Prioritize labels (Inference Overlay): Difference between revisions
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(Created page with "{{Overlay attributes|<onlyinclude> {{Overlay attributes|type=row|overlay=Inference |attribute=PRIORITIZE_LABELS |unit=boolean |description=Whether overlapping identified objects should select the ones that have the lowest label. |defaultvalue=1.0 |range=0.0 or 1.0 |icon=inferencewizard_icon_prioritize_labels.png }}</onlyinclude>}} {{article end |notes= * When this option is set to true, the identified objects are sorted based on their label, then on their score and the...") |
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|attribute=PRIORITIZE_LABELS | |attribute=PRIORITIZE_LABELS | ||
|unit=boolean | |unit=boolean | ||
|description=Whether overlapping identified | |description=Whether overlapping identified features should be processed in the order of their label value. | ||
|defaultvalue=1.0 | |defaultvalue=1.0 | ||
|range=0.0 or 1.0 | |range=0.0 or 1.0 | ||
| Line 11: | Line 11: | ||
{{article end | {{article end | ||
|notes= | |notes= | ||
* When this option is set to true, the identified | * Identified features are | ||
* When this option is set to false, the identified | * When this option is set to true, the identified features are sorted based on their label, then on their score and then on their size. | ||
* | * When this option is set to false, the identified features are still sorted based on their score and then based on their size. | ||
*{{Neural network metadata|PRIORITIZE_LABELS}} | |||
}} | }} | ||
{{InferenceOverlay nav}} | {{InferenceOverlay nav}} | ||
Latest revision as of 14:00, 17 December 2024
| Icon | Attribute | Unit | Range | Description | Default value |
|---|---|---|---|---|---|
 |
PRIORITIZE_LABELS | boolean | 0.0 or 1.0 | Whether overlapping identified features should be processed in the order of their label value. | 1.0 |
Notes
- Identified features are
- When this option is set to true, the identified features are sorted based on their label, then on their score and then on their size.
- When this option is set to false, the identified features are still sorted based on their score and then based on their size.
- Trained Neural Networks can override the default value of this attribute, by specifying it in the meta data using the PRIORITIZE_LABELS attribute name as its key.
