A very Simple GUI APP for Face Detection and Recognition
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Updated
Nov 22, 2022 - Python
A very Simple GUI APP for Face Detection and Recognition
Face Recognition Security
Identify faces from video and images using OpenCV and Deep Learning
A simple, modern and scalable facial recognition based attendance system built with Python back-end & Angular front-end.
Python SDK for CompreFace - free and open-source face recognition system from Exadel
A face recognition based attendance system
Implementation of PCA/2D-PCA/2D(Square)-PCA in Python for recognizing Faces: 1. Single Person Image 2. Group Image 3. Recognize Face In Video
A Face Recognition Siamese Network implemented using Keras. Siamese Network is used for one shot learning which do not require extensive training samples for image recognition.
Python package that implements Eigenfaces (face recognition) from scratch. It supports interaction with the webcam.
Face recognition using python sanic
Face recognition with VGG face net in Tensorflow and Keras python.Trained in Colab.
Final Year college Face Detection Project with Project Report, Project PPT, Research Paper and Synopsis.
This Face Recognition project detects faces and places a frame around them and identifies the face based on those in a given list. It works by analyzing a photo and comparing it to the faces in the list to determine if it is a match or if it is an unknown identity.
A client-server application for face recognition using Jitsi and face_recognition package.
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.
Minimal API for face recognition.
Real Time Face Recognition with Python and OpenCV2, Create Your Own Dataset and Recognize that. #FreeBirdsCrew
Face Recognition Door Lock and Unlock System.
A program that cuts and collects only the scenes where my star is in the video / 영상에서 최애가 나온 장면만 잘라내어 모아주는 프로그램
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.
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