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Update docker.md for Nvidia GPUs #247

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Update docker.md for Nvidia GPUs
MukilanKarthikeyan Sep 16, 2025
22805c5
Update docker.md for minor syntax
MukilanKarthikeyan Sep 19, 2025
a7aa1a2
Updating an out of date setup step
MukilanKarthikeyan Sep 25, 2025
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29 changes: 17 additions & 12 deletions setup_instructons/docker.md
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Expand Up @@ -47,11 +47,6 @@ Search for and install the following extensions in VS Code

[Install Git using the instructions here](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)

1. clone this repo
```bash
git clone https://github.com/RoboJackets/software-training.git
```

## 4. Create directory to mount container

The docker container is essentially a self-contained instance of Ubuntu 22.04, with access to any files in the directory you mount it in. We do this so the container can see the repositories you clone locally, that way both local development and containerized testing can be done seamlessly.
Expand Down Expand Up @@ -93,7 +88,7 @@ Our installation script will:
1. Run the script

```bash
bash setup.sh
bash ./setup.sh
```


Expand Down Expand Up @@ -133,11 +128,20 @@ sudo apt update
sudo apt upgrade
```

If you have a Nvidia GPU you an install the following if you want any accelerations:
```bash
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg && \
curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list && \
sudo apt-get update
```

## Software Training Support Library Download

> **_NOTE_** bash script should have installed stsl and software training old, if you can not find the directory then install them manually/ move stsl into `/training_ws/src`
> **_NOTE_** bash script should have installed stsl and software training old, if you can not find the directory then install them manually/ move stsl into `./training_ws/src`
```bash
cd /training_ws/src
cd ./training_ws/src
```
```bash
git clone https://github.com/RoboJackets/stsl.git
Expand All @@ -146,30 +150,31 @@ git clone https://github.com/RoboJackets/stsl.git

## Install ROS Dependencies
```bash
cd /training_ws
cd ./training_ws
rosdep update && rosdep install --from-paths src --ignore-src -r -y
```


## Colcon Build
1. Navigate to training_ws
```bash
cd /training_ws
cd ./training_ws
```

1. Run Colcon
```bash
colcon build
```
> **_NOTE_** if this is failing:
> 1. check that `stsl` exists in the directory `/training_ws/src`
> 1. check that `stsl` exists in the directory `./training_ws/src`
> 1. make sure you only have one version of stsl within your `rj_trianing_container`
> 1. run `source `/opt/ros/humble/setup.bash`
> 1. make sure the rosdep command ran sucessfully
> 1. make sure you have enough RAM available

1. source the result for future projects
```bash
source install/setup.bash
source ./install/setup.bash
```

# You've set up your enviornemnt. Congratulations!
Expand Down