mirror of
https://github.com/opencv/opencv.git
synced 2024-11-27 04:36:36 +08:00
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///////////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// 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*/
|
|
|
|
#include "perf_precomp.hpp"
|
|
|
|
using namespace std;
|
|
using namespace testing;
|
|
using namespace perf;
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// MatchTemplate8U
|
|
|
|
CV_ENUM(TemplateMethod, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED)
|
|
|
|
DEF_PARAM_TEST(Sz_TemplateSz_Cn_Method, cv::Size, cv::Size, MatCn, TemplateMethod);
|
|
|
|
PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate8U,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
|
|
CUDA_CHANNELS_1_3_4,
|
|
TemplateMethod::all()))
|
|
{
|
|
declare.time(300.0);
|
|
|
|
const cv::Size size = GET_PARAM(0);
|
|
const cv::Size templ_size = GET_PARAM(1);
|
|
const int cn = GET_PARAM(2);
|
|
const int method = GET_PARAM(3);
|
|
|
|
cv::Mat image(size, CV_MAKE_TYPE(CV_8U, cn));
|
|
cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_8U, cn));
|
|
declare.in(image, templ, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_image(image);
|
|
const cv::cuda::GpuMat d_templ(templ);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
cv::Ptr<cv::cuda::TemplateMatching> alg = cv::cuda::createTemplateMatching(image.type(), method);
|
|
|
|
TEST_CYCLE() alg->match(d_image, d_templ, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst, 1e-5, ERROR_RELATIVE);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// MatchTemplate32F
|
|
|
|
PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate32F,
|
|
Combine(CUDA_TYPICAL_MAT_SIZES,
|
|
Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
|
|
CUDA_CHANNELS_1_3_4,
|
|
Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))))
|
|
{
|
|
declare.time(300.0);
|
|
|
|
const cv::Size size = GET_PARAM(0);
|
|
const cv::Size templ_size = GET_PARAM(1);
|
|
const int cn = GET_PARAM(2);
|
|
int method = GET_PARAM(3);
|
|
|
|
cv::Mat image(size, CV_MAKE_TYPE(CV_32F, cn));
|
|
cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_32F, cn));
|
|
declare.in(image, templ, WARMUP_RNG);
|
|
|
|
if (PERF_RUN_CUDA())
|
|
{
|
|
const cv::cuda::GpuMat d_image(image);
|
|
const cv::cuda::GpuMat d_templ(templ);
|
|
cv::cuda::GpuMat dst;
|
|
|
|
cv::Ptr<cv::cuda::TemplateMatching> alg = cv::cuda::createTemplateMatching(image.type(), method);
|
|
|
|
TEST_CYCLE() alg->match(d_image, d_templ, dst);
|
|
|
|
CUDA_SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
|
|
}
|
|
else
|
|
{
|
|
cv::Mat dst;
|
|
|
|
TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);
|
|
|
|
CPU_SANITY_CHECK(dst);
|
|
}
|
|
}
|