A neural network for kerning fonts. This has gone through a number of experimental designs and phases. The latest version shows a number of word images to a neural network - some of these are well-kerned, others are not - and asks the network to distinguish which are wrong and how to fix them.
This is a Python 3 script. (I think it would probably work fine with Python 2 with a few minor modifications.)
Install the module requirements with pip:
pip3 install -r requirements.txt
To report on the kerning status of a font:
./kerncritic myfont.otf
By default this will test every uppercase basic Latin (A-Z) against every other uppercase basic Latin. To change the range of pairs checked, use the --left and --right options. You can use the token <uc> as a shortcut for A-Z and the token <lc> as a shortcut for a-z. For example: --right '<uc><lc>0123456789' will test every uppercase basic Latin against basic Latin letters and numerals.
kerncritic reports on pairs that it is more than 70% sure are wrong. You can change this with the --tolerance option. Use kerncritic --help for more.
Copyright 2017-2019 Simon Cozens
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