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Open Source Computer Vision Library
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111 lines
4.4 KiB
111 lines
4.4 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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#include "opencv2/ts/ocl_perf.hpp" |
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#ifdef HAVE_OPENCL |
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namespace opencv_test { |
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namespace ocl { |
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///////////// OpticalFlow Dual TVL1 //////////////////////// |
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typedef tuple< tuple<int, double>, bool> OpticalFlowDualTVL1Params; |
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typedef TestBaseWithParam<OpticalFlowDualTVL1Params> OpticalFlowDualTVL1Fixture; |
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OCL_PERF_TEST_P(OpticalFlowDualTVL1Fixture, OpticalFlowDualTVL1, |
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::testing::Combine( |
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::testing::Values(make_tuple<int, double>(-1, 0.3), |
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make_tuple<int, double>(3, 0.5)), |
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::testing::Bool() |
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) |
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) |
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{ |
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Mat frame0 = imread(getDataPath("cv/optflow/RubberWhale1.png"), cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(frame0.empty()) << "can't load RubberWhale1.png"; |
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Mat frame1 = imread(getDataPath("cv/optflow/RubberWhale2.png"), cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(frame1.empty()) << "can't load RubberWhale2.png"; |
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const Size srcSize = frame0.size(); |
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const OpticalFlowDualTVL1Params params = GetParam(); |
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const tuple<int, double> filteringScale = get<0>(params); |
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const int medianFiltering = get<0>(filteringScale); |
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const double scaleStep = get<1>(filteringScale); |
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const bool useInitFlow = get<1>(params); |
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double eps = 0.9; |
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UMat uFrame0; frame0.copyTo(uFrame0); |
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UMat uFrame1; frame1.copyTo(uFrame1); |
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UMat uFlow(srcSize, CV_32FC2); |
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declare.in(uFrame0, uFrame1, WARMUP_READ).out(uFlow, WARMUP_READ); |
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//create algorithm |
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cv::Ptr<cv::DualTVL1OpticalFlow> alg = cv::createOptFlow_DualTVL1(); |
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//set parameters |
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alg->setScaleStep(scaleStep); |
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alg->setMedianFiltering(medianFiltering); |
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if (useInitFlow) |
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{ |
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//calculate initial flow as result of optical flow |
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alg->calc(uFrame0, uFrame1, uFlow); |
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} |
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//set flag to use initial flow |
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alg->setUseInitialFlow(useInitFlow); |
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OCL_TEST_CYCLE() |
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alg->calc(uFrame0, uFrame1, uFlow); |
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SANITY_CHECK(uFlow, eps, ERROR_RELATIVE); |
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} |
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} |
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} // namespace opencv_test::ocl |
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#endif // HAVE_OPENCL
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