gnn_tracking.postprocessing.clusterscanner#
Classes#
Base class for cluster scanners. Use any of its subclasses. |
|
Combine multiple ClusterScanner objects. |
Module Contents#
- class gnn_tracking.postprocessing.clusterscanner.ClusterScanner(*args, **kwargs)#
Bases:
pytorch_lightning.core.mixins.hparams_mixin.HyperparametersMixin
,abc.ABC
Base class for cluster scanners. Use any of its subclasses.
- abstract __call__(data: torch_geometric.data.Data, out: dict[str, torch.Tensor], i_batch: int) None #
- reset() None #
- get_foms() dict[str, Any] #
- class gnn_tracking.postprocessing.clusterscanner.CombinedClusterScanner(scanners: list[ClusterScanner])#
Bases:
ClusterScanner
Combine multiple ClusterScanner objects.
- _scanners#
- __call__(*args, **kwargs)#
- reset() None #
- get_foms() dict[str, Any] #