text: import torch
  
  # Model
  model = torch.hub.load('ultralytics/yolov5', 'yolov5s')  # or yolov5m, yolov5l, yolov5x, custom
  
  # Images
  # img = 'https://ultralytics.com/images/zidane.jpg'  # or file, Path, PIL, OpenCV, numpy, list
  # img = 'images/3b.jpg'
  img = 'images/5.jpg'
  
  # Inference
  results = model(img)
  
  # Results
  results.print()  # or .show(), .save(), .crop(), .pandas(), etc.
  
  results.show()
  
  results.save()