From 0922b3f3bee413488400e2f445a2f27750fd3557 Mon Sep 17 00:00:00 2001 From: Alexander Shishkov Date: Mon, 19 Dec 2011 17:45:07 +0000 Subject: [PATCH] fixed Python description of estimateAffine3D function --- .../calib3d/doc/camera_calibration_and_3d_reconstruction.rst | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst index 4d4c130c6d..7eb16235c5 100644 --- a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst +++ b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst @@ -739,8 +739,7 @@ Computes an optimal affine transformation between two 3D point sets. .. ocv:function:: int estimateAffine3D(InputArray srcpt, InputArray dstpt, OutputArray out, OutputArray inliers, double ransacThreshold = 3.0, double confidence = 0.99) -.. ocv:pyfunction:: cv2.estimateAffine3D(_from, _to[, _out[, _inliers[, param1[, param2]]]]) -> retval, _out, _inliers -.. ocv:pyfunction:: cv2.estimateAffine3D(from, to[, dst[, outliers[, param1[, param2]]]]) -> retval, dst, outliers +.. ocv:pyfunction:: cv2.estimateAffine3D(srcpt, dstpt[, out[, inliers[, ransacThreshold[, confidence]]]]) -> retval, out, inliers :param srcpt: First input 3D point set.