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UniFace: A Unified Face Analysis Library for Python

UniFace is a lightweight, production-ready Python library for face detection, recognition,
tracking, landmark analysis, face parsing, gaze estimation, and face attributes.

pip install "uniface[cpu]"          # CPU and Apple Silicon
pip install "uniface[gpu]"          # NVIDIA CUDA
pip install --pre "uniface[cpu]"    # latest pre-release

import cv2
from uniface import FaceAnalyzer, FairFace

analyzer = FaceAnalyzer(predictors=[FairFace()])

for face in analyzer.analyze(cv2.imread("photo.jpg")):
    print(face.bbox, face.sex, face.age_group, face.embedding.shape)

Find and measure faces

Face Detection  ·  docs

Facial Landmarks  ·  docs

Face Mesh  ·  docs

Face Quality  ·  docs

Cut faces out

Face Parsing  ·  docs

Face Segmentation  ·  docs

Portrait Matting  ·  docs

Read where a head is pointing

Head Pose  ·  docs

Gaze Estimation  ·  docs

Read a face

Age and Sex  ·  docs

Emotion  ·  docs

Face States  ·  docs

Tell a real face from a replay

Anti-Spoofing  ·  docs

Match a face, or hide one

Face Recognition  ·  docs

Face Anonymization  ·  docs