robokudo.annotators.outlier_removal_objecthypothesis¶

Classes¶

OutlierRemovalOnObjectHypothesisAnnotator

Module Contents¶

class robokudo.annotators.outlier_removal_objecthypothesis.OutlierRemovalOnObjectHypothesisAnnotator(name='OutlierRemovalOnObjectHypothesis', descriptor=Descriptor())¶

Bases: robokudo.annotators.core.BaseAnnotator

class Descriptor¶

Bases: robokudo.annotators.core.BaseAnnotator.Descriptor

class Parameters¶

dbscan_neighbors = 90¶

dbscan_epsilon = 0.02¶

stat_neighbors = 200¶

stat_std = 0.5¶

skip_removal_on_classes = []¶

parameters¶

dyn_rec_callback(config, level)¶

ddynrec¶

update() → py_trees.Status¶: Called every time the behavior is ticked.

cluster_statistical_outlierremoval_pcd()¶

Perform outlier removal and clustering on each object hypothesis.

Returns:: True, if atleast one of the object hypotheses could be optimized. False otherwise.