Micseb / Introduction-to-Computer-Vision

Repository for a video lecture I gave at MIT Blueprints 2017 (Introduction to Computer Vision)

This repo contains the slides and the demos for a talk I gave on Computer Vision for high school students at MIT's annual hackathon - MIT Blueprints.

The basic idea is to introduce students to the broad level perspective of how a neural network and deep learning works without any mathematics, while still stressing on the importance of the mathematics if someone needs to build such systems!

Here's link to the youtube video - https://www.youtube.com/watch?v=rO3yP4ftB3U&feature=youtu.be

Short description of demos -

Demo 1 - Face Detection in image face_detect.py :- used to run face detection on an image. USAGE: face_detect.py abba.png haarcascade_frontalface_default.xml

Demo 2 - Face Detection from webcam live.py

Demo 3 - Artificial Neural Network visualized with random data Artificial Neural Network.py

Demo 4 - Deep Learning using Keras (Cats vs Dogs Image Classification) keras3.py

Extra pictures provided for demo1.

Achnowledgements - Demo1 and Demo2 are based off of https://github.com/shantnu/FaceDetect Demo3 is based off of https://github.com/rdcolema/keras-image-classification