Gaussian

class deeptrack.noises.Gaussian(mu: float | Callable[[...], float] = 0, sigma: float | Callable[[...], float] = 1, **kwargs)

Bases: Noise

Adds IID Gaussian noise to an image

Parameters

mufloat

The mean of the distribution.

sigmafloat

The root of the variance of the distribution.

Methods Summary

get(image, mu, sigma, **kwargs)

Transform an image [abstract method].

Methods Documentation

get(image, mu, sigma, **kwargs)

Transform an image [abstract method].

Abstract method that defines how the feature transforms the input. The current value of all properties will be passed as keyword arguments.

Parameters

image‘Image’ or List[‘Image’]

The Image or list of images to transform.

**kwargsDict[str, Any]

The current value of all properties in properties as well as any global arguments.

Returns

‘Image’ or List[‘Image’]

The transformed image or list of images.

Raises

NotImplementedError

Must be overridden by subclasses.