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Numpy Dataclasses

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

.. currentmodule:: anomalib.data.dataclasses.numpy

Overview

The module includes several categories of dataclasses:

Base Classes: Generic numpy-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

NumpyItem

.. autoclass:: NumpyItem
   :members:
   :show-inheritance:

NumpyBatch

.. autoclass:: NumpyBatch
   :members:
   :show-inheritance:

Image Classes

NumpyImageItem

.. autoclass:: NumpyImageItem
   :members:
   :show-inheritance:

NumpyImageBatch

.. autoclass:: NumpyImageBatch
   :members:
   :show-inheritance:

Video Classes

NumpyVideoItem

.. autoclass:: NumpyVideoItem
   :members:
   :show-inheritance:

NumpyVideoBatch

.. autoclass:: NumpyVideoBatch
   :members:
   :show-inheritance:

Depth Classes

NumpyDepthItem

.. autoclass:: NumpyDepthItem
   :members:
   :show-inheritance:

NumpyDepthBatch

.. autoclass:: NumpyDepthBatch
   :members:
   :show-inheritance:

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