ARM transcoding - Printable Version +- Jellyfin Forum (https://forum.jellyfin.org) +-- Forum: Support (https://forum.jellyfin.org/f-support) +--- Forum: General Questions (https://forum.jellyfin.org/f-general-questions) +--- Thread: ARM transcoding (/t-arm-transcoding) |
ARM transcoding - Serj-47 - 2024-03-24 I have a Chinese tvbox that has been converted into a NAS, those on it have a full-fledged linux armbian installed and a hard drive is also connected on which files with my media collection are located.In Armbian linux, I use docker for some applications, for example, for 'transmission' and it works quite normally. My question is, can I use the Jellyfin docker and transcoding version to view media content over the network? To be more precise, I am interested in whether the performance of the box is enough for video transcoding? Hardware: Amlogic CPU- Amlogic s905x3,, GPU-G31MP2, 4 GB RAM RE: ARM transcoding - gnattu - 2024-03-24 It will work to an extent, as the v4l2mem is available for this SoC. However, don't expect too much from it, as its performance is not adequate for Jellyfin. RE: ARM transcoding - Serj-47 - 2024-04-05 Thanks for your reply. I installed the jellyfin server, the docker version on one of my s905x2 TV boxes. And it works!) When playing transcoded video on my phone in the jellyfin app, I can watch it without stuttering in 480 resolution. At the same time, I see 100% CPU usage on the TV box, and this is not surprising. How do find out which type of transcoding is used on the server, software or hardware? RE: ARM transcoding - Serj-47 - 2024-04-13 As I indicated in my message above, the load of all soc cores on the server when using software transcoding is about 100%. I tried to enable hardware decoding v4l2 in the jellyfish app on my phone, but now the content is no longer playing, giving an error. The jellyfish server log - https://pastebin.com/UvhwAXh8 v4l2-compliance -s output from the server - https://pastebin.com/VeFv5nVR The launch parameters of the docker container on the server look something like this: Code: docker run -d --name jellyfin-linuxserver \ Code: ls /dev/dri |