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

.. py:module:: anomalib.data.utils.image

.. autoapi-nested-parse::

   Image Utils.



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


Functions
~~~~~~~~~

.. autoapisummary::

   anomalib.data.utils.image.get_image_filenames
   anomalib.data.utils.image.read_image
   anomalib.data.utils.image.pad_nextpow2



.. py:function:: get_image_filenames(path: Union[str, pathlib.Path]) -> List[str]

   Get image filenames.

   :param path: Path to image or image-folder.
   :type path: Union[str, Path]

   :returns: List of image filenames
   :rtype: List[str]


.. py:function:: read_image(path: Union[str, pathlib.Path]) -> numpy.ndarray

   Read image from disk in RGB format.

   :param path: path to the image file
   :type path: str, Path

   .. rubric:: Example

   >>> image = read_image("test_image.jpg")

   :returns: image as numpy array


.. py:function:: pad_nextpow2(batch: torch.Tensor) -> torch.Tensor

   Compute required padding from input size and return padded images.

   Finds the largest dimension and computes a square image of dimensions that are of the power of 2.
   In case the image dimension is odd, it returns the image with an extra padding on one side.

   :param batch: Input images
   :type batch: Tensor

   :returns: Padded batch
   :rtype: batch