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vendor: OpenCV 5.0.0 snapshot at 40738fb16ceddb5fb3fea747585f7ce6abb0605b

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modules/features/perf/opencl/perf_brute_force_matcher.cpp
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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"
#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
namespace opencv_test {
namespace ocl {
//////////////////// 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);
checkDeviceMaxMemoryAllocSize(srcSize, type);
vector<DMatch> matches;
UMat uquery(srcSize, type), utrain(srcSize, type);
declare.in(uquery, utrain, WARMUP_RNG);
BFMatcher matcher(NORM_L2);
OCL_TEST_CYCLE()
matcher.match(uquery, utrain, matches);
SANITY_CHECK_MATCHES(matches, 1e-3);
}
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);
checkDeviceMaxMemoryAllocSize(srcSize, type);
vector< vector<DMatch> > matches;
UMat uquery(srcSize, type), utrain(srcSize, type);
declare.in(uquery, utrain, WARMUP_RNG);
BFMatcher matcher(NORM_L2);
OCL_TEST_CYCLE()
matcher.knnMatch(uquery, utrain, matches, 2);
vector<DMatch> & matches0 = matches[0], & matches1 = matches[1];
SANITY_CHECK_MATCHES(matches0, 1e-3);
SANITY_CHECK_MATCHES(matches1, 1e-3);
}
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);
checkDeviceMaxMemoryAllocSize(srcSize, type);
vector< vector<DMatch> > matches;
UMat uquery(srcSize, type), utrain(srcSize, type);
declare.in(uquery, utrain, WARMUP_RNG);
BFMatcher matcher(NORM_L2);
OCL_TEST_CYCLE()
matcher.radiusMatch(uquery, utrain, matches, 2.0f);
vector<DMatch> & matches0 = matches[0], & matches1 = matches[1];
SANITY_CHECK_MATCHES(matches0, 1e-3);
SANITY_CHECK_MATCHES(matches1, 1e-3);
}
OCL_PERF_TEST_P(BruteForceMatcherFixture, MatchCrossCheck, ::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);
checkDeviceMaxMemoryAllocSize(srcSize, type);
vector<DMatch> matches;
UMat uquery(srcSize, type), utrain(srcSize, type);
declare.in(uquery, utrain, WARMUP_RNG);
BFMatcher matcher(NORM_L2, true /*crossCheck*/);
OCL_TEST_CYCLE()
matcher.match(uquery, utrain, matches);
SANITY_CHECK_MATCHES(matches, 1e-3);
}
} // ocl
} // cvtest
#endif // HAVE_OPENCL
modules/features/perf/opencl/perf_feature2d.cpp
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#include "../perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"
#include "../perf_feature2d.hpp"
#ifdef HAVE_OPENCL
namespace opencv_test {
namespace ocl {
OCL_PERF_TEST_P(feature2d, detect, testing::Combine(Feature2DType::all(), TEST_IMAGES))
{
Ptr<Feature2D> detector = getFeature2D(get<0>(GetParam()));
std::string filename = getDataPath(get<1>(GetParam()));
Mat mimg = imread(filename, IMREAD_GRAYSCALE);
ASSERT_FALSE(mimg.empty());
ASSERT_TRUE(detector);
UMat img, mask;
mimg.copyTo(img);
declare.in(img);
vector<KeyPoint> points;
OCL_TEST_CYCLE() detector->detect(img, points, mask);
EXPECT_GT(points.size(), 20u);
SANITY_CHECK_NOTHING();
}
OCL_PERF_TEST_P(feature2d, extract, testing::Combine(testing::Values(DETECTORS_EXTRACTORS), TEST_IMAGES))
{
Ptr<Feature2D> detector = ORB::create();
Ptr<Feature2D> extractor = getFeature2D(get<0>(GetParam()));
std::string filename = getDataPath(get<1>(GetParam()));
Mat mimg = imread(filename, IMREAD_GRAYSCALE);
ASSERT_FALSE(mimg.empty());
ASSERT_TRUE(extractor);
UMat img, mask;
mimg.copyTo(img);
declare.in(img);
vector<KeyPoint> points;
detector->detect(img, points, mask);
EXPECT_GT(points.size(), 20u);
UMat descriptors;
OCL_TEST_CYCLE() extractor->compute(img, points, descriptors);
EXPECT_EQ((size_t)descriptors.rows, points.size());
SANITY_CHECK_NOTHING();
}
OCL_PERF_TEST_P(feature2d, detectAndExtract, testing::Combine(testing::Values(DETECTORS_EXTRACTORS), TEST_IMAGES))
{
Ptr<Feature2D> detector = getFeature2D(get<0>(GetParam()));
std::string filename = getDataPath(get<1>(GetParam()));
Mat mimg = imread(filename, IMREAD_GRAYSCALE);
ASSERT_FALSE(mimg.empty());
ASSERT_TRUE(detector);
UMat img, mask;
mimg.copyTo(img);
declare.in(img);
vector<KeyPoint> points;
UMat descriptors;
OCL_TEST_CYCLE() detector->detectAndCompute(img, mask, points, descriptors, false);
EXPECT_GT(points.size(), 20u);
EXPECT_EQ((size_t)descriptors.rows, points.size());
SANITY_CHECK_NOTHING();
}
} // ocl
} // cvtest
#endif // HAVE_OPENCL
modules/features/perf/opencl/perf_gftt.cpp
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///////////////////////////////////////////////////////////////////////////////////////
//
// 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, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
//
// 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"
#include "opencv2/ts/ocl_perf.hpp"
#include <sstream>
#ifdef HAVE_OPENCL
namespace opencv_test {
namespace ocl {
//////////////////////////// GoodFeaturesToTrack //////////////////////////
typedef tuple<String, double, bool> GoodFeaturesToTrackParams;
typedef TestBaseWithParam<GoodFeaturesToTrackParams> GoodFeaturesToTrackFixture;
OCL_PERF_TEST_P(GoodFeaturesToTrackFixture, GoodFeaturesToTrack,
::testing::Combine(OCL_PERF_ENUM(String("gpu/opticalflow/rubberwhale1.png")),
OCL_PERF_ENUM(0.0, 3.0), Bool()))
{
GoodFeaturesToTrackParams params = GetParam();
const String fileName = get<0>(params);
const double minDistance = get<1>(params), qualityLevel = 0.01;
const bool harrisDetector = get<2>(params);
const int maxCorners = 1000;
Mat img = imread(getDataPath(fileName), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty()) << "could not load " << fileName;
checkDeviceMaxMemoryAllocSize(img.size(), img.type());
UMat src(img.size(), img.type()), dst(1, maxCorners, CV_32FC2);
img.copyTo(src);
declare.in(src, WARMUP_READ).out(dst);
OCL_TEST_CYCLE() cv::goodFeaturesToTrack(src, dst, maxCorners, qualityLevel,
minDistance, noArray(), 3, 3, harrisDetector, 0.04);
SANITY_CHECK(dst);
}
OCL_PERF_TEST_P(GoodFeaturesToTrackFixture, GoodFeaturesToTrackWithQuality,
::testing::Combine(OCL_PERF_ENUM(String("gpu/opticalflow/rubberwhale1.png")),
OCL_PERF_ENUM(3.0), Bool()))
{
GoodFeaturesToTrackParams params = GetParam();
const String fileName = get<0>(params);
const double minDistance = get<1>(params), qualityLevel = 0.01;
const bool harrisDetector = get<2>(params);
const int maxCorners = 1000;
Mat img = imread(getDataPath(fileName), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty()) << "could not load " << fileName;
checkDeviceMaxMemoryAllocSize(img.size(), img.type());
UMat src(img.size(), img.type()), dst(1, maxCorners, CV_32FC2);
img.copyTo(src);
std::vector<float> cornersQuality;
declare.in(src, WARMUP_READ).out(dst);
OCL_TEST_CYCLE() cv::goodFeaturesToTrack(src, dst, maxCorners, qualityLevel, minDistance,
noArray(), cornersQuality, 3, 3, harrisDetector, 0.04);
SANITY_CHECK(dst);
SANITY_CHECK(cornersQuality, 1e-6);
}
} } // namespace opencv_test::ocl
#endif