OpenRTiST
CMU Satya Lab Education
Live video frames from the camera are stylized to look like famous paintings.
- Downloads
- 435+
- on Google Play
- Price
- Free
- No in-app purchases
- Updated
- Feb 12
- 2024 · v2.2
Screenshots
About OpenRTiST
OpenRTiST: Real-Time Style Transfer
OpenRTiST utilizes Gabriel, a platform for wearable cognitive assistance applications, to transform the live video from a mobile client into the styles of various artworks. The frames are streamed to a server where the chosen style is applied and the transformed images are returned to the client.
Prerequisites
OpenRTiST requires a server running the backend application to connect with. The backend can run on CPU, however a machine with a discrete GPU or an integrated Intel GPU will be accelerated. Please see https://github.com/cmusatyalab/openrtist for instructions on how to setup the server.
OpenRTiST utilizes Gabriel, a platform for wearable cognitive assistance applications, to transform the live video from a mobile client into the styles of various artworks. The frames are streamed to a server where the chosen style is applied and the transformed images are returned to the client.
Prerequisites
OpenRTiST requires a server running the backend application to connect with. The backend can run on CPU, however a machine with a discrete GPU or an integrated Intel GPU will be accelerated. Please see https://github.com/cmusatyalab/openrtist for instructions on how to setup the server.
What’s new
Version 2.2 · Updated February 12, 2024
Updating targetSDK to 33.
User reviews
This works fine once you have the backend working. Please ensure you have that working. Funny little app showcasing how processing at the network cloud could be made available to all type of devices that are power constrained.
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