Thesis: Face Recognizer
-
Updated
Jan 3, 2017 - Python
Thesis: Face Recognizer
A simple module to detect faces from an image URL or file (path)
Face recognizing program develop using EmguCV (OpenCV wrapper). It is possible to use 4 different algorithm and 3 different source(Camera, Video, Image)
Face Recognition using Haar-Cascade Classifier, OpenCV, Python and an Ip Camera for a project class "Smart Home"
OpenCV and WebSocket server.
The aim of this project is to make a computer program to detect detects human faces in images and then predicts the gender based on the image. For that, the special algorithm is trained on a dataset of images of girls and boys. After training, the algorithm can predict the gender of a person just by observing his/her face.
Face Recognization with dlib,mkl(or opbenblas in some branches),avx and falcon framework.
Local Binary Patterns Histograms (LBPH) implementation in Go
An AI base face recognizer in public from a video or directly from a webcam
Code to identify face and draw a rectangle on the face with the name of the person above that
Multi-view face recognition, face cropping and saving the cropped faces as new images on videos to create a multi-view face recognition database.
Realtime Face Recognition from Webcam Feeds
A face recognition application using face-recognition and opencv-python library.
Tracking staff activities with multiple camera support by using yolo for the head, and using dlib for face recognition.
Серверная часть платформы для подбора контента
Face Recognition Security
Add a description, image, and links to the face-recognizer topic page so that developers can more easily learn about it.
To associate your repository with the face-recognizer topic, visit your repo's landing page and select "manage topics."