自学教程：opencv实现回形遍历像素算法

# -*- coding:utf-8 -*-import cv2import numpy as np cv2.namedWindow('img', 0)  def traversePixelByCycloidLine(image): """ 从一副灰度图像的中心开始向边缘按回形线的方式遍历所有像素，每个像素只能访问一次。 我目前实现了基本的算法, 但存在以下问题: 1) 只支持方阵, 且行列为奇数 2) 只实现, 代码没整理 """  h, w = image.shape[:2]  assert h == w and h % 2 == 1, '只支持方阵, 且行列为奇数'  center_x, center_y = [w // 2, h // 2]  traverse_num = h * w  cycloid_num = 0 value = 1 while True:   for i in range(cycloid_num * 2 + 1):   if value >= traverse_num:    return image   center_x = center_x + 1   image[center_y, center_x] = 255   value += 1   cv2.imshow('img', image)   cv2.waitKey(33)   for i in range(cycloid_num * 2 + 1):   if value >= traverse_num:    return image   center_y = center_y + 1   image[center_y, center_x] = 255   value += 1   cv2.imshow('img', image)   cv2.waitKey(33)   for i in range(cycloid_num * 2 + 2):   if value >= traverse_num:    return image   center_x = center_x - 1   image[center_y, center_x] = 255   value += 1   cv2.imshow('img', image)   cv2.waitKey(33)   for i in range(cycloid_num * 2 + 2):   if value >= traverse_num:    return image   center_y = center_y - 1   image[center_y, center_x] = 255   value += 1   cv2.imshow('img', image)   cv2.waitKey(33)  cycloid_num += 1  image_wh = 11 while True: image = np.zeros((image_wh, image_wh, 3), dtype=np.uint8) traversePixelByCycloidLine(image)