OpenRTiST
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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.
Oxirgi yangilanish
Xavfsizlik — dastur ishlab chiquvchilar maʼlumotlaringizni qanday jamlashi va ulashishini tushunishdan boshlanadi. Maʼlumotlar maxfiyligi va xavfsizlik amaliyotlari ilovadan foydalanish, hudud va yoshga qarab farq qilishi mumkin. Bu axborot dastur ishlab chiquvchi tomonidan taqdim etilgan va keyinchalik yangilanishi mumkin.
Nima yangiliklar
Updating targetSDK to 33.
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Dasturchi haqida
Carnegie-Mellon University
satya@andrew.cmu.edu
5000 Forbes Ave
Pittsburgh, PA 15213
United States
+1 412-268-3743
