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feat: add native EfficientAD support - #165

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DeepKnowledge1 wants to merge 23 commits into
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feat/efficientad
Closed

feat: add native EfficientAD support#165
DeepKnowledge1 wants to merge 23 commits into
mainfrom
feat/efficientad

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@DeepKnowledge1

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Summary

  • add EfficientAD as a first-class AnomaVision algorithm
  • preserve the existing train/detect/eval/export workflow
  • support algorithm: efficientad and model.name: efficientad
  • add EfficientAD configuration, docs, example, and tests

Validation

  • PaDiM/PatchCore training paths remain routed through their existing implementations
  • EfficientAD has fit/predict contract tests and config selector tests
  • CI is enabled by opening this draft PR

Note: EfficientAD has a different score distribution and therefore requires its own threshold calibration; numerical scores are not expected to match PaDiM.

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