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These projects were analysed and named uniface among their alternatives. The relationship is not symmetric — how uniface rates them is a separate judgement, made when uniface is analysed in its own right.
calls uniface “Choose for an actively maintained lightweight Python API that unifies face recognition with detection, parsing, gaze, and anti-spoofing.”
The world's simplest facial recognition api for Python and the command line
calls uniface “when you want a unified Python API that also covers face parsing, gaze, and anti-spoofing beyond deepface's feature set.”
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
calls uniface “Python unified face-analysis API; choose it when you need recognition along with landmark, gaze, parsing or anti-spoofing under one dependency.”
Face recognition with deep neural networks.
calls uniface “choose if you want face parsing/gaze/attributes combined with recognition in one PyTorch API.”
Face recognition using Tensorflow
calls uniface “Choose it when you want a single Python API covering many face tasks (including recognition and parsing) without running a server.”
Leading free and open-source face recognition system
calls uniface “unified face analysis library with landmark/face-mesh; pick when you want a single API for many face tasks.”
:fire: 2D and 3D Face alignment library build using pytorch
calls uniface “Choose if you want a single API for many face tasks including face mesh, but it's a high-level wrapper, not a standalone 3D alignment model.”
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.