feat(segmentation): add minimal SegmentationEvaluator prototype (non-…#551
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feat(segmentation): add minimal SegmentationEvaluator prototype (non-…#551Venuenugula wants to merge 1 commit into
Venuenugula wants to merge 1 commit into
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…breaking) - Introduces SegmentationEvaluator to extract common evaluation loop (dataset iteration + model.predict + metrics aggregation) - Integrated only into TorchImageSegmentationModel.eval() default path - Advanced evaluation paths (ontology translation, saving, per-sample metrics) remain unchanged - No dataset/model interface changes - No evaluation output changes This is a minimal, incremental step to reduce duplication and enable future extension (e.g., TF/ONNX support) without large refactors. Made-with: Cursor
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This PR introduces a minimal SegmentationEvaluator that extracts the common
evaluation loop (dataset iteration + model.predict + metrics update).
Scope is intentionally limited:
Goal is to validate this abstraction incrementally before extending it to
other backends (TF/ONNX).