mirror of
https://github.com/opencv/opencv.git
synced 2024-11-30 06:10:02 +08:00
138 lines
5.2 KiB
C++
138 lines
5.2 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) 2010-2012, Multicoreware, Inc., all rights reserved.
|
|
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
|
|
// Third party copyrights are property of their respective owners.
|
|
//
|
|
// @Authors
|
|
// Peng Xiao, pengxiao@multicorewareinc.com
|
|
// 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 "test_precomp.hpp"
|
|
|
|
#ifdef HAVE_OPENCL
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// MatchTemplate
|
|
#define ALL_TEMPLATE_METHODS testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR), TemplateMethod(cv::TM_CCOEFF), TemplateMethod(cv::TM_SQDIFF_NORMED), TemplateMethod(cv::TM_CCORR_NORMED), TemplateMethod(cv::TM_CCOEFF_NORMED))
|
|
|
|
IMPLEMENT_PARAM_CLASS(TemplateSize, cv::Size);
|
|
|
|
#define MTEMP_SIZES testing::Values(cv::Size(128, 256), cv::Size(1024, 768))
|
|
|
|
PARAM_TEST_CASE(MatchTemplate8U, cv::Size, TemplateSize, Channels, TemplateMethod)
|
|
{
|
|
cv::Size size;
|
|
cv::Size templ_size;
|
|
int cn;
|
|
int method;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
size = GET_PARAM(0);
|
|
templ_size = GET_PARAM(1);
|
|
cn = GET_PARAM(2);
|
|
method = GET_PARAM(3);
|
|
}
|
|
};
|
|
|
|
OCL_TEST_P(MatchTemplate8U, Accuracy)
|
|
{
|
|
cv::Mat image = randomMat(size, CV_MAKETYPE(CV_8U, cn), 0, 255);
|
|
cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_8U, cn), 0, 255);
|
|
|
|
cv::ocl::oclMat dst, ocl_image(image), ocl_templ(templ);
|
|
cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::matchTemplate(image, templ, dst_gold, method);
|
|
|
|
cv::Mat mat_dst;
|
|
dst.download(mat_dst);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, mat_dst, templ_size.area() * 1e-1);
|
|
}
|
|
|
|
PARAM_TEST_CASE(MatchTemplate32F, cv::Size, TemplateSize, Channels, TemplateMethod)
|
|
{
|
|
cv::Size size;
|
|
cv::Size templ_size;
|
|
int cn;
|
|
int method;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
size = GET_PARAM(0);
|
|
templ_size = GET_PARAM(1);
|
|
cn = GET_PARAM(2);
|
|
method = GET_PARAM(3);
|
|
}
|
|
};
|
|
|
|
OCL_TEST_P(MatchTemplate32F, Accuracy)
|
|
{
|
|
cv::Mat image = randomMat(size, CV_MAKETYPE(CV_32F, cn), 0, 255);
|
|
cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_32F, cn), 0, 255);
|
|
|
|
cv::ocl::oclMat dst, ocl_image(image), ocl_templ(templ);
|
|
cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);
|
|
|
|
cv::Mat dst_gold;
|
|
cv::matchTemplate(image, templ, dst_gold, method);
|
|
|
|
cv::Mat mat_dst;
|
|
dst.download(mat_dst);
|
|
|
|
EXPECT_MAT_NEAR(dst_gold, mat_dst, templ_size.area() * 1e-1);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(OCL_ImgProc, MatchTemplate8U,
|
|
testing::Combine(
|
|
MTEMP_SIZES,
|
|
testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16)), TemplateSize(cv::Size(30, 30))),
|
|
testing::Values(Channels(1), Channels(3), Channels(4)),
|
|
ALL_TEMPLATE_METHODS
|
|
)
|
|
);
|
|
|
|
INSTANTIATE_TEST_CASE_P(OCL_ImgProc, MatchTemplate32F, testing::Combine(
|
|
MTEMP_SIZES,
|
|
testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16)), TemplateSize(cv::Size(30, 30))),
|
|
testing::Values(Channels(1), Channels(3), Channels(4)),
|
|
testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))));
|
|
#endif
|