code: def __getitem__(self, item) -> Dict:
      im_arr = load_image(
          self.image_files[item], target_size=None, grayscale=None
      )
      if im_arr is not None:
          img = self.basenet_preprocess(im_arr)
          return {"image": img, "filename": self.image_files[item]}
      else:
          return {"image": None, "filename": self.image_files[item]}
  
file_path: imagededup/imagededup/utils/data_generator.py
imports: from pathlib import PurePath
  from typing import Dict, Callable, Optional, List, Tuple
  import numpy
  import torch
  from torch.utils.data import Dataset, DataLoader
  from imagededup.utils.image_utils import load_image
  from imagededup.utils.general_utils import generate_files
label_desc: Use image node_id 3 for calling the ImgDataset obj's underlying member method code with example usage: obj.__getitem__(item) and returns: dict, dict