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 application was developed to show the effects of network latency and...
OpenMiDaS: Edge-based Monocular Depth EstimationOpenMiDaS transmits a video stream from the device...
OpenRTiST: Real-Time Style Transfer (ARCore)*This ARCore enabled version of OpenRTiST allows the...
OpenScout: Distributed Automated Situational AwarenessOpenScout utilizes Gabriel, a platform for wearable cognitive...
Gabriel is a platform-as-a-service (PaaS) to support a new class of applications...
This is a face swap demo application that can be used to...
Created with AppPage.net
Similar Apps - visible in preview.