code: def __init__(self, datapipe: IterDataPipe[Dict[str, Any]]) -> None:
      self.datapipe = datapipe
  
imports: import pathlib
  from typing import Any, BinaryIO, Dict, Iterator, List, Tuple, Union
  from torchdata.datapipes.iter import Filter, IterDataPipe, Mapper, Zipper
  from torchvision.prototype.datasets.utils import Dataset, EncodedImage, HttpResource, OnlineResource
  from torchvision.prototype.datasets.utils._internal import hint_sharding, hint_shuffling, path_comparator, read_categories_file, read_mat
  from torchvision.prototype.tv_tensors import Label
  from torchvision.tv_tensors import BoundingBoxes
  from .._api import register_dataset, register_info
label_desc: Use image node_id 1 to create a new StanfordCarsLabelReader object from inherited base classes: IterDataPipe with example: obj = StanfordCarsLabelReader(datapipe)