Stroke classification & typology example demo

[jGaboardi]

Last week I mentioned about recreating the stroke classification & typology. It takes some minor updates to the code base to enable recording the information and some extra bits in for plotting. Here is the gist demoing 2 examples. I thing it's pretty cool, but not sure how actually useful it will be. Let me know yalls thoughts on if I should keep on the experimentation.

Of note – while the classifying of $\{\prime, *, \hat{}\}$ is performed in our current neatnet workflow, it is not (yet?) possible on this proposed functionality since it happens in differing locations & based on other artifacts.

[codecov]

Codecov Report

Attention: Patch coverage is 70.27027% with 11 lines in your changes missing coverage. Please review.

Project coverage is 97.7%. Comparing base (c1c91ba) to head (853000c).

Files with missing lines	Patch %	Lines
neatnet/continuity.py	52.2%	11 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff           @@
##            main    #157     +/-   ##
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- Coverage   98.8%   97.7%   -1.1%     
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  Files          6       6             
  Lines        998    1021     +23     
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+ Hits         986     998     +12     
- Misses        12      23     +11     

Files with missing lines	Coverage Δ
neatnet/simplify.py	98.3% <100.0%> (+<0.1%)	⬆️
neatnet/continuity.py	81.7% <52.2%> (-18.3%)	⬇️

[martinfleis]

I suppose this can be useful in the paper and documentation when we explain how it all works but not sure it needs to be automatised. We can craft those figures by hand probably. But if this exists... why not use it.

I have looked at the gist only, not the code, fyi

[anastassiavybornova]

hey! sorry for being late on this. checked the code and the gist. looks really cool! i also agree with martin re usefulness for the paper and not-so-urgent full automatization.