Binarize

class hybrid_learning.datasets.transforms.image_transforms.Binarize(threshold=0.5, val_low_class=0.0, val_high_class=1.0)[source]

Simple class for binarizing tensors into high and low class values. This is an alias for Threshold. See there for details.

Public Data Attributes:

Inherited from : py: class:Threshold

settings

Settings to reproduce instance.

Inherited from : py: class:Transform

`IDENTITY_CLASS`	The identity class or classes for composition / addition.
`settings`	Settings to reproduce instance.

Public Methods:

Inherited from : py: class:Threshold

apply_to(input_tensor)

Binarize input_tensor according to the settings.

Inherited from : py: class:ImageTransform

apply_to(input_tensor)

Binarize input_tensor according to the settings.

Inherited from : py: class:Transform

apply_to(input_tensor)

Binarize input_tensor according to the settings.

Special Methods:

Inherited from : py: class:Threshold

__init__([threshold, val_low_class, ...])

Init.

Inherited from : py: class:ImageTransform

__call__(img)

Application of transformation.

Inherited from : py: class:Transform

`__repr__`()	Return repr(self).
`__eq__`(other)	Return self==value.
`__copy__`()	Return a shallow copy of self using settings.
`__add__`(other)	Return a flat composition of `self` with `other`.
`__radd__`(other)	Return a flat composition of `other` and `self`.
`__call__`(img)	Application of transformation.

Parameters