[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-9678":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":16,"stars30d":17,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":18,"rankGlobal":10,"rankLanguage":10,"license":19,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":22,"hasPages":22,"topics":23,"createdAt":10,"pushedAt":10,"updatedAt":27,"readmeContent":28,"aiSummary":29,"trendingCount":16,"starSnapshotCount":16,"syncStatus":30,"lastSyncTime":31,"discoverSource":32},9678,"openface","cmusatyalab\u002Fopenface","cmusatyalab","Face recognition with deep neural networks.","http:\u002F\u002Fcmusatyalab.github.io\u002Fopenface\u002F",null,"Lua",15414,3568,735,1,0,6,45,"Apache License 2.0",false,"master",true,[24,25,26],"deep-learning","face-recognition","facenet","2026-06-12 02:02:11","# 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:\u002F\u002Ftravis-ci.org\u002Fcmusatyalab\u002Fopenface.svg?branch=master\n[travis]: http:\u002F\u002Ftravis-ci.org\u002Fcmusatyalab\u002Fopenface\n\n[release-image]: http:\u002F\u002Fimg.shields.io\u002Fbadge\u002Frelease-0.2.1-blue.svg?style=flat\n[releases]: https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Freleases\n\n[license-image]: http:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-Apache--2-blue.svg?style=flat\n[license]: LICENSE\n\n[gitter-image]: https:\u002F\u002Fbadges.gitter.im\u002FJoin%20Chat.svg\n[gitter]: https:\u002F\u002Fgitter.im\u002Fcmusatyalab\u002Fopenface\n\n---\n\n+ Website: http:\u002F\u002Fcmusatyalab.github.io\u002Fopenface\u002F\n+ [API Documentation](http:\u002F\u002Fopenface-api.readthedocs.org\u002Fen\u002Flatest\u002Findex.html)\n+ Join the\n  [cmu-openface group](https:\u002F\u002Fgroups.google.com\u002Fforum\u002F#!forum\u002Fcmu-openface)\n  or the\n  [gitter chat](https:\u002F\u002Fgitter.im\u002Fcmusatyalab\u002Fopenface)\n  for discussions and installation issues.\n+ Development discussions and bugs reports are on the\n  [issue tracker](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Fissues).\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:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Ftree\u002Fmaster\u002Fbatch-represent): Generate representations from\n  a batch of images. [Example directory structure.](https:\u002F\u002Fgist.github.com\u002Fbamos\u002Ff03037f5df7e05ad0cc8)\n+ [demos\u002Fweb](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Ftree\u002Fmaster\u002Fdemos\u002Fweb): Real-time web demo.\n+ [demos\u002Fcompare.py](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Ftree\u002Fmaster\u002Fdemos\u002Fcompare.py): Demo to compare two images.\n+ [demos\u002Fvis-outputs.lua](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Ftree\u002Fmaster\u002Fdemos\u002Fvis-outputs.lua): Demo to\n  visualize the network's outputs.\n+ [demos\u002Fclassifier.py](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Ftree\u002Fmaster\u002Fdemos\u002Fclassifier.py): Demo to train and use classifiers.\n+ [demos\u002Fclassifier_webcam.py](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Fblob\u002Fmaster\u002Fdemos\u002Fclassifier_webcam.py): Demo to use a trained classifier on a webcam stream.\n+ [evaluation](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Fblob\u002Fmaster\u002Fevaluation): LFW accuracy evaluation scripts.\n+ [openface](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Ftree\u002Fmaster\u002Fopenface): Python library code.\n+ [models](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Ftree\u002Fmaster\u002Fmodels): Model directory for openface and 3rd party libraries.\n+ [tests](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Ftree\u002Fmaster\u002Ftests): Tests for scripts and library code, including neural network training.\n+ [training](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Ftree\u002Fmaster\u002Ftraining): Scripts to train new OpenFace neural network models.\n+ [util](https:\u002F\u002Fgithub.com\u002Fcmusatyalab\u002Fopenface\u002Ftree\u002Fmaster\u002Futil): Utility scripts.\n\n# Citations\n\nPlease cite OpenFace in your publications if it helps your research.\nThe following is a [BibTeX](http:\u002F\u002Fwww.bibtex.org\u002F) and plaintext reference for our\n[OpenFace tech report](http:\u002F\u002Freports-archive.adm.cs.cmu.edu\u002Fanon\u002Fanon\u002F2016\u002FCMU-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](.\u002FLICENSE).\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\u002Ftorch-TripletEmbedding](https:\u002F\u002Fgithub.com\u002FAtcold\u002Ftorch-TripletEmbedding) | No | MIT\n[facebook\u002Ffbnn](https:\u002F\u002Fgithub.com\u002Ffacebook\u002Ffbnn) | Yes | BSD\n[dlib-models](https:\u002F\u002Fgithub.com\u002Fdavisking\u002Fdlib-models) (68 face landmark detector) | No | CC0\n","OpenFace 是一个基于深度神经网络的人脸识别开源项目。它提供了从批量图像生成表示、实时人脸比较与分类等功能，并支持通过Web界面进行实时演示。该项目使用Lua语言开发，具备高精度的人脸特征提取能力及良好的可扩展性。适用于需要实现人脸识别功能的各种应用场景，如安防监控、身份验证系统以及人机交互界面等。此外，OpenFace 还为开发者提供了丰富的API文档和示例代码，方便集成到不同的项目中。",2,"2026-06-11 03:24:11","top_topic"]