Hi @jvitordm, as you have found the “Getting Started with AI on Jetson Nano” DLI course only has containers released for JetPack 4 and Jetson Nano. What I would recommend is proceeding with the Hello AI World portion of the course, which has containers available for JetPack 5 and runs natively on AGX Orin. The emulation package for AGX Orin is for emulating other Orin devices (like Orin NX and Orin Nano), not the original Jetson Nano.
If you really wanted to, in theory you could download the Jupyter notebooks from that DLI course from a mirror on GitHub (like here) and either install Jupyter on your Orin, or run them in the l4t-ml container (which comes with JupyterLab pre-installed). Running that DLI course like this is untested/unsupported however and you would likely need to install some additional pip3 packages into the container (like jetcam IIRC) to get the notebooks to run.
Either way, good luck and wish you all the best getting started with your devkit!
Hi @jvitordm, you could write your own script that uses cv2.VideoCapture() with your pipeline, and then use jetson.utils.cudaFromNumpy() to convert the image to CUDA, and then you can process it with imageNet/detectNet class the same way: