The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library that has been specifically designed for real-time gesture recognition. In addition to a comprehensive C++ API, the GRT now also includes an easy-to-use graphical user interface (GUI) which enables user s to stream real-time data into the GUI via the Open Sound Control network protocol. Using the GUI you can: (1) Setup and configure a gesture recognition pipeline that can be used for classification, regression, or timeseries analysis. (2) Stream real-time data into the GUI via Open Sound Control (OSC) another application (such as Processing, Max, Pure Data, Openframeworks, etc.). (3) Record, label, save and load your training data. (4) Train a model for classification or regression. (5) Test the generalization abilities of the model (using another test dataset or cross validation). (6) Perform real-time prediction on new data streamed into the GUI via OSC. (7) Stre

GRT_V0.1_17_Windows
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