OpenRTiST
100+
Preuzimanja
Svako
info
O aplikaciji
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.
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.
Ažurirano dana
Sigurnost počinje razumijevanjem na koji način programeri prikupljaju i dijele vaše podatke. Privatnost podataka i sigurnosne prakse se mogu razlikovati ovisno o korištenju, regiji i dobi. Programer je naveo ove informacije i može ih s vremenom ažurirati.
Podaci se ne dijele s trećim stranama
Saznajte više o načinu na koji programeri pružaju izjavu o dijeljenju
Podaci se ne prikupljaju
Saznajte više o načinu na koji programeri pružaju izjavu o prikupljanju
Što je novo
Updating targetSDK to 33.
Podrška za aplikaciju
Informacije o programeru
Carnegie-Mellon University
satya@andrew.cmu.edu
5000 Forbes Ave
Pittsburgh, PA 15213
United States
+1 412-268-3743
