GestureRecognitionToolkit
Version: 0.2.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
Main Page
Related Pages
Classes
Files
Examples
File List
File Members
RBMQuantizer.h
Go to the documentation of this file.
1
37
#ifndef GRT_RBM_QUANTIZER_HEADER
38
#define GRT_RBM_QUANTIZER_HEADER
39
40
//Include the main GRT header to get access to the FeatureExtraction base class
41
#include "../../CoreModules/FeatureExtraction.h"
42
#include "../../CoreAlgorithms/BernoulliRBM/BernoulliRBM.h"
43
#include "../../DataStructures/TimeSeriesClassificationData.h"
44
#include "../../DataStructures/ClassificationDataStream.h"
45
#include "../../DataStructures/UnlabelledData.h"
46
47
GRT_BEGIN_NAMESPACE
48
49
class
GRT_API
RBMQuantizer
:
public
FeatureExtraction
{
50
public
:
56
RBMQuantizer
(
const
UINT numClusters=10);
57
63
RBMQuantizer
(
const
RBMQuantizer
&rhs);
64
68
virtual
~
RBMQuantizer
();
69
76
RBMQuantizer
& operator=(
const
RBMQuantizer
&rhs);
77
86
virtual
bool
deepCopyFrom
(
const
FeatureExtraction
*featureExtraction);
87
96
virtual
bool
computeFeatures
(
const
VectorFloat
&inputVector);
97
104
virtual
bool
reset
();
105
111
virtual
bool
clear
();
112
121
virtual
bool
save
( std::fstream &file )
const
;
122
130
virtual
bool
load
( std::fstream &file );
131
138
virtual
bool
train_
(
ClassificationData
&trainingData);
139
146
virtual
bool
train_
(
TimeSeriesClassificationData
&trainingData);
147
154
virtual
bool
train_
(
ClassificationDataStream
&trainingData);
155
162
virtual
bool
train_
(
UnlabelledData
&trainingData);
163
170
virtual
bool
train_
(
MatrixFloat
&trainingData);
171
178
UINT quantize(
const
Float inputValue);
179
186
UINT quantize(
const
VectorFloat
&inputVector);
187
193
bool
getQuantizerTrained()
const
;
194
200
UINT getNumClusters()
const
;
201
207
UINT getQuantizedValue()
const
;
208
214
VectorFloat
getQuantizationDistances()
const
;
215
221
BernoulliRBM
getBernoulliRBM()
const
;
222
228
bool
setNumClusters(
const
UINT numClusters);
229
230
//Tell the compiler we are using the following functions from the MLBase class to stop hidden virtual function warnings
231
using
MLBase::save
;
232
using
MLBase::load
;
233
using
MLBase::train
;
234
using
MLBase::train_
;
235
using
MLBase::predict
;
236
using
MLBase::predict_
;
237
238
protected
:
239
UINT numClusters;
240
BernoulliRBM
rbm;
241
VectorFloat
quantizationDistances;
242
243
static
RegisterFeatureExtractionModule< RBMQuantizer >
registerModule;
244
};
245
246
GRT_END_NAMESPACE
247
248
#endif //GRT_RBM_QUANTIZER_HEADER
MLBase::predict
virtual bool predict(VectorFloat inputVector)
Definition:
MLBase.cpp:113
MLBase::predict_
virtual bool predict_(VectorFloat &inputVector)
Definition:
MLBase.cpp:115
MatrixFloat
Definition:
MatrixFloat.h:36
ClassificationDataStream
Definition:
ClassificationDataStream.h:42
MLBase::train
virtual bool train(ClassificationData trainingData)
Definition:
MLBase.cpp:89
UnlabelledData
Definition:
UnlabelledData.h:38
MLBase::save
virtual bool save(const std::string filename) const
Definition:
MLBase.cpp:143
FeatureExtraction::computeFeatures
virtual bool computeFeatures(const VectorFloat &inputVector)
Definition:
FeatureExtraction.h:74
MLBase::load
virtual bool load(const std::string filename)
Definition:
MLBase.cpp:167
FeatureExtraction::reset
virtual bool reset()
Definition:
FeatureExtraction.h:91
BernoulliRBM
Definition:
BernoulliRBM.h:42
RegisterFeatureExtractionModule< RBMQuantizer >
ClassificationData
Definition:
ClassificationData.h:43
FeatureExtraction
Definition:
FeatureExtraction.h:38
RBMQuantizer
Definition:
RBMQuantizer.h:49
VectorFloat
Definition:
VectorFloat.h:33
MLBase::train_
virtual bool train_(ClassificationData &trainingData)
Definition:
MLBase.cpp:91
TimeSeriesClassificationData
Definition:
TimeSeriesClassificationData.h:42
FeatureExtraction::deepCopyFrom
virtual bool deepCopyFrom(const FeatureExtraction *rhs)
Definition:
FeatureExtraction.h:57
FeatureExtraction::clear
virtual bool clear()
Definition:
FeatureExtraction.cpp:108
GRT
FeatureExtractionModules
RBMQuantizer
RBMQuantizer.h
Generated on Sun Aug 7 2016 19:16:04 for GestureRecognitionToolkit by
1.8.11