| """ | |
| qdot/perception/__init__.py | |
| =========================== | |
| Phase 1 — Perception & Physics layer. | |
| Public surface: | |
| DQCGatekeeper — data quality classifier (Layer 3 entry point) | |
| InspectionAgent — full perception pipeline (DQC → features → CNN → OOD → report) | |
| TinyCNN — 3-class primary classifier | |
| EnsembleCNN — 5-model ensemble with uncertainty quantification | |
| MahalanobisOOD — out-of-distribution detector | |
| CIMDataset — synthetic training data generator | |
| """ | |
| from qdot.perception.dqc import DQCGatekeeper | |
| from qdot.perception.classifier import TinyCNN, EnsembleCNN | |
| from qdot.perception.ood import MahalanobisOOD | |
| from qdot.perception.inspector import InspectionAgent | |
| from qdot.perception.dataset import CIMDataset, DatasetConfig | |
| __all__ = [ | |
| "DQCGatekeeper", | |
| "TinyCNN", | |
| "EnsembleCNN", | |
| "MahalanobisOOD", | |
| "InspectionAgent", | |
| "CIMDataset", | |
| "DatasetConfig", | |
| ] | |