无法为自定义对象检测应用程序在图像中生成物体周围的边框

无法了解如何在图像中对象周围绘制边框以用于自定义对象检测应用程序。

生成边框的示例代码：

For box in boxes:   
  #Pick a confidence factor from the last place in an array.    
   conf=box[-1]   
   If conf > threshold:  
     #Convert float to int and multiply corner position of each box by x and y ration.    
     #If the bounding box is found that the top of the image  
     #Position the upper box bar little lower to make it visible on the image    
    (x_min, y_min, x_max, y_max) = [
        int (max(corner_position*ratio_y, 10)) if idx%2
        else int (corner_position*ratio_x)
        for idx, corner_position in enumerate(box[:-1])  

    #Draw a box base on the position, parameters in rectangle function are: image,start_point, end_point, color, thickness.
   rgb_image = cv2.rectangle(rgb_image, (x_min,y_min), (x_max,y_max), 
       colors["green"], 3)

请参阅 Object Detection Python* 演示 源代码，了解OpenVINO™推断引擎 API 用于创建边框的用法以及该模型的处理方法。