2013-09-11 04:19:02 +02:00
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/*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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2013-10-25 16:00:46 +02:00
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// and/or other materials provided with the distribution.
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2013-09-11 04:19:02 +02:00
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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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2013-10-09 16:05:09 +02:00
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2013-09-11 04:19:02 +02:00
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#include "perf_precomp.hpp"
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2013-10-09 16:05:09 +02:00
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#ifdef HAVE_CLAMDBLAS
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2013-09-11 04:19:02 +02:00
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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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2013-10-09 16:05:09 +02:00
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2013-09-11 04:19:02 +02:00
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///////////// Kalman Filter ////////////////////////
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2013-10-12 00:36:53 +02:00
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typedef tuple<int> KalmanFilterType;
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typedef TestBaseWithParam<KalmanFilterType> KalmanFilterFixture;
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2013-09-11 04:19:02 +02:00
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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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cv::Mat sample(dim, 1, CV_32FC1), dresult;
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randu(sample, -1, 1);
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cv::Mat statePre_;
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2013-10-09 16:05:09 +02:00
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if (RUN_PLAIN_IMPL)
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{
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2013-09-12 03:43:30 +02:00
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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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2013-09-12 03:43:30 +02:00
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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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2013-09-11 05:28:36 +02:00
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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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2013-09-12 03:43:30 +02:00
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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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2013-09-12 03:43:30 +02:00
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SANITY_CHECK(statePre_);
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2013-10-09 16:05:09 +02:00
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}
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#endif // HAVE_CLAMDBLAS
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