2020_Random_Mondrian_Art

Random Mondrian Art

This project uses recursion to generate pseudo‐random art in a Mondrian style. Your program’s output will be an HTML document that contains rectangle primitives (perhaps among others) within an SVG tag.

The main strategy for recursion is:

• If the region is wider than half the initial canvas size and the region is taller than half the initial canvas height:
• Use recursion to split the region into 4 smaller regions (a vertical split and a horizontal split) with the split location is chosen randomly
• Else: if the region is wider than half the initial canvas size: Use recursion to split the region into 2 smaller regions using a vertical line with the split location chosen randomly
• Else: if the region is taller than half the initial canvas size: Use recursion to split the region into 2 smaller regions using a horizontal line with the split location is chosen randomly
• Else: if the region is big enough to split both horizontally and vertically, and both a horizontal and vertical split is randomly selected: Use recursion to split the region into 4 smaller regions (a vertical split and a horizontal split) with the split location is chosen randomly
• Else: if the region is big enough to split horizontally, and a horizontal split is selected: Use recursion to split the region into 2 smaller regions using a vertical line with the split location chosen randomly
• Else: if the region is big enough to split vertically, a vertical split is selected: Use recursion to split the region into 2 smaller regions using a horizontal line with the split location is chosen randomly
• Else:fill the current region (randomly, either white or colored, and if colored, with a random determination of picked color, with a pattern or not).

Language

The project is written in Python 3.8.2 and packages which are used:

• Numpy for randomization
• PyQt5 for GUI

Dependencies

To install NumPy and PyQt5:

pip install numpy PyQt5

Launching

Windows :

Execute file
randomMondrianArt.exe

Linux:

cd  2020_Random_Mondrian_Art-master
python3 gui.py

Examples

Example withouth patterns:

Example with patterns:

Authors and acknowledgment

This project is a university assignment from the subject Programming Paradigms

• Profesor: doc dr Milena Vujošević Janičić
• Assistant: Marjana Šolajić

Students authors of the project:

• Ana Milićević (mr16042@alas.matf.bg.ac.rs)
• Miloš Kutlešić (mr16182@alas.matf.bg.ac.rs)
• Uroš Dimitrijević (mr16193@alas.matf.bg.ac.rs)