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Seems simple enough to feed a NN with that abstracted data.

However, the advantage to the texture approach is it's abstracted from a lot of other information. You don't want a classifier to say sofa, when it's a picture of a person on a sofa.



but then you're biasing it toward your perception:

http://www.bespokesofalondon.co.uk/assets/Uploads/bespoke-so...

anyway it does work perfectly if that's what you need, but most proponent are trying to use deep nn to classify 'as good as humans do'




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