:py:mod:`anomalib.models.draem.utils.perlin`
============================================

.. py:module:: anomalib.models.draem.utils.perlin

.. autoapi-nested-parse::

   Helper functions for generating Perlin noise.



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


Functions
~~~~~~~~~

.. autoapisummary::

   anomalib.models.draem.utils.perlin.lerp_np
   anomalib.models.draem.utils.perlin.rand_perlin_2d_octaves_np
   anomalib.models.draem.utils.perlin.generate_perlin_noise_2d
   anomalib.models.draem.utils.perlin.rand_perlin_2d_np
   anomalib.models.draem.utils.perlin.rand_perlin_2d
   anomalib.models.draem.utils.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:: 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.