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94 lines
3.6 KiB
C++
94 lines
3.6 KiB
C++
/*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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