robokudo.annotators.filter

Filter annotator for RoboKudo.

This module provides an annotator for filtering annotations based on custom conditions. It supports:

  • Dynamic filtering through callable functions

  • Custom filter arguments

  • In-place annotation list modification

  • Flexible condition evaluation

The module is used for:

  • Annotation filtering

  • Data preprocessing

  • Result refinement

  • Conditional processing

Classes

FilterAnnotator

Annotator for applying filter conditions to annotations.

Module Contents

class robokudo.annotators.filter.FilterAnnotator(name='FilterAnnotator', descriptor=Descriptor())

Bases: robokudo.annotators.core.BaseAnnotator

Annotator for applying filter conditions to annotations.

This annotator applies a provided filter function to the current set of annotations, modifying the annotation list in-place based on the filter results.

Variables:

descriptor – Configuration descriptor containing filter parameters

class Descriptor

Bases: robokudo.annotators.core.BaseAnnotator.Descriptor

Configuration descriptor for filter annotator.

Variables:

parameters – Filter parameters

class Parameters

Parameter container for filter configuration.

Variables:

  • func – Filter function to apply

  • func_args – Positional arguments for filter function

  • func_kwargs – Keyword arguments for filter function

func = None
func_args = None
func_kwargs = None
parameters
update()

Apply the filter function to current annotations.

The filter function is applied to each annotation with the configured arguments. Only annotations that pass the filter are kept.

Returns:

SUCCESS status

Return type:

py_trees.Status