PunimTag

Photo Management and Facial Recognition System

A powerful desktop application for organizing and tagging photos using advanced facial recognition AI.

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🎯 Features

• Automated Face Detection: Detect faces in your photos automatically
• Person Identification: Identify and tag people across your photo collection
• Smart Auto-Matching: Intelligent face matching with quality scoring
• Advanced Search: Search by people, dates, tags, and folders
• Tag Management: Organize photos with hierarchical tags
• Batch Processing: Process thousands of photos efficiently
• Privacy-First: All data stored locally by default

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🚀 Quick Start

Prerequisites

• Python 3.12 or higher
• pip package manager
• Virtual environment (recommended)

Installation

# Clone the repository
git clone <repository-url>
cd punimtag

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

Running the Application

GUI Dashboard (Recommended)

python src/gui/dashboard_gui.py

CLI Interface

python src/photo_tagger.py --help

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📖 Documentation

• Architecture: System design and technical details
• Demo Guide: Step-by-step tutorial
• Dashboard Guide: GUI reference
• Contributing: How to contribute

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🏗️ Project Structure

punimtag/
├── src/                    # Source code
│   ├── core/              # Business logic
│   ├── gui/               # GUI components
│   └── utils/             # Utilities
├── tests/                 # Test suite
├── docs/                  # Documentation
├── .notes/                # Project notes
└── data/                  # Application data

See Directory Structure for details.

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🎮 Usage

1. Import Photos

# Add photos from a folder
python src/photo_tagger.py scan /path/to/photos

2. Process Faces

Open the dashboard and click "Process Photos" to detect faces.

3. Identify People

Use the "Identify" panel to tag faces with names.

4. Search

Use the "Search" panel to find photos by people, dates, or tags.

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🔧 Configuration

Edit src/core/config.py to customize:

• Face detection model (HOG/CNN)
• Similarity tolerance
• Batch sizes
• Quality thresholds

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🧪 Testing

# Run all tests
python -m pytest tests/

# Run specific test
python tests/test_deepface_gui.py

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🗺️ Roadmap

Current (v1.0)

• ✅ Unified dashboard interface
• ✅ Face detection and identification
• ✅ Tag management system
• ✅ Advanced search

Next (v1.1)

• 🔄 DeepFace migration (in progress)
• 🔄 Enhanced accuracy with ArcFace
• 📋 GPU acceleration
• 📋 Performance optimization

Future

• Web interface
• Cloud storage integration
• Mobile app
• Video face detection
• Face clustering

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🤝 Contributing

We welcome contributions! Please read CONTRIBUTING.md for guidelines.

Quick Contribution Guide

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

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📊 Current Status

• Version: 1.0 (Development)
• Face Recognition: face_recognition library
• Database: SQLite
• GUI: Tkinter
• Platform: Cross-platform (Linux, Windows, macOS)

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🐛 Known Issues

• Large databases (>50K photos) may experience slowdown
• Face recognition accuracy depends on photo quality
• No GPU acceleration yet

See Task List for all tracked issues.

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📝 License

[Add your license here]

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👥 Authors

PunimTag Development Team

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🙏 Acknowledgments

• face_recognition library by Adam Geitgey
• DeepFace library by serengil
• All contributors and users

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📧 Contact

[Add contact information]

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⭐ Star History

If you find this project useful, please consider giving it a star!

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Made with ❤️ for photo enthusiasts