Comments (4)
Hi, Jetson Inference has a suitable container for 4.6.1 as well. check here.
Just add the
container tag
while running the docker container. Hope it helps.
Thanks. I checked there but L4T R32.7.1 based on JetPack 4.6.1 has Ubuntu 18 and python3.6.
it takes time to change the python3 version and build ros2 compatible with python3.8+.
at the end I have found this repository in DockerHub , it may help others .
I have used image: timongentzsch/l4t-ubuntu20-ros2-desktop
it has ubuntu20, python 3.8, ros foxy and also supports GPU by CUDA10.2.
after all, I did, I couldn't build jetson-inference in the container but at least, that image supports the rest of the things
from jetson-inference.
I think you can use this container mentioned here, by running this-
docker/run.sh -c dustynv/ros:humble-pytorch-l4t-r35.3.1
from jetson-inference.
I think you can use this container mentioned here, by running this-
docker/run.sh -c dustynv/ros:humble-pytorch-l4t-r35.3.1
thanks for your reply.
it's just one thing I thought you might know.
The Jetpack 4.6.1 comes with CUDA 10.2
if the version of CUDA of that image differed from 10.2 , would it be a problem? or not
from jetson-inference.
Hi, Jetson Inference has suitable container for 4.6.1 as well. check here.
Just add the container tag
while running the docker container. Hope it helps.
from jetson-inference.
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