class_docstr: An implementation that allows for easy classification of images
  using the state of the art MobileNet computer vision model.
class_docstr_tok: ["An","implementation","that","allows","for","easy","classification","of","images","using","the","state","of","the","art","MobileNet","computer","vision","model","."]
code: def __load_classes(self, path: str) -> List[str]:
      with open(path) as f:
          unique_classes = [c.strip() for c in f.readlines()]
      return unique_classes
  
file_path: ImageAI/imageai/mobilenetv2/__init__.py
imports: import os, warnings
  from pathlib import Path
  from typing import List, Tuple
  import torch, torchvision
  import torch.nn.functional
  from torchvision import transforms
  from PIL import Image
label_desc: Use image node_id 2 for calling the MobileNetV2Pretrained obj's underlying member method code with example usage: obj.__load_classes(path) and returns: unique_classes