spandrel_extra_arches.architectures.DDColor.DDColor

class documentation

class DDColor(nn.Module): (source)

Constructor: DDColor(encoder_name, decoder_name, num_input_channels, input_size, ...)

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Method	`__init__`	Undocumented
Method	`denormalize`	Undocumented
Method	`forward`	Undocumented
Method	`normalize`	Undocumented
Class Variable	`hyperparameters`	Undocumented
Instance Variable	`decoder`	Undocumented
Instance Variable	`do_normalize`	Undocumented
Instance Variable	`encoder`	Undocumented
Instance Variable	`input_size`	Undocumented
Instance Variable	`num_output_channels`	Undocumented
Instance Variable	`refine_net`	Undocumented

def __init__(self, *, encoder_name='convnext-l', decoder_name='MultiScaleColorDecoder', num_input_channels=3, input_size: tuple[int, int] = (256, 256), nf=512, num_output_channels=3, last_norm: Literal['Batch', 'BatchZero', 'Weight', 'Spectral'] = 'Weight', do_normalize=False, num_queries=256, num_scales=3, dec_layers=9): (source) ¶

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def denormalize(self, img): (source) ¶

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def forward(self, x): (source) ¶

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def normalize(self, img): (source) ¶

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hyperparameters: dict = (source) ¶

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decoder = (source) ¶

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do_normalize = (source) ¶