/*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; //////////////////// BruteForceMatch ///////////////// typedef TestBaseWithParam BruteForceMatcherFixture; OCL_PERF_TEST_P(BruteForceMatcherFixture, Match, OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3)) { const Size srcSize = GetParam(); vector matches; Mat query(srcSize, CV_32FC1), train(srcSize, CV_32FC1); declare.in(query, train); randu(query, 0.0f, 1.0f); randu(train, 0.0f, 1.0f); if (RUN_PLAIN_IMPL) { BFMatcher matcher(NORM_L2); TEST_CYCLE() matcher.match(query, train, matches); SANITY_CHECK_MATCHES(matches); } else if (RUN_OCL_IMPL) { ocl::BruteForceMatcher_OCL_base oclMatcher(ocl::BruteForceMatcher_OCL_base::L2Dist); ocl::oclMat oclQuery(query), oclTrain(train); OCL_TEST_CYCLE() oclMatcher.match(oclQuery, oclTrain, matches); SANITY_CHECK_MATCHES(matches, 1e-5); } else OCL_PERF_ELSE } OCL_PERF_TEST_P(BruteForceMatcherFixture, KnnMatch, OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3)) { const Size srcSize = GetParam(); vector > matches(2); Mat query(srcSize, CV_32F), train(srcSize, CV_32F); randu(query, 0.0f, 1.0f); randu(train, 0.0f, 1.0f); declare.in(query, train); if (RUN_PLAIN_IMPL) { BFMatcher matcher(NORM_L2); TEST_CYCLE() matcher.knnMatch(query, train, matches, 2); std::vector & matches0 = matches[0], & matches1 = matches[1]; SANITY_CHECK_MATCHES(matches0); SANITY_CHECK_MATCHES(matches1); } else if (RUN_OCL_IMPL) { ocl::BruteForceMatcher_OCL_base oclMatcher(ocl::BruteForceMatcher_OCL_base::L2Dist); ocl::oclMat oclQuery(query), oclTrain(train); ocl::oclMat oclTrainIdx, oclDistance; OCL_TEST_CYCLE() oclMatcher.knnMatch(oclQuery, oclTrain, matches, 2); oclMatcher.knnMatchDownload(oclTrainIdx, oclDistance, matches); std::vector & matches0 = matches[0], & matches1 = matches[1]; SANITY_CHECK_MATCHES(matches0, 1e-5); SANITY_CHECK_MATCHES(matches1, 1e-5); } else OCL_PERF_ELSE } OCL_PERF_TEST_P(BruteForceMatcherFixture, RadiusMatch, OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3)) { const Size srcSize = GetParam(); const float max_distance = 2.0f; vector > matches(2); Mat query(srcSize, CV_32FC1), train(srcSize, CV_32FC1); declare.in(query, train); randu(query, 0.0f, 1.0f); randu(train, 0.0f, 1.0f); if (RUN_PLAIN_IMPL) { cv::BFMatcher matcher(NORM_L2); TEST_CYCLE() matcher.radiusMatch(query, train, matches, max_distance); std::vector & matches0 = matches[0], & matches1 = matches[1]; SANITY_CHECK_MATCHES(matches0); SANITY_CHECK_MATCHES(matches1); } else if (RUN_OCL_IMPL) { ocl::oclMat oclQuery(query), oclTrain(train); ocl::BruteForceMatcher_OCL_base oclMatcher(ocl::BruteForceMatcher_OCL_base::L2Dist); ocl::oclMat oclTrainIdx, oclDistance, oclNMatches; OCL_TEST_CYCLE() oclMatcher.radiusMatch(oclQuery, oclTrain, matches, max_distance); oclMatcher.radiusMatchDownload(oclTrainIdx, oclDistance, oclNMatches, matches); std::vector & matches0 = matches[0], & matches1 = matches[1]; SANITY_CHECK_MATCHES(matches0); SANITY_CHECK_MATCHES(matches1); } else OCL_PERF_ELSE }