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/*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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// 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 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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#ifdef HAVE_OPENCV_OCL
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using namespace cv;
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using namespace cv::ocl;
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using namespace std;
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typedef perf::TestBaseWithParam<std::string> OCL_SURF;
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#define SURF_IMAGES \
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"cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
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"stitching/a3.png"
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#define OCL_TEST_CYCLE() for( ; startTimer(), next(); cv::ocl::finish(), stopTimer())
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PERF_TEST_P(OCL_SURF, DISABLED_with_data_transfer, testing::Values(SURF_IMAGES))
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{
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string filename = getDataPath(GetParam());
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Mat src = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(src.empty());
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Mat cpu_kp, cpu_dp;
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declare.time(60);
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if (getSelectedImpl() == "ocl")
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{
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SURF_OCL d_surf;
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oclMat d_keypoints, d_descriptors;
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OCL_TEST_CYCLE()
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{
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oclMat d_src(src);
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d_surf(d_src, oclMat(), d_keypoints, d_descriptors);
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d_keypoints.download(cpu_kp);
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d_descriptors.download(cpu_dp);
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}
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}
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else if (getSelectedImpl() == "plain")
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{
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cv::SURF surf;
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std::vector<cv::KeyPoint> kp;
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TEST_CYCLE() surf(src, Mat(), kp, cpu_dp);
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}
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P(OCL_SURF, DISABLED_without_data_transfer, testing::Values(SURF_IMAGES))
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{
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string filename = getDataPath(GetParam());
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Mat src = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(src.empty());
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Mat cpu_kp, cpu_dp;
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declare.time(60);
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if (getSelectedImpl() == "ocl")
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{
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SURF_OCL d_surf;
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oclMat d_keypoints, d_descriptors, d_src(src);
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OCL_TEST_CYCLE() d_surf(d_src, oclMat(), d_keypoints, d_descriptors);
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}
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else if (getSelectedImpl() == "plain")
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{
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cv::SURF surf;
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std::vector<cv::KeyPoint> kp;
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TEST_CYCLE() surf(src, Mat(), kp, cpu_dp);
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}
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P(OCL_SURF, DISABLED_detect, testing::Values(SURF_IMAGES))
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{
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String filename = getDataPath(GetParam());
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Mat frame = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename;
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declare.in(frame);
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Mat mask;
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vector<KeyPoint> points;
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Ptr<Feature2D> detector;
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if (getSelectedImpl() == "plain")
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{
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detector = new SURF;
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TEST_CYCLE() detector->operator()(frame, mask, points, noArray());
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}
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else if (getSelectedImpl() == "ocl")
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{
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detector = new ocl::SURF_OCL;
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OCL_TEST_CYCLE() detector->operator()(frame, mask, points, noArray());
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}
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else CV_TEST_FAIL_NO_IMPL();
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SANITY_CHECK_KEYPOINTS(points, 1e-3);
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}
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PERF_TEST_P(OCL_SURF, DISABLED_extract, testing::Values(SURF_IMAGES))
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{
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String filename = getDataPath(GetParam());
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Mat frame = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename;
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declare.in(frame);
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Mat mask;
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Ptr<Feature2D> detector;
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vector<KeyPoint> points;
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vector<float> descriptors;
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if (getSelectedImpl() == "plain")
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{
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detector = new SURF;
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detector->operator()(frame, mask, points, noArray());
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TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, true);
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}
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else if (getSelectedImpl() == "ocl")
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{
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detector = new ocl::SURF_OCL;
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detector->operator()(frame, mask, points, noArray());
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OCL_TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, true);
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}
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else CV_TEST_FAIL_NO_IMPL();
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SANITY_CHECK(descriptors, 1e-4);
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}
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PERF_TEST_P(OCL_SURF, DISABLED_full, testing::Values(SURF_IMAGES))
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{
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String filename = getDataPath(GetParam());
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Mat frame = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename;
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declare.in(frame).time(90);
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Mat mask;
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Ptr<Feature2D> detector;
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vector<KeyPoint> points;
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vector<float> descriptors;
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if (getSelectedImpl() == "plain")
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{
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detector = new SURF;
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TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, false);
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}
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else if (getSelectedImpl() == "ocl")
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{
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detector = new ocl::SURF_OCL;
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detector->operator()(frame, mask, points, noArray());
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OCL_TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, false);
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}
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else CV_TEST_FAIL_NO_IMPL();
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SANITY_CHECK_KEYPOINTS(points, 1e-3);
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SANITY_CHECK(descriptors, 1e-4);
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}
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#endif // HAVE_OPENCV_OCL
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