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Open Source Computer Vision Library
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139 lines
4.8 KiB
139 lines
4.8 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) 2010-2013, Multicoreware, Inc., all rights reserved. |
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// Copyright (C) 2010-2013, 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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// Peng Xiao, pengxiao@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 oclMaterials 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 "test_precomp.hpp" |
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#include "opencv2/opencv_modules.hpp" |
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#include "opencv2/bioinspired.hpp" |
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#include "opencv2/imgproc.hpp" |
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#include "opencv2/highgui.hpp" |
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#if defined(HAVE_OPENCV_OCL) && defined(HAVE_OPENCL) |
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#include "opencv2/ocl.hpp" |
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#define RETINA_ITERATIONS 5 |
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static double checkNear(const cv::Mat &m1, const cv::Mat &m2) |
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{ |
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return cv::norm(m1, m2, cv::NORM_INF); |
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} |
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#define PARAM_TEST_CASE(name, ...) struct name : testing::TestWithParam< std::tr1::tuple< __VA_ARGS__ > > |
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#define GET_PARAM(k) std::tr1::get< k >(GetParam()) |
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PARAM_TEST_CASE(Retina_OCL, bool, int, bool, double, double) |
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{ |
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bool colorMode; |
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int colorSamplingMethod; |
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bool useLogSampling; |
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double reductionFactor; |
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double samplingStrength; |
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std::vector<cv::ocl::Info> infos; |
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virtual void SetUp() |
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{ |
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colorMode = GET_PARAM(0); |
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colorSamplingMethod = GET_PARAM(1); |
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useLogSampling = GET_PARAM(2); |
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reductionFactor = GET_PARAM(3); |
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samplingStrength = GET_PARAM(4); |
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cv::ocl::getDevice(infos); |
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std::cout << "Device name:" << infos[0].DeviceName[0] << std::endl; |
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} |
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}; |
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TEST_P(Retina_OCL, Accuracy) |
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{ |
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using namespace cv; |
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Mat input = imread(cvtest::TS::ptr()->get_data_path() + "shared/lena.png", colorMode); |
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CV_Assert(!input.empty()); |
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ocl::oclMat ocl_input(input); |
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Ptr<bioinspired::Retina> ocl_retina = bioinspired::createRetina_OCL( |
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input.size(), |
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colorMode, |
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colorSamplingMethod, |
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useLogSampling, |
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reductionFactor, |
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samplingStrength); |
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Ptr<bioinspired::Retina> gold_retina = bioinspired::createRetina( |
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input.size(), |
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colorMode, |
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colorSamplingMethod, |
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useLogSampling, |
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reductionFactor, |
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samplingStrength); |
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Mat gold_parvo; |
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Mat gold_magno; |
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ocl::oclMat ocl_parvo; |
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ocl::oclMat ocl_magno; |
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for(int i = 0; i < RETINA_ITERATIONS; i ++) |
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{ |
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ocl_retina->run(ocl_input); |
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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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ocl_retina->getParvo(ocl_parvo); |
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ocl_retina->getMagno(ocl_magno); |
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EXPECT_LE(checkNear(gold_parvo, (Mat)ocl_parvo), 1.0); |
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EXPECT_LE(checkNear(gold_magno, (Mat)ocl_magno), 1.0); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(Contrib, Retina_OCL, testing::Combine( |
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testing::Values(false, true), |
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testing::Values((int)cv::bioinspired::RETINA_COLOR_BAYER), |
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testing::Values(false/*,true*/), |
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testing::Values(1.0, 0.5), |
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testing::Values(10.0, 5.0))); |
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#endif
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