Face Recognition Login in Go

This is a face recognition login package using Go and OpenCV (gocv).

🚀 Features

• Face detection using Haar cascades
• Face recognition using OpenCV's FaceRecognizer
• Model training and updating
• Easy API for face registration and recognition

📦 Installation

go get -u github.com/mahmoud-italy/face-recognition-login

🏗️ Setup

Install pkg-config and OpenCV
Depending on your OS using the appropriate command:

Ubuntu/Debian

sudo apt update
sudo apt install -y pkg-config
sudo apt install -y libopencv-dev

Mac (Homebrew)

brew install pkg-config
brew install opencv

Windows (Using MSYS2) If you're on Windows, install MSYS2 and then run

pacman -S mingw-w64-x86_64-pkg-config

Download and install OpenCV from the official website: https://opencv.org/releases Set the OpenCV_DIR environment variable to the installation path.

Verify Installation Run the following command to check if pkg-config is properly installed:

pkg-config --version

If it prints a version number, pkg-config is working. Also, check if OpenCV is found by running:

pkg-config --modversion opencv4

If it returns an OpenCV version number (e.g., 4.5.2), everything is good.

🔧 Example Usage

import (
    "fmt"
	facerecognition "github.com/mahmoud-italy/face-recognition-login"
)

func main() {
    faceRec, _ := facerecognition.NewFaceRecognizer("assets/haarcascade_frontalface_default.xml", "models/face_model.yml")
    faceRec.RegisterFace("data/test_faces/face1.jpg", 1)
    label, confidence, _ := faceRec.RecognizeFace("data/test_faces/face1.jpg")
    fmt.Printf("Recognized label: %d, Confidence: %f\n", label, confidence)
}

🛠️ Running Tests

go test

🔖 License

The MIT License (MIT). Please see License File for more information.

🤝 Contributing

Feel free to contribute by submitting issues or pull requests.