214 lines
		
	
	
		
			6.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			214 lines
		
	
	
		
			6.5 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) 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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