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I would like to request the implementation of features for handling virtual backgrounds and frame processing using AI models in the react-native-webrtc library. This would include capabilities such as background blurring, virtual backgrounds, and general frame processing using TensorFlow Lite or other machine learning frameworks.
Use Case: These features are essential for enhancing video call experiences in webrtc applications, allowing users to blur their background or replace it with custom images.
Proposed Solution:
Integrate TensorFlow Lite for background segmentation.
Provide APIs to apply custom image backgrounds or blur effects.
Ensure compatibility with existing react-native-webrtc functionalities.
Benefits:
Enhanced user experience with advanced video effects.
Competitive edge for applications using react-native-webrtc.
Thank you for considering this request!
this is an example
The text was updated successfully, but these errors were encountered:
I would like to request the implementation of features for handling virtual backgrounds and frame processing using AI models in the react-native-webrtc library. This would include capabilities such as background blurring, virtual backgrounds, and general frame processing using TensorFlow Lite or other machine learning frameworks.
Use Case: These features are essential for enhancing video call experiences in webrtc applications, allowing users to blur their background or replace it with custom images.
Proposed Solution:
Integrate TensorFlow Lite for background segmentation.
Provide APIs to apply custom image backgrounds or blur effects.
Ensure compatibility with existing react-native-webrtc functionalities.
Benefits:
Enhanced user experience with advanced video effects.
Competitive edge for applications using react-native-webrtc.
Thank you for considering this request!
this is an example
The text was updated successfully, but these errors were encountered: