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/docs/macros/sam-auto-annotate.md

@@ -0,0 +1,12 @@
+| Argument     | Type        | Default        | Description                                                                          |
+| ------------ | ----------- | -------------- | ------------------------------------------------------------------------------------ |
+| `data`       | `str`       | required       | Path to directory containing target images for annotation or segmentation.           |
+| `det_model`  | `str`       | `'yolo26x.pt'` | YOLO detection model path for initial object detection.                              |
+| `sam_model`  | `str`       | `'sam_b.pt'`   | SAM model path for segmentation (supports SAM, SAM2 variants, and MobileSAM models). |
+| `device`     | `str`       | `''`           | Computation device (e.g., 'cuda:0', 'cpu', or '' for automatic device detection).    |
+| `conf`       | `float`     | `0.25`         | YOLO detection confidence threshold for filtering weak detections.                   |
+| `iou`        | `float`     | `0.45`         | IoU threshold for Non-Maximum Suppression to filter overlapping boxes.               |
+| `imgsz`      | `int`       | `640`          | Input size for resizing images (must be multiple of 32).                             |
+| `max_det`    | `int`       | `300`          | Maximum number of detections per image for memory efficiency.                        |
+| `classes`    | `list[int]` | `None`         | List of class indices to detect (e.g., `[0, 1]` for person & bicycle).               |
+| `output_dir` | `str`       | `None`         | Save directory for annotations (defaults to './labels' relative to data path).       |