我对openCV的 cv2.solvePnP
函数有问题。此功能用于获得国际象棋板的姿势估计。在以下代码之后,我会收到一个错误:
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)
错误说:
ret,旋转向量,翻译向量,inliers = cv2.solvepnp(objp,corners2,矩阵,失真) ValueError:没有足够的值解开包装(预期4,GoT 3)
来自opencv2文档:
Python: cv2.solvePnP(objectPoints, imagePoints, cameraMatrix, distCoeffs[, rvec[, tvec[, useExtrinsicGuess[, flags]]]]) → retval, rvec, tvec¶
所以只有3个值可以解开包装。
因此,您应该能够解决:
ret, rotationVectors, translationVectors =
cv2.solvePnP(objp, corners2, matrix, distortion)
作为solvepnp()仅返回retval
,rvec
和tvec
。