264 lines
8.1 KiB
C++
264 lines
8.1 KiB
C++
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/*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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namespace opencv_test { namespace {
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using namespace perf;
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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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Ptr<MapperGradShift> mapper = makePtr<MapperGradShift>();
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MapperPyramid mappPyr(mapper);
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Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
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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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Ptr<MapperGradEuclid> mapper = makePtr<MapperGradEuclid>();
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MapperPyramid mappPyr(mapper);
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Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
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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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Ptr<MapperGradSimilar> mapper = makePtr<MapperGradSimilar>();
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MapperPyramid mappPyr(mapper);
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Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
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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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Ptr<MapperGradAffine> mapper = makePtr<MapperGradAffine>();
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MapperPyramid mappPyr(mapper);
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Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
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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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Ptr<MapperGradProj> mapper = makePtr<MapperGradProj>();
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MapperPyramid mappPyr(mapper);
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Ptr<Map> mapPtr = mappPyr.calculate(img1, img2);
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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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}} // namespace
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