Chengfang Lu
e72bc061c5
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)
25 lines
833 B
Python
Executable File
25 lines
833 B
Python
Executable File
import os
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import re
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import cv2
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rootdir = 'C:\\data\\Tusimple\\test_set\\51'
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pattern_number_oeder = '(\d*?).jpg'
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f1 = open('C:\\data\\Tusimple\\test_set\\51.txt', 'w')
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for root, dirs, files in os.walk(rootdir):
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for dir in dirs:
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print(os.path.join(root, dir))
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files.sort(key=lambda x:int(re.findall(pattern_number_oeder, x)[0]))
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for file in files:
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img_path = os.path.join(root, file)
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# img = cv2.imread(img_path)
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# dim = (1280, 720)
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# resized_img = cv2.resize(img, dim, interpolation=cv2.INTER_AREA)
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# cv2.imwrite(img_path, img)
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# save_path = os.path.join(root.split('\\')[-1], file)
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save_path = img_path
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print(save_path)
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# print(os.path.join(root, file))
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f1.write(save_path)
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f1.write('\n')
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f1.close() |