Deep learning for NeuroImaging in Python.
Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the gallery for the big picture.
- surfify.augmentation.utils.apply_chained_transforms(data, transforms, *args, **kwargs)[source]ΒΆ
Function to apply a series of transforms to some data.
- Parameters:
data : array (N, ) or (n_channels, N)
the input data.
transforms : list of BaseTransformer.Transform
list of transforms to apply.
- Returns:
_data : array (N, ) or (n_channels, N)
the transformed input data.
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