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fix: 05_inference lit thresholds.yaml — streaming+conf_threshold #10

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poulpe wants to merge 0 commits from fix/05-inference-yaml-params into feature/auto-pipeline
pull from: fix/05-inference-yaml-params
merge into: floppyrj45:feature/auto-pipeline
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poulpe commented 2026-05-12 16:39:09 +00:00
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Signal

05_inference.py ignorait thresholds.yaml[inference] — mode windowed hardcode, sans --ply_conf_threshold.

Validation

GX049839_v2: streaming+conf=1.5+kf=1 -> 146M pts vs 0 pts (streaming+conf=2.5 defaut)

Patch

  • Ajoute _load_inference_cfg() qui lit config/thresholds.yaml
  • Mode/conf/kf/max_frames depuis config (streaming par defaut)
  • Ajoute --offload_to_cpu (stable RTX 3090 .84)

Auto-commit associe: keyframe_interval 6->1 sur feature/auto-pipeline (tag auto-iter-20260512-1637)

## Signal 05_inference.py ignorait thresholds.yaml[inference] — mode windowed hardcode, sans --ply_conf_threshold. ## Validation GX049839_v2: streaming+conf=1.5+kf=1 -> 146M pts vs 0 pts (streaming+conf=2.5 defaut) ## Patch - Ajoute _load_inference_cfg() qui lit config/thresholds.yaml - Mode/conf/kf/max_frames depuis config (streaming par defaut) - Ajoute --offload_to_cpu (stable RTX 3090 .84) Auto-commit associe: keyframe_interval 6->1 sur feature/auto-pipeline (tag auto-iter-20260512-1637)
poulpe added 1 commit 2026-05-12 16:39:09 +00:00
fix: 05_inference.py lit thresholds.yaml[inference] au lieu de windowed hardcodé 3a6b058f0d 
- 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)
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Reference: floppyrj45/cosma-qc#10
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