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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.