{"repo":"Faceplugin-ltd/Open-Source-Face-Recognition-SDK","free":true,"listed":false,"github":"https://github.com/Faceplugin-ltd/Open-Source-Face-Recognition-SDK","clone":"git clone https://github.com/Faceplugin-ltd/Open-Source-Face-Recognition-SDK.git","description":"The world's 1st open source face recognition SDK for Windows and Linux (Face detection, Face landmark extraction, Face feature extraction, Face template mathcing)","language":"Python","stars":1862,"topics":["deep-learning","face-detection","face-landmark-detection","face-recognition","identity-verification","machine-learning","open-source","python"],"license":null,"category":"machine-learning","readme_excerpt":"# Open Source Face Recognition SDK The world's first completely free and open-source face recognition SDK for Windows and Linux from Faceplugin --- 🚀 Overview 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. ✨ Key Features - 🔒 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 🎯 Current Capabilities - Face detection and bounding box extraction - Facial landmark detection - Feature embedding generation - Face similarity comparison - Support for multiple image formats (JPG, PNG, etc.) --- 🛠️ Installation Prerequisites - Python 3.9 or higher - Anaconda (recommended for dependency management) - Windows or Linux operating system Setup Instructions 1. Install Anaconda (if not already installed) 2. Create and activate conda environment 3. Install dependencies 4. Test the installation --- 📖 Quic","default_branch":null,"files":null,"tree":[],"storefront":"/r/Faceplugin-ltd","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Faceplugin-ltd/Open-Source-Face-Recognition-SDK/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}