[Munchskull]

Originally Posted by marshall

It is indeed code that you teach or train. You must provide it positive and negative images of the items you are seeking to recognize. The white paper we are working on uses the balls from the 2014 game as an example. I've been told that white paper is still being worked on and to expect a draft this Friday.

You do not need a Jetson to run this type of code but you do need one to run this specific code. In fact, a lot of our prototype work was done on PCs. That being said, we're fans of the Jetson. A raspberry pi should work as well.

Also, the code is using a technique known as cascade classification. It's pretty clever but there are even more cleverer ways to do this using neural networks but that is going to become an off season project for us.

Would you be able to post the computer version of the code?

And if you can, would you be able to give directions on how to run it? (Ex. What environment I would need? Required libraries? Required camera? Ect.)