c/c++语言开发共享opencv 摄像机标定的实现

# coding:utf-8  import cv2  import numpy as np  import 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 = 9  h = 6  # 世界坐标系中的棋盘格点,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)      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), criteria)          objpoints.append(objp)          imgpoints.append(corners)      # 标定  ret, mtx, dist, rvecs, tvecs = cv2.calibratecamera(objpoints, imgpoints, gray.shape[::-1], none, none)    # 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.waitkey(0)  cv2.destroyallwindows()