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@a3ro-dev a3ro-dev released this 09 May 10:50

Release v1.0.0 🎉

We are excited to announce the first official release of Auto Face Framing! 🚀

What's New:

  • Real-Time Face Detection and Tracking: Utilises Opencv to detect and track the user's face in real-time.
  • Auto Face Framing: Automatically keeps the user's face centred in the frame.
  • Smooth Video Output: Ensures a seamless and professional video experience.
  • Virtual Camera Output: Easily integrate with your favourite video conferencing or streaming applications.
  • Lightweight and Efficient: Built with Python, Shell, and Batchfile for maximum performance.

Thank you for supporting Auto Face Framing! We look forward to hearing your feedback and continuing to improve the application. ❤️

Get started now by downloading v1.0.0!

Full Changelog: https://github.com/a3ro-dev/autoFaceFraming/commits/v1