ClassificationNode
===================

Overview
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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
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- 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
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- Annotated Image (ColorImage)
- Classification Count (Int)
- Status (String)

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