elucideye/drishti
C++ real-time eye and face tracking system for iOS, Android, and embedded devices using ML-based detection.
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Drishti is a real-time eye tracking system designed for embedded and mobile platforms. It leverages machine learning techniques including dlib for face detection, xgboost, and gradient boosting for object detection tasks. The project provides native implementations for iOS and Android alongside desktop variants through a CMake-based build system.
Frequently asked
- What is elucideye/drishti?
- C++ real-time eye and face tracking system for iOS, Android, and embedded devices using ML-based detection.
- Is drishti open source?
- Yes — elucideye/drishti is open source, released under the BSD-3-Clause license.
- What language is drishti written in?
- elucideye/drishti is primarily written in C++.
- How popular is drishti?
- elucideye/drishti has 402 stars on GitHub.
- Where can I find drishti?
- elucideye/drishti is on GitHub at https://github.com/elucideye/drishti.