code: def __getitem__(self, index):
      img, target = self.reader[index]
  
      try:
          img = img.read() if self.load_bytes else Image.open(img)
      except Exception as e:
          _logger.warning(
              f"Skipped sample (index {index}, file {self.reader.filename(index)}). {str(e)}"
          )
          self._consecutive_errors += 1
          if self._consecutive_errors < _ERROR_RETRY:
              return self.__getitem__((index + 1) % len(self.reader))
          else:
              raise e
      self._consecutive_errors = 0
  
      if self.input_img_mode and not self.load_bytes:
          img = img.convert(self.input_img_mode)
      if self.transform is not None:
          img = self.transform(img)
  
      if target is None:
          target = -1
      elif self.target_transform is not None:
          target = self.target_transform(target)
  
      return img, target
  
imports: import io
  import logging
  from typing import Optional
  import torch
  import torch.utils.data
  from PIL import Image
  from .readers import create_reader
label_desc: Use image node_id 2 for calling the ImageDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: img,  target, self