/*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: // * Matthias Bady, aegirxx ==> gmail.com // //M*/ #include "perf_precomp.hpp" using namespace std; using namespace cv; using namespace ocl; using namespace perf; ///////////// BRIEF //////////////////////// typedef TestBaseWithParam > OCL_BRIEF; #define BRIEF_IMAGES \ "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\ "stitching/a3.png" PERF_TEST_P( OCL_BRIEF, extract, testing::Combine( testing::Values( BRIEF_IMAGES ), testing::Values( 16, 32, 64 ) ) ) { const int threshold = 20; const std::string filename = std::tr1::get<0>(GetParam( )); const int bytes = std::tr1::get<1>(GetParam( )); const Mat img = imread( getDataPath( filename ), IMREAD_GRAYSCALE ); ASSERT_FALSE( img.empty( ) ); if ( RUN_OCL_IMPL ) { oclMat d_img( img ); oclMat d_keypoints; FAST_OCL fast( threshold ); fast( d_img, oclMat( ), d_keypoints ); BRIEF_OCL brief( bytes ); OCL_TEST_CYCLE( ) { oclMat d_descriptors; brief.compute( d_img, d_keypoints, d_descriptors ); } std::vector ocl_keypoints; fast.downloadKeypoints( d_keypoints, ocl_keypoints ); SANITY_CHECK_KEYPOINTS( ocl_keypoints ); } else if ( RUN_PLAIN_IMPL ) { std::vector keypoints; FAST( img, keypoints, threshold ); BriefDescriptorExtractor brief( bytes ); TEST_CYCLE( ) { Mat descriptors; brief.compute( img, keypoints, descriptors ); } SANITY_CHECK_KEYPOINTS( keypoints ); } else OCL_PERF_ELSE; }