Python Tensorflow对象检测：计算边界框和报警区域之间的距离

我正在使用CV2捕获视频，并在视频帧中定义感兴趣的区域

cap = cv2.VideoCapture(0)
image_np = cap.read()    
pts = np.array([[57,69], [215,65], [270,476], [3,476]], np.int32)
cv2.polylines(image_np,[pts], isClosed = True, color=(255, 0, 0), thickness=2)

在定义了上述感兴趣的区域后，每当我的对象检测模型检测到带有方框的对象时，一旦它进入定义的区域，我需要发出警报。我怎么能接受这个？以下是tensorflow异议回购协议的功能

def show_inference(model, image_path):
  # the array based representation of the image will be used later in order to prepare the
  # result image with boxes and labels on it.
  image_np = np.array(Image.open(image_path))
  # Actual detection.
  output_dict = run_inference_for_single_image(model, image_np)
  # Visualization of the results of a detection.
  vis_util.visualize_boxes_and_labels_on_image_array(
      image_np,
      output_dict['detection_boxes'],
      output_dict['detection_classes'],
      output_dict['detection_scores'],
      category_index,
      instance_masks=output_dict.get('detection_masks_reframed', None),
      use_normalized_coordinates=True,
      line_thickness=8)
  display(Image.fromarray(image_np))

我将在后面定义一个函数，它可以像下面这样给我提示

if (distance_from_polygon <= 0) :
   posii=int(image_np.shape[1]/2)        
   cv2.putText(image_np, "ALERT", (posii, 50),cv2.FONT_HERSHEY_SIMPLEX, 0.75, (255, 0,0), 2)
   playsound(r"C:\Project\alert.wav")
   cv2.rectangle(image_np, (posii-20,20), (posii+85,60), (255,0,0), thickness=3, lineType=8, shift=0)           
        return 1
    else:
       return 0

if（从多边形到多边形的距离