Spatial Augmentations

class tormentor.Perspective(aug_id=None, seed=None)

Applies a perspective transformation on the data by moving the corners of an image.

This augmentation is parametrised by two random variables x_offset and y_offset which are the multipliers of each of the image corners corners (-1, -1), (1, -1), (1, 1), and (-1, 1).

class tormentor.Rotate(aug_id=None, seed=None)

Rotates the image around the center.

class tormentor.Zoom(aug_id=None, seed=None)

Augments by scaling images preserving their aspect ratio.

class tormentor.Scale(aug_id=None, seed=None)

Augmentation by scaling images preserving aspect ratio.

class tormentor.Translate(aug_id=None, seed=None)

Augmentation by translating images.

class tormentor.ScaleTranslate(aug_id=None, seed=None)

Augmentation by scaling and translating images preserving aspect ratio.

class tormentor.Flip(aug_id=None, seed=None)

Implementation of augmentation by flipping the X or Y axis.

class tormentor.ElasticTransform(aug_id=None, seed=None)

Augmentation ElasticTransform.

This augmentation does not guaranty to be a homomorphism. In order for the augmentation to behave as a homomorphism, harmonic_smoothing must be quite low. On the other hand, the complexity of the operation is n**2 with respect to harmonic_smoothing or n log(n) depending of how the gaussian filters are implemented.

class tormentor.Wrap(aug_id=None, seed=None)

Augmentation Wrap.

This augmentation acts like many simultaneous elastic transforms with gaussian sigmas set at varius harmonics.

Distributions:

roughness: Quantification of the local inconsistency of the distortion effect. intensity: Quantification of the intensity of the distortion effect.

class tormentor.Shred(aug_id=None, seed=None)