grt ☆
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Description:
Gesture Recognition Toolkit for real-time machine learning
Type: Formula  |  Tracked Since: Dec 28, 2025
Links: Homepage  |  formulae.brew.sh
Category: Ai ml
Tags: machine-learning gesture-recognition c-plus-plus real-time ai
Install: brew install grt
About:
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source C++ library designed for building real-time gesture recognition systems. It provides a comprehensive suite of machine learning algorithms for time-series classification, enabling developers to create robust interactive systems. Its primary value is abstracting complex ML tasks into a simple, real-time capable API for HCI applications.
Key Features:
  • Real-time time-series classification
  • C++ library with bindings for Python, Node.js, and Java
  • Comprehensive suite of ML algorithms (SVM, KNN, HMM, etc.)
  • Cross-platform support (Windows, macOS, Linux)
Use Cases:
  • Interactive art installations and new media projects
  • Wearable sensor data analysis and activity recognition
  • Custom controller development for games and VR/AR
  • Robotics and drone control using gesture inputs
Alternatives:
  • TensorFlow Lite for Microcontrollers – More focused on deploying pre-trained neural networks on embedded hardware, whereas GRT provides a broader set of algorithms and a framework for training models from scratch specifically for gesture recognition.
  • scikit-learn – A general-purpose Python ML library not optimized for real-time, low-latency time-series classification, lacking GRT's specific focus and architecture for interactive applications.
Version History
Detected Version Rev Change Commit
Sep 13, 2025 3:04pm 0 VERSION_BUMP 2688e8da
Oct 27, 2024 3:46pm 0 VERSION_BUMP 5ff55c63
Sep 13, 2024 12:28pm 0 VERSION_BUMP 81eacedb
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