class documentation

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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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do_normalize = (source)

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input_size = (source)

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num_output_channels = (source)

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refine_net = (source)

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