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)
This commit is contained in:
2026-06-03 11:40:21 +08:00
parent 7c43b44c57
commit e72bc061c5
5487 changed files with 979207 additions and 6197 deletions

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import os
import re
import cv2
rootdir = 'C:\\data\\Tusimple\\test_set\\51'
pattern_number_oeder = '(\d*?).jpg'
f1 = open('C:\\data\\Tusimple\\test_set\\51.txt', 'w')
for root, dirs, files in os.walk(rootdir):
for dir in dirs:
print(os.path.join(root, dir))
files.sort(key=lambda x:int(re.findall(pattern_number_oeder, x)[0]))
for file in files:
img_path = os.path.join(root, file)
# img = cv2.imread(img_path)
# dim = (1280, 720)
# resized_img = cv2.resize(img, dim, interpolation=cv2.INTER_AREA)
# cv2.imwrite(img_path, img)
# save_path = os.path.join(root.split('\\')[-1], file)
save_path = img_path
print(save_path)
# print(os.path.join(root, file))
f1.write(save_path)
f1.write('\n')
f1.close()