Open Source Linux Facial Recognition Software
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Facial Recognition Software for Linux
View 25 business solutionsBrowse free open source Facial Recognition software and projects for Linux below. Use the toggles on the left to filter open source Facial Recognition software by OS, license, language, programming language, and project status.
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Loan management software that makes it easy.Bryt Software is ideal for lending professionals who are looking for a feature rich loan management system that is intuitive and easy to use. We are 100% cloud-based, software as a service. We believe in providing our customers with fair and honest pricing. Our monthly fees are based on your number of users and we have a minimal implementation charge.
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Inventory and Order Management Software for Multichannel SellersWe are the most powerful inventory and order management platform for Amazon, Walmart, and multichannel product sellers. Centralize orders, product information, and fulfillment operations to run more efficiently, sell more products, and stay compliant with marketplace requirements so you can grow profitably.
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InsightFace
State-of-the-art 2D and 3D Face Analysis Project
State-of-the-art deep face analysis library. InsightFace is an open-source 2D&3D deep face analysis library. InsightFace is an integrated Python library for 2D&3D face analysis. InsightFace efficiently implements a wide variety of state-of-the-art algorithms for face recognition, face detection, and face alignment, which are optimized for both training and deployment. Research institutes and industrial organizations can get benefits from InsightFace library. -
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VGGFace2
VGGFace2 Dataset for Face Recognition
VGGFace2 is a large-scale face recognition dataset developed to support research on facial recognition across variations in pose, age, illumination, and identity. It consists of 3.31 million images covering 9,131 subjects, with an average of over 360 images per subject. The dataset was collected from Google Image Search, ensuring a wide diversity in ethnicity, profession, and real-world conditions. It is split into a training set with 8,631 identities and a test set with 500 identities, making it suitable for benchmarking and large-scale model training. Alongside the dataset, the repository provides pre-trained models based on ResNet-50 and SE-ResNet-50 architectures, trained with both MS-Celeb-1M pretraining and fine-tuning on VGGFace2. These models achieve strong verification performance on benchmarks such as IJB-B and include variants with lower-dimensional embeddings for compact feature representation. The project also includes preprocessing tools, face detection scripts, and etc. -
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FaceRecognitionDotNet
The world's simplest facial recognition api for .NET on Windows, MacOS
The world's simplest facial recognition API for .NET on Windows, MacOS, and Linux. -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. It could even do real-time face recognition and blur faces on videos when used with other Python libraries. -
Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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Photonix Photo Manager
A modern, web-based photo management server
A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms. This project is currently in development and not feature complete for a version 1.0 yet. If you don't mind putting up with broken parts or want to help out, run the Docker image and give it a go. I'd love for other contributors to get involved. You can move some photos into the folder data/photos and they should get detected and imported immediately. Once you have finished trying out the system you can edit the volume in the docker-compose.yml file where it says ./data/photos to mount wherever you usually keep photos. System database, thumbnails and other cache data is stored separately from the photos so shouldn't pollute the area. You are responsible for keeping your own backups in case of error. -
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OpenFace Face Recognition
Face recognition with deep neural networks
OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the Conklin Kistler family fund. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources. Accuracies from research papers have just begun to surpass human accuracies on some benchmarks. The accuracies of open source face recognition systems lag behind the state-of-the-art. See our accuracy comparisons on the famous LFW benchmark. -
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Computer Vision
Best Practices, code samples, and documentation for Computer Vision
In recent years, we've see an extra-ordinary growth in Computer Vision, with applications in face recognition, image understanding, search, drones, mapping, semi-autonomous and autonomous vehicles. A key part to many of these applications are visual recognition tasks such as image classification, object detection and image similarity. This repository provides examples and best practice guidelines for building computer vision systems. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in Computer Vision algorithms, neural architectures, and operationalizing such systems. Rather than creating implementations from scratch, we draw from existing state-of-the-art libraries and build additional utility around loading image data, optimizing and evaluating models, and scaling up to the cloud. -
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OpenKYC - FaceOnLive Community Project
FaceOnLive Open KYC: Streamlining Identity Verification with AI
Immerse yourself in the groundbreaking realm of the FaceOnLive Open KYC Project, a trailblazing endeavor at the forefront of redefining identity verification paradigms. With a commitment to leveraging the latest advancements in biometric technology, our platform presents a comprehensive solution encompassing cutting-edge features such as face recognition, face liveness detection, and ID document recognition. By seamlessly integrating these powerful tools, we empower businesses across industries to streamline their KYC processes with unparalleled accuracy and efficiency. At the heart of our initiative lies an open-source UI flow, meticulously designed to provide users with an intuitive and seamless experience throughout the identity verification journey. From effortlessly capturing ID documents to conducting robust selfie liveness checks, our platform offers a user-friendly interface that prioritizes both security and convenience. -
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PRISH OS is custom os based on latest J6 Q update with ONEUI 2 for Exynos 7870 Powered devices ported and maintained by NEEL0210 and team.
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Exadel CompreFace
Leading free and open-source face recognition system
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, face mask detection, landmark 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. Official website: https://exadel.com/solutions/compreface/ Github link: https://github.com/exadel-inc/CompreFace -
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Blazeface
Blazeface is a lightweight model that detects faces in images
Blazeface is a lightweight, high-performance face detection model designed for mobile and embedded devices, developed by TensorFlow. It is optimized for real-time face detection tasks and runs efficiently on mobile CPUs, ensuring minimal latency and power consumption. Blazeface is based on a fast architecture and uses deep learning techniques to detect faces with high accuracy, even in challenging conditions. It supports multiple face detection in varying lighting and poses, and is designed to work in real-world applications like mobile apps, robotics, and other resource-constrained environments. -
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EMGU Face Recognition
Using EMGU to perform Principle Component Analysis (PCA)
This article is designed to be the first in several to explain the use of the EMGU image processing wrapper. For more information on the EMGU wrapper please visit the EMGU website. You will start with 3 warnings for the references not being found. Expand the References folder within the solution explorer delete the 3 with yellow warning icons and Add fresh references to them. Face Recognition has always been a popular subject for image processing and this article builds upon the good work by Sergio Andrés Gutiérrez Rojas and his original article (codeproject). The reason that face recognition is so popular is not only it’s real world application but also the common use of principle component analysis (PCA). PCA is an ideal method for recognising statistical patterns in data. The popularity of face recognition is the fact a user can apply a method easily and see if it is working without needing to know to much about how the process is working. -
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MediaPipe Face Detection
Detect faces in an image
The MediaPipe Face Detection model is a high-performance, real-time face detection solution that uses machine learning to identify faces in images and video streams. It is optimized for mobile and embedded platforms, offering fast and accurate face detection while maintaining a small memory footprint. This model supports multiple face detections and is highly efficient, making it suitable for a variety of applications such as augmented reality, user authentication, and facial expression analysis. -
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Delphi Face Detection
Delphi face detection
Delphi Face Detection Live Web Camera Delphi Face Recognition: https://sourceforge.net/projects/delphi-face-recognition/ For Live: Face Attendance System, Facial Emotion, Gender Recognition Security Application. Ethnicity/Nationality Recognition(Maybe Soon) Age? Works on IP Camera using RTSP. Runs on Windows XP to Windows 10 Available on MsAcceSS or SQLite Dataface! Depending on Request! You can reprogram / setup / configure / scale the Face Recognition accuracy! C++Builder Face Detection: FREE Source code! https://sourceforge.net/projects/cbuilder-opencv-face-detection/ C++Builder Face Recognition: https://sourceforge.net/projects/c-builder-face-recognition/ Technical Support is always online, thank you -
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Face Detect (JavaCV)
Face Detection and Facial Feature Extraction using JavaCV
A simple Face detection program using JavaCV and OpenCV . Implementing facial feature extraction and face recognition. -
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Accord.Net Face Detection Recognition
Accord.Net Face Detection Recognition
The most simplest clean hard core code for Accord.Net Face Detection with Face Cropping in Cs Vb for **** FACE RECOGNITION **** using Accord.Net like the first screenshot contact dbinxecod@gmail.com Full source code ahead for face recognition using Accort.Net Donate for $108 then you'll get the full source code! Please see screen shot of face recognition via Accord.NET -
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C++Builder Face Recognition March01_2019
C++Builder Face Recognition
RTSP url link updated Donote $108 for FULL source code of the project. BUG FIXED! MEMORY LEAK! ADDED 64_BIT + TBB HARD BOILED FACE RECOGNITION: https://sourceforge.net/projects/cbuilder-face-recognizer/ page not found for hard core c++Builder, contact author! https://sourceforge.net/projects/delphi-face-recognizer/ C++Builder Face Detection: FREE Source code! https://sourceforge.net/p/cbuilder-opencv-face-detection/ For Live: Face Attendance System, Facial Emotion, Gender Recognition Works on IP Camera using RTSP. ---> After you Donate, message or mail at dbinXecod@gmail.com ---> Runs on Windows XP to Windows 10 using SQLite Dataface! You can reprogram / setup / configure / scale the Face Recognition accuracy! Delphi Face Detection: FREE Source code! https://sourceforge.net/projects/delphi-opencv-face-detection/ Delphi Face Recognition: https://sourceforge.net/projects/delphi-face-recognition/ Technical Support is always online -
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Liveliness and Face Identification
Leading free and open-source liveliness check &face recognition system
This is a free and open-source liveliness check and face recognition project. Essentially, it is an 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. The application is customizable react based mobile friendly UI and Python based backend. The program is a real-time face detection application. It allows you to detect faces using your webcam and displays the video feed with oval drawn around the detected faces. When you run the program, a GUI window will appear. The window appears to do liveliness check and face detection. The description guides you to adjust the settings and click the "Start" button to begin face detection. If user's pic is in DB, it will show the matching name or else you can upload your pic with name to do detection. Application has many uses like door lock, attendance system or any similar identification usages. Face Recognition is highly accurate and simplest application -
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Meihu-FaceBeauty-Live
Beauty can be applied to live broadcasts, short videos, and selfies
Meihu beauty sdk is a mobile sdk with face recognition technology as the core, providing professional-grade real-time beauty, big eyes and face reduction, beauty filters, dynamic stickers and other filters, to create a multi-functional video beauty software The goal is to fully meet the beautification needs of customers in many audio and video software business scenarios such as live beauty and short video beauty. The open source version is now available for iOS, and the Android open source version is under development, so stay tuned! -
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Delphi Face Recognizer
Delphi Face Recognizer
Delphi Face Recognizer Full Source code of ListBox Bitmap Load and Save from SQLite Database. Binary contains Delphi powerful face recognition. Donate $184 for FULL SOURCE CODE of the Project. mail: dbinXecod@gmail.com if the link is broken here: https://www.paypal.me/dBinXecod/184 Added Feature: X. IP Camera RTSP Connections Real RTSP url link test Real MJPEG url link test Y. Capture faces from Video File Last bug FIXED April_08_2019_12.24pm, X. Recognized Faces Better Bug fixes: xxx Gate ID Multi Face Recognition: $384 (via this HARDCORE Face Recognition) https://sourceforge.net/projects/opencv-multi-face-detect/ C++Builder: https://sourceforge.net/projects/cbuilder-face-recognizer/ -
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Bush Face Recognition
Face recognition using OpenCV
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C++Builder with OpenCv345 face detect
C++Builder face detection
Embarcadero C++ Builder Face Detection FREE Source Code! Delphi and C++Builder FACE RECOGNITION,.... here: C++Builder: https://sourceforge.net/projects/c-builder-face-recognition/ Delphi: https://sourceforge.net/projects/delphi-face-recognition/ -
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