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Releases: a3ro-dev/autoFaceFraming
Releases · a3ro-dev/autoFaceFraming
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v1
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