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The real interesting thing in fact is that I did not even conclude issues that you meant. At the moment I focused only on ml/dl algorithm and its ‚accuracy’, bu
by pavlovskyi 5y ago
The real interesting thing in fact is that I did not even conclude issues that you meant. At the moment I focused only on ml/dl algorithm and its ‚accuracy’, but its center of gravity lays stricly in form of gathered dataset. It gives me that feeling that I am missing something right now and it wont be usable on production level. Indicating what set you could build from predicted bricks should not be hard because as far as I know there are official APIs which allows you to gather specific information about each set. Thank you for explaining part of your side project, it was really interesting!
- sumtechguy 5y agonice! You could brute force it a bit? May take a little bit of work. But you could take the part descriptions from ldraw (from ldraw.org). Have a decent way to render a piece (and random known colors). Then feed in those pictures/pieces as random orientations to your net? That may let you automate it very nicely? You would basically cut out a huge time sink of the hardware bit and get a net that is 'close'? Then once it is close you can add in the hardware bit? If you wanted to simulate random pile of bricks you could use something like one of the physics simulation engines and add in random bricks and let them flop where they can? That could give you some input values for your net fairly quickly?