/*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" namespace opencv_test { namespace { //////////////////////////////////////////////////////////////////////////////// // 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 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 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); } } }} // namespace