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Live video frames from the camera are styled to look like famous paintings.
OpenRTiST: Real-Time Style Transfer (ARCore)
*This ARCore enabled version of OpenRTiST allows the user to control the depth at which the style is applied to the image frames.
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 in the Latest Version 2.1-ar
Last updated on Nov 12, 2021
* ARCore enabled version of OpenRTiST allows user to control the depth at which the current style is applied.
* Leverages v2.3.0 of the gabriel-client and gabriel-serverlist libraries.
* Server List Controls: Click plus sign icon to add server, swipe left/right to delete, tap server card to connect.
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OpenRTiST (ARCore)
2.1-ar by CMU Satya Lab
Nov 12, 2021