Normalized file endings.
This commit is contained in:
Roman Donchenko
parent
f55740da70
commit
e9a28f66ee
2
3rdparty/ffmpeg/readme.txt
vendored
2
3rdparty/ffmpeg/readme.txt
vendored
@ -40,5 +40,3 @@ How to update opencv_ffmpeg.dll and opencv_ffmpeg_64.dll when a new version of F
|
||||
|
||||
8. Then, go to <opencv>\3rdparty\ffmpeg, edit make.bat
|
||||
(change paths to the actual paths to your msys32 and msys64 distributions) and then run make.bat
|
||||
|
||||
|
||||
|
||||
1
3rdparty/libjasper/CMakeLists.txt
vendored
1
3rdparty/libjasper/CMakeLists.txt
vendored
@ -48,4 +48,3 @@ endif()
|
||||
if(NOT BUILD_SHARED_LIBS)
|
||||
install(TARGETS ${JASPER_LIBRARY} ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT main)
|
||||
endif()
|
||||
|
||||
|
||||
1
3rdparty/libtiff/tif_config.h.cmakein
vendored
1
3rdparty/libtiff/tif_config.h.cmakein
vendored
@ -168,4 +168,3 @@
|
||||
|
||||
/* Support Deflate compression */
|
||||
#define ZIP_SUPPORT 1
|
||||
|
||||
|
||||
@ -891,4 +891,3 @@ ocv_finalize_status()
|
||||
if("${CMAKE_CURRENT_SOURCE_DIR}" STREQUAL "${CMAKE_CURRENT_BINARY_DIR}")
|
||||
message(WARNING "The source directory is the same as binary directory. \"make clean\" may damage the source tree")
|
||||
endif()
|
||||
|
||||
|
||||
@ -79,4 +79,3 @@ if(ENABLE_SOLUTION_FOLDERS)
|
||||
set_target_properties(opencv_haartraining PROPERTIES FOLDER "applications")
|
||||
set_target_properties(opencv_haartraining_engine PROPERTIES FOLDER "applications")
|
||||
endif()
|
||||
|
||||
|
||||
@ -100,4 +100,3 @@ int icvGetIdxAt( CvMat* idx, int pos )
|
||||
void icvSave( const CvArr* ptr, const char* filename, int line );
|
||||
|
||||
#endif /* __CVCOMMON_H_ */
|
||||
|
||||
|
||||
@ -376,4 +376,3 @@ int main( int argc, char* argv[] )
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
|
||||
@ -34,4 +34,3 @@ if(ENABLE_SOLUTION_FOLDERS)
|
||||
endif()
|
||||
|
||||
install(TARGETS ${the_target} RUNTIME DESTINATION bin COMPONENT main)
|
||||
|
||||
|
||||
@ -98,4 +98,3 @@ if(NOT BUILD_WITH_DEBUG_INFO AND NOT MSVC)
|
||||
string(REPLACE "/Zi" "" CMAKE_C_FLAGS_DEBUG "${CMAKE_C_FLAGS_DEBUG}")
|
||||
string(REPLACE "/Zi" "" CMAKE_CXX_FLAGS_DEBUG "${CMAKE_C_FLAGS_DEBUG}")
|
||||
endif()
|
||||
|
||||
|
||||
@ -156,4 +156,3 @@ else()
|
||||
set(OpenCV_FOUND FALSE CACHE BOOL "" FORCE)
|
||||
set(OPENCV_FOUND FALSE CACHE BOOL "" FORCE)
|
||||
endif()
|
||||
|
||||
|
||||
@ -22,4 +22,3 @@ if(DEFINED OPENCV_BUILD_3RDPARTY_LIBS)
|
||||
set(BUILD_PNG ${OPENCV_BUILD_3RDPARTY_LIBS} CACHE BOOL "Set via depricated OPENCV_BUILD_3RDPARTY_LIBS" FORCE)
|
||||
unset(OPENCV_BUILD_3RDPARTY_LIBS CACHE)
|
||||
endif()
|
||||
|
||||
|
||||
@ -23,5 +23,3 @@ FOREACH(file ${files})
|
||||
MESSAGE(STATUS "File \"$ENV{DESTDIR}${file}\" does not exist.")
|
||||
ENDIF(EXISTS "$ENV{DESTDIR}${file}")
|
||||
ENDFOREACH(file)
|
||||
|
||||
|
||||
|
||||
@ -163,4 +163,3 @@
|
||||
/* Define to 1 if your processor stores words with the most significant byte
|
||||
first (like Motorola and SPARC, unlike Intel and VAX). */
|
||||
#cmakedefine WORDS_BIGENDIAN
|
||||
|
||||
|
||||
1
doc/_static/insertIframe.js
vendored
1
doc/_static/insertIframe.js
vendored
@ -10,4 +10,3 @@ function insertIframe (elementId, iframeSrc)
|
||||
element.parentNode.replaceChild(iframe, element);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -184,5 +184,3 @@ p = RSTParser()
|
||||
for m in opencv_module_list:
|
||||
print "\n\n*************************** " + m + " *************************\n"
|
||||
p.check_module_docs(m)
|
||||
|
||||
|
||||
|
||||
@ -39,4 +39,3 @@
|
||||
#7 & #8 & #9
|
||||
\end{bmatrix}
|
||||
}
|
||||
|
||||
|
||||
@ -3667,4 +3667,3 @@ class YErrorBars:
|
||||
output.append(LineAxis(x, start, x, end, start, end, bars, False, False, **self.attr).SVG(trans))
|
||||
|
||||
return output
|
||||
|
||||
|
||||
@ -277,4 +277,3 @@ You may observe a runtime instance of this on the `YouTube here <https://www.you
|
||||
<div align="center">
|
||||
<iframe title="File Input and Output using XML and YAML files in OpenCV" width="560" height="349" src="http://www.youtube.com/embed/A4yqVnByMMM?rel=0&loop=1" frameborder="0" allowfullscreen align="middle"></iframe>
|
||||
</div>
|
||||
|
||||
|
||||
@ -127,6 +127,3 @@ You may observe a runtime instance of this on the `YouTube here <https://www.you
|
||||
<div align="center">
|
||||
<iframe title="Interoperability with OpenCV 1" width="560" height="349" src="http://www.youtube.com/embed/qckm-zvo31w?rel=0&loop=1" frameborder="0" allowfullscreen align="middle"></iframe>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
|
||||
@ -100,6 +100,3 @@ Result
|
||||
.. image:: images/Feature_Description_BruteForce_Result.jpg
|
||||
:align: center
|
||||
:height: 200pt
|
||||
|
||||
|
||||
|
||||
|
||||
@ -95,4 +95,3 @@ Result
|
||||
.. image:: images/Feature_Detection_Result_b.jpg
|
||||
:align: center
|
||||
:height: 200pt
|
||||
|
||||
|
||||
@ -146,4 +146,3 @@ Result
|
||||
.. image:: images/Feature_Homography_Result.jpg
|
||||
:align: center
|
||||
:height: 200pt
|
||||
|
||||
|
||||
@ -201,4 +201,3 @@ Learn about how to use the feature points detectors, descriptors and matching f
|
||||
../feature_flann_matcher/feature_flann_matcher
|
||||
../feature_homography/feature_homography
|
||||
../detection_of_planar_objects/detection_of_planar_objects
|
||||
|
||||
|
||||
@ -135,4 +135,3 @@ Here is the result:
|
||||
|
||||
.. image:: images/Corner_Subpixeles_Result.jpg
|
||||
:align: center
|
||||
|
||||
|
||||
@ -37,4 +37,3 @@ Result
|
||||
|
||||
.. image:: images/My_Shi_Tomasi_corner_detector_Result.jpg
|
||||
:align: center
|
||||
|
||||
|
||||
@ -118,5 +118,3 @@ Result
|
||||
|
||||
.. image:: images/Feature_Detection_Result_a.jpg
|
||||
:align: center
|
||||
|
||||
|
||||
|
||||
@ -243,5 +243,3 @@ The detected corners are surrounded by a small black circle
|
||||
|
||||
.. image:: images/Harris_Detector_Result.jpg
|
||||
:align: center
|
||||
|
||||
|
||||
|
||||
@ -10,4 +10,3 @@ These tutorials are the bottom of the iceberg as they link together multiple of
|
||||
.. raw:: latex
|
||||
|
||||
\pagebreak
|
||||
|
||||
|
||||
@ -154,8 +154,3 @@ Result
|
||||
.. image:: images/Adding_Trackbars_Tutorial_Result_1.jpg
|
||||
:alt: Adding Trackbars - Lena
|
||||
:align: center
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
@ -329,4 +329,3 @@ Result
|
||||
|
||||
.. image:: images/Histogram_Calculation_Result.jpg
|
||||
:align: center
|
||||
|
||||
|
||||
@ -369,4 +369,3 @@ Results
|
||||
|
||||
.. image:: images/Template_Matching_Image_Result.jpg
|
||||
:align: center
|
||||
|
||||
|
||||
@ -282,6 +282,3 @@ Result
|
||||
:align: center
|
||||
|
||||
* Notice how the image is superposed to the black background on the edge regions.
|
||||
|
||||
|
||||
|
||||
|
||||
@ -290,4 +290,3 @@ We get the following result by using the Probabilistic Hough Line Transform:
|
||||
:align: center
|
||||
|
||||
You may observe that the number of lines detected vary while you change the *threshold*. The explanation is sort of evident: If you establish a higher threshold, fewer lines will be detected (since you will need more points to declare a line detected).
|
||||
|
||||
|
||||
@ -311,4 +311,3 @@ Result
|
||||
:alt: Result 0 for remapping
|
||||
:width: 250pt
|
||||
:align: center
|
||||
|
||||
|
||||
@ -306,4 +306,3 @@ Result
|
||||
:alt: Original image
|
||||
:width: 250pt
|
||||
:align: center
|
||||
|
||||
|
||||
@ -279,4 +279,3 @@ Results
|
||||
.. image:: images/Morphology_2_Tutorial_Cover.jpg
|
||||
:alt: Morphology 2: Result sample
|
||||
:align: center
|
||||
|
||||
|
||||
@ -259,5 +259,3 @@ Results
|
||||
.. image:: images/Pyramids_Tutorial_PyrUp_Result.jpg
|
||||
:alt: Pyramids: PyrUp Result
|
||||
:align: center
|
||||
|
||||
|
||||
|
||||
@ -121,4 +121,3 @@ Result
|
||||
|
||||
.. |BRC_1| image:: images/Bounding_Rects_Circles_Result.jpg
|
||||
:align: middle
|
||||
|
||||
|
||||
@ -123,4 +123,3 @@ Result
|
||||
|
||||
.. |BRE_1| image:: images/Bounding_Rotated_Ellipses_Result.jpg
|
||||
:align: middle
|
||||
|
||||
|
||||
@ -104,4 +104,3 @@ Result
|
||||
|
||||
.. |contour_1| image:: images/Find_Contours_Result.jpg
|
||||
:align: middle
|
||||
|
||||
|
||||
@ -113,4 +113,3 @@ Result
|
||||
|
||||
.. |Hull_1| image:: images/Hull_Result.jpg
|
||||
:align: middle
|
||||
|
||||
|
||||
@ -133,4 +133,3 @@ Result
|
||||
.. |MU_2| image:: images/Moments_Result2.jpg
|
||||
:width: 250pt
|
||||
:align: middle
|
||||
|
||||
|
||||
@ -114,4 +114,3 @@ Result
|
||||
|
||||
.. |PPT_1| image:: images/Point_Polygon_Test_Result.jpg
|
||||
:align: middle
|
||||
|
||||
|
||||
@ -539,6 +539,3 @@ In this section you will learn about the image processing (manipulation) functio
|
||||
../shapedescriptors/bounding_rotated_ellipses/bounding_rotated_ellipses
|
||||
../shapedescriptors/moments/moments
|
||||
../shapedescriptors/point_polygon_test/point_polygon_test
|
||||
|
||||
|
||||
|
||||
|
||||
@ -253,6 +253,3 @@ Say you have or create a new file, *helloworld.cpp* in a directory called *foo*:
|
||||
a. You can also optionally modify the ``Build command:`` from ``make`` to something like ``make VERBOSE=1 -j4`` which tells the compiler to produce detailed symbol files for debugging and also to compile in 4 parallel threads.
|
||||
|
||||
#. Done!
|
||||
|
||||
|
||||
|
||||
|
||||
@ -80,4 +80,3 @@ Building OpenCV from Source Using CMake, Using the Command Line
|
||||
.. note::
|
||||
|
||||
If the size of the created library is a critical issue (like in case of an Android build) you can use the ``install/strip`` command to get the smallest size as possible. The *stripped* version appears to be twice as small. However, we do not recommend using this unless those extra megabytes do really matter.
|
||||
|
||||
|
||||
@ -73,4 +73,3 @@ Now we will learn how to write a simple Hello World Application in Xcode using O
|
||||
.. image:: images/output.png
|
||||
:alt: output
|
||||
:align: center
|
||||
|
||||
|
||||
@ -185,4 +185,3 @@ Results
|
||||
.. image:: images/result.png
|
||||
:alt: The seperated planes
|
||||
:align: center
|
||||
|
||||
|
||||
@ -131,4 +131,3 @@ Result
|
||||
.. image:: images/Cascade_Classifier_Tutorial_Result_LBP.jpg
|
||||
:align: center
|
||||
:height: 300pt
|
||||
|
||||
|
||||
@ -5,5 +5,3 @@ install(FILES ${old_hdrs}
|
||||
install(FILES "opencv2/opencv.hpp"
|
||||
DESTINATION ${OPENCV_INCLUDE_INSTALL_PATH}/opencv2
|
||||
COMPONENT main)
|
||||
|
||||
|
||||
|
||||
@ -80,4 +80,3 @@
|
||||
#endif //__cplusplus
|
||||
|
||||
#endif // __OPENCV_OLD_CV_H_
|
||||
|
||||
|
||||
@ -46,4 +46,3 @@
|
||||
#include "opencv2/core/eigen.hpp"
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
@ -14,4 +14,3 @@ double getCameraPropertyC(void* camera, int propIdx);
|
||||
void setCameraPropertyC(void* camera, int propIdx, double value);
|
||||
void applyCameraPropertiesC(void** camera);
|
||||
}
|
||||
|
||||
|
||||
@ -6,4 +6,3 @@ calib3d. Camera Calibration and 3D Reconstruction
|
||||
:maxdepth: 2
|
||||
|
||||
camera_calibration_and_3d_reconstruction
|
||||
|
||||
|
||||
@ -78,4 +78,3 @@ protected:
|
||||
};
|
||||
|
||||
#endif // _CV_MODEL_EST_H_
|
||||
|
||||
|
||||
@ -622,4 +622,3 @@ void epnp::qr_solve(CvMat * A, CvMat * b, CvMat * X)
|
||||
pX[i] = (pb[i] - sum) / A2[i];
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -413,4 +413,3 @@ bool p3p::jacobi_4x4(double * A, double * D, double * U)
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
|
||||
@ -59,4 +59,3 @@ class p3p
|
||||
};
|
||||
|
||||
#endif // P3P_H
|
||||
|
||||
|
||||
@ -346,4 +346,3 @@ void cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
|
||||
@ -193,4 +193,3 @@ void CV_Affine3D_EstTest::run( int /* start_from */)
|
||||
}
|
||||
|
||||
TEST(Calib3d_EstimateAffineTransform, accuracy) { CV_Affine3D_EstTest test; test.safe_run(); }
|
||||
|
||||
|
||||
@ -734,5 +734,3 @@ protected:
|
||||
TEST(Calib3d_CalibrateCamera_C, badarg) { CV_CameraCalibrationBadArgTest test; test.safe_run(); }
|
||||
TEST(Calib3d_Rodrigues_C, badarg) { CV_Rodrigues2BadArgTest test; test.safe_run(); }
|
||||
TEST(Calib3d_ProjectPoints_C, badarg) { CV_ProjectPoints2BadArgTest test; test.safe_run(); }
|
||||
|
||||
|
||||
|
||||
@ -329,4 +329,3 @@ Mat cv::ChessBoardGenerator::operator ()(const Mat& bg, const Mat& camMat, const
|
||||
return generateChessBoard(bg, camMat, distCoeffs, zero, pb1, pb2,
|
||||
squareSize.width, squareSize.height, pts3d, corners);
|
||||
}
|
||||
|
||||
|
||||
@ -212,4 +212,3 @@ protected:
|
||||
};
|
||||
|
||||
TEST(Calib3d_ComposeRT, accuracy) { CV_composeRT_Test test; test.safe_run(); }
|
||||
|
||||
|
||||
@ -22,4 +22,3 @@ namespace cvtest
|
||||
}
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
@ -172,4 +172,3 @@ protected:
|
||||
};
|
||||
|
||||
TEST(Calib3d_ReprojectImageTo3D, accuracy) { CV_ReprojectImageTo3DTest test; test.safe_run(); }
|
||||
|
||||
|
||||
@ -626,5 +626,3 @@ CSV for the AT&T Facedatabase
|
||||
.. literalinclude:: etc/at.txt
|
||||
:language: none
|
||||
:linenos:
|
||||
|
||||
|
||||
|
||||
@ -30,4 +30,3 @@ Indices and tables
|
||||
* :ref:`genindex`
|
||||
* :ref:`modindex`
|
||||
* :ref:`search`
|
||||
|
||||
|
||||
@ -23,4 +23,3 @@ target_link_libraries(facerec_fisherfaces opencv_contrib opencv_core opencv_imgp
|
||||
|
||||
add_executable(facerec_lbph facerec_lbph.cpp)
|
||||
target_link_libraries(facerec_lbph opencv_contrib opencv_core opencv_imgproc opencv_highgui)
|
||||
|
||||
|
||||
@ -231,5 +231,3 @@ Here are some examples:
|
||||
+---------------------------------+----------------------------------------------------------------------------+
|
||||
| 0.2 (20%), 0.2 (20%), (70,70) | .. image:: ../img/tutorial/gender_classification/arnie_20_20_70_70.jpg |
|
||||
+---------------------------------+----------------------------------------------------------------------------+
|
||||
|
||||
|
||||
|
||||
@ -44,4 +44,3 @@ And here is the Reconstruction, which is the same as the original:
|
||||
|
||||
.. image:: ../img/eigenface_reconstruction_opencv.png
|
||||
:align: center
|
||||
|
||||
|
||||
@ -205,5 +205,3 @@ Here are some examples:
|
||||
+---------------------------------+----------------------------------------------------------------------------+
|
||||
| 0.2 (20%), 0.2 (20%), (70,70) | .. image:: ../img/tutorial/gender_classification/arnie_20_20_70_70.jpg |
|
||||
+---------------------------------+----------------------------------------------------------------------------+
|
||||
|
||||
|
||||
|
||||
@ -113,5 +113,3 @@ The method executes the variational algorithm on a rectified stereo pair. See ``
|
||||
**Note**:
|
||||
|
||||
The method is not constant, so you should not use the same ``StereoVar`` instance from different threads simultaneously.
|
||||
|
||||
|
||||
|
||||
@ -983,4 +983,3 @@ namespace cv
|
||||
#endif
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
@ -353,4 +353,3 @@ protected:
|
||||
|
||||
}
|
||||
#endif /* __OPENCV_CONTRIB_RETINA_HPP__ */
|
||||
|
||||
|
||||
@ -284,5 +284,3 @@ void CvAdaptiveSkinDetector::Histogram::mergeWith(CvAdaptiveSkinDetector::Histog
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
|
||||
@ -653,5 +653,3 @@ namespace cv
|
||||
|
||||
}
|
||||
#endif
|
||||
|
||||
|
||||
|
||||
@ -136,4 +136,3 @@ Mat BOWMSCTrainer::cluster(const Mat& _descriptors) const {
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
@ -287,4 +287,3 @@ bool ChowLiuTree::reduceEdgesToMinSpan(std::list<info>& edges) {
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
@ -133,5 +133,3 @@ Point2f CvMeanShiftTracker::getTrackingCenter()
|
||||
{
|
||||
return prev_center;
|
||||
}
|
||||
|
||||
|
||||
|
||||
@ -41,4 +41,3 @@
|
||||
//M*/
|
||||
|
||||
#include "precomp.hpp"
|
||||
|
||||
|
||||
@ -853,4 +853,3 @@ const DetectionBasedTracker::Parameters& DetectionBasedTracker::getParameters()
|
||||
}
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
@ -221,4 +221,3 @@ Point2f CvFeatureTracker::getTrackingCenter()
|
||||
center.y = (float)(prev_center.y + prev_trackwindow.height/2.0);
|
||||
return center;
|
||||
}
|
||||
|
||||
|
||||
@ -720,4 +720,3 @@ void CvFuzzyMeanShiftTracker::track(IplImage *maskImage, IplImage *depthMap, int
|
||||
searchMode = tsTracking;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
@ -234,4 +234,3 @@ void CvHybridTracker::updateTrackerWithLowPassFilter(Mat) {
|
||||
Rect CvHybridTracker::getTrackingWindow() {
|
||||
return prev_window;
|
||||
}
|
||||
|
||||
|
||||
@ -1111,4 +1111,3 @@ Mat LDA::reconstruct(InputArray src) {
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
@ -649,4 +649,3 @@ LogPolar_Adjacent::~LogPolar_Adjacent()
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
@ -207,5 +207,3 @@ const std::valarray<float> &MagnoRetinaFilter::runFilter(const std::valarray<flo
|
||||
return (*_magnoYOutput);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
@ -241,5 +241,3 @@ namespace cv
|
||||
}
|
||||
|
||||
#endif /*MagnoRetinaFilter_H_*/
|
||||
|
||||
|
||||
|
||||
@ -228,4 +228,3 @@ void ParvoRetinaFilter::_OPL_OnOffWaysComputing() // WARNING : this method requi
|
||||
#endif
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -258,4 +258,3 @@ private:
|
||||
};
|
||||
}
|
||||
#endif
|
||||
|
||||
|
||||
@ -460,4 +460,3 @@ void Retina::activateMovingContoursProcessing(const bool activate){_retinaFilter
|
||||
void Retina::activateContoursProcessing(const bool activate){_retinaFilter->activateContoursProcessing(activate);}
|
||||
|
||||
} // end of namespace cv
|
||||
|
||||
|
||||
@ -338,5 +338,3 @@ namespace cv
|
||||
}
|
||||
|
||||
#endif /*RETINACOLOR_HPP_*/
|
||||
|
||||
|
||||
|
||||
@ -543,7 +543,3 @@ private:
|
||||
|
||||
}
|
||||
#endif /*RETINACLASSES_H_*/
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
@ -550,6 +550,3 @@ namespace cv
|
||||
|
||||
}
|
||||
#endif
|
||||
|
||||
|
||||
|
||||
|
||||
@ -14,4 +14,3 @@
|
||||
#include <iostream>
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
@ -2892,4 +2892,3 @@ The above methods are usually enough for users. If you want to make your own alg
|
||||
* Add public virtual method ``AlgorithmInfo* info() const;`` to your class.
|
||||
* Add constructor function, ``AlgorithmInfo`` instance and implement the ``info()`` method. The simplest way is to take http://code.opencv.org/projects/opencv/repository/revisions/master/entry/modules/ml/src/ml_init.cpp as the reference and modify it according to the list of your parameters.
|
||||
* Add some public function (e.g. ``initModule_<mymodule>()``) that calls info() of your algorithm and put it into the same source file as ``info()`` implementation. This is to force C++ linker to include this object file into the target application. See ``Algorithm::create()`` for details.
|
||||
|
||||
|
||||
@ -15,4 +15,3 @@ core. The Core Functionality
|
||||
clustering
|
||||
utility_and_system_functions_and_macros
|
||||
opengl_interop
|
||||
|
||||
|
||||
@ -531,4 +531,3 @@ The function ``putText`` renders the specified text string in the image.
|
||||
Symbols that cannot be rendered using the specified font are
|
||||
replaced by question marks. See
|
||||
:ocv:func:`getTextSize` for a text rendering code example.
|
||||
|
||||
|
||||
@ -1584,4 +1584,3 @@ Gathers all node pointers to a single sequence.
|
||||
:param storage: Container for the sequence
|
||||
|
||||
The function puts pointers of all nodes reachable from ``first`` into a single sequence. The pointers are written sequentially in the depth-first order.
|
||||
|
||||
|
||||
@ -1751,4 +1751,3 @@ For example, `NumPy <http://numpy.scipy.org/>`_ arrays support the array interfa
|
||||
(480, 640, 3) 1
|
||||
|
||||
.. note:: In the new Python wrappers (**cv2** module) the function is not needed, since cv2 can process Numpy arrays (and this is the only supported array type).
|
||||
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue
Block a user