Open Source Computer Vision Library
https://opencv.org/
115 lines
4.8 KiB
115 lines
4.8 KiB
/*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 |
|
{ |
|
#ifdef OPENCV_TINY_GPU_MODULE |
|
#define ALL_BORDER_MODES testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_CONSTANT), BorderMode(cv::BORDER_REFLECT)) |
|
#define ALL_INTERPOLATIONS testing::Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_AREA)) |
|
#else |
|
#define ALL_BORDER_MODES BorderMode::all() |
|
#define ALL_INTERPOLATIONS Interpolation::all() |
|
#endif |
|
|
|
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<cv::KeyPoint>& keypoints, cv::InputOutputArray _descriptors = cv::noArray()); |
|
} |
|
|
|
#endif // __OPENCV_GPU_PERF_UTILITY_HPP__
|
|
|