使用python订阅ROS传感器消息/图像

我正试图订阅一个由vrep视觉传感器发布的ROS节点。以下是我的代码，在使用内置网络摄像头时效果良好：

import rospy
from sensor_msgs.msg import Image
from std_msgs.msg import String
from cv_bridge import CvBridge, CvBridgeError
import cv2
import numpy as np
import tensorflow as tf
import classify_image


class RosTensorFlow():
def __init__(self):
    classify_image.maybe_download_and_extract()
    self._session = tf.Session()
    classify_image.create_graph()
    self._cv_bridge = CvBridge()

    self._sub = rospy.Subscriber('image', Image, self.callback, queue_size=1)
    self._pub = rospy.Publisher('result', String, queue_size=1)
    self.score_threshold = rospy.get_param('~score_threshold', 0.1)
    self.use_top_k = rospy.get_param('~use_top_k', 5)

def callback(self, image_msg):
try:
        cv_image = self._cv_bridge.imgmsg_to_cv2(image_msg, desired_encoding="passthrough")
except CvBridgeError as e:
    print(e)

    # copy from
    # classify_image.py
    image_data = cv2.imencode('.jpg', cv_image)[1].tostring()
    # Creates graph from saved GraphDef.
    softmax_tensor = self._session.graph.get_tensor_by_name('softmax:0')
    predictions = self._session.run(
        softmax_tensor, {'DecodeJpeg/contents:0': image_data})
    predictions = np.squeeze(predictions)
    # Creates node ID --> English string lookup.
    node_lookup = classify_image.NodeLookup()
    top_k = predictions.argsort()[-self.use_top_k:][::-1]
    for node_id in top_k:
        human_string = node_lookup.id_to_string(node_id)
        score = predictions[node_id]
        if score > self.score_threshold:
            rospy.loginfo('%s (score = %.5f)' % (human_string, score))
            self._pub.publish(human_string)

def main(self):
    rospy.spin()

if __name__ == '__main__':
  classify_image.setup_args()
  rospy.init_node('rostensorflow')
  tensor = RosTensorFlow()
  tensor.main()

以及我在vrep中的非线程子脚本，基本上是从RosInterfaceTopipPublisherandSubscriber.ttt教程中复制的：

function sysCall_init()

  activeVisionSensor=sim.getObjectHandle('Vision_sensor')

  pub=simROS.advertise('image', 'sensor_msgs/Image')
  simROS.publisherTreatUInt8ArrayAsString(pub) -- treat uint8 arrays as strings (much faster, tables/arrays are kind of slow in Lua)
end



function sysCall_sensing()
  -- Publish the image of the active vision sensor:
  local data,w,h=sim.getVisionSensorCharImage(activeVisionSensor)
  d={}
  d['header']={seq=0,stamp=simROS.getTime(), frame_id="a"}
  d['height']=h
  d['width']=w
  d['encoding']='rgb8'
  d['is_bigendian']=1
  d['step']=w*3
  d['data']=data
  simROS.publish(pub,d)
  print("published")
end

function sysCall_cleanup()
  simROS.shutdownPublisher(pub)
end

我正在使用以下命令运行脚本：

python image_recognition.py

我没有收到错误消息，但是没有输出。你能给我一个提示我需要改变什么吗？我做了很多研究，但到目前为止没有任何成功。

成功了。 对于感兴趣的人，我正在跑步：

罗斯托普列表-v

这告诉我节点实际上发布为：

/vrep_ros_界面/图像

我只是换了一个

罗西，订户

---

脚本成功了：）

您的问题是

vrep传感器

主题