EM.TrainM Method

EMTrainM Method

OpenCvSharp Class Library

Estimates Gaussian mixture parameters from the sample set

Namespace: OpenCvSharp.CPlusPlus
Assembly: OpenCvSharp.CPlusPlus (in OpenCvSharp.CPlusPlus.dll) Version: 1.0.0.0 (1.0.0.0)

Syntax

C++

Copy

public virtual bool TrainM(
	InputArray samples,
	InputArray probs0,
	OutputArray logLikelihoods = null,
	OutputArray labels = null,
	OutputArray probs = null
)

Public Overridable Function TrainM ( 
	samples As InputArray,
	probs0 As InputArray,
	Optional logLikelihoods As OutputArray = Nothing,
	Optional labels As OutputArray = Nothing,
	Optional probs As OutputArray = Nothing
) As Boolean

public:
virtual bool TrainM(
	InputArray^ samples, 
	InputArray^ probs0, 
	OutputArray^ logLikelihoods = nullptr, 
	OutputArray^ labels = nullptr, 
	OutputArray^ probs = nullptr
)

abstract TrainM : 
        samples : InputArray * 
        probs0 : InputArray * 
        ?logLikelihoods : OutputArray * 
        ?labels : OutputArray * 
        ?probs : OutputArray 
(* Defaults:
        let _logLikelihoods = defaultArg logLikelihoods null
        let _labels = defaultArg labels null
        let _probs = defaultArg probs null
*)
-> bool 
override TrainM : 
        samples : InputArray * 
        probs0 : InputArray * 
        ?logLikelihoods : OutputArray * 
        ?labels : OutputArray * 
        ?probs : OutputArray 
(* Defaults:
        let _logLikelihoods = defaultArg logLikelihoods null
        let _labels = defaultArg labels null
        let _probs = defaultArg probs null
*)
-> bool

Parameters

samples: Type: OpenCvSharp.CPlusPlusInputArray
[Missing <param name="samples"/> documentation for "M:OpenCvSharp.CPlusPlus.EM.TrainM(OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray)"]
probs0: Type: OpenCvSharp.CPlusPlusInputArray
[Missing <param name="probs0"/> documentation for "M:OpenCvSharp.CPlusPlus.EM.TrainM(OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray)"]
logLikelihoods (Optional): Type: OpenCvSharp.CPlusPlusOutputArray
[Missing <param name="logLikelihoods"/> documentation for "M:OpenCvSharp.CPlusPlus.EM.TrainM(OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray)"]
labels (Optional): Type: OpenCvSharp.CPlusPlusOutputArray
[Missing <param name="labels"/> documentation for "M:OpenCvSharp.CPlusPlus.EM.TrainM(OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray)"]
probs (Optional): Type: OpenCvSharp.CPlusPlusOutputArray
[Missing <param name="probs"/> documentation for "M:OpenCvSharp.CPlusPlus.EM.TrainM(OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray)"]

Return Value

Type: Boolean

[Missing <returns> documentation for "M:OpenCvSharp.CPlusPlus.EM.TrainM(OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.InputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray,OpenCvSharp.CPlusPlus.OutputArray)"]

Reference

EM Class

OpenCvSharp.CPlusPlus Namespace