code: def __getitem__(self, idx) -> Tuple[torch.Tensor, torch.Tensor]:
      if idx >= self.__nsamples:
          raise IndexError("Index out of range.")
      image_path = self.__images_paths[idx]
      label = self.labels[idx].copy()
      image, label = self.__load_data(image_path, label)
      return image, label
  
imports: import os
  import warnings
  from typing import Tuple, List
  import cv2
  import numpy
  import torch
  from torch.utils.data import Dataset
  from torchvision import transforms
  from ....yolov3.utils import prepare_image
label_desc: Use image node_id 4 for calling the LoadImagesAndLabels obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: image,  label