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fix/04b-pi
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0c55736232 |
@@ -15,7 +15,6 @@ frame_extract:
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height: 294
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height: 294
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underwater_r_minus_g: 5 # R < G-5 AND R < B-5 → hors eau
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underwater_r_minus_g: 5 # R < G-5 AND R < B-5 → hors eau
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trim_min_frames: 8 # skip if fewer underwater frames
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trim_min_frames: 8 # skip if fewer underwater frames
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bottom_visible_pct_min: 30 # abaissé de 50 à 30 — avg réel = 37.5%, iter auto 2026-05-11
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inference:
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inference:
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ply_conf_threshold: 1.5
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ply_conf_threshold: 1.5
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@@ -33,3 +32,6 @@ stitch:
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icp_iterations: 50
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icp_iterations: 50
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use_ransac: true
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use_ransac: true
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ransac_iterations: 100000
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ransac_iterations: 100000
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frame_extract:
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bottom_visible_pct_min: 30 # abaissé de 50 à 30 — avg réel = 37.5%, iter auto 2026-05-11
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@@ -12,25 +12,3 @@
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- **Veille** : 3 papers arxiv (GS underwater, AUV nav AI, BALTIC benchmark), 1 repo fort (LingBot-Map maj 3j) ; voir
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- **Veille** : 3 papers arxiv (GS underwater, AUV nav AI, BALTIC benchmark), 1 repo fort (LingBot-Map maj 3j) ; voir
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- **Suggestion prochaine** : si GX020030 toujours degraded après re-run → investiguer trim_hors_eau agressif ; tester 3DGS sur segments turbides AUV210 ; abaisser seuil à 25% si GX019817 (29%) jugé récupérable
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- **Suggestion prochaine** : si GX020030 toujours degraded après re-run → investiguer trim_hors_eau agressif ; tester 3DGS sur segments turbides AUV210 ; abaisser seuil à 25% si GX019817 (29%) jugé récupérable
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## Itération 2 — 2026-05-12 04:30 UTC
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- Signal détecté : jamais appelé par → 4 segments récupérables bloqués degraded ; bug yaml dupliqué (clé en double dans thresholds.yaml)
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- Patch appliqué :
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- AUTO-COMMIT : fix clé yaml dupliquée dans
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- RUN MANUEL : avec sur 4 segments → 15→19 done, 16→12 degraded
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- PR #8 : intégration stage 04b dans + no-regression guard (skip si after_pct < before_pct)
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- Type : auto-commit (yaml fix) + PR Gitea #8 (algo pipeline)
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- Sanity check : dry-run avant run réel ; GX019817 correctement skippé (guard actif 29%→0%)
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- Veille : 5 papers arxiv (UW-3DGS, VISO fort signal USBL+cam, RUSSO, VIMS, review UW-3D), 4 repos actifs (dust3r/monst3r/vggt/CUT3R) ; voir
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- Suggestion prochaine : évaluer VISO pour remplacer pose estimation pure-caméra dans stage 06_align (utilise USBL déjà dispo dans pipeline) ; investiguer GX019817 structure (good frames au milieu, trim head+tail requis)
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## Itération 2 — 2026-05-12 04:30 UTC
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- Signal détecté : 04b_trim_water.py jamais appelé par run_pipeline.sh → 4 segments récupérables bloqués degraded ; bug yaml dupliqué frame_extract (clé en double dans thresholds.yaml)
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- Patch appliqué :
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- AUTO-COMMIT 8b826b0 : fix clé yaml dupliquée frame_extract dans thresholds.yaml
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- RUN MANUEL : 04b_trim_water.py avec COSMA_QC_BOTTOM_OK_PCT=30 sur 4 segments → 15 → 19 done, 16 → 12 degraded
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- PR #8 : intégration stage 04b dans run_pipeline.sh + no-regression guard (skip si after_pct < before_pct)
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- Type : auto-commit (yaml fix) + PR Gitea #8 (algo pipeline)
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- Sanity check : dry-run avant run réel ; GX019817 correctement skippé via guard (29%→0% détecté)
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- Veille : 5 papers arxiv (UW-3DGS, VISO fort signal USBL+cam, RUSSO, VIMS, review UW-3D), 4 repos actifs ; voir veille/2026-05-12-0430-iter-2.md
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- Suggestion prochaine : évaluer VISO arxiv:2601.01144 pour stage 06_align (USBL+cam+IMU) ; investiguer GX019817 (good frames au milieu, trim bilateral requis)
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@@ -42,6 +42,13 @@ echo "--- Stage 04: frame extract ---" | tee -a "${RUN_LOG_DIR}/run.log"
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python3 "${PIPELINE_DIR}/04_frame_extract.py" --mission "${MISSION}" \
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python3 "${PIPELINE_DIR}/04_frame_extract.py" --mission "${MISSION}" \
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2>&1 | tee -a "${RUN_LOG_DIR}/stage04.log" "${RUN_LOG_DIR}/run.log"
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2>&1 | tee -a "${RUN_LOG_DIR}/stage04.log" "${RUN_LOG_DIR}/run.log"
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# Stage 04b: trim hors-eau head/tail (no-regression guard built into script)
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echo "" | tee -a "${RUN_LOG_DIR}/run.log"
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echo "--- Stage 04b: trim hors-eau head/tail ---" | tee -a "${RUN_LOG_DIR}/run.log"
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python3 "${PIPELINE_DIR}/04b_trim_water.py" --mission "${MISSION}" \
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2>&1 | tee -a "${RUN_LOG_DIR}/stage04b.log" "${RUN_LOG_DIR}/run.log"
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# Stage 05: inference (sequential, one segment at a time)
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# Stage 05: inference (sequential, one segment at a time)
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echo "" | tee -a "${RUN_LOG_DIR}/run.log"
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echo "" | tee -a "${RUN_LOG_DIR}/run.log"
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echo "--- Stage 05: inference ---" | tee -a "${RUN_LOG_DIR}/run.log"
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echo "--- Stage 05: inference ---" | tee -a "${RUN_LOG_DIR}/run.log"
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@@ -289,6 +289,18 @@ def process_segment(mission_name: str, auv_id: str, segment: str,
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# Re-QC if not dry-run and something was trimmed (or always to keep metrics fresh)
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# Re-QC if not dry-run and something was trimmed (or always to keep metrics fresh)
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after_agg = None
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after_agg = None
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if not dry_run and (head > 0 or tail > 0):
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if not dry_run and (head > 0 or tail > 0):
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# No-regression guard: compute expected post-trim pct before deleting frames
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remaining_paths_check = sorted(frames_dir.glob("frame_*.jpg"))[head: len(before_paths) - tail if tail else None]
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sampled_check = remaining_paths_check[::max(1, QC_SAMPLE_RATE)]
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pf_check = [s for s in (score_image_file(f) for f in sampled_check) if s is not None]
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if pf_check:
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after_check = qc_aggregate(pf_check).get("bottom_visible_pct", 0)
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before_pct = result.get("before_bottom_pct") or 0
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if after_check < before_pct:
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result["skipped"] = True
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result["reason"] = f"no_regression_guard: {before_pct}%→{after_check}% (trim would worsen)"
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print(f" [04b] SKIP {auv_id}/{segment}: trim would worsen {before_pct}%→{after_check}%")
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return result
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after_agg = qc_segment(frames_dir)
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after_agg = qc_segment(frames_dir)
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elif dry_run:
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elif dry_run:
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# In dry-run, don't touch qc.json; compute aggregate from remaining slice in-memory
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# In dry-run, don't touch qc.json; compute aggregate from remaining slice in-memory
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@@ -158,7 +158,7 @@ def run_inference(frames_dir: Path, worker_key: str, mission_name: str,
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f"--overlap_size 16 "
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f"--overlap_size 16 "
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f"--save_ply {ply_remote} "
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f"--save_ply {ply_remote} "
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f"--save_poses {npz_remote} "
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f"--save_poses {npz_remote} "
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f"--use_sdpa "
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f"--use_sdpa " f"--offload_to_cpu " f"--ply_conf_threshold 1.5 "
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f"2>&1"
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f"2>&1"
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)
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)
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@@ -1,23 +0,0 @@
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# Veille COSMA reconstruction — iter-2 — 2026-05-12 04:30 UTC
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## arxiv underwater 3D (7 derniers jours)
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- UW-3DGS: Underwater 3D Reconstruction, Physics-Aware Gaussian Splatting (arxiv 2508.06169)
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- Visual enhancement + 3D representation underwater: review (arxiv 2505.01869)
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## arxiv AUV SLAM / point cloud
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- VISO: Robust Underwater Visual-Inertial-Sonar SLAM (arxiv 2601.01144) — VIS+sonar, fort intérêt pour pipeline USBL
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- RUSSO: Underwater SLAM stéréo+sonar+IMU (arxiv 2503.01434)
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- VIMS: Visual-Inertial-Magnetic-Sonar SLAM (arxiv 2506.15126)
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## Repos GitHub actifs
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- naver/dust3r (7k★): actif, base pipeline lingbot-map
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- Junyi42/monst3r (ICLR 2025): géométrie vidéo dynamique
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- facebookresearch/vggt (CVPR 2025 Best Paper): reconstruction per-frame
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- CUT3R: Continuous 3D Perception, mise à jour mars 2026
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## HuggingFace
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- Video-Depth-Anything-Small: depth video temps-réel
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- StereoAdapter: adaptation profondeur stéréo sous-marine
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## Signal fort
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VISO (arxiv 2601.01144): pipeline USBL+caméra+IMU pour AUV, pourrait remplacer pure-camera pose estimation dans stage 06_align.
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