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multicam_capture_exec.py

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#!/usr/bin/env python
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import roslib; roslib.load_manifest('camera_pose_calibration')
import rospy
import yaml
import sys
import actionlib
import time
import threading
import message_filters

from camera_pose_calibration.robot_measurement_cache import RobotMeasurementCache

from calibration_msgs.msg import Interval, CalibrationPattern
from camera_pose_calibration.msg import RobotMeasurement, CameraMeasurement
from sensor_msgs.msg import CameraInfo, Image


class CameraCaptureExecutive:
    def __init__(self, cam_ids):
        self.cam_ids = cam_ids
        self.cache = RobotMeasurementCache()
        self.lock = threading.Lock()


        # Specifies if we're currently waiting for a sample
        self.active = False

        # Construct a manager for each sensor stream (Don't enable any of them)
        cam_info_topic = rospy.get_param('~cam_info_topic', 'camera_info')
        #print "cam_ids"
        self.cam_managers   = [ (cam_id,   CamManager(  cam_id,  cam_info_topic, 
                                                        self.add_cam_measurement) )   for cam_id   in cam_ids ]

        # Turn on all of the camera modes into verbose model, since we want the CalibrationPattern data
        for cam_manager in zip(*self.cam_managers)[1]:
            cam_manager.enable(verbose=True)

        # Subscribe to topic containing stable intervals
        self.measurement_pub = rospy.Publisher("robot_measurement", RobotMeasurement)
        self.request_interval_sub = rospy.Subscriber("request_interval", Interval, self.request_callback)

        # Set up the cache with only the sensors we care about
        chain_ids = []
        laser_ids = []
        self.cache.reconfigure(cam_ids, chain_ids, laser_ids)

    def request_callback(self, msg):

        print "\n\n\n\n\033[34;1m------\n\033[0mGot a request callback"

        # See if the interval is big enough to care
        #if (msg.end - msg.start) < rospy.Duration(1,0):
        #    return

        with self.lock:
            # Do some query into the cache
            m_robot = self.cache.request_robot_measurement(msg.start, msg.end, min_duration=rospy.Duration(0.01))

            # We found a sample, so we can deactive (kind of a race condition, since 'active' triggers capture() to exit... I don't care)
            if m_robot:
                # Change camera ids to be the tf frame IDs
                for cam in m_robot.M_cam:
                    cam.camera_id = cam.cam_info.header.frame_id
                    m_robot.header.stamp = cam.cam_info.header.stamp
                self.measurement_pub.publish(m_robot)
            else:
                print "Couldn't get measurement in interval"


    def add_cam_measurement(self, cam_id, msg):
        #print "Adding [%s]" 
        if len(msg.features.image_points) > 0:
            with self.lock:
                self.cache.add_cam_measurement(cam_id, msg)


class CamManager:
    def __init__(self, cam_id, cam_info_topic, callback):
        self._cam_id = cam_id
        self._callback = callback
        self._mode = "off"

        self._lock = threading.Lock()

        # How do I specify a queue size of 1?                                                                                                                                
        self._features_sub = message_filters.Subscriber(cam_id + "/features", CalibrationPattern)
        self._cam_info_sub = message_filters.Subscriber(cam_id + "/" + cam_info_topic, CameraInfo)

        self._verbose_sync = message_filters.TimeSynchronizer([self._cam_info_sub, self._features_sub], 10)

        self._verbose_sync.registerCallback(self.verbose_callback)

    def verbose_callback(self, cam_info, features):
        with self._lock:
            if self._mode is "verbose":
                # Populate measurement message                                                                                                                                   
                msg = CameraMeasurement()
                msg.header.stamp = cam_info.header.stamp
                msg.camera_id = self._cam_id
                msg.cam_info = cam_info
                msg.features = features
                self._callback(self._cam_id, msg)

    def enable(self, verbose=False):
        with self._lock:
            self._mode = "verbose"

    def disable(self):
        with self._lock:
            self._mode = "off"


if __name__ == '__main__':
    rospy.init_node('capture_exec')
    args = rospy.myargv(sys.argv)

    # get list of camera's from arguments
    if len(args) < 2:
        rospy.logfatal("multicam_capture_exec.py needs camera's as arguments")
        raise
    camera_list = args[1:]
    executive = CameraCaptureExecutive(camera_list)
    rospy.spin()

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camera_pose_calibration
Author(s): Vijay Pradeep, Wim Meeussen
autogenerated on Fri Mar 1 14:34:07 2013