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Project structure

  • pyproject.toml — package metadata, stable dependencies and experimental extras
  • hybrid_sample_generator/configuration/ — validated, section-based configuration
  • hybrid_sample_generator/domain/ — input and persisted study records
  • hybrid_sample_generator/persistence/ — repository, study paths and artifacts
  • hybrid_sample_generator/pipeline/ — ingestion and the public orchestration facade
  • hybrid_sample_generator/imaging/ — shared image, similarity and mask operations
  • hybrid_sample_generator/extraction/ — dimension-independent anomaly extraction
  • hybrid_sample_generator/matching/ — hybrid planning and matching cache
  • hybrid_sample_generator/generation/ — generation service, model registry, training and supported VAEs
  • hybrid_sample_generator/fusion/ — fusion service, shared preprocessing and the classical backend
  • hybrid_sample_generator/evaluation/ — pairwise metrics, outliers and reports
  • hybrid_sample_generator/datasets/ — repository-backed training datasets
  • hybrid_sample_generator/visualization/ — study browser and maintenance UI
  • examples/ — shared example helpers plus 2D image, 3D NIfTI and MVTec AD 2 workflows
  • tests/ — tests grouped by the same feature boundaries
  • experiments/ — unsupported prototypes, optional dependencies and isolated tests