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stableview's Introduction

StableView

Background image credits - Les Chevaliers du Ciel


Easy, fast and efficient Head Tracking application using only webcam


Status

Last Updated - 26 April, 2024

progress gif

  • Recent Updates
    • Automatically resets when face is not detected - #68

Usage

  1. Visit the releases page and download the latest version on your platform. For Windows, a .msi installer will be provided, simply double-click on the installer and follow the installation steps. After Installing, you can simply run StableView from the start menu.

    • Make sure you have internet connectivity while installing the application as it downloads the model weights for the first time.
  2. The application uses opentrack to send the tracking data to respective applications. Please install it from their Github repo.

    After installing OpenTrack, select Input as UDP over network so that OpenTrack can receive data from StableView and send it to the required application.

Features

  • Uses your regular old webcam with AI for head tracking. Uses an extremely low CPU (<3%-60fps in Ryzen 5 3600H) and returns high performance.
  • Works with opentrack to run on any modern simulator including Microsoft Flight Simulator, Digital Combat Simulator, Xplane & more.
  • Easy to install :)

Shoutouts

Bug Report

If you see an error message or run into an issue, please open a new issue. This effort is valued and helps all the users.

Feature Request

If you have any idea or a missing feature you would like to see, please submit a feature request or discuss it with other users.

Contributing

Contributions are greatly appreciated! If you want to contribute to the project, please read Contributing.md for more details.

Contributors

Thanks to all the people who contributed to the project.

License

StableView is open-source and free software released under the MIT License.

Citations

@inproceedings{guo2020towards,
    title =        {Towards Fast, Accurate and Stable 3D Dense Face Alignment},
    author =       {Guo, Jianzhu and Zhu, Xiangyu and Yang, Yang and Yang, Fan and Lei, Zhen and Li, Stan Z},
    booktitle =    {Proceedings of the European Conference on Computer Vision (ECCV)},
    year =         {2020}
}
@misc{3ddfa_cleardusk,
    author =       {Guo, Jianzhu and Zhu, Xiangyu and Lei, Zhen},
    title =        {3DDFA},
    howpublished = {\url{https://github.com/cleardusk/3DDFA}},
    year =         {2018}
}

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