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Vision","Lua","Table of Contents","Projects","实战项目","Model Zoo","Research \u0026 Data Analysis"],"sub_categories":["Miscellaneous","Classification \u0026 Detection \u0026 Tracking","Blogs","Global AI Projects","人脸识别项目","Convolutional Networks"],"readme":"# OpenFace • [![Build Status][travis-image]][travis] [![Release][release-image]][releases] [![License][license-image]][license] [![Gitter][gitter-image]][gitter]\n\n*Free and open source face recognition with\ndeep neural networks.*\n\n\n[travis-image]: https://travis-ci.org/cmusatyalab/openface.svg?branch=master\n[travis]: https://travis-ci.org/cmusatyalab/openface\n\n[release-image]: https://img.shields.io/badge/release-0.2.1-blue.svg?style=flat\n[releases]: https://github.com/cmusatyalab/openface/releases\n\n[license-image]: https://img.shields.io/badge/license-Apache--2-blue.svg?style=flat\n[license]: LICENSE\n\n[gitter-image]: https://badges.gitter.im/Join%20Chat.svg\n[gitter]: https://gitter.im/cmusatyalab/openface\n\n---\n\n+ Website: https://cmusatyalab.github.io/openface/\n+ [API Documentation](https://openface-api.readthedocs.org/en/latest/index.html)\n+ Join the\n  [cmu-openface group](https://groups.google.com/forum/#!forum/cmu-openface)\n  or the\n  [gitter chat](https://gitter.im/cmusatyalab/openface)\n  for discussions and installation issues.\n+ Development discussions and bugs reports are on the\n  [issue tracker](https://github.com/cmusatyalab/openface/issues).\n\n---\n\nThis research was supported by the National Science Foundation (NSF)\nunder grant number CNS-1518865.  Additional support\nwas provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the\nConklin Kistler family fund.  Any opinions, findings, conclusions or\nrecommendations expressed in this material are those of the authors\nand should not be attributed to their employers or funding sources.\n\n# What's in this repository?\n+ [batch-represent](https://github.com/cmusatyalab/openface/tree/master/batch-represent): Generate representations from\n  a batch of images. [Example directory structure.](https://gist.github.com/bamos/f03037f5df7e05ad0cc8)\n+ [demos/web](https://github.com/cmusatyalab/openface/tree/master/demos/web): Real-time web demo.\n+ [demos/compare.py](https://github.com/cmusatyalab/openface/tree/master/demos/compare.py): Demo to compare two images.\n+ [demos/vis-outputs.lua](https://github.com/cmusatyalab/openface/tree/master/demos/vis-outputs.lua): Demo to\n  visualize the network's outputs.\n+ [demos/classifier.py](https://github.com/cmusatyalab/openface/tree/master/demos/classifier.py): Demo to train and use classifiers.\n+ [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.\n+ [evaluation](https://github.com/cmusatyalab/openface/blob/master/evaluation): LFW accuracy evaluation scripts.\n+ [openface](https://github.com/cmusatyalab/openface/tree/master/openface): Python library code.\n+ [models](https://github.com/cmusatyalab/openface/tree/master/models): Model directory for openface and 3rd party libraries.\n+ [tests](https://github.com/cmusatyalab/openface/tree/master/tests): Tests for scripts and library code, including neural network training.\n+ [training](https://github.com/cmusatyalab/openface/tree/master/training): Scripts to train new OpenFace neural network models.\n+ [util](https://github.com/cmusatyalab/openface/tree/master/util): Utility scripts.\n\n# Citations\n\nPlease cite OpenFace in your publications if it helps your research.\nThe following is a [BibTeX](https://www.bibtex.org/) and plaintext reference for our\n[OpenFace tech report](https://reports-archive.adm.cs.cmu.edu/anon/anon/2016/CMU-CS-16-118.pdf).\n\n```\n@techreport{amos2016openface,\n  title={OpenFace: A general-purpose face recognition\n    library with mobile applications},\n  author={Amos, Brandon and Bartosz Ludwiczuk and Satyanarayanan, Mahadev},\n  year={2016},\n  institution={CMU-CS-16-118, CMU School of Computer Science},\n}\n\nB. Amos, B. Ludwiczuk, M. Satyanarayanan,\n\"Openface: A general-purpose face recognition library with mobile applications,\"\nCMU-CS-16-118, CMU School of Computer Science, Tech. Rep., 2016.\n```\n\n# Licensing\nUnless otherwise stated, the source code and trained Torch and Python\nmodel files are copyright Carnegie Mellon University and licensed\nunder the [Apache 2.0 License](./LICENSE).\nPortions from the following third party sources have\nbeen modified and are included in this repository.\nThese portions are noted in the source files and are\ncopyright their respective authors with\nthe licenses listed.\n\nProject | Modified | License\n---|---|---|\n[Atcold/torch-TripletEmbedding](https://github.com/Atcold/torch-TripletEmbedding) | No | MIT\n[facebook/fbnn](https://github.com/facebook/fbnn) | Yes | BSD\n[dlib-models](https://github.com/davisking/dlib-models) (68 face landmark detector) | No | CC0\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmusatyalab%2Fopenface","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcmusatyalab%2Fopenface","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmusatyalab%2Fopenface/lists"}