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
#!/usr/bin/env python
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# coding:utf-8
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import cv2
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import numpy as np
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import rospy
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from std_msgs.msg import Header
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from sensor_msgs.msg import Image
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from cv_bridge import CvBridge, CvBridgeError
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import time
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if __name__ == "__main__":
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capture = cv2.VideoCapture(0) # 定义摄像头
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rospy.init_node('camera_node', anonymous=True) # 定义节点
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image_pub = rospy.Publisher('/image_view/image_raw', Image, queue_size=1) # 定义话题
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while not rospy.is_shutdown(): # Ctrl C正常退出，如果异常退出会报错device busy！
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start = time.time()
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ret, frame = capture.read()
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if ret: # 如果有画面再执行
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# frame = cv2.flip(frame,0) #垂直镜像操作
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frame = cv2.flip(frame, 1) # 水平镜像操作
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ros_frame = Image()
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header = Header(stamp=rospy.Time.now())
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header.frame_id = "Camera"
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ros_frame.header = header
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ros_frame.width = 640
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ros_frame.height = 480
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ros_frame.encoding = "bgr8"
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ros_frame.step = 1920
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ros_frame.data = np.array(frame).tostring() # 图片格式转换
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image_pub.publish(ros_frame) # 发布消息
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end = time.time()
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print("cost time:", end - start) # 看一下每一帧的执行时间，从而确定合适的rate
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rate = rospy.Rate(25) # 10hz
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capture.release()
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cv2.destroyAllWindows()
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print("quit successfully!") |