82f71fcc96
Stage 04 frame extract:
- New lib_frame_qc.py: per-frame Laplacian/contrast/blue-dominance scoring
- Classes: bottom_visible / water_no_bottom / turbid_water / out_of_water
- Sample 1/5 frames after extraction, write qc.json per segment
- Record metrics (frames_total, frames_bottom_visible, bottom_visible_pct)
- Mark job degraded when bottom_visible_pct < 50%
Per-AUV viser view:
- scripts/viser_auv.py loads all PLYs of an AUV, color per file
- POST /pipeline/missions/{id}/auvs/{auv}/view rsyncs ply -> worker
- launches viser on hashed port 9300+, returns URL
- _pipeline.html exposes AUV list, JS handler opens viser tab
cosma-pipeline
Pipeline autonome de reconstruction COSMA.
Structure
pipeline/
├── config/ # Seuils QA + params par défaut (versionnés)
├── orchestrator/ # DB SQLite, dispatcher, FastAPI
├── stages/ # Modules indépendants 01..08
├── qa/ # Vérifications pass/fail/degraded
└── cron/ # Auto-itération 6h
Usage rapide
# 1. Ingest
python3 pipeline/stages/01_ingest.py /mnt/ssd/20260505-Lepradet --name 20260505-Lepradet
# 2. Parse USBL
python3 pipeline/stages/02_usbl_parse.py /home/cosma/cosma-pipeline/20260505-Lepradet/manifest.json
# 3. Filter
python3 pipeline/stages/03_usbl_filter.py /home/cosma/cosma-pipeline/20260505-Lepradet/02_usbl_raw/
Notes données
logs/SUB/log/*_usbl.csv= bytes série bruts (Waterlinked M64), PAS lat/lon- Navigation réelle dans
logs/SUB/bag/*.mcap(ROS2 MCAP) - Mapping AUV : vidéos utilisent AUV2xx, bags utilisent AUV0xx (même 2 derniers chiffres)