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_RobotMeasurement.py

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"""autogenerated by genmsg_py from RobotMeasurement.msg. Do not edit."""
import roslib.message
import struct

import sensor_msgs.msg
import camera_pose_calibration.msg
import geometry_msgs.msg
import calibration_msgs.msg
import std_msgs.msg

class RobotMeasurement(roslib.message.Message):
  _md5sum = "c1a18b7e641c3a5dbf96f32a5c580575"
  _type = "camera_pose_calibration/RobotMeasurement"
  _has_header = True #flag to mark the presence of a Header object
  _full_text = """Header header
CameraMeasurement[] M_cam

================================================================================
MSG: std_msgs/Header
# Standard metadata for higher-level stamped data types.
# This is generally used to communicate timestamped data 
# in a particular coordinate frame.
# 
# sequence ID: consecutively increasing ID 
uint32 seq
#Two-integer timestamp that is expressed as:
# * stamp.secs: seconds (stamp_secs) since epoch
# * stamp.nsecs: nanoseconds since stamp_secs
# time-handling sugar is provided by the client library
time stamp
#Frame this data is associated with
# 0: no frame
# 1: global frame
string frame_id

================================================================================
MSG: camera_pose_calibration/CameraMeasurement
Header header
string camera_id
calibration_msgs/CalibrationPattern features
sensor_msgs/CameraInfo cam_info

================================================================================
MSG: calibration_msgs/CalibrationPattern
Header header
geometry_msgs/Point32[] object_points
ImagePoint[] image_points
uint8 success

================================================================================
MSG: geometry_msgs/Point32
# This contains the position of a point in free space(with 32 bits of precision).
# It is recommeded to use Point wherever possible instead of Point32.  
# 
# This recommendation is to promote interoperability.  
#
# This message is designed to take up less space when sending
# lots of points at once, as in the case of a PointCloud.  

float32 x
float32 y
float32 z
================================================================================
MSG: calibration_msgs/ImagePoint
float32 x
float32 y

================================================================================
MSG: sensor_msgs/CameraInfo
# This message defines meta information for a camera. It should be in a
# camera namespace on topic "camera_info" and accompanied by up to five
# image topics named:
#
#   image_raw - raw data from the camera driver, possibly Bayer encoded
#   image            - monochrome, distorted
#   image_color      - color, distorted
#   image_rect       - monochrome, rectified
#   image_rect_color - color, rectified
#
# The image_pipeline contains packages (image_proc, stereo_image_proc)
# for producing the four processed image topics from image_raw and
# camera_info. The meaning of the camera parameters are described in
# detail at http://www.ros.org/wiki/image_pipeline/CameraInfo.
#
# The image_geometry package provides a user-friendly interface to
# common operations using this meta information. If you want to, e.g.,
# project a 3d point into image coordinates, we strongly recommend
# using image_geometry.
#
# If the camera is uncalibrated, the matrices D, K, R, P should be left
# zeroed out. In particular, clients may assume that K[0] == 0.0
# indicates an uncalibrated camera.

#######################################################################
#                     Image acquisition info                          #
#######################################################################

# Time of image acquisition, camera coordinate frame ID
Header header    # Header timestamp should be acquisition time of image
                 # Header frame_id should be optical frame of camera
                 # origin of frame should be optical center of camera
                 # +x should point to the right in the image
                 # +y should point down in the image
                 # +z should point into the plane of the image


#######################################################################
#                      Calibration Parameters                         #
#######################################################################
# These are fixed during camera calibration. Their values will be the #
# same in all messages until the camera is recalibrated. Note that    #
# self-calibrating systems may "recalibrate" frequently.              #
#                                                                     #
# The internal parameters can be used to warp a raw (distorted) image #
# to:                                                                 #
#   1. An undistorted image (requires D and K)                        #
#   2. A rectified image (requires D, K, R)                           #
# The projection matrix P projects 3D points into the rectified image.#
#######################################################################

# The image dimensions with which the camera was calibrated. Normally
# this will be the full camera resolution in pixels.
uint32 height
uint32 width

# The distortion model used. Supported models are listed in
# sensor_msgs/distortion_models.h. For most cameras, "plumb_bob" - a
# simple model of radial and tangential distortion - is sufficent.
string distortion_model

# The distortion parameters, size depending on the distortion model.
# For "plumb_bob", the 5 parameters are: (k1, k2, t1, t2, k3).
float64[] D

# Intrinsic camera matrix for the raw (distorted) images.
#     [fx  0 cx]
# K = [ 0 fy cy]
#     [ 0  0  1]
# Projects 3D points in the camera coordinate frame to 2D pixel
# coordinates using the focal lengths (fx, fy) and principal point
# (cx, cy).
float64[9]  K # 3x3 row-major matrix

# Rectification matrix (stereo cameras only)
# A rotation matrix aligning the camera coordinate system to the ideal
# stereo image plane so that epipolar lines in both stereo images are
# parallel.
float64[9]  R # 3x3 row-major matrix

# Projection/camera matrix
#     [fx'  0  cx' Tx]
# P = [ 0  fy' cy' Ty]
#     [ 0   0   1   0]
# By convention, this matrix specifies the intrinsic (camera) matrix
#  of the processed (rectified) image. That is, the left 3x3 portion
#  is the normal camera intrinsic matrix for the rectified image.
# It projects 3D points in the camera coordinate frame to 2D pixel
#  coordinates using the focal lengths (fx', fy') and principal point
#  (cx', cy') - these may differ from the values in K.
# For monocular cameras, Tx = Ty = 0. Normally, monocular cameras will
#  also have R = the identity and P[1:3,1:3] = K.
# For a stereo pair, the fourth column [Tx Ty 0]' is related to the
#  position of the optical center of the second camera in the first
#  camera's frame. We assume Tz = 0 so both cameras are in the same
#  stereo image plane. The first camera always has Tx = Ty = 0. For
#  the right (second) camera of a horizontal stereo pair, Ty = 0 and
#  Tx = -fx' * B, where B is the baseline between the cameras.
# Given a 3D point [X Y Z]', the projection (x, y) of the point onto
#  the rectified image is given by:
#  [u v w]' = P * [X Y Z 1]'
#         x = u / w
#         y = v / w
#  This holds for both images of a stereo pair.
float64[12] P # 3x4 row-major matrix


#######################################################################
#                      Operational Parameters                         #
#######################################################################
# These define the image region actually captured by the camera       #
# driver. Although they affect the geometry of the output image, they #
# may be changed freely without recalibrating the camera.             #
#######################################################################

# Binning refers here to any camera setting which combines rectangular
#  neighborhoods of pixels into larger "super-pixels." It reduces the
#  resolution of the output image to
#  (width / binning_x) x (height / binning_y).
# The default values binning_x = binning_y = 0 is considered the same
#  as binning_x = binning_y = 1 (no subsampling).
uint32 binning_x
uint32 binning_y

# Region of interest (subwindow of full camera resolution), given in
#  full resolution (unbinned) image coordinates. A particular ROI
#  always denotes the same window of pixels on the camera sensor,
#  regardless of binning settings.
# The default setting of roi (all values 0) is considered the same as
#  full resolution (roi.width = width, roi.height = height).
RegionOfInterest roi

================================================================================
MSG: sensor_msgs/RegionOfInterest
# This message is used to specify a region of interest within an image.
#
# When used to specify the ROI setting of the camera when the image was
# taken, the height and width fields should either match the height and
# width fields for the associated image; or height = width = 0
# indicates that the full resolution image was captured.

uint32 x_offset  # Leftmost pixel of the ROI
                 # (0 if the ROI includes the left edge of the image)
uint32 y_offset  # Topmost pixel of the ROI
                 # (0 if the ROI includes the top edge of the image)
uint32 height    # Height of ROI
uint32 width     # Width of ROI

# True if a distinct rectified ROI should be calculated from the "raw"
# ROI in this message. Typically this should be False if the full image
# is captured (ROI not used), and True if a subwindow is captured (ROI
# used).
bool do_rectify

"""
  __slots__ = ['header','M_cam']
  _slot_types = ['Header','camera_pose_calibration/CameraMeasurement[]']

  def __init__(self, *args, **kwds):
    """
    Constructor. Any message fields that are implicitly/explicitly
    set to None will be assigned a default value. The recommend
    use is keyword arguments as this is more robust to future message
    changes.  You cannot mix in-order arguments and keyword arguments.
    
    The available fields are:
       header,M_cam
    
    @param args: complete set of field values, in .msg order
    @param kwds: use keyword arguments corresponding to message field names
    to set specific fields. 
    """
    if args or kwds:
      super(RobotMeasurement, self).__init__(*args, **kwds)
      #message fields cannot be None, assign default values for those that are
      if self.header is None:
        self.header = std_msgs.msg._Header.Header()
      if self.M_cam is None:
        self.M_cam = []
    else:
      self.header = std_msgs.msg._Header.Header()
      self.M_cam = []

  def _get_types(self):
    """
    internal API method
    """
    return self._slot_types

  def serialize(self, buff):
    """
    serialize message into buffer
    @param buff: buffer
    @type  buff: StringIO
    """
    try:
      _x = self
      buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))
      _x = self.header.frame_id
      length = len(_x)
      buff.write(struct.pack('<I%ss'%length, length, _x))
      length = len(self.M_cam)
      buff.write(_struct_I.pack(length))
      for val1 in self.M_cam:
        _v1 = val1.header
        buff.write(_struct_I.pack(_v1.seq))
        _v2 = _v1.stamp
        _x = _v2
        buff.write(_struct_2I.pack(_x.secs, _x.nsecs))
        _x = _v1.frame_id
        length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        _x = val1.camera_id
        length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        _v3 = val1.features
        _v4 = _v3.header
        buff.write(_struct_I.pack(_v4.seq))
        _v5 = _v4.stamp
        _x = _v5
        buff.write(_struct_2I.pack(_x.secs, _x.nsecs))
        _x = _v4.frame_id
        length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        length = len(_v3.object_points)
        buff.write(_struct_I.pack(length))
        for val3 in _v3.object_points:
          _x = val3
          buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))
        length = len(_v3.image_points)
        buff.write(_struct_I.pack(length))
        for val3 in _v3.image_points:
          _x = val3
          buff.write(_struct_2f.pack(_x.x, _x.y))
        buff.write(_struct_B.pack(_v3.success))
        _v6 = val1.cam_info
        _v7 = _v6.header
        buff.write(_struct_I.pack(_v7.seq))
        _v8 = _v7.stamp
        _x = _v8
        buff.write(_struct_2I.pack(_x.secs, _x.nsecs))
        _x = _v7.frame_id
        length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        _x = _v6
        buff.write(_struct_2I.pack(_x.height, _x.width))
        _x = _v6.distortion_model
        length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        length = len(_v6.D)
        buff.write(_struct_I.pack(length))
        pattern = '<%sd'%length
        buff.write(struct.pack(pattern, *_v6.D))
        buff.write(_struct_9d.pack(*_v6.K))
        buff.write(_struct_9d.pack(*_v6.R))
        buff.write(_struct_12d.pack(*_v6.P))
        _x = _v6
        buff.write(_struct_2I.pack(_x.binning_x, _x.binning_y))
        _v9 = _v6.roi
        _x = _v9
        buff.write(_struct_4IB.pack(_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify))
    except struct.error as se: self._check_types(se)
    except TypeError as te: self._check_types(te)

  def deserialize(self, str):
    """
    unpack serialized message in str into this message instance
    @param str: byte array of serialized message
    @type  str: str
    """
    try:
      if self.header is None:
        self.header = std_msgs.msg._Header.Header()
      end = 0
      _x = self
      start = end
      end += 12
      (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])
      start = end
      end += 4
      (length,) = _struct_I.unpack(str[start:end])
      start = end
      end += length
      self.header.frame_id = str[start:end]
      start = end
      end += 4
      (length,) = _struct_I.unpack(str[start:end])
      self.M_cam = []
      for i in range(0, length):
        val1 = camera_pose_calibration.msg.CameraMeasurement()
        _v10 = val1.header
        start = end
        end += 4
        (_v10.seq,) = _struct_I.unpack(str[start:end])
        _v11 = _v10.stamp
        _x = _v11
        start = end
        end += 8
        (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        _v10.frame_id = str[start:end]
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        val1.camera_id = str[start:end]
        _v12 = val1.features
        _v13 = _v12.header
        start = end
        end += 4
        (_v13.seq,) = _struct_I.unpack(str[start:end])
        _v14 = _v13.stamp
        _x = _v14
        start = end
        end += 8
        (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        _v13.frame_id = str[start:end]
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        _v12.object_points = []
        for i in range(0, length):
          val3 = geometry_msgs.msg.Point32()
          _x = val3
          start = end
          end += 12
          (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])
          _v12.object_points.append(val3)
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        _v12.image_points = []
        for i in range(0, length):
          val3 = calibration_msgs.msg.ImagePoint()
          _x = val3
          start = end
          end += 8
          (_x.x, _x.y,) = _struct_2f.unpack(str[start:end])
          _v12.image_points.append(val3)
        start = end
        end += 1
        (_v12.success,) = _struct_B.unpack(str[start:end])
        _v15 = val1.cam_info
        _v16 = _v15.header
        start = end
        end += 4
        (_v16.seq,) = _struct_I.unpack(str[start:end])
        _v17 = _v16.stamp
        _x = _v17
        start = end
        end += 8
        (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        _v16.frame_id = str[start:end]
        _x = _v15
        start = end
        end += 8
        (_x.height, _x.width,) = _struct_2I.unpack(str[start:end])
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        _v15.distortion_model = str[start:end]
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        pattern = '<%sd'%length
        start = end
        end += struct.calcsize(pattern)
        _v15.D = struct.unpack(pattern, str[start:end])
        start = end
        end += 72
        _v15.K = _struct_9d.unpack(str[start:end])
        start = end
        end += 72
        _v15.R = _struct_9d.unpack(str[start:end])
        start = end
        end += 96
        _v15.P = _struct_12d.unpack(str[start:end])
        _x = _v15
        start = end
        end += 8
        (_x.binning_x, _x.binning_y,) = _struct_2I.unpack(str[start:end])
        _v18 = _v15.roi
        _x = _v18
        start = end
        end += 17
        (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _struct_4IB.unpack(str[start:end])
        _v18.do_rectify = bool(_v18.do_rectify)
        self.M_cam.append(val1)
      return self
    except struct.error as e:
      raise roslib.message.DeserializationError(e) #most likely buffer underfill


  def serialize_numpy(self, buff, numpy):
    """
    serialize message with numpy array types into buffer
    @param buff: buffer
    @type  buff: StringIO
    @param numpy: numpy python module
    @type  numpy module
    """
    try:
      _x = self
      buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))
      _x = self.header.frame_id
      length = len(_x)
      buff.write(struct.pack('<I%ss'%length, length, _x))
      length = len(self.M_cam)
      buff.write(_struct_I.pack(length))
      for val1 in self.M_cam:
        _v19 = val1.header
        buff.write(_struct_I.pack(_v19.seq))
        _v20 = _v19.stamp
        _x = _v20
        buff.write(_struct_2I.pack(_x.secs, _x.nsecs))
        _x = _v19.frame_id
        length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        _x = val1.camera_id
        length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        _v21 = val1.features
        _v22 = _v21.header
        buff.write(_struct_I.pack(_v22.seq))
        _v23 = _v22.stamp
        _x = _v23
        buff.write(_struct_2I.pack(_x.secs, _x.nsecs))
        _x = _v22.frame_id
        length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        length = len(_v21.object_points)
        buff.write(_struct_I.pack(length))
        for val3 in _v21.object_points:
          _x = val3
          buff.write(_struct_3f.pack(_x.x, _x.y, _x.z))
        length = len(_v21.image_points)
        buff.write(_struct_I.pack(length))
        for val3 in _v21.image_points:
          _x = val3
          buff.write(_struct_2f.pack(_x.x, _x.y))
        buff.write(_struct_B.pack(_v21.success))
        _v24 = val1.cam_info
        _v25 = _v24.header
        buff.write(_struct_I.pack(_v25.seq))
        _v26 = _v25.stamp
        _x = _v26
        buff.write(_struct_2I.pack(_x.secs, _x.nsecs))
        _x = _v25.frame_id
        length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        _x = _v24
        buff.write(_struct_2I.pack(_x.height, _x.width))
        _x = _v24.distortion_model
        length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        length = len(_v24.D)
        buff.write(_struct_I.pack(length))
        pattern = '<%sd'%length
        buff.write(_v24.D.tostring())
        buff.write(_v24.K.tostring())
        buff.write(_v24.R.tostring())
        buff.write(_v24.P.tostring())
        _x = _v24
        buff.write(_struct_2I.pack(_x.binning_x, _x.binning_y))
        _v27 = _v24.roi
        _x = _v27
        buff.write(_struct_4IB.pack(_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify))
    except struct.error as se: self._check_types(se)
    except TypeError as te: self._check_types(te)

  def deserialize_numpy(self, str, numpy):
    """
    unpack serialized message in str into this message instance using numpy for array types
    @param str: byte array of serialized message
    @type  str: str
    @param numpy: numpy python module
    @type  numpy: module
    """
    try:
      if self.header is None:
        self.header = std_msgs.msg._Header.Header()
      end = 0
      _x = self
      start = end
      end += 12
      (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _struct_3I.unpack(str[start:end])
      start = end
      end += 4
      (length,) = _struct_I.unpack(str[start:end])
      start = end
      end += length
      self.header.frame_id = str[start:end]
      start = end
      end += 4
      (length,) = _struct_I.unpack(str[start:end])
      self.M_cam = []
      for i in range(0, length):
        val1 = camera_pose_calibration.msg.CameraMeasurement()
        _v28 = val1.header
        start = end
        end += 4
        (_v28.seq,) = _struct_I.unpack(str[start:end])
        _v29 = _v28.stamp
        _x = _v29
        start = end
        end += 8
        (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        _v28.frame_id = str[start:end]
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        val1.camera_id = str[start:end]
        _v30 = val1.features
        _v31 = _v30.header
        start = end
        end += 4
        (_v31.seq,) = _struct_I.unpack(str[start:end])
        _v32 = _v31.stamp
        _x = _v32
        start = end
        end += 8
        (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        _v31.frame_id = str[start:end]
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        _v30.object_points = []
        for i in range(0, length):
          val3 = geometry_msgs.msg.Point32()
          _x = val3
          start = end
          end += 12
          (_x.x, _x.y, _x.z,) = _struct_3f.unpack(str[start:end])
          _v30.object_points.append(val3)
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        _v30.image_points = []
        for i in range(0, length):
          val3 = calibration_msgs.msg.ImagePoint()
          _x = val3
          start = end
          end += 8
          (_x.x, _x.y,) = _struct_2f.unpack(str[start:end])
          _v30.image_points.append(val3)
        start = end
        end += 1
        (_v30.success,) = _struct_B.unpack(str[start:end])
        _v33 = val1.cam_info
        _v34 = _v33.header
        start = end
        end += 4
        (_v34.seq,) = _struct_I.unpack(str[start:end])
        _v35 = _v34.stamp
        _x = _v35
        start = end
        end += 8
        (_x.secs, _x.nsecs,) = _struct_2I.unpack(str[start:end])
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        _v34.frame_id = str[start:end]
        _x = _v33
        start = end
        end += 8
        (_x.height, _x.width,) = _struct_2I.unpack(str[start:end])
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        _v33.distortion_model = str[start:end]
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        pattern = '<%sd'%length
        start = end
        end += struct.calcsize(pattern)
        _v33.D = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)
        start = end
        end += 72
        _v33.K = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)
        start = end
        end += 72
        _v33.R = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=9)
        start = end
        end += 96
        _v33.P = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=12)
        _x = _v33
        start = end
        end += 8
        (_x.binning_x, _x.binning_y,) = _struct_2I.unpack(str[start:end])
        _v36 = _v33.roi
        _x = _v36
        start = end
        end += 17
        (_x.x_offset, _x.y_offset, _x.height, _x.width, _x.do_rectify,) = _struct_4IB.unpack(str[start:end])
        _v36.do_rectify = bool(_v36.do_rectify)
        self.M_cam.append(val1)
      return self
    except struct.error as e:
      raise roslib.message.DeserializationError(e) #most likely buffer underfill

_struct_I = roslib.message.struct_I
_struct_B = struct.Struct("<B")
_struct_12d = struct.Struct("<12d")
_struct_2f = struct.Struct("<2f")
_struct_3f = struct.Struct("<3f")
_struct_3I = struct.Struct("<3I")
_struct_9d = struct.Struct("<9d")
_struct_2I = struct.Struct("<2I")
_struct_4IB = struct.Struct("<4IB")

---

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