Python - OpenCV stereoCalibrate（）太manu值来解压缩

Question

我正在使用OpenCV进行立体声校准。我已经对各个相机进行了校准。对于以下代码段：

ret, rot, trans, ess, fund = cv2.stereoCalibrate(objectPoints=objpoints,
                                                 imagePoints1=imgpoints1,
                                                 imagePoints2=imgpoints2,
                                                 cameraMatrix1=mtx1,
                                                 distCoeffs1=dist1,
                                                 cameraMatrix2=mtx2,
                                                 distCoeffs2=dist2,
                                                 imageSize=gray1.shape[::-1],
                                                 flags=cv2.CALIB_FIX_INTRINSIC)

我收到错误：

Traceback (most recent call last):
   File "stereoCalibration.py", line 94, in <module>
  flags=cv2.CALIB_FIX_INTRINSIC)
ValueError: too many values to unpack (expected 5)

但我左手边已经有五个变量了。根据此documentation，函数cv2.stereoCalibrate()应在flags=cv2.CALIB_FIX_INTRINSIC时返回5个值。

  

Python：cv2.stereoCalibrate（objectPoints，imagePoints1，imagePoints2，cameraMatrix1，distCoeffs1，cameraMatrix2，distCoeffs2，imageSize [，R [，T [，E [，F [，flags [，criteria]]]]]]→→ retval，cameraMatrix1，distCoeffs1，cameraMatrix2，distCoeffs2，R，T，E，F

和

  

CV_CALIB_FIX_INTRINSIC修复cameraMatrix？和distCoeffs？所以只估算R，T，E和F矩阵。

PS：我发现了这个answer，但它不适用于cv2。

Answer 1

如果您将cv2.stereoCalibrate()的返回值分配给list并检查值的数量，则可以了解它是否确实返回了5个值或其他值。这样您就可以修复接收变量并相应地调整代码。