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Open Source Computer Vision Library
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117 lines
4.1 KiB
117 lines
4.1 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, Institute Of Software Chinese Academy Of Science, all rights reserved. |
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. |
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// Copyright (C) 2010-2012, Multicoreware, 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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// 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 "../test_precomp.hpp" |
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#include "opencv2/ts/ocl_test.hpp" |
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#ifdef HAVE_OPENCL |
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namespace cvtest { |
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namespace ocl { |
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///////////////////////////////////////////////////////////////////////////////////////////////// |
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// Optical_flow_tvl1 |
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namespace |
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{ |
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IMPLEMENT_PARAM_CLASS(UseInitFlow, bool) |
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IMPLEMENT_PARAM_CLASS(MedianFiltering, int) |
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IMPLEMENT_PARAM_CLASS(ScaleStep, double) |
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} |
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PARAM_TEST_CASE(OpticalFlowTVL1, UseInitFlow, MedianFiltering, ScaleStep) |
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{ |
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bool useInitFlow; |
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int medianFiltering; |
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double scaleStep; |
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virtual void SetUp() |
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{ |
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useInitFlow = GET_PARAM(0); |
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medianFiltering = GET_PARAM(1); |
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scaleStep = GET_PARAM(2); |
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} |
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}; |
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OCL_TEST_P(OpticalFlowTVL1, Mat) |
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{ |
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cv::Mat frame0 = readImage("optflow/RubberWhale1.png", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(frame0.empty()); |
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cv::Mat frame1 = readImage("optflow/RubberWhale2.png", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(frame1.empty()); |
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cv::Mat flow; cv::UMat uflow; |
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//create algorithm |
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cv::Ptr<cv::DenseOpticalFlow> alg = cv::createOptFlow_DualTVL1(); |
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//set parameters |
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alg->set("scaleStep", scaleStep); |
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alg->setInt("medianFiltering", medianFiltering); |
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//create initial flow as result of algorithm calculation |
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if (useInitFlow) |
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{ |
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OCL_ON(alg->calc(frame0, frame1, uflow)); |
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uflow.copyTo(flow); |
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} |
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//set flag to use initial flow as it is ready to use |
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alg->setBool("useInitialFlow", useInitFlow); |
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OCL_OFF(alg->calc(frame0, frame1, flow)); |
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OCL_ON(alg->calc(frame0, frame1, uflow)); |
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EXPECT_MAT_SIMILAR(flow, uflow, 1e-2); |
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} |
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OCL_INSTANTIATE_TEST_CASE_P(Video, OpticalFlowTVL1, |
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Combine( |
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Values(UseInitFlow(false), UseInitFlow(true)), |
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Values(MedianFiltering(3), MedianFiltering(-1)), |
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Values(ScaleStep(0.3),ScaleStep(0.5)) |
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) |
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); |
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} } // namespace cvtest::ocl |
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#endif // HAVE_OPENCL
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