def chose_licence_plate(contours, Min_Area=2000): temp_contours = [] for contour in contours: if cv2.contourArea(contour) > Min_Area: temp_contours.append(contour) car_plate = [] for temp_contour in temp_contours: rect_tupple = cv2.minAreaRect(temp_contour) rect_width, rect_height = rect_tupple[1] if rect_width < rect_height: rect_width, rect_height = rect_height, rect_width aspect_ratio = rect_width / rect_height # 车牌正常情况下宽高比在2 - 5.5之间 if aspect_ratio > 2 and aspect_ratio < 5.5: car_plate.append(temp_contour) rect_vertices = cv2.boxPoints(rect_tupple) rect_vertices = np.int0(rect_vertices) return car_plate。 能详细解释这段代码吗

这段代码是一个函数，名为chose_licence_plate，它的作用是从一组轮廓中选择出符合条件的车牌轮廓。其中，参数contours是输入的轮廓列表，Min_Area是最小面积阈值，默认为2000。函数首先对输入的轮廓进行筛选，只保留面积大于Min_Area的轮廓，然后对这些轮廓进行进一步处理，计算其最小外接矩形的宽高比，如果宽比高小，则交换宽高比，最后将符合条件的车牌轮廓保存在car_plate列表中。