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Get Started with Edge AI

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.

Setup

Clone the Repository

git clone https://github.com/Arm-Examples/Get-Started-with-Edge-AI.git
cd Get-Started-with-Edge-AI

Create and activate a virtual environment:

python -m venv edge-ai-env
source edge-ai-env/bin/activate  # On Windows: edge-ai-env\Scripts\activate

Each example has its own requirements.txt - install dependencies with pip install -r requirements.txt in each example folder.

Quick Examples - Get Started in a few Minutes

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)

Object Detection


Language Model with TinyLlama - Test a chat model with different quantisation levels.

Requirements:

• Laptop or computer

Language Model with TinyLlama


🚀 Coming Soon:

The examples are being worked on so they can easily be deployed on a Raspberry Pi, stay tuned!

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Quick start guides to demonstrate edge AI concepts and examples for the arm developer website

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