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/visualization-args.md

@@ -0,0 +1,28 @@
+{% macro param_table(params=None) -%}
+| Argument | Type | Default | Description |
+| -------- | ---- | ------- | ----------- |
+{%- set default_params = {
+    "show": ["bool", "False", "If `True`, displays the annotated images or videos in a window. Useful for immediate visual feedback during development or testing."],
+    "save": ["bool", "False or True", "Enables saving of the annotated images or videos to files. Useful for documentation, further analysis, or sharing results. Defaults to True when using CLI & False when used in Python."],
+    "save_frames": ["bool", "False", "When processing videos, saves individual frames as images. Useful for extracting specific frames or for detailed frame-by-frame analysis."],
+    "save_txt": ["bool", "False", "Saves detection results in a text file, following the format `[class] [x_center] [y_center] [width] [height] [confidence]`. Useful for integration with other analysis tools."],
+    "save_conf": ["bool", "False", "Includes confidence scores in the saved text files. Enhances the detail available for post-processing and analysis."],
+    "save_crop": ["bool", "False", "Saves cropped images of detections. Useful for dataset augmentation, analysis, or creating focused datasets for specific objects."],
+    "show_labels": ["bool", "True", "Displays labels for each detection in the visual output. Provides immediate understanding of detected objects."],
+    "show_conf": ["bool", "True", "Displays the confidence score for each detection alongside the label. Gives insight into the model's certainty for each detection."],
+    "show_boxes": ["bool", "True", "Draws bounding boxes around detected objects. Essential for visual identification and location of objects in images or video frames."],
+    "line_width": ["int or None", "None", "Specifies the line width of bounding boxes. If `None`, the line width is automatically adjusted based on the image size. Provides visual customization for clarity."],
+} %}
+
+{% if not params %}
+{% for param, details in default_params.items() %}
+| `{{ param }}` | `{{ details[0] }}` | `{{ details[1] }}` | {{ details[2] }} |
+{% endfor %}
+{% else %}
+{% for param in params %}
+{% if param in default_params %}
+| `{{ param }}` | `{{ default_params[param][0] }}` | `{{ default_params[param][1] }}` | {{ default_params[param][2] }} |
+{% endif %}
+{% endfor %}
+{% endif %}
+{%- endmacro -%}