![]() ![]() You can set any environment variable from a file by using a special prepend FILE_. Only needed if you want to use your Raspberry Pi V4L2 video encoding.Įnvironment variables from files (Docker secrets) Only needed if you want to use your Raspberry Pi OpenMax video encoding (Bellagio). Only needed if you want to use your Intel or AMD GPU for hardware accelerated video encoding (vaapi). ![]() Path for Raspberry Pi OpenMAX libs optional. This can grow very large, 50gb is likely for a large collection. Specify a timezone to use EG Europe/LondonĮmby data storage location. Https webUI (you need to setup your own certificate). For example, -p 8080:80 would expose port 80 from inside the container to be accessible from the host's IP on port 8080 outside the container. These parameters are separated by a colon and indicate : respectively. Lscr.io/linuxserver/emby:latest ParametersĬontainer images are configured using parameters passed at runtime (such as those above). device /dev/video12:/dev/video12 ` #optional ` \ device /dev/video11:/dev/video11 ` #optional ` \ device /dev/video10:/dev/video10 ` #optional ` \ device /dev/vchiq:/dev/vchiq ` #optional ` \ device /dev/dri:/dev/dri ` #optional ` \ v /opt/vc/lib:/opt/vc/lib ` #optional ` \ Hardware acceleration users for Raspberry Pi OpenMAX will need to mount their /dev/vchiq video device inside of the container and their system OpenMax libs by passing the following options when running or creating the container: NVIDIA automatically mounts the GPU and drivers from your host into the emby docker. Once nvidia-docker is installed on your host you will need to re/create the docker container with the nvidia container runtime -runtime=nvidia and add an environment variable -e NVIDIA_VISIBLE_DEVICES=all (can also be set to a specific gpu's UUID, this can be discovered by running nvidia-smi -query-gpu=gpu_name,gpu_uuid -format=csv ). We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here: We will automatically ensure the abc user inside of the container has the proper permissions to access this device. Hardware acceleration users for Intel Quicksync and AMD VAAPI will need to mount their /dev/dri video device inside of the container by passing the following command when running or creating the container: Webui can be found at Emby has very complete and verbose documentation located here. Please read the descriptions carefully and exercise caution when using unstable or development tags. This image provides various versions that are available via tags. The architectures supported by this image are: Architecture Simply pulling lscr.io/linuxserver/emby:latest should retrieve the correct image for your arch, but you can also pull specific arch images via tags. More information is available from docker here and our announcement here. We utilise the docker manifest for multi-platform awareness. This container is packaged as a standalone emby Media Server. Open Collective - please consider helping us by either donating or contributing to our budgetĮmby organizes video, music, live TV, and photos from personal media libraries and streams them to smart TVs, streaming boxes and mobile devices.GitHub - view the source for all of our repositories.Fleet - an online web interface which displays all of our maintained images.Discourse - post on our community forum.Discord - realtime support / chat with the community and the team.Blog - all the things you can do with our containers including How-To guides, opinions and much more!.weekly base OS updates with common layers across the entire LinuxServer.io ecosystem to minimise space usage, down time and bandwidth.The LinuxServer.io team brings you another container release featuring: ![]()
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