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141 lines
4.9 KiB
141 lines
4.9 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) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009-2011, Willow Garage 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 "precomp.hpp" |
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#include "opencv2/video.hpp" |
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#include "opencv2/videostab/optical_flow.hpp" |
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#include "opencv2/videostab/ring_buffer.hpp" |
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namespace cv |
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{ |
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namespace videostab |
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{ |
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void SparsePyrLkOptFlowEstimator::run( |
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InputArray frame0, InputArray frame1, InputArray points0, InputOutputArray points1, |
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OutputArray status, OutputArray errors) |
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{ |
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calcOpticalFlowPyrLK(frame0, frame1, points0, points1, status, errors, winSize_, maxLevel_); |
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} |
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#ifdef HAVE_OPENCV_CUDAOPTFLOW |
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SparsePyrLkOptFlowEstimatorGpu::SparsePyrLkOptFlowEstimatorGpu() |
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{ |
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CV_Assert(cuda::getCudaEnabledDeviceCount() > 0); |
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} |
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void SparsePyrLkOptFlowEstimatorGpu::run( |
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InputArray frame0, InputArray frame1, InputArray points0, InputOutputArray points1, |
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OutputArray status, OutputArray errors) |
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{ |
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frame0_.upload(frame0.getMat()); |
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frame1_.upload(frame1.getMat()); |
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points0_.upload(points0.getMat()); |
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if (errors.needed()) |
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{ |
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run(frame0_, frame1_, points0_, points1_, status_, errors_); |
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errors_.download(errors.getMatRef()); |
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} |
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else |
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run(frame0_, frame1_, points0_, points1_, status_); |
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points1_.download(points1.getMatRef()); |
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status_.download(status.getMatRef()); |
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} |
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void SparsePyrLkOptFlowEstimatorGpu::run( |
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const cuda::GpuMat &frame0, const cuda::GpuMat &frame1, const cuda::GpuMat &points0, |
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cuda::GpuMat &points1, cuda::GpuMat &status, cuda::GpuMat &errors) |
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{ |
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optFlowEstimator_.winSize = winSize_; |
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optFlowEstimator_.maxLevel = maxLevel_; |
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optFlowEstimator_.sparse(frame0, frame1, points0, points1, status, &errors); |
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} |
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void SparsePyrLkOptFlowEstimatorGpu::run( |
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const cuda::GpuMat &frame0, const cuda::GpuMat &frame1, const cuda::GpuMat &points0, |
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cuda::GpuMat &points1, cuda::GpuMat &status) |
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{ |
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optFlowEstimator_.winSize = winSize_; |
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optFlowEstimator_.maxLevel = maxLevel_; |
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optFlowEstimator_.sparse(frame0, frame1, points0, points1, status); |
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} |
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DensePyrLkOptFlowEstimatorGpu::DensePyrLkOptFlowEstimatorGpu() |
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{ |
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CV_Assert(cuda::getCudaEnabledDeviceCount() > 0); |
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} |
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void DensePyrLkOptFlowEstimatorGpu::run( |
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InputArray frame0, InputArray frame1, InputOutputArray flowX, InputOutputArray flowY, |
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OutputArray errors) |
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{ |
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frame0_.upload(frame0.getMat()); |
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frame1_.upload(frame1.getMat()); |
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optFlowEstimator_.winSize = winSize_; |
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optFlowEstimator_.maxLevel = maxLevel_; |
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if (errors.needed()) |
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{ |
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optFlowEstimator_.dense(frame0_, frame1_, flowX_, flowY_, &errors_); |
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errors_.download(errors.getMatRef()); |
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} |
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else |
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optFlowEstimator_.dense(frame0_, frame1_, flowX_, flowY_); |
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flowX_.download(flowX.getMatRef()); |
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flowY_.download(flowY.getMatRef()); |
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} |
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#endif // HAVE_OPENCV_CUDAOPTFLOW |
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} // namespace videostab |
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} // namespace cv
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