get_footprints# crispy.pruning.structures.get_footprints(ndim, width=5, dtype=<class 'numpy.uint8'>)[source]# Generate a footprint array representing connectivity in 2D or 3D space. Parameters: ndim (int) – The number of dimensions (2 or 3). width (int, optional) – The size of the footprint array along each dimension. Defaults to 5. dtype (data-type, optional) – The desired data type of the footprint array. Defaults to np.uint8. Returns: footprint – A binary array of ones representing the connectivity footprint. Return type: ndarray
