Unable to Generate Bounding Boxes around Objects in the Image for Custom Object Detection Application

Cannot understand how to draw bounding boxes around objects in the image for custom object detection application.

Example code for generating bounding boxes:

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)

Refer to Object Detection Python* Demo source code to learn the OpenVINO™ Inference Engine API usage for creating bounding boxes and how to handle the model.