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/lane_ufld/code.embedded.bak/CLRNet-main/clrnet/utils/visualization.py

@@ -0,0 +1,64 @@
+import cv2
+import os
+import os.path as osp
+
+
+COLORS = [
+    (255, 0, 0),
+    (0, 255, 0),
+    (0, 0, 255),
+    (255, 255, 0),
+    (255, 0, 255),
+    (0, 255, 255),
+    (128, 255, 0),
+    (255, 128, 0),
+    (128, 0, 255),
+    (255, 0, 128),
+    (0, 128, 255),
+    (0, 255, 128),
+    (128, 255, 255),
+    (255, 128, 255),
+    (255, 255, 128),
+    (60, 180, 0),
+    (180, 60, 0),
+    (0, 60, 180),
+    (0, 180, 60),
+    (60, 0, 180),
+    (180, 0, 60),
+    (255, 0, 0),
+    (0, 255, 0),
+    (0, 0, 255),
+    (255, 255, 0),
+    (255, 0, 255),
+    (0, 255, 255),
+    (128, 255, 0),
+    (255, 128, 0),
+    (128, 0, 255),
+]
+
+
+def imshow_lanes(img, lanes, show=False, out_file=None, width=4):
+    lanes_xys = []
+    for _, lane in enumerate(lanes):
+        xys = []
+        for x, y in lane:
+            if x <= 0 or y <= 0:
+                continue
+            x, y = int(x), int(y)
+            xys.append((x, y))
+        lanes_xys.append(xys)
+    lanes_xys.sort(key=lambda xys : xys[0][0])
+
+    for idx, xys in enumerate(lanes_xys):
+        for i in range(1, len(xys)):
+            cv2.line(img, xys[i - 1], xys[i], COLORS[idx], thickness=width)
+
+
+    if show:
+        cv2.imshow('view', img)
+        cv2.waitKey(0)
+
+    if out_file:
+        if not osp.exists(osp.dirname(out_file)):
+            os.makedirs(osp.dirname(out_file))
+        cv2.imwrite(out_file, img)