Open Source Computer Vision Library https://opencv.org/
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/*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
11 years ago
// 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.
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// 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,
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//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