96 lines
4.1 KiB
Markdown
96 lines
4.1 KiB
Markdown
# OpenFace
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*Free and open source face recognition with
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deep neural networks.*
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[ ![Build Status] [travis-image] ] [travis]
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[ ![Release] [release-image] ] [releases]
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[ ![License] [license-image] ] [license]
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[ ![Gitter] [gitter-image] ] [gitter]
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[travis-image]: https://travis-ci.org/cmusatyalab/openface.png?branch=master
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[travis]: http://travis-ci.org/cmusatyalab/openface
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[release-image]: http://img.shields.io/badge/release-0.1.1-blue.svg?style=flat
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[releases]: https://github.com/cmusatyalab/openface/releases
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[license-image]: http://img.shields.io/badge/license-Apache--2-blue.svg?style=flat
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[license]: LICENSE
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[gitter-image]: https://badges.gitter.im/Join%20Chat.svg
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[gitter]: https://gitter.im/cmusatyalab/openface
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---
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+ Website: http://cmusatyalab.github.io/openface/
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+ [API Documentation](http://openface-api.readthedocs.org/en/latest/index.html)
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+ Join the
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[cmu-openface group](https://groups.google.com/forum/#!forum/cmu-openface)
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or the
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[gitter chat](https://gitter.im/cmusatyalab/openface)
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for discussions and installation issues.
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+ Development discussions and bugs reports are on the
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[issue tracker](https://github.com/cmusatyalab/openface/issues).
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---
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This research was supported by the National Science Foundation (NSF)
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under grant number CNS-1518865. Additional support
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was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the
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Conklin Kistler family fund. Any opinions, findings, conclusions or
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recommendations expressed in this material are those of the authors
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and should not be attributed to their employers or funding sources.
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# What's in this repository?
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+ [batch-represent](https://github.com/cmusatyalab/openface/tree/master/batch-represent): Generate representations from
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a batch of images, stored in a directory by names.
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+ [demos/web](https://github.com/cmusatyalab/openface/tree/master/demos/web): Real-time web demo.
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+ [demos/compare.py](https://github.com/cmusatyalab/openface/tree/master/demos/compare.py): Demo to compare two images.
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+ [demos/vis-outputs.lua](https://github.com/cmusatyalab/openface/tree/master/demos/vis-outputs.lua): Demo to
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visualize the network's outputs.
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+ [demos/classifier.py](https://github.com/cmusatyalab/openface/tree/master/demos/classifier.py): Demo to train and use classifiers.
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+ [evaluation](https://github.com/cmusatyalab/openface/blob/master/evaluation): LFW accuracy evaluation scripts.
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+ [openface](https://github.com/cmusatyalab/openface/tree/master/openface): Python library code.
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+ [models](https://github.com/cmusatyalab/openface/tree/master/models): Model directory for openface and 3rd party libraries.
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+ [training](https://github.com/cmusatyalab/openface/tree/master/training): Scripts to train new OpenFace models.
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+ [util](https://github.com/cmusatyalab/openface/tree/master/util): Utility scripts.
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# Citations
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The following is a [BibTeX](http://www.bibtex.org/)
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and plaintext reference
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for the OpenFace GitHub repository.
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The reference may change in the future.
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The BibTeX entry requires the `url` LaTeX package.
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```
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@misc{amos2015openface,
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title = {{OpenFace: Face Recognition with Deep Neural Networks}},
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author = {Amos, Brandon and Harkes, Jan and Pillai, Padmanabhan and Elgazzar, Khalid and Satyanarayanan, Mahadev},
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howpublished = {\url{http://github.com/cmusatyalab/openface}},
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note = {Accessed: 2015-11-11}
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}
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Brandon Amos, Jan Harkes, Padmanabhan Pillai, Khalid Elgazzar,
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and Mahadev Satyanarayanan.
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OpenFace: Face Recognition with Deep Neural Networks.
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http://github.com/cmusatyalab/openface.
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Accessed: 2015-11-11.
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```
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# Licensing
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The source code and trained models `nn4.v1.t7` and
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`celeb-classifier.nn4.v1.t7` are copyright
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Carnegie Mellon University and licensed under the
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[Apache 2.0 License](./LICENSE).
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Portions from the following third party sources have
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been modified and are included in this repository.
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These portions are noted in the source files and are
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copyright their respective authors with
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the licenses listed.
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Project | Modified | License
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---|---|---|
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[Atcold/torch-TripletEmbedding](https://github.com/Atcold/torch-TripletEmbedding) | No | MIT
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[facebook/fbnn](https://github.com/facebook/fbnn) | Yes | BSD
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