I'm running Jellyfin (10. by Hyedwtditpm. I have a 1080p webcam connected to a Raspberry Pi 4B over USB. 3. I can't find the link quickly but it's a known issue. ) 3: 5: FFmpeg package name in Fe. Looking for the ultimate hardware client. FYI: [Jellyfin on Raspberry Pi] Better avoid using your uSD card for the transcode data. You will probably have $150 USD into the 8GB PI where as a 3-4 yo NUC/ASROCK/Dell/HP machine will be in the range of $150-$250USD. Unfortunately, after enabling hardware transcoding (V4L2), nothing plays anymore. You will need to be using the KMS driver to get as much HW acceleration as possible in both 32 and 64bit. Hardware decode and hardware encode with scaling. It's just not powerful enough. You could also use a Ryzen apu which would be good because it can transcode really good without any dedicated graphics card. This is drastically different than Jellyfin, where Jellyfin requires a server (which can be set up on various devices (like a Synology NAS, Raspberry Pi, TrueNAS, Unraid, etc). This will run Plex great, but if you want/need Hardware Acceleration, go with the DS1520+. Looks like it's not a performance issue. The Pi 4 is certainly capable enough. The solution (at least for me) was to increase the GPU/RAM split in the /boot/config. with a USB 3. To Reproduce When installed on Raspbian either natively or through Docker. i have passtrought my gpu to lxc container and jellyfin don't use it for transcoding. You could also change them while the device was already open. 04 as 20. Installing jellyfin media server on raspberry pi 4 with omx hardware acceleration. ago. Playing my media files via Jellyfin, the NAS is very 'active', for lack of a better word. Adding the storage could be done from Jellyfin in the GUI. You would only be limited by the file system limitations of the media server. Thu Aug 20, 2020 5:00 pm. I installed the latest version of Jellyfin on a RaspberyPi4 a few days ago. 7. Right now we're the unwilling victims of an FFmpeg bug where if FFmpeg is called by an application without access to a desktop environment, it will not be able to run with Hardware Acceleration. 264 theoretically supports 4K resolutions, the Pi's hardware does not support them on H. 1. Disabling hardware encoding gets it working albeit slowly. I've successfully integrated Jellyfin with LibreELEC (Kodi) on a Raspberry Pi built into an NEC/Sharp commercial display, and. 14: 35: PVR Functionality? by xaqueA Raspberry Pi 3B+ is not capable enough to handle much, if any, transcoding. FFMpeg and Jellyfin can support multiple hardware. the 2gb version likely doesn't have the. Channels DVR Server Raspberry Pi. The call doesn't like memory allocated via other kernel subsystems (eg V4L2). 4. This decision was made because Raspberry Pi is currently migrating to a V4L2 based hardware acceleration. Basically, some hardware (e. The gpu on a rpi4 is not capable of hardware accelerated transcoding. 11. The ffmpeg package from apt now comes with hardware codecs enabled so you can just install that using: sudo apt install ffmpeg. AV1 encoding support in Jellyfin is planned in the future. To elaborate a little more, the Pi 4B can play this file natively too. Once Jellyfin has been deployed and configured, you must manually enable hardware transcoding. It works great on plex already. 7. Jellyfin is descended from Emby's 3. are correct; Tried to playback a movie from my library using my android device with transcoding set to 720p / 8 Mbit;. NET Core framework to enable full cross. Full hardware. So my experience on running Jellyfin on Raspberry Pi has not been as expected, have tried multiple options and in need for some pointers as to what to do, or move ahead on this forced marriage. ffmpeg -i video. Manually create a “jellyfin” folder and “cache” subfolder within your Docker shared folder. Be sure that under VA API Device there is the right device (/dev/dri/renderD128). They now both support omx hw transcode. Mon Nov 21, 2022 9:13 am. Download Jellyfin 10. Also, the new H. Edit your go file to include: modprobe i915 , save and reboot, then add --device=/dev/dri to "extra parameters" (switch on advanced view) And the linuxserver documentation also mentioned this: Hardware Acceleration IntelThe only limitations to this (and the only thing that would make this question Pi specific) is if it can do it in real time or not and if it has hardware to accelerate that. 178. The newest model of Raspberry Pi 4B boards come with up to 8GB RAM with 4G and 2G versions. However I'm not having much luck, as the 1080p x265 content stutters. Others will correct me if I'm wrong, but the jellyfin docs for hardware acceleration make no mention of raspberry pi. the pi5 will presumably support the same APIs so i guess they will support it also. There are four types of playback; three of which involve transcoding. I've noticed the same running the official Docker image on my Rasperry Pi 4. HARDWARE: intel i7-9700k / 8GB RAM / Nvidia 1050ti SOFTWARE: Debian stable 10. Now we get a correct video output, powered by hardware accelerated encoding! Using the hardware encoder the Pi can encode this 1080p video at 53-60 FPS, compared to just 8-10 FPS when using the libx264 CPU decoder. I consistently get this message when trying to transcode a large film. 0 January 25, 2019Pi5 has HEVC hardware video decode. You can prepare your Raspberry Pi as a web server and use it to self-host alternatives to proprietary services, you can build a Raspberry Pi retro gaming console, or you can use it as a network monitoring tool. Basically, some hardware (e. I've just setup a jellyfin server on docker on a raspberry pi 4, just for tinkering. json. When trying to read an incompatible file (say, your h265 file in a browser), it will try to transcode it to a supported format (usually h264). 0 Read the full release notes. The basic steps to create and run a Jellyfin container using Docker are as follows. Intel added support for AV1 acceleration in their latest. 6. For reference, see: FFmpeg Windows version with QSV hwaccel fails over. Go to Advanced Options > GL Driver. g. 1. Artiume commented on Jan 1, 2020. Hey guys, today I´m going to show you how to install and setup the Jellyfin media server on your Raspberry Pi. 2. At its core, I know a lot of the underline packages work for arm so I hesitate to make any claim that this will or won’t work on pi. 5 gb at idle. Hey folks, I've got Jellyfin running on a raspberry pi 4 in a docker container, streaming to the Roku app. Proxmox 7. Hardware acceleration is working for me. Introducing: Raspberry Pi 5. 7 on a raspberry pi 4 with latest manjaro arm, and I can't get hardware-accelerated transcoding to work. So it’s forced to transcode, which it can’t do in real time. Powered by a worldwide community of tinkerers and DIY enthusiasts. Raspberry Pi 4 VAAPI. Also, Portainer IO has given support to add GPU to a specific environment and then attach it to containers as per need. Jellyfin is running on Docker Client: Docker Engine - Community Version: 20. Sorry for my bad English, not my main language. Enabling hardware transcoding. I'd like to enable hardware acceleration for everything that is supported and more performant in hardware. 36. When I use the JF client on the Android STB to watch a live stream from the HD Homerun, or play a recorded show, I get terrible lag while the rpi transcodes. Run the Jellyfin server on your system and gain access to the leading free-software entertainment system, bells and whistles included. While it works pretty great at home, I set up tailscale to make it accessible to friends (am behind a CGNAT), after trying other options. The video must be encoded in H. 69 #optional. SSH into the Pi and enter: sudo apt install apache2. The new patchlevel is already in Debian experimental. hardware acceleration). ago. [Read: 15 Best Plex Alternatives. The channel logos are not displayed. To be able to activate the hardware acceleration, first we need to enable the 3D video driver (so-called Fake KMS), and then set the memory to e. ls -l /dev/nvidia*. 5) uninterrupted was on an old c2d 3gb Thinkpad, but thats not coming back anyhow. Enable the OMX hardware acceleration on Raspberry Pi; Get a mkv file with PGS subtitles that need to be burned in (I don't really know how this works -- MP4s with soft subs don't have this problem) Enable a subtitle track before playing;. 5. As of Jellyfin 10. 2 release and ported to the . The official Jellyfin for Raspberry Pi can't do HWA. I've been using Jellyfin for some time and recently installed the TVHeadEnd plugin. If I turn off the hardware decoding and acceleration from the Web interface, which Raspberry Pi can't do, I see that these. Although, hardware accelerated transcoding might be disabled on arm chips since it's a different processor architecture. 2 release and ported to the . Enabling hardware acceleration. ) 1: 1: Available Packages by Shadowghost 2023-06-18, 09:54 AM: Client Development. My VMs are on a separate array of disks. there is no hardware acceleration. If not I would consider switching to Plex. ago. volumes:. The Raspberry Pi 4 can use hardware-accelerated transcoding via the Open Max OMX interface. Hardware acceleration: VA API VA API Device: /dev/dri/renderD128 Enable hardware decoding for: H264 HEVC VC1. Exec into the container and install non-jellyfin-ffmpeg, then point the path in Jellyfin's GUI to the new non-jellyfin-ffmpeg path. This is a fresh install (10. Why_A_Username1 • 2 yr. I will need to get iGPU access to Jellyfin for transcoding. Well, I do have plugin section in my config. I also tested v4l2 (everyone says it's the future). Even though using Jellyfin as a Windows service is not recommended. I have a GT 1030 so I pocket l picked Nvidia nvenc decoder. Hello there, I recently moved my jellyfin server from a raspberry pi to a docker container inside a server with Xeon E5 2620 v3 CPU and AMD RX 580 GPU, and while software transcoding works OK (around 100 fps), I have been unable to use hardware acceleration with VAAPI, since I only get 5-10 fps while transcoding H264, and I cannot watch. AV1 encoding support in Jellyfin is planned in the future. 58720256 bytes (59 MB, 56 MiB) copied, 0. #7. Orange Pi 4 LTS is a single-board computer that is an excellent alternative to Raspberry Pi. Many platforms offer access to dedicated hardware to perform a range of video-related tasks. This decision was made because Raspberry Pi is currently migrating to a V4L2 based hardware acceleration, which is already available in Jellyfin but does not support all features. . This will run Plex great,. If you like FOSS and DIY builds, undoubtedly the Pi boards make the best Emby clients. Jellyfin is a Free Software Media System that puts you in control of managing and streaming your media. I had since bought a Raspberry Pi 4 4GB and overclocked it since I had read that it should work without an issue with HD videos. So theoretically, you could mount a share that has 10+TB available, and access it all as if it was local on the Pi. Jellyfin Settings. Raspberry pi is ok for VPU. I figure I might as well focus on one thing at. This decision was made because Raspberry Pi is currently migrating to a V4L2 based hardware acceleration, which is already available in Jellyfin but does not support all features other hardware acceleration methods provide due to. I have a Roku Express 4K set up on my 1080p television. d/jellyfin. Hardware Acceleration Jellyfin supports hardware acceleration (HWA) of video encoding/decoding using FFMpeg . Recommended. . However, none of the /dev/ interfaces necessary for jellyfin to perform hardware acceleration are exposed. So i am considering buying rpi 4 4gb version when it gets back to stock but i want to know if it is able to serve 4k hdr content in x265 format with direct play since tv i am watching my movies on is able to play x265 without transcoding. g. This can often offload a lot of resource utilization, as the hardware. NET Core framework to enable full cross-platform support. I don't think transcoding will work fine on a Raspberry Pi3b+ regardless of software or hardware acceleration. But since you specifically said you don't care about real time, the answer is yes. Transcoding is required when a client application is not compatible with the media as. mp4. Running 10. Perfect to run on a Raspberry Pi or a local server. For example, Unraid allows me to add/remove storage very easily, but how does it work with Jellyfin and hardware-acceleration? I also want to be able to run other homeserver's services, do you have any recommendation for setups or operating. Use a V4L M2M based API/method to use the H264 HW codec in the chip. Jellyfin. The CPU get the hit. Hardware acceleration; Jellyfin is a great open-source and completely free alternative to Plex with support for several clients. Steps to reproduce: Install tvheadend-git from AUR and configure with wizard, set channels up and configure specific jellyfin user. 56+0 records out. 04 arm64 ubuntu image on my rpi4 8gb, all is running well including kvm. In the sharing options I added "root" to "Maproot user" since without the client has permission issues. Overclocking to 1400Mhz seems to have helped, but. Perfect to run on a Raspberry Pi or a local server. 264. 0-beta3) for weeks now and feel safe recommending it, just make sure you backup your current data first since you can't downgrade back to 10. What would be the optimum setting for the GPU Memory on a Raspberry pi 4 with 8Gb of ram. My Raspberry Pi 4 Model B runs OSMC and TVHeadend with Plex and TVhproxy for OTA TV with a Hauppauge WinTV-DualHD Dual USB TV tuner and records to a Western Digital. Unified Video Decoder (UVD, previously called Universal Video Decoder) is the name given to AMD's dedicated video decoding ASIC. Untrue. Re: h264 hardware accelerator - how to install for Bullseye/64b. Boniface. Views expressed are still personal views. Figure 2: A properly encoded cow. There were a similar bugs mentioned in #2493 and #2494. note. So you'll probably find that Jellyfin to Kodi works, but Jellyfin to web browser won't. Configuring your Raspberry Pi for Hardware Acceleration; Telling Jellyfin to use Hardware Acceleration; Dealing with Permission Issues; Conclusion; Equipment. There are a few hardware enabled codecs on the Pi depending on which model you've got. As of Jellyfin 10. 8 Thank youYou also get the advantage of being able to use any PC OS/distro, but that doesn't really apply to Jellyfin since it could probably run fine off Raspberry Pi OS. I wanted to use a Raspberry Pi 4 8GB but have been reading that some folks ran into issues when dealing with 4k streaming. Both of them need a GPU (iGPU/dGPU) to run. 2-3 users won't matter in that case. Check the /dev/dri permissions inside the container (exec)Warning. Check the /dev/dri permissions inside the container (exec) Warning. RPI is almost always idling - no load. Pi 4 4gb Server, serving x265 content. 04 VM guest (6 cores and 4GB mem) on Proxmox ASROCK i7-4770 Intel. Jellyfin can be found in the community repository as jellyfin and jellyfin-web. If not, a small form factor pc is a good option and I personally use a Dell OptiPlex 7050 with an i7-7700, 32GB of memory, and a GTX 1650 LP for transcoding. I discovered that by disabling DRM PRIME hardware acceleration in Settings > Player, Kodi could then successfully play an h. 0 HDD. 7GB per day. In my second screenshot, under the “Video>Bitrate”, it’s at ~5000kbps, which translates to 5 megabytes/second. So theoretically, you could mount a share that has 10+TB available, and access it all as if it was local on the Pi. I have been struggling with this issue as well. Run the Jellyfin server on your system and gain access to the leading free-software entertainment system, bells and whistles included. Selecting Appropriate Hardware. I found a GT730 (or some of the other entry level models in each series) combine some transcoding power with low energy consumption. That's not to mention that it needs active cooling or else it throttles down very quickly (like, in 20 seconds). What I would like to do as well from time to time is to run a video. . The supported and validated video hardware acceleration (HWA) methods are: Intel Quick Sync Video (QSV) NVIDIA NVDEC/NVENC (NVENC) AMD Advanced Media Framework (AMF) Intel/AMD Video Acceleration API (VA-API, Linux only) Apple Video Toolbox (macOS only) Raspberry Pi Video4Linux2 (V4L2, Linux only) Enabling Hardware Acceleration for Jellyfin. I've noticed that the Pi 4 supports hardware decoding for HEVC, but upon more Googling I've found varying bits of outdated and conflicting info, so I'm a little confused. Click on Video. Enabling hardware acceleration Overclocking my Raspberry Pi's CPU to 2. This decision was made because Raspberry Pi is currently migrating to a V4L2 based hardware acceleration, which is already available in Jellyfin but does not support all features other hardware acceleration methods. Any transformation of data or routine that can be computed can be calculated purely in software running on a generic CPU, purely in custom-made. 8 hardware acceleration on Raspberry Pi via OpenMAX OMX was dropped and is no longer available. First, install it using the following commands: sudo apt-get update sudo apt-get install cpu-checker Then, check hardware acceleration status on Ubuntu using the following command: kvm-okHello friends, I have just read the last 15 posts regarding Jellyfin and the Raspberry PI4: 1gb ram and would like to check some information with you. Hi all, I'm having a problem transcoding H. H264 software encode can cope with 1080p60 relatively easily, with 4k currently hitting around 24fps. Raspberry Pi 4 OpenMediaVault 6, Docker, lscr. As of Jellyfin 10. 8 hardware acceleration on Raspberry Pi via OpenMAX OMX was dropped and is no longer available. 265 hardware block is for decoding only - to encode video, for instance from the Raspberry Pi camera, you will continue to use H. root@pi4:~# dpkg --list | grep jellyfin ii jellyfin 10. (Raspberry Pi) Hardware acceleration users for. Hi, I was trying to set up my Jellyfin server on a Pi 4 with an external HDD. 168. 168. When trying to use it (Exynos V4L2 MFC), ffmpeg returns the error: [h264_v4l2m2m @ 0x5587de52e0] Encoder requires yuv420p pixel format. I can obviously see this within the Jellyfin container's shell. Both machines spend alot of time running "ffpmeg -analyseduration" when I start playing back a 1 GB mkv or mp4 file. I understand this as a permissions issue. Both machines spend alot of time running "ffpmeg -analyseduration" when I start playing back a 1 GB mkv or mp4 file. This is a complete tutorial of how I finally achieved full iGPU passthrough to my Ubuntu 23. The Raspberry Pi is a dev board and has been around for some time. 8. When the container is recreated, necessary devices and drivers will be mapped in. I can't see how a $25 device is going to have components that are powerful enough to do this. The downside is that decoding and encoding is very demanding on the CPU. It is probably helpful to create issues using the template to ensure necessary information is provided. The first three lines give the container access to the iGPU. Usually Kubernetes distros require a ton of nodes, hardware resources, and configuration to get setup, but Microk8s can be deployed in about 2 minutes, and can be used in as small as a single-node cluster on something as light as a Raspberry Pi. Environment-Hey all, I have Jellyfin running from a 8gb pi 4. 7. See moreEnabling Hardware Acceleration for Jellyfin. You need to give the user that runs jellyfin access to /dev/dri/renderD128. However, as the relevant section of the HW Accel documentation points out, only H. . However it's very specific about what it works with, h264 has been the only thing it's worked for so far. OMX (Raspberry Pi) Intel Quicksync. I am running it through a docker container and it runs quite well for being on a raspberry pi. Tools > Preferences. caution FreeBSD and its derivatives, such as TrueNAS CORE , are NOT supported by Jellyfin due to . 0 April 19, 2019 10. If any media of 1080p+/HVEC/h265 transcodes it stutters a lot. The docker bundled version does not. Create a Linux VM, install docker and run Jellyfin in a socket container. Jellyfin's hardware settings are extensive, but a bit lacking in documentation. 1. If you want hardware acceleration, you need to use a docker-compose file. 6 using buster backports for kernel 5. I am running only Jellyfin on my Pi and no other apps. How I enabled 3D hardware acceleration and 4k60fps video hardware acceleration on Chromium for Armbian 23. In theory it can. Jellyfin is always moving forward, and bugs are often fixed as side effects of other changes. ii jellyfin-ffmpeg 4. note: emby and jellyfin support pi4 hardware transcoding. 6 using buster backports for kernel 5. The video on the server is a 1. Supports audio passthrough. This is what I did in my Proxmox container. Any-Aerie-8829. I followed the instructions here:. Plex generally has better client applications (mobile phones, smart TVs, etc), but Jellyfin is slowly getting there and offers applications for the same. Hardware acceleration: VA API VA API Device: /dev/dri/renderD128 Enable hardware decoding for: H264 HEVC VC1 . 4. 18 Nvidia Driver Version: 418. Also, the new H. I am running jellyfin 10. Raspberry Pi 3/4 Ensure you increase the allocated RAM for your GPU to at least 128 (raspi-config > Performance Options > GPU Memory). Because if you intend to use Raspberry Pi 4 as a desktop system, like I do, then hardware acceleration is a critical component of the overall experience. In theory it can. After following these instructions to set up HWA, unfortunately the underlying ffmpeg command seems to. Here's a snippet of my docker-compose, I'm using linuxserver's image: Kernel: Linux pi4 5. @JustAMan upgrade through apt, transcode still failed. October 22, 2023. Jellyfin was also not in active use (nothing listed in activity overnight) Mine is behind a reverse proxy (using jwilder/nginx-proxy:latest) and I'm using NVENC hardware acceleration. I am running jellyfin 10. It is a powerful device that can run various applications and operating systems. But it does not really have a benefit, as there is still a CPU bottleneck with the current ffmpeg implementation. 4Ghz quadcore 64-bit ARM Cortex-A76 SOC, Videocore VII GPU, and it's claimed to have a 4Kp60 HEVC decoder. I see four ways to get Jellyfin installed: Create a Linux VM, install Jellyfin. OMX is the one for Raspberry Pi 4 yes. Is there a device or home server that you recommend? Planning on having Ubuntu server + Jellyfin. The only time it ran (jf 10. Add a HDD or network drive for recordings. Download latest Poky distro, meta-openembedded, meta-raspberrypi. FBDEV and FBTURBO are not used in KMS. Reputation: 0. Playback of media is fine, however if I need to rewind or fast. When testing it doesn't work and no video is displayed in the web interface. Since 10. If your Zen CPU is suffixed with a <em>G</em>. 264 and VC-1. For gstreamer I don't know, but for ffmpeg decoding or encoding use/force the codec: h264_v4l2m2m. If you are new to Docker or this application our issue tracker is ONLY used for reporting bugs or requesting features. Jellyfin is now installed and running. As of Jellyfin 10. On the Raspberry Pi 3 and 4, Jellyfin does feature hardware acceleration support. Step 1: Determine Your Raspberry Pi's IP Address. Once Jellyfin has been deployed and configured, you must manually enable hardware transcoding. I'm running Jellyfin from my Unraid server that has an Intel i5-11400. To make sure that your Pi understands incoming requests and knows what to do with them, you will need to install some server and security software. @Werner try jellyfin on your NEO3 and compile ffmpeg with --enable-version3 --enable-rkmpp --enable-drm Personally I don't use transcoding but leave it all to the RPI3 (LibreElec) which happily plays all formats from SMB except for 10bit x265. I have AMD RAVEN APU, Capped at 35W cTDP which transcodes 4k HEVC HDR at 90 fps. Describe the bug h264_v4l2m2m acceleration is broken in Raspberry Pi 4 64 bits. Coming from local media players like Kodi, a few settings aren't clear for me. so and everything I need for hwaccel?As of Jellyfin 10. 04 Video Acceleration. Jellyfin is a Plex alternative. It looks like the surface pro 3 has a CPU from the Haswell family, which is now quite old and has very limited codec support. I frequently stream 10 Bit HDR 4K remuxes (~60GB give or take) to my Shield TV, and it works great with no dropped frames. 264 for playback on non-HEVC devices (Chromecast gen. I was wondering how capable the odroid n2 would be as a jellyfin server. They are ordered below from lowest to highest load on the server: Direct Play: Delivers the file without transcoding. I enabled hardware acceleration screenshot here. This would make sense as easyrider. 8. 8 hardware acceleration on Raspberry Pi via OpenMAX OMX was dropped and is no longer available. 8. I'm having trouble getting hardware acceleration working on the Raspberry Pi 4. Found those, but they are either for the raspberry pi 3, jellyfin running as native application or no solution posted. Nevermind that it's Plex and not Jellyfin, Hardware transcodes are Hardware transcodes more or less, and should give you a decent idea. jellyfin-server includes a hard dependency on. You can add multiple tuners for each mux. 264 for playback on non-HEVC devices (Chromecast gen. ffmpeg -i video. 264 to play on a Chromecast. note. Apologies if this question has been asked before but I could only find very mixed responses so was hoping to hear from somebody using a similar setup or that may know. The main differences between Jellyfin and Plex are that Jellyfin is open-source, completely free, and offers a lot of the features that Plex requires a paid subscription (Plex Pass) for. FBDEV and FBTURBO are not used in KMS. I haven't tried any super high bitrate files, but I. Support for external libraries, map view on mobile app, video transcoding with hardware acceleration, and. 0, as well as numerous day to day enhancements. 4. org hardware acceleration docs. pi@raspberrypi:/ramfs$ dd bs=1M count=56 if=/dev/zero of=/ramfs/testfile2 56+0 records in. If running Frigate in docker, you either need to run in priviliged mode or be sure to map. It doesn't have any useful decoding capability,. Jellyfin Media Player. Jellyfin enables you to collect, manage, and stream your media. The gpu on a rpi4 is not capable of hardware accelerated transcoding. WunderTech November 2, 2022 Raspberry Pi / Media Servers 8 mins read Today we are going to look at how to setup Jellyfin on a Raspberry Pi. Hardware acceleration users for Raspberry Pi MMAL. If true, turns on filtering of remote IP addresses using the whitelist/blacklist. My users are created by JFA-GO so they are copied from a template user I created, I just had to disable transcoding for it. Enable hardware transcoding from the Jellyfin. sudo systemctl restart jellyfin. CPUs/GPUs) have some built-in functionality that can be utilized by Jellyfin to really speed up the process of encoding/decoding video. I am trying to enable video transcoding on Jellyfin using but I am so confused about how to give docker container permissions to use V4L2 hardware acceleration. coming from jellyfin version 10. Otherwise, I'd suggest the NUC or workalike, or the Dell SFF or USFF machines. I am not a dev who has been working on this project but looking at the issue, it seems like something that could reasonably happen depending on the machine specs (support for hardware acceleration?), version information, content encoding type,. I have a Pi 4 1GB running OMV 4 with an instance of Emby (from which jellyfin is forked) running in a docker container as my home media server. I am attempting to get Jellyfin to utilize quicksync in my i5 12600k's iGPU. 2 release and ported to the . Accessing Jellyfin Remotely using Tailscale. Completed Joshua M. Click on the "dashes" icon on the top left corner -> Dashboard -> Playback and under Hardware Acceleration select Video Acceleration API (VAAPI). Here is mine for a DS218+, I use the GID of the VideoStation user which I believed to be authorized to access the graphic card. Encoding is not a given. Run the commands in the pve host shell to get what you need. If you mean for hardware acceleration it looks like it has a CPU from the Sandy Bridge generation, which is just barely recent enough to be useful for hardware acceleration.