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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef __OPENCV_GPU_PERF_UTILITY_HPP__
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#define __OPENCV_GPU_PERF_UTILITY_HPP__
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#include "opencv2/core/core.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/ts/ts_perf.hpp"
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namespace perf
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{
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#define ALL_BORDER_MODES BorderMode::all()
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#define ALL_INTERPOLATIONS Interpolation::all()
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CV_ENUM(BorderMode, BORDER_REFLECT101, BORDER_REPLICATE, BORDER_CONSTANT, BORDER_REFLECT, BORDER_WRAP)
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CV_ENUM(Interpolation, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_AREA)
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CV_ENUM(NormType, NORM_INF, NORM_L1, NORM_L2, NORM_HAMMING, NORM_MINMAX)
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enum { Gray = 1, TwoChannel = 2, BGR = 3, BGRA = 4 };
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CV_ENUM(MatCn, Gray, TwoChannel, BGR, BGRA)
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#define GPU_CHANNELS_1_3_4 testing::Values(MatCn(Gray), MatCn(BGR), MatCn(BGRA))
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#define GPU_CHANNELS_1_3 testing::Values(MatCn(Gray), MatCn(BGR))
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#define GET_PARAM(k) std::tr1::get< k >(GetParam())
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#define DEF_PARAM_TEST(name, ...) typedef ::perf::TestBaseWithParam< std::tr1::tuple< __VA_ARGS__ > > name
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#define DEF_PARAM_TEST_1(name, param_type) typedef ::perf::TestBaseWithParam< param_type > name
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DEF_PARAM_TEST_1(Sz, cv::Size);
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typedef perf::Size_MatType Sz_Type;
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DEF_PARAM_TEST(Sz_Depth, cv::Size, perf::MatDepth);
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DEF_PARAM_TEST(Sz_Depth_Cn, cv::Size, perf::MatDepth, MatCn);
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#define GPU_TYPICAL_MAT_SIZES testing::Values(perf::sz720p, perf::szSXGA, perf::sz1080p)
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#define FAIL_NO_CPU() FAIL() << "No such CPU implementation analogy"
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#define GPU_SANITY_CHECK(mat, ...) \
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do{ \
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cv::Mat gpu_##mat(mat); \
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SANITY_CHECK(gpu_##mat, ## __VA_ARGS__); \
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} while(0)
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#define CPU_SANITY_CHECK(mat, ...) \
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do{ \
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cv::Mat cpu_##mat(mat); \
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SANITY_CHECK(cpu_##mat, ## __VA_ARGS__); \
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} while(0)
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CV_EXPORTS cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
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struct CvtColorInfo
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{
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int scn;
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int dcn;
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int code;
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CvtColorInfo() {}
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explicit CvtColorInfo(int scn_, int dcn_, int code_) : scn(scn_), dcn(dcn_), code(code_) {}
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};
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CV_EXPORTS void PrintTo(const CvtColorInfo& info, std::ostream* os);
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CV_EXPORTS void printCudaInfo();
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CV_EXPORTS void sortKeyPoints(std::vector<cv::KeyPoint>& keypoints, cv::InputOutputArray _descriptors = cv::noArray());
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}
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#endif // __OPENCV_GPU_PERF_UTILITY_HPP__
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