I’m using Jetson Orin AGX. [ jetpack 6.2 ( l4t 36.4.3 )]
And I’m using dustynv/zed:r35.4.1 docker container.
dustynv/zed:r35.4.1
I was trying to using zed camera. But I don’t no how to solve this.
Could you help me?
root@ubuntu:~/Downloads/docker# sudo dpkg -i stereolabs-zedlink-duo_1.3.0-LI-MAX96712-ALL-L4T35.4.1_arm64.deb
dpkg: regarding stereolabs-zedlink-duo_1.3.0-LI-MAX96712-ALL-L4T35.4.1_arm64.deb containing stereolabs-zedlink-duo, pre-dependency problem:
stereolabs-zedlink-duo pre-depends on nvidia-l4t-core (>> 35.4-0)
nvidia-l4t-core is not installed.
dpkg: error processing archive stereolabs-zedlink-duo_1.3.0-LI-MAX96712-ALL-L4T35.4.1_arm64.deb (–install):
pre-dependency problem - not installing stereolabs-zedlink-duo
Errors were encountered while processing:
stereolabs-zedlink-duo_1.3.0-LI-MAX96712-ALL-L4T35.4.1_arm64.deb
I’m don’t know how to use jetson-containers run to use
nvcr.io/nvidia/l4t-jetpack:r36.4.0 as the base image and to then build zed.
This would possibly work for you.
docker pull stereolabs/zed:4.2-tools-devel-l4t-r36.4
docker run --runtime nvidia -it --network=host --privileged stereolabs/zed:4.2-tools-devel-l4t-r36.4
The –priviledged is important to get the camera into the container.
Hi,
nvidia-l4t-core package can be found in the below link:
Could you share more info about your use case?
It looks like you try to run a r35 container on the r36 environment.
Due to the driver’s dependencies, you will need to use an r36-based image on the JetPack 6.2 setup.
Thansk.
Oh, your right.
I was trying to run an r35.4.1 L4T-based Docker container on an r36.4.3 (JetPack 6.2) host system because I need to use both ROS 1 (Noetic) and ROS 2 (Humble).
To make it work, I attempted to manually install nvidia-l4t-core_35.4.1 by downloading the .deb file based on the official L4T sources you provided.
However, I encountered the following error during installation:
root@ubuntu:~/Downloads/docker# sudo dpkg -i nvidia-l4t-core_35.4.1-20230801124926_arm64.deb
Selecting previously unselected package nvidia-l4t-core.
(Reading database … 49522 files and directories currently installed.)
Preparing to unpack nvidia-l4t-core_35.4.1-20230801124926_arm64.deb …
/var/lib/dpkg/tmp.ci/preinst: line 59: /proc/device-tree/compatible: No such file or directory
dpkg: error processing archive nvidia-l4t-core_35.4.1-20230801124926_arm64.deb (–install):
new nvidia-l4t-core package pre-installation script subprocess returned error exit status 1
Errors were encountered while processing:
nvidia-l4t-core_35.4.1-20230801124926_arm64.deb
Or do you have any alternative solutions?
Hi,
As there are some drivers mounted into the container from the Jetson host.
You will need to set up the environment with JetPack 5 for the container.
The driver list can be found in the below link:
/etc/nvidia-container-runtime/host-files-for-container.d/drivers.csv
Thanks.
Here’s a Dockerfile Dockerfile ros/noetic ros2/humble l4t-jetpack r36-4-0 to run ros and ros2 on one container that runs on AGX Orin 32gb.
It includes functional ros1_bridge but you could edit that out if not needed.