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.
- Clone this repository
- Install the pip modules "pyfastnoisesimd" and "PIL" (of course a virtual environment can be used), and
- Run demo_main.py with a recent version of python 3 (
$ python3 demo_main.py)
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.
The LandFilter is currently the only filter used in this section and the conditions used to generate each respective image are lost to time :)
