Machine Learning in Nuke | Training AI to Speed Up Your VFX Shot Prep

Join Thiago Porto, VFX Supervisor/Senior Comp Artist at MPC New York as he uses CopyCat to prep a VFX shot that he would have previously had to do manually.
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[@alicm17]

would prefer to have explanation of how you set up the nodes itself

[@charlesbrain5535]

alot of steps are missing. how do one understand how to setup the nodes

[@palchristianaar8170]

that shot look terrible difficult to do :O

[@behrampatel4872]

very informative. Thank you

can you help, I try to recreate your node setup carefully, everything seems fine, but after finish training, I click create inference then connect viewer to it, the screen is black and an error appears "Inference1: Error: Given model file doesn't exist or is not a.cat file"

[@thomasbadcock1017]

Lemme grab my 2 RTX 8000 from the drawer real quick... Seems like Copycat needs a really powerful GPU to be time efficient. Otherwise i think doing it manually will be faster.. But it's a great start for machine learning in Nuke.

[@apmanti12]

yeah, i mean this shot could be done with a gizmo like pixelfudger fill and it wouldn't take that long, but its cool to have this option, i think they will make a better optimization in the future

[@thomasbadcock1017]

@@apmanti12 Agreed.

[@scottmitchell4365]

Very nice. Thank you mate. Good break down. Traditional methods would take a lot longer on the box,

[@plexeus]

a year later, a single 3090ti out performs 2 rtx8000 on my workstation in comparison, minus the Vram of course...

[@boxjcb]

The corners of the photos look easier to track than the tracking markers.

[@xXWhatzUpH8erzXx]

Haha I agree. Only benefit I see is having markers in the middle to keep track of deformation

[@billkage4279]

VFX artist removes the corners.

[@Adventureinnature]

2x quadro rtx 8000 стоит как две моих почки. Очень "доступная технология"...