FaceLivenessDetection-SDK3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).
Stars: ✭ 85 (+21.43%)
ar-resume-with-visual-recognitionAn augmented reality based résumé with Face recognition. The iOS app recognizes the face and presents you with the AR view that contains 3D mock face and details of your resume.
Stars: ✭ 71 (+1.43%)
FaceNet-based-Attendance-SystemDeep Learning based Web Application for marking attendance of students by recognizing the student's faces from the surveillance video footage of classroom.
Stars: ✭ 25 (-64.29%)
zed facezedboard上基于FPGA+ARM的人脸识别智能监控系统。关键词:linux,zedboard,arm,fpga,人脸检测,人脸识别。
Stars: ✭ 38 (-45.71%)
Deep-Learning-with-GoogleColabDeep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.
Stars: ✭ 63 (-10%)
Attendance-PortalWe have developed a cutting-edge attendance recorder. Using face recognition, you can easily record attendance and have access to in-depth analysis and a wide range of functionalities. Because of the covid-19 pandemic, stringent guidelines have been established, and precautions must be made to minimise unnecessary physical encounters. As a resul…
Stars: ✭ 20 (-71.43%)
Look4FaceDemo of Face Recognition web service
Stars: ✭ 23 (-67.14%)
megaface-evaluationA Simple Tool to Evaluate Your Models on Megaface Benchmark Implemented in Python and Mxnet
Stars: ✭ 34 (-51.43%)
lbphLocal Binary Patterns Histograms (LBPH) implementation in Go
Stars: ✭ 50 (-28.57%)
Face-Recognition-SystemIntelligent Facial Recognition with Django Restful IoT on Raspberry Pi
Stars: ✭ 46 (-34.29%)
PassFaceFace recognizing program develop using EmguCV (OpenCV wrapper). It is possible to use 4 different algorithm and 3 different source(Camera, Video, Image)
Stars: ✭ 38 (-45.71%)
Computer-Vision-ProjectThe goal of this project was to develop a Face Recognition application using a Local Binary Pattern approach and, using the same approach, develop a real time Face Recognition application.
Stars: ✭ 20 (-71.43%)
pigalleryPiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging
Stars: ✭ 35 (-50%)
Face-RecognitionMachine Learning project to recognise faces from an Image just like facebook or video stream
Stars: ✭ 95 (+35.71%)
T Systemthe moving objects tracking system via two axis camera motion (and as optionally n joint robotic arm) for raspberry pi distributions
Stars: ✭ 17 (-75.71%)
bearidHypraptive BearID project. FaceNet for bears.
Stars: ✭ 34 (-51.43%)
CS-663Assignment Codes for CS663 Digital Image Processing
Stars: ✭ 15 (-78.57%)
ASSERTJHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with Squeeze-Excitation and Residual neTworks (ASSERT).
Stars: ✭ 50 (-28.57%)
AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Stars: ✭ 48 (-31.43%)
WhoAreYouFace detection and recognition with CoreML and ARKit
Stars: ✭ 91 (+30%)
AISecurityCameraA simple Security Camera example which detects motion and perform face recognition
Stars: ✭ 27 (-61.43%)
age-and-genderPredict Age and Gender of people from images | Determination of gender and age
Stars: ✭ 68 (-2.86%)
MachineLearningโค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]
Stars: ✭ 28 (-60%)
WreckFaceAppAndroid application for gender, age and face recognition using OpenCV and JavaCV libraries
Stars: ✭ 21 (-70%)
Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Stars: ✭ 54 (-22.86%)
face-recognition🙂 An OpenCV application that can detect & recognize your face in real-time
Stars: ✭ 13 (-81.43%)
Face-Recognition-AttendanceFace recognition using OpenCV and developed Advance high speed Attendance System on old CCTV footage
Stars: ✭ 19 (-72.86%)
uploadcare clientA flutter library for working with Uploadcare REST API. File uploads, media processing, and adaptive delivery for web and mobile.
Stars: ✭ 14 (-80%)
double-takeUnified UI and API for processing and training images for facial recognition.
Stars: ✭ 585 (+735.71%)
RealSenseIDIntel® RealSense™ ID SDK
Stars: ✭ 67 (-4.29%)
face[deprecated] 👽 Face Recognition package for Laravel
Stars: ✭ 37 (-47.14%)
DLCV2018SPRINGDeep Learning for Computer Vision (CommE 5052) in NTU
Stars: ✭ 38 (-45.71%)
ElasticFaceOfficial repository for ElasticFace: Elastic Margin Loss for Deep Face Recognition
Stars: ✭ 86 (+22.86%)
Recognize-Face-on-AndroidThis is an Android face recognize application that based on tensorflow , you can develop it with Android Studio
Stars: ✭ 20 (-71.43%)
ASVspoof2019 systemD3M - Dynamic Data Discrepancy Mitigation for Anti-spoofing - Implementation of work Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection
Stars: ✭ 22 (-68.57%)
tryonfaceSimple video-based eyewear virtual try on
Stars: ✭ 57 (-18.57%)
lite.ai.toolkit🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.
Stars: ✭ 1,354 (+1834.29%)
shunyafaceFast Face Recognition on the edge
Stars: ✭ 49 (-30%)
deepvisualminerDeep visual mining for your photos and videos using YOLOv2 deep convolutional neural network based object detector and traditional face recognition algorithms
Stars: ✭ 21 (-70%)
Face-XDemonstration of different algorithms and operations on faces. Join the Discord channel for discussion.
Stars: ✭ 226 (+222.86%)
Smart-BellIoT based face recognition security system
Stars: ✭ 30 (-57.14%)