/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Fangfang Bai, fangfang@multicorewareinc.com // Jin Ma, jin@multicorewareinc.com // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors as is and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "perf_precomp.hpp" using namespace perf; using std::tr1::tuple; using std::tr1::get; /////////// matchTemplate //////////////////////// typedef Size_MatType CV_TM_CCORRFixture; OCL_PERF_TEST_P(CV_TM_CCORRFixture, matchTemplate, ::testing::Combine(::testing::Values(Size(1000, 1000), Size(2000, 2000)), OCL_PERF_ENUM(CV_32FC1, CV_32FC4))) { const Size_MatType_t params = GetParam(); const Size srcSize = get<0>(params), templSize(5, 5); const int type = get<1>(params); Mat src(srcSize, type), templ(templSize, type); const Size dstSize(src.cols - templ.cols + 1, src.rows - templ.rows + 1); Mat dst(dstSize, CV_32F); randu(src, 0.0f, 1.0f); randu(templ, 0.0f, 1.0f); declare.in(src, templ).out(dst); if (RUN_OCL_IMPL) { ocl::oclMat oclSrc(src), oclTempl(templ), oclDst(dstSize, CV_32F); OCL_TEST_CYCLE() cv::ocl::matchTemplate(oclSrc, oclTempl, oclDst, CV_TM_CCORR); oclDst.download(dst); SANITY_CHECK(dst, 1e-4); } else if (RUN_PLAIN_IMPL) { TEST_CYCLE() cv::matchTemplate(src, templ, dst, CV_TM_CCORR); SANITY_CHECK(dst, 1e-4); } else OCL_PERF_ELSE } typedef TestBaseWithParam CV_TM_CCORR_NORMEDFixture; OCL_PERF_TEST_P(CV_TM_CCORR_NORMEDFixture, matchTemplate, ::testing::Values(Size(1000, 1000), Size(2000, 2000), Size(4000, 4000))) { const Size srcSize = GetParam(), templSize(5, 5); Mat src(srcSize, CV_8UC1), templ(templSize, CV_8UC1), dst; const Size dstSize(src.cols - templ.cols + 1, src.rows - templ.rows + 1); dst.create(dstSize, CV_8UC1); declare.in(src, templ, WARMUP_RNG).out(dst); if (RUN_OCL_IMPL) { ocl::oclMat oclSrc(src), oclTempl(templ), oclDst(dstSize, CV_8UC1); OCL_TEST_CYCLE() cv::ocl::matchTemplate(oclSrc, oclTempl, oclDst, CV_TM_CCORR_NORMED); oclDst.download(dst); SANITY_CHECK(dst, 2e-2); } else if (RUN_PLAIN_IMPL) { TEST_CYCLE() cv::matchTemplate(src, templ, dst, CV_TM_CCORR_NORMED); SANITY_CHECK(dst, 2e-2); } else OCL_PERF_ELSE } CV_ENUM(MethodType, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED) typedef std::tr1::tuple ImgSize_TmplSize_Method_t; typedef TestBaseWithParam ImgSize_TmplSize_Method; OCL_PERF_TEST_P(ImgSize_TmplSize_Method, MatchTemplate, ::testing::Combine( testing::Values(szSmall128, cv::Size(320, 240), cv::Size(640, 480), cv::Size(800, 600), cv::Size(1024, 768), cv::Size(1280, 1024)), testing::Values(cv::Size(12, 12), cv::Size(28, 9), cv::Size(8, 30), cv::Size(16, 16)), MethodType::all() ) ) { Size imgSz = get<0>(GetParam()); Size tmplSz = get<1>(GetParam()); int method = get<2>(GetParam()); Mat img(imgSz, CV_8UC1); Mat tmpl(tmplSz, CV_8UC1); Mat result(imgSz - tmplSz + Size(1, 1), CV_32F); bool isNormed = method == TM_CCORR_NORMED || method == TM_SQDIFF_NORMED || method == TM_CCOEFF_NORMED; declare.in(img, tmpl, WARMUP_RNG).out(result).time(30); if (RUN_OCL_IMPL) { ocl::oclMat oclImg(img), oclTmpl(tmpl), oclResult(result.size(), CV_32F); OCL_TEST_CYCLE() matchTemplate(oclImg, oclTmpl, oclResult, method); oclResult.download(result); } else if (RUN_PLAIN_IMPL) { OCL_TEST_CYCLE() matchTemplate(img, tmpl, result, method); } else OCL_PERF_ELSE double eps = isNormed ? 3e-2 : 255 * 255 * tmpl.total() * 1e-4; if (method == TM_SQDIFF_NORMED) SANITY_CHECK_NOTHING(); else if (isNormed) SANITY_CHECK(result, eps, ERROR_RELATIVE); else SANITY_CHECK(result, eps); }