GestureRecognitionToolkit
Version: 1.0 Revision: 04-03-15
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level
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►
N
GRT
C
AdaBoost
C
AdaBoostClassModel
C
ANBC
C
ANBC_Model
C
AngleMagnitude
C
BAG
►
C
BernoulliRBM
C
BatchIndexs
C
Cholesky
C
CircularBuffer
C
ClassificationData
C
ClassificationResult
C
ClassificationSample
C
Classifier
C
ClassLabelAndTimer
C
ClassLabelChangeFilter
C
ClassLabelFilter
C
ClassLabelTimeoutFilter
C
ClassTracker
C
Clusterer
C
ClusterInfo
C
ClusterLevel
C
ClusterTree
C
ClusterTreeNode
C
CommandLineParser
C
Context
C
ContinuousHiddenMarkovModel
C
DeadZone
C
DebugLog
C
DebugLogMessage
C
DecisionStump
C
DecisionTree
C
DecisionTreeClusterNode
C
DecisionTreeNode
C
DecisionTreeThresholdNode
C
DecisionTreeTripleFeatureNode
C
Derivative
C
DiscreteHiddenMarkovModel
C
DoubleMovingAverageFilter
C
DTW
C
DTWTemplate
C
EigenvalueDecomposition
C
ErrorLog
C
ErrorLogMessage
C
EvolutionaryAlgorithm
C
Exception
C
FastFourierTransform
C
FeatureExtraction
C
FFT
C
FFTFeatures
C
FileParser
C
FiniteStateMachine
C
FIRFilter
C
FSMParticle
C
FSMParticleFilter
C
Gate
C
GaussianMixtureModels
C
GaussNeuron
C
GestureRecognitionPipeline
C
GMM
C
GRTBase
C
GuassModel
C
HierarchicalClustering
C
HighPassFilter
C
HMM
C
HMMTrainingObject
C
IndexDist
C
IndexedDouble
C
Individual
C
InfoLog
C
InfoLogMessage
C
KMeans
C
KMeansFeatures
C
KMeansQuantizer
C
KNN
C
LDA
C
LDAClassModel
C
LeakyIntegrator
C
LinearLeastSquares
C
LinearRegression
C
Log
C
LogisticRegression
C
LowPassFilter
C
LUDecomposition
C
Matrix
C
MatrixDouble
C
MeanShift
C
MedianFilter
C
MinDist
C
MinDistModel
C
MinMax
C
MixtureModel
C
MLBase
C
MLP
C
MovementDetector
C
MovementIndex
C
MovementTrajectoryFeatures
C
MovingAverageFilter
C
MultidimensionalRegression
C
Neuron
C
Node
C
Observer
C
ObserverManager
C
Particle
C
ParticleClassifier
C
ParticleClassifierGestureTemplate
C
ParticleClassifierParticleFilter
C
ParticleFilter
C
ParticleSwarmOptimization
C
PeakDetection
C
PeakInfo
C
PostProcessing
C
PreProcessing
C
PrincipalComponentAnalysis
C
PSOParticle
C
RadialBasisFunction
C
Random
C
RandomForests
C
RangeTracker
C
RBMQuantizer
C
RegisterClassifierModule
C
RegisterClustererModule
C
RegisterContextModule
C
RegisterFeatureExtractionModule
C
RegisterNode
C
RegisterPostProcessingModule
C
RegisterPreProcessingModule
C
RegisterRegressifierModule
C
RegisterWeakClassifierModule
C
Regressifier
C
RegressionData
C
RegressionSample
C
RegressionTree
C
RegressionTreeNode
C
SavitzkyGolayFilter
C
SelfOrganizingMap
C
Softmax
C
SoftmaxModel
C
SOMQuantizer
C
SVD
C
SVM
C
SwipeDetector
C
TestingLog
C
TestingLogMessage
C
TestInstanceResult
C
TestResult
C
TestResultsObserverManager
C
ThresholdCrossingDetector
C
TimeDomainFeatures
C
Timer
C
TimeseriesBuffer
C
TimeSeriesClassificationData
C
TimeSeriesClassificationDataStream
C
TimeSeriesClassificationSample
C
TimeSeriesClassificationSampleTrimmer
C
TimeSeriesPositionTracker
C
TimeStamp
C
TrainingDataRecordingTimer
C
TrainingLog
C
TrainingLogMessage
C
TrainingResult
C
TrainingResultsObserverManager
C
Tree
C
UnlabelledData
C
Util
C
WarningLog
C
WarningLogMessage
C
WeakClassifier
C
ZeroCrossingCounter
►
N
LIBSVM
C
Cache
C
decision_function
C
Kernel
C
ONE_CLASS_Q
C
QMatrix
►
C
Solver
C
SolutionInfo
C
Solver_NU
C
SVC_Q
C
svm_model
C
svm_node
C
svm_parameter
C
svm_problem
C
SVR_Q
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