# image2rtsp **Repository Path**: yi-dao-he/image2rtsp ## Basic Information - **Project Name**: image2rtsp - **Description**: No description available - **Primary Language**: Unknown - **License**: BSD-3-Clause - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-03-18 - **Last Updated**: 2025-03-18 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ## Acknowledgement This project is a migration from ROS1 to ROS2. The original code was developed by [CircusMonkey](https://github.com/CircusMonkey/ros_rtsp/tree/master). 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 0,3-0,4s. It also supports usb camera as a direct source. The generated stream can be utilized for various purposes such as remote control, object detection tasks, monitoring and more. Currently supported `sensor_msgs::msg::Image` formats: "**rgb8**", "**rgba8**", "**rgb16**", "**rgba16**", "**bgr8**", "**bgra8**", "**bgr16**", "**bgra16**", "**mono8**", "**mono16**", "**yuv422_yuy2**". Support for **Compressed images** is added on the *dev* branch. (if you need some specific unsupported format, create an issue and i will try to add it as soon as possible) The development is being carried out on Ubuntu 20.04 with ROS2 Foxy, also tested on Ubuntu 22.04 with ROS2 Humble. You are reading now the README for a **default** ROS2 package. If you want to use this package written as a ROS2 component, checkout `ros2_component` branch. ## Dependencies - ROS2 Foxy/Humble - gstreamer libs: ```bash 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 to `ros2_ws/src`: ```bashrc cd mkdir -p ros2_ws/src cd ros2_ws/src/ ``` - Clone the package and then navigate into the directory `image2rtsp`: ```bashrc git clone https://github.com/maladzenkau/image2rtsp.git --single-branch ``` - Check the framerate of the topic to be subscribed: ```bashrc ros2 topic hz /someTopic ``` - Adjust `parameters.yaml` according to your needs: ```bashrc gedit ~/ros2_ws/src/image2rtsp/config/parameters.yaml ``` # Example ROS2 Image topic stream # If camera serves as a source (switched off by default) camera: False source: "v4l2src device=/dev/video0" topic: "/color/image_raw" # The ROS2 topic to subscribe to. Dont change, if you use a camera # Parameters for both cases mountpoint: "/back" # Choose the mountpoint for the rtsp stream. # This will be able to be accessed from rtsp:///portAndMountpoint bitrate: "500" framerate: "30" # Make sure that your framerate corresponds to the frequency of a topic you are subscribing to caps_1: "video/x-raw,framerate=" capr_2: "/1,width=640,height=480" # Set the caps to be applied after getting the ROS2 Image and before the x265 encoder. Ignore # framerate setting here. port: "8554" local_only: True # True = rtsp://127.0.0.1:portAndMountpoint (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_ws` colcon root, source and build the package: ```bashrc cd ~/ros2_ws/ colcon build --packages-select image2rtsp ``` ## Run - Source `install` and launch the package: ```bashrc source install/setup.bash ros2 launch image2rtsp image2rtsp.launch.py ``` Don't use **`ros2 run`**! ## Check the stream To check the stream, follow the instructions for gstreamer, mpv or VLC provided by [CircusMonkey](https://github.com/CircusMonkey/ros_rtsp/blob/master/README.md) or use python script provided in this package (ensure before that the open-cv library is installed, if not `pip install opencv-python`). Open new terminal, ensure that the topic to be converted exists and the RTSP stream is running. Then: ```bash gedit ~/ros2_ws/src/image2rtsp/python/rtsp.py ``` Replace the `rtsp://127.0.0.1:8554/back` with your server's IP address, port and mount point `rtsp://YOUR_IP:PORT/MOUNT_POINT`. Save and run: ```bash cd ~/ros2_ws/ source install/setup.bash ros2 launch image2rtsp rtsp.launch.py ```