167 lines
6.0 KiB
C++
167 lines
6.0 KiB
C++
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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) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, 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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// @Authors
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// Peng Xiao, pengxiao@multicorewareinc.com
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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 oclMaterials 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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#define PERF_TEST 0
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////////////////////////////////////////////////////////////////////////////////
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// MatchTemplate
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#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))
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IMPLEMENT_PARAM_CLASS(TemplateSize, cv::Size);
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const char* TEMPLATE_METHOD_NAMES[6] = {"TM_SQDIFF", "TM_SQDIFF_NORMED", "TM_CCORR", "TM_CCORR_NORMED", "TM_CCOEFF", "TM_CCOEFF_NORMED"};
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PARAM_TEST_CASE(MatchTemplate8U, cv::Size, TemplateSize, Channels, TemplateMethod)
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{
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cv::Size size;
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cv::Size templ_size;
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int cn;
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int method;
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virtual void SetUp()
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{
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size = GET_PARAM(0);
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templ_size = GET_PARAM(1);
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cn = GET_PARAM(2);
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method = GET_PARAM(3);
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}
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};
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TEST_P(MatchTemplate8U, Accuracy)
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{
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std::cout << "Method: " << TEMPLATE_METHOD_NAMES[method] << std::endl;
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std::cout << "Image Size: (" << size.width << ", " << size.height << ")"<< std::endl;
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std::cout << "Template Size: (" << templ_size.width << ", " << templ_size.height << ")"<< std::endl;
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std::cout << "Channels: " << cn << std::endl;
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cv::Mat image = randomMat(size, CV_MAKETYPE(CV_8U, cn));
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cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_8U, cn));
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cv::ocl::oclMat dst, ocl_image(image), ocl_templ(templ);
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cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);
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cv::Mat dst_gold;
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cv::matchTemplate(image, templ, dst_gold, method);
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char sss [100] = "";
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cv::Mat mat_dst;
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dst.download(mat_dst);
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EXPECT_MAT_NEAR(dst_gold, mat_dst, templ_size.area() * 1e-1, sss);
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#if PERF_TEST
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{
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P_TEST_FULL({}, {cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);}, {});
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P_TEST_FULL({}, {cv::matchTemplate(image, templ, dst_gold, method);}, {});
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}
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#endif // PERF_TEST
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}
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PARAM_TEST_CASE(MatchTemplate32F, cv::Size, TemplateSize, Channels, TemplateMethod)
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{
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cv::Size size;
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cv::Size templ_size;
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int cn;
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int method;
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virtual void SetUp()
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{
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size = GET_PARAM(0);
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templ_size = GET_PARAM(1);
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cn = GET_PARAM(2);
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method = GET_PARAM(3);
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}
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};
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TEST_P(MatchTemplate32F, Accuracy)
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{
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cv::Mat image = randomMat(size, CV_MAKETYPE(CV_32F, cn));
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cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_32F, cn));
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cv::ocl::oclMat dst, ocl_image(image), ocl_templ(templ);
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cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);
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cv::Mat dst_gold;
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cv::matchTemplate(image, templ, dst_gold, method);
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char sss [100] = "";
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cv::Mat mat_dst;
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dst.download(mat_dst);
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EXPECT_MAT_NEAR(dst_gold, mat_dst, templ_size.area() * 1e-1, sss);
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#if PERF_TEST
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{
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std::cout << "Method: " << TEMPLATE_METHOD_NAMES[method] << std::endl;
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std::cout << "Image Size: (" << size.width << ", " << size.height << ")"<< std::endl;
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std::cout << "Template Size: (" << templ_size.width << ", " << templ_size.height << ")"<< std::endl;
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std::cout << "Channels: " << cn << std::endl;
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P_TEST_FULL({}, {cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);}, {});
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P_TEST_FULL({}, {cv::matchTemplate(image, templ, dst_gold, method);}, {});
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}
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#endif // PERF_TEST
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate8U,
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testing::Combine(
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DIFFERENT_SIZES,
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testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16))/*, TemplateSize(cv::Size(30, 30))*/),
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testing::Values(Channels(1), Channels(4)),
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ALL_TEMPLATE_METHODS
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)
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);
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate32F, testing::Combine(
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DIFFERENT_SIZES,
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testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16))/*, TemplateSize(cv::Size(30, 30))*/),
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testing::Values(Channels(1), Channels(4)),
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testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))));
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