Go to file

Brandon Amos 1e966337eb Update docs.		2015-11-02 17:30:14 -05:00
batch-represent	Correct calls to image.load	2015-10-31 17:12:47 -04:00
demos	Web Demo: Use a non-interactive backend.	2015-11-02 11:15:02 -05:00
docker	Expose port 9000 from the docker container.	2015-10-31 17:12:47 -04:00
docs	Update docs.	2015-11-02 17:30:14 -05:00
evaluation	Small pep8 fixes.	2015-10-13 07:40:47 -04:00
images	Add filter outputs of Lennon.	2015-10-13 02:21:15 -04:00
models	Don't ignore sigint	2015-10-17 13:38:14 -04:00
openface	fix torch error reporting	2015-10-30 12:40:47 -04:00
training	Correct calls to image.load	2015-10-31 17:12:47 -04:00
util	align-dlib: Fix logic for debug images for #43 .	2015-10-29 15:24:22 -04:00
.gitignore	README: Add 'Visualizing layer outputs'	2015-10-13 02:28:19 -04:00
.gitmodules	Add torch-TripletEmbedding submodule.	2015-09-18 16:57:25 -04:00
.travis.yml	Add simple .travis.yml for pep8 checks.	2015-10-13 07:37:40 -04:00
CHANGELOG.md	Update CHANGELOG for 0.1.1	2015-10-15 11:25:58 -04:00
LICENSE	Add LICENSE.	2015-09-23 19:28:51 -04:00
README.md	Formatting.	2015-11-01 08:00:02 -05:00
cloc.sh	Update cloc.sh	2015-10-13 08:03:08 -04:00
mkdocs.yml	Update docs.	2015-11-02 17:30:14 -05:00

README.md

OpenFace

[ ![Build Status] travis-image ] travis [ ![Release] release-image ] releases [ license-image ] license [ doi-image ] doi [ gitter-image ] gitter [ ] docs

This is a Python and Torch implementation of the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google using publicly available libraries and datasets. Torch allows the network to be executed on a CPU or with CUDA.

Crafted by Brandon Amos in the Elijah research group at Carnegie Mellon University.

Overview

Real-Time Demo

The documentation is available here.

Please join the cmu-openface group or the gitter chat for discussions and installation issues.

Development discussions and bugs reports are on the issue tracker.

Citations

Please cite this repository if you use this in academic works.

@misc{amos2015openface,
    author       = {Amos, Brandon and Harkes, Jan and Pillai, Padmanabhan and Elgazzar, Khalid and Satyanarayanan, Mahadev},
    title        = {OpenFace 0.1.1: Face recognition with Google's FaceNet deep neural network},
    month        = oct,
    year         = 2015,
    doi          = {10.5281/zenodo.32148},
    url          = {http://dx.doi.org/10.5281/zenodo.32148}
}

Acknowledgements

The fantastic Torch ecosystem and community.
Alfredo Canziani's implementation of FaceNet's loss function in torch-TripletEmbedding
Nicholas Léonard for quickly merging my pull requests to nicholas-leonard/dpnn modifying the inception layer.
Francisco Massa and Andrej Karpathy for quickly releasing nn.Normalize after I expressed interest in using it.
Soumith Chintala for help with the fbcunn example code.
NVIDIA's academic hardware grant program for providing the Tesla K40 used to train the model.
Davis King's dlib library for face detection and alignment.
Zhuo Chen, Kiryong Ha, Wenlu Hu, Rahul Sukthankar, and Junjue Wang for insightful discussions.

Licensing

The source code and trained models nn4.v1.t7 and celeb-classifier.nn4.v1.t7 are copyright Carnegie Mellon University and licensed under the Apache 2.0 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	No	MIT
facebook/fbnn	Yes	BSD