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HSAP/algorithms/lane_ufld/code.embedded.bak/UFLD/ros_cap_node.py

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