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added docs for GMG_GPU
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@ -649,6 +649,114 @@ Releases all inner buffer's memory.
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gpu::GMG_GPU
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------------
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.. ocv:class:: gpu::GMG_GPU
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Class used for background/foreground segmentation. ::
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class GMG_GPU_GPU
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{
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public:
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GMG_GPU();
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void initialize(Size frameSize, float min = 0.0f, float max = 255.0f);
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void operator ()(const GpuMat& frame, GpuMat& fgmask, float learningRate = -1.0f, Stream& stream = Stream::Null());
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void release();
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int maxFeatures;
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float learningRate;
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int numInitializationFrames;
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int quantizationLevels;
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float backgroundPrior;
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float decisionThreshold;
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int smoothingRadius;
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...
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};
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The class discriminates between foreground and background pixels by building and maintaining a model of the background. Any pixel which does not fit this model is then deemed to be foreground. The class implements algorithm described in [GMG2012]_.
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Here are important members of the class that control the algorithm, which you can set after constructing the class instance:
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.. ocv:member:: int maxFeatures
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Total number of distinct colors to maintain in histogram.
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.. ocv:member:: float learningRate
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Set between 0.0 and 1.0, determines how quickly features are "forgotten" from histograms.
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.. ocv:member:: int numInitializationFrames
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Number of frames of video to use to initialize histograms.
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.. ocv:member:: int quantizationLevels
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Number of discrete levels in each channel to be used in histograms.
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.. ocv:member:: float backgroundPrior
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Prior probability that any given pixel is a background pixel. A sensitivity parameter.
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.. ocv:member:: float decisionThreshold
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Value above which pixel is determined to be FG.
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.. ocv:member:: float smoothingRadius
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Smoothing radius, in pixels, for cleaning up FG image.
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gpu::GMG_GPU::GMG_GPU
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---------------------
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The default constructor.
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.. ocv:function:: gpu::GMG_GPU::GMG_GPU()
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Default constructor sets all parameters to default values.
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gpu::GMG_GPU::initialize
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------------------------
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Initialize background model and allocates all inner buffers.
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.. ocv:function:: void gpu::GMG_GPU::initialize(Size frameSize, float min = 0.0f, float max = 255.0f)
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:param frameSize: Input frame size.
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:param min: Minimum value taken on by pixels in image sequence. Usually 0.
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:param max: Maximum value taken on by pixels in image sequence, e.g. 1.0 or 255.
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gpu::GMG_GPU::operator()
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------------------------
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Updates the background model and returns the foreground mask
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.. ocv:function:: void gpu::GMG_GPU::operator()(const GpuMat& frame, GpuMat& fgmask, Stream& stream = Stream::Null())
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:param frame: Next video frame.
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:param fgmask: The output foreground mask as an 8-bit binary image.
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:param stream: Stream for the asynchronous version.
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gpu::GMG_GPU::release
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---------------------
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Releases all inner buffer's memory.
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.. ocv:function:: void gpu::GMG_GPU::release()
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gpu::VideoWriter_GPU
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gpu::VideoWriter_GPU
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---------------------
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---------------------
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Video writer class.
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Video writer class.
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@ -1093,3 +1201,4 @@ Parse next video frame. Implementation must call this method after new frame was
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.. [MOG2004] Z. Zivkovic. *Improved adaptive Gausian mixture model for background subtraction*. International Conference Pattern Recognition, UK, August, 2004
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.. [MOG2004] Z. Zivkovic. *Improved adaptive Gausian mixture model for background subtraction*. International Conference Pattern Recognition, UK, August, 2004
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.. [ShadowDetect2003] Prati, Mikic, Trivedi and Cucchiarra. *Detecting Moving Shadows...*. IEEE PAMI, 2003
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.. [ShadowDetect2003] Prati, Mikic, Trivedi and Cucchiarra. *Detecting Moving Shadows...*. IEEE PAMI, 2003
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.. [VIBE2011] O. Barnich and M. Van D Roogenbroeck. *ViBe: A universal background subtraction algorithm for video sequences*. IEEE Transactions on Image Processing, 20(6) :1709-1724, June 2011
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.. [VIBE2011] O. Barnich and M. Van D Roogenbroeck. *ViBe: A universal background subtraction algorithm for video sequences*. IEEE Transactions on Image Processing, 20(6) :1709-1724, June 2011
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.. [GMG2012] A. Godbehere, A. Matsukawa and K. Goldberg. *Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive Audio Art Installation*. American Control Conference, Montreal, June 2012
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@ -2160,25 +2160,25 @@ public:
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void release();
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void release();
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//! Total number of distinct colors to maintain in histogram.
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//! Total number of distinct colors to maintain in histogram.
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int maxFeatures;
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int maxFeatures;
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//! Set between 0.0 and 1.0, determines how quickly features are "forgotten" from histograms.
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//! Set between 0.0 and 1.0, determines how quickly features are "forgotten" from histograms.
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float learningRate;
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float learningRate;
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//! Number of frames of video to use to initialize histograms.
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//! Number of frames of video to use to initialize histograms.
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int numInitializationFrames;
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int numInitializationFrames;
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//! Number of discrete levels in each channel to be used in histograms.
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//! Number of discrete levels in each channel to be used in histograms.
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int quantizationLevels;
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int quantizationLevels;
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//! Prior probability that any given pixel is a background pixel. A sensitivity parameter.
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//! Prior probability that any given pixel is a background pixel. A sensitivity parameter.
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float backgroundPrior;
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float backgroundPrior;
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//! value above which pixel is determined to be FG.
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//! value above which pixel is determined to be FG.
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float decisionThreshold;
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float decisionThreshold;
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//! smoothing radius, in pixels, for cleaning up FG image.
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//! smoothing radius, in pixels, for cleaning up FG image.
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int smoothingRadius;
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int smoothingRadius;
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private:
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private:
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float maxVal_, minVal_;
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float maxVal_, minVal_;
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