Tutorial for ESS with Hawk Camera in Wide FoV Mode
Overview
This tutorial demonstrates how to:
Stream stereo images using Hawk camera in wide FoV mode.
Estimate depth using Isaac ROS ESS depth estimation.
Note
This tutorial requires an Argus-compatible stereo camera from the list of available cameras.
Isaac ROS NITROS Acceleration
This package is powered by NVIDIA Isaac Transport for ROS (NITROS), which leverages type adaptation and negotiation to optimize message formats and dramatically accelerate communication between participating nodes.
Wide FoV mode is turned on in argus_node, which generates proper camera info for rectification. Images are cropped to remove the black spots then fed into the ESSDisparityNode for depth estimation.
If you have an Argus-compatible camera, you can also use the launch file provided in this tutorial to start a fully NITROS-accelerated stereo depth graph.
Tutorial Walkthrough
Complete the Hawk setup tutorial.
Complete session Prepare ESS Pre-trained Model in ESS Quickstart Guide.
Open a new terminal and launch the Docker container using the
run_dev.sh
script:cd ${ISAAC_ROS_WS}/src/isaac_ros_common && \ ./scripts/run_dev.sh
Build and source the workspace:
cd /workspaces/isaac_ros-dev && \ colcon build --symlink-install && \ source install/setup.bash
Follow the session Run Launch File in ESS Quickstart Guide with wide FoV launch file below:
Run the launch file, which launches the example and waits for 10 seconds:
ros2 launch isaac_ros_ess isaac_ros_argus_ess_wide_fov.launch.py \ engine_file_path:=${ISAAC_ROS_WS:?}/isaac_ros_assets/models/dnn_stereo_disparity/dnn_stereo_disparity_v4.0.0/ess.engine \ threshold:=0.35