
None - the training begins from scratch with no weighting applied.Sets whether training begins from scratch or from weighting defined by a previous model: The Data Set is the number of Input and Ground Truth image pairs connected to Cop圜at.Ĭlick to start training the network using the current settings.Ĭlick to resume training from a checkpoint recorded in the Data Directory.Ĭlick to add an Inference node to the Node Graph with the Model File control automatically referencing the correct. Total Steps = Epochs * (Data Set) / (Batch Size) At each step, Cop圜at trains the network using random crop pairs from the Input and Ground Truth images divided by the Batch Size. Total Steps - the number of steps required to complete the specified number of Epochs.

#Copycatx serial number free
it was not possible to create a context for processing on the selected GPU, such as when there is not enough free memory available on the GPU.no suitable GPU was found on your system.Use CPU is selected as the default blink device in the Preferences.Note:This input is only visible when the Input and Ground Truth are connected.ĭisplays the GPU used for rendering when Use GPU if available is enabled. As the training progresses, the Preview image should move toward the ideal result defined by the Ground Truth. This input is used to view how the model will work when applied to a frame that is not part of the data set you're using to the train the model.

This input describes what the network is attempting to learn.Īn optional sample image overlay. The image sequence after the required effects have been applied.

The image sequence before any effects have been applied. cat file ready for the Inference node to apply your effect.
#Copycatx serial number full
Cop圜at ( 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 to replicate this effect on the full sequence.
