:py:mod:`wsinfer.modellib.data`
===============================

.. py:module:: wsinfer.modellib.data


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

Classes
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.. autoapisummary::

   wsinfer.modellib.data.WholeSlideImagePatches




.. py:class:: WholeSlideImagePatches(wsi_path: str | pathlib.Path, patch_path: str | pathlib.Path, transform: Callable[[PIL.Image.Image], torch.Tensor] | None = None)


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

   Dataset of one whole slide image.

   This object retrieves patches from a whole slide image on the fly.

   :param wsi_path: Path to whole slide image file.
   :type wsi_path: str, Path
   :param patch_path: Path to npy file with coordinates of input image.
   :type patch_path: str, Path
   :param transform: A callable to modify a retrieved patch. The callable must accept a
                     PIL.Image.Image instance and return a torch.Tensor.
   :type transform: callable, optional

   .. py:method:: worker_init(worker_id: int | None = None) -> None


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


   .. py:method:: __getitem__(idx: int) -> tuple[PIL.Image.Image | torch.Tensor, torch.Tensor]