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PyTorch toolbox to work with spherical surfaces.

Note

This page is a reference documentation. It only explains the class signature, and not how to use it. Please refer to the gallery for the big picture.

class surfify.augmentation.SurfNoise(sigma)[source]

Bases: RandomAugmentation

The SurfNoise adds a Gaussian white noise with standard deviation sigma.

Init class.

Parameters:

sigma : float

the noise standard deviation.

run(data)[source]

Applies the noising augmentation to the data.

Parameters:

data : array (N, )

input data/texture.

Returns:

data : arr (N, )

noised input data.

Examples

Spherical augmentations

Spherical augmentations

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