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In the fastai v2 unet_learner function call, n_in can be specified in order to reshape the learner to accept inputs that don't have 3 channels. Is this something that can be specified in SemTorch? Asking because I don't see it as a parameter in the README, though perhaps it will passthrough as a kwarg.
The text was updated successfully, but these errors were encountered:
In the fastai v2
unet_learner
function call, n_in can be specified in order to reshape the learner to accept inputs that don't have 3 channels. Is this something that can be specified in SemTorch? Asking because I don't see it as a parameter in the README, though perhaps it will passthrough as a kwarg.The text was updated successfully, but these errors were encountered: