Computer Vision

Welcome to creating computer vision apps where we use pieds and to do just that.

I’m Frank a computer science graduates software engineer.

Why did I built this course.

If you want to build computer vision apps the learning curve can be pretty steep.

In this course you will learn step by step how to build computer vision.

I’ll give you the basics to create computer vision apps as quickly as possible and this course will

build Farias including face detection and object detection systems.

We’ll start by the basics such as image loading and manipulation and we’ll dive deeper into computer

vision techniques such as feature extraction and we’ll make many exciting things.

Installation Installation on Windows

Follow the instructions on http://docs.opencv.org/3.1.0/d5/de5/tutorial_py_setup_in_windows.html

Installation on (Debian/Ubuntu) Linux

Follow the instructions on https://milq.github.io/install-opencv-ubuntu-debian/

First remove any OpenCV version you have installed, because it can conflict with the newest version.

sudo apt-get install libopencv-dev python-opencv Download the Linux install script:

wget https://raw.githubusercontent.com/milq/milq/master/scripts/bash/install-opencv.sh Then change the rights and run it:

chmod 755 install-opencv.sh ./install-opencv.sh It may take a while depending on the speed of your computer. On my 32bit Intel i3 laptop the installation took about an hour. I’ve tested it with Ubuntu Linux 16.04 LTS