https://github.com/leggedrobotics/learning_docker
https://github.com/leggedrobotics/learning_docker
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/leggedrobotics/learning_docker
- Owner: leggedrobotics
- Created: 2021-12-24T14:03:23.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-04-26T16:12:09.000Z (about 3 years ago)
- Last Synced: 2025-04-06T20:46:30.349Z (about 1 year ago)
- Language: Shell
- Size: 40 KB
- Stars: 10
- Watchers: 26
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# Docker Learning Containers:
## Remote Container:
replace `` with `gpu` or `ros`
1. Installation:
```shell
cd remote_ && ./bin/build.sh
```
2. Running the Container:
```shell
cd remote_ && ./bin/run.sh --password=docker --port=12355 --name=good_student --home=/some_path/RSL
```
- `--password`: Password to login using ssh
- `--port`: SSH port used
- `--home`: Directory on the host machine that is mapped inside container.
- `--name`: Name of the container. Is used to create a folder under `--home`
## Linuxserver Container:
Allows to create a virtual desktop.
We assume you are able to run the Nvidia Docker Container.
Ideally, the computer should be assigned a static IP such that it easily reachable within the ETH network.
If not follow this guide:
Big thanks to
1. Installation:
```shell
sudo docker pull lscr.io/linuxserver/rdesktop:ubuntu-xfce
```
2. Running the Container:
Start this container on the powerfull host machine.
```shell
./linuxserver/run.sh --port=14402 --name=good_student --home=/some_path/RSL
```
- `--port`: SSH port used
- `--home`: Directory on the host machine that is mapped inside container.
- `--name`: Name of the container.
Provide the students with the generated output, which provides detailed instructions on how to access the container.