Inference Overlay: Difference between revisions

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<div class="fullwidth">[[File:Treesmask.jpg|Trees detected with Inference Overlay.]]</div>
[[File:Treesmask.jpg|thumb|right|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 [[Stride fraction (Inference Overlay)|configurable stride]].  
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 [[Stride fraction (Inference Overlay)|configurable stride]].  


Revision as of 15:01, 18 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 Digital Terrain Model Overlay (DTM), a WCS Overlay representing the DSM, Combo Overlay to combine these and an optionally an iterative Max Overlay to enhance the foliage height. For more information, see this how-to.

How-to's

See also

Inference Overlay
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Inference Overlay
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Tutorials
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Overview
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Theory
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Benchmarks
Group
Inference
Neural Network • Input tensor • Output tensor
Model attributes
Bbox overlap • Inference mode • Mask threshold • Score threshold • Stride fraction
Prequels
A • B
Result types
Boxes • Labels • Masks • Scores • Debug gt instances
Neural Networks
Foliage • Solar panels
Overlays
Categorization
Grid • Parent • Result Child • Result Parent • Result type
Default
City
Administrative
Ownership • Ownership Grid • Zipcodes • Zoning • Neighborhoods • Municipalities • Vacancy
Environmental
Heat Stress • Traffic Density • Traffic Noise • Traffic NO2 • Livability
Water
Rainfall • Flooding • Groundwater • Subsidence • Watershed
Grid Calculation
Average • Combo • Distance • Sight Distance • Travel Distance • Inference • Iteration
Geo Data
GeoTIFF • WCS • WMS • Image • Area • Attribute • Function
Topography
Satellite • Digital Surface Model • Digital Terrain Model • Underground • Source
Network
Network Distance • Network Overview • Network Ownership


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