`traccuracy.matchers._point_seg`

Module Contents

Classes

PointSegMatcher

A matcher that constructs a mapping from a set of points to a segmentation

Functions

match_point_to_seg(→ dict[collections.abc.Hashable, int])

For a single timepoint, identify the segmentation ids which a set of points index into

class traccuracy.matchers._point_seg.PointSegMatcher[source]

A matcher that constructs a mapping from a set of points to a segmentation array by determining if a point falls within a segmentation label.

Either the predicted data or the ground truth can contain a segmentation array, but not both. The matcher will map many points to a single segmentation label.

property info: dict[str, Any]: Dictionary of Matcher name and any parameters

compute_mapping(gt_graph: traccuracy._tracking_graph.TrackingGraph, pred_graph: traccuracy._tracking_graph.TrackingGraph) → traccuracy.matchers._matched.Matched

Run the matching on a given set of gt and pred TrackingGraph and returns a Matched object with a new copy of each TrackingGraph

Parameters:

gt_graph (traccuracy.TrackingGraph) – Tracking graph object for the gt
pred_graph (traccuracy.TrackingGraph) – Tracking graph object for the pred

Returns:

Matched data object

Return type:

matched (traccuracy.matchers.Matched)

Raises:

ValueError – gt and pred must be a TrackingGraph object

traccuracy.matchers._point_seg.match_point_to_seg(node_ids: list[collections.abc.Hashable], locs: list[list[float] | numpy.ndarray | tuple[float]], seg: numpy.ndarray) → dict[collections.abc.Hashable, int][source]