Comment by mabbo
9 years ago
With the machine working so well, you could run each sorted batch through it again, and sort into very specific pieces/colours, if you wanted.
You just need to re-train on those classes instead- but I bet the front-end of the tensorflow network would already be trained well enough that re-training for new classes would be very fast.
IIRC the machine sorts like that already, but you can't have a bin for every separate type - you'd need a warehouse of boxes, and the boxes would have to be of several sizes. So I think the pictures just illustrate how he's chosen to cluster for now, as an example to people who try to decide how they'd actually want their purchase to be grouped.
Correct. A typical bin contains many different part ids but it would be trivial to make other divisions.
Neat!
So each item is actually identified right down to the size, colour, type, etc, but then literally bucketed into a group of similar items?
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One approach that seems obvious is to re-sort based on orders. If someone wants 30 different piece types, but all in blue, that'll be a pain. But if someone wants any subcategory of what's already identified, that could be approached by pulling the existing box for a new sorting run.