FaceRecognitionProject

Overview

The FaceRecognitionProject is designed to recognize faces using various algorithms and techniques. This project involves data preprocessing, feature extraction, model training, and implementation of face recognition functionalities.

Table of Contents

• Overview
• Features
• Installation
• Usage
• Project Structure
• Contributing
• License

Features

• Face detection and recognition
• Distance calculation between faces
• Model training and evaluation
• Easy-to-use API for face recognition tasks

Installation

1. Clone the repository:

   git clone https://github.com/javad787/FaceRecognitionProject.git
   cd FaceRecognitionProject

2. Install the required packages:

   pip install -r requirements.txt

Usage

1. Prepare the data:

   python face_recognition.py

2. Train the models:

   python main.py

3. Run the recognition script:

   python distances.py

Project Structure

FaceRecognitionProject/
│
├── .gitignore           # Git ignore file
├── README.md            # Project README
├── distances.py         # Script for calculating distances
├── face_recognition.py  # Face recognition functionalities
├── main.py              # Main training and evaluation script
├── requirements.txt     # Python dependencies

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your changes. Ensure that your code adheres to the project's coding standards.

License

This project is licensed under the MIT License. See the LICENSE file for more details.