load_degradation#
- deepinv.utils.load_degradation(name, data_dir=None, index=0, download=True)[source]#
Loads a degradation tensor from DeepInverse HuggingFace repository.
- Parameters:
name (str, pathlib.Path) – degradation name with file extension
data_dir (str, pathlib.Path) – dataset root directory, defaults to None
index (int) – degradation index, defaults to 0
download (bool) – whether to download, defaults to True
- Returns:
(
torch.Tensor
) containing degradation.- Return type:
Examples using load_degradation
:#
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Regularization by Denoising (RED) for Super-Resolution.
Regularization by Denoising (RED) for Super-Resolution.
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Self-supervised learning with Equivariant Imaging for MRI.
Self-supervised learning with Equivariant Imaging for MRI.
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Deep Equilibrium (DEQ) algorithms for image deblurring
Deep Equilibrium (DEQ) algorithms for image deblurring