This project aims to correctly digitalize a digital capture of a physical photography. This is the first implementation assignment of the Computer Vision Fundamentals at UFRGS Computer Science program.

1. Python 3 (windows, linux)
2. Virtualenv

This project can be run locally using a python virtual environment. This are the steps to prepare it for Linux and Windows.

1. git clone https://github.com/ceschini/planar_homography.git
2. cd planar_homography
3. virtualenv .venv
4. source .venv/bin/activate
5. pip install -r requirements.txt

Windows users can double click the install_windows.cmd script in order to install it. Please make sure you have Python 3 and virtualenv ready for it.

Inside the scripts folder you can find .py files. These files can be executed by running python <script>.py in a terminal. Just make sure your virtual environment is activated.