Open Source Windows Facial Recognition Software
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Facial Recognition Software for Windows
View 25 business solutionsBrowse free open source Facial Recognition software and projects for Windows 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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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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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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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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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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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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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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Store Management System
system which works as electronic notebook for keeping records...
Visit our site given below for the LATEST UPDATE and guide for use of store management system on https://tmotagam.github.io/ Shop management system which works as electronic notebook it keeps data about sales and also of products it has Point of sale backups and inventory system WHAT`S NEW: Added New Icon We have launched new project FTPT for sharing your files with your teams using ftp go check it out LINK https://sourceforge.net/projects/ftpt/ We have launched new project Tahafacex for attendance systems using face recognition technology. A great and easy to use interface, can be used in any environment from business to schools to colleges go check it out LINK https://sourceforge.net/projects/tahafacex/ -
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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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Face Recognition Based Login Assistant
Login to Websites Automatically Using Your Face as Password
Face detection can be regarded as a more general case of face localization. In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information. Face detection is mostly used along with facial recognition feature to extract faces out of an image or video feed and identify the faces against a set of stored images. This feature can be used for tracking prisoners, attendance and signing in to user accounts. The Viola - Jones Algorithm presents a novel face detection technique, we would implement this technique for face detection and then use eigen faces method to recognize the person in the image. Once recognized the person can easily sign in to any applications without the need of typing passwords or usernames. -
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The OpenCV DLLCapture project goal is to provide an easy way for using the Intel OpenCV library face recognition feature within custom built applications.
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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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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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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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Compression of face images impact the performance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintains high image quality in facial regions while compressing the background more, with minimal impact on FR performance.
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Vision2u
free image processing software
Vision2u offers a free image processing software for personal use and research. Primary tasks of the image processing can be realized during simple operation of the software. Every Web cam owner can have simplest measuring, counting or tasks of monitoring done without high capital outlays. -
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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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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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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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Delphi Face Recognition March_01_2019
Delphi Face Recognition
Donate $108 for FULL source code of the project. Donate and message or mail at dbinxecod@gmail.com RTSP url link updated BUG FIXED! MEMORY LEAK! ADDED 64BIT + TBB HARD BOILED FACE RECOGNITION: https://sourceforge.net/projects/delphi-face-recognizer/ Gate ID Multi Face Recognition: $384 https://sourceforge.net/projects/opencv-multi-face-detect/ Delphi Face Detection: FREE Source code! https://sourceforge.net/projects/delphi-opencv-face-detection/ Works on IP Camera using RTSP. Runs on Windows XP to Windows 10 using SQLite Dataface! You can reprogram / setup / configure / scale the Face Recognition accuracy! C++Builder Face Recognition: FREE source code of single FR. https://sourceforge.net/projects/c-builder-face-recognition/ C++Builder Face Detection: FREE Source code https://sourceforge.net/projects/cbuilder-opencv-face-detection/ Technical Support is always online -
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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/
