View source: R/cycleGAN_models.R
cycle_learner | R Documentation |
Initialize and return a 'Learner' object with the data in 'dls', CycleGAN model 'm', optimizer function 'opt_func', metrics 'metrics',
cycle_learner(
dls,
m,
opt_func = Adam(),
show_imgs = TRUE,
imgA = TRUE,
imgB = TRUE,
show_img_interval = 10,
...
)
dls |
dataloader |
m |
CycleGAN model |
opt_func |
optimizer |
show_imgs |
show images |
imgA |
image a (from) |
imgB |
image B (to) |
show_img_interval |
show images interval rafe |
... |
additional arguments |
and callbacks 'cbs'. Additionally, if 'show_imgs' is TRUE, it will show intermediate predictions during training. It will show domain B-to-A predictions if 'imgA' is TRUE and/or domain A-to-B predictions if 'imgB' is TRUE. Additionally, it will show images every 'show_img_interval' epochs. ' Other 'Learner' arguments can be passed as well.
None
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