Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/cmusatyalab/openface
Face recognition with deep neural networks.
https://github.com/cmusatyalab/openface
deep-learning face-recognition facenet
Last synced: 5 days ago
JSON representation
Face recognition with deep neural networks.
- Host: GitHub
- URL: https://github.com/cmusatyalab/openface
- Owner: cmusatyalab
- License: apache-2.0
- Created: 2015-09-16T12:47:27.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2024-10-04T12:59:04.000Z (3 months ago)
- Last Synced: 2024-12-09T16:04:33.069Z (12 days ago)
- Topics: deep-learning, face-recognition, facenet
- Language: Lua
- Homepage: http://cmusatyalab.github.io/openface/
- Size: 23.5 MB
- Stars: 15,161
- Watchers: 756
- Forks: 3,599
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-list - OpenFace - Face recognition with deep neural networks. (Computer Vision / Classification & Detection & Tracking)
- Awesome-GitHub-Repo - openface - OpenFace 作为用于人脸识别的通用库，能够实现瞬态和移动人脸识别。 (实战项目 / 人脸识别项目)
README
# OpenFace • [![Build Status][travis-image]][travis] [![Release][release-image]][releases] [![License][license-image]][license] [![Gitter][gitter-image]][gitter]
*Free and open source face recognition with
deep neural networks.*
[travis-image]: https://travis-ci.org/cmusatyalab/openface.svg?branch=master
[travis]: http://travis-ci.org/cmusatyalab/openface
[release-image]: http://img.shields.io/badge/release-0.2.1-blue.svg?style=flat
[releases]: https://github.com/cmusatyalab/openface/releases
[license-image]: http://img.shields.io/badge/license-Apache--2-blue.svg?style=flat
[license]: LICENSE
[gitter-image]: https://badges.gitter.im/Join%20Chat.svg
[gitter]: https://gitter.im/cmusatyalab/openface
---
+ Website: http://cmusatyalab.github.io/openface/
+ [API Documentation](http://openface-api.readthedocs.org/en/latest/index.html)
+ Join the
[cmu-openface group](https://groups.google.com/forum/#!forum/cmu-openface)
or the
[gitter chat](https://gitter.im/cmusatyalab/openface)
for discussions and installation issues.
+ Development discussions and bugs reports are on the
[issue tracker](https://github.com/cmusatyalab/openface/issues).
---
This research was supported by the National Science Foundation (NSF)
under grant number CNS-1518865. Additional support
was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the
Conklin Kistler family fund. Any opinions, findings, conclusions or
recommendations expressed in this material are those of the authors
and should not be attributed to their employers or funding sources.
# What's in this repository?
+ [batch-represent](https://github.com/cmusatyalab/openface/tree/master/batch-represent): Generate representations from
a batch of images. [Example directory structure.](https://gist.github.com/bamos/f03037f5df7e05ad0cc8)
+ [demos/web](https://github.com/cmusatyalab/openface/tree/master/demos/web): Real-time web demo.
+ [demos/compare.py](https://github.com/cmusatyalab/openface/tree/master/demos/compare.py): Demo to compare two images.
+ [demos/vis-outputs.lua](https://github.com/cmusatyalab/openface/tree/master/demos/vis-outputs.lua): Demo to
visualize the network's outputs.
+ [demos/classifier.py](https://github.com/cmusatyalab/openface/tree/master/demos/classifier.py): Demo to train and use classifiers.
+ [demos/classifier_webcam.py](https://github.com/cmusatyalab/openface/blob/master/demos/classifier_webcam.py): Demo to use a trained classifier on a webcam stream.
+ [evaluation](https://github.com/cmusatyalab/openface/blob/master/evaluation): LFW accuracy evaluation scripts.
+ [openface](https://github.com/cmusatyalab/openface/tree/master/openface): Python library code.
+ [models](https://github.com/cmusatyalab/openface/tree/master/models): Model directory for openface and 3rd party libraries.
+ [tests](https://github.com/cmusatyalab/openface/tree/master/tests): Tests for scripts and library code, including neural network training.
+ [training](https://github.com/cmusatyalab/openface/tree/master/training): Scripts to train new OpenFace neural network models.
+ [util](https://github.com/cmusatyalab/openface/tree/master/util): Utility scripts.
# Citations
Please cite OpenFace in your publications if it helps your research.
The following is a [BibTeX](http://www.bibtex.org/) and plaintext reference for our
[OpenFace tech report](http://reports-archive.adm.cs.cmu.edu/anon/anon/2016/CMU-CS-16-118.pdf).
```
@techreport{amos2016openface,
title={OpenFace: A general-purpose face recognition
library with mobile applications},
author={Amos, Brandon and Bartosz Ludwiczuk and Satyanarayanan, Mahadev},
year={2016},
institution={CMU-CS-16-118, CMU School of Computer Science},
}
B. Amos, B. Ludwiczuk, M. Satyanarayanan,
"Openface: A general-purpose face recognition library with mobile applications,"
CMU-CS-16-118, CMU School of Computer Science, Tech. Rep., 2016.
```
# Licensing
Unless otherwise stated, the source code and trained Torch and Python
model files are copyright Carnegie Mellon University and licensed
under the [Apache 2.0 License](./LICENSE).
Portions from the following third party sources have
been modified and are included in this repository.
These portions are noted in the source files and are
copyright their respective authors with
the licenses listed.
Project | Modified | License
---|---|---|
[Atcold/torch-TripletEmbedding](https://github.com/Atcold/torch-TripletEmbedding) | No | MIT
[facebook/fbnn](https://github.com/facebook/fbnn) | Yes | BSD
[dlib-models](https://github.com/davisking/dlib-models) (68 face landmark detector) | No | CC0