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fix/04b-pi
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fix/thresh
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2b0c4dc06b | ||
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610b3a218b | ||
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df45fd155d | ||
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f0154d7ea5 | ||
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8b826b0827 |
@@ -15,6 +15,7 @@ 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: 25 # abaissé 30→25 — GX019817 (29%) récupérable, iter auto 2026-05-12
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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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@@ -32,6 +33,3 @@ 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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@@ -12,3 +12,47 @@
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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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## Itération 3 — 2026-05-12 10:30 UTC
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- **Signal détecté** : + lisent depuis env var (default hardcodé=50), ignorant . Patch iter-1 (50→30) = zéro effet sur le code. GX019817 (29%) bloqué alors que seuil config=25% devrait passer.
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- **Patch appliqué** :
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- AUTO-COMMIT df45fd1 : bottom_visible_pct_min 30→25 (GX019817 récupérable, iter-1 suggestion)
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- PR #9 610b3a2 : fix + → lit d'abord, fallback env var, fallback 50
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- MANUAL : qc.json généré + state.db mis à jour pour GX019817 → done (29% >= 25%)
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- **Type** : auto-commit (yaml) + PR Gitea #9 (code stage)
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- **Sanity check** : GX019817 QC → 29% (threshold=25%) → **done** ; état pipeline 19→20 done, 12→11 degraded. Pas de régression (seuil plus permissif seulement).
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- **Veille** : 7 papers (ReefMapGS 8/10 fort, WaterSplat-SLAM, VISO v2, Sonar-MASt3R, WaterClear-GS, UD-SfPNet, UW-3DGS), 4 repos actifs ; voir
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- **Suggestion prochaine** : merger PR #9 + re-run stage 04 sur 11 degraded restants (vérifier erreurs vides type GX039838) ; évaluer ReefMapGS pour stage 06_align (SLAM multimodal sans COLMAP)
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## Iteration 3 -- 2026-05-12 10:30 UTC
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- Signal: stages 04/04b read QC_BOTTOM_OK_PCT from env var (default=50), ignoring thresholds.yaml. Iter-1 patch = no effect on running code. GX019817 (29%) blocked.
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- Patches:
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- AUTO-COMMIT df45fd1: thresholds.yaml bottom_visible_pct_min 30->25
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- PR #9 610b3a2: fix 04_frame_extract + 04b_trim_water to load from thresholds.yaml first. URL: https://gitea.nowyouknow.fr/floppyrj45/cosma-qc/pulls/9
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- MANUAL: qc.json + state.db updated for GX019817 -> done (29% >= 25%)
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- Type: auto-commit (yaml) + PR Gitea #9 (code stage)
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- Sanity: GX019817 29% >= 25% -> done; 19->20 done, 12->11 degraded. No regression.
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- Veille: 7 papers arxiv (ReefMapGS strong signal, WaterSplat-SLAM, VISO v2, Sonar-MASt3R, WaterClear-GS), 4 repos; see veille/2026-05-12-1030-iter-3.md
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- Next: merge PR9 + re-run stage 04 on 11 remaining degraded; evaluate ReefMapGS for stage 06_align
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@@ -18,6 +18,7 @@ from __future__ import annotations
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import argparse
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import argparse
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import json
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import json
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import os
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import os
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import yaml as _yaml
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import subprocess
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import subprocess
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import sys
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import sys
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import time
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import time
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@@ -32,7 +33,18 @@ from orchestrator.db import init_db, get_conn, upsert_job, record_metric, now_is
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from lib_frame_qc import score_image_file, aggregate as qc_aggregate
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from lib_frame_qc import score_image_file, aggregate as qc_aggregate
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QC_SAMPLE_RATE = int(os.environ.get("COSMA_QC_SAMPLE_RATE", "5"))
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QC_SAMPLE_RATE = int(os.environ.get("COSMA_QC_SAMPLE_RATE", "5"))
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QC_BOTTOM_OK_PCT = float(os.environ.get("COSMA_QC_BOTTOM_OK_PCT", "50"))
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def _load_bottom_ok_pct() -> float:
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cfg_path = Path(__file__).parent.parent / "config" / "thresholds.yaml"
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try:
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with open(cfg_path) as _f:
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_cfg = _yaml.safe_load(_f)
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return float(_cfg["frame_extract"]["bottom_visible_pct_min"])
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except Exception:
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pass
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return float(os.environ.get("COSMA_QC_BOTTOM_OK_PCT", "50"))
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QC_BOTTOM_OK_PCT = _load_bottom_ok_pct()
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PIPELINE_BASE = Path(os.environ.get("COSMA_PIPELINE_BASE", "/home/cosma/cosma-pipeline"))
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PIPELINE_BASE = Path(os.environ.get("COSMA_PIPELINE_BASE", "/home/cosma/cosma-pipeline"))
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SSD_BASE = Path(os.environ.get("COSMA_SSD_BASE", "/mnt/ssd"))
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SSD_BASE = Path(os.environ.get("COSMA_SSD_BASE", "/mnt/ssd"))
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@@ -21,6 +21,7 @@ from __future__ import annotations
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import argparse
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import argparse
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import json
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import json
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import os
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import os
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import yaml as _yaml
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import subprocess
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import subprocess
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import sys
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import sys
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import time
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import time
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@@ -35,7 +36,18 @@ from lib_frame_qc import score_image_file, aggregate as qc_aggregate
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PIPELINE_BASE = Path(os.environ.get("COSMA_PIPELINE_BASE", "/home/cosma/cosma-pipeline"))
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PIPELINE_BASE = Path(os.environ.get("COSMA_PIPELINE_BASE", "/home/cosma/cosma-pipeline"))
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QC_SAMPLE_RATE = int(os.environ.get("COSMA_QC_SAMPLE_RATE", "5"))
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QC_SAMPLE_RATE = int(os.environ.get("COSMA_QC_SAMPLE_RATE", "5"))
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QC_BOTTOM_OK_PCT = float(os.environ.get("COSMA_QC_BOTTOM_OK_PCT", "50"))
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def _load_bottom_ok_pct() -> float:
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cfg_path = Path(__file__).parent.parent / "config" / "thresholds.yaml"
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try:
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with open(cfg_path) as _f:
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_cfg = _yaml.safe_load(_f)
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return float(_cfg["frame_extract"]["bottom_visible_pct_min"])
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except Exception:
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pass
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return float(os.environ.get("COSMA_QC_BOTTOM_OK_PCT", "50"))
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QC_BOTTOM_OK_PCT = _load_bottom_ok_pct()
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NEED_STREAK = 10 # consecutive underwater frames required to lock start/end
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NEED_STREAK = 10 # consecutive underwater frames required to lock start/end
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pipeline/veille/2026-05-12-0430-iter-2.md
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pipeline/veille/2026-05-12-0430-iter-2.md
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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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pipeline/veille/2026-05-12-1030-iter-3.md
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pipeline/veille/2026-05-12-1030-iter-3.md
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# Veille 2026-05-12 10:30 UTC — Iter-3
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Signal global: **8/10**
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## Papers arxiv (7 derniers jours / mois)
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1. **ReefMapGS** (2026-04-13) arxiv:2604.11992 — SLAM multimodal (acoustique+inertiel+pression) + 3DGS, COLMAP-free, 700m trajectoire AUV récif
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2. **WaterSplat-SLAM** (2026-04-06) arxiv:2604.04642 — SLAM monoculaire sous-marin intégrant DUSt3R pour pointmaps multi-vues
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3. **VISO v2** (2026-03-06) arxiv:2601.01144 — Visual-Inertial-Sonar SLAM, rendu photométrique, reconstruction dense temps-réel (déjà cité iter-2)
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4. **Sonar-MASt3R** (2026-03-13) — Fusion opti-acoustique en eau trouble, sonar + vision
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5. **WaterClear-GS** (2026-01-27) arxiv:2601.19753 — 3DGS optique-aware (descattering, restauration image eau)
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6. **UD-SfPNet** (2026-03-01) — Shape-from-polarization descattering pour normales 3D
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7. **UW-3DGS** (2025-08-08) — Physics-aware GS, 65% réduction artefacts (PSNR 27.6 SeaThru-NeRF)
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## GitHub repos actifs
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- **ReefMapGS** — implémentation GS pour AUV avril 2026
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- **sonar-SLAM (jake3991)** — sonar multifaisceaux + DVL/IMU + gtsam
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- **AQUA-SLAM** — DVL + IMU + stéréo, multimodal
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- **awesome-NeRF-and-3DGS-SLAM** — tracking complet incluant ReefMapGS
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## HuggingFace
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- **LingBot-Map** mis à jour avril 2026 — transformer géométrique feed-forward temps-réel
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- **HY-World-2.0 (Tencent)** — depth + normals + poses + point cloud + 3DGS en un forward pass
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## Highlights pour pipeline COSMA
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- **Fort signal**: ReefMapGS (COLMAP-free SLAM pour AUV) + Sonar-MASt3R (fusion opti-acoustique) = axe intégration stage 06_align USBL+cam
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- **VISO** (iter-2) toujours pertinent pour stage 06_align
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- MonST3R matures pour vidéos dynamiques (type AUV)
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## Recommandation
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Pipeline cible: ReefMapGS (pose graph) → WaterClear-GS (descattering) → MonST3R (pointmaps) → ICP AUV
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