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)

algorithms/dms_yolo/code.embedded.bak/ultralytics/cfg/datasets/HomeObjects-3K.yaml

@@ -0,0 +1,32 @@
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# HomeObjects-3K dataset by Ultralytics
+# Documentation: https://docs.ultralytics.com/datasets/detect/homeobjects-3k/
+# Example usage: yolo train data=HomeObjects-3K.yaml
+# parent
+# ├── ultralytics
+# └── datasets
+#     └── homeobjects-3K ← downloads here (390 MB)
+
+# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
+path: homeobjects-3K # dataset root dir
+train: images/train # train images (relative to 'path') 2285 images
+val: images/val # val images (relative to 'path') 404 images
+
+# Classes
+names:
+  0: bed
+  1: sofa
+  2: chair
+  3: table
+  4: lamp
+  5: tv
+  6: laptop
+  7: wardrobe
+  8: window
+  9: door
+  10: potted plant
+  11: photo frame
+
+# Download script/URL (optional)
+download: https://github.com/ultralytics/assets/releases/download/v0.0.0/homeobjects-3K.zip