🐳 Jetson Nano Ubuntu 20.04 Docker Images 🐳

What is this?

Hardware accelerated OpenCV, Deepstream, Torch & Tensorrt Ubuntu 20.04 docker images for Jetson Nano containing any python version you need up until the latest 3.12

Pulling existing images

Python Version	Dockerhub Image Name	Size
Python3.12	jayfalls/l4t-20.04:full-cp312	Unkwnown
Python3.12	jayfalls/l4t-20.04:base-cp312	Unkwnown
Python3.11	jayfalls/l4t-20.04:full-cp311	3.28GB
Python3.11	jayfalls/l4t-20.04:base-cp311	1.09GB
Python3.10	jayfalls/l4t-20.04:full-cp310	Unkwnown
Python3.10	jayfalls/l4t-20.04:base-cp310	Unkwnown

note: Make sure to run the container on the latest L4T host system (r32.7.1). Running on older JetPack releases (e.g. r32.6.1) can cause driver issues, since L4T drivers are passed into the container

If an image with your desired python version doesn't exist in the docker hub, or you are running an older jetpack release, then you'll need to build it manually

Building Ubuntu 20.04 Images with Custom Python Versions

Contributing

You can contribute in the following ways

• Create an issue
• Open a Pull request
• Are there python versions I haven't exported to? Open an issue to let me know!

note: I do not have a lot of free time, so I'm not sure if I'll support this fully, as such don't expect too much from me please. The license is MIT, so you can continue it on your own repo if I don't support.

note: If you see the error ImportError: "/path": cannot allocate memory in static TLS block, you can run export LD_PRELOAD="/path":${LD_PRELOAD} before running your script, then please submit it as an issue so I can put the fix into the build process

References

• Jetson Nano Ubuntu20.04
• Building OpenCV
• Building Pytorch
• Building Tensorrt
• Jetson Nano Ubuntu20.04 Docker Images
• GStreamer on Jetson Nano