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178 lines
6.2 KiB
C++
178 lines
6.2 KiB
C++
/*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) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Fangfang Bai, fangfang@multicorewareinc.com
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// Jin Ma, jin@multicorewareinc.com
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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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using namespace perf;
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#define OCL_BFMATCHER_TYPICAL_MAT_SIZES ::testing::Values(cv::Size(128, 500), cv::Size(128, 1000), cv::Size(128, 2000))
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//////////////////// BruteForceMatch /////////////////
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typedef TestBaseWithParam<Size> BruteForceMatcherFixture;
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PERF_TEST_P(BruteForceMatcherFixture, match,
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OCL_BFMATCHER_TYPICAL_MAT_SIZES)
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{
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const Size srcSize = GetParam();
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vector<DMatch> matches;
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Mat query(srcSize, CV_32F), train(srcSize, CV_32F);
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declare.in(query, train).time(srcSize.height == 2000 ? 9 : 4 );
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randu(query, 0.0f, 1.0f);
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randu(train, 0.0f, 1.0f);
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if (RUN_PLAIN_IMPL)
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{
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BFMatcher matcher(NORM_L2);
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TEST_CYCLE() matcher.match(query, train, matches);
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SANITY_CHECK_MATCHES(matches);
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}
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else if (RUN_OCL_IMPL)
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{
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ocl::BruteForceMatcher_OCL_base oclMatcher(ocl::BruteForceMatcher_OCL_base::L2Dist);
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ocl::oclMat oclQuery(query), oclTrain(train);
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ocl::oclMat oclTrainIdx, oclDistance;
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OCL_TEST_CYCLE()
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oclMatcher.matchSingle(oclQuery, oclTrain, oclTrainIdx, oclDistance);
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oclMatcher.matchDownload(oclTrainIdx, oclDistance, matches);
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SANITY_CHECK_MATCHES(matches, 1e-5);
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}
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else
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OCL_PERF_ELSE
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}
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PERF_TEST_P(BruteForceMatcherFixture, knnMatch,
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OCL_BFMATCHER_TYPICAL_MAT_SIZES)
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{
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const Size srcSize = GetParam();
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vector<vector<DMatch> > matches(2);
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Mat query(srcSize, CV_32F), train(srcSize, CV_32F);
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randu(query, 0.0f, 1.0f);
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randu(train, 0.0f, 1.0f);
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declare.in(query, train);
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if (srcSize.height == 2000)
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declare.time(9);
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if (RUN_PLAIN_IMPL)
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{
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BFMatcher matcher(NORM_L2);
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TEST_CYCLE() matcher.knnMatch(query, train, matches, 2);
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std::vector<DMatch> & matches0 = matches[0], & matches1 = matches[1];
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SANITY_CHECK_MATCHES(matches0);
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SANITY_CHECK_MATCHES(matches1);
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}
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else if (RUN_OCL_IMPL)
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{
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ocl::BruteForceMatcher_OCL_base oclMatcher(ocl::BruteForceMatcher_OCL_base::L2Dist);
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ocl::oclMat oclQuery(query), oclTrain(train);
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ocl::oclMat oclTrainIdx, oclDistance, oclAllDist;
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OCL_TEST_CYCLE()
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oclMatcher.knnMatchSingle(oclQuery, oclTrain, oclTrainIdx, oclDistance, oclAllDist, 2);
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oclMatcher.knnMatchDownload(oclTrainIdx, oclDistance, matches);
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std::vector<DMatch> & matches0 = matches[0], & matches1 = matches[1];
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SANITY_CHECK_MATCHES(matches0, 1e-5);
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SANITY_CHECK_MATCHES(matches1, 1e-5);
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}
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else
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OCL_PERF_ELSE
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}
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PERF_TEST_P(BruteForceMatcherFixture, radiusMatch,
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OCL_BFMATCHER_TYPICAL_MAT_SIZES)
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{
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const Size srcSize = GetParam();
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const float max_distance = 2.0f;
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vector<vector<DMatch> > matches(2);
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Mat query(srcSize, CV_32F), train(srcSize, CV_32F);
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declare.in(query, train);
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randu(query, 0.0f, 1.0f);
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randu(train, 0.0f, 1.0f);
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if (srcSize.height == 2000)
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declare.time(9.15);
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if (RUN_PLAIN_IMPL)
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{
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cv::BFMatcher matcher(NORM_L2);
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TEST_CYCLE() matcher.radiusMatch(query, train, matches, max_distance);
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std::vector<DMatch> & matches0 = matches[0], & matches1 = matches[1];
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SANITY_CHECK_MATCHES(matches0);
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SANITY_CHECK_MATCHES(matches1);
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}
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else if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclQuery(query), oclTrain(train);
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ocl::BruteForceMatcher_OCL_base oclMatcher(ocl::BruteForceMatcher_OCL_base::L2Dist);
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ocl::oclMat oclTrainIdx, oclDistance, oclNMatches;
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OCL_TEST_CYCLE()
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oclMatcher.radiusMatchSingle(oclQuery, oclTrain, oclTrainIdx, oclDistance, oclNMatches, max_distance);
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oclMatcher.radiusMatchDownload(oclTrainIdx, oclDistance, oclNMatches, matches);
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std::vector<DMatch> & matches0 = matches[0], & matches1 = matches[1];
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SANITY_CHECK_MATCHES(matches0);
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SANITY_CHECK_MATCHES(matches1);
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}
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else
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OCL_PERF_ELSE
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}
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#undef OCL_BFMATCHER_TYPICAL_MAT_SIZES
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