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@@ -30,4 +30,4 @@ Wrapping class for computing descriptors by using the
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virtual int descriptorType() const;
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protected:
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...
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}
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}
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@@ -361,4 +361,3 @@ Wrapping class for computing, matching, and classifying descriptors using the
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protected:
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...
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};
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@@ -191,4 +191,3 @@ Reads the trained Gaussian mixture model from the file storage.
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:param fs: A file storage with the trained model.
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:param node: The parent map. If it is NULL, the function searches a node with parameters in all the top-level nodes (streams), starting with the first one.
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@@ -92,4 +92,3 @@ Returns a pointer to the histogram bin.
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..
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The macros ``GetHistValue`` return a pointer to the specified bin of the 1D, 2D, 3D, or N-D histogram. In case of a sparse histogram, the function creates a new bin and sets it to 0, unless it exists already.
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@@ -84,5 +84,3 @@ Calculates the optical flow for two images using Lucas-Kanade algorithm.
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:param vely: Vertical component of the optical flow of the same size as input images, 32-bit floating-point, single-channel
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The function computes the flow for every pixel of the first input image using the Lucas and Kanade algorithm [Lucas81]_. The function is obsolete. To track sparse features, use :ocv:func:`calcOpticalFlowPyrLK`. To track all the pixels, use :ocv:func:`calcOpticalFlowFarneback`.
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@@ -322,4 +322,3 @@ Inserts a single point into a Delaunay triangulation.
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:param pt: Inserted point.
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The function inserts a single point into a subdivision and modifies the subdivision topology appropriately. If a point with the same coordinates exists already, no new point is added. The function returns a pointer to the allocated point. No virtual point coordinates are calculated at this stage.
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@@ -90,4 +90,3 @@ and DirectX SDK (2006 April or later).
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#endif
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#endif
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@@ -295,4 +295,3 @@ int icvSingularValueDecomposition( int M,
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/*======================================================================================*/
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#endif/*_CV_VM_H_*/
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@@ -359,4 +359,3 @@ void cvBGCodeBookClearStale( CvBGCodeBookModel* model, int staleThresh,
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}
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/* End of file. */
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@@ -135,4 +135,3 @@ cvSegmentFGMask( CvArr* _mask, int poly1Hull0, float perimScale,
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}
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/* End of file. */
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@@ -1319,4 +1319,3 @@ icvUpdateGaussianBGModel2( IplImage* curr_frame, CvGaussBGModel2* bg_model )
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}
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/* End of file. */
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@@ -637,4 +637,3 @@ void cvReleaseBlobTracker(CvBlobTracker**ppT )
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ppT[0]->Release();
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ppT[0] = 0;
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}
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@@ -125,4 +125,3 @@ CvBlobTrackAnalysis* cvCreateBlobTrackAnalysisList(CvBlobTrackAnalysisOne* (*cre
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}
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/* ======================== Analyser modules ============================= */
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@@ -171,4 +171,3 @@ CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisIOR()
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return (CvBlobTrackAnalysis*)pIOR;
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}/* cvCreateCvBlobTrackAnalysisIOR */
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/* ======================== Analyser modules ============================= */
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@@ -578,4 +578,3 @@ public:
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CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisTrackDist()
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{return (CvBlobTrackAnalysis*) new CvBlobTrackAnalysisTrackDist;}
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@@ -181,5 +181,3 @@ CvBlobTrackGen* cvCreateModuleBlobTrackGen1()
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{
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return (CvBlobTrackGen*) new CvBlobTrackGen1(0);
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}
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@@ -215,5 +215,3 @@ CvBlobTrackGen* cvCreateModuleBlobTrackGenYML()
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{
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return (CvBlobTrackGen*) new CvBlobTrackGenYML;
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}
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@@ -479,4 +479,3 @@ void CvBlobTrackerAuto1::Process(IplImage* pImg, IplImage* pMask)
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TIME_END("TrackAnalysis",m_BlobList.GetBlobNum())
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} /* CvBlobTrackerAuto1::Process */
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@@ -1179,4 +1179,3 @@ CvBlobTracker* cvCreateBlobTrackerMSPF()
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{
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return cvCreateBlobTrackerList(cvCreateBlobTrackerOneMSPF);
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}
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@@ -454,4 +454,3 @@ CvBlobTracker* cvCreateBlobTrackerMSFGS()
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{
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return cvCreateBlobTrackerList(cvCreateBlobTrackerOneMSFGS);
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}
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@@ -324,4 +324,3 @@ CvBlobTrackPredictor* cvCreateModuleBlobTrackPredictKalman()
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return (CvBlobTrackPredictor*) new CvBlobTrackPredictKalman;
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}
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/*======================= KALMAN PREDICTOR =========================*/
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@@ -111,4 +111,3 @@ cvCalcImageHomography( float* line, CvPoint3D32f* _center,
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}
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/* End of file. */
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@@ -919,5 +919,3 @@ bool CvCalibFilter::Undistort( CvMat** srcarr, CvMat** dstarr )
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return true;
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}
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@@ -706,4 +706,3 @@ void cvBronKerbosch( CvGraph* graph )
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}//end cvBronKerbosch
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#endif
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@@ -626,4 +626,3 @@ void cvDecompPoly( CvContour* cont,
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#endif
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// End of file decomppoly.cpp
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@@ -551,4 +551,3 @@ cvFindStereoCorrespondence(
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}
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/* End of file. */
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@@ -1060,5 +1060,3 @@ int CvBlobDetectorCC::DetectNewBlob(IplImage* /*pImg*/, IplImage* pFGMask, CvBlo
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return result;
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} /* cvDetectNewBlob */
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@@ -161,4 +161,3 @@ public:
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/* Blob detector constructor: */
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//CvBlobDetector* cvCreateBlobDetectorReal(CvTestSeq* pTestSeq){return new CvBlobDetectorReal(pTestSeq);}
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@@ -3698,5 +3698,3 @@ int cvComputeEssentialMatrix( CvMatr32f rotMatr,
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return CV_OK;
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}
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@@ -263,7 +263,3 @@ CvSeq* icvCutContourRaster( CvSeq* current, CvMemStorage* storage, IplImage* ima
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*/
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#endif /* WIN32 */
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@@ -351,4 +351,3 @@ inline void RFace::ResizeRect(CvRect Rect,CvRect * lpRect,long lDir,long lD)
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}
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}// inline void RFace::ResizeRect(CvRect * lpRect,long lDir,long lD)
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@@ -133,4 +133,3 @@ private:
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#endif //__FACE_H__
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@@ -499,5 +499,3 @@ Face * FaceDetectionList::GetData()
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m_pCurElem = m_pCurElem->m_pNext;
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return m_pCurElem->m_pFace;
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}//Face * FaceDetectionList::GetData()
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@@ -199,4 +199,3 @@ inline MouthFaceTemplate::MouthFaceTemplate(long lNumber,CvRect rect,double dEye
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#endif//__FACETEMPLATE_H__
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@@ -122,5 +122,3 @@ cvGetStarKeypoints( const CvArr* _img, CvMemStorage* storage,
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}
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return seq;
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}
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@@ -65,4 +65,3 @@ CvSeq * cvPostBoostingFindFace(IplImage * Image,CvMemStorage* lpStorage)
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return lpSeq;
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}//cvPostBoostingFindFace(IplImage * Image)
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@@ -631,4 +631,3 @@ cvFindHandRegionA( CvPoint3D32f * points, int count,
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IPPI_CALL( icvFindHandRegionA( points, count, indexs, line, size, jc,
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center, storage, numbers ));
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}
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@@ -1695,4 +1695,3 @@ cvMixSegmL2( CvImgObsInfo ** obs_info_array, int num_img, CvEHMM * hmm )
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}
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/* End of file */
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@@ -1148,4 +1148,3 @@ CvStatus icvEstimate1DHMMStateParams(CvImgObsInfo** obs_info_array, int num_img,
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#endif
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@@ -330,4 +330,3 @@ void CvMatrix::show( const char* window_name )
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/* End of file. */
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@@ -718,7 +718,3 @@ void _cvProjectionPointToSegment(CvPoint2D32f* PointO,
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PrPoint->y = PointO->y - VectorAO.y + alfa*VectorAB.y;
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return;
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}//end of _cvProjectionPointToSegment
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@@ -315,6 +315,3 @@ void TestOptimX2Y2()
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}
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#endif
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@@ -477,4 +477,3 @@ cvPostWarpImage( int numLines, /* number of scanlines */
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}
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/* End of file */
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@@ -1683,4 +1683,3 @@ icvPoint7( int *ml, int *mr, double *F, int *amount )
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return error;
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} /* icvPoint7 */
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@@ -389,4 +389,3 @@ cvMorphEpilinesMulti( int lines, /* number of lines */
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second_corr /* correspond information for the 2nd seq */
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));
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}
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@@ -1367,4 +1367,3 @@ void cvAddNoise(IplImage* pImg, int noise_type, double Ampl, CvRandState* rnd_st
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cvReleaseImage(&pImgAdd);
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} /* cvAddNoise */
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@@ -645,4 +645,3 @@ cvCreateGLCMImage( CvGLCM* GLCM, int step )
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return dest;
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}
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@@ -2785,4 +2785,3 @@ static void icvDecomposeQ(CvMat* /*matrQ*/,CvMat* /*matrH*/)
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}
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#endif
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@@ -971,4 +971,3 @@ inline double CalculateTransformationLMS3_0( CvPoint* pTemplPoints, CvPoint* pSr
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dbLMS = dbXtXt + dbYtYt - ((double)pow(dbXtXs + dbYtYs,2) + (double)pow(dbXtYs - dbYtXs,2)) / del;
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return dbLMS;
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}
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@@ -80,5 +80,3 @@ cvDeInterlace( const CvArr* framearr, CvArr* fieldEven, CvArr* fieldOdd )
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}
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/* End of file. */
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@@ -112,4 +112,3 @@ protected:
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};
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TEST(Legacy_BruteForceMatcher, accuracy) { CV_BruteForceMatcherTest test; test.safe_run(); }
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@@ -352,5 +352,3 @@ void CV_OptFlowTest::run( int /* start_from */)
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TEST(Legacy_OpticalFlow, accuracy) { CV_OptFlowTest test; test.safe_run(); }
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@@ -338,4 +338,3 @@ _exit_:
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TEST(Legacy_Subdiv, correctness) { CV_SubdivTest test; test.safe_run(); }
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/* End of file. */
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