Face Recognition using number of different approaches.
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Updated
Sep 10, 2018 - Jupyter Notebook
Face Recognition using number of different approaches.
Minimal API for face recognition.
Trying all the techniques of face recognition while more emphasis on Sparse Representation
A web api for face recognition with Flask
Face recognition with VGG face net in Tensorflow and Keras python.Trained in Colab.
Very Concise code of face recognition using OPENCV library.
A Face Detection and Recognition system based on Eigenface method
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.
Real Time Face Recognition with Python and OpenCV2, Create Your Own Dataset and Recognize that. #FreeBirdsCrew
Recognizing faces in images as well as in videos using OpenCV
Smart Surveillance System Using OpenCV in Raspberry Pi
Python Projects
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.
Heart rate can predict cardiovascular morbidity and mortality. Measurements are easy to obtain, and monitoring heart rate can help in cardiovascular disease prevention and management Conventional heart beat detection systems require a direct contact with the patient. This project aims at developing a system that can detect and compute the heart …
Teotl is a service to provides functions for the detection and comparison of faces in images via base64 and via multipart.
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