:py:mod:`anomalib.data.utils.generators`
========================================

.. py:module:: anomalib.data.utils.generators

.. autoapi-nested-parse::

   Utilities to generate synthetic data.



Submodules
----------
.. toctree::
   :titlesonly:
   :maxdepth: 1

   perlin/index.rst


Package Contents
----------------


Functions
~~~~~~~~~

.. autoapisummary::

   anomalib.data.utils.generators.random_2d_perlin



.. py:function:: random_2d_perlin(shape: Tuple, res: Tuple[Union[int, torch.Tensor], Union[int, torch.Tensor]], fade=lambda t: 6 * t**5 - 15 * t**4 + 10 * t**3) -> Union[numpy.ndarray, torch.Tensor]

   Returns a random 2d perlin noise array.

   :param shape: Shape of the 2d map.
   :type shape: Tuple
   :param res: Tuple of scales for perlin noise for height and width dimension.
   :type res: Tuple[Union[int, Tensor]]
   :param fade: Function used for fading the resulting 2d map.
                Defaults to equation 6*t**5-15*t**4+10*t**3.
   :type fade: _type_, optional

   :returns: Random 2d-array/tensor generated using perlin noise.
   :rtype: Union[np.ndarray, Tensor]