- ROS2 Humble (Ubuntu 22.04)
- OpenCV (v4.5 or higher)
- Python3.10
- YOLO (installed via
ultralytics
package)
Set locale
locale # check for UTF-8
sudo apt update && sudo apt install locales
sudo locale-gen en_US en_US.UTF-8
sudo update-locale LC_ALL=en_US.UTF-8 LANG=en_US.UTF-8
export LANG=en_US.UTF-8
locale # verify settings
You will need to add the ROS 2 apt repository to your system
sudo apt install software-properties-common
sudo add-apt-repository universe
Add the ROS2 GPG key
sudo apt update && sudo apt install curl -y
sudo curl -sSL https://raw.githubusercontent.com/ros/rosdistro/master/ros.key -o /usr/share/keyrings/ros-archive-keyring.gpg
Add the repository to your sources list
echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/ros-archive-keyring.gpg] http://packages.ros.org/ros2/ubuntu $(. /etc/os-release && echo $UBUNTU_CODENAME) main" | sudo tee /etc/apt/sources.list.d/ros2.list > /dev/null
Then install it
sudo apt update && sudo apt upgrade
sudo apt install ros-humble-desktop
sudo apt install ros-humble-ros-base
sudo apt install ros-dev-tools
Then load the environment setup
source /opt/ros/humble/setup.bash
To install the required ROS2 and OpenCV libraries:
sudo apt update
sudo apt install ros-humble-desktop python3-opencv ros-humble-cv-bridge
To install YOLO for inference
pip install ultralytics
After cloning the repository, navigate to the workspace and build the package using colcon
colcon build
source install/setup.bash
This node captures video from a camera device and publishes the frames to a ROS2 topic
ros2 run faith_ros camera
For now run the inference script with python3:
ros2 run faith_ros inference <model_name>