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)
40 lines
1.5 KiB
Python
Executable File
40 lines
1.5 KiB
Python
Executable File
import cv2
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import os
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from copy import deepcopy
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video_full_path = r"C:\data\lane_videos\2022-08-08-14-33-37 Usb Cam Image Raw.mp4"
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cap = cv2.VideoCapture(video_full_path)
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print(cap.isOpened())
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video_name = video_full_path.split('\\')[-1][0:-4]
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print(video_name)
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frame_count = 1
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success = True
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while(success):
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success, frame = cap.read()
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print('Read a new frame: ', success)
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if success == False:
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break
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# params.append(cv.CV_IMWRITE_PXM_BINARY)
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# params.append(1)#
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# height, weight, banch = frame.shape
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# print(weight, height, banch)
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print(frame_count)
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if frame_count % 10 == 0:
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dim = (1280, 720)
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resized_img = cv2.resize(frame, dim, interpolation=cv2.INTER_AREA)
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save_path = os.path.join("C:\\data\\lane_videos\\frame\\", video_name)
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if not os.path.exists(save_path):
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os.makedirs(save_path)
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cv2.imwrite(save_path + "\\" + video_name + "_%d.png" % frame_count, resized_img)
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frame_line = deepcopy(resized_img)
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# for i in range(16, 72):
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# cv2.line(frame_line, (0, i * 10), (1279, i * 10), (255, 0, 0), 1)
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# save_path_l = os.path.join("C:\\Users\\linf1\\Documents\\ZED\\img\\", video_name + '_l')
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# if not os.path.exists(save_path_l):
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# os.makedirs(save_path_l)
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# cv2.imwrite(save_path_l + "\\" + video_name + "_%d.jpg" % frame_count, frame_line)
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print('save the %d frame' % frame_count)
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frame_count = frame_count + 1
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cap.release()
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