Shypd.aiThe largest open index of AI toolsUniFace is an open-source face analysis library in Python that provides high-performance face detection, recognition, and attribute analysis. It supports hardware acceleration across various platforms, including CPU, Apple Silicon, and NVIDIA CUDA.
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UniFace is a lightweight, production-ready, and open-source face analysis library built on ONNX Runtime, offering a comprehensive suite of features for processing facial data. It includes advanced capabilities such as RetinaFace, SCRFD, YOLOv5-Face, and YOLOv8-Face for face detection with 5-point landmarks, and various models like AdaFace, ArcFace, and MobileFace for face recognition embeddings. The library also provides multi-object face tracking with BYTETracker, 106-point facial landmark localization, and semantic face parsing with BiSeNet. Additional features include trimap-free portrait matting, real-time gaze and head pose estimation, and attribute analysis for age, gender, race, and emotion. For privacy, it offers anti-spoofing and face anonymization with multiple blur methods. UniFace supports hardware acceleration on ARM64 (Apple Silicon), CUDA (NVIDIA), and CPU, making it versatile for different deployment environments.
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