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Performance improvements with parallelization? #10

@jacobSingh

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@jacobSingh

Hello!

First off, thank you for this awesome work. I've been messing around with it for a couple days now. After some serious yak shaving, I got it working and the results are awesome. The speed leave a lot to be desired though. Especially when working with big data sets (takes me about 3hrs for an 1000 image average).

I tried loading it on a cuda enabled ami but not really getting better results there. I'm not asking for free work here, but since I don't have a CV or ML background myself, curious if you have any tips on how we can get parallel processing going here or otherwise what the bottlenecks are which can be worked on? I might do it or commission it.

Thanks!
J

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