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Open Source Computer Vision Library
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103 lines
3.5 KiB
103 lines
3.5 KiB
/*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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#ifdef HAVE_CLAMDBLAS |
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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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///////////// Kalman Filter //////////////////////// |
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typedef tuple<int> KalmanFilterType; |
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typedef TestBaseWithParam<KalmanFilterType> KalmanFilterFixture; |
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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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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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SANITY_CHECK(statePre_); |
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} |
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#endif // HAVE_CLAMDBLAS
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