LPD.py 🚧¢

Source: LION/models/iterative_unrolled/LPD.py

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This file has not yet received a complete narrative and docstring audit. Its public source-level API is listed automatically below.

class dataProximal(layers, channels, conv_bias, instance_norm=False)

CNN block of the dual variable

dataProximal.forward(self, x)

No docstring is available.

class RegProximal(layers, channels, conv_bias, instance_norm=False)

CNN block of the primal variable

RegProximal.forward(self, x)

No docstring is available.

class LPD(geometry: ct.Geometry, model_parameters: LIONParameter = None)

Learned Primal Dual network

LPD.default_parameters()

No docstring is available.

LPD.continous_LPD_paper()

No docstring is available.

LPD.cite(cite_format='MLA')

No docstring is available.

LPD.forward(self, g)

g: sinogram input