DUST was a simple framework made for visualising noise generation but eventually just became a way to make cool (I think) images.

It utilises the PyPi module pyfastnoisesimd, the Python Imaging Library (PIL), numpy, and various other builtin modules that come with python 3.

To run:

1. Clone this repository
2. Install the pip modules "pyfastnoisesimd" and "PIL" (of course a virtual environment can be used), and
3. Run demo_main.py with a recent version of python 3 ($ python3 demo_main.py)

To fiddle:

If you're looking to mess around with this I'm afraid you'll have to look at the source. I haven't made any proper documentation. There will be comments, but I give no guarantee that they will be up-to-date or even relevant at all so expect to delve into the source ;) To get started it is good to know that the provided demo_main.py should work out of the box - if it doesn't your environment might be incorrectly configured.

Sample Images

The LandFilter is currently the only filter used in this section and the conditions used to generate each respective image are lost to time :)