问题描述
我正在尝试进行opencv图像校准并纠正失真。它可以正常工作,但不会给我带来意外的结果。
下面的图片是'2.jpg'
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),(1,(2,0) ....,(6,5,0)
objp = np.zeros((4*7,3),np.float32)
objp[:,:2] = np.mgrid[0:7,0:4].T.reshape(-1,2)
# 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.
fname = '2.jpg'
img = cv2.imread(fname)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
# Find the chess board corners
ret,corners = cv2.findChessboardCorners(gray,(7,4),None)
# If found,add object points,image points (after refining them)
if ret == True:
objpoints.append(objp)
corners2 = cv2.cornerSubPix(gray,corners,(11,11),(-1,-1),criteria)
imgpoints.append(corners2)
img = cv2.drawChessboardCorners(img,corners2,ret)
ret,mtx,dist,rvecs,tvecs = cv2.calibrateCamera(objpoints,imgpoints,gray.shape[::-1],None,None)
img = cv2.imread('2.jpg')
h,w = img.shape[:2]
newcameramtx,roi = cv2.getoptimalNewCameraMatrix(mtx,(w,h),1,h))
mapx,mapy = cv2.initUndistortRectifyMap(mtx,newcameramtx,5)
dst = cv2.remap(img,mapx,mapy,cv2.INTER_LINEAR)
# crop the image
x,y,w,h = roi
dst = dst[y:y + h,x:x + w]
cv2.imwrite('calibresult.png',dst)
解决方法
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