Reference Guide#
This section contains the API and CLI reference for anomalib.
Core Components#
Data
Core component for data handling and datasets.
Models
Anomaly detection model implementations.
Engine
Core training and inference engine.
Processing & Analysis#
Pre-processing
Data preparation and augmentation.
Post-processing
Anomaly map processing and thresholding.
Metrics
Performance evaluation metrics.
Framework Components#
Loggers
Experiment logging and tracking.
Callbacks
Training callbacks and hooks.
Pipelines
Training and optimization pipelines.
Visualization
Result visualization tools.
Utils
Utility functions and helpers.
CLI
Command line interface tools.
Inference
Model inference and optimization.