Updating targetSDK to 33.
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.
This release of OpenRTiST Android App available in 2 variants. Please select the variant to download. Please read our FAQ to find out which variant is suitable for your Android device based on Screen DPI and Processor Architecture.
If you are looking to download other versions of OpenRTiST Android App, We have 6 versions in our database. Please select one of them below to download.