mirror of
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Merge commit '43aec5ad' into merge-2.4
Conflicts: cmake/OpenCVConfig.cmake cmake/OpenCVLegacyOptions.cmake modules/contrib/src/retina.cpp modules/gpu/doc/camera_calibration_and_3d_reconstruction.rst modules/gpu/doc/video.rst modules/gpu/src/speckle_filtering.cpp modules/python/src2/cv2.cv.hpp modules/python/test/test2.py samples/python/watershed.py
This commit is contained in:
Roman Donchenko
commit
2c4bbb313c
64
.gitattributes
vendored
64
.gitattributes
vendored
@ -1,42 +1,58 @@
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.git* export-ignore
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* text=auto whitespace=trailing-space,space-before-tab,-indent-with-non-tab,tab-in-indent,tabwidth=4
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*.py text
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*.cpp text
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*.hpp text
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*.cxx text
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*.hxx text
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*.mm text
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.git* text export-ignore
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*.aidl text
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*.appxmanifest text
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*.bib text
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*.c text
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*.h text
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*.i text
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*.js text
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*.java text
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*.scala text
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*.cu text
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*.cl text
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*.conf text
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*.cpp text
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*.css_t text
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*.cu text
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*.cxx text
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*.def text
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*.filelist text
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*.h text
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*.hpp text
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*.htm text
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*.html text
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*.hxx text
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*.i text
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*.idl text
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*.java text
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*.js text
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*.mk text
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*.mm text
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*.plist text
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*.properties text
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*.py text
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*.qrc text
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*.qss text
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*.S text
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*.rst text
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*.tex text
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*.sbt text
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*.scala text
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*.sty text
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*.tex text
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*.txt text
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*.xaml text
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*.aidl text
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*.mk text
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# reST underlines/overlines can look like conflict markers
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*.rst text conflict-marker-size=80
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*.cmake text whitespace=tabwidth=2
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*.cmakein text whitespace=tabwidth=2
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*.in text whitespace=tabwidth=2
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CMakeLists.txt text whitespace=tabwidth=2
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*.png binary
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*.jpeg binary
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*.jpg binary
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*.avi binary
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*.bmp binary
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*.exr binary
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*.ico binary
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*.jpeg binary
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*.jpg binary
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*.png binary
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*.a binary
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*.so binary
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@ -47,6 +63,7 @@ CMakeLists.txt text whitespace=tabwidth=2
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*.pbxproj binary
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*.vec binary
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*.doc binary
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*.dia binary
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*.xml -text whitespace=cr-at-eol
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*.yml -text whitespace=cr-at-eol
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@ -55,9 +72,12 @@ CMakeLists.txt text whitespace=tabwidth=2
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.cproject -text whitespace=cr-at-eol merge=union
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org.eclipse.jdt.core.prefs -text whitespace=cr-at-eol merge=union
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*.vcproj text eol=crlf merge=union
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*.bat text eol=crlf
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*.cmd text eol=crlf
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*.cmd.tmpl text eol=crlf
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*.dsp text eol=crlf -whitespace
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*.sln text eol=crlf -whitespace
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*.vcproj text eol=crlf -whitespace merge=union
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*.vcxproj text eol=crlf -whitespace merge=union
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*.sh text eol=lf
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1
3rdparty/.gitattributes
vendored
Normal file
1
3rdparty/.gitattributes
vendored
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@ -0,0 +1 @@
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* -whitespace
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||||
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
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||||
|
||||
|
||||
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||||
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
|
||||
|
||||
|
||||
@ -863,4 +863,3 @@ 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()
|
||||
|
||||
|
||||
@ -90,4 +90,3 @@ int icvGetIdxAt( CvMat* idx, int pos )
|
||||
void icvSave( const CvArr* ptr, const char* filename, int line );
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||||
|
||||
#endif /* __CVCOMMON_H_ */
|
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|
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|
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@ -375,4 +375,3 @@ 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()
|
||||
|
||||
|
||||
@ -23,5 +23,3 @@ FOREACH(file ${files})
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||||
MESSAGE(STATUS "File \"$ENV{DESTDIR}${file}\" does not exist.")
|
||||
ENDIF(EXISTS "$ENV{DESTDIR}${file}")
|
||||
ENDFOREACH(file)
|
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|
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|
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1
doc/_static/insertIframe.js
vendored
1
doc/_static/insertIframe.js
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@ -10,4 +10,3 @@ function insertIframe (elementId, iframeSrc)
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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
|
||||
|
||||
|
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@ -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
|
||||
|
||||
|
||||
|
||||
|
||||
@ -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
|
||||
|
||||
|
||||
@ -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
|
||||
|
||||
|
||||
|
||||
|
||||
@ -245,6 +245,3 @@ 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!
|
||||
|
||||
|
||||
|
||||
|
||||
@ -81,3 +81,4 @@ Building OpenCV from Source Using CMake, Using the Command Line
|
||||
|
||||
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.
|
||||
|
||||
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.
|
||||
|
||||
@ -130,4 +130,3 @@ 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)
|
||||
|
||||
|
||||
|
||||
@ -73,4 +73,3 @@
|
||||
#endif //CV_IMPL
|
||||
|
||||
#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
|
||||
|
||||
|
||||
@ -621,4 +621,3 @@ void epnp::qr_solve(CvMat * A, CvMat * b, CvMat * X)
|
||||
pX[i] = (pb[i] - sum) / A2[i];
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -411,4 +411,3 @@ bool p3p::jacobi_4x4(double * A, double * D, double * U)
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
|
||||
@ -59,4 +59,3 @@ class p3p
|
||||
};
|
||||
|
||||
#endif // P3P_H
|
||||
|
||||
|
||||
@ -348,4 +348,3 @@ void cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
|
||||
@ -195,4 +195,3 @@ void CV_Affine3D_EstTest::run( int /* start_from */)
|
||||
}
|
||||
|
||||
TEST(Calib3d_EstimateAffineTransform, accuracy) { CV_Affine3D_EstTest test; test.safe_run(); }
|
||||
|
||||
|
||||
@ -735,5 +735,3 @@ 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(); }
|
||||
|
||||
|
||||
@ -21,4 +21,3 @@ namespace cvtest
|
||||
}
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
@ -173,4 +173,3 @@ 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.
|
||||
|
||||
|
||||
|
||||
@ -286,5 +286,3 @@ void CvAdaptiveSkinDetector::Histogram::mergeWith(CvAdaptiveSkinDetector::Histog
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
|
||||
@ -136,4 +136,3 @@ Mat BOWMSCTrainer::cluster(const Mat& _descriptors) const {
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
@ -287,4 +287,3 @@ bool ChowLiuTree::reduceEdgesToMinSpan(std::list<info>& edges) {
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
@ -132,5 +132,3 @@ Point2f CvMeanShiftTracker::getTrackingCenter()
|
||||
{
|
||||
return prev_center;
|
||||
}
|
||||
|
||||
|
||||
|
||||
@ -41,4 +41,3 @@
|
||||
//M*/
|
||||
|
||||
#include "precomp.hpp"
|
||||
|
||||
|
||||
@ -892,4 +892,3 @@ const cv::DetectionBasedTracker::Parameters& DetectionBasedTracker::getParameter
|
||||
}
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
@ -221,4 +221,3 @@ Point2f CvFeatureTracker::getTrackingCenter()
|
||||
center.y = (float)(prev_center.y + prev_trackwindow.height/2.0);
|
||||
return center;
|
||||
}
|
||||
|
||||
|
||||
@ -721,4 +721,3 @@ void CvFuzzyMeanShiftTracker::track(IplImage *maskImage, IplImage *depthMap, int
|
||||
searchMode = tsTracking;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
@ -233,4 +233,3 @@ void CvHybridTracker::updateTrackerWithLowPassFilter(Mat) {
|
||||
Rect CvHybridTracker::getTrackingWindow() {
|
||||
return prev_window;
|
||||
}
|
||||
|
||||
|
||||
@ -1106,4 +1106,3 @@ Mat LDA::reconstruct(InputArray src) {
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
@ -649,4 +649,3 @@ LogPolar_Adjacent::~LogPolar_Adjacent()
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
@ -14,4 +14,3 @@
|
||||
#include <iostream>
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
@ -2941,4 +2941,3 @@ 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.
|
||||
|
||||
|
||||
@ -16,4 +16,3 @@ core. The Core Functionality
|
||||
clustering
|
||||
utility_and_system_functions_and_macros
|
||||
opengl_interop
|
||||
|
||||
|
||||
@ -1580,4 +1580,3 @@ 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.
|
||||
|
||||
|
||||
@ -1677,4 +1677,3 @@ 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).
|
||||
|
||||
|
||||
@ -24,4 +24,3 @@ PERF_TEST_P(Size_MatType, abs, TYPICAL_MATS_ABS)
|
||||
|
||||
SANITY_CHECK(c);
|
||||
}
|
||||
|
||||
|
||||
@ -73,4 +73,3 @@ PERF_TEST_P(Size_MatType, bitwise_xor, TYPICAL_MATS_BITW_ARITHM)
|
||||
|
||||
SANITY_CHECK(c);
|
||||
}
|
||||
|
||||
|
||||
@ -2118,5 +2118,3 @@ TEST(Core_DS_Seq, sort_invert) { Core_SeqSortInvTest test; test.safe_run(); }
|
||||
TEST(Core_DS_Set, basic_operations) { Core_SetTest test; test.safe_run(); }
|
||||
TEST(Core_DS_Graph, basic_operations) { Core_GraphTest test; test.safe_run(); }
|
||||
TEST(Core_DS_Graph, scan) { Core_GraphScanTest test; test.safe_run(); }
|
||||
|
||||
|
||||
|
||||
@ -866,5 +866,3 @@ protected:
|
||||
};
|
||||
|
||||
TEST(Core_DFT, complex_output) { Core_DFTComplexOutputTest test; test.safe_run(); }
|
||||
|
||||
|
||||
|
||||
@ -2755,4 +2755,3 @@ TEST(CovariationMatrixVectorOfMatWithMean, accuracy)
|
||||
}
|
||||
|
||||
/* End of file. */
|
||||
|
||||
|
||||
@ -1,3 +1,2 @@
|
||||
set(the_description "2D Features Framework")
|
||||
ocv_define_module(features2d opencv_imgproc opencv_flann OPTIONAL opencv_highgui)
|
||||
|
||||
|
||||
@ -274,5 +274,3 @@ Example: ::
|
||||
|
||||
VectorDescriptorMatcher matcher( new SurfDescriptorExtractor,
|
||||
new BruteForceMatcher<L2<float> > );
|
||||
|
||||
|
||||
|
||||
@ -41,4 +41,3 @@ PERF_TEST_P(fast, detect, testing::Combine(
|
||||
|
||||
SANITY_CHECK_KEYPOINTS(points);
|
||||
}
|
||||
|
||||
|
||||
@ -357,4 +357,3 @@ int cornerScore<8>(const uchar* ptr, const int pixel[], int threshold)
|
||||
}
|
||||
|
||||
} // namespace cv
|
||||
|
||||
|
||||
@ -93,4 +93,3 @@ void CV_BRISKTest::run( int )
|
||||
}
|
||||
|
||||
TEST(Features2d_BRISK, regression) { CV_BRISKTest test; test.safe_run(); }
|
||||
|
||||
|
||||
@ -135,4 +135,3 @@ void CV_FastTest::run( int )
|
||||
}
|
||||
|
||||
TEST(Features2d_FAST, regression) { CV_FastTest test; test.safe_run(); }
|
||||
|
||||
|
||||
@ -166,5 +166,3 @@ TEST(Features2d_Detector_Keypoints_Dense, validation)
|
||||
CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.Dense"));
|
||||
test.safe_run();
|
||||
}
|
||||
|
||||
|
||||
|
||||
@ -205,4 +205,3 @@ void CV_MserTest::run(int)
|
||||
}
|
||||
|
||||
TEST(Features2d_MSER, DISABLED_regression) { CV_MserTest test; test.safe_run(); }
|
||||
|
||||
|
||||
@ -1,3 +1,2 @@
|
||||
set(the_description "Clustering and Search in Multi-Dimensional Spaces")
|
||||
ocv_define_module(flann opencv_core)
|
||||
|
||||
|
||||
@ -131,5 +131,3 @@ public:
|
||||
}
|
||||
|
||||
#endif //OPENCV_FLANN_RANDOM_H
|
||||
|
||||
|
||||
|
||||
@ -540,4 +540,3 @@ private:
|
||||
}
|
||||
|
||||
#endif //OPENCV_FLANN_RESULTSET_H
|
||||
|
||||
|
||||
@ -309,4 +309,3 @@ Class that enables getting ``cudaStream_t`` from :ocv:class:`gpu::Stream` and is
|
||||
{
|
||||
CV_EXPORTS static cudaStream_t getStream(const Stream& stream);
|
||||
};
|
||||
|
||||
|
||||
@ -60,4 +60,3 @@ With this algorithm, a dual GPU gave a 180
|
||||
%
|
||||
performance increase comparing to the single Fermi GPU. For a source code example, see
|
||||
http://code.opencv.org/projects/opencv/repository/revisions/master/entry/samples/gpu/.
|
||||
|
||||
|
||||
@ -257,4 +257,3 @@ if __name__ == "__main__":
|
||||
outputFile = open(sys.argv[2], 'w')
|
||||
outputFile.writelines(lines)
|
||||
outputFile.close()
|
||||
|
||||
|
||||
@ -290,5 +290,3 @@ void cv::gpu::solvePnPRansac(const Mat& object, const Mat& image, const Mat& cam
|
||||
}
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue
Block a user