我在使用OpenCV中的cv2.solvePnP
函数时遇到问题。此功能用于获取棋盘的姿势估计。在以下代码之后,我得到一个错误:
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)
错误提示:
最佳答案
Python: cv2.solvePnP(objectPoints, imagePoints, cameraMatrix, distCoeffs[, rvec[, tvec[, useExtrinsicGuess[, flags]]]]) → retval, rvec, tvec¶
因此,只有3个值需要解压。
因此,您应该能够解决:
ret, rotationVectors, translationVectors =
cv2.solvePnP(objp, corners2, matrix, distortion)
由于solvePnP()仅返回
retval
,rvec
和tvec
。关于python - Python:solvePnP()没有足够的值可解包?,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/45991930/