GestureRecognitionToolkit
Version: 0.2.5
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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The ClassificationDataStream is the main data structure for recording, labeling, managing, saving, and loading datasets that can be used to test the continuous classification abilities of the GRT supervised learning algorithms. More...
#include "../Util/GRTCommon.h"
#include "TimeSeriesPositionTracker.h"
#include "ClassificationData.h"
#include "TimeSeriesClassificationData.h"
Go to the source code of this file.
Classes | |
class | ClassificationDataStream |
The ClassificationDataStream is the main data structure for recording, labeling, managing, saving, and loading datasets that can be used to test the continuous classification abilities of the GRT supervised learning algorithms.
Definition in file ClassificationDataStream.h.