This week in shop, I worked with the Nvidia Jetson-Nano and the Nvidia inference to run some demo computer vision object classifiers. I followed the HelloAiWorld guide to create a basic object classifier as well as training a model to distinguish cats and dogs. The Nvidia inference allows me to write my code in python with minimal impact on performance while also using libraries that I am familiar with. Next week I will learn more about pytorch, numpy, and opencv to help me have a better understanding of computer vision and neural networks.
