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/UFLD/speed_simple.py

@@ -0,0 +1,32 @@
+import torch
+import time
+import numpy as np
+from model.model import parsingNet
+
+# torch.backends.cudnn.deterministic = False
+
+torch.backends.cudnn.benchmark = True
+net = parsingNet(pretrained = False, backbone='18',cls_dim = (100+1,56,4),use_aux=False).cuda()
+# net = parsingNet(pretrained = False, backbone='18',cls_dim = (200+1,18,4),use_aux=False).cuda()
+
+net.eval()
+
+x = torch.zeros((1,3,288,800)).cuda() + 1
+for i in range(10):
+    y = net(x)
+
+t_all = []
+for i in range(100):
+    t1 = time.time()
+    y = net(x)
+    t2 = time.time()
+    t_all.append(t2 - t1)
+
+print('average time:', np.mean(t_all) / 1)
+print('average fps:',1 / np.mean(t_all))
+
+print('fastest time:', min(t_all) / 1)
+print('fastest fps:',1 / min(t_all))
+
+print('slowest time:', max(t_all) / 1)
+print('slowest fps:',1 / max(t_all))