2014-02-18 18:24:30 +08:00
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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, 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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//
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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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//
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//M*/
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2014-08-01 22:11:20 +08:00
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#include "../test_precomp.hpp"
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2014-02-18 18:24:30 +08:00
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#include "opencv2/ts/ocl_test.hpp"
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#ifdef HAVE_OPENCL
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2017-11-05 21:48:40 +08:00
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namespace opencv_test {
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2014-02-18 18:24:30 +08:00
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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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2015-02-05 22:40:15 +08:00
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cv::Ptr<cv::DualTVL1OpticalFlow> alg = cv::createOptFlow_DualTVL1();
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2014-02-18 18:24:30 +08:00
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//set parameters
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2015-02-05 22:40:15 +08:00
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alg->setScaleStep(scaleStep);
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alg->setMedianFiltering(medianFiltering);
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2014-02-18 18:24:30 +08:00
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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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2015-02-05 22:40:15 +08:00
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alg->setUseInitialFlow(useInitFlow);
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2014-02-18 18:24:30 +08:00
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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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2017-11-05 21:48:40 +08:00
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} } // namespace opencv_test::ocl
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2014-02-18 18:24:30 +08:00
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2015-02-05 22:40:15 +08:00
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#endif // HAVE_OPENCL
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