Real-Time Object Detection in 10 Lines of Python on Jetson Nano

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 the first episode Dustin Franklin, Developer Evangelist on the Jetson team at NVIDIA, shows you how to perform real-time object detection on the Jetson Nano.

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

Watch tutorial now > >

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