In this tutorial you find NumPy exercises that create images.
It is meant as a gentle introduction to NumPy. It assumes that you have made your first steps with Python already. To get the best out of it, put it into practice immediately:
paint things – create art – have fun!
If you are using the Anaconda distribution, you should have all necessary libraries already.
Otherwise, download or clone the git repository github.com/krother/generative_art and install the libraries using pip
:
:::bash
pip install -r requirements.txt
Next, try the examples and challenges.
Example | Topic |
---|---|
Creating Images | Create a grayscale image |
Color | Create a RGB image |
Random Blur | Create random pixels |
Flags | Slicing |
Repeat | Repeating tiles |
Example | Topic |
---|---|
Stars | Indexing |
Lines | Arithmetics |
Gradient | Linear space |
Triangles | Matrix operations |
Circles | Euclidean Distances |
Mask | Indexing |
Meme Generator | Adding text with Pillow |
Example | Topic |
---|---|
K-Means | Clustering |
Decision Tree | Color prediction |
Convolution | CNN kernel |
Monte Carlo | Sampling |
Example | Topic |
---|---|
Rotation | Rotation figure |
Shadow | shadow using a mask |
Warhol | Color channels |
Puzzle | vstack and hstack |
Contour Lines | Gaussian Mixture |
Edge Detection | Sobel Operator |
Dragon Curve | Recursive graphics |
Mandelbrot | Recursive graphics |
Hexpanda | Hexbin plot |
Example | Topic |
---|---|
Flower Assembly | puzzle |
Vortex | rotating parts |
Sand blows away | moving particles |
Star Wars Titles | text moving in 3D |
Infinity Blossom | depth illusion |
Thank You | scripted assembly |
(c) 2024 Dr. Kristian Rother ([email protected]
)
Distributed under the conditions of the MIT License. See LICENSE
for details.
The Brandenburg Gate image is by Thomas Wolf, www.foto-tw.de / Wikimedia Commons / CC BY-SA 3.0