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Rebase alpine icewm to 3.16, migrate to s6v3
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@ -1,4 +1,4 @@
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FROM ghcr.io/linuxserver/baseimage-rdesktop:alpine
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FROM ghcr.io/linuxserver/baseimage-rdesktop:3.16
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# set version label
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ARG BUILD_DATE
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@ -25,4 +25,5 @@ COPY /root /
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# ports and volumes
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EXPOSE 3389
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VOLUME /config
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@ -1,4 +1,4 @@
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FROM ghcr.io/linuxserver/baseimage-rdesktop:arm64v8-alpine
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FROM ghcr.io/linuxserver/baseimage-rdesktop:arm64v8-3.16
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# set version label
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ARG BUILD_DATE
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@ -25,4 +25,5 @@ COPY /root /
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# ports and volumes
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EXPOSE 3389
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VOLUME /config
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@ -1,4 +1,4 @@
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FROM ghcr.io/linuxserver/baseimage-rdesktop:arm32v7-alpine
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FROM ghcr.io/linuxserver/baseimage-rdesktop:arm32v7-3.16
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# set version label
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ARG BUILD_DATE
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@ -25,4 +25,5 @@ COPY /root /
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# ports and volumes
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EXPOSE 3389
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VOLUME /config
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@ -125,6 +125,10 @@ https://github.com/NVIDIA/nvidia-docker
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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.
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### Arm Devices
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Best effort is made to install tools to allow mounting in /dev/dri on Arm devices. In most cases if /dev/dri exists on the host it should just work. If running a Raspberry Pi 4 be sure to enable `dtoverlay=vc4-fkms-v3d` in your usercfg.txt.
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## Usage
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Here are some example snippets to help you get started creating a container.
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@ -298,6 +302,7 @@ Once registered you can define the dockerfile to use with `-f Dockerfile.aarch64
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## Versions
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* **26.10.22:** - Rebase Alpine icewm to 3.16, migrate to s6v3.
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* **05.03.22:** - Organize tags differently to run Ubuntu at latest LTS, make Alpine latest, add docs about GPU accel.
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* **05.05.21:** - Reduce default packages to their flavor specific basics.
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* **05.04.21:** - Add Alpine flavor.
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@ -76,7 +76,7 @@ app_setup_block: |
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The first thing you should do when you login to the container is to change the abc users password by issuing the `passwd` command.
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**Modern GUI desktop apps (including some flavors terminals) have issues with the latest Docker and syscall compatibility, you can use Docker with the `--security-opt seccomp=unconfined` setting to allow these syscalls or try [podman](https://podman.io/) as they have updated their codebase to support them**
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If you ever lose your password you can always reset it by execing into the container as root:
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```
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docker exec -it rdesktop passwd abc
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@ -102,8 +102,13 @@ app_setup_block: |
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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.
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### Arm Devices
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Best effort is made to install tools to allow mounting in /dev/dri on Arm devices. In most cases if /dev/dri exists on the host it should just work. If running a Raspberry Pi 4 be sure to enable `dtoverlay=vc4-fkms-v3d` in your usercfg.txt.
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# changelog
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changelogs:
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- { date: "26.10.22:", desc: "Rebase Alpine icewm to 3.16, migrate to s6v3." }
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- { date: "05.03.22:", desc: "Organize tags differently to run Ubuntu at latest LTS, make Alpine latest, add docs about GPU accel." }
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- { date: "05.05.21:", desc: "Reduce default packages to their flavor specific basics." }
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- { date: "05.04.21:", desc: "Add Alpine flavor." }
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