Learn Edge AI by running real examples on your machine. Instead of reading theory, we'll see how model size affects speed, memory, and accuracy.
git clone https://github.com/Arm-Examples/Get-Started-with-Edge-AI.git
cd Get-Started-with-Edge-AICreate and activate a virtual environment:
python -m venv edge-ai-env
source edge-ai-env/bin/activate # On Windows: edge-ai-env\Scripts\activateEach example has its own requirements.txt - install dependencies with pip install -r requirements.txt in each example folder.
Follow the README for each example:
Object Detection - Compare two Ultralytics YOLO models in real-time video processing.
Requirements:
• Laptop or computer
• Camera (built-in webcam or USB camera)
Language Model with TinyLlama - Test a chat model with different quantisation levels.
Requirements:
• Laptop or computer
The examples are being worked on so they can easily be deployed on a Raspberry Pi, stay tuned!

