Foxglove Visualization ---------------------- `Foxglove `_ is a popular framework to visualize ROS running applications similar to `Rviz `_. It provides a web-based visualization client and a desktop app. Many Isaac ROS tutorials use Foxglove for the visualization. .. _foxglove-setup: Foxglove Setup -------------- Use the following steps to visualize a ROS application in Foxglove. 1. On your visualization computer install `Foxglove Studio `_ and launch it: .. figure:: :ir_lfs:`` :width: 800px :alt: foxglove_studio :align: center 2. Click on the `Open connection` button. If you are running the ROS application on a different machine than the one that is running Foxglove you'll have to adjust the `Websocket URL`. In that case, replace ``localhost`` with the IP of the ROS machine. .. figure:: :ir_lfs:`` :width: 800px :alt: foxglove_connect :align: center 3. You can now add a 3D panel and select which topics to visualize in the left bar. 4. Some tutorials also provide a pre-configured Foxglove layout in the form of a JSON file. To use those make sure you have the repository containing the tutorial cloned on your visualization machine. Import the layout file by clicking on the ``Import from file...`` in the ``layout`` drop-down menu and choosing the layout file from the correct folder. .. figure:: :ir_lfs:`` :width: 800px :alt: foxglove_import_layout :align: center .. _nvblox-foxglove-ext: Installing Additional Extensions -------------------------------- Some visualizations require additional extensions. You can install those extensions by clicking on the user icon in the top right corner and then opening the extensions menu. There you will find a list of all available extensions. An extension can be installed by clicking on it and pressing the install button. We provide the following extensions: - `Nvblox Foxglove`: Allows to visualize Nvblox meshes in Foxglove. Rosbag Visualization -------------------- To visualize a rosbag, images need to be converted from `sensor_msgs/msg/CompressedImage `__ to `foxglove_msgs/msg/CompressedVideo `__. .. include:: /_snippets/set_up_dev_env.rst 3. Launch the Docker container using the ``run_dev.sh`` script: .. code:: bash cd ${ISAAC_ROS_WS}/src/isaac_ros_common && \ ./scripts/run_dev.sh 4. Install the prebuilt Debian package: :ir_apt: .. code:: bash sudo apt-get install -y ros-humble-isaac-ros-data-replayer 5. Convert the rosbag. .. code-block:: bash ros2 run isaac_ros_data_replayer foxglove_converter.py 6. Launch Foxglove Studio and click on the **Open local file** button. .. figure:: :ir_lfs:`` :width: 800px :alt: foxglove_studio :align: center 7. Navigate to the converted rosbag and select the MCAP file to visualize it in Foxglove. .. figure:: :ir_lfs:`` :width: 800px :alt: foxglove_rosbag :align: center