After building your JetBot hardware, we go through the process of setting up the software using a container based approach. Using containers allows us to load all of the necessary deep learning libraries without having to worry about dependencies on other software packages. We also test the motors!
00:00:00 - Introduction - Installing software on JetBot
00:00:36 - JetBot Hardware overview
00:01:10 - Set up a swap file
00:02:56 - Installing JetBot software
00:04:00 - Step 1: Running JetBot in Docker Container
00:04:53 - Step 2: Pull from NGC and launch the Container
00:05:29 - Logging into Jupyter Lab
00:08:30 - Preparing Jetson to boot up the JetBot image on startup
00:10:16 - Testing out JetBot commands
00:14:46 - Conclusion
JetBot - https://github.com/NVIDIA-AI-IOT/jetbot
Jetson AI Fundamentals - https://nvidia.com/jetson-ai-fundamentals
NVIDIA Developer Forums - https://forums.developer.nvidia.com
