yakhyo/uniface

Health v2 · maintenance only

Adoption not part of the score

1586 stars · 212 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

UniFace is a unified Python library for face analysis that bundles detection, recognition, landmark localization, face parsing, gaze estimation, attribute prediction, tracking, quality assessment, and anti-spoofing behind a single API. It runs inference on ONNX Runtime with automatic acceleration on CPU, Apple Silicon, and NVIDIA CUDA.

Use cases

• detect and recognize faces in images
• extract face embeddings for identity verification
• estimate age and gender from face photos
• detect face liveness to prevent spoofing attacks
• track faces across video frames with persistent IDs
• estimate gaze direction and head pose
• blur or anonymize faces for privacy
• segment facial components from an image

When to choose

• you need multiple face analysis tasks under one consistent Python API
• you want production-ready ONNX Runtime inference with CPU and GPU support
• you need face recognition, landmarks, parsing, and anti-spoofing without gluing together several repos

When to avoid

• you need to train face models from scratch rather than run inference
• you need non-face general object detection or segmentation
• you require a framework other than Python

Facets

library · maturity active

computer-vision machine-learning image-processing sdk computer-vision deep-learning artificial-intelligence image-processing python cross-platform windows face-detection face-recognition facial-landmarks face-parsing gaze-estimation anti-spoofing face-tracking onnxruntime face-attributes portrait-matting head-pose-estimation face-anonymization macos linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="yakhyo/uniface")