open_faces

This project demonstrates real-time face detection using the OpenCV library in Rust. It captures video from a webcam, detects faces in each frame, and draws rectangles around the detected faces.

Features

• Real-time face detection from webcam feed.
• Cross-platform compatibility (works on Windows, macOS, and Linux).
• Minimal setup required.

Requirements

• Rust programming language installed (Rust Website)
• OpenCV library for Rust
• Webcam

Installation

git clone https://github.com/Telmo-Sousa/open_faces.git

cd open_faces

cargo run

FQA

• "Why are there 2 .XML files"
  • These files contain pre-trained data for the Haar Cascade classifier, specifically for frontal face detection. In OpenCV, Haar Cascade classifiers are a popular method for object detection in images.

License

This project is licensed under the Apache License 2.0. See the LICENSE file for details.