Torch Dataclasses

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.

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#

Batch#

InferenceBatch#

ToNumpyMixin#

Image Classes#

ImageItem#

ImageBatch#

Video Classes#

VideoItem#

VideoBatch#

Depth Classes#

DepthItem#

DepthBatch#

See Also#