Overview
DeepFace is a Python framework for face recognition and facial attribute analysis. It wraps state-of-the-art models like VGG-Face, FaceNet, OpenFace, DeepID, ArcFace, Dlib, SFace, GhostFaceNet, and Buffalo_L. The pipeline encompasses detect, align, normalize, represent, and verify stages, handled in the background for ease of use. It offers functions for face verification (determining if two images belong to the same person), face recognition (finding a face in a database), and facial attribute analysis (age, gender, emotion, race prediction). DeepFace supports directory-based and database-backed search functionalities with backends like postgres, mongo, neo4j, pgvector, pinecone, and weaviate. Approximate Nearest Neighbor (ANN) search is supported via Faiss for faster large-scale database searches. It can be used for real-time video analysis and offers a React UI for browser-based applications.