for i in list(bbox_res):
                        print(i)
                        print(i['bbox'])
                        print([int(x) for x in i['bbox']])
                        li=[int(x) for x in i['bbox']]
                        # if li[0]>li[2] and li[1]>li[3]:
                        #     li[0], li[2] = li[2], li[0]
                        #     li[1], li[3] = li[3], li[1]
                        # if li[0]<li[2] and li[1]<li[3]:
                            
                        
                            # 将图片转换为NumPy数组
                            # image_array = np.array(zero_im)
                        image_array = np.array(image)
                        if len(li) == 4:
                            # draw bbox
                            xmin, ymin, w, h = li
                            xmax = xmin + w
                            ymax = ymin + h
                            # draw.line(
                            #     [(xmin, ymin), (xmin, ymax), (xmax, ymax), (xmax, ymin),
                            #      (xmin, ymin)],
                            #     width=2,
                            #     fill=color)
                        elif len(li) == 8:
                            x1, y1, x2, y2, x3, y3, x4, y4 = li
                            # draw.line(
                            #     [(x1, y1), (x2, y2), (x3, y3), (x4, y4), (x1, y1)],
                            #     width=2,
                            #     fill=color)
                            xmin = min(x1, x2, x3, x4)
                            ymin = min(y1, y2, y3, y4)
                            xmax = max(x1, x2, x3, x4)  
                            ymax = max(y1, y2, y3, y4)
                        else:
                            logger.error('the shape of bbox must be [M, 4] or [M, 8]!')

                        # 定义你的区域坐标
                        x1, y1, x2, y2 = xmin,ymin,xmax,ymax

                        # 将指定区域的像素值设置为True
                        region_matrix[y1:y2, x1:x2] = True
                        # 使用遮罩数组来设置图像数组的像素值
                        

                        # 将布尔矩阵转换为uint8矩阵，以便与原始图片的像素值兼容
                        # region_matrix1 = region_matrix.astype(np.uint8) * 255

                        # 将修改后的数组转换回图片
                        # new_image = Image.fromarray(region_matrix1)

                        # 显示新的图片
                    image_array[region_matrix == False] = 0
                    result_image = Image.fromarray(image_array)
                    # 显示结果图像
                    result_image.show()