text: from PIL import Image
  import face_recognition
  
  # Load the jpg file into a numpy array
  image = face_recognition.load_image_file("biden.jpg")
  
  # Find all the faces in the image using the default HOG-based model.
  # This method is fairly accurate, but not as accurate as the CNN model and not GPU accelerated.
  # See also: find_faces_in_picture_cnn.py
  face_locations = face_recognition.face_locations(image)
  
  print("I found {} face(s) in this photograph.".format(len(face_locations)))
  
  for face_location in face_locations:
  
      # Print the location of each face in this image
      top, right, bottom, left = face_location
      print("A face is located at pixel location Top: {}, Left: {}, Bottom: {}, Right: {}".format(top, left, bottom, right))
  
      # You can access the actual face itself like this:
      face_image = image[top:bottom, left:right]
      pil_image = Image.fromarray(face_image)
      pil_image.show()
  