.
├── articles
│ ├── Chapter 1 - Introduction to AI
│ ├── Chapter 2 - Configuring the RaspberryPi Environment
│ ├── Chapter 3 - Computer Vision Projects and Practical Applications
│ ├── Chapter 4 - Large Language Model
│ ├── Chapter 5 - Custom Model Development and Deployment
│ └── Chapter 6 - Raspberry Pi and AIoT
├── ContributorGuidelines.md
├── LICENSE
├── models
├── README.md
└── resourcearticles is the main directory of the project, and you can create subfolders named with your project name in Chapter 6: Raspberry Pi and AIoT.
models is the folder you can store your models in .hef format, which can be directly deployed on the AI kit. The folder will be like:/models/Chapter<x>/xxxx.hef.
pictures is the folder you can store your pictures, your pictures can help you showcase your project. The folder will be like:/pictures/Chapter<x>/xxxx_1.png.
resource is the folder you can store your Node-RED work flow. The folder will be like:/resource/Chapterx/xxx.Json.
Open Tutorial-of-AI-Kit-with-Raspberry-Pi-From-Zero-to-Hero and Fork the project. And create a folder in the project's Chapter directory that you would like to contribute.
Clone your forked project from your own repository URL.
$ git clone https://github.com/<YourName>/Tutorial-of-AI-Kit-with-Raspberry-Pi-From-Zero-to-Hero.gitChoose one chapter in articles folder that you want to contribute, and create your project.
You should update your dataset to your Google Drive and then use command line to download it in your project. You can use it in Jupyter Notebook as follows:
%pip install gdown
!gdown https://drive.google.com/uc?id=1AtnoXEk8_2nhEspZ6BMMIoCxE9WYaC1S -O ../resource/
Your code should be Jupyter Notebook format and leave the necessary comments, remember to keep the result of your code. The following code is an example of your code:
Make sure your code works, then you can push your code to your own repository.
git add .
git commit -m "update: <ThePathOfYourProject>"
git pushOpen your forked repository and create a pull request by clicking on the Pull Request button.



