:py:mod:`anomalib.data.inference`
=================================

.. py:module:: anomalib.data.inference

.. autoapi-nested-parse::

   Inference Dataset.



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

Classes
~~~~~~~

.. autoapisummary::

   anomalib.data.inference.InferenceDataset




.. py:class:: InferenceDataset(path: Union[str, pathlib.Path], pre_process: Optional[anomalib.pre_processing.PreProcessor] = None, image_size: Optional[Union[int, Tuple[int, int]]] = None, transform_config: Optional[Union[str, albumentations.Compose]] = None)

   Bases: :py:obj:`torch.utils.data.dataset.Dataset`

   Inference Dataset to perform prediction.

   .. py:method:: __len__(self) -> int

      Get the number of images in the given path.


   .. py:method:: __getitem__(self, index: int) -> Any

      Get the image based on the `index`.