我对OpenCV中名为cv2.solvePnP
的函数有疑问。该功能用于获得棋盘的姿势估计。在以下代码之后我收到错误:
for fname in glob.glob('Images/Calibragem/img1*.jpg'):
img = cv2.imread(fname)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret, corners = cv2.findChessboardCorners(gray, (9,6), None)
if ret==True:
corners2=cv2.cornerSubPix(gray,corners,(11,11),(-1,-1), criteria)
#finds the vectors of rotation and translation
ret, rotationVectors, translationVectors, inliers =
cv2.solvePnP(objp, corners2, matrix, distortion)
#projects the 3D points in the image
imgpts,jac = cv2.projectPoints(axis,rotationVectors,translationVectors,matrix,distortion)
imgAxis=drawAxis(img,corners2,imgpts)
cv2.imshow('imgAxis', imgAxis)
cv2.imwrite('imgAxis.png',imgAxis)
错误说:
ret,rotationVectors,translationVectors,inliers = cv2.solvePnP(objp,corners2,matrix,distortion) ValueError:没有足够的值来解包(预期4,得到3)
答案 0 :(得分:1)
Python: cv2.solvePnP(objectPoints, imagePoints, cameraMatrix, distCoeffs[, rvec[, tvec[, useExtrinsicGuess[, flags]]]]) → retval, rvec, tvec¶
所以解压缩只有3个值 所以你应该能够解决:
ret, rotationVectors, translationVectors =
cv2.solvePnP(objp, corners2, matrix, distortion)
由于solvePnP()仅返回retval
,rvec
和tvec
。