Unable to find image 'dustynv/jetson-inference:r36.4.3' locally

[AaronSif]

I am running Jetpack 6.2. Following the directions in the guide, when I enter docker /run.sh I get the following response rather than the prompt asking what model I want to use. Any advise is appreciated.

ARCH: aarch64
reading L4T version from /etc/nv_tegra_release
L4T BSP Version: L4T R36.4.3
[sudo] password for nano1:
localuser:root being added to access control list
CONTAINER_IMAGE: dustynv/jetson-inference:r36.4.3
DATA_VOLUME: --volume /home/nano1/jetson-inference/data:/jetson-inference/data --volume /home/nano1/jetson-inference/python/training/classification/data:/jetson-inference/python/training/classification/data --volume /home/nano1/jetson-inference/python/training/classification/models:/jetson-inference/python/training/classification/models --volume /home/nano1/jetson-inference/python/training/detection/ssd/data:/jetson-inference/python/training/detection/ssd/data --volume /home/nano1/jetson-inference/python/training/detection/ssd/models:/jetson-inference/python/training/detection/ssd/models --volume /home/nano1/jetson-inference/python/www/recognizer/data:/jetson-inference/python/www/recognizer/data
V4L2_DEVICES: --device /dev/video0
DISPLAY_DEVICE: -e DISPLAY=:1 -v /tmp/.X11-unix/:/tmp/.X11-unix
Unable to find image 'dustynv/jetson-inference:r36.4.3' locally
docker: Error response from daemon: manifest for dustynv/jetson-inference:r36.4.3 not found: manifest unknown: manifest unknown.
See 'docker run --help'.

[AaronSif]

I believe my issues are due to an updated docker for 36.4.3 not having been uploaded to the tutorial yet. I was not aware that 36.4.3 was just uploaded Jan 15th, so maybe I am being impatient and will need to wait. I have only had my Orin Nano for a couple weeks and it has been a little frustrating since I am using the latest version of everything and none of the tutorials I have found have been updated yet.

[mapelli0]

Upvote, got the same issue

[m986883511]

same error

[mapelli0]

No updates on this issue? does anyone knows of some other examples that might be working then?