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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
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