Minimal API for face recognition.
A web api for face recognition with Flask
Very Concise code of face recognition using OPENCV library.
Facial recognition system with pytorch
This is very simple own face recognition program built using a simple face_recognition command line tool. This face recognition model is built using dlib’s state-of-the-art face recognition built with deep learning.
A program that watches your back while working on your pc and locks the screen if it sees some1 unauthorized watching at your work- thus protects your valuable work or sometimes saves the personality.
Recognizing faces in images as well as in videos using OpenCV
Smart Surveillance System Using OpenCV in Raspberry Pi
Face Detection and Recognition using Python and Dlib
A program that cuts and collects only the scenes where my star is in the video / 영상에서 최애가 나온 장면만 잘라내어 모아주는 프로그램
This project is to write a code using OpenCV-python in windows system to detect faces from live video or images.
This Project was made for the purpose of taking attendance by face recognition, I used several Python3 libraries to obtain a system to track attendance by face recognition.
Teotl is a service to provides functions for the detection and comparison of faces in images via base64 and via multipart.
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.
A sample project for face recognition and management of faces.
Face Recognotion System with Python . Creating dataset which contain face data , train that data and face recognotion on pc cam .
Face Recognition project built in Python with OpenCV and dlib Face Recognition.
A client-server application for face recognition using Jitsi and face_recognition package.
The project presents a unsupervised learning framework which can learn and recognize human faces. A face can be described using a set of 2D characterisitic views. The "eigen faces" or eigen vectors of the training images are used to define a face space. The images are projected onto this face space that also encodes the variation amongst the kno…
Software Engineering course project, Smart Attendance System using Face Recognition and OpenCV
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