通过opencv写一个检测棋盘格内角点的算法

1. 导入必要的库和模块

import cv2
import numpy as np

2. 读取图片并将其转换为灰度图

img = cv2.imread('chessboard.jpg')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

3. 设置棋盘格的行和列数

rows = 6
cols = 7

4. 通过cv2.findChessboardCorners()函数检测棋盘格内角点

ret, corners = cv2.findChessboardCorners(gray, (rows,cols), None)

5. 如果检测到了棋盘格内角点，则将其绘制出来

if ret == True:
    corners2 = cv2.cornerSubPix(gray,corners,(11,11),(-1,-1),criteria)
    img = cv2.drawChessboardCorners(img, (rows,cols), corners2,ret)

完整代码：

import cv2
import numpy as np

img = cv2.imread('chessboard.jpg')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

rows = 6
cols = 7

ret, corners = cv2.findChessboardCorners(gray, (rows,cols), None)

if ret == True:
    criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
    corners2 = cv2.cornerSubPix(gray,corners,(11,11),(-1,-1),criteria)
    img = cv2.drawChessboardCorners(img, (rows,cols), corners2,ret)

cv2.imshow('img',img)
cv2.waitKey(0)
cv2.destroyAllWindows()