OpenCV for Unity  2.6.3
Enox Software / Please refer to OpenCV official document ( http://docs.opencv.org/4.10.0/index.html ) for the details of the argument of the method.
Public Member Functions | Static Public Member Functions | Protected Member Functions | List of all members
OpenCVForUnity.BgsegmModule.BackgroundSubtractorGSOC Class Reference

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper. More...

Inheritance diagram for OpenCVForUnity.BgsegmModule.BackgroundSubtractorGSOC:
OpenCVForUnity.VideoModule.BackgroundSubtractor OpenCVForUnity.CoreModule.Algorithm OpenCVForUnity.DisposableOpenCVObject OpenCVForUnity.DisposableObject

Public Member Functions

override void apply (Mat image, Mat fgmask, double learningRate)
 Computes a foreground mask. More...
 
override void apply (Mat image, Mat fgmask)
 Computes a foreground mask. More...
 
override void getBackgroundImage (Mat backgroundImage)
 Computes a background image. More...
 
- Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
IntPtr getNativeObjAddr ()
 
virtual void clear ()
 Clears the algorithm state. More...
 
virtual bool empty ()
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
 
void save (string filename)
 
virtual string getDefaultName ()
 
- Public Member Functions inherited from OpenCVForUnity.DisposableObject
void Dispose ()
 
void ThrowIfDisposed ()
 

Static Public Member Functions

static new BackgroundSubtractorGSOC __fromPtr__ (IntPtr addr)
 
- Static Public Member Functions inherited from OpenCVForUnity.VideoModule.BackgroundSubtractor
static new BackgroundSubtractor __fromPtr__ (IntPtr addr)
 
- Static Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
static Algorithm __fromPtr__ (IntPtr addr)
 
- Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr ThrowIfNullIntPtr (IntPtr ptr)
 

Protected Member Functions

override void Dispose (bool disposing)
 
- Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
 DisposableOpenCVObject ()
 
 DisposableOpenCVObject (IntPtr ptr)
 
 DisposableOpenCVObject (bool isEnabledDispose)
 
 DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)
 
- Protected Member Functions inherited from OpenCVForUnity.DisposableObject
 DisposableObject ()
 
 DisposableObject (bool isEnabledDispose)
 

Additional Inherited Members

- Properties inherited from OpenCVForUnity.DisposableObject
bool IsDisposed [get, protected set]
 
bool IsEnabledDispose [get, set]
 

Detailed Description

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

This algorithm demonstrates better performance on CDNET 2014 dataset compared to other algorithms in OpenCV.

Member Function Documentation

◆ __fromPtr__()

static new BackgroundSubtractorGSOC OpenCVForUnity.BgsegmModule.BackgroundSubtractorGSOC.__fromPtr__ ( IntPtr  addr)
static

◆ apply() [1/2]

override void OpenCVForUnity.BgsegmModule.BackgroundSubtractorGSOC.apply ( Mat  image,
Mat  fgmask,
double  learningRate 
)
virtual

Computes a foreground mask.

Parameters
imageNext video frame.
fgmaskThe output foreground mask as an 8-bit binary image.
learningRateThe value between 0 and 1 that indicates how fast the background model is learnt. Negative parameter value makes the algorithm to use some automatically chosen learning rate. 0 means that the background model is not updated at all, 1 means that the background model is completely reinitialized from the last frame.

Reimplemented from OpenCVForUnity.VideoModule.BackgroundSubtractor.

◆ apply() [2/2]

override void OpenCVForUnity.BgsegmModule.BackgroundSubtractorGSOC.apply ( Mat  image,
Mat  fgmask 
)
virtual

Computes a foreground mask.

Parameters
imageNext video frame.
fgmaskThe output foreground mask as an 8-bit binary image.
learningRateThe value between 0 and 1 that indicates how fast the background model is learnt. Negative parameter value makes the algorithm to use some automatically chosen learning rate. 0 means that the background model is not updated at all, 1 means that the background model is completely reinitialized from the last frame.

Reimplemented from OpenCVForUnity.VideoModule.BackgroundSubtractor.

◆ Dispose()

override void OpenCVForUnity.BgsegmModule.BackgroundSubtractorGSOC.Dispose ( bool  disposing)
protectedvirtual

◆ getBackgroundImage()

override void OpenCVForUnity.BgsegmModule.BackgroundSubtractorGSOC.getBackgroundImage ( Mat  backgroundImage)
virtual

Computes a background image.

Parameters
backgroundImageThe output background image.
@note Sometimes the background image can be very blurry, as it contain the average background
statistics.

Reimplemented from OpenCVForUnity.VideoModule.BackgroundSubtractor.


The documentation for this class was generated from the following file: