-FI")[:, :, 0]
      gt_image = Image.fromarray(np.uint8(gt_image))
  
      # Augmentations
      if (
          self.split == "train"
          or self.split == "trainval"
          or self.split == "all"
      ) and self.training:
          image, gt_image = self._train_sync_transform(image, gt_image)
      else:
          image, gt_image = self._val_sync_transform(image, gt_image)
      return image, gt_image, item
  
file_path: PaddleSeg/contrib/DomainAdaptation/datasets/synthia.py
imports: import os
  import imageio
  import numpy
  from PIL import Image
  from datasets.cityscapes_noconfig import CityDataset, to_tuple
label_desc: Use image node_id 2 for calling the SYNTHIADataset obj's underlying member method code with example usage: obj.__getitem__(item) and returns: image,  gt_image,  item