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https://github.com/opencv/opencv.git
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e6e817e613
This reverts commit54ea5bbac7
, reversing changes made to28e0d3d771
.
180 lines
6.1 KiB
C++
180 lines
6.1 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 materials 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 "perf_precomp.hpp"
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using namespace perf;
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using std::tr1::tuple;
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using std::tr1::get;
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/////////// matchTemplate ////////////////////////
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typedef Size_MatType CV_TM_CCORRFixture;
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OCL_PERF_TEST_P(CV_TM_CCORRFixture, matchTemplate,
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::testing::Combine(::testing::Values(Size(1000, 1000), Size(2000, 2000)),
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OCL_PERF_ENUM(CV_32FC1, CV_32FC4)))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params), templSize(5, 5);
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const int type = get<1>(params);
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Mat src(srcSize, type), templ(templSize, type);
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const Size dstSize(src.cols - templ.cols + 1, src.rows - templ.rows + 1);
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Mat dst(dstSize, CV_32F);
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randu(src, 0.0f, 1.0f);
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randu(templ, 0.0f, 1.0f);
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declare.in(src, templ).out(dst);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src), oclTempl(templ), oclDst(dstSize, CV_32F);
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OCL_TEST_CYCLE() cv::ocl::matchTemplate(oclSrc, oclTempl, oclDst, CV_TM_CCORR);
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oclDst.download(dst);
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SANITY_CHECK(dst, 1e-4);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() cv::matchTemplate(src, templ, dst, CV_TM_CCORR);
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SANITY_CHECK(dst, 1e-4);
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}
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else
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OCL_PERF_ELSE
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}
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typedef TestBaseWithParam<Size> CV_TM_CCORR_NORMEDFixture;
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OCL_PERF_TEST_P(CV_TM_CCORR_NORMEDFixture, matchTemplate,
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::testing::Values(Size(1000, 1000), Size(2000, 2000), Size(4000, 4000)))
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{
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const Size srcSize = GetParam(), templSize(5, 5);
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Mat src(srcSize, CV_8UC1), templ(templSize, CV_8UC1), dst;
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const Size dstSize(src.cols - templ.cols + 1, src.rows - templ.rows + 1);
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dst.create(dstSize, CV_8UC1);
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declare.in(src, templ, WARMUP_RNG).out(dst);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src), oclTempl(templ), oclDst(dstSize, CV_8UC1);
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OCL_TEST_CYCLE() cv::ocl::matchTemplate(oclSrc, oclTempl, oclDst, CV_TM_CCORR_NORMED);
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oclDst.download(dst);
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SANITY_CHECK(dst, 2e-2);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() cv::matchTemplate(src, templ, dst, CV_TM_CCORR_NORMED);
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SANITY_CHECK(dst, 2e-2);
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}
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else
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OCL_PERF_ELSE
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}
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CV_ENUM(MethodType, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED)
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typedef std::tr1::tuple<Size, Size, MethodType> ImgSize_TmplSize_Method_t;
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typedef TestBaseWithParam<ImgSize_TmplSize_Method_t> ImgSize_TmplSize_Method;
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OCL_PERF_TEST_P(ImgSize_TmplSize_Method, MatchTemplate,
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::testing::Combine(
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testing::Values(szSmall128, cv::Size(320, 240),
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cv::Size(640, 480), cv::Size(800, 600),
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cv::Size(1024, 768), cv::Size(1280, 1024)),
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testing::Values(cv::Size(12, 12), cv::Size(28, 9),
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cv::Size(8, 30), cv::Size(16, 16)),
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MethodType::all()
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)
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)
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{
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Size imgSz = get<0>(GetParam());
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Size tmplSz = get<1>(GetParam());
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int method = get<2>(GetParam());
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Mat img(imgSz, CV_8UC1);
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Mat tmpl(tmplSz, CV_8UC1);
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Mat result(imgSz - tmplSz + Size(1, 1), CV_32F);
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bool isNormed =
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method == TM_CCORR_NORMED ||
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method == TM_SQDIFF_NORMED ||
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method == TM_CCOEFF_NORMED;
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declare.in(img, tmpl, WARMUP_RNG).out(result).time(30);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclImg(img), oclTmpl(tmpl), oclResult(result.size(), CV_32F);
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OCL_TEST_CYCLE() matchTemplate(oclImg, oclTmpl, oclResult, method);
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oclResult.download(result);
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}
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else if (RUN_PLAIN_IMPL)
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{
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OCL_TEST_CYCLE() matchTemplate(img, tmpl, result, method);
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}
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else
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OCL_PERF_ELSE
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double eps = isNormed ? 3e-2
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: 255 * 255 * tmpl.total() * 1e-4;
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if (method == TM_SQDIFF_NORMED)
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SANITY_CHECK_NOTHING();
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else if (isNormed)
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SANITY_CHECK(result, eps, ERROR_RELATIVE);
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else
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SANITY_CHECK(result, eps);
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}
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