The ML networks for these nodes can be refined using Cop圜at to create even higher-quality shots or studio-specific versions in addition to their primary use for resizing footage and removing motion blur. Upscale and Deblur - Two new tools for common compositing tasks were developed using the ML methodology behind Cop圜at and the open-source MLServer.

Inference - The node that runs the neural networks produced by Cop圜at, it applies the model to an image sequence or to another sequence.This artist-focused shot-specific approach allows for the creation of high-quality, bespoke models relatively quickly within Nuke without custom training environments, complex network permissions or sending data to the cloud. Cop圜at - An artist can create an effect on a small number of frames in a sequence and train a network to replicate this effect with the Cop圜at node.Key components of the machine learning toolset include: Research team, allows artists to create bespoke effects with a high-quality result in relatively little time. Applications of this flexible toolset include up-res, removing motion blur, tracker marker removal, beauty work, garbage matting and more. The Machine Learning Toolset, developed by Foundry’s A.I. Foundry has announced the release of Nuke 13, which introduces a flexible machine learning toolset, a new Hydra 3D viewport renderer and extended monitor out functionality, enhanced workflows for collaborative review, Python 3 support and more.

The foundry nuke studio 13