Like mentioned by Andrei Pavlenko after merging pullrequest #1206, a wrong
ReST directive was used. Also fixed some other ReST directives that were not correct and removed some warnings during buildbot checks.
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@@ -105,16 +105,16 @@ The functions below use the above model to do the following:
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* Estimate the relative position and orientation of the stereo camera "heads" and compute the *rectification* transformation that makes the camera optical axes parallel.
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.. Sample code::
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.. note::
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* : A calibration sample for 3 cameras in horizontal position can be found at opencv_source_code/samples/cpp/3calibration.cpp
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* : A calibration sample based on a sequence of images can be found at opencv_source_code/samples/cpp/calibration.cpp
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* : A calibration sample in order to do 3D reconstruction can be found at opencv_source_code/samples/cpp/build3dmodel.cpp
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* : A calibration sample of an artificially generated camera and chessboard patterns can be found at opencv_source_code/samples/cpp/calibration_artificial.cpp
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* : A calibration example on stereo calibration can be found at opencv_source_code/samples/cpp/stereo_calib.cpp
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* : A calibration example on stereo matching can be found at opencv_source_code/samples/cpp/stereo_match.cpp
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* A calibration sample for 3 cameras in horizontal position can be found at opencv_source_code/samples/cpp/3calibration.cpp
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* A calibration sample based on a sequence of images can be found at opencv_source_code/samples/cpp/calibration.cpp
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* A calibration sample in order to do 3D reconstruction can be found at opencv_source_code/samples/cpp/build3dmodel.cpp
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* A calibration sample of an artificially generated camera and chessboard patterns can be found at opencv_source_code/samples/cpp/calibration_artificial.cpp
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* A calibration example on stereo calibration can be found at opencv_source_code/samples/cpp/stereo_calib.cpp
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* A calibration example on stereo matching can be found at opencv_source_code/samples/cpp/stereo_match.cpp
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* : PYTHON : A camera calibration sample can be found at opencv_source_code/samples/python2/calibrate.py
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* (Python) A camera calibration sample can be found at opencv_source_code/samples/python2/calibrate.py
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calibrateCamera
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---------------
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@@ -588,9 +588,9 @@ Finds an object pose from 3D-2D point correspondences.
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The function estimates the object pose given a set of object points, their corresponding image projections, as well as the camera matrix and the distortion coefficients.
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.. Sample code::
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.. note::
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* : An example of how to use solvePNP for planar augmented reality can be found at opencv_source_code/samples/python2/plane_ar.py
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* An example of how to use solvePNP for planar augmented reality can be found at opencv_source_code/samples/python2/plane_ar.py
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solvePnPRansac
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------------------
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@@ -777,9 +777,9 @@ Homography matrix is determined up to a scale. Thus, it is normalized so that
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:ocv:func:`warpPerspective`,
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:ocv:func:`perspectiveTransform`
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.. Sample code::
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.. note::
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* : A example on calculating a homography for image matching can be found at opencv_source_code/samples/cpp/video_homography.cpp
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* A example on calculating a homography for image matching can be found at opencv_source_code/samples/cpp/video_homography.cpp
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estimateAffine3D
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--------------------
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@@ -1088,7 +1088,7 @@ The class is a C++ wrapper for the associated functions. In particular, :ocv:fun
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.. Sample code:
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* : OCL : An example for using the stereoBM matching algorithm can be found at opencv_source_code/samples/ocl/stereo_match.cpp
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(Ocl) An example for using the stereoBM matching algorithm can be found at opencv_source_code/samples/ocl/stereo_match.cpp
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StereoBM::StereoBM
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------------------
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@@ -1188,9 +1188,9 @@ The class implements the modified H. Hirschmuller algorithm [HH08]_ that differs
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* Some pre- and post- processing steps from K. Konolige algorithm :ocv:funcx:`StereoBM::operator()` are included, for example: pre-filtering (``CV_STEREO_BM_XSOBEL`` type) and post-filtering (uniqueness check, quadratic interpolation and speckle filtering).
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.. Sample code::
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.. note::
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* : PYTHON : An example illustrating the use of the StereoSGBM matching algorithm can be found at opencv_source_code/samples/python2/stereo_match.py
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* (Python) An example illustrating the use of the StereoSGBM matching algorithm can be found at opencv_source_code/samples/python2/stereo_match.py
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StereoSGBM::StereoSGBM
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--------------------------
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