Topic: face-identification Goto Github
Some thing interesting about face-identification
Some thing interesting about face-identification
face-identification,An End to End Real Time Face Identification and attendance system using CNN
User: aashishrai3799
face-identification, Identify unknown persons that are not registered and stores their images with current date and time.
User: aishmittal
face-identification,It is an Face Identification based automatic attendance management system which will be useful taking attendance during online lecture.
User: aishmittal
face-identification,FRI (Face Recognition and Identification)
User: aliyevorkhan
face-identification,This Repository about some mini project about deep learning. likes Face Identification ...
User: amiralihakimiyan
face-identification,Code for CVPR 2022 https://arxiv.org/abs/2112.04016 DeepFace-EMD Re-ranking Using Patch-wise Earth Movers Distance Improves Out-Of-Distribution Face Identification
User: anguyen8
face-identification,
Organization: ariesiitroorkee
face-identification,Face recognition and identification using Haar cascades classifier and VGG-Face model
User: artemi8
face-identification,Facial Keypoint Detection and Real-time Filtering
User: ashishpatel26
face-identification,Step 1 : Register your Face : A. Take a video of few seconds of your face. B. Create samples of images from Video to train Convolutional Neural Network. C. Train the model with those images (class = 'YES') and some images that is not your face (class = 'NO') D. Convert the model output (.h5) into .mlmodel E. import it into your Xcode for Production. Step 2 : Next Time while log in A. Take image from Camera B. Give the image to CNN for calssification. C. If it's you then "Successful Log in" D. Other-wise show some pop-up like "It's not you"
User: ashislaha
face-identification,
User: bariarviv
face-identification,BWS HTML5 Unified User Interface
Organization: bioid-gmbh
face-identification,Face identification with cnn+triplet-loss written by Keras.
User: bruceyang2012
face-identification,Sample projects for Computer Vision with Raspberry Pi and Movidius Neural Compute Stick
User: danhdoan
face-identification,In this thesis, we study two problems based on clustering algorithms. In the first problem, we study the role of visual attributes using an agglomerative clustering algorithm to whittle down the search area where the number of classes is high to improve the performance of clustering. We observe that as we add more attributes, the clustering performance increases overall. In the second problem, we study the role of clustering in aggregating templates in a 1:N open set protocol using multi-shot video as a probe. We observe that by increasing the number of clusters, the performance increases with respect to the baseline and reaches a peak, after which increasing the number of clusters causes the performance to degrade. Experiments are conducted using recently introduced unconstrained IARPA Janus IJB-A, CS2, and CS3 face recognition datasets.
User: dhingratul
Home Page: https://arxiv.org/abs/1704.08328
face-identification,Leading free and open-source face recognition system
Organization: exadel-inc
Home Page: https://exadel.com/accelerator-showcase/compreface/
face-identification,Get ready to activate Secure Access! This app uses face recognition and tracking on live video feed to only allow access to authorized personnel to access a device or premises.
User: haiderabasi
face-identification,A simple Golang library for identifying human faces, based on https://github.com/Kagami/go-face.git but with support for ID identification with generic data types
User: irdaislakhuafa
Home Page: https://github.com/irdaislakhuafa/go-identiface
face-identification,The purpose of this Android app is to use Kairos's SDK for Android in order to implement facial recognition. Features of this app include: registering users with an image and name and identifying users when given an image.
User: ishaanjav
face-identification,Face recognition, tackling three different "old-school" Computer Vision techniques - as part of the Biometrics System Concepts course @ KU Leuven
User: ivonajdenkoska
face-identification,Face Identification using ONNX Runtime
User: jahongir7174
face-identification,A simple deepinsight/insightface implementation with FastAPI for face verification.
User: jeremyleonardo
face-identification,Face Recognition (Identification) for Android Devices. Used Firebase ML Kit Face Detection for detecting faces, then applied arcface MobileNetV2 model for recognition
User: joonb14
face-identification,中科院软件所XLab的机器人UI交互模块
User: lazyparser
Home Page: https://github.com/lazyparser/weloveinterns/wiki/
face-identification,Application for finding the most similar person to you among known celebrities, politicians etc.
User: lukaszkepka
face-identification,Proiect licenta
User: m-doru
face-identification,Heavily focused on real-time face detect not on the image and many times face capturing and acquired face detection to unlock the web app login.
User: mahavishnup
Home Page: https://whispering-reaches-36797.herokuapp.com/
face-identification,A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
User: martlgap
Home Page: https://martlgap.github.io/
face-identification,Machine Learning model which uses kNN Algorithm & Computer Vision to recognise different faces
User: matakshay
face-identification,Implement a face recognition using insightface
User: matin-ghorbani
face-identification,🧠 NeuroFace is a Python framework containing tools for detection, human face recognition, analysis of human facial expressions and gestures on video.
User: mdvdv
Home Page: https://github.com/mdvdv/neuroface
face-identification,This is the world first repository which describes full solutions for Physical Access Control System containing from hardware design, Face Recognition & Face Liveness Detection (3D Face Passive Anti-spoofing) model to deployment for device. Can be applied to face recognition based smart-lock or similar solution easily.
Organization: miniailive
Home Page: https://www.miniai.live/
face-identification,
User: ozturkgamze
face-identification,
Organization: packetcode
face-identification,An University Project for the AI4Cybersecurity class.
User: pepealessio
face-identification,Real time face Identification using opencv on python (Python'da opencv kullanarak gerçek zamanlı yüz tanıma )
User: rabiadagdemir
face-identification,NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof) Android SDK Demo ☑️ Face Recognition ☑️ Face Liveness Detection ☑️ Face Pose Estimation
Organization: recognito-vision
Home Page: https://recognito.vision/
face-identification,NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof) iOS SDK Demo ☑️ Face Recognition ☑️ Face Liveness Detection ☑️ Face Pose Estimation
Organization: recognito-vision
Home Page: https://recognito.vision/
face-identification,NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Linux Server SDK Demo ☑️ Face Recognition ☑️ Face Liveness Detection ☑️ Face Attribute Analysis
Organization: recognito-vision
Home Page: https://recognito.vision/
face-identification,NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Windows Server SDK Demo ☑️ Face Recognition ☑️ Face Liveness Detection ☑️ Face Attribute Analysis
Organization: recognito-vision
Home Page: https://recognito.vision/
face-identification,Detect, recognize and verify faces using hybrid features: “deep” features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly
User: saravanabalagi
face-identification,Open DRUWA - Open Deep Realtime User Welcoming Assistant
User: seonghobaek
face-identification,얼굴 인식에 대한 기술 동향 및 관련 모델 자료
User: seriousran
face-identification,Intro and sample apps to showcase oneML functionalities and possible use cases: Face Detection, Face Identification, Face Embedding, Vehicle Detection, EKYC, Person Attack Detection.
Organization: sertiscorp
face-identification,This series of workshops on various services is created to help you gain expertise on Azure cognitive and ML Services. You will be able to explore each functionality offered by the service through the GUI & REST APIs and observe the outcomes. We have also shared sample datasets related to each service to replicate what we have built in our workshops. Once you complete these labs, you’ll go from Zero to Hero on the respective service and should be able to Demo, Develop and Deploy your own custom use cases.
User: shivatomar2183
face-identification,A collection of face related papers
User: shownx
face-identification,Face identification algorithms focus on the identifiction of frontal human faces. It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process. It's mostly use for the security.
User: smitshah2206
face-identification,A gui implementation of face recognition, emotion tracking and face searching
User: spycsh
face-identification,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
User: timesler
face-identification,One-shot face identification using deep learning
User: tomasmikeska
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