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I wrapped their latest recognizer the $P Point-Cloud Recognizer, as a node.js module here: https://github.com/francoislaberge/outlines https://github.com/franco
by endergen 11y ago
I wrapped their latest recognizer the $P Point-Cloud Recognizer, as a node.js module here:
https://github.com/francoislaberge/outlines https://github.com/francoislaberge/outlines
Their implementation is quite clean, it really is a nice clean algorithm. It takes reading it to understand the type of shapes (templates) that work best and also as a user how best to draw them. I added a demo that shows you as you draw what it's internal state is and best guess so far:
http://francoislaberge.com/outlines/demo/index.html http://francoislaberge.com/outlines/demo/index.html
- sgentle 11y agoVery cool. It's interesting that, depending on how I draw it, I get a much higher match for "D" when I draw a box than when I draw a D. It seems like it might be tricky to train it on what not to recognise. Or maybe you just need a lot of template gestures.
- endergen 11y agoYeah, I think you really have to design your set of recognized gestures to make them have a low chance of ambiguity. Hmmm, and yeah you could add templates that are variants of an intended output. To improve the chance of matching important gestures
- ryanmarsh 11y agoI really love the feedback in the demo as to what the recognizer is guessing. If my Palm had that I believe I might have been even faster at writing graffiti. It allows you to quickly correct a "letterform" to get the desired glyph.