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stereo calibration needs several image pairs, it does not work with a single pair.

objectPoints should contain vector of vectors of points of type Point3f

so, for each pair of chessboard images, you need to append a list of points for both object and imagepts.

(tl;dr: you need another pair of [] around it)

stereo calibration needs several image pairs, it does not work with a single pair.

objectPoints should contain vector of vectors of points of type Point3f

so, for each pair of chessboard images, you need to append a list of points for both object and imagepts.

(tl;dr: you need another pair of [] around it)

stereo calibration needs several image pairs, it does not work with a single pair.

objectPoints should contain vector of vectors of points of type Point3f

so, for each pair of chessboard images, you need to append a list of points for both object and imagepts.

(tl;dr: you need another pair of [] around it)

then:

• you need more image pairs, variation in pose and distance. make iew sure to have the corners of the view covered, bc. lens distortion is largest there.
• you must check the ret value from findChessboardCorners()and discard the whole pair, if it did not find all the corners in both images