code: def test_image(image_to_check, model, upsample):
      unknown_image = face_recognition.load_image_file(image_to_check)
      face_locations = face_recognition.face_locations(
          unknown_image,
          number_of_times_to_upsample=upsample,
          model=model,
      )
  
      for face_location in face_locations:
          print_result(image_to_check, face_location)
  
file_path: face_recognition/face_recognition/face_detection_cli.py
imports: from __future__ import print_function
  import click
  import os
  import re
  import face_recognition.api
  import multiprocessing
  import sys
  import itertools
label_desc: Use image node_id 2 for calling a global function with example usage: test_image(image_to_check, model, upsample) without return types