feat: HSAP platform v2 — modular navigation, quality review, audit log, world model simulation
Major changes: - New frontend (platform/web/): Vite + React 18 + TypeScript + Tailwind - 4-module navigation: 数据送标 / 模型管理 / 车队管理 / 系统管理 - Data catalog with charts (DMS/ADAS/Lane 3-tab view) - Quality review workflow (标注质检): Good/Fine/Bad scoring with auto-advance - Audit enhancements: batch operations, rejection categories, Feishu notifications - Operation audit log (操作日志) - World model simulation studio (仿真工坊) - Dataset version management with snapshots and diff - ADAS 7-class dataset integration (138K images organized + compressed) - User management with Feishu integration and pagination - CRUD/search/filter on all pages, card layout redesign - PIL-optimized image overlay rendering - Auto-snapshot on build, in_review workflow stage - Removed embedded algorithm code (now in workspace)
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docs/PHASE_ROLLOUT_DMS.md
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docs/PHASE_ROLLOUT_DMS.md
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# DMS 标注分期验收(addw pilot)
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## P0:dam / ddaw(检测)
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- [ ] 批次台账入湖 → inbox 有 `images/train`
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- [ ] 送标工作台「待送标」可见批次
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- [ ] 进入标注:左侧工具箱(face 等)+ 保存
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- [ ] 提交后 `batch.meta` stage = `labeling_submitted`,「待入库」Tab 可见
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- [ ] 导出 Job 成功后 stage = `returned`
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- [ ] 提交入库审核 → build 通过
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## P1:addw / addw_face(当前 pilot)
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Pilot:`inbox/addw/20260525_pilot`(12 张)
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- [x] `dms_detect.xml` 四类标签
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- [x] `dms_pose.xml`:face 框 + 37 关键点(`kp_00`–`kp_36`)
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- [x] `export_ls_to_yolo.py`:LS JSON → YOLO detect / YOLO pose
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- [ ] 标注保存至 `labels/ls_annotations/*.json`
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- [ ] 提交 / 导出 / 待入库全链路(见 P0 检查项)
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- [ ] addw_face 导出 txt 每行 116 字段,通过 `validate_pose_label`
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```bash
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python3 datasets/dms/scripts/test_export_ls_to_yolo.py
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```
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## P2:forward / lane
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- [ ] `forward__detect` / `forward__classify` registry 模板
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- [ ] lane `lane_culane.xml` 画布 smoke
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## 自动化
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```bash
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bash scripts/smoke_labeling_api.sh
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bash scripts/smoke_pending_gate.sh
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python3 scripts/lake_checklist_audit.py
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```
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