Hi all,
This is my first post, so please be patient, I’m still fragile* :-)
*Kindly excuse any silly and/or unclear questions.
I have a Jetson Nano 4GB Model B01 (the one with two CSI camera ports, but not the Rev.3)
After some troubles with initial set-up I was able to get it running and competed NVIDIA AI Developer course basics.
Now I’m looking for a docker container to start developing for my Robot I’m building. Being new to docker and the entire Jetson Nano environment I’m unsure which one to select.
I have been so far developing in ROS2 - Humble on a different Ubuntu 22.04 PC.
running:
head -n 1 /etc/nv_tegra_release
R32 (release), REVISION: 7.1, GCID: 29818004, BOARD: t210ref, EABI: aarch64, DATE: Sat Feb 19 17:05:08 UTC 2022
returns the above on my Jetson nano.
Am I correct in assuming I can ROS2 Humble (desktop) R35.1.0 dustynv/ros:humble-desktop-l4t-r35.1.0
as a pre-compiled image? I rather do not want to build from source, being a noob and all.
If the above is not the right version, kindly suggest which one to use, or if my jetson nano needs some updating and what / how?
Humble wouldn’t build for Ubuntu 18.04, so there are only container images of that for JetPack 5 and Ubuntu 20.04. Also ros-desktop for Foxy/Galactic/Humble would only build on JetPack 5 and 20.04 as well. @andrew.cra2019 since you are on JetPack 4 / L4T R32.7.1, you would need to use one of the r32.7.1 container tags (the latest of which would be dustynv/ros:galactic-ros-base-l4t-r32.7.1)
I will stick with Galactic then for now. That means I will have to make some modifications to my existing ROS2 codebase, which I had developed on another Ubuntu PC.
Follow-up question (if I may)
Is there any planned support from Jetpack 5.xxx.x in the future to extend support to Jetson Nano? As I can see Jetson Nano is not EOL, but just difficult to manufacture due to chip shortage and other supply chain issues.
Thanks for the reply. Unfortunately there is no download link for the SD-card image of the latest 4.6.3 release.
https://developer.nvidia.com/jetpack-sdk-463#collapseJetsonNano
only points to the one I have installed, which is 4.6.1