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Extracting raw data from Kinect

asked 2011-04-22 08:47:25 -0500

seanmason337 gravatar image

Hello all,

I am new to ROS and I would like to know how to subscribe to a topic and save the data in python. I understand how to log data using rosbag or to echo the data on the topic, but I do not know how to save the data to a variable. I am trying to modify the tutorial code to simply display the raw data.

#!/usr/bin/env python
import roslib; roslib.load_manifest('beginner_tutorials')
import rospy
from std_msgs.msg import String
def callback(data):
    rospy.loginfo(rospy.get_name()+" %s ",

def listener():
    rospy.init_node('listener', anonymous=True)
    rospy.Subscriber("camera/rgb/image_color", String, callback)
    #declares that your node subscribes to the chatter topic which is of type   s   std_msgs.msgs.String
    #keeps your node from exiting until the node has been shutdown

if __name__ == '__main__':

Any help would be greatly appreciated.


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1 Answer

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answered 2011-04-22 09:00:00 -0500

fergs gravatar image

updated 2011-04-22 09:06:42 -0500

You might want to convert the sensor_msgs/Image datatype to an OpenCV image. The cv_bridge tutorial for Python shows how to do so:

The below code is an example from our SVN ( ) that captures an image, blurs it, and displays it:

#!/usr/bin/env python
  Example code of how to convert ROS images to OpenCV's cv::Mat
  This is the solution to HW2, using Python.

  See also cv_bridge tutorials:

import roslib; roslib.load_manifest('ex_vision')
import rospy

import cv
from cv_bridge import CvBridge, CvBridgeError

from std_msgs.msg import String
from sensor_msgs.msg import Image

class image_blur:

  def __init__(self):
    # initialize a node called hw2

    # create a window to display results in
    cv.NamedWindow("image_view", 1)

    # part 2.1 of hw2 -- subscribe to a topic called image
    self.image_sub = rospy.Subscriber("image", Image, self.callback)

  def callback(self,data):
    """ This is a callback which recieves images and processes them. """
    # convert image into openCV format
    bridge = CvBridge()
      # bgr8 is the pixel encoding -- 8 bits per color, organized as blue/green/red
      cv_image = bridge.imgmsg_to_cv(data, "bgr8")
    except CvBridgeError, e:
      # all print statements should use a rospy.log_ form, don't print!
      rospy.loginfo("Conversion failed")

    # we could do anything we want with the image here
    # for now, we'll blur using a median blur
    cv.Smooth(cv_image, cv_image, smoothtype=cv.CV_MEDIAN, param1=31, param2=0, param3=0, param4=0)

    # show the image
    cv.ShowImage("image_view", cv_image)

if __name__ == '__main__':
    except KeyboardInterrupt:
        print "Shutting down"
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Asked: 2011-04-22 08:47:25 -0500

Seen: 3,208 times

Last updated: Apr 22 '11