Box overlap (Inference Overlay): Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
(2 intermediate revisions by the same user not shown) | |||
Line 6: | Line 6: | ||
|defaultvalue=1.0 | |defaultvalue=1.0 | ||
|range=0.0 or 1.0 | |range=0.0 or 1.0 | ||
|icon= | |icon=inferencewizard_icon_box_overlap.png | ||
}}</onlyinclude>}} | }}</onlyinclude>}} | ||
Line 12: | Line 12: | ||
|notes= | |notes= | ||
*When this option is set to false and given identified features' bounding boxes overlap, the identified features with the lowest scores are discarded. | *When this option is set to false and given identified features' bounding boxes overlap, the identified features with the lowest scores are discarded. | ||
* | *{{Neural network metadata|BOX_OVERLAP}} | ||
}} | }} | ||
{{InferenceOverlay nav}} | {{InferenceOverlay nav}} |
Latest revision as of 13:58, 17 December 2024
Icon | Attribute | Unit | Range | Description | Default value |
---|---|---|---|---|---|
BOX_OVERLAP | boolean | 0.0 or 1.0 | Whether bounding boxes of identified features are allowed to overlap. | 1.0 |
Notes
- When this option is set to false and given identified features' bounding boxes overlap, the identified features with the lowest scores are discarded.
- Trained Neural Networks can override the default value of this attribute, by specifying it in the meta data using the BOX_OVERLAP attribute name as its key.