AverageBlur#
- class deeptrack.math.AverageBlur(ksize: int | Callable[[...], int] = 3, **kwargs)#
Bases:
Blur
Blur an image by computing simple means over neighbourhoods.
Performs a (N-1)D convolution if the last dimension is smaller than the kernel size.
Parameters#
- ksizeint
Kernel size to use.
Methods Summary
get
(input, ksize, **kwargs)Transform an image [abstract method].
Methods Documentation
- get(input, ksize, **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.