See Train Neural Networks to Replicate Effects Using Machine Learning for more information.Īs the network learns, it creates. mxf, but the set up is slightly different in each case. Note:Cop圜at can ingest sequential formats, such as. For example, a data set could be six frames from a sequence that you want to garbage matte and six manually roto'd masks, as shown in the image. The data set is used to train a neural network using machine learning to manipulate the Input images to replicate the Ground Truth. Ĭop圜at ingests any number of image pairs called Input and Ground Truth images, which are referred to as the data set. Note:NVIDIA CUDA is not supported on macOS so training defaults to the CPU, which may result in longer training times.įor more details on Machine Learning with Cop圜at in NukeX, see. cat file ready for the Inference node to apply your effect. The Cop圜at node ( NukeX and Nuke Studio only) copies sequence-specific effects, such as garbage matting, beauty repairs, or deblurring, from a small number of frames in a sequence and then trains a network using machine learning to replicate this effect on a full sequence. Training on Multiple GPUs Simultaneously.Train Neural Networks to Replicate Effects Using Machine Learning.
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