Surface YOLO preflight in Detection Lab

2026-07-06 10:52:26 +02:00
parent 58608383cd
commit 7aa9382c9e
14 changed files with 275 additions and 1 deletions
@@ -19,6 +19,7 @@
 - Hardened the AI Docker runtime with OpenCV native libraries required by Ultralytics and made YOLO dependency detection use real imports instead of optimistic module discovery.
 - Added a writable `YOLO_CONFIG_DIR` default under application storage so Ultralytics does not fall back to root user config paths in Docker/Unraid.
 - Added YOLO preflight runtime diagnostics for dependency assumption state, model directory, `YOLO_CONFIG_DIR`, installed `torch`/`ultralytics` versions and CUDA availability without running inference or downloading weights.
+- Added a canonical `GET /api/v1/detection/yolo/preflight` endpoint and Detection Lab panel so operators can inspect live YOLO runtime readiness from the web UI.
 - Added static regression coverage for the road basemap, attribution, basemap policy notice, database layer selector and persisted operational GIS workflow wiring.

 ## Sprint 115 QA/QC and Exports usability layout pass (2026-07-04)