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The previous commit was meant to remove .github/workflows and removed
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Torch Dataclasses

The torch dataclasses module provides PyTorch-based implementations of the generic dataclasses used in Anomalib. These classes are designed to work with PyTorch tensors for efficient data handling and processing in anomaly detection tasks.

.. currentmodule:: anomalib.data.dataclasses.torch

Overview

The module includes several categories of dataclasses:

Base Classes: Generic PyTorch-based data structures
Image Classes: Specialized for image data processing
Video Classes: Designed for video data handling
Depth Classes: Specific to depth-based anomaly detection

Base Classes

DatasetItem

.. autoclass:: DatasetItem
   :members:
   :show-inheritance:

Batch

.. autoclass:: Batch
   :members:
   :show-inheritance:

InferenceBatch

.. autoclass:: InferenceBatch
   :members:
   :show-inheritance:

ToNumpyMixin

.. autoclass:: ToNumpyMixin
   :members:
   :show-inheritance:

Image Classes

ImageItem

.. autoclass:: ImageItem
   :members:
   :show-inheritance:

ImageBatch

.. autoclass:: ImageBatch
   :members:
   :show-inheritance:

Video Classes

VideoItem

.. autoclass:: VideoItem
   :members:
   :show-inheritance:

VideoBatch

.. autoclass:: VideoBatch
   :members:
   :show-inheritance:

Depth Classes

DepthItem

.. autoclass:: DepthItem
   :members:
   :show-inheritance:

DepthBatch

.. autoclass:: DepthBatch
   :members:
   :show-inheritance:

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