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