From bd8be71b97e9c38858713baed4bde92cda4ef081 Mon Sep 17 00:00:00 2001 From: <> Date: Mon, 27 May 2024 17:05:38 +0000 Subject: [PATCH] Deployed 19528843 with MkDocs version: 1.6.0 --- images/docker-kdenlive/index.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/images/docker-kdenlive/index.html b/images/docker-kdenlive/index.html index b05f9dd235..d7b7da3ad9 100644 --- a/images/docker-kdenlive/index.html +++ b/images/docker-kdenlive/index.html @@ -1,4 +1,4 @@ - kdenlive - LinuxServer.io
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linuxserver/kdenlive

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Kdenlive is a powerful free and open source cross-platform video editing program made by the KDE community. Feature rich and production ready.

kdenlive

Supported Architectures

We utilise the docker manifest for multi-platform awareness. More information is available from docker here and our announcement here.

Simply pulling lscr.io/linuxserver/kdenlive:latest should retrieve the correct image for your arch, but you can also pull specific arch images via tags.

The architectures supported by this image are:

Architecture Available Tag
x86-64 amd64-<version tag>
arm64 arm64v8-<version tag>
armhf

Application Setup

The application can be accessed at:

  • http://yourhost:3000/
  • https://yourhost:3001/

Hardware Acceleration (x86_64 only)

In order to perform hardware transcoding you will need to mount a video device into the container. Some of the default hardware rendering/transcode profiles will point to devices in /dev/dri for vaapi_device. Make sure the profile you are using points to the correct device in the container. IE if you have intel integrated graphics along with an Nvdia or AMD video card you might have renderD128, renderD129, etc. To check which device is which use vainfo from inside the container: (right click the desktop and open xterm)

vainfo --display drm --device /dev/dri/renderD128
+ kdenlive - LinuxServer.io      

linuxserver/kdenlive

Scarf.io pulls GitHub Stars GitHub Release GitHub Package Repository GitLab Container Registry Quay.io Docker Pulls Docker Stars Jenkins Build LSIO CI

Kdenlive is a powerful free and open source cross-platform video editing program made by the KDE community. Feature rich and production ready.

kdenlive

Supported Architectures

We utilise the docker manifest for multi-platform awareness. More information is available from docker here and our announcement here.

Simply pulling lscr.io/linuxserver/kdenlive:latest should retrieve the correct image for your arch, but you can also pull specific arch images via tags.

The architectures supported by this image are:

Architecture Available Tag
x86-64 amd64-<version tag>
arm64 arm64v8-<version tag>
armhf

Application Setup

The application can be accessed at:

  • http://yourhost:3000/
  • https://yourhost:3001/

Hardware Acceleration (x86_64 only)

In order to perform hardware transcoding you will need to mount a video device into the container. Some of the default hardware rendering/transcode profiles will point to devices in /dev/dri for vaapi_device. Make sure the profile you are using points to the correct device in the container. IE if you have intel integrated graphics along with an Nvdia or AMD video card you might have renderD128, renderD129, etc. To check which device is which use vainfo from inside the container: (right click the desktop and open xterm)

vainfo --display drm --device /dev/dri/renderD128
 

Nvidia

Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here: https://github.com/NVIDIA/nvidia-docker

We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. 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 ). NVIDIA automatically mounts the GPU and drivers from your host into the container.

Options in all KasmVNC based GUI containers

This container is based on Docker Baseimage KasmVNC which means there are additional environment variables and run configurations to enable or disable specific functionality.

Optional environment variables

Variable Description
CUSTOM_PORT Internal port the container listens on for http if it needs to be swapped from the default 3000.
CUSTOM_HTTPS_PORT Internal port the container listens on for https if it needs to be swapped from the default 3001.
CUSTOM_USER HTTP Basic auth username, abc is default.
PASSWORD HTTP Basic auth password, abc is default. If unset there will be no auth
SUBFOLDER Subfolder for the application if running a subfolder reverse proxy, need both slashes IE /subfolder/
TITLE The page title displayed on the web browser, default "KasmVNC Client".
FM_HOME This is the home directory (landing) for the file manager, default "/config".
START_DOCKER If set to false a container with privilege will not automatically start the DinD Docker setup.
DRINODE If mounting in /dev/dri for DRI3 GPU Acceleration allows you to specify the device to use IE /dev/dri/renderD128
LC_ALL Set the Language for the container to run as IE fr_FR.UTF-8 ar_AE.UTF-8
NO_DECOR If set the application will run without window borders for use as a PWA.
NO_FULL Do not autmatically fullscreen applications when using openbox.

Optional run configurations

Variable Description
--privileged Will start a Docker in Docker (DinD) setup inside the container to use docker in an isolated environment. For increased performance mount the Docker directory inside the container to the host IE -v /home/user/docker-data:/var/lib/docker.
-v /var/run/docker.sock:/var/run/docker.sock Mount in the host level Docker socket to either interact with it via CLI or use Docker enabled applications.
--device /dev/dri:/dev/dri Mount a GPU into the container, this can be used in conjunction with the DRINODE environment variable to leverage a host video card for GPU accelerated appplications. Only Open Source drivers are supported IE (Intel,AMDGPU,Radeon,ATI,Nouveau)

Language Support - Internationalization

The environment variable LC_ALL can be used to start this image in a different language than English simply pass for example to launch the Desktop session in French LC_ALL=fr_FR.UTF-8. Some languages like Chinese, Japanese, or Korean will be missing fonts needed to render properly known as cjk fonts, but others may exist and not be installed. We only ensure fonts for Latin characters are present. Fonts can be installed with a mod on startup.

To install cjk fonts on startup as an example pass the environment variables:

-e DOCKER_MODS=linuxserver/mods:universal-package-install
 -e INSTALL_PACKAGES=fonts-noto-cjk
 -e LC_ALL=zh_CN.UTF-8
@@ -60,4 +60,4 @@
   --pull \
   -t lscr.io/linuxserver/kdenlive:latest .
 

The ARM variants can be built on x86_64 hardware using multiarch/qemu-user-static

docker run --rm --privileged multiarch/qemu-user-static:register --reset
-

Once registered you can define the dockerfile to use with -f Dockerfile.aarch64.

Versions

  • 10.02.24: - Update Readme with new env vars and ingest proper PWA icon.
  • 24.04.23: - Ensure application launches in fullscreen.
  • 18.03.23: - Rebase to KasmVNC base image.
  • 16.09.22: - Migrate to s6v3.
  • 09.03.22: - Update seccomp explanation.
  • 07.03.22: - Initial release.
\ No newline at end of file +

Once registered you can define the dockerfile to use with -f Dockerfile.aarch64.

Versions

  • 10.02.24: - Update Readme with new env vars and ingest proper PWA icon.
  • 24.04.23: - Ensure application launches in fullscreen.
  • 18.03.23: - Rebase to KasmVNC base image.
  • 16.09.22: - Migrate to s6v3.
  • 09.03.22: - Update seccomp explanation.
  • 07.03.22: - Initial release.
\ No newline at end of file