opencv 摄像机标定的实现

原图

矫正后

我新建了个jz的文件夹放相机矫正所需要拍摄的图片，如下：共12张

# coding:utf-8import cv2import numpy as npimport glob# 找棋盘格角点# 阈值criteria = (cv2.term_criteria_eps + cv2.term_criteria_max_iter, 30, 0.001)# 棋盘格模板规格 从0开始计算w = 9h = 6# 世界坐标小学运动会班级口号系中的棋盘格点,例如(0,0,0), (1,0,0), (2,0,0) ....,(8,5,0)，去掉z坐标，记为二维矩阵objp = np.zeros((w * h, 3), np.float32)objp[:, :2] = np.mgrid[0:w, 0:h].t.reshape(-1, 2)# 储存棋盘格角点的世界坐标和图像坐标对objpoints = []  # 在世界坐标系中的三维点imgpoints = []  # 在图像平面的二维点# 匹配读取文件夹内的特定文件images = glob.glob('jz/*.jpg')for fname in images:    img = cv2.imread(fname)    gray = cv2.cvtcolor(img, cv2.color_bgr2gray)# 找到棋盘格角点    ret, corners = cv2.findchessboardcorners(gray, (w, h), none)    # 将角点在图像上显示    cv2.drawchessboardcorners(img, (w, h), corners, ret)    cv2.imshow('findcorners', img)    cv2.waitkey(500)  流淌的近义词  cv2.destroyallwindows()    # 如果找到足够点对，将其存储起来    if ret == true:        cv2.cornersubpix(gray, corners, (11, 11), (-1, -1), c人才培养目标riteria)        objpoints.append(objp)        imgpoints.append(corners)# 标定ret, mtx, dist, rvecs, tvecs = cv2.calibratecamera(objpoints, imgpoints, gray.shape[::-1], none, none侠骨仁心电视剧)# 在应用时，将下面两个写死print(mtx)print(dist)# 去畸变img2 = cv2.imread('77.jpg')h, w = img2.shape[:2]newcameramtx, roi = cv2.getoptimalnewcameramatrix(mtx, dist, (w, h), 0, (w, h))  # 自由比例参数dst = cv2.undistort(img2, mtx, dist, none, newcameramtx)# 根据前面roi区域裁剪图片# x,y,w,h = roi# dst = dst[y:y+h, x:x+w]cv2.imwrite('1.jpg', dst)cv2.imshow('findcorners', dst)cv2.wai摩擦力符号tkey(0)cv2.destroyallwindows()

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