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NVIDIA Jetson Xavier NX Machine Learning Tutorials

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Overview

This course aims to teach learners how to utilize the NVIDIA Jetson Xavier NX Single Board Computer for machine learning applications. By the end of the course, students will be able to set up the Jetson Xavier NX, work with cameras using OpenCV and Gstreamer, control servos, track objects, implement face recognition, and train the system to recognize individuals. The course employs a hands-on approach with practical lessons and demonstrations. It is suitable for individuals interested in machine learning, computer vision, and robotics, particularly those looking to work with the NVIDIA Jetson Xavier NX platform.

Syllabus

Review of the new NVIDIA Jetson Xavier NX Single Board Computer.
Jetson Xavier NX Lesson 1: Introduction and First Boot for Beginners.
Jetson Xavier NX Lesson 2: Installing Visual Studio Code on NVIDIA Jetpack 4.4.
Jetson Xavier NX Lesson 3: Using a WEB cam or Raspberry Pi camera in OpenCV with Gstreamer.
Jetson Xavier NX Lesson 4: Understanding Gstreamer for Absolute Beginners.
Jetson Xavier NX Lesson 5: Improving Raspberry Pi Camera Image Quality in Gstreamer.
Jetson Xavier NX Lesson 6: Camera Gear and Setup for Future Lessons.
Jetson Xavier NX Lesson 7: Connecting and Controlling Servos with a PCA9685.
Jetson Xavier NX Lesson 8: Controlling Dual Pan/Tilt Raspberry Pi Cameras.
Jetson Xavier NX Lesson 9: Tracking Objects with Two Cameras in OpenCV.
Jetson Xavier NX Lesson 10: Tracking Multiple Objects of Interest with Servos in OpenCV.
Jetson Xavier NX Lesson 11: Independently Tracking Different Objects in Different Cameras.
Jetson Xavier NX Lesson 12: Intelligent Scanning for Objects of Interest.
Jetson Xavier NX Lesson 14: Face Recognition and Identification on NVIDIA Xavier NX.
Jetson Xavier NX Lesson 13: Installing Face Recognition and Identification Libraries.
Jetson Xavier NX Lesson 15: Training the Face Recognition Program to Recognize People.

Taught by

Paul McWhorter

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