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docker-compose brings up PostgreSQL 16 with pgvector and Redis 7 on non-standard host ports so it never collides with an existing local database. scripts/smoke.sh is the proof: compose, migrate, boot the API, issue a token, call the real DeepSeek API and print the resulting ob_ai_call and bl_ledger rows. services/vision and services/matting are placeholders noting that the local RTX 5090 makes BiRefNet and RTMPose developable without cloud GPU.
18 lines
643 B
Markdown
18 lines
643 B
Markdown
# `services/matting/` — 抠图批处理（占位）
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架构 §4.3。离线批处理，GPU 按需。
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- **BiRefNet**（TD-07 / ADR-08）。**禁用 RMBG-2.0**（许可证原因）。
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- 输出白底标准化图 + 规格校验，写 `kb_asset.tryon_ready`
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## 本地有 RTX 5090（32GB VRAM）
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**BiRefNet 抠图可以完全在本地开发、调参和跑批，不需要租云 GPU。**
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素材生产期（TD-26：300 件 `tryon_ready` 是关键路径）先在本地测出每周产能，
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再决定要不要上云扩产能。
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## 验收
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FR-KB-08：10 件样本走通全流程；`tryon_ready` 标志准确；
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抠图人工质检通过率 ≥ 90%。
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