`anomalib.models.stfpm.lightning_model`¶

STFPM: Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection.

Module Contents¶

PL Lightning Module for the STFPM algorithm.

class anomalib.models.stfpm.lightning_model.StfpmLightning(hparams: Union[omegaconf.DictConfig, omegaconf.ListConfig])[source]¶

Bases: Stfpm

PL Lightning Module for the STFPM algorithm.

Parameters: hparams (Union[DictConfig, ListConfig]) – Model params

configure_callbacks()[source]¶: Configure model-specific callbacks.

Note

This method is used for the existing CLI. When PL CLI is introduced, configure callback method will be

deprecated, and callbacks will be configured from either config.yaml file or from CLI.

configure_optimizers() → torch.optim.Optimizer[source]¶

Configures optimizers for each decoder.

Note

This method is used for the existing CLI. When PL CLI is introduced, configure optimizers method will be

deprecated, and optimizers will be configured from either config.yaml file or from CLI.