Open Source Face Recognition SDK

The world's first completely free and open-source face recognition SDK for Windows and Linux from Faceplugin

The Open Source Face Recognition SDK by Faceplugin is a powerful, privacy-focused solution for integrating face recognition capabilities into your applications. Built with deep learning models, this SDK provides high-accuracy face detection and recognition while ensuring complete data privacy through on-premise processing.

• 🔒 100% On-Premise: All processing happens locally - no data leaves your device
• 🎯 High Accuracy: Powered by state-of-the-art deep learning models
• ⚡ Real-Time Processing: Fast face detection and recognition capabilities
• 🔧 Easy Integration: Simple Python APIs for seamless development
• 🌐 Cross-Platform: Compatible with Windows and Linux systems
• 📱 GPU Optional: Works efficiently on CPU-only systems
• 🆓 Completely Free: Open source with no licensing fees

• Face detection and bounding box extraction
• Facial landmark detection
• Feature embedding generation
• Face similarity comparison
• Support for multiple image formats (JPG, PNG, etc.)

• Python 3.9 or higher
• Anaconda (recommended for dependency management)
• Windows or Linux operating system

1. Install Anaconda (if not already installed)

   # Download from: https://www.anaconda.com/products/distribution

2. Create and activate conda environment

   conda create -n facesdk python=3.9
   conda activate facesdk

3. Install dependencies

   pip install -r requirements.txt

4. Test the installation

   python run.py

from face_recognition_sdk import FaceRecognition

# Initialize the SDK
face_sdk = FaceRecognition()

# Process an image
image_path = "path/to/your/image.jpg"
face_info = face_sdk.GetImageInfo(image_path, faceMaxCount=10)

# Compare two faces
similarity = face_sdk.get_similarity(feature1, feature2)

# Compare two images
image1