/*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) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., 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. // //M*/ #ifndef __OPENCV_GPU_PERF_UTILITY_HPP__ #define __OPENCV_GPU_PERF_UTILITY_HPP__ #include "opencv2/core/core.hpp" #include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include "opencv2/ts/ts_perf.hpp" namespace perf { #define ALL_BORDER_MODES BorderMode::all() #define ALL_INTERPOLATIONS Interpolation::all() CV_ENUM(BorderMode, BORDER_REFLECT101, BORDER_REPLICATE, BORDER_CONSTANT, BORDER_REFLECT, BORDER_WRAP) CV_ENUM(Interpolation, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_AREA) CV_ENUM(NormType, NORM_INF, NORM_L1, NORM_L2, NORM_HAMMING, NORM_MINMAX) enum { Gray = 1, TwoChannel = 2, BGR = 3, BGRA = 4 }; CV_ENUM(MatCn, Gray, TwoChannel, BGR, BGRA) #define GPU_CHANNELS_1_3_4 testing::Values(MatCn(Gray), MatCn(BGR), MatCn(BGRA)) #define GPU_CHANNELS_1_3 testing::Values(MatCn(Gray), MatCn(BGR)) #define GET_PARAM(k) std::tr1::get< k >(GetParam()) #define DEF_PARAM_TEST(name, ...) typedef ::perf::TestBaseWithParam< std::tr1::tuple< __VA_ARGS__ > > name #define DEF_PARAM_TEST_1(name, param_type) typedef ::perf::TestBaseWithParam< param_type > name DEF_PARAM_TEST_1(Sz, cv::Size); typedef perf::Size_MatType Sz_Type; DEF_PARAM_TEST(Sz_Depth, cv::Size, perf::MatDepth); DEF_PARAM_TEST(Sz_Depth_Cn, cv::Size, perf::MatDepth, MatCn); #define GPU_TYPICAL_MAT_SIZES testing::Values(perf::sz720p, perf::szSXGA, perf::sz1080p) #define FAIL_NO_CPU() FAIL() << "No such CPU implementation analogy" #define GPU_SANITY_CHECK(mat, ...) \ do{ \ cv::Mat gpu_##mat(mat); \ SANITY_CHECK(gpu_##mat, ## __VA_ARGS__); \ } while(0) #define CPU_SANITY_CHECK(mat, ...) \ do{ \ cv::Mat cpu_##mat(mat); \ SANITY_CHECK(cpu_##mat, ## __VA_ARGS__); \ } while(0) CV_EXPORTS cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR); struct CvtColorInfo { int scn; int dcn; int code; CvtColorInfo() {} explicit CvtColorInfo(int scn_, int dcn_, int code_) : scn(scn_), dcn(dcn_), code(code_) {} }; CV_EXPORTS void PrintTo(const CvtColorInfo& info, std::ostream* os); CV_EXPORTS void printCudaInfo(); CV_EXPORTS void sortKeyPoints(std::vector& keypoints, cv::InputOutputArray _descriptors = cv::noArray()); } #endif // __OPENCV_GPU_PERF_UTILITY_HPP__