floppyrj45/cosma-qc
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auto-iter-20260513-1639
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16 Commits

Author SHA1 Message Date
Poulpe
c55700677e auto-iter 2026-05-13: offload_to_cpu=false (.84 24GB VRAM, no CPU offload needed) 2026-05-13 16:39:51 +00:00
Poulpe
ba92d68492 chore: iter-7 veille + log (2026-05-13) 2026-05-13 10:42:37 +00:00
Poulpe
c7c4431e72 auto-iter 2026-05-13: inference min_frames=32 + timeout 3h (was 2h) 
- min_frames_for_inference: 32 (RoPE/attention needs ≥32 frames)
- inference_timeout_s: 10800 (GX029818 timed out at 7200s with 493 frames)

Authored-by: Poulpe <claude@nowyouknow.fr>
 2026-05-13 10:36:28 +00:00
Poulpe
1f1502e67c auto-iter 2026-05-12: log iter-5 + veille + merge PR#10 fix streaming params 2026-05-12 22:49:59 +00:00
Ubuntu
81752163d2 Merge branch 'fix/05-inference-yaml-params' into feature/auto-pipeline 2026-05-12 22:46:30 +00:00
Poulpe
c06dd774ac auto-iter 2026-05-12: log iter-4 + veille 2026-05-12 16:43:05 +00:00
Poulpe
3a6b058f0d fix: 05_inference.py lit thresholds.yaml[inference] au lieu de windowed hardcodé 
- Ajoute _load_inference_cfg() qui lit config/thresholds.yaml
- Mode/conf/keyframe_interval/max_frame_num depuis config (streaming par défaut)
- Valide par GX049839_v2: streaming+conf=1.5+kf=1 → 146M pts vs 0 pts en windowed sans conf_threshold
- Ajoute --offload_to_cpu (stable sur RTX 3090 .84)
 2026-05-12 16:38:33 +00:00
Poulpe
8880c28af9 auto-iter 2026-05-12: keyframe_interval 6→1 (streaming, validé GX049839_v2 146M pts) 2026-05-12 16:37:06 +00:00
Poulpe
df45fd155d auto-iter 2026-05-12: bottom_visible_pct_min 30→25 (GX019817 29% récupérable) 2026-05-12 10:34:19 +00:00
Poulpe
f0154d7ea5 auto-iter 2026-05-12: log iter-2 + veille 2026-05-12 04:40:56 +00:00
Poulpe
8b826b0827 auto-iter 2026-05-12: fix duplicate frame_extract key in thresholds.yaml 2026-05-12 04:39:03 +00:00
Poulpe
4f54d58cd3 auto-iter 2026-05-11: iteration-log + veille iter-1 2026-05-11 22:34:42 +00:00
Poulpe
06d4aa5d4d auto-iter 2026-05-11: bottom_visible_pct seuil 50→30 (avg=37.5%) 2026-05-11 22:33:12 +00:00
Poulpe
e09ef7886b feat(pipeline): stage 04b port trim_above_water from dispatcher 2026-05-11 14:08:30 +00:00
Ubuntu
82f71fcc96 feat: frame QC scoring + viser per-AUV button 
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
 2026-05-11 11:05:37 +00:00
Ubuntu
e597407ee5 feat(pipeline): jalon 1-3 — ingest, USBL parse, filter 
Stages 01-03 opérationnels sur 20260505-Lepradet:
- 01_ingest: manifest auto, 3 AUVs vidéo, 3 AUVs bags, mapping AUV2xx↔AUV0xx
- 02_usbl_parse: MCAP (format incompatible firmware) → fallback serial CSV, 213 pts bruts
- 03_usbl_filter: MAD-3σ + moving-avg + Kalman optionnel, dégradé gracieux si null lat/lon
- orchestrator/db.py: SQLite schema missions/jobs/metrics idempotent
- config/: thresholds.yaml + default_params.yaml versionnés
- qa/checks.py: vérifications pass/fail/degraded par étape

Note: MCAP bags corrompus ou format non-standard firmware — lat/lon absent.
Statut degraded (pas crash). Nécessite investigation format MCAP spécifique.
 2026-05-11 10:25:27 +00:00