/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Peng Xiao, pengxiao@multicorewareinc.com // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors as is and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "perf_precomp.hpp" #ifdef HAVE_OPENCV_OCL using namespace cv; using namespace cv::ocl; using namespace std; typedef perf::TestBaseWithParam<std::string> OCL_SURF; #define SURF_IMAGES \ "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\ "stitching/a3.png" #define OCL_TEST_CYCLE() for( ; startTimer(), next(); cv::ocl::finish(), stopTimer()) PERF_TEST_P(OCL_SURF, DISABLED_with_data_transfer, testing::Values(SURF_IMAGES)) { string filename = getDataPath(GetParam()); Mat src = imread(filename, IMREAD_GRAYSCALE); ASSERT_FALSE(src.empty()); Mat cpu_kp, cpu_dp; declare.time(60); if (getSelectedImpl() == "ocl") { SURF_OCL d_surf; oclMat d_keypoints, d_descriptors; OCL_TEST_CYCLE() { oclMat d_src(src); d_surf(d_src, oclMat(), d_keypoints, d_descriptors); d_keypoints.download(cpu_kp); d_descriptors.download(cpu_dp); } } else if (getSelectedImpl() == "plain") { cv::SURF surf; std::vector<cv::KeyPoint> kp; TEST_CYCLE() surf(src, Mat(), kp, cpu_dp); } SANITY_CHECK_NOTHING(); } PERF_TEST_P(OCL_SURF, DISABLED_without_data_transfer, testing::Values(SURF_IMAGES)) { string filename = getDataPath(GetParam()); Mat src = imread(filename, IMREAD_GRAYSCALE); ASSERT_FALSE(src.empty()); Mat cpu_kp, cpu_dp; declare.time(60); if (getSelectedImpl() == "ocl") { SURF_OCL d_surf; oclMat d_keypoints, d_descriptors, d_src(src); OCL_TEST_CYCLE() d_surf(d_src, oclMat(), d_keypoints, d_descriptors); } else if (getSelectedImpl() == "plain") { cv::SURF surf; std::vector<cv::KeyPoint> kp; TEST_CYCLE() surf(src, Mat(), kp, cpu_dp); } SANITY_CHECK_NOTHING(); } PERF_TEST_P(OCL_SURF, DISABLED_detect, testing::Values(SURF_IMAGES)) { String filename = getDataPath(GetParam()); Mat frame = imread(filename, IMREAD_GRAYSCALE); ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename; declare.in(frame); Mat mask; vector<KeyPoint> points; Ptr<Feature2D> detector; if (getSelectedImpl() == "plain") { detector = new SURF; TEST_CYCLE() detector->operator()(frame, mask, points, noArray()); } else if (getSelectedImpl() == "ocl") { detector = new ocl::SURF_OCL; OCL_TEST_CYCLE() detector->operator()(frame, mask, points, noArray()); } else CV_TEST_FAIL_NO_IMPL(); SANITY_CHECK_KEYPOINTS(points, 1e-3); } PERF_TEST_P(OCL_SURF, DISABLED_extract, testing::Values(SURF_IMAGES)) { String filename = getDataPath(GetParam()); Mat frame = imread(filename, IMREAD_GRAYSCALE); ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename; declare.in(frame); Mat mask; Ptr<Feature2D> detector; vector<KeyPoint> points; vector<float> descriptors; if (getSelectedImpl() == "plain") { detector = new SURF; detector->operator()(frame, mask, points, noArray()); TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, true); } else if (getSelectedImpl() == "ocl") { detector = new ocl::SURF_OCL; detector->operator()(frame, mask, points, noArray()); OCL_TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, true); } else CV_TEST_FAIL_NO_IMPL(); SANITY_CHECK(descriptors, 1e-4); } PERF_TEST_P(OCL_SURF, DISABLED_full, testing::Values(SURF_IMAGES)) { String filename = getDataPath(GetParam()); Mat frame = imread(filename, IMREAD_GRAYSCALE); ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename; declare.in(frame).time(90); Mat mask; Ptr<Feature2D> detector; vector<KeyPoint> points; vector<float> descriptors; if (getSelectedImpl() == "plain") { detector = new SURF; TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, false); } else if (getSelectedImpl() == "ocl") { detector = new ocl::SURF_OCL; detector->operator()(frame, mask, points, noArray()); OCL_TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, false); } else CV_TEST_FAIL_NO_IMPL(); SANITY_CHECK_KEYPOINTS(points, 1e-3); SANITY_CHECK(descriptors, 1e-4); } #endif // HAVE_OPENCV_OCL