ClassificationNode

Overview

Classifies saved contour crops using a Vision Transformer model and annotates the original image.

Inputs

• Original Image (GrayScaleImage)

• Crops Directory (String)

• Entropy Threshold (Float)

• Temperature (Float)

• Batch Size (Int)

Parameters

• Entropy Threshold: min 0.0, max 5.0, default 1.0. Predictions above this entropy are marked as OOD

• Temperature: min 0.1, max 3.0, default 1.5. Logit scaling before softmax; higher = softer probabilities

• Batch Size: min 1, max 256, default 64. Number of crop images per inference batch

Outputs

• Annotated Image (ColorImage)

• Classification Count (Int)

• Status (String)

Example

Run SaveContourCropsNode first, then point Crops Directory to its output.