Learn to implement real-time object detection on NVIDIA Jetson Nano using Python in this 26-minute tutorial. Set up the Jetson Nano, explore pre-trained DNN models like SSD-Mobilenet and SSD-Inception, and create a custom object detection program using a live camera feed. Discover how to detect various objects from the 90-class MS COCO dataset, install necessary components, and utilize the Jetson API for enhanced functionality. Gain hands-on experience with coding, API documentation, and working with example cameras to create an efficient object detection system.
Overview
Syllabus
Introduction
Getting Started
HelloAIWorld
Pretrained Networks
Installation
Install
Results
Coding
Code
API Documentation
Example Cameras
Jetson API Documentation
Display Window
Detect Function
Demo
Taught by
NVIDIA Developer
Tags
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