vexilligera/strokenet
a neural network that draws digits using strokes
This is a neural network model designed to draw handwritten digits using a sequence of strokes. It takes a digital image of a character (like those found in the MNIST or Omniglot datasets) as input and outputs a series of drawing instructions that recreate the character. Graphic designers, educators, or researchers interested in character generation or digital penmanship might find this useful.
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Use this if you are exploring methods for programmatically generating handwritten-style characters through a sequence of drawing actions.
Not ideal if you need a polished, production-ready system for high-quality character generation, as it explicitly states that it "Needs tweaking to get it work" and points to a potentially better alternative.
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53
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13
Language
JavaScript
License
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Category
Last pushed
Dec 06, 2022
Commits (30d)
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