virtual-background-android and virtual-background-ios
These two tools are ecosystem siblings, representing platform-specific implementations of the same virtual background functionality, with the Android version leveraging TensorFlow Lite and the iOS version utilizing Core ML for body segmentation.
About virtual-background-android
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.
About virtual-background-ios
ochornenko/virtual-background-ios
This project leverages Core ML body segmentation to replace the background in real-time on iOS 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 tool helps iOS app developers add real-time virtual background features to their camera-enabled applications. It takes live camera input, automatically detects and segments human figures, and then replaces the original background with a custom image. Developers can integrate this to offer users dynamic virtual backgrounds on their iPhone or iPad.
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