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281 lines
8.4 KiB
281 lines
8.4 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Copyright (C) 2013, Alfonso Sanchez-Beato, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "perf_precomp.hpp" |
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#include "opencv2/ts.hpp" |
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#include "opencv2/reg/mapaffine.hpp" |
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#include "opencv2/reg/mapshift.hpp" |
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#include "opencv2/reg/mapprojec.hpp" |
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#include "opencv2/reg/mappergradshift.hpp" |
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#include "opencv2/reg/mappergradeuclid.hpp" |
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#include "opencv2/reg/mappergradsimilar.hpp" |
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#include "opencv2/reg/mappergradaffine.hpp" |
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#include "opencv2/reg/mappergradproj.hpp" |
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#include "opencv2/reg/mapperpyramid.hpp" |
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using namespace std; |
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using namespace std::tr1; |
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using namespace testing; |
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using namespace perf; |
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using namespace cv; |
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using namespace cv::reg; |
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Vec<double, 2> perfShift(const Mat& img1) |
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{ |
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Mat img2; |
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// Warp original image |
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Vec<double, 2> shift(5., 5.); |
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MapShift mapTest(shift); |
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mapTest.warp(img1, img2); |
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// Register |
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MapperGradShift mapper; |
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MapperPyramid mappPyr(mapper); |
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Ptr<Map> mapPtr; |
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mappPyr.calculate(img1, img2, mapPtr); |
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MapShift* mapShift = dynamic_cast<MapShift*>(mapPtr.get()); |
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return mapShift->getShift(); |
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} |
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Matx<double, 2, 6> perfEuclidean(const Mat& img1) |
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{ |
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Mat img2; |
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Matx<double, 2, 6> transf; |
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// Warp original image |
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double theta = 3*CV_PI/180; |
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double cosT = cos(theta); |
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double sinT = sin(theta); |
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Matx<double, 2, 2> linTr(cosT, -sinT, sinT, cosT); |
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Vec<double, 2> shift(5., 5.); |
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MapAffine mapTest(linTr, shift); |
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mapTest.warp(img1, img2); |
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// Register |
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MapperGradEuclid mapper; |
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MapperPyramid mappPyr(mapper); |
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Ptr<Map> mapPtr; |
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mappPyr.calculate(img1, img2, mapPtr); |
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MapAffine* mapAff = dynamic_cast<MapAffine*>(mapPtr.get()); |
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Matx<double, 2, 2> resLinTr = mapAff->getLinTr(); |
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transf(0, 0) = resLinTr(0, 0), transf(0, 1) = resLinTr(0, 1); |
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transf(1, 0) = resLinTr(1, 0), transf(1, 1) = resLinTr(1, 1); |
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Vec<double, 2> resShift = mapAff->getShift(); |
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transf(0, 2) = resShift(0); |
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transf(1, 2) = resShift(1); |
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return transf; |
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} |
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Matx<double, 2, 6> perfSimilarity(const Mat& img1) |
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{ |
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Mat img2; |
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Matx<double, 2, 6> transf; |
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// Warp original image |
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double theta = 3*CV_PI/180; |
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double scale = 0.95; |
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double a = scale*cos(theta); |
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double b = scale*sin(theta); |
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Matx<double, 2, 2> linTr(a, -b, b, a); |
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Vec<double, 2> shift(5., 5.); |
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MapAffine mapTest(linTr, shift); |
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mapTest.warp(img1, img2); |
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// Register |
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MapperGradSimilar mapper; |
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MapperPyramid mappPyr(mapper); |
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Ptr<Map> mapPtr; |
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mappPyr.calculate(img1, img2, mapPtr); |
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MapAffine* mapAff = dynamic_cast<MapAffine*>(mapPtr.get()); |
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Matx<double, 2, 2> resLinTr = mapAff->getLinTr(); |
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transf(0, 0) = resLinTr(0, 0), transf(0, 1) = resLinTr(0, 1); |
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transf(1, 0) = resLinTr(1, 0), transf(1, 1) = resLinTr(1, 1); |
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Vec<double, 2> resShift = mapAff->getShift(); |
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transf(0, 2) = resShift(0); |
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transf(1, 2) = resShift(1); |
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return transf; |
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} |
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Matx<double, 2, 6> perfAffine(const Mat& img1) |
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{ |
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Mat img2; |
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Matx<double, 2, 6> transf; |
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// Warp original image |
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Matx<double, 2, 2> linTr(1., 0.1, -0.01, 1.); |
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Vec<double, 2> shift(1., 1.); |
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MapAffine mapTest(linTr, shift); |
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mapTest.warp(img1, img2); |
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// Register |
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MapperGradAffine mapper; |
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MapperPyramid mappPyr(mapper); |
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Ptr<Map> mapPtr; |
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mappPyr.calculate(img1, img2, mapPtr); |
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MapAffine* mapAff = dynamic_cast<MapAffine*>(mapPtr.get()); |
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Matx<double, 2, 2> resLinTr = mapAff->getLinTr(); |
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transf(0, 0) = resLinTr(0, 0), transf(0, 1) = resLinTr(0, 1); |
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transf(1, 0) = resLinTr(1, 0), transf(1, 1) = resLinTr(1, 1); |
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Vec<double, 2> resShift = mapAff->getShift(); |
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transf(0, 2) = resShift(0); |
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transf(1, 2) = resShift(1); |
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return transf; |
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} |
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Matx<double, 3, 3> perfProjective(const Mat& img1) |
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{ |
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Mat img2; |
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// Warp original image |
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Matx<double, 3, 3> projTr(1., 0., 0., 0., 1., 0., 0.0001, 0.0001, 1); |
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MapProjec mapTest(projTr); |
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mapTest.warp(img1, img2); |
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// Register |
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MapperGradProj mapper; |
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MapperPyramid mappPyr(mapper); |
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Ptr<Map> mapPtr; |
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mappPyr.calculate(img1, img2, mapPtr); |
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MapProjec* mapProj = dynamic_cast<MapProjec*>(mapPtr.get()); |
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mapProj->normalize(); |
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return mapProj->getProjTr(); |
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} |
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PERF_TEST_P(Size_MatType, Registration_Shift, |
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Combine(Values(szSmall64, szSmall128), |
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Values(MatType(CV_64FC1), MatType(CV_64FC3)))) |
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{ |
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declare.time(60); |
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const Size size = get<0>(GetParam()); |
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const int type = get<1>(GetParam()); |
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Mat frame(size, type); |
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Vec<double, 2> shift; |
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declare.in(frame, WARMUP_RNG).out(shift); |
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TEST_CYCLE() shift = perfShift(frame); |
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SANITY_CHECK_NOTHING(); |
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} |
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PERF_TEST_P(Size_MatType, Registration_Euclidean, |
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Combine(Values(szSmall64, szSmall128), |
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Values(MatType(CV_64FC1), MatType(CV_64FC3)))) |
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{ |
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declare.time(60); |
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const Size size = get<0>(GetParam()); |
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const int type = get<1>(GetParam()); |
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Mat frame(size, type); |
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Matx<double, 2, 6> result; |
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declare.in(frame, WARMUP_RNG).out(result); |
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TEST_CYCLE() result = perfEuclidean(frame); |
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SANITY_CHECK_NOTHING(); |
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} |
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PERF_TEST_P(Size_MatType, Registration_Similarity, |
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Combine(Values(szSmall64, szSmall128), |
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Values(MatType(CV_64FC1), MatType(CV_64FC3)))) |
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{ |
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declare.time(60); |
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const Size size = get<0>(GetParam()); |
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const int type = get<1>(GetParam()); |
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Mat frame(size, type); |
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Matx<double, 2, 6> result; |
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declare.in(frame, WARMUP_RNG).out(result); |
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TEST_CYCLE() result = perfSimilarity(frame); |
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SANITY_CHECK_NOTHING(); |
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} |
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PERF_TEST_P(Size_MatType, Registration_Affine, |
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Combine(Values(szSmall64, szSmall128), |
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Values(MatType(CV_64FC1), MatType(CV_64FC3)))) |
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{ |
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declare.time(60); |
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const Size size = get<0>(GetParam()); |
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const int type = get<1>(GetParam()); |
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Mat frame(size, type); |
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Matx<double, 2, 6> result; |
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declare.in(frame, WARMUP_RNG).out(result); |
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TEST_CYCLE() result = perfAffine(frame); |
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SANITY_CHECK_NOTHING(); |
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} |
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PERF_TEST_P(Size_MatType, Registration_Projective, |
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Combine(Values(szSmall64, szSmall128), |
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Values(MatType(CV_64FC1), MatType(CV_64FC3)))) |
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{ |
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declare.time(60); |
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const Size size = get<0>(GetParam()); |
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const int type = get<1>(GetParam()); |
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Mat frame(size, type); |
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Matx<double, 3, 3> result; |
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declare.in(frame, WARMUP_RNG).out(result); |
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TEST_CYCLE() result = perfProjective(frame); |
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SANITY_CHECK_NOTHING(); |
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}
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