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126 lines
4.5 KiB
126 lines
4.5 KiB
/*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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#include "opencv2/imgproc.hpp" |
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#include "opencv2/highgui.hpp" |
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#include "opencv2/core/ocl.hpp" |
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#ifdef HAVE_OPENCV_OCL |
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#include "opencv2/ocl.hpp" |
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using namespace std::tr1; |
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using namespace cv; |
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using namespace perf; |
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namespace cvtest { |
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namespace ocl { |
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///////////////////////// Retina //////////////////////// |
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typedef tuple<bool, int, double, double> RetinaParams; |
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typedef TestBaseWithParam<RetinaParams> RetinaFixture; |
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#define OCL_TEST_CYCLE() for(; startTimer(), next(); cv::ocl::finish(), stopTimer()) |
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PERF_TEST_P(RetinaFixture, Retina, |
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::testing::Combine(testing::Bool(), testing::Values((int)cv::bioinspired::RETINA_COLOR_BAYER), |
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testing::Values(1.0, 0.5), testing::Values(10.0, 5.0))) |
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{ |
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if (!cv::ocl::haveOpenCL()) |
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throw TestBase::PerfSkipTestException(); |
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RetinaParams params = GetParam(); |
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bool colorMode = get<0>(params), useLogSampling = false; |
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int colorSamplingMethod = get<1>(params); |
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double reductionFactor = get<2>(params), samplingStrength = get<3>(params); |
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Mat input = cv::imread(cvtest::TS::ptr()->get_data_path() + "shared/lena.png", colorMode); |
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ASSERT_FALSE(input.empty()); |
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Mat gold_parvo, gold_magno; |
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if (getSelectedImpl() == "plain") |
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{ |
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Ptr<bioinspired::Retina> gold_retina = bioinspired::createRetina( |
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input.size(), colorMode, colorSamplingMethod, |
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useLogSampling, reductionFactor, samplingStrength); |
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TEST_CYCLE() |
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{ |
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gold_retina->run(input); |
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gold_retina->getParvo(gold_parvo); |
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gold_retina->getMagno(gold_magno); |
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} |
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} |
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else if (getSelectedImpl() == "ocl") |
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{ |
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cv::ocl::oclMat ocl_input(input), ocl_parvo, ocl_magno; |
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Ptr<cv::bioinspired::Retina> ocl_retina = cv::bioinspired::createRetina_OCL( |
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input.size(), colorMode, colorSamplingMethod, useLogSampling, |
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reductionFactor, samplingStrength); |
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OCL_TEST_CYCLE() |
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{ |
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ocl_retina->run(ocl_input); |
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ocl_retina->getParvo(ocl_parvo); |
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ocl_retina->getMagno(ocl_magno); |
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} |
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} |
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else |
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CV_TEST_FAIL_NO_IMPL(); |
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SANITY_CHECK_NOTHING(); |
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} |
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} } // namespace cvtest::ocl |
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#endif // HAVE_OPENCV_OCL
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