/*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 oclMaterials 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 "precomp.hpp" #define PERF_TEST 0 //////////////////////////////////////////////////////////////////////////////// // 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); const char* TEMPLATE_METHOD_NAMES[6] = {"TM_SQDIFF", "TM_SQDIFF_NORMED", "TM_CCORR", "TM_CCORR_NORMED", "TM_CCOEFF", "TM_CCOEFF_NORMED"}; #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; //std::vector oclinfo; virtual void SetUp() { size = GET_PARAM(0); templ_size = GET_PARAM(1); cn = GET_PARAM(2); method = GET_PARAM(3); //int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE); //CV_Assert(devnums > 0); } }; TEST_P(MatchTemplate8U, Accuracy) { std::cout << "Method: " << TEMPLATE_METHOD_NAMES[method] << std::endl; std::cout << "Image Size: (" << size.width << ", " << size.height << ")"<< std::endl; std::cout << "Template Size: (" << templ_size.width << ", " << templ_size.height << ")"<< std::endl; std::cout << "Channels: " << cn << std::endl; cv::Mat image = randomMat(size, CV_MAKETYPE(CV_8U, cn)); cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_8U, cn)); 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); char sss [100] = ""; cv::Mat mat_dst; dst.download(mat_dst); EXPECT_MAT_NEAR(dst_gold, mat_dst, templ_size.area() * 1e-1, sss); #if PERF_TEST { P_TEST_FULL({}, {cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);}, {}); P_TEST_FULL({}, {cv::matchTemplate(image, templ, dst_gold, method);}, {}); } #endif // PERF_TEST } PARAM_TEST_CASE(MatchTemplate32F, cv::Size, TemplateSize, Channels, TemplateMethod) { cv::Size size; cv::Size templ_size; int cn; int method; //std::vector oclinfo; virtual void SetUp() { size = GET_PARAM(0); templ_size = GET_PARAM(1); cn = GET_PARAM(2); method = GET_PARAM(3); //int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE); //CV_Assert(devnums > 0); } }; TEST_P(MatchTemplate32F, Accuracy) { cv::Mat image = randomMat(size, CV_MAKETYPE(CV_32F, cn)); cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_32F, cn)); 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); char sss [100] = ""; cv::Mat mat_dst; dst.download(mat_dst); EXPECT_MAT_NEAR(dst_gold, mat_dst, templ_size.area() * 1e-1, sss); #if PERF_TEST { std::cout << "Method: " << TEMPLATE_METHOD_NAMES[method] << std::endl; std::cout << "Image Size: (" << size.width << ", " << size.height << ")"<< std::endl; std::cout << "Template Size: (" << templ_size.width << ", " << templ_size.height << ")"<< std::endl; std::cout << "Channels: " << cn << std::endl; P_TEST_FULL({}, {cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);}, {}); P_TEST_FULL({}, {cv::matchTemplate(image, templ, dst_gold, method);}, {}); } #endif // PERF_TEST } INSTANTIATE_TEST_CASE_P(GPU_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(GPU_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))));