OpenRTiST (ARCore)

CMU Satya Lab

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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.

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Update targetSDK to 33.