Raspberry Pi Image Classification Setup | OpenCV, Python & Virtual Environments
In this video, we set up a complete image classification and computer vision environment on Raspberry Pi from scratch.
You’ll learn how to:
Update and prepare your Raspberry Pi OS
Install required system-level camera and computer vision libraries
Create and activate a Python virtual environment
Install essential image processing and computer vision packages like OpenCV, NumPy, and Pillow
This setup is ideal for image classification, edge AI, camera-based projects, and computer vision experiments on Raspberry Pi.
sudo apt update
sudo apt upgrade -y
sudo reboot
sys level lib
sudo apt install -y python3-pip python3-venv python3-picamera2
sudo apt install -y libcamera-dev libcamera-tools libcamera-apps
virtual ent/
python3 -m venv ~/virtual_name --system-site-packages
Activate: source ~/virtual_name/bin/activate
pip install numpy pillow
pip install matplotlib
pip install opencv-python
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