104 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			104 lines
		
	
	
		
			3.5 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 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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| 
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| #include "perf_precomp.hpp"
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| 
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| #ifdef HAVE_CLAMDBLAS
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| 
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| using namespace perf;
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| using namespace std;
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| using namespace cv::ocl;
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| using namespace cv;
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| using std::tr1::tuple;
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| using std::tr1::get;
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| 
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| ///////////// Kalman Filter ////////////////////////
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| 
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| typedef tuple<int> KalmanFilterType;
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| typedef TestBaseWithParam<KalmanFilterType> KalmanFilterFixture;
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| 
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| PERF_TEST_P(KalmanFilterFixture, KalmanFilter,
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|     ::testing::Values(1000, 1500))
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| {
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|     KalmanFilterType params = GetParam();
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|     const int dim = get<0>(params);
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| 
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|     cv::Mat sample(dim, 1, CV_32FC1), dresult;
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|     randu(sample, -1, 1);
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| 
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|     cv::Mat statePre_;
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| 
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|     if (RUN_PLAIN_IMPL)
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|     {
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|         cv::KalmanFilter kalman;
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|         TEST_CYCLE()
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|         {
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|             kalman.init(dim, dim);
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|             kalman.correct(sample);
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|             kalman.predict();
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|         }
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|         statePre_ = kalman.statePre;
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|     }
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|     else if(RUN_OCL_IMPL)
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|     {
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|         cv::ocl::oclMat dsample(sample);
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|         cv::ocl::KalmanFilter kalman_ocl;
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|         OCL_TEST_CYCLE()
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|         {
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|             kalman_ocl.init(dim, dim);
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|             kalman_ocl.correct(dsample);
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|             kalman_ocl.predict();
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|         }
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|         kalman_ocl.statePre.download(statePre_);
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|     }
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|     else
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|         OCL_PERF_ELSE
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| 
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|     SANITY_CHECK(statePre_);
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| }
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| 
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| #endif // HAVE_CLAMDBLAS
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