Topic: facenet-trained-models Goto Github
Some thing interesting about facenet-trained-models
Some thing interesting about facenet-trained-models
facenet-trained-models,A simple implementation of facial recognition using facenets for humans 🧔 🔍
User: akshaybahadur21
facenet-trained-models,
User: amit988684
facenet-trained-models,Smart attendance Desktop app built using facenet pr-trained model
User: bethelhall
facenet-trained-models,WYNA is a tiny bot asking your name and remembers your face and your name on next encounter
User: birddevelper
facenet-trained-models,A Face Recognition using tensorflow. This code was copied from https://github.com/habrman/FaceRecognition/ and modified into an api to recognize faces of some celebrities
User: bluedistro
facenet-trained-models,Automated registrations for meetups and events. Makes way for a constant and smooth flow for crowded events.
User: darpan-jain
facenet-trained-models,Face-Login project. This Project is based on facenet deep learning model, When a user wants to Signup it will click the photo of the user by the webcam, on which the model is trained. The user has to enter a unique username and email address on the page and the encodings of the image captured are mapped onto the username and stored in the database. While login User will enter a username and the webcam will automatically detect the user's face and will compare the face encodings with those present in the database. If the face encodings match, then the user is logged in
User: durgeshmeena
facenet-trained-models,Attendance System using Open Face Model and Support Vector Machine
User: farhantandia
facenet-trained-models,A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is standing in front of him or not.
User: fazevaib
facenet-trained-models,Who is your doppelgänger and more with Keras face recognition
User: golbstein
facenet-trained-models,Face Recognize application. Using FaceNet and CoreML
User: hosituan
facenet-trained-models,This project can detect a person and also recognize after trained on very limited data using Convolutional Nueral Network.
User: imran789924
facenet-trained-models,This project uses Convolutional Neural Network to detect a person's face Using HAR feature. Then the person can be also recognized even if it was trained on only 1 image.
User: imran789924
facenet-trained-models,Created a Distributed platform that provides face recognition based automatic attendance at a scheduled time. The platform also keeps track of the details like for how many hours was a person present . Hence provides a solution for institutes for marking attendance of the students automatically at the scheduled time and for the organizations to keep track entry and exit of the employees and hence stores the time they were inside the office no matter if they had left the office n number of times. We Also provide a query manager service that can be used to get the attendance results with different search filters created a platform that provides face recognition based automatic attendance at the scheduled time. The platform also keeps track of the details like for how many hours was a person present . Hence provides a solution for institutes for marking attendance of the students automatically at the scheduled time and for the organizations to keep track entry and exit of the employees and hence stores the time they were inside the office no matter if they had left the office n number of times. We Also provide a query manager service which can be used to get the attendance results with different search filters
User: jeeveshkataria
facenet-trained-models,Provide facenet training model download, regularly updated
User: jyil
facenet-trained-models,Detecting the human subject other than the family members through the CCTV footage and alerting the house owner through the mail.
User: madhan-kumar-selvaraj
Home Page: https://madhankumarselvaraj.blogspot.com/2020/04/detecting-stranger-through-cctv-camera.html
facenet-trained-models,Face verification and Face Recognition by mapping face images to a 128-dimensional encodings.
User: manankshastri
facenet-trained-models,A web app that authorizes a user with their face.
User: mmoderwell
Home Page: https://auth.mmoderwell.com
facenet-trained-models,Real time face recognition Using Facenet , pytorch, Tensorflow
User: naemazam
facenet-trained-models,Face Recognition using FaceNet
User: pauldamsa
facenet-trained-models,Python application for face detection and recognition using various algorithms.
User: pawelptak
facenet-trained-models,A Flask Rest API to register face to database and verification
User: ravip18596
facenet-trained-models,This is a modern Face Authentication System which includes state-of-art algorithms to detect face and generate face embedding. This system contains endpoints which can be integrated to any device depending on the requirements.
User: rishav-hub
facenet-trained-models,Face Recognition and Classification Using FaceNet and MTCNN
User: saadhaxxan
facenet-trained-models,This is a self mini project that I undertook for my learning process. I have taken an episode from my favourite TV series called The Office (US) S06E01. Using this episode I have extracted images & using those images I have classified 17 characters using CV2 and Facenet Model.
User: sachink1729
facenet-trained-models,Detection and recognition of a person in real time live video sequences.
User: srikanthkb
facenet-trained-models,Face recognition pipeline based on Facenet and MTCNN including image preprocessing (denoise, dehazing,...) with image augmentation techniques
User: transybao1393
facenet-trained-models,
User: urikh
facenet-trained-models,<NOT ACTIVELY MAINTAINED>A light weight face recognition implementation using a pre-trained facenet model
User: vinayakarannil
facenet-trained-models,This 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.
Organization: weblineindia
Home Page: https://www.weblineindia.com/software-development-resources.html
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