vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, 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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// 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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// 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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#ifndef OPENCV_CUDABGSEGM_HPP
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#define OPENCV_CUDABGSEGM_HPP
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#ifndef __cplusplus
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# error cudabgsegm.hpp header must be compiled as C++
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#endif
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#include "opencv2/core/cuda.hpp"
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#include "opencv2/video/background_segm.hpp"
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/**
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@addtogroup cuda
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@{
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@defgroup cudabgsegm Background Segmentation
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@}
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*/
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namespace cv { namespace cuda {
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//! @addtogroup cudabgsegm
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//! @{
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////////////////////////////////////////////////////
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// MOG
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/** @brief Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
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The class discriminates between foreground and background pixels by building and maintaining a model
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of the background. Any pixel which does not fit this model is then deemed to be foreground. The
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class implements algorithm described in @cite MOG2001 .
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@sa BackgroundSubtractorMOG
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@note
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- An example on gaussian mixture based background/foreground segmantation can be found at
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opencv_source_code/samples/gpu/bgfg_segm.cpp
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*/
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class CV_EXPORTS_W BackgroundSubtractorMOG : public cv::BackgroundSubtractor
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{
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public:
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using cv::BackgroundSubtractor::apply;
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CV_WRAP virtual void apply(InputArray image, OutputArray fgmask, double learningRate, Stream& stream) = 0;
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CV_WRAP virtual void apply(InputArray image, InputArray knownForegroundMask, OutputArray fgmask, double learningRate, Stream& stream) = 0;
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using cv::BackgroundSubtractor::getBackgroundImage;
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virtual void getBackgroundImage(OutputArray backgroundImage, Stream& stream) const = 0;
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CV_WRAP inline void getBackgroundImage(CV_OUT GpuMat& backgroundImage, Stream& stream) {
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getBackgroundImage(OutputArray(backgroundImage), stream);
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}
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CV_WRAP virtual int getHistory() const = 0;
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CV_WRAP virtual void setHistory(int nframes) = 0;
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CV_WRAP virtual int getNMixtures() const = 0;
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CV_WRAP virtual void setNMixtures(int nmix) = 0;
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CV_WRAP virtual double getBackgroundRatio() const = 0;
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CV_WRAP virtual void setBackgroundRatio(double backgroundRatio) = 0;
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CV_WRAP virtual double getNoiseSigma() const = 0;
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CV_WRAP virtual void setNoiseSigma(double noiseSigma) = 0;
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};
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/** @brief Creates mixture-of-gaussian background subtractor
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@param history Length of the history.
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@param nmixtures Number of Gaussian mixtures.
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@param backgroundRatio Background ratio.
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@param noiseSigma Noise strength (standard deviation of the brightness or each color channel). 0
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means some automatic value.
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*/
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CV_EXPORTS_W Ptr<cuda::BackgroundSubtractorMOG>
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createBackgroundSubtractorMOG(int history = 200, int nmixtures = 5,
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double backgroundRatio = 0.7, double noiseSigma = 0);
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////////////////////////////////////////////////////
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// MOG2
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/** @brief Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
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The class discriminates between foreground and background pixels by building and maintaining a model
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of the background. Any pixel which does not fit this model is then deemed to be foreground. The
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class implements algorithm described in @cite Zivkovic2004 .
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@sa BackgroundSubtractorMOG2
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*/
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class CV_EXPORTS_W BackgroundSubtractorMOG2 : public cv::BackgroundSubtractorMOG2
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{
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public:
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using cv::BackgroundSubtractorMOG2::apply;
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using cv::BackgroundSubtractorMOG2::getBackgroundImage;
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CV_WRAP virtual void apply(InputArray image, OutputArray fgmask, double learningRate, Stream& stream) = 0;
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CV_WRAP virtual void apply(InputArray image, InputArray knownForegroundMask, OutputArray fgmask, double learningRate, Stream& stream) = 0;
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virtual void getBackgroundImage(OutputArray backgroundImage, Stream& stream) const = 0;
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CV_WRAP inline void getBackgroundImage(CV_OUT GpuMat &backgroundImage, Stream& stream) {
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getBackgroundImage(OutputArray(backgroundImage), stream);
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}
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};
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/** @brief Creates MOG2 Background Subtractor
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@param history Length of the history.
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@param varThreshold Threshold on the squared Mahalanobis distance between the pixel and the model
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to decide whether a pixel is well described by the background model. This parameter does not
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affect the background update.
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@param detectShadows If true, the algorithm will detect shadows and mark them. It decreases the
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speed a bit, so if you do not need this feature, set the parameter to false.
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*/
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CV_EXPORTS_W Ptr<cuda::BackgroundSubtractorMOG2>
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createBackgroundSubtractorMOG2(int history = 500, double varThreshold = 16,
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bool detectShadows = true);
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//! @}
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}} // namespace cv { namespace cuda {
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#endif /* OPENCV_CUDABGSEGM_HPP */
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