Computer Vision

Developed and managed by computer vision group of Aerial and Underwater Robotics Society | JUIT
Computer Vision codes and Tutorials. Tutorial codes implemented on Octave and OpenCV codes in Python/C++
Installing Octave on Ubuntu
sudo apt-add-repository ppa:octave/stable
sudo apt-get update
sudo apt-get install octave


Installing OpenCV Python on Ubuntu
sudo apt-get install python
sudo apt-get install python-numpy
sudo apt-get install python-scipy
sudo apt-get install libopencv-*
sudo apt-get install python-opencv

This installs the OpenCV 2.x and alternatively you can use pip.
Try to check if cv2 has installed by:

import cv2
print cv2.__version__

It shall print the version of OpenCV if correctly installed else will give some error.

Addition libraries to install for more effecient and real time computer vision applications.
sudo pip install ipython
sudo pip install matplotlib
sudo apt-get install python-sklearn
sudo apt-get install python-skimage
sudo pip install moviepy

What is it?

This is a study plan for going from an undergraduate to computer vision learner.

Please, feel free to make any contributions you feel will make it better.

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Contents

• What is it?
• Why use it?
• How to use it
• Follow me
• Don't feel you aren't smart enough
• About Video Resources
• Prerequisite Knowledge
• The Daily Plan
• Motivation
• Computer Vision overview
• Computer Vision is fun
• Computer Vision: an in-depth, non-technical guide
• Computer Vision Algorithms
• Beginner Books
• Practical Books
• MOOC
• Resources
• Becoming an Open Source Contributor
• Communities
• Conferences
• My admired companies