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Unread 23-07-2016, 20:14
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Re: paper: ZebraVision 4.0 Neural Networks

Andrew ng's course on coursera is an excellent start.
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Unread 24-07-2016, 12:50
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Re: paper: ZebraVision 4.0 Neural Networks

This is also a really good resource : http://cs231n.github.io/. Pretty sure our students put it in the paper but I wanted to make sure it didn't get lost.
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Unread 26-07-2016, 12:34
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Re: paper: ZebraVision 4.0 Neural Networks

I have a question for you guys. Did you ever actually use this in competition? I find that this wouldn't be that useful in actual competition unless you could track the ball, auto rotate and intake it with the press of a button. Were you able to implement that?

Still, very impressive as always! I look forward to seeing what you do every year!

- Drew
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Unread 26-07-2016, 13:36
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Re: paper: ZebraVision 4.0 Neural Networks

Quote:
Originally Posted by jreneew2 View Post
I have a question for you guys. Did you ever actually use this in competition? I find that this wouldn't be that useful in actual competition unless you could track the ball, auto rotate and intake it with the press of a button. Were you able to implement that?

Still, very impressive as always! I look forward to seeing what you do every year!

- Drew
Sadly not but we are very close to it and the purpose of our work has been to set ourselves up for the future, not necessarily for the current game. We're very focused on making the process repeatable and to learn from it and how to simplify/improve implementation.

This is really the next evolution of our work last year with tracking/retrieving the recycling bins.

Our hope is to program and complete a full "cycle" with our current robot once school is back in session and all of our students are back. We've even got a trick up our sleeve for tracking robot pose thanks to our friends over at Kauai Labs that should make this all a lot easier than it may at first seem.
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Unread 26-07-2016, 14:04
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Re: paper: ZebraVision 4.0 Neural Networks

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Originally Posted by marshall View Post
Sadly not but we are very close to it and the purpose of our work has been to set ourselves up for the future, not necessarily for the current game. We're very focused on making the process repeatable and to learn from it and how to simplify/improve implementation.

This is really the next evolution of our work last year with tracking/retrieving the recycling bins.

Our hope is to program and complete a full "cycle" with our current robot once school is back in session and all of our students are back. We've even got a trick up our sleeve for tracking robot pose thanks to our friends over at Kauai Labs that should make this all a lot easier than it may at first seem.
That would be really awesome if you completed that goal. I would love to see a follow up video if you ever get that working!

Thanks for the quick and informative response.

- Drew
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