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Download sensorflow/safety/__init__.py from whassan/SensorflowStudio: direct link, hf CLI and curl.
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https://huggingface.co/spaces/whassan/SensorflowStudio/resolve/main/sensorflow/safety/__init__.py
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curl -L -o __init__.py https://huggingface.co/spaces/whassan/SensorflowStudio/resolve/main/sensorflow/safety/__init__.py
1.19 kB
| """Safety & compliance layer for Sensorflow Studio. | |
| Closes competitive feature gaps identified against AV perception evaluation | |
| platforms (Applied Intuition, Deepen AI, Scale Nucleus, Voxel51): | |
| - odd.py ODD taxonomy + combinatorial coverage (ISO 34503 / ASAM OpenODD-inspired) | |
| - ssam_ext.py Extended SSAM surrogate safety measures (FHWA SSAM: DRAC, DeltaS, | |
| MaxS, TTC/PET, Conflict Severity Index) | |
| - calibration.py Multi-sensor extrinsic calibration validation (Deepen-style gate) | |
| - gates.py Layered release gating + Safety Evidence Package (ISO 26262 / | |
| ISO 21448 SOTIF / UL 4600 mappings — the package SUPPORTS a | |
| safety case, it does not certify compliance) | |
| - discrepancy.py Online-vs-offline auto-label discrepancy mining | |
| - scenario_db.py Curated scenario database (Safety Pool-inspired, local) | |
| - semantic.py Neuro-symbolic two-stage semantic scenario mining | |
| - api.py FastAPI router exposing everything under /api/safety/* | |
| Foundation-model-style components are lightweight deterministic simulations | |
| behind clean interfaces, clearly marked as such — consistent with the rest of | |
| the platform. | |
| """ | |