Types & classes — github.com/computational-imaging/bacon

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Types & classes26 in github.com/computational-imaging/bacon

⨍ Functions 194◇ Types & classes 26

↓ 3 callersClassFCBlock

A fully connected neural network that also allows swapping out the weights when used with a hypernetwork. Can be used just as a normal neural netw

↓ 3 callersClassFourierLayer

↓ 2 callersClassFFPositionalEncoding

↓ 2 callersClassSine

↓ 1 callersClassFirstSine

↓ 1 callersClassFourierLayer

Sine filter as used in FourierNet.

experiments/plot_activation_distributions.py:61

↓ 1 callersClassFourierNet

experiments/plot_activation_distributions.py:77

↓ 1 callersClassHiddenPrints

spectrum_visualization/get_shape_spectra.py:16

↓ 1 callersClassMSoftplus

↓ 1 callersClassOptions

experiments/render_nerf.py:31

↓ 1 callersClassPositionalEncoding

↓ 1 callersClassSwish

ClassCoordinateNet

A canonical coordinate network

ClassFunc1DWrapper

ClassHiddenPrint

ClassImageWrapper

ClassImplicit6DMultiviewDataWrapper

Multiplicative filter network base class. Expects the child class to define the 'filters' attribute, which should be a nn.ModuleList of n

experiments/plot_activation_distributions.py:23

convert point cloud to SDF

ClassMultiscaleBACON

ClassMultiscaleCoordinateNet

A canonical coordinate network

ClassNerfBlenderDataset

ClassRadianceNet