Color Recognition ML database

So turns out that Machine Learning isn't something you can just jump into in a couple of hours and say "Ok I can do this now that was easy." 

Nonetheless, I've been working on the supervised-learning color database and after a lot of programming (THIS MUCH!!! \__(ಥ_ಥ)__/) I now have the beginning of the color database I will use to dock.

MARCO is currently sitting on its side, staring at a piece of paper with a bunch of differently-colored squares printed on it, populating that database with 100 pixels of raw data per color. I estimate that the array this data will populate will exceed 3MB in size by the time I finish gathering initial data, which is huge for an array of 8-bit integers.

MARCO images that piece of paper once every ten minutes to sample what each of those colors looks like all throughout the day and into the night.

Next task is to crunch all of this data into a meaningful set of equations that MARCO can use during docking, and then I move on to the coarse acquisition process.

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