It probably makes art.
imcmc (im-sea-em-sea) is a small library for turning 2d images into probability distributions
and then sampling from them to create images and gifs. Right now it is best at logos and shape based images.
This is actually
pip installable from git!
pip install git+https://github.com/ColCarroll/imcmc
See imcmc.ipynb for a few working examples as well.
import imcmc image = imcmc.load_image('python.png', 'L') # This call is random -- rerun adjusting parameters until the image looks good trace = imcmc.sample_grayscale(image, samples=1000, tune=500, nchains=6) # Lots of plotting options! imcmc.plot_multitrace(trace, image, marker='o', markersize=10, colors=['#0000FF', '#FFFF00'], alpha=0.9); # Save as a gif, with the same arguments as above, plus some more imcmc.make_gif(trace, image, dpi=40, marker='o', markersize=10, colors=['#0000FF', '#FFFF00'], alpha=0.9, filename='example.gif')
Pillow does not have a logo, but the other tools do!
Here's a tricky one whose support I appreciate
I get to do lots of open source work for The Center for Civic Media at MIT. Even better, they have a super multi-modal logo that I needed to use 98 chains to sample from!
There are some functions in there to sample from the RGB channels of real images, but the reconstructed images just look blurry, and the gifs just look like they are awkward fades. Still working on it!