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我正在使用opencv python進行攝像機標定。我已經找到了相機矩陣使用cv2.calibratecamera功能，但攝像頭矩陣是不同勢對不同勢圖像 這就是我using-使用opencv進行攝像機標定
import numpy as np
import cv2
import glob
# termination criteria
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
# prepare object points, like (0,0,0), (1,0,0), (2,0,0) ....,(6,5,0)
objp = np.zeros((7 * 7, 3), np.float32)
objp[:, :2] = np.mgrid[0:7, 0:7].T.reshape(-1, 2)
#objp = objp*(2.4625)
# Arrays to store object points and image points from all the images.
objpoints = [] # 3d point in real world space
imgpoints = [] # 2d points in image plane.
images = glob.glob('*.jpg')
print('hello')
for r12 in images:
img = cv2.imread('r12.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Find the chess board corners
ret, corners = cv2.findChessboardCorners(gray, (7, 7), None)
# If found, add object points, image points (after refining them)
if ret:
objpoints.append(objp)
print('yes')
cv2.cornerSubPix(gray, corners, (11, 11), (-1, -1), criteria)
imgpoints.append(corners)
# Draw and display the corners
cv2.drawChessboardCorners(img, (7, 7), corners, ret)
cv2.imshow('img', img)
cv2.waitKey(500)
ret, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(objpoints, imgpoints, gray.shape[::-1],None,None)
#np.savez('coefficientsr',cameramatrixr = mtx,distcoeffsr = dist,rotationalvectorsr = rvecs,translationalvectorsr = tvecs)
print(mtx)
print(dist)
cv2.destroyAllWindows()