GestureRecognitionToolkit
Version: 0.1.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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Here is a list of all documented class members with links to the class documentation for each member:
- a -
a :
ContinuousHiddenMarkovModel
activationFunctionFromString() :
MLP
activationFunctionToString() :
MLP
AdaBoost() :
AdaBoost
add() :
MatrixFloat
addClass() :
ClassificationData
addClassifierToEnsemble() :
BAG
addContextModule() :
GestureRecognitionPipeline
addFeatureExtractionModule() :
GestureRecognitionPipeline
addOption() :
CommandLineParser
addPostProcessingModule() :
GestureRecognitionPipeline
addPreProcessingModule() :
GestureRecognitionPipeline
addSample() :
ClassificationData
,
ClassificationDataStream
,
RegressionData
,
TimeSeriesClassificationData
,
UnlabelledData
addWeakClassifier() :
AdaBoost
allowNullGestureClass :
TimeSeriesClassificationData
ANBC() :
ANBC
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