# cmusatyalab/openface

Face recognition with deep neural networks.

Repository: https://github.com/cmusatyalab/openface
Canonical: https://ross.abutalabs.com/products/openface
Homepage: http://cmusatyalab.github.io/openface/
Language: Lua
License: Apache-2.0
License Family: permissive
Topics: deep-learning, face-recognition, facenet
Last push: 2026-07-18T15:27:00+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 93, release rhythm 8, longevity 100
- inputs: {"age_days": 4004, "days_push": 46, "days_rel": 698, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 15438, forks 3558 (observed 2026-08-28T04:11:09.820662+00:00)

## What it is
OpenFace is a free and open source Python and Torch implementation of face recognition based on Google's FaceNet deep neural network. It generates face embeddings from images and supports training classifiers, real-time webcam demos, and LFW accuracy evaluation.

## Use cases
- recognize faces in images with deep neural networks
- generate face embeddings from a batch of photos
- train a face classifier to identify people
- run real-time face recognition on a webcam stream
- compare two face images for similarity
- evaluate face recognition accuracy on LFW

## When to choose
- you need an open source FaceNet-style face recognition pipeline
- you want to train a custom face identification classifier from your own images
- you need CPU or CUDA inference for face embeddings

## When to avoid
- you need actively maintained state-of-the-art face recognition models
- you want a pure modern PyTorch or TensorFlow implementation without legacy Torch dependencies
- your project requires commercial licensing guarantees

## Facets
- artifact type: library
- maturity: maintenance
- function: deep-learning, computer-vision, image-processing, machine-learning
- domain: computer-vision, image-processing, deep-learning, artificial-intelligence
- platform: python
- tags: face-recognition, facenet, face-embeddings, torch, lua, lfw, linux, macos, gpu

## Member repositories
- cmusatyalab/openface (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:09.820662+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:05:53.374468+00:00, confidence not recorded.
  - readme: https://github.com/cmusatyalab/openface (fetched 2026-08-28T04:11:09.820662+00:00, sha b1e8e73cd23d)
  - homepage: http://cmusatyalab.github.io/openface/ (fetched 2026-08-29T08:04:00.150630+00:00, sha 5fdf4bbba54c)
- Data as of 2026-08-30T08:39:29.467469+00:00.