5.0 KiB
Acknowledgement
This project is a migration from ROS1 to ROS2. The original code was developed by CircusMonkey. I would like to express my gratitude for his contribution.
image2rtsp
This project enables the conversion of a selected ROS2 topic of type sensor_msgs::msg::Image into an RTSP stream, with an anticipated delay of approximately 30-50ms. The generated stream can be utilized for various purposes such as remote control, object detection tasks, monitoring, and more. Please note that the migration process is ongoing, and therefore, the complete functionality of the original package is not yet available.
The development is being carried out on Ubuntu 20.04 with ROS2 Foxy.
You are reading now the README for a package written as a ROS2 Foxy component. If you want to use this package as a default ROS2 Foxy package, checkout master_foxy branch.
Dependencies
-
ROS2 foxy
-
gstreamer libs:
sudo apt-get install libgstreamer-plugins-base1.0-dev libgstreamer-plugins-good1.0-dev libgstreamer-plugins-bad1.0-dev libgstrtspserver-1.0-dev gstreamer1.0-plugins-ugly gstreamer1.0-plugins-bad
Install
- Navigate to the root directory, create a new directory named
ros2_ws/src, and then change the current working directory toros2_ws/src:cd mkdir -p ros2_ws/src cd ros2_ws/src/ - Clone the package and navigate into the directory
image2rtsp:git clone https://gitlab.rhrk.uni-kl.de/dmalad/image2rtsp.git cd image2rtsp/ - To use the package as a simple subscriber with ROS2 Foxy stay on the main (Dont forget to switch the README).
- To use the package as a component with ROS2 checkout ros2_component branch.
git checkout ros2_component - Check the framerate of the topic to be subscribed:
ros2 topic hz /someTopic - All the parameters are hardcoded in
image2rtsp.hpp, so be sure to change them before adding theImage2rtspcomponent intoComponentManager:gedit ~/ros2_ws/src/image2rtsp/include/image2rtsp.hpp
Example ROS2 Image topic stream
topic: "/color/image_raw" # The ROS2 topic to subscribe to
mountpoint: "rs" # Choose the mountpoint for the rtsp stream.
# This will be able to be accessed from rtsp://<server_ip>/portAndMountpoint
bitrate: "500"
framerate = "30";
caps: "video/x-raw,framerate=" + framerate + "/1,width=1280,height=720";
# Set the caps to be applied after getting the ROS2 Image and before the x265 encoder.
port: "8554"
local_only: True # True = rtsp://127.0.0.1:port (The stream is accessible only from the local machine)
# False = rtsp://0.0.0.0:portAndMountpoint (The stream is accessible from the outside)
# For example, to access the stream running on the machine with IP = 192.168.20.20,
# use rtsp://192.186.20.20:portAndMountpoint
- Save your configuration and navigate to
ros2_wscolcon root, source and build the package:cd ~/ros2_ws/ colcon build --packages-select image2rtsp
Run
- Open another shell, source local setup and run
ComponentManager:cd ~/ros2_ws/ source install/setup.bash ros2 run rclcpp_components component_container - Add a component with a publisher node first.
- Source
installand add theImage2rtspcomponent:
OR to enable intra-process communication:source install/setup.bash ros2 component load /ComponentManager image2rtsp Image2rtspros2 component load /ComponentManager image2rtsp Image2rtsp -e use_intra_process_comms:=true
Check the stream
To check the stream, follow the instructions for gstreamer, mpv or VLC provided by CircusMonkey or use python script provided in this package (ensure before that the open-cv library is installed, if not pip install opencv-python). Ensure that components with publisher and subscriber nodes are loaded in the ComponentManager. Then:
gedit ~/ros2_ws/src/image2rtsp/python/rtsp.py
Replace the rtsp://0.0.0.0:8554/rs with your server's IP address, port and mount point rtsp://YOUR_IP:PORT/MOUNT_POINT. Save and run:
cd ~/ros2_ws/
source install/setup.bash
ros2 launch image2rtsp rtsp.launch.py
Limitations
- As was previously mentioned, this package allows the conversion of only one topic into an RTSP Stream.
- Some machines may have a significantly bigger delay of about 150-200ms. The reason is currently unknown.
To Do
- Port the package to Nvidia Jetson Orin. Will the use of the Nvidia encoder make the delay smaller?
- Port packages to ROS2 Humble.
- Complete the functionality according to the functionality of the original ROS package.