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bae85660da
Pull requests: #943 from jet47:cuda-5.5-support #944 from jet47:cmake-2.8.11-cuda-fix #912 from SpecLad:contributing #934 from SpecLad:parallel-for #931 from jet47:gpu-test-fixes #932 from bitwangyaoyao:2.4_fixBFM #918 from bitwangyaoyao:2.4_samples #924 from pengx17:2.4_arithm_fix #925 from pengx17:2.4_canny_tmp_fix #927 from bitwangyaoyao:2.4_perf #930 from pengx17:2.4_haar_ext #928 from apavlenko:bugfix_3027 #920 from asmorkalov:android_move #910 from pengx17:2.4_oclgfft #913 from janm399:2.4 #916 from bitwangyaoyao:2.4_fixPyrLK #919 from abidrahmank:2.4 #923 from pengx17:2.4_macfix Conflicts: modules/calib3d/src/stereobm.cpp modules/features2d/src/detectors.cpp modules/gpu/src/error.cpp modules/gpu/src/precomp.hpp modules/imgproc/src/distransform.cpp modules/imgproc/src/morph.cpp modules/ocl/include/opencv2/ocl/ocl.hpp modules/ocl/perf/perf_color.cpp modules/ocl/perf/perf_imgproc.cpp modules/ocl/perf/perf_match_template.cpp modules/ocl/perf/precomp.cpp modules/ocl/perf/precomp.hpp modules/ocl/src/arithm.cpp modules/ocl/src/canny.cpp modules/ocl/src/filtering.cpp modules/ocl/src/haar.cpp modules/ocl/src/hog.cpp modules/ocl/src/imgproc.cpp modules/ocl/src/opencl/haarobjectdetect.cl modules/ocl/src/pyrlk.cpp modules/video/src/bgfg_gaussmix2.cpp modules/video/src/lkpyramid.cpp platforms/linux/scripts/cmake_arm_gnueabi_hardfp.sh platforms/linux/scripts/cmake_arm_gnueabi_softfp.sh platforms/scripts/ABI_compat_generator.py samples/ocl/facedetect.cpp
146 lines
5.5 KiB
C++
146 lines
5.5 KiB
C++
/*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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// Fangfang Bai, fangfang@multicorewareinc.com
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// Jin Ma, jin@multicorewareinc.com
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//
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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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/////////// matchTemplate ////////////////////////
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//void InitMatchTemplate()
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//{
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// Mat src; gen(src, 500, 500, CV_32F, 0, 1);
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// Mat templ; gen(templ, 500, 500, CV_32F, 0, 1);
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// ocl::oclMat d_src(src), d_templ(templ), d_dst;
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// ocl::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR);
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//}
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PERFTEST(matchTemplate)
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{
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//InitMatchTemplate();
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Mat src, templ, dst, ocl_dst;
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int templ_size = 5;
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for (int size = Min_Size; size <= Max_Size; size *= Multiple)
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{
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int all_type[] = {CV_32FC1, CV_32FC4};
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std::string type_name[] = {"CV_32FC1", "CV_32FC4"};
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for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
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{
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for(templ_size = 5; templ_size <= 5; templ_size *= 5)
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{
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gen(src, size, size, all_type[j], 0, 1);
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SUBTEST << src.cols << 'x' << src.rows << "; " << type_name[j] << "; templ " << templ_size << 'x' << templ_size << "; CCORR";
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gen(templ, templ_size, templ_size, all_type[j], 0, 1);
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matchTemplate(src, templ, dst, TM_CCORR);
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CPU_ON;
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matchTemplate(src, templ, dst, TM_CCORR);
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CPU_OFF;
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ocl::oclMat d_src(src), d_templ(templ), d_dst;
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WARMUP_ON;
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ocl::matchTemplate(d_src, d_templ, d_dst, TM_CCORR);
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WARMUP_OFF;
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GPU_ON;
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ocl::matchTemplate(d_src, d_templ, d_dst, TM_CCORR);
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GPU_OFF;
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GPU_FULL_ON;
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d_src.upload(src);
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d_templ.upload(templ);
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ocl::matchTemplate(d_src, d_templ, d_dst, TM_CCORR);
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d_dst.download(ocl_dst);
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GPU_FULL_OFF;
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TestSystem::instance().ExpectedMatNear(dst, ocl_dst, templ.rows * templ.cols * 1e-1);
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}
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}
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int all_type_8U[] = {CV_8UC1};
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std::string type_name_8U[] = {"CV_8UC1"};
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for (size_t j = 0; j < sizeof(all_type_8U) / sizeof(int); j++)
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{
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for(templ_size = 5; templ_size <= 5; templ_size *= 5)
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{
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SUBTEST << src.cols << 'x' << src.rows << "; " << type_name_8U[j] << "; templ " << templ_size << 'x' << templ_size << "; CCORR_NORMED";
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gen(src, size, size, all_type_8U[j], 0, 255);
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gen(templ, templ_size, templ_size, all_type_8U[j], 0, 255);
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matchTemplate(src, templ, dst, TM_CCORR_NORMED);
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CPU_ON;
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matchTemplate(src, templ, dst, TM_CCORR_NORMED);
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CPU_OFF;
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ocl::oclMat d_src(src);
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ocl::oclMat d_templ(templ), d_dst;
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WARMUP_ON;
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ocl::matchTemplate(d_src, d_templ, d_dst, TM_CCORR_NORMED);
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WARMUP_OFF;
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GPU_ON;
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ocl::matchTemplate(d_src, d_templ, d_dst, TM_CCORR_NORMED);
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GPU_OFF;
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GPU_FULL_ON;
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d_src.upload(src);
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d_templ.upload(templ);
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ocl::matchTemplate(d_src, d_templ, d_dst, TM_CCORR_NORMED);
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d_dst.download(ocl_dst);
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GPU_FULL_OFF;
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TestSystem::instance().ExpectedMatNear(dst, ocl_dst, templ.rows * templ.cols * 1e-1);
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}
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}
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}
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}
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