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This PR includes some small changes to the FrontEnd models and related code:
std
arg ofgaussian1d
can now be an int, and includes more validationwidth_ratio_limit
fromCenterSurround
, along with clamping behavior. That wasn't working and is only really needed when training the model, which isn't the focus of plenoptic. I think that sort of clamping behavior is better implemented in the training loopwidth_ratio_limit
, as described abovekernel_size
can be an int or tuple of ints (also inLinear
,Gaussian
,CenterSurround
models)kernel_size=31
orkernel_size=(31,31)
same_padding
type annotations to match behaviorCloses #265, #264