Update docs

.github/workflows/build-docs.yaml

@@ -14,7 +14,7 @@ jobs:
 
     steps:
     - name: Install sphinx-rtd-theme
-      run: pip install sphinx-rtd-theme
+      run: pip install sphinx-rtd-theme myst-parser
     - name: Install node so that custom actions work.
       run : apt-get update && apt-get --yes install nodejs git
 

.gitignore

@@ -1,2 +1,3 @@
 docs/build/
 .vscode
+.aider*

README.md

@@ -16,13 +16,40 @@ This SDK was tested using Ubuntu 22.04 and an Nvidia GPU.
 UI features like 3D worlds (gazebo simulation) were tested with Nvidia GPUs using CDI passthrough.
 Machine-learning features like image recognition are expected to only work with NVIDIA GPUs.
 
-We use VSCode as the default IDE, and we use [Copier](https://copier.readthedocs.io/en/stable/#installation) to
-manage project templates.
+We use VSCode as the default IDE, and we use Copier to manage project templates.
 
 ### Installing Docker
 
 As per the [official Docker documentation](https://docs.docker.com/engine/install/).
 
+```bash
+#Uninstall any older docker packages
+for pkg in docker.io docker-doc docker-compose docker-compose-v2 podman-docker containerd runc; do sudo apt-get remove $pkg; done
+
+# Add Docker's official GPG key:
+sudo apt-get update
+sudo apt-get install ca-certificates curl
+sudo install -m 0755 -d /etc/apt/keyrings
+sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
+sudo chmod a+r /etc/apt/keyrings/docker.asc
+
+# Add the repository to Apt sources:
+echo \
+  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
+  $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
+  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
+sudo apt-get update
+
+#Install latest docker
+sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
+
+#Allow current user to use docker without sudo
+sudo groupadd docker
+sudo usermod -aG docker $USER
+#Reload the group
+newgrp docker
+```
+
 ### Installing Copier
 
 As per the [official Copier documentation](https://copier.readthedocs.io/en/stable/#installation)
@@ -46,11 +73,19 @@ sudo dpkg -i /tmp/vscode.deb
 ### Installing nvidia-container-toolkit
 
 
-We recomend following the [offical guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) to install the nvidia-container-toolkit.
+As per the [offical nvidia-container-toolkit guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).
 
-Make sure you run `sudo nvidia-ctk runtime configure --runtime=docker` and `sudo systemctl restart docker`.
-
-When installed correctly you should see your gpu available in `nvidia-ctk cdi list`.
+```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
+sudo apt-get install -y nvidia-container-toolkit
+sudo nvidia-ctk runtime configure --runtime=docker
+sudo nvidia-ctk cdi generate --output=/etc/cdi/nvidia.yaml
+nvidia-ctk cdi list
+```
 
 ## Quickstart
 
@@ -81,3 +116,6 @@ ROS1 is considered end of life. It's recomended to use a ROS2 template instead
  * ROS2 template
 
 We're working on it...
+
+
+

docs/source/index.rst

@@ -11,6 +11,7 @@ Welcome to spiri-sdk's documentation!
    :caption: Contents:
 
 .. include:: ../../README.md
+   :parser: myst_parser.sphinx_
 
 Indices and tables
 ==================