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Note

If you are using the pre-installed “Raspberry Pi OS with AI Fusion Lab Kit” image, you can skip this section. This image already includes all the software installations, environment configurations, and example code deployments described in this chapter.

0. Setup YOLO Environment

This chapter shows you how to install Yolo on the Raspberry Pi and verify that it works correctly.

  1. To use camera module conveniently, Assemble the Pan-tilt (For Camera) is recommended.

    Note

    Assembling the pan-tilt may obscure some pins, so it is recommended to assemble it only when using the camera, or place it on the outside after assembly.

    ../_images/gimbal_assemble.png

  2. Access the Raspberry Pi Desktop:

  1. Install required dependencies:

    sudo apt update
sudo apt upgrade -y
sudo apt install python3-pip python3-opencv python3-numpy python3-picamera2 -y

  2. Install Ultralytics (the official YOLO library):

    # Install CPU version of PyTorch (specify CPU source)
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cpu --break-system-packages

# Install ultralytics, but skip torch dependencies
pip3 install ultralytics --no-deps --break-system-packages

# Manually install ultralytics' other dependencies
pip3 install pyyaml requests psutil polars tqdm matplotlib seaborn --break-system-packages