Mentioned in doc if a function is parallelized with the TBB library (issue #421)

This commit is contained in:
Ilya Lysenkov
2012-04-13 15:31:18 +00:00
parent 74cc370c74
commit 2f44610ef3
13 changed files with 28 additions and 11 deletions

View File

@@ -616,7 +616,7 @@ Finds an object pose from 3D-2D point correspondences using the RANSAC scheme.
:param flags: Method for solving a PnP problem (see :ocv:func:`solvePnP` ).
The function estimates an object pose given a set of object points, their corresponding image projections, as well as the camera matrix and the distortion coefficients. This function finds such a pose that minimizes reprojection error, that is, the sum of squared distances between the observed projections ``imagePoints`` and the projected (using
:ocv:func:`projectPoints` ) ``objectPoints``. The use of RANSAC makes the function resistant to outliers.
:ocv:func:`projectPoints` ) ``objectPoints``. The use of RANSAC makes the function resistant to outliers. The function is parallelized with the TBB library.
@@ -1127,8 +1127,7 @@ Computes disparity using the BM algorithm for a rectified stereo pair.
:param state: The pre-initialized ``CvStereoBMState`` structure in the case of the old API.
The method executes the BM algorithm on a rectified stereo pair. See the ``stereo_match.cpp`` OpenCV sample on how to prepare images and call the method. Note that the method is not constant, thus you should not use the same ``StereoBM`` instance from within different threads simultaneously.
The method executes the BM algorithm on a rectified stereo pair. See the ``stereo_match.cpp`` OpenCV sample on how to prepare images and call the method. Note that the method is not constant, thus you should not use the same ``StereoBM`` instance from within different threads simultaneously. The function is parallelized with the TBB library.