Inference Module

The Inference Module of the Inference Overlay is responsible for applying the convolution network on subsections of prequel grids configured for the Inference Overlay. The size of the subsection is defined by the input tensors of the neural network. The marching speed of this subsection is defined by the STRIDE_FRACTION attribute.

How-to's

• How to detect foliage using an Inference Overlay
• How to import trees based on an Inference Overlay
• How to create foliage height based on an Inference Overlay
• How to detect solar panels using an Inference Overlay
• How to create the input overlay for leafless trees detection using the Inference Overlay
• How to train your own AI model for an Inference Overlay
• How to select specific input data for AI Inference

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Inference Overlay

Inference Overlay

Tutorials

Overview

Theory

Benchmarks

Group

Model attributes

Inference

Neural Network • Input tensor • Output tensor

Model attributes

Box overlap • Inference mode • Mask threshold • Prioritize labels • Score threshold • Stride fraction

Prequels

A • B

Result types

Boxes • Labels • Masks • Scores • Debug gt instances • Center points

Neural Networks

Foliage • Solar panels