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.
CoreModules Directory Reference

Files

file  Classifier.cpp [code]
 
file  Classifier.h [code]
 This is the main base class that all GRT Classification algorithms should inherit from.
 
file  Clusterer.cpp [code]
 
file  Clusterer.h [code]
 This is the main base class that all GRT Clustering algorithms should inherit from.
 
file  Context.cpp [code]
 
file  Context.h [code]
 This is the main base class that all GRT Feature Extraction algorithms should inherit from.
 
file  FeatureExtraction.cpp [code]
 
file  FeatureExtraction.h [code]
 This is the main base class that all GRT Feature Extraction algorithms should inherit from.
 
file  GestureRecognitionPipeline.cpp [code]
 
file  GestureRecognitionPipeline.h [code]
 This file contains the GestureRecognitionPipeline class.
 
file  GRTBase.cpp [code]
 
file  GRTBase.h [code]
 This file contains the GRTBase class. This is the core base class for all the GRT modules.
 
file  MLBase.cpp [code]
 
file  MLBase.h [code]
 This is the main base class that all GRT machine learning algorithms should inherit from.
 
file  PostProcessing.cpp [code]
 
file  PostProcessing.h [code]
 This is the main base class that all GRT PostProcessing algorithms should inherit from.
 
file  PreProcessing.cpp [code]
 
file  PreProcessing.h [code]
 This is the main base class that all GRT PreProcessing algorithms should inherit from.
 
file  Regressifier.cpp [code]
 
file  Regressifier.h [code]
 This is the main base class that all GRT Regression algorithms should inherit from.