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| <!doctype html><html lang=en-us><head><meta charset=utf-8><meta http-equiv=x-ua-compatible content="IE=edge"><title>recops/recops/about/</title><meta name=viewport content="width=device-width,initial-scale=1"><meta name=robots content="all,follow"><meta name=googlebot content="index,follow,snippet,archive"><link rel=stylesheet href=https://forensic-toolkit.github.io/recops/hugo-theme-console/css/terminal-0.7.2.min.css><link rel=stylesheet href=https://forensic-toolkit.github.io/recops/hugo-theme-console/css/animate-4.1.1.min.css><link rel=stylesheet href=https://forensic-toolkit.github.io/recops/hugo-theme-console/css/console.css><!--[if lt IE 9]><script src=https://oss.maxcdn.com/html5shiv/3.7.2/html5shiv.min.js></script> | ||
| <script src=https://oss.maxcdn.com/respond/1.4.2/respond.min.js></script><![endif]--><meta property="og:title" content><meta property="og:description" content><meta property="og:type" content="article"><meta property="og:url" content="https://forensic-toolkit.github.io/recops/about/"><meta property="article:published_time" content="2022-06-03T00:00:00+00:00"><meta name=twitter:title content><meta name=twitter:description content="recops is an open-source facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research. recops is developed by a duo of culture jamming activists based in Athens, and is intended for use by open source research agencies, journalists, and activists. recops leverages a whole range of complex operations from fundamental face detection and face recognition to face analysis and face clustering to bring practical applications to human rights research."></head><body class=terminal><div class=container><div class=terminal-nav><header class=terminal-logo><div class="logo terminal-prompt"><a href=https://forensic-toolkit.github.io/recops/ class="no-style site-name">recops</a>:~# | ||
| <a href=https://forensic-toolkit.github.io/recops/about>about</a>/</div></header><nav class=terminal-menu><ul vocab="https://schema.org/" typeof="BreadcrumbList"><li><a href=https://forensic-toolkit.github.io/recops/about/ typeof="ListItem">about/</a></li><li><a href=https://forensic-toolkit.github.io/recops/overview/ typeof="ListItem">overview/</a></li><li><a href=https://forensic-toolkit.github.io/recops/documentation/ typeof="ListItem">documentation/</a></li></ul></nav></div></div><div class="container animated zoomIn fast"><h1></h1><p><code>recops</code> is an open-source facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research. <code>recops</code> is developed by a duo of culture jamming activists based in Athens, and is intended for use by open source research agencies, journalists, and activists. <code>recops</code> leverages a whole range of complex operations from fundamental face detection and face recognition to face analysis and face clustering to bring practical applications to human rights research.</p><p>Through a combination of targeted data collection and collation, intelligent automation and analysis, the project establishes a new and comprehensive methodological framework to equip investigative journalists, human rights researchers, and digital activists with the means to strengthen justice and advocacy efforts.</p><p><code>recops</code> is a wrapper around the open-sourced <a href=https://github.com/serengil/deepface>deepface</a> library (a lightweight face recognition and facial attribute analysis library for Python) that stores data in a structured way using SQL. Wraps all cutting-edge artificial intelligence models for face detection and face recognition and automatically handles all procedures for facial recognition in the background.</p><p><code>recops</code> is an open-source and in active development project, written in Python and licensed under the <a href=https://github.com/forensic-toolkit/recops/blob/main/LICENSE.md>Do No Harm License</a>. This means that anyone can use and adapt <code>recops</code> according to the challenges of their own research. It is lightweight and is mainly based on <a href=https://www.tensorflow.org/>TensorFlow</a> and <a href=https://keras.io/>Keras</a>, that makes it very easy to install.</p><p>To learn more about the development context of the <code>recops</code> project, you can read an overview <a href=overview/context/>here</a>.</p><hr><h2 id=developers>DEVELOPERS</h2><p>The open-source <code>recops</code> software is developed by a duo of culture jamming activists, battling the opaque and intricate apparatus of our reality, based in Athens.</p><h2 id=contact>CONTACT</h2><p>Email is the best way of contacting us. Please use our public <a href=about/publickey.recops_pm.me-9556268a9d900f7bdcdc3c58c094acdb26ddc4e3.asc>PGP key</a> to send us encrypted secure email using this address: <a href=mailto:[email protected]>[email protected]</a>.</p><h2 id=software-credits>SOFTWARE CREDITS</h2><p><code>recops</code> in its entirety was developed using open-source software. Makes heavy use of the <a href=https://github.com/serengil/deepface>deepface</a> library - a lightweight face recognition and facial attribute analysis library for Python by <a href=https://github.com/serengil>Sefik Serengil</a>.</p><p>Additionally makes use of <a href=https://www.sqlite.org>sqlite</a> as SQL database, <a href=https://www.sqlalchemy.org/>sqlalchemy</a> and its ORM capabilities, <a href=https://flask.palletsprojects.com/en/latest/>flask</a> and <a href=https://flask-admin.readthedocs.io/en/latest/>flask-admin</a> to build a helpfull Web UI.</p><h2 id=licence>LICENCE</h2><p><code>recops</code> is licensed under the Do No Harm License, see <a href=https://github.com/forensic-toolkit/recops/blob/main/LICENSE.md>LICENSE.md</a> for more details. Is a wrapper around <a href=https://github.com/serengil/deepface/blob/master/LICENSE>deepface</a> library. Also <code>recops</code> wraps some external face recognition models: <a href=http://www.robots.ox.ac.uk/~vgg/software/vgg_face/>VGG-Face</a>, <a href=https://github.com/davidsandberg/facenet/blob/master/LICENSE.md>Facenet</a>, <a href=https://github.com/iwantooxxoox/Keras-OpenFace/blob/master/LICENSE>OpenFace</a>, <a href=https://github.com/swghosh/DeepFace/blob/master/LICENSE>DeepFace</a>, <a href=https://github.com/davisking/dlib/blob/master/dlib/LICENSE.txt>Dlib</a>, <a href=https://github.com/Ruoyiran/DeepID/blob/master/LICENSE.md>DeepID</a>, <a href=https://github.com/leondgarse/Keras_insightface/blob/master/LICENSE>ArcFace</a>, and <a href=https://github.com/opencv/opencv_zoo/blob/master/models/face_recognition_sface/LICENSE>SFace</a>.</p><p>Besides, age, gender and race / ethnicity models are based on <a href=https://www.robots.ox.ac.uk/~vgg/software/vgg_face/>VGG-Face</a>. Licence types will be inherited if you are going to use those models. Please check the license types of those models for production purposes.</p><h2 id=about-this-site>ABOUT THIS SITE</h2><p>The site is built with Markdown, is designed to be privacy-friendly and does not use any 3rd party analytics to track visits, nor any 3rd party dependencies that compromise privacy or share data.</p><div class=footer>Powered by <a href=https://gohugo.io/>Hugo</a> with | ||
| <a href=https://forensic-toolkit.github.io/recops/about>about</a>/</div></header><nav class=terminal-menu><ul vocab="https://schema.org/" typeof="BreadcrumbList"><li><a href=https://forensic-toolkit.github.io/recops/about/ typeof="ListItem">about/</a></li><li><a href=https://forensic-toolkit.github.io/recops/overview/ typeof="ListItem">overview/</a></li><li><a href=https://forensic-toolkit.github.io/recops/documentation/ typeof="ListItem">documentation/</a></li></ul></nav></div></div><div class="container animated zoomIn fast"><h1></h1><p><code>recops</code> is an open-source facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research. <code>recops</code> is developed by a duo of culture jamming activists based in Athens, and is intended for use by open source research agencies, journalists, and activists. <code>recops</code> leverages a whole range of complex operations from fundamental face detection and face recognition to face analysis and face clustering to bring practical applications to human rights research.</p><p>Through a combination of targeted data collection and collation, intelligent automation and analysis, the project establishes a new and comprehensive methodological framework to equip investigative journalists, human rights researchers, and digital activists with the means to strengthen justice and advocacy efforts.</p><p><code>recops</code> is a wrapper around the open-sourced <a href=https://github.com/serengil/deepface>deepface</a> library (a lightweight face recognition and facial attribute analysis library for Python) that stores data in a structured way using SQL. Wraps all cutting-edge artificial intelligence models for face detection and face recognition and automatically handles all procedures for facial recognition in the background.</p><p><code>recops</code> is an open-source and in active development project, written in Python and licensed under the <a href=https://github.com/forensic-toolkit/recops/blob/main/LICENSE.md>Do No Harm License</a>. This means that anyone can use and adapt <code>recops</code> according to the challenges of their own research. It is lightweight and is mainly based on <a href=https://www.tensorflow.org/>TensorFlow</a> and <a href=https://keras.io/>Keras</a>, that makes it very easy to install.</p><p>To learn more about the development context of the <code>recops</code> project, you can read an overview <a href=../overview/context/>here</a>.</p><hr><h2 id=developers>DEVELOPERS</h2><p>The open-source <code>recops</code> software is developed by a duo of culture jamming activists, battling the opaque and intricate apparatus of our reality, based in Athens.</p><h2 id=contact>CONTACT</h2><p>Email is the best way of contacting us. Please use our public <a href=publickey.recops_pm.me-9556268a9d900f7bdcdc3c58c094acdb26ddc4e3.asc>PGP key</a> to send us encrypted secure email using this address: <a href=mailto:[email protected]>[email protected]</a>.</p><h2 id=software-credits>SOFTWARE CREDITS</h2><p><code>recops</code> in its entirety was developed using open-source software. Makes heavy use of the <a href=https://github.com/serengil/deepface>deepface</a> library - a lightweight face recognition and facial attribute analysis library for Python by <a href=https://github.com/serengil>Sefik Serengil</a>.</p><p>Additionally makes use of <a href=https://www.sqlite.org>sqlite</a> as SQL database, <a href=https://www.sqlalchemy.org/>sqlalchemy</a> and its ORM capabilities, <a href=https://flask.palletsprojects.com/en/latest/>flask</a> and <a href=https://flask-admin.readthedocs.io/en/latest/>flask-admin</a> to build a helpfull Web UI.</p><h2 id=licence>LICENCE</h2><p><code>recops</code> is licensed under the Do No Harm License, see <a href=https://github.com/forensic-toolkit/recops/blob/main/LICENSE.md>LICENSE.md</a> for more details. Is a wrapper around <a href=https://github.com/serengil/deepface/blob/master/LICENSE>deepface</a> library. Also <code>recops</code> wraps some external face recognition models: <a href=http://www.robots.ox.ac.uk/~vgg/software/vgg_face/>VGG-Face</a>, <a href=https://github.com/davidsandberg/facenet/blob/master/LICENSE.md>Facenet</a>, <a href=https://github.com/iwantooxxoox/Keras-OpenFace/blob/master/LICENSE>OpenFace</a>, <a href=https://github.com/swghosh/DeepFace/blob/master/LICENSE>DeepFace</a>, <a href=https://github.com/davisking/dlib/blob/master/dlib/LICENSE.txt>Dlib</a>, <a href=https://github.com/Ruoyiran/DeepID/blob/master/LICENSE.md>DeepID</a>, <a href=https://github.com/leondgarse/Keras_insightface/blob/master/LICENSE>ArcFace</a>, and <a href=https://github.com/opencv/opencv_zoo/blob/master/models/face_recognition_sface/LICENSE>SFace</a>.</p><p>Besides, age, gender and race / ethnicity models are based on <a href=https://www.robots.ox.ac.uk/~vgg/software/vgg_face/>VGG-Face</a>. Licence types will be inherited if you are going to use those models. Please check the license types of those models for production purposes.</p><h2 id=about-this-site>ABOUT THIS SITE</h2><p>The site is built with Markdown, is designed to be privacy-friendly and does not use any 3rd party analytics to track visits, nor any 3rd party dependencies that compromise privacy or share data.</p><div class=footer>Powered by <a href=https://gohugo.io/>Hugo</a> with | ||
| <a href=https://github.com/mrmierzejewski/hugo-theme-console/>Console Theme</a>.</div></div></body></html> |
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