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Whitespace change reverts to minimize delta w.r.t master.
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@ -398,8 +398,8 @@ cv::Mat cv::findHomography( InputArray _points1, InputArray _points2,
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{
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tempMask = Mat::ones(npoints, 1, CV_8U);
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result = cb->runKernel(src, dst, H) > 0;
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}
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else if( method == RANSAC)
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}
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else if( method == RANSAC )
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result = createRANSACPointSetRegistrator(cb, 4, ransacReprojThreshold, confidence, maxIters)->run(src, dst, H, tempMask);
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else if( method == LMEDS )
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result = createLMeDSPointSetRegistrator(cb, 4, confidence, maxIters)->run(src, dst, H, tempMask);
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@ -408,7 +408,6 @@ cv::Mat cv::findHomography( InputArray _points1, InputArray _points2,
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else
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CV_Error(Error::StsBadArg, "Unknown estimation method");
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if( result && npoints > 4 && method != RHO)
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{
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compressPoints( src.ptr<Point2f>(), tempMask.ptr<uchar>(), 1, npoints );
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@ -419,9 +418,8 @@ cv::Mat cv::findHomography( InputArray _points1, InputArray _points2,
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Mat dst1 = dst.rowRange(0, npoints);
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src = src1;
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dst = dst1;
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if( method == RANSAC || method == LMEDS)
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if( method == RANSAC || method == LMEDS )
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cb->runKernel( src, dst, H );
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Mat H8(8, 1, CV_64F, H.ptr<double>());
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createLMSolver(makePtr<HomographyRefineCallback>(src, dst), 10)->run(H8);
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}
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@ -614,9 +614,9 @@ unsigned RHO_HEST_REFC::rhoRefC(const float* src, /* Source points */
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for(ctrl.i=0; ctrl.i < arg.maxI || ctrl.i < 100; ctrl.i++){
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hypothesize() && verify();
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}
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/**
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* Teardown
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*/
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@ -624,8 +624,9 @@ unsigned RHO_HEST_REFC::rhoRefC(const float* src, /* Source points */
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if(isFinalRefineEnabled() && canRefine()){
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refine();
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}
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outputModel();
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finiRun();
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outputModel();
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finiRun();
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return isBestModelGoodEnough() ? best.numInl : 0;
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}
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@ -861,7 +862,6 @@ inline int RHO_HEST_REFC::verify(void){
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if(isNREnabled()){
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nStarOptimize();
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}
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}
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return 1;
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@ -1346,7 +1346,7 @@ inline void RHO_HEST_REFC::nStarOptimize(void){
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*/
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inline void RHO_HEST_REFC::updateBounds(void){
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arg.maxI = sacCalcIterBound(arg.cfd,
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arg.maxI = sacCalcIterBound(arg.cfd,
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(double)best.numInl/arg.N,
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SMPL_SIZE,
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arg.maxI);
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