122 lines
		
	
	
		
			4.4 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			122 lines
		
	
	
		
			4.4 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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| 
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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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| 
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| /////////// matchTemplate ////////////////////////
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| 
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| typedef Size_MatType CV_TM_CCORRFixture;
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| 
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| PERF_TEST_P(CV_TM_CCORRFixture, matchTemplate,
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|             ::testing::Combine(::testing::Values(OCL_SIZE_1000, OCL_SIZE_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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| 
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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.time(srcSize == OCL_SIZE_2000 ? 20 : 6).in(src, templ).out(dst);
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| 
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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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| 
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|         OCL_TEST_CYCLE() cv::ocl::matchTemplate(oclSrc, oclTempl, oclDst, CV_TM_CCORR);
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| 
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|         oclDst.download(dst);
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| 
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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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| 
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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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| 
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| typedef TestBaseWithParam<Size> CV_TM_CCORR_NORMEDFixture;
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| 
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| PERF_TEST_P(CV_TM_CCORR_NORMEDFixture, matchTemplate, OCL_TYPICAL_MAT_SIZES)
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| {
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|     const Size srcSize = GetParam(), templSize(5, 5);
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| 
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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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|             .time(srcSize == OCL_SIZE_2000 ? 10 : srcSize == OCL_SIZE_4000 ? 23 : 2);
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| 
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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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| 
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|         OCL_TEST_CYCLE() cv::ocl::matchTemplate(oclSrc, oclTempl, oclDst, CV_TM_CCORR_NORMED);
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| 
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|         oclDst.download(dst);
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| 
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|         SANITY_CHECK(dst, 3e-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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| 
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|         SANITY_CHECK(dst, 3e-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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