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.
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4.2
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What's New

2.0.2:
* Fix for local execution
* Added play/pause button for style iteration
2.0.1:
* Fix bug causing two application icons to be displayed
2.0:
* Uses new Gabriel platform based on websockets/protobufs (incompatible with legacy backend server; please pull new Docker image)
* New local execution using pytorch-android for select styles
* Dynamically discover styles/descriptions/reference images from server
* Confirm server deletion
* Fix for stereoscopic mode crashes
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Additional Information

Updated
November 25, 2019
Size
62M
Installs
100+
Current Version
2.0.2
Requires Android
6.0 and up
Content Rating
Everyone
Permissions
Offered By
CMU Satya Lab
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