:py:mod:`anomalib.post_processing.normalization.min_max`
========================================================

.. py:module:: anomalib.post_processing.normalization.min_max

.. autoapi-nested-parse::

   Tools for min-max normalization.



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


Functions
~~~~~~~~~

.. autoapisummary::

   anomalib.post_processing.normalization.min_max.normalize



.. py:function:: normalize(targets: Union[numpy.ndarray, torch.Tensor, numpy.float32], threshold: Union[numpy.ndarray, torch.Tensor, float], min_val: Union[numpy.ndarray, torch.Tensor, float], max_val: Union[numpy.ndarray, torch.Tensor, float]) -> Union[numpy.ndarray, torch.Tensor]

   Apply min-max normalization and shift the values such that the threshold value is centered at 0.5.