Generating messy data for test, do not want to commit it.
Creating new, messier data to improve the performance of the app.

The network does wonderfully on the preprocessed data but stinks
in real life, because the data isn't that pretty. This initial
commit of the "postprocessor" resizes the images.
Messy rotation and tests.
Can now convert pygame surface to 1d pixel representation.
Wrote a controller to run through entire data file and mess it up.
Ready to run through whole data file. Will be cpu heavy.

So we'll ask euclid to do it.
Changed file names for test and train to be more generic.

Useful for training on new data. Not the originals.
No longer using these files. Keep for legacy.
Changed parameters, sizes and iterations, to better fit new data set. Have no basis for changes other than I liked them.
Want to test on 10k samples.
Adding enormous data file because pygame required to generate.

And pygame is not installed on the other machines. And I want
this forever and ever.
Removed newlines in the split files.
Ignoring split of huge data file.