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PyTorch
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Components
2
Detect Objects (TorchServe)
JPEG-encodes each Image and posts it to a TorchServe-hosted detection model, parsing the JSON response into one per-detection record, then projecting that record onto the connected output shape: boxes, geometry, labels, a count, or an overlay, filtered by confidence.
Classify Image (TorchServe)
Classifies each Image through a TorchServe-hosted model archive; the ranked result projects onto the connected arm: Classification, [Classification], String, [DetectedClass], UInt64, or [Double].