Scripts for object detection, license plate detection and face detection
Video face detection and face masking is done with dlib's HOG face detector trained on the ibug 300-W dataset.
Face Recognotion System with Python . Creating dataset which contain face data , train that data and face recognotion on pc cam .
Programs: Assorted Code in Various Languages
A Facial recognition site to recognize faces from data present in dataset.
Primitive face encoding tts toy
The aim of this project is how to use face as an authentication system for an attendance system
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.
Trying all the techniques of face recognition while more emphasis on Sparse Representation
This project is to write a code using OpenCV-python in windows system to detect faces from live video or images.
The dataset is Fer 2013 and can be viewed in Kaggle. We give an image as an input and get an output of the emotion and corresponding songs via an audio. The given audio files are for the happy and angry emotions. These files can also be created for all the remaining five emotions as well, as is clear in the code.
Face Recognition project built in Python with OpenCV and dlib Face Recognition.
This Python Program allows to detect any motion occurring in the webcam and records the time interval for which the object was in front of the screen using a Bokeh graph.
This software can recognize a person's user data and their emotions. Built on top of tensorflow.js core, which implements several CNNs (Convolutional Neural Networks) to solve face detection, face recognition and face landmark detection. Optimized for the web and for mobile devices.
THIS REPOSITORY CONTAINS FILES RELATED TO FACE-RECOGNITION ATTENDANCE SYSTEM
Attendance System using Face Recognition
Smart Surveillance System Using OpenCV in Raspberry Pi
Simple face detect app using python
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…
Add a description, image, and links to the face-recognition-python topic page so that developers can more easily learn about it.
To associate your repository with the face-recognition-python topic, visit your repo's landing page and select "manage topics."