Welcome to Jetson AGX Orin repository
当製品の日本語版マニュアル資料は、こちらからご取得ください。
01.Learning Route
Learning Path
Learning PathChapter IntroductionChapter 1 Quick StartChapter 2 Jetson basic courseChapter 3 Basic UseChapter 4 GPIO ControlChapter 5 OpenCV BasicsChapter 6 Vision BasicsChapter 7 Advanced VisualizationChapter 8 Docker BasicsChapter 9 ROS2-HumbleChapter 10 Offline AI Large Model DevelopmentChapter 11 Online AI Large Model DevelopmentChapter 12 Generative AI Applications
The optional SSD includes a factory system image, eliminating the need for users to re-flash the system or set up the environment according to the tutorial.
When users start our system, they only need to run the case startup command to see the effect. The installation environment may destroy the original environment.
Chapter Introduction
Users can read the relevant tutorials according to their needs.
Chapter 1 Quick Start
This chapter mainly introduces the motherboard learning path and the factory system image environment information.
Chapter 2 Jetson basic course
This chapter mainly introduces the motherboard parameters, system flashing, and hard drive expansion.
Note:
- Flashing the Jetson clean system and component environment is not required for beginners (the optional SSD includes a factory system image). This tutorial is suitable for developers with specific needs!
- Considering the time required for image backup and flashing, the factory image is usually compressed in size. After successfully booting the system, the first thing users should do is expand the SSD.
Chapter 3 Basic Use
This chapter primarily introduces the basic operations and essential system tools of the Ubuntu 22.04 system.
Chapter 4 GPIO Control
This chapter primarily introduces the GPIO pin control, serial port, and I2C communication of the Jetson AGX Orin series motherboards.
Chapter 5 OpenCV Basics
This chapter primarily introduces simple examples of common image processing using OpenCV.
Chapter 6 Vision Basics
This chapter primarily introduces the simple use of a USB camera. Users can verify the camera's functionality using the tutorial examples.
Chapter 7 Advanced Visualization
This chapter primarily introduces the basic environment required for advanced vision-based applications and examples of advanced vision-based applications (DeepStream, YOLO11, Mediapipe, Content Recognition).
Chapter 8 Docker Basics
This chapter primarily introduces the basic usage commands and methods of Docker, as well as how to write scripts to start Docker.
Chapter 9 ROS2-Humble
This chapter primarily introduces the basics of ROS2 and examples of vision-based applications.
Chapter 10 Offline AI Large Model Development
This chapter primarily introduces the offline development of large-scale AI models, using environments including Ollama, Open WebUI, and popular text-based dialogue and image recognition models.
Chapter 11 Online AI Large Model Development
This chapter primarily introduces the online development of large-scale AI models, including models from iFlytek Spark, Tongyi Qianwen, Baidu Qianfan, and OpenRouter.
Chapter 12 Generative AI Applications
This chapter mainly provides applications for specific scenarios such as voice and vision, such as children's story time programs for telling stories to children and cooking assistants that generate recipes.