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/*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::get;
//////////////////// BruteForceMatch /////////////////
typedef Size_MatType BruteForceMatcherFixture;
OCL_PERF_TEST_P(BruteForceMatcherFixture, Match,
::testing::Combine(OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
OCL_PERF_ENUM(MatType(CV_32FC1))))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
vector<DMatch> matches;
Mat query(srcSize, type), train(srcSize, type);
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,
::testing::Combine(OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
OCL_PERF_ENUM(MatType(CV_32FC1))))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
vector<vector<DMatch> > matches(2);
Mat query(srcSize, type), train(srcSize, type);
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<DMatch> & 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<DMatch> & 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,
::testing::Combine(OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
OCL_PERF_ENUM(MatType(CV_32FC1))))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
const float max_distance = 2.0f;
vector<vector<DMatch> > matches(2);
Mat query(srcSize, type), train(srcSize, type);
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<DMatch> & 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<DMatch> & matches0 = matches[0], & matches1 = matches[1];
SANITY_CHECK_MATCHES(matches0);
SANITY_CHECK_MATCHES(matches1);
}
else
OCL_PERF_ELSE
}