|
|
|
/*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 oclMaterials 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;
|
|
|
|
|
|
|
|
#define OCL_BFMATCHER_TYPICAL_MAT_SIZES ::testing::Values(cv::Size(128, 500), cv::Size(128, 1000), cv::Size(128, 2000))
|
|
|
|
|
|
|
|
//////////////////// BruteForceMatch /////////////////
|
|
|
|
|
|
|
|
typedef TestBaseWithParam<Size> BruteForceMatcherFixture;
|
|
|
|
|
|
|
|
PERF_TEST_P(BruteForceMatcherFixture, DISABLED_match,
|
|
|
|
OCL_BFMATCHER_TYPICAL_MAT_SIZES) // TODO too big difference between implementations
|
|
|
|
{
|
|
|
|
const Size srcSize = GetParam();
|
|
|
|
|
|
|
|
vector<DMatch> matches;
|
|
|
|
Mat query(srcSize, CV_32F), train(srcSize, CV_32F);
|
|
|
|
declare.in(query, train).time(srcSize.height == 2000 ? 9 : 4 );
|
|
|
|
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::oclMat oclTrainIdx, oclDistance;
|
|
|
|
|
|
|
|
OCL_TEST_CYCLE()
|
|
|
|
oclMatcher.matchSingle(oclQuery, oclTrain, oclTrainIdx, oclDistance);
|
|
|
|
|
|
|
|
oclMatcher.matchDownload(oclTrainIdx, oclDistance, matches);
|
|
|
|
|
|
|
|
SANITY_CHECK_MATCHES(matches);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
OCL_PERF_ELSE
|
|
|
|
}
|
|
|
|
|
|
|
|
PERF_TEST_P(BruteForceMatcherFixture, DISABLED_knnMatch,
|
|
|
|
OCL_BFMATCHER_TYPICAL_MAT_SIZES) // TODO too big difference between implementations
|
|
|
|
{
|
|
|
|
const Size srcSize = GetParam();
|
|
|
|
|
|
|
|
vector<vector<DMatch> > 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 (srcSize.height == 2000)
|
|
|
|
declare.time(9);
|
|
|
|
|
|
|
|
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, oclAllDist;
|
|
|
|
|
|
|
|
OCL_TEST_CYCLE()
|
|
|
|
oclMatcher.knnMatchSingle(oclQuery, oclTrain, oclTrainIdx, oclDistance, oclAllDist, 2);
|
|
|
|
|
|
|
|
oclMatcher.knnMatchDownload(oclTrainIdx, oclDistance, matches);
|
|
|
|
|
|
|
|
std::vector<DMatch> & matches0 = matches[0], & matches1 = matches[1];
|
|
|
|
SANITY_CHECK_MATCHES(matches0);
|
|
|
|
SANITY_CHECK_MATCHES(matches1);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
OCL_PERF_ELSE
|
|
|
|
}
|
|
|
|
|
|
|
|
PERF_TEST_P(BruteForceMatcherFixture, radiusMatch,
|
|
|
|
OCL_BFMATCHER_TYPICAL_MAT_SIZES)
|
|
|
|
{
|
|
|
|
const Size srcSize = GetParam();
|
|
|
|
|
|
|
|
const float max_distance = 2.0f;
|
|
|
|
vector<vector<DMatch> > matches(2);
|
|
|
|
Mat query(srcSize, CV_32F), train(srcSize, CV_32F);
|
|
|
|
declare.in(query, train);
|
|
|
|
|
|
|
|
randu(query, 0.0f, 1.0f);
|
|
|
|
randu(train, 0.0f, 1.0f);
|
|
|
|
|
|
|
|
if (srcSize.height == 2000)
|
|
|
|
declare.time(9.15);
|
|
|
|
|
|
|
|
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.radiusMatchSingle(oclQuery, oclTrain, oclTrainIdx, oclDistance, oclNMatches, 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
|
|
|
|
}
|
|
|
|
|
|
|
|
#undef OCL_BFMATCHER_TYPICAL_MAT_SIZES
|