replaced gpu->cuda in files names
This commit is contained in:
Vladislav Vinogradov
355
modules/ts/src/cuda_perf.cpp
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355
modules/ts/src/cuda_perf.cpp
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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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#include "precomp.hpp"
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#include "opencv2/ts/cuda_perf.hpp"
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#include "opencv2/core/cuda.hpp"
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#ifdef HAVE_CUDA
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#include <cuda_runtime.h>
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#endif
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using namespace cv;
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using namespace std;
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namespace perf
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{
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Mat readImage(const string& fileName, int flags)
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{
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return imread(perf::TestBase::getDataPath(fileName), flags);
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}
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void PrintTo(const CvtColorInfo& info, std::ostream* os)
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{
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static const char* str[] =
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{
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"BGR2BGRA",
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"BGRA2BGR",
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"BGR2RGBA",
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"RGBA2BGR",
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"BGR2RGB",
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"BGRA2RGBA",
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"BGR2GRAY",
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"RGB2GRAY",
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"GRAY2BGR",
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"GRAY2BGRA",
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"BGRA2GRAY",
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"RGBA2GRAY",
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"BGR2BGR565",
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"RGB2BGR565",
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"BGR5652BGR",
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"BGR5652RGB",
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"BGRA2BGR565",
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"RGBA2BGR565",
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"BGR5652BGRA",
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"BGR5652RGBA",
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"GRAY2BGR565",
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"BGR5652GRAY",
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"BGR2BGR555",
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"RGB2BGR555",
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"BGR5552BGR",
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"BGR5552RGB",
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"BGRA2BGR555",
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"RGBA2BGR555",
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"BGR5552BGRA",
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"BGR5552RGBA",
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"GRAY2BGR555",
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"BGR5552GRAY",
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"BGR2XYZ",
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"RGB2XYZ",
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"XYZ2BGR",
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"XYZ2RGB",
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"BGR2YCrCb",
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"RGB2YCrCb",
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"YCrCb2BGR",
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"YCrCb2RGB",
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"BGR2HSV",
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"RGB2HSV",
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"",
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"",
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"BGR2Lab",
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"RGB2Lab",
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"BayerBG2BGR",
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"BayerGB2BGR",
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"BayerRG2BGR",
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"BayerGR2BGR",
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"BGR2Luv",
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"RGB2Luv",
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"BGR2HLS",
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"RGB2HLS",
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"HSV2BGR",
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"HSV2RGB",
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"Lab2BGR",
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"Lab2RGB",
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"Luv2BGR",
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"Luv2RGB",
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"HLS2BGR",
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"HLS2RGB",
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"BayerBG2BGR_VNG",
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"BayerGB2BGR_VNG",
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"BayerRG2BGR_VNG",
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"BayerGR2BGR_VNG",
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"BGR2HSV_FULL",
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"RGB2HSV_FULL",
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"BGR2HLS_FULL",
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"RGB2HLS_FULL",
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"HSV2BGR_FULL",
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"HSV2RGB_FULL",
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"HLS2BGR_FULL",
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"HLS2RGB_FULL",
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"LBGR2Lab",
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"LRGB2Lab",
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"LBGR2Luv",
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"LRGB2Luv",
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"Lab2LBGR",
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"Lab2LRGB",
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"Luv2LBGR",
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"Luv2LRGB",
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"BGR2YUV",
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"RGB2YUV",
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"YUV2BGR",
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"YUV2RGB",
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"BayerBG2GRAY",
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"BayerGB2GRAY",
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"BayerRG2GRAY",
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"BayerGR2GRAY",
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//YUV 4:2:0 formats family
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"YUV2RGB_NV12",
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"YUV2BGR_NV12",
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"YUV2RGB_NV21",
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"YUV2BGR_NV21",
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"YUV2RGBA_NV12",
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"YUV2BGRA_NV12",
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"YUV2RGBA_NV21",
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"YUV2BGRA_NV21",
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"YUV2RGB_YV12",
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"YUV2BGR_YV12",
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"YUV2RGB_IYUV",
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"YUV2BGR_IYUV",
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"YUV2RGBA_YV12",
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"YUV2BGRA_YV12",
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"YUV2RGBA_IYUV",
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"YUV2BGRA_IYUV",
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"YUV2GRAY_420",
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//YUV 4:2:2 formats family
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"YUV2RGB_UYVY",
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"YUV2BGR_UYVY",
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"YUV2RGB_VYUY",
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"YUV2BGR_VYUY",
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"YUV2RGBA_UYVY",
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"YUV2BGRA_UYVY",
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"YUV2RGBA_VYUY",
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"YUV2BGRA_VYUY",
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"YUV2RGB_YUY2",
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"YUV2BGR_YUY2",
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"YUV2RGB_YVYU",
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"YUV2BGR_YVYU",
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"YUV2RGBA_YUY2",
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"YUV2BGRA_YUY2",
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"YUV2RGBA_YVYU",
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"YUV2BGRA_YVYU",
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"YUV2GRAY_UYVY",
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"YUV2GRAY_YUY2",
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// alpha premultiplication
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"RGBA2mRGBA",
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"mRGBA2RGBA",
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"COLORCVT_MAX"
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};
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*os << str[info.code];
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}
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static void printOsInfo()
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{
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#if defined _WIN32
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# if defined _WIN64
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printf("[----------]\n[ GPU INFO ] \tRun on OS Windows x64.\n[----------]\n"), fflush(stdout);
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# else
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printf("[----------]\n[ GPU INFO ] \tRun on OS Windows x32.\n[----------]\n"), fflush(stdout);
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# endif
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#elif defined linux
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# if defined _LP64
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printf("[----------]\n[ GPU INFO ] \tRun on OS Linux x64.\n[----------]\n"), fflush(stdout);
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# else
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printf("[----------]\n[ GPU INFO ] \tRun on OS Linux x32.\n[----------]\n"), fflush(stdout);
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# endif
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#elif defined __APPLE__
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# if defined _LP64
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printf("[----------]\n[ GPU INFO ] \tRun on OS Apple x64.\n[----------]\n"), fflush(stdout);
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# else
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printf("[----------]\n[ GPU INFO ] \tRun on OS Apple x32.\n[----------]\n"), fflush(stdout);
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# endif
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#endif
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}
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void printCudaInfo()
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{
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printOsInfo();
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#ifndef HAVE_CUDA
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printf("[----------]\n[ GPU INFO ] \tOpenCV was built without CUDA support.\n[----------]\n"), fflush(stdout);
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#else
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int driver;
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cudaDriverGetVersion(&driver);
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printf("[----------]\n"), fflush(stdout);
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printf("[ GPU INFO ] \tCUDA Driver version: %d.\n", driver), fflush(stdout);
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printf("[ GPU INFO ] \tCUDA Runtime version: %d.\n", CUDART_VERSION), fflush(stdout);
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printf("[----------]\n"), fflush(stdout);
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printf("[----------]\n"), fflush(stdout);
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printf("[ GPU INFO ] \tGPU module was compiled for the following GPU archs.\n"), fflush(stdout);
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printf("[ BIN ] \t%s.\n", CUDA_ARCH_BIN), fflush(stdout);
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printf("[ PTX ] \t%s.\n", CUDA_ARCH_PTX), fflush(stdout);
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printf("[----------]\n"), fflush(stdout);
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printf("[----------]\n"), fflush(stdout);
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int deviceCount = cv::cuda::getCudaEnabledDeviceCount();
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printf("[ GPU INFO ] \tCUDA device count:: %d.\n", deviceCount), fflush(stdout);
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printf("[----------]\n"), fflush(stdout);
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for (int i = 0; i < deviceCount; ++i)
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{
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cv::cuda::DeviceInfo info(i);
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printf("[----------]\n"), fflush(stdout);
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printf("[ DEVICE ] \t# %d %s.\n", i, info.name()), fflush(stdout);
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printf("[ ] \tCompute capability: %d.%d\n", (int)info.majorVersion(), (int)info.minorVersion()), fflush(stdout);
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printf("[ ] \tMulti Processor Count: %d\n", info.multiProcessorCount()), fflush(stdout);
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printf("[ ] \tTotal memory: %d Mb\n", static_cast<int>(static_cast<int>(info.totalMemory() / 1024.0) / 1024.0)), fflush(stdout);
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printf("[ ] \tFree memory: %d Mb\n", static_cast<int>(static_cast<int>(info.freeMemory() / 1024.0) / 1024.0)), fflush(stdout);
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if (!info.isCompatible())
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printf("[ GPU INFO ] \tThis device is NOT compatible with current GPU module build\n");
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printf("[----------]\n"), fflush(stdout);
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}
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#endif
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}
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struct KeypointIdxCompare
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{
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std::vector<cv::KeyPoint>* keypoints;
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explicit KeypointIdxCompare(std::vector<cv::KeyPoint>* _keypoints) : keypoints(_keypoints) {}
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bool operator ()(size_t i1, size_t i2) const
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{
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cv::KeyPoint kp1 = (*keypoints)[i1];
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cv::KeyPoint kp2 = (*keypoints)[i2];
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if (kp1.pt.x != kp2.pt.x)
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return kp1.pt.x < kp2.pt.x;
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if (kp1.pt.y != kp2.pt.y)
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return kp1.pt.y < kp2.pt.y;
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if (kp1.response != kp2.response)
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return kp1.response < kp2.response;
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return kp1.octave < kp2.octave;
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}
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};
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void sortKeyPoints(std::vector<cv::KeyPoint>& keypoints, cv::InputOutputArray _descriptors)
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{
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std::vector<size_t> indexies(keypoints.size());
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for (size_t i = 0; i < indexies.size(); ++i)
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indexies[i] = i;
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std::sort(indexies.begin(), indexies.end(), KeypointIdxCompare(&keypoints));
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std::vector<cv::KeyPoint> new_keypoints;
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cv::Mat new_descriptors;
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new_keypoints.resize(keypoints.size());
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cv::Mat descriptors;
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if (_descriptors.needed())
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{
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descriptors = _descriptors.getMat();
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new_descriptors.create(descriptors.size(), descriptors.type());
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}
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for (size_t i = 0; i < indexies.size(); ++i)
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{
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size_t new_idx = indexies[i];
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new_keypoints[i] = keypoints[new_idx];
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if (!new_descriptors.empty())
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descriptors.row((int) new_idx).copyTo(new_descriptors.row((int) i));
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}
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keypoints.swap(new_keypoints);
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if (_descriptors.needed())
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new_descriptors.copyTo(_descriptors);
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}
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}
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