This repository is created with the intention for people who will attend the PyData tutorial to have a look at the code prior to the tutorial. This OpenCV tutorial is based on version 3.0.0

Building a Face Recognition System with OpenCV in the blink of an Eye

This notebook was created for the tutorial during the PyData Meeting:

Author: Rodrigo Agundez from Qualogy Solutions
Place: Amsterdam, Papaverweg 265
Date: Saturday, March 12, 2016
Time: 16:15
Room: 2

The goal of this tutorial is to build a simple face recognition system with the use of the opencv library. This tutorial is separated in three parts:

Basic manipulation techniques of images and video using OpenCV.
Building our data set of images.
Training the classification model provided by OpenCV.
Recognize never seen images by the model.
Recognize faces from a live video feed.
Try to trick the face recognition to classify other types of objects.

A bit about OpenCV

OpenCV is an open source computer vision and machine learning software library. The library includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to:

It has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.