Inference Overlay: Difference between revisions

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* [[PyTorch]]
* [[PyTorch]]
|howtos=
|howtos=
* [[How to detect foliage using an Inference Overlay]]
* [[How to import trees based on an Inference Overlay]]
* [[How to import trees based on an Inference Overlay]]
* [[How to use the Inference Overlay to detect and add solar panels to buildings based on a Satellite Overlay]]
* [[How to use the Inference Overlay to detect and add solar panels to buildings based on a Satellite Overlay]]

Revision as of 14:19, 15 October 2024

Trees detected with Inference Overlay.

The AI Inference Overlay is a Grid Overlay which can spatially identify features using one or more Prequel Grids. Features are identified using a Convolution Neural Network. This neural network takes a subsection (window) of the input grid and either classifies or detects one or more objects in that window. The window of detection marches over the input grid with a configurable stride.

Foliage Example

Animation of inference with a moving window and Bounding Box detection.

Using a Satellite Overlay of 0.1m detail, foliage features can be identified using an Inference Overlay and enhanced with a DTM, DSM, Combo Overlay to combine these and an optional iterative Max Overlay. For more information, see this how-to.