ochornenko/virtual-background-android
This project leverages TensorFlow Lite's body segmentation to replace the background in real-time on Android devices. Using deep learning model, it accurately detects and segments the human figure, allowing users to apply custom virtual backgrounds. Optimized for performance, it ensures smooth processing on mobile devices.
This project helps Android app developers add a real-time virtual background feature to their applications. It takes a live camera feed from an Android device and a user-selected background image. The output is a processed video stream with the original background replaced by the custom image, specifically for video conferencing or streaming apps. App developers building communication or content creation tools would use this.
No commits in the last 6 months.
Use this if you are an Android app developer looking to integrate high-performance, real-time virtual background capabilities into your mobile application.
Not ideal if you are an end-user simply looking for a virtual background app to download and use directly, or if you are developing for a non-Android platform.
Stars
9
Forks
4
Language
Kotlin
License
Apache-2.0
Category
Last pushed
Oct 08, 2025
Commits (30d)
0
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