To help you get up-and-running with deep learning and inference on NVIDIA’s Jetson platform, today we are releasing a new video series named Hello AI World to help you get started.
In this hands-on tutorial, you’ll learn how to:
- Setup your NVIDIA Jetson Nano and coding environment by installing prerequisite libraries and downloading DNN models such as SSD-Mobilenet and SSD-Inception, pre-trained on the 90-class MS-COCO dataset
- Run several object detection examples with NVIDIA TensorRT
- Code your own real-time object detection program in Python from a live camera feed.
You can then use this 10-line Python program for object detection in different settings using other pre-trained DNN models. The code for this and other Hello AI world tutorials is available on GitHub.