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This package will build within the isaac_ros_common container on a freshly flashed Xavier NX with all Deepstream and libraries installed through the SDK manager, but will not run due to a libcupva linking issue. This is likely related to this discussion and this issue. NVIDIA should work to isolate docker images / containers from the host platform as much as possible.
Error on run:
admin@leonardo:/workspaces/isaac_ros-dev$ ros2 launch isaac_ros_apriltag isaac_ros_apriltag.launch.py
[INFO] [launch]: All log files can be found below /home/admin/.ros/log/2023-09-13-17-19-08-355659-leonardo-221427
[INFO] [launch]: Default logging verbosity is set to INFO
[INFO] [component_container_mt-1]: process started with pid [221450]
[component_container_mt-1] [INFO] [1694639950.965111504] [apriltag_container]: Load Library: /workspaces/isaac_ros-dev/install/isaac_ros_apriltag/lib/libapriltag_node.so
[component_container_mt-1] [ERROR] [1694639950.999343527] [apriltag_container]: Failed to load library: Could not load library dlopen error: libcupva_host.so.2.3: cannot open shared object file: No such file or directory, at /opt/ros/humble/src/rcutils/src/shared_library.c:99
[ERROR] [launch_ros.actions.load_composable_nodes]: Failed to load node 'apriltag' of type 'nvidia::isaac_ros::apriltag::AprilTagNode' in container '/apriltag_container': Failed to load library: Could not load library dlopen error: libcupva_host.so.2.3: cannot open shared object file: No such file or directory, at /opt/ros/humble/src/rcutils/src/shared_library.c:99
^C[WARNING] [launch]: user interrupted with ctrl-c (SIGINT)
[component_container_mt-1] [INFO] [1694639958.103195520] [rclcpp]: signal_handler(signum=2)
[INFO] [component_container_mt-1]: process has finished cleanly [pid 221450]
The text was updated successfully, but these errors were encountered:
This package will build within the
isaac_ros_common
container on a freshly flashed Xavier NX with all Deepstream and libraries installed through the SDK manager, but will not run due to alibcupva
linking issue. This is likely related to this discussion and this issue. NVIDIA should work to isolate docker images / containers from the host platform as much as possible.Error on run:
The text was updated successfully, but these errors were encountered: