face recognition
OpenFace is a free and open-source library for face recognition using deep neural networks, providing face detection, alignment, and representation generation.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Python face-recognition library with multiple backends and attribute analysis; choose it when you need an actively maintained API in a Python project rather than Torch code.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
PyTorch pretrained MTCNN/InceptionResNet models; choose it when you want recognition inside a PyTorch application without the Torch ecosystem.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
JavaScript library covering recognition plus pose/gaze/attributes; choose it when your code must run in a browser or Node.js environment.
Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition
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, Face Liveness Detection, Face Anti-Spoofing, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expression, Face Attributes, Face Templates Extraction, Face Landmarks
Python unified face-analysis API; choose it when you need recognition along with landmark, gaze, parsing or anti-spoofing under one dependency.
UniFace: A Unified Face Analysis Library for Python | Detection, alignment, landmarks, face-mesh, recognition, parsing, gaze, attributes and anti-spoofing under one API.
TensorFlow implementation of the original FaceNet; choose it if you specifically need that TF training/reference code and accept that it is unmaintained.
Face recognition using Tensorflow
PyTorch training baseline for face recognition/retrieval; choose it when you are building/training models rather than using an off-the-shelf recognition API.
A powerful baseline for image classification, face recognition and image retrieval with Pytorch
Go binding to dlib-based face recognition; choose it when you need face recognition from a Go backend.
:mag: Face recognition with Go
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Historical Caffe DeepFace code; choose it only for reproducing that old research implementation, not for current use.
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
Old Caffe LightCNN face-verification implementation; choose it only if you need that exact legacy model/code.
Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
RESTful AI server for edge deployment; choose it when face recognition should be a separate self-hosted service rather than an in-process library.
The World's Leading Cross Platform AI Engine for Edge Devices
These projects were analysed and named openface among their alternatives. The relationship is not symmetric — how openface rates them is a separate judgement, made when openface is analysed in its own right.
calls openface “Choose when you need the OpenFace Torch/Lua deep-net pipeline and are okay with a heavier, non-pip setup.”
The world's simplest facial recognition api for Python and the command line
calls openface “choose when you want an Apache-2.0 Torch/Python face-recognition stack with dlib integration instead of TensorFlow.”
Face recognition using Tensorflow
calls openface “when you want the classic OpenFace model in a Lua/Torch environment and don't need attributes.”
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
calls openface “Classic Lua/Torch face recognition pipeline; choose it only if you are tied to that legacy framework and don't need a modern service.”
Leading free and open-source face recognition system