Repository files navigation

Exadel CompreFace is a leading free and open-source face recognition system

angular-logo
Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition and is easily deployed with docker.

Official website

Contributing · Submit an Issue · Blog · Community chat

GitHub licenseGitHub contributors


Table Of Contents

Overview

Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

The system provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services.

CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace.

Screenshots

compreface-recognition-pagecompreface-dashboard-page

More Screenshots

compreface-verification-pagecompreface-detection-page

compreface-services-pagecompreface-wizzard-page

Videos

CompreFace Face Detection DemoCompreFace Appery.io Demo

More Videos

CompreFace .NET SDK DemoCompreFace JavaScript SDK Demo

News and updates

Subscribe to CompreFace News and Updates to never miss new features and product improvements.

Features

The system can accurately identify people even when it has only “seen” their photo once. Technology-wise, CompreFace has several advantages over similar free face recognition solutions. CompreFace:

  • Supports both CPU and GPU and is easy to scale up
  • Is open source and self-hosted, which gives you additional guarantees for data security
  • Can be deployed either in the cloud or on premises
  • Can be set up and used without machine learning expertise
  • Uses FaceNet and InsightFace libraries, which use state-of-the-art face recognition methods
  • Starts quickly with just one docker command

Functionalities

Getting Started with CompreFace

Requirements

  1. Docker and Docker compose (or Docker Desktop)
  2. CompreFace could be run on most modern computers with x86 processor and AVX support. To check AVX support on Linux run lscpu | grep avx command

To get started (Linux, MacOS):

  1. Install Docker and Docker Compose
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Open the terminal in this folder and run this command: docker-compose up -d
  5. Open the service in your browser: http://localhost:8000/login

To get started (Windows):

  1. Install Docker Desktop
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Run Docker
  5. Open Command prompt (write cmd in windows search bar)
  6. Open folder where you extracted zip archive (Write cd path_of_the_folder, press enter).
  7. Run command: docker-compose up -d
  8. Open http://localhost:8000/login

Getting started for contributors

Follow this link

CompreFace SDKs

SDKRepository
JavaScripthttps://github.com/exadel-inc/compreface-javascript-sdk
Pythonhttps://github.com/exadel-inc/compreface-python-sdk
.NEThttps://github.com/exadel-inc/compreface-net-sdk

Documentation

More documentation is available here

Contributing

We want to improve our open-source face recognition solution, so your contributions are welcome and greatly appreciated.

  • Just use CompreFace and report ideas and bugs on GitHub
  • Share knowledge and experience via posting guides and articles, or just improve our documentation
  • Create SDKs for favorite programming language, we will add it to our documentation
  • Integrate CompreFace support to other platforms like Home Assistant or DreamFactory, we will add it to our documentation
  • Contribute code
  • Add plugin to face services
  • And last, but not least, you can just give a star to our free facial recognition system on GitHub

For more information, visit our contributing guide, or create a discussion.

License info

CompreFace is open-source real-time facial recognition software released under the Apache 2.0 license.

About

Leading free and open-source face recognition system

Resources

Code of conduct

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Repository files navigation

Exadel CompreFace is a leading free and open-source face recognition system

angular-logo
Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition and is easily deployed with docker.

Official website

Contributing · Submit an Issue · Blog · Community chat

GitHub licenseGitHub contributors


Table Of Contents

Overview

Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

The system provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services.

CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace.

Screenshots

compreface-recognition-pagecompreface-dashboard-page

More Screenshots

compreface-verification-pagecompreface-detection-page

compreface-services-pagecompreface-wizzard-page

Videos

CompreFace Face Detection DemoCompreFace Appery.io Demo

More Videos

CompreFace .NET SDK DemoCompreFace JavaScript SDK Demo

News and updates

Subscribe to CompreFace News and Updates to never miss new features and product improvements.

Features

The system can accurately identify people even when it has only “seen” their photo once. Technology-wise, CompreFace has several advantages over similar free face recognition solutions. CompreFace:

  • Supports both CPU and GPU and is easy to scale up
  • Is open source and self-hosted, which gives you additional guarantees for data security
  • Can be deployed either in the cloud or on premises
  • Can be set up and used without machine learning expertise
  • Uses FaceNet and InsightFace libraries, which use state-of-the-art face recognition methods
  • Starts quickly with just one docker command

Functionalities

Getting Started with CompreFace

Requirements

  1. Docker and Docker compose (or Docker Desktop)
  2. CompreFace could be run on most modern computers with x86 processor and AVX support. To check AVX support on Linux run lscpu | grep avx command

To get started (Linux, MacOS):

  1. Install Docker and Docker Compose
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Open the terminal in this folder and run this command: docker-compose up -d
  5. Open the service in your browser: http://localhost:8000/login

To get started (Windows):

  1. Install Docker Desktop
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Run Docker
  5. Open Command prompt (write cmd in windows search bar)
  6. Open folder where you extracted zip archive (Write cd path_of_the_folder, press enter).
  7. Run command: docker-compose up -d
  8. Open http://localhost:8000/login

Getting started for contributors

Follow this link

CompreFace SDKs

SDKRepository
JavaScripthttps://github.com/exadel-inc/compreface-javascript-sdk
Pythonhttps://github.com/exadel-inc/compreface-python-sdk
.NEThttps://github.com/exadel-inc/compreface-net-sdk

Documentation

More documentation is available here

Contributing

We want to improve our open-source face recognition solution, so your contributions are welcome and greatly appreciated.

  • Just use CompreFace and report ideas and bugs on GitHub
  • Share knowledge and experience via posting guides and articles, or just improve our documentation
  • Create SDKs for favorite programming language, we will add it to our documentation
  • Integrate CompreFace support to other platforms like Home Assistant or DreamFactory, we will add it to our documentation
  • Contribute code
  • Add plugin to face services
  • And last, but not least, you can just give a star to our free facial recognition system on GitHub

For more information, visit our contributing guide, or create a discussion.

License info

CompreFace is open-source real-time facial recognition software released under the Apache 2.0 license.

About

Leading free and open-source face recognition system

Resources

Code of conduct

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

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Exadel CompreFace is a leading free and open-source face recognition system

angular-logo
Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition and is easily deployed with docker.

Official website

Contributing · Submit an Issue · Blog · Community chat

GitHub licenseGitHub contributors


Table Of Contents

Overview

Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

The system provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services.

CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace.

Screenshots

compreface-recognition-pagecompreface-dashboard-page

More Screenshots

compreface-verification-pagecompreface-detection-page

compreface-services-pagecompreface-wizzard-page

Videos

CompreFace Face Detection DemoCompreFace Appery.io Demo

More Videos

CompreFace .NET SDK DemoCompreFace JavaScript SDK Demo

News and updates

Subscribe to CompreFace News and Updates to never miss new features and product improvements.

Features

The system can accurately identify people even when it has only “seen” their photo once. Technology-wise, CompreFace has several advantages over similar free face recognition solutions. CompreFace:

  • Supports both CPU and GPU and is easy to scale up
  • Is open source and self-hosted, which gives you additional guarantees for data security
  • Can be deployed either in the cloud or on premises
  • Can be set up and used without machine learning expertise
  • Uses FaceNet and InsightFace libraries, which use state-of-the-art face recognition methods
  • Starts quickly with just one docker command

Functionalities

Getting Started with CompreFace

Requirements

  1. Docker and Docker compose (or Docker Desktop)
  2. CompreFace could be run on most modern computers with x86 processor and AVX support. To check AVX support on Linux run lscpu | grep avx command

To get started (Linux, MacOS):

  1. Install Docker and Docker Compose
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Open the terminal in this folder and run this command: docker-compose up -d
  5. Open the service in your browser: http://localhost:8000/login

To get started (Windows):

  1. Install Docker Desktop
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Run Docker
  5. Open Command prompt (write cmd in windows search bar)
  6. Open folder where you extracted zip archive (Write cd path_of_the_folder, press enter).
  7. Run command: docker-compose up -d
  8. Open http://localhost:8000/login

Getting started for contributors

Follow this link

CompreFace SDKs

SDKRepository
JavaScripthttps://github.com/exadel-inc/compreface-javascript-sdk
Pythonhttps://github.com/exadel-inc/compreface-python-sdk
.NEThttps://github.com/exadel-inc/compreface-net-sdk

Documentation

More documentation is available here

Contributing

We want to improve our open-source face recognition solution, so your contributions are welcome and greatly appreciated.

  • Just use CompreFace and report ideas and bugs on GitHub
  • Share knowledge and experience via posting guides and articles, or just improve our documentation
  • Create SDKs for favorite programming language, we will add it to our documentation
  • Integrate CompreFace support to other platforms like Home Assistant or DreamFactory, we will add it to our documentation
  • Contribute code
  • Add plugin to face services
  • And last, but not least, you can just give a star to our free facial recognition system on GitHub

For more information, visit our contributing guide, or create a discussion.

License info

CompreFace is open-source real-time facial recognition software released under the Apache 2.0 license.

About

Leading free and open-source face recognition system

Resources

Code of conduct

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Exadel CompreFace is a leading free and open-source face recognition system

angular-logo
Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition and is easily deployed with docker.

Official website

Contributing · Submit an Issue · Blog · Community chat

GitHub licenseGitHub contributors


Table Of Contents

Overview

Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

The system provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services.

CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace.

Screenshots

compreface-recognition-pagecompreface-dashboard-page

More Screenshots

compreface-verification-pagecompreface-detection-page

compreface-services-pagecompreface-wizzard-page

Videos

CompreFace Face Detection DemoCompreFace Appery.io Demo

More Videos

CompreFace .NET SDK DemoCompreFace JavaScript SDK Demo

News and updates

Subscribe to CompreFace News and Updates to never miss new features and product improvements.

Features

The system can accurately identify people even when it has only “seen” their photo once. Technology-wise, CompreFace has several advantages over similar free face recognition solutions. CompreFace:

  • Supports both CPU and GPU and is easy to scale up
  • Is open source and self-hosted, which gives you additional guarantees for data security
  • Can be deployed either in the cloud or on premises
  • Can be set up and used without machine learning expertise
  • Uses FaceNet and InsightFace libraries, which use state-of-the-art face recognition methods
  • Starts quickly with just one docker command

Functionalities

Getting Started with CompreFace

Requirements

  1. Docker and Docker compose (or Docker Desktop)
  2. CompreFace could be run on most modern computers with x86 processor and AVX support. To check AVX support on Linux run lscpu | grep avx command

To get started (Linux, MacOS):

  1. Install Docker and Docker Compose
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Open the terminal in this folder and run this command: docker-compose up -d
  5. Open the service in your browser: http://localhost:8000/login

To get started (Windows):

  1. Install Docker Desktop
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Run Docker
  5. Open Command prompt (write cmd in windows search bar)
  6. Open folder where you extracted zip archive (Write cd path_of_the_folder, press enter).
  7. Run command: docker-compose up -d
  8. Open http://localhost:8000/login

Getting started for contributors

Follow this link

CompreFace SDKs

SDKRepository
JavaScripthttps://github.com/exadel-inc/compreface-javascript-sdk
Pythonhttps://github.com/exadel-inc/compreface-python-sdk
.NEThttps://github.com/exadel-inc/compreface-net-sdk

Documentation

More documentation is available here

Contributing

We want to improve our open-source face recognition solution, so your contributions are welcome and greatly appreciated.

  • Just use CompreFace and report ideas and bugs on GitHub
  • Share knowledge and experience via posting guides and articles, or just improve our documentation
  • Create SDKs for favorite programming language, we will add it to our documentation
  • Integrate CompreFace support to other platforms like Home Assistant or DreamFactory, we will add it to our documentation
  • Contribute code
  • Add plugin to face services
  • And last, but not least, you can just give a star to our free facial recognition system on GitHub

For more information, visit our contributing guide, or create a discussion.

License info

CompreFace is open-source real-time facial recognition software released under the Apache 2.0 license.

About

Leading free and open-source face recognition system

Resources

Code of conduct

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Repository files navigation

Exadel CompreFace is a leading free and open-source face recognition system

angular-logo
Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition and is easily deployed with docker.

Official website

Contributing · Submit an Issue · Blog · Community chat

GitHub licenseGitHub contributors


Table Of Contents

Overview

Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

The system provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services.

CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace.

Screenshots

compreface-recognition-pagecompreface-dashboard-page

More Screenshots

compreface-verification-pagecompreface-detection-page

compreface-services-pagecompreface-wizzard-page

Videos

CompreFace Face Detection DemoCompreFace Appery.io Demo

More Videos

CompreFace .NET SDK DemoCompreFace JavaScript SDK Demo

News and updates

Subscribe to CompreFace News and Updates to never miss new features and product improvements.

Features

The system can accurately identify people even when it has only “seen” their photo once. Technology-wise, CompreFace has several advantages over similar free face recognition solutions. CompreFace:

  • Supports both CPU and GPU and is easy to scale up
  • Is open source and self-hosted, which gives you additional guarantees for data security
  • Can be deployed either in the cloud or on premises
  • Can be set up and used without machine learning expertise
  • Uses FaceNet and InsightFace libraries, which use state-of-the-art face recognition methods
  • Starts quickly with just one docker command

Functionalities

Getting Started with CompreFace

Requirements

  1. Docker and Docker compose (or Docker Desktop)
  2. CompreFace could be run on most modern computers with x86 processor and AVX support. To check AVX support on Linux run lscpu | grep avx command

To get started (Linux, MacOS):

  1. Install Docker and Docker Compose
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Open the terminal in this folder and run this command: docker-compose up -d
  5. Open the service in your browser: http://localhost:8000/login

To get started (Windows):

  1. Install Docker Desktop
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Run Docker
  5. Open Command prompt (write cmd in windows search bar)
  6. Open folder where you extracted zip archive (Write cd path_of_the_folder, press enter).
  7. Run command: docker-compose up -d
  8. Open http://localhost:8000/login

Getting started for contributors

Follow this link

CompreFace SDKs

SDKRepository
JavaScripthttps://github.com/exadel-inc/compreface-javascript-sdk
Pythonhttps://github.com/exadel-inc/compreface-python-sdk
.NEThttps://github.com/exadel-inc/compreface-net-sdk

Documentation

More documentation is available here

Contributing

We want to improve our open-source face recognition solution, so your contributions are welcome and greatly appreciated.

  • Just use CompreFace and report ideas and bugs on GitHub
  • Share knowledge and experience via posting guides and articles, or just improve our documentation
  • Create SDKs for favorite programming language, we will add it to our documentation
  • Integrate CompreFace support to other platforms like Home Assistant or DreamFactory, we will add it to our documentation
  • Contribute code
  • Add plugin to face services
  • And last, but not least, you can just give a star to our free facial recognition system on GitHub

For more information, visit our contributing guide, or create a discussion.

License info

CompreFace is open-source real-time facial recognition software released under the Apache 2.0 license.

About

Leading free and open-source face recognition system

Resources

Code of conduct

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Stars

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Exadel CompreFace is a leading free and open-source face recognition system

angular-logo
Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition and is easily deployed with docker.

Official website

Contributing · Submit an Issue · Blog · Community chat

GitHub licenseGitHub contributors


Table Of Contents

Overview

Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

The system provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services.

CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace.

Screenshots

compreface-recognition-pagecompreface-dashboard-page

More Screenshots

compreface-verification-pagecompreface-detection-page

compreface-services-pagecompreface-wizzard-page

Videos

CompreFace Face Detection DemoCompreFace Appery.io Demo

More Videos

CompreFace .NET SDK DemoCompreFace JavaScript SDK Demo

News and updates

Subscribe to CompreFace News and Updates to never miss new features and product improvements.

Features

The system can accurately identify people even when it has only “seen” their photo once. Technology-wise, CompreFace has several advantages over similar free face recognition solutions. CompreFace:

  • Supports both CPU and GPU and is easy to scale up
  • Is open source and self-hosted, which gives you additional guarantees for data security
  • Can be deployed either in the cloud or on premises
  • Can be set up and used without machine learning expertise
  • Uses FaceNet and InsightFace libraries, which use state-of-the-art face recognition methods
  • Starts quickly with just one docker command

Functionalities

Getting Started with CompreFace

Requirements

  1. Docker and Docker compose (or Docker Desktop)
  2. CompreFace could be run on most modern computers with x86 processor and AVX support. To check AVX support on Linux run lscpu | grep avx command

To get started (Linux, MacOS):

  1. Install Docker and Docker Compose
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Open the terminal in this folder and run this command: docker-compose up -d
  5. Open the service in your browser: http://localhost:8000/login

To get started (Windows):

  1. Install Docker Desktop
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Run Docker
  5. Open Command prompt (write cmd in windows search bar)
  6. Open folder where you extracted zip archive (Write cd path_of_the_folder, press enter).
  7. Run command: docker-compose up -d
  8. Open http://localhost:8000/login

Getting started for contributors

Follow this link

CompreFace SDKs

SDKRepository
JavaScripthttps://github.com/exadel-inc/compreface-javascript-sdk
Pythonhttps://github.com/exadel-inc/compreface-python-sdk
.NEThttps://github.com/exadel-inc/compreface-net-sdk

Documentation

More documentation is available here

Contributing

We want to improve our open-source face recognition solution, so your contributions are welcome and greatly appreciated.

  • Just use CompreFace and report ideas and bugs on GitHub
  • Share knowledge and experience via posting guides and articles, or just improve our documentation
  • Create SDKs for favorite programming language, we will add it to our documentation
  • Integrate CompreFace support to other platforms like Home Assistant or DreamFactory, we will add it to our documentation
  • Contribute code
  • Add plugin to face services
  • And last, but not least, you can just give a star to our free facial recognition system on GitHub

For more information, visit our contributing guide, or create a discussion.

License info

CompreFace is open-source real-time facial recognition software released under the Apache 2.0 license.

About

Leading free and open-source face recognition system

Resources

Code of conduct

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Exadel CompreFace is a leading free and open-source face recognition system

angular-logo
Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition and is easily deployed with docker.

Official website

Contributing · Submit an Issue · Blog · Community chat

GitHub licenseGitHub contributors


Table Of Contents

Overview

Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

The system provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services.

CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace.

Screenshots

compreface-recognition-pagecompreface-dashboard-page

More Screenshots

compreface-verification-pagecompreface-detection-page

compreface-services-pagecompreface-wizzard-page

Videos

CompreFace Face Detection DemoCompreFace Appery.io Demo

More Videos

CompreFace .NET SDK DemoCompreFace JavaScript SDK Demo

News and updates

Subscribe to CompreFace News and Updates to never miss new features and product improvements.

Features

The system can accurately identify people even when it has only “seen” their photo once. Technology-wise, CompreFace has several advantages over similar free face recognition solutions. CompreFace:

  • Supports both CPU and GPU and is easy to scale up
  • Is open source and self-hosted, which gives you additional guarantees for data security
  • Can be deployed either in the cloud or on premises
  • Can be set up and used without machine learning expertise
  • Uses FaceNet and InsightFace libraries, which use state-of-the-art face recognition methods
  • Starts quickly with just one docker command

Functionalities

Getting Started with CompreFace

Requirements

  1. Docker and Docker compose (or Docker Desktop)
  2. CompreFace could be run on most modern computers with x86 processor and AVX support. To check AVX support on Linux run lscpu | grep avx command

To get started (Linux, MacOS):

  1. Install Docker and Docker Compose
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Open the terminal in this folder and run this command: docker-compose up -d
  5. Open the service in your browser: http://localhost:8000/login

To get started (Windows):

  1. Install Docker Desktop
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Run Docker
  5. Open Command prompt (write cmd in windows search bar)
  6. Open folder where you extracted zip archive (Write cd path_of_the_folder, press enter).
  7. Run command: docker-compose up -d
  8. Open http://localhost:8000/login

Getting started for contributors

Follow this link

CompreFace SDKs

SDKRepository
JavaScripthttps://github.com/exadel-inc/compreface-javascript-sdk
Pythonhttps://github.com/exadel-inc/compreface-python-sdk
.NEThttps://github.com/exadel-inc/compreface-net-sdk

Documentation

More documentation is available here

Contributing

We want to improve our open-source face recognition solution, so your contributions are welcome and greatly appreciated.

  • Just use CompreFace and report ideas and bugs on GitHub
  • Share knowledge and experience via posting guides and articles, or just improve our documentation
  • Create SDKs for favorite programming language, we will add it to our documentation
  • Integrate CompreFace support to other platforms like Home Assistant or DreamFactory, we will add it to our documentation
  • Contribute code
  • Add plugin to face services
  • And last, but not least, you can just give a star to our free facial recognition system on GitHub

For more information, visit our contributing guide, or create a discussion.

License info

CompreFace is open-source real-time facial recognition software released under the Apache 2.0 license.

About

Leading free and open-source face recognition system

Resources

Code of conduct

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

Exadel CompreFace is a leading free and open-source face recognition system

angular-logo
Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition and is easily deployed with docker.

Official website

Contributing · Submit an Issue · Blog · Community chat

GitHub licenseGitHub contributors


Table Of Contents

Overview

Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

The system provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services.

CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace.

Screenshots

compreface-recognition-pagecompreface-dashboard-page

More Screenshots

compreface-verification-pagecompreface-detection-page

compreface-services-pagecompreface-wizzard-page

Videos

CompreFace Face Detection DemoCompreFace Appery.io Demo

More Videos

CompreFace .NET SDK DemoCompreFace JavaScript SDK Demo

News and updates

Subscribe to CompreFace News and Updates to never miss new features and product improvements.

Features

The system can accurately identify people even when it has only “seen” their photo once. Technology-wise, CompreFace has several advantages over similar free face recognition solutions. CompreFace:

  • Supports both CPU and GPU and is easy to scale up
  • Is open source and self-hosted, which gives you additional guarantees for data security
  • Can be deployed either in the cloud or on premises
  • Can be set up and used without machine learning expertise
  • Uses FaceNet and InsightFace libraries, which use state-of-the-art face recognition methods
  • Starts quickly with just one docker command

Functionalities

Getting Started with CompreFace

Requirements

  1. Docker and Docker compose (or Docker Desktop)
  2. CompreFace could be run on most modern computers with x86 processor and AVX support. To check AVX support on Linux run lscpu | grep avx command

To get started (Linux, MacOS):

  1. Install Docker and Docker Compose
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Open the terminal in this folder and run this command: docker-compose up -d
  5. Open the service in your browser: http://localhost:8000/login

To get started (Windows):

  1. Install Docker Desktop
  2. Download the archive from our latest release: https://github.com/exadel-inc/CompreFace/releases
  3. Unzip the archive
  4. Run Docker
  5. Open Command prompt (write cmd in windows search bar)
  6. Open folder where you extracted zip archive (Write cd path_of_the_folder, press enter).
  7. Run command: docker-compose up -d
  8. Open http://localhost:8000/login

Getting started for contributors

Follow this link

CompreFace SDKs

SDKRepository
JavaScripthttps://github.com/exadel-inc/compreface-javascript-sdk
Pythonhttps://github.com/exadel-inc/compreface-python-sdk
.NEThttps://github.com/exadel-inc/compreface-net-sdk

Documentation

More documentation is available here

Contributing

We want to improve our open-source face recognition solution, so your contributions are welcome and greatly appreciated.

  • Just use CompreFace and report ideas and bugs on GitHub
  • Share knowledge and experience via posting guides and articles, or just improve our documentation
  • Create SDKs for favorite programming language, we will add it to our documentation
  • Integrate CompreFace support to other platforms like Home Assistant or DreamFactory, we will add it to our documentation
  • Contribute code
  • Add plugin to face services
  • And last, but not least, you can just give a star to our free facial recognition system on GitHub

For more information, visit our contributing guide, or create a discussion.

License info

CompreFace is open-source real-time facial recognition software released under the Apache 2.0 license.

About

Leading free and open-source face recognition system

Resources

Code of conduct

Contributing

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages