- batch_runner: _store_to_db after each camera (not just at end)
- dashboard: Flask app with templates/index.html
- Single-camera full-screen live stream with auto-switch
- DB history panel in sidebar
- store_results.py: standalone script for existing reports
- Auto-detect active camera by polling frame_index
- Show All Cameras Total accumulation in sidebar
- Show per-camera totals in camera list
- Add run_date to stats.json and display in dashboard
- Pipeline: thread run_date through build/run/batch
- Return early when tracks list is empty
- Fast-reject centroid by bounding rect before pointPolygonTest
- Purge stale tracks every 30 frames instead of every frame
- Skip deque append when trail_length == 0
- Remove shared DetectionTracker across cameras to prevent state leakage
- Add task="detect" to YOLO constructor to suppress warning
- Add export_engine.py script for .pt to .engine conversion
- Regenerate ONNX and TensorRT engine with latest settings
proitlab