Inference mode (Inference Overlay): Difference between revisions
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|attribute=INFERENCE_MODE | |attribute=INFERENCE_MODE | ||
|unit=nominal value | |unit=nominal value | ||
|description=The type of inference | |description=The type of inference used by the configured [[Region-based Convolutional Neural Network (Inference Overlay)|Region-based Convolutional Neural Network]] of an [[Inference Overlay]]. | ||
|icon=inferencewizard_icon_inference_mode.png | |icon=inferencewizard_icon_inference_mode.png | ||
|defaultvalue=0 ( | |defaultvalue=0 (Classification) | ||
|range=0 or 1 | |||
}}</onlyinclude>}} | }}</onlyinclude>}} | ||
[[File:inference_foliage_animated.gif|frame|Animation of inference with a moving window, [[Inference mode (Inference Overlay)|BBox detection]] and a [[Stride fraction (Inference Overlay)|stride]] of 50%.]] | [[File:inference_foliage_animated.gif|frame|Animation of inference with a moving window, [[Inference mode (Inference Overlay)|BBox detection]] and a [[Stride fraction (Inference Overlay)|stride]] of 50%.]] | ||
{{nominal list|zeroindex=true | {{nominal list|zeroindex=true | ||
|| '''Classification''': | || '''Classification''': Classifies an image by predicting the probability that it contains specific features, such as a tree or solar panel. | ||
|| '''BBox detection''': detects several features in an image, including the probability it is a particular feature and where it is located. | || '''BBox detection''': detects several features in an image, including the probability it is a particular feature and where it is located. | ||
}} | }} | ||
{{article end | {{article end | ||
|notes=* | |notes=*{{Neural network metadata|INFERENCE_MODE}} | ||
}} | }} | ||
{{InferenceOverlay nav}} | {{InferenceOverlay nav}} | ||
Latest revision as of 11:51, 8 July 2026
| Icon | Attribute | Unit | Range | Description | Default value |
|---|---|---|---|---|---|
 |
INFERENCE_MODE | nominal value | 0 or 1 | The type of inference used by the configured Region-based Convolutional Neural Network of an Inference Overlay. | 0 (Classification) |
| 0. | Classification: Classifies an image by predicting the probability that it contains specific features, such as a tree or solar panel. |
| 1. | BBox detection: detects several features in an image, including the probability it is a particular feature and where it is located. |
Notes
- Trained Region-based Convolutional Neural Networks can override the default value of this attribute, by specifying it in the meta data using the INFERENCE_MODE attribute name as its key.