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

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

.. autoapi-nested-parse::

   Helper functions for generating Perlin noise.



Module Contents
---------------


Functions
~~~~~~~~~

.. autoapisummary::

   anomalib.data.utils.generators.perlin.lerp_np
   anomalib.data.utils.generators.perlin.rand_perlin_2d_octaves_np
   anomalib.data.utils.generators.perlin.generate_perlin_noise_2d
   anomalib.data.utils.generators.perlin.random_2d_perlin
   anomalib.data.utils.generators.perlin._rand_perlin_2d_np
   anomalib.data.utils.generators.perlin._rand_perlin_2d
   anomalib.data.utils.generators.perlin.rand_perlin_2d_octaves



.. py:function:: lerp_np(x, y, w)

   Helper function.


.. py:function:: rand_perlin_2d_octaves_np(shape, res, octaves=1, persistence=0.5)

   Generate Perlin noise parameterized by the octaves method. Numpy version.


.. py:function:: generate_perlin_noise_2d(shape, res)

   Fractal perlin noise.


.. 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]


.. py:function:: _rand_perlin_2d_np(shape, res, fade=lambda t: 6 * t**5 - 15 * t**4 + 10 * t**3)

   Generate a random image containing Perlin noise. Numpy version.


.. py:function:: _rand_perlin_2d(shape, res, fade=lambda t: 6 * t**5 - 15 * t**4 + 10 * t**3)

   Generate a random image containing Perlin noise. PyTorch version.


.. py:function:: rand_perlin_2d_octaves(shape, res, octaves=1, persistence=0.5)

   Generate Perlin noise parameterized by the octaves method. PyTorch version.