deepface

DeepFace is a hybrid face recognition and facial attribute analysis framework for Python. It provides a unified interface to several state-of-the-art models, including VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace, GhostFaceNet, and Buffalo_L. Key capabilities include: - Face Verification: Determining if two images belong to the same person. - Face Recognition: Searching for an identity within a database (supporting directory-based storage or vector databases like PostgreSQL, MongoDB, Pinecone, Milvus, Qdrant, and Weaviate). - Facial Attribute Analysis: Predicting age, gender, emotion (angry, fear, neutral, sad, disgust, happy, surprise), and race. - Real-Time Analysis: Streaming capabilities for webcam input to perform recognition and analysis. - Face Detection and Alignment: Integration with various backends such as OpenCV, SSD, Dlib, MtCnn, RetinaFace, MediaPipe, YOLO, YuNet, and CenterFace. - Face Anti-Spoofing: Analysis to determine if a face image is real or a fake/spoof. - Embeddings: Generating multi-dimensional vector representations of faces. The framework also includes a REST API for external integration and supports multiple distance metrics for similarity calculation, such as Cosine, Euclidean, and Angular distance.