code: def __init__(self, model_path: str, device: Optional[str] = None):
      if (
          device is not None
          and "cuda" in device
          and not torch.cuda.is_available()
      ):
          raise Exception(
              "Selected device='cuda', but cuda is not available to Pytorch."
          )
      # automatically set device if its None
      elif device is None:
          device = "cuda:0" if torch.cuda.is_available() else "cpu"
  
      if not os.path.exists(model_path):
          os.system(
              f"wget https://github.com/WongKinYiu/yolov7/releases/download/v0.1/{os.path.basename(model_path)} -O {model_path}"
          )
  
      # load model
      try:
          self.model = torch.hub.load(
              "WongKinYiu/yolov7", "custom", model_path
          )
      except:
          raise Exception(
              "Failed to load model from {}".format(model_path)
          )
  
file_path: norfair/demos/yolov7/src/demo.py
imports: import argparse
  import os
  from typing import List, Optional, Union
  import numpy
  import torch
  import torchvision.ops.boxes
  import norfair
  from norfair import Detection, Paths, Tracker, Video
label_desc: Use image node_id 1 to create a new YOLO object  with example: obj = YOLO(model_path, device)