find and crop faces in an image using google vision API

faceCrop.py

def detect_face(face_file, max_results=4):
    client = vision.ImageAnnotatorClient()
    content = face_file.read()
    image = types.Image(content=content)
    return client.face_detection(image=image, max_results=max_results).face_annotations
  

def crop_faces(image_to_crop, cropped_photos_dir):   
    with open(image_to_crop, 'rb') as image:
        faces = detect_face(image, 8)
        
    im = Image.open(image_to_crop)

    for idx,face in enumerate(faces):
      vects = face.fd_bounding_poly.vertices
      im2 = im.crop([vects[0].x, vects[0].y,
                  vects[2].x - 1, vects[2].y - 1])
      original_image_name = os.path.basename(image_to_crop)
      cropped_image_name = os.fsdecode(os.path.splitext(original_image_name)[0]) + "_face_" +str(idx) +".jpg"
      cropped_image_path = os.path.join(os.fsencode(cropped_photos_dir),os.fsencode(cropped_image_name))
      im2.save(cropped_image_path, 'JPEG')