fee2ed37fc
Conflicts: modules/contrib/src/retina.cpp modules/core/include/opencv2/core/mat.hpp modules/core/src/algorithm.cpp modules/core/src/arithm.cpp modules/features2d/src/features2d_init.cpp modules/gpu/include/opencv2/gpu/gpu.hpp modules/gpu/perf/perf_imgproc.cpp modules/imgproc/src/generalized_hough.cpp modules/ocl/include/opencv2/ocl/ocl.hpp modules/video/src/tvl1flow.cpp modules/video/src/video_init.cpp
136 lines
4.8 KiB
C++
136 lines
4.8 KiB
C++
/*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 "perf_precomp.hpp"
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using namespace std;
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using namespace testing;
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using namespace perf;
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////////////////////////////////////////////////////////////////////////////////
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// MatchTemplate8U
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CV_ENUM(TemplateMethod, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED)
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DEF_PARAM_TEST(Sz_TemplateSz_Cn_Method, cv::Size, cv::Size, MatCn, TemplateMethod);
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PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate8U,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
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CUDA_CHANNELS_1_3_4,
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TemplateMethod::all()))
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{
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declare.time(300.0);
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const cv::Size size = GET_PARAM(0);
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const cv::Size templ_size = GET_PARAM(1);
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const int cn = GET_PARAM(2);
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const int method = GET_PARAM(3);
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cv::Mat image(size, CV_MAKE_TYPE(CV_8U, cn));
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cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_8U, cn));
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declare.in(image, templ, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_image(image);
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const cv::cuda::GpuMat d_templ(templ);
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cv::cuda::GpuMat dst;
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cv::Ptr<cv::cuda::TemplateMatching> alg = cv::cuda::createTemplateMatching(image.type(), method);
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TEST_CYCLE() alg->match(d_image, d_templ, dst);
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CUDA_SANITY_CHECK(dst, 1e-5, ERROR_RELATIVE);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);
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CPU_SANITY_CHECK(dst);
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}
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}
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////////////////////////////////////////////////////////////////////////////////
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// MatchTemplate32F
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PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate32F,
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Combine(CUDA_TYPICAL_MAT_SIZES,
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Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
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CUDA_CHANNELS_1_3_4,
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Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))))
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{
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declare.time(300.0);
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const cv::Size size = GET_PARAM(0);
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const cv::Size templ_size = GET_PARAM(1);
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const int cn = GET_PARAM(2);
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int method = GET_PARAM(3);
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cv::Mat image(size, CV_MAKE_TYPE(CV_32F, cn));
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cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_32F, cn));
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declare.in(image, templ, WARMUP_RNG);
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if (PERF_RUN_CUDA())
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{
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const cv::cuda::GpuMat d_image(image);
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const cv::cuda::GpuMat d_templ(templ);
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cv::cuda::GpuMat dst;
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cv::Ptr<cv::cuda::TemplateMatching> alg = cv::cuda::createTemplateMatching(image.type(), method);
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TEST_CYCLE() alg->match(d_image, d_templ, dst);
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CUDA_SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
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}
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else
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{
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cv::Mat dst;
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TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);
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CPU_SANITY_CHECK(dst);
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}
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}
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