cutcutcodec.core.nn.model.compression.img_cgavaenn

Implement a convolutive generative adversarial variational auto-encoder neuronal network.

Classes

Decoder()	Unfold the projected encoded images into the color space.
Discriminator()	Classify the real and generated images.
GAVAECNN(encoder, decoder, discriminator)	Convolutive generative adversarial variational auto-encoder neuronal network.
VariationalEncoder()	Projects images into a more compact space.

Details

class cutcutcodec.core.nn.model.compression.img_cgavaenn.Decoder

Unfold the projected encoded images into the color space.

Initialize internal Module state, shared by both nn.Module and ScriptModule.

class cutcutcodec.core.nn.model.compression.img_cgavaenn.Discriminator

Classify the real and generated images.

Initialize internal Module state, shared by both nn.Module and ScriptModule.

class cutcutcodec.core.nn.model.compression.img_cgavaenn.GAVAECNN(encoder: VariationalEncoder, decoder: Decoder, discriminator: Discriminator)

Convolutive generative adversarial variational auto-encoder neuronal network.

class cutcutcodec.core.nn.model.compression.img_cgavaenn.VariationalEncoder

Projects images into a more compact space.

Each patch of 192x192 pixels with a stride of 32 pixels is projected into a space of dimension 256.

Initialize internal Module state, shared by both nn.Module and ScriptModule.