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https://github.com/opencv/opencv.git
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4a297a2443
- removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers
121 lines
4.5 KiB
C++
121 lines
4.5 KiB
C++
/*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 opencv_test {
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namespace ocl {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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// FarnebackOpticalFlow
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namespace
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{
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IMPLEMENT_PARAM_CLASS(PyrScale, double)
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IMPLEMENT_PARAM_CLASS(PolyN, int)
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CV_FLAGS(FarnebackOptFlowFlags, 0, OPTFLOW_FARNEBACK_GAUSSIAN)
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IMPLEMENT_PARAM_CLASS(UseInitFlow, bool)
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}
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PARAM_TEST_CASE(FarnebackOpticalFlow, PyrScale, PolyN, FarnebackOptFlowFlags, UseInitFlow)
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{
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int numLevels;
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int winSize;
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int numIters;
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double pyrScale;
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int polyN;
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int flags;
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bool useInitFlow;
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virtual void SetUp()
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{
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numLevels = 5;
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winSize = 13;
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numIters = 10;
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pyrScale = GET_PARAM(0);
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polyN = GET_PARAM(1);
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flags = GET_PARAM(2);
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useInitFlow = GET_PARAM(3);
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}
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};
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OCL_TEST_P(FarnebackOpticalFlow, 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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double polySigma = polyN <= 5 ? 1.1 : 1.5;
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cv::Mat flow; cv::UMat uflow;
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if (useInitFlow)
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{
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OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
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uflow.copyTo(flow);
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flags |= cv::OPTFLOW_USE_INITIAL_FLOW;
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}
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OCL_OFF(cv::calcOpticalFlowFarneback(frame0, frame1, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
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OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
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EXPECT_MAT_SIMILAR(flow, uflow, 0.1);
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}
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OCL_INSTANTIATE_TEST_CASE_P(Video, FarnebackOpticalFlow,
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Combine(
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Values(PyrScale(0.3), PyrScale(0.5), PyrScale(0.8)),
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Values(PolyN(5), PolyN(7)),
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Values(FarnebackOptFlowFlags(0), FarnebackOptFlowFlags(cv::OPTFLOW_FARNEBACK_GAUSSIAN)),
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Values(UseInitFlow(false), UseInitFlow(true))
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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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