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 __init__(self, label_path: str) -> None:
      self.__model = torchvision.models.densenet121(pretrained=False)
      self.__classes = self.__load_classes(label_path)
      self.__has_loaded_weights = False
      self.__device = "cuda" if torch.cuda.is_available() else "cpu"
      self.__model_path = ""
  
file_path: ImageAI/imageai/densenet121/__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 1 to create a new DenseNet121Pretrained object  with example: obj = DenseNet121Pretrained(label_path)