math¶
Mathematical oprations and structures
Classses¶
- Clip
Clip the input within a minimum and a maximum value.
- NormalizeMinMax
Min-max image normalization.
Module classes¶
Clip¶
-
class
deeptrack.math.Clip(min=-inf, max=inf, **kwargs)¶ Clip the input within a minimum and a maximum value.
- Parameters
min (float) – Clip the input to be larger than this value.
max (float) – Clip the input to be smaller than this value.
-
get(image, min=None, max=None, **kwargs)¶ Method for altering an image Abstract method that define how the feature transforms the input. The current value of all properties will be passed as keyword arguments.
NormalizeMinMax¶
-
class
deeptrack.math.NormalizeMinMax(min=0, max=1, **kwargs)¶ Image normalization.
Transforms the input to be between a minimum and a maximum value using a linear transformation.
- Parameters
min (float) – The minimum of the transformation.
max (float) – The maximum of the transformation.
-
get(image, min, max, **kwargs)¶ Method for altering an image Abstract method that define how the feature transforms the input. The current value of all properties will be passed as keyword arguments.