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93 lines
3.6 KiB
93 lines
3.6 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) 2013, OpenCV Foundation, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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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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// Authors: |
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// * Peter Andreas Entschev, peter@entschev.com |
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// |
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//M*/ |
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#include "perf_precomp.hpp" |
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using namespace perf; |
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///////////// FAST //////////////////////// |
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typedef std::tr1::tuple<std::string, int, bool> Image_Threshold_NonmaxSupression_t; |
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typedef perf::TestBaseWithParam<Image_Threshold_NonmaxSupression_t> Image_Threshold_NonmaxSupression; |
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PERF_TEST_P(Image_Threshold_NonmaxSupression, FAST, |
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testing::Combine(testing::Values<string>("gpu/perf/aloe.png"), |
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testing::Values(20), |
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testing::Bool())) |
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{ |
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const Image_Threshold_NonmaxSupression_t params = GetParam(); |
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const std::string imgFile = std::tr1::get<0>(params); |
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const int threshold = std::tr1::get<1>(params); |
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const bool nonmaxSupression = std::tr1::get<2>(params); |
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const cv::Mat img = imread(getDataPath(imgFile), cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(img.empty()); |
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if (RUN_OCL_IMPL) |
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{ |
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cv::ocl::FAST_OCL fast(threshold, nonmaxSupression, 0.5); |
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cv::ocl::oclMat d_img(img); |
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cv::ocl::oclMat d_keypoints; |
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OCL_TEST_CYCLE() fast(d_img, cv::ocl::oclMat(), d_keypoints); |
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std::vector<cv::KeyPoint> ocl_keypoints; |
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fast.downloadKeypoints(d_keypoints, ocl_keypoints); |
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sortKeyPoints(ocl_keypoints); |
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SANITY_CHECK_KEYPOINTS(ocl_keypoints); |
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} |
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else if (RUN_PLAIN_IMPL) |
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{ |
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std::vector<cv::KeyPoint> cpu_keypoints; |
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TEST_CYCLE() cv::FAST(img, cpu_keypoints, threshold, nonmaxSupression); |
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SANITY_CHECK_KEYPOINTS(cpu_keypoints); |
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} |
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else |
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OCL_PERF_ELSE; |
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}
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