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These projects were analysed and named Open-Source-Face-Recognition-SDK among their alternatives. The relationship is not symmetric — how Open-Source-Face-Recognition-SDK rates them is a separate judgement, made when Open-Source-Face-Recognition-SDK is analysed in its own right.
calls Open-Source-Face-Recognition-SDK “when you need face anti-spoofing and liveness alongside recognition and attributes, which deepface does not offer.”
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
calls Open-Source-Face-Recognition-SDK “Choose when you need a single SDK with liveness/anti-spoofing and face comparison, but verify its nonstandard licensing.”
The world's simplest facial recognition api for Python and the command line
calls Open-Source-Face-Recognition-SDK “Face-recognition SDK that also bundles liveness and anti-spoofing; choose it when these security checks are required, but note there is no explicit license.”
Face recognition with deep neural networks.
calls Open-Source-Face-Recognition-SDK “choose if you need an SDK-style package with liveness/anti-spoofing in addition to basic face recognition.”
Face recognition using Tensorflow
calls Open-Source-Face-Recognition-SDK “Choose it when you need a bundled face SDK with liveness/anti-spoofing and templates and want to integrate at code level rather than through an HTTP API.”
Leading free and open-source face recognition system
calls Open-Source-Face-Recognition-SDK “full SDK with landmarks, liveness, and recognition; pick when you need those additional features.”
:fire: 2D and 3D Face alignment library build using pytorch