Files
cosma-qc/docker-compose.yml
Flag 2bc24b2cc4 dispatcher — keep demo.py alive apres PLY + auto-clear error
1. Ne plus kill demo.py apres PLY saved: son viser/PointCloudViewer natif
   (camera frustums, per-frame confidence filtering, animation) donne une
   visu bcp plus propre que viser_ply.py standalone (XYZ+RGB seul).
   Cout: ~6GB VRAM par job done garde alive jusquau prochain pick_worker
   qui peut kill si besoin.

2. set_status clear auto le champ error quand status transitionne vers
   extracting/running/done/queued: sinon les dashboards montrent les
   erreurs historiques sur les jobs en cours de retry.
2026-04-22 19:41:00 +00:00

17 lines
715 B
YAML

services:
cosma-qc:
build: .
container_name: cosma-qc
restart: unless-stopped
ports:
- "3849:8000"
volumes:
- /home/floppyrj45/cosma-qc-data:/var/lib/cosma-qc
- /home/floppyrj45/.ssh:/ssh-in:ro
environment:
COSMA_QC_WORKERS: |
[
{"host":"192.168.0.87","ssh_alias":"gpu","gpu":"RTX 3060 12GB","vram_mib":11913,"frames_dir":"/home/floppyrj45/cosma-qc-frames","lingbot_path":"/home/floppyrj45/ai-video/lingbot-map","viser_port_base":8100},
{"host":"192.168.0.84","ssh_alias":"ml-stack","gpu":"RTX 3090 24GB","vram_mib":24576,"frames_dir":"/root/cosma-qc-frames","lingbot_path":"/root/ai-video/lingbot-map","viser_port_base":8100}
]