modosaic.segmentation.preconfigured_modality

modosaic.segmentation.preconfigured_modality

build_preconfigured_segmentation_modality

build_preconfigured_segmentation_modality()

Build the default segmentation modality.

Returns:

Type	Description
ConfiguredModality[list[ndarray]]	Configured segmentation modality with mask-statistics and RGB-boundary
ConfiguredModality[list[ndarray]]	validators.

Source code in modosaic/segmentation/preconfigured_modality.py

def build_preconfigured_segmentation_modality() -> ConfiguredModality[list[np.ndarray]]:
    """Build the default segmentation modality.

    Returns:
        Configured segmentation modality with mask-statistics and RGB-boundary
        validators.
    """
    return ConfiguredModality(
        modality=Modalities.SEGMENTATION,
        model=SegmentationGeneratorFactory.get(),
        postprocessor=SegmentationPostprocessor(),
        validators=[
            ValidatorStep(
                validator=MaskStatsValidator(),
                constraint=ValidationConstraint(
                    minimum=SEGMENTATION_MASK_QUALITY_MINIMUM,
                    score_name="weighted_mask_quality",
                    score_fn=_mask_quality_score,
                ),
            ),
            ValidatorStep(
                validator=SegRgbEdgeOverlapValidator(),
                constraint=ValidationConstraint(
                    minimum=SEGMENTATION_BOUNDARY_F1_MINIMUM,
                    score_name="rgb_boundary_f1",
                    score_fn=boundary_f1_score,
                ),
            ),
        ],
    )