OpenCV是计算机视觉中经典的专用库，其支持多语言、跨平台，功能强大。

OpenCV-Python为OpenCV提供了Python接口，使得使用者在Python中能够调用C/C++，在保证易读性和运行效率的前提下，实现所需的功能。

OpenCV-Python Tutorials是官方提供的文档，其内容全面、简单易懂，使得初学者能够快速上手使用。

OpenCV-Python Tutorials官方文档：OpenCV: OpenCV-Python Tutorials

学习网址OpenCV中文官方文档

参考上一篇博客下载opencv模块包才能开始使用

代码结构：

 车牌识别代码

import cv2img = cv2.imread("./img/cp.png")
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.imshow("gray", img_gray)
cv2.waitKey(0)img_thre = img_gray
cv2.threshold(img_gray, 100, 255, cv2.THRESH_BINARY_INV, img_thre)
cv2.imshow("threshold", img_thre)
cv2.waitKey(0)cv2.imwrite("thre_res.png", img_thre)white = []
black = []
height = img_thre.shape[0]
width = img_thre.shape[1]
white_max = 0
black_max = 0for i in range(width):s = 0t = 0for j in range(height):if img_thre[j][i] == 255:s += 1if img_thre[j][i] == 0:t += 1white_max = max(white_max, s)black_max = max(black_max, t)white.append(s)black.append(t)print(s)print(t)arg = False
if black_max > white_max:arg = Truedef find_end(start_):end_ = start_ + 1for m in range(start_ + 1, width - 1):if (black[m] if arg else white[m]) > (0.95 * black_max if argelse 0.95 * white_max):end_ = mbreakreturn end_n = 1
start = 1
end = 2
while n < width - 2:n += 1if (white[n] if arg else black[n]) > (0.05 * white_max if argelse 0.05 * black_max):start = nend = find_end(start)n = endif end - start > 5:cj = img_thre[1:height, start:end]cv2.imshow("caijian", cj)cv2.waitKey(0)

查看效果：

 

 

 

 

 

 

 

 可以全提取出来

 

代码精度不高可以自己研究不断完善