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 with support for ultralytics yolo using torch or tensorrt

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

• base: This is just the plain ubuntu20.04 image with higher python versions, no additional packages like opencv, etc
• full: This is the image with all the packages installed, including gpu accelerated opencv, pytorch, tensorrt and deepstream

Building Ubuntu 20.04 Images with Custom Python Versions

This link contains all the individual packages for the python versions that get compiled during the build process. If you want to use a different python version without the docker image, you can download the packages and install them manually.

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

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