GetClusteredImage.h

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/* Auto-generated by genmsg_cpp for file /home/rosbuild/hudson/workspace/doc-fuerte-all-iri-ros.pub/doc_stacks/2013-12-06_19-37-16.229269/iri_perception/iri_leaf_segmentation/srv/GetClusteredImage.srv */
#ifndef IRI_LEAF_SEGMENTATION_SERVICE_GETCLUSTEREDIMAGE_H
#define IRI_LEAF_SEGMENTATION_SERVICE_GETCLUSTEREDIMAGE_H
#include <string>
#include <vector>
#include <map>
#include <ostream>
#include "ros/serialization.h"
#include "ros/builtin_message_traits.h"
#include "ros/message_operations.h"
#include "ros/time.h"

#include "ros/macros.h"

#include "ros/assert.h"

#include "ros/service_traits.h"

#include "sensor_msgs/PointCloud2.h"


#include "std_msgs/UInt32.h"
#include "std_msgs/UInt32MultiArray.h"

namespace iri_leaf_segmentation
{
template <class ContainerAllocator>
struct GetClusteredImageRequest_ {
  typedef GetClusteredImageRequest_<ContainerAllocator> Type;

  GetClusteredImageRequest_()
  : point_cloud()
  {
  }

  GetClusteredImageRequest_(const ContainerAllocator& _alloc)
  : point_cloud(_alloc)
  {
  }

  typedef  ::sensor_msgs::PointCloud2_<ContainerAllocator>  _point_cloud_type;
   ::sensor_msgs::PointCloud2_<ContainerAllocator>  point_cloud;


  typedef boost::shared_ptr< ::iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> > Ptr;
  typedef boost::shared_ptr< ::iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator>  const> ConstPtr;
  boost::shared_ptr<std::map<std::string, std::string> > __connection_header;
}; // struct GetClusteredImageRequest
typedef  ::iri_leaf_segmentation::GetClusteredImageRequest_<std::allocator<void> > GetClusteredImageRequest;

typedef boost::shared_ptr< ::iri_leaf_segmentation::GetClusteredImageRequest> GetClusteredImageRequestPtr;
typedef boost::shared_ptr< ::iri_leaf_segmentation::GetClusteredImageRequest const> GetClusteredImageRequestConstPtr;


template <class ContainerAllocator>
struct GetClusteredImageResponse_ {
  typedef GetClusteredImageResponse_<ContainerAllocator> Type;

  GetClusteredImageResponse_()
  : num_clusters()
  , cluster_labels()
  {
  }

  GetClusteredImageResponse_(const ContainerAllocator& _alloc)
  : num_clusters(_alloc)
  , cluster_labels(_alloc)
  {
  }

  typedef  ::std_msgs::UInt32_<ContainerAllocator>  _num_clusters_type;
   ::std_msgs::UInt32_<ContainerAllocator>  num_clusters;

  typedef  ::std_msgs::UInt32MultiArray_<ContainerAllocator>  _cluster_labels_type;
   ::std_msgs::UInt32MultiArray_<ContainerAllocator>  cluster_labels;


  typedef boost::shared_ptr< ::iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> > Ptr;
  typedef boost::shared_ptr< ::iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator>  const> ConstPtr;
  boost::shared_ptr<std::map<std::string, std::string> > __connection_header;
}; // struct GetClusteredImageResponse
typedef  ::iri_leaf_segmentation::GetClusteredImageResponse_<std::allocator<void> > GetClusteredImageResponse;

typedef boost::shared_ptr< ::iri_leaf_segmentation::GetClusteredImageResponse> GetClusteredImageResponsePtr;
typedef boost::shared_ptr< ::iri_leaf_segmentation::GetClusteredImageResponse const> GetClusteredImageResponseConstPtr;

struct GetClusteredImage
{

typedef GetClusteredImageRequest Request;
typedef GetClusteredImageResponse Response;
Request request;
Response response;

typedef Request RequestType;
typedef Response ResponseType;
}; // struct GetClusteredImage
} // namespace iri_leaf_segmentation

namespace ros
{
namespace message_traits
{
template<class ContainerAllocator> struct IsMessage< ::iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> > : public TrueType {};
template<class ContainerAllocator> struct IsMessage< ::iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator>  const> : public TrueType {};
template<class ContainerAllocator>
struct MD5Sum< ::iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "d8288ab03c94033ddae07988baace1f7";
  }

  static const char* value(const  ::iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> &) { return value(); } 
  static const uint64_t static_value1 = 0xd8288ab03c94033dULL;
  static const uint64_t static_value2 = 0xdae07988baace1f7ULL;
};

template<class ContainerAllocator>
struct DataType< ::iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_leaf_segmentation/GetClusteredImageRequest";
  }

  static const char* value(const  ::iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> &) { return value(); } 
};

template<class ContainerAllocator>
struct Definition< ::iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "\n\
sensor_msgs/PointCloud2 point_cloud\n\
\n\
================================================================================\n\
MSG: sensor_msgs/PointCloud2\n\
# This message holds a collection of N-dimensional points, which may\n\
# contain additional information such as normals, intensity, etc. The\n\
# point data is stored as a binary blob, its layout described by the\n\
# contents of the \"fields\" array.\n\
\n\
# The point cloud data may be organized 2d (image-like) or 1d\n\
# (unordered). Point clouds organized as 2d images may be produced by\n\
# camera depth sensors such as stereo or time-of-flight.\n\
\n\
# Time of sensor data acquisition, and the coordinate frame ID (for 3d\n\
# points).\n\
Header header\n\
\n\
# 2D structure of the point cloud. If the cloud is unordered, height is\n\
# 1 and width is the length of the point cloud.\n\
uint32 height\n\
uint32 width\n\
\n\
# Describes the channels and their layout in the binary data blob.\n\
PointField[] fields\n\
\n\
bool    is_bigendian # Is this data bigendian?\n\
uint32  point_step   # Length of a point in bytes\n\
uint32  row_step     # Length of a row in bytes\n\
uint8[] data         # Actual point data, size is (row_step*height)\n\
\n\
bool is_dense        # True if there are no invalid points\n\
\n\
================================================================================\n\
MSG: std_msgs/Header\n\
# Standard metadata for higher-level stamped data types.\n\
# This is generally used to communicate timestamped data \n\
# in a particular coordinate frame.\n\
# \n\
# sequence ID: consecutively increasing ID \n\
uint32 seq\n\
#Two-integer timestamp that is expressed as:\n\
# * stamp.secs: seconds (stamp_secs) since epoch\n\
# * stamp.nsecs: nanoseconds since stamp_secs\n\
# time-handling sugar is provided by the client library\n\
time stamp\n\
#Frame this data is associated with\n\
# 0: no frame\n\
# 1: global frame\n\
string frame_id\n\
\n\
================================================================================\n\
MSG: sensor_msgs/PointField\n\
# This message holds the description of one point entry in the\n\
# PointCloud2 message format.\n\
uint8 INT8    = 1\n\
uint8 UINT8   = 2\n\
uint8 INT16   = 3\n\
uint8 UINT16  = 4\n\
uint8 INT32   = 5\n\
uint8 UINT32  = 6\n\
uint8 FLOAT32 = 7\n\
uint8 FLOAT64 = 8\n\
\n\
string name      # Name of field\n\
uint32 offset    # Offset from start of point struct\n\
uint8  datatype  # Datatype enumeration, see above\n\
uint32 count     # How many elements in the field\n\
\n\
";
  }

  static const char* value(const  ::iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> &) { return value(); } 
};

} // namespace message_traits
} // namespace ros


namespace ros
{
namespace message_traits
{
template<class ContainerAllocator> struct IsMessage< ::iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> > : public TrueType {};
template<class ContainerAllocator> struct IsMessage< ::iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator>  const> : public TrueType {};
template<class ContainerAllocator>
struct MD5Sum< ::iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "473c59501c5a8d02d0d0a1bc6ce725b3";
  }

  static const char* value(const  ::iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> &) { return value(); } 
  static const uint64_t static_value1 = 0x473c59501c5a8d02ULL;
  static const uint64_t static_value2 = 0xd0d0a1bc6ce725b3ULL;
};

template<class ContainerAllocator>
struct DataType< ::iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_leaf_segmentation/GetClusteredImageResponse";
  }

  static const char* value(const  ::iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> &) { return value(); } 
};

template<class ContainerAllocator>
struct Definition< ::iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "\n\
std_msgs/UInt32 num_clusters\n\
std_msgs/UInt32MultiArray cluster_labels\n\
\n\
\n\
================================================================================\n\
MSG: std_msgs/UInt32\n\
uint32 data\n\
================================================================================\n\
MSG: std_msgs/UInt32MultiArray\n\
# Please look at the MultiArrayLayout message definition for\n\
# documentation on all multiarrays.\n\
\n\
MultiArrayLayout  layout        # specification of data layout\n\
uint32[]          data          # array of data\n\
\n\
\n\
================================================================================\n\
MSG: std_msgs/MultiArrayLayout\n\
# The multiarray declares a generic multi-dimensional array of a\n\
# particular data type.  Dimensions are ordered from outer most\n\
# to inner most.\n\
\n\
MultiArrayDimension[] dim # Array of dimension properties\n\
uint32 data_offset        # padding bytes at front of data\n\
\n\
# Accessors should ALWAYS be written in terms of dimension stride\n\
# and specified outer-most dimension first.\n\
# \n\
# multiarray(i,j,k) = data[data_offset + dim_stride[1]*i + dim_stride[2]*j + k]\n\
#\n\
# A standard, 3-channel 640x480 image with interleaved color channels\n\
# would be specified as:\n\
#\n\
# dim[0].label  = \"height\"\n\
# dim[0].size   = 480\n\
# dim[0].stride = 3*640*480 = 921600  (note dim[0] stride is just size of image)\n\
# dim[1].label  = \"width\"\n\
# dim[1].size   = 640\n\
# dim[1].stride = 3*640 = 1920\n\
# dim[2].label  = \"channel\"\n\
# dim[2].size   = 3\n\
# dim[2].stride = 3\n\
#\n\
# multiarray(i,j,k) refers to the ith row, jth column, and kth channel.\n\
================================================================================\n\
MSG: std_msgs/MultiArrayDimension\n\
string label   # label of given dimension\n\
uint32 size    # size of given dimension (in type units)\n\
uint32 stride  # stride of given dimension\n\
";
  }

  static const char* value(const  ::iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> &) { return value(); } 
};

} // namespace message_traits
} // namespace ros

namespace ros
{
namespace serialization
{

template<class ContainerAllocator> struct Serializer< ::iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> >
{
  template<typename Stream, typename T> inline static void allInOne(Stream& stream, T m)
  {
    stream.next(m.point_cloud);
  }

  ROS_DECLARE_ALLINONE_SERIALIZER;
}; // struct GetClusteredImageRequest_
} // namespace serialization
} // namespace ros


namespace ros
{
namespace serialization
{

template<class ContainerAllocator> struct Serializer< ::iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> >
{
  template<typename Stream, typename T> inline static void allInOne(Stream& stream, T m)
  {
    stream.next(m.num_clusters);
    stream.next(m.cluster_labels);
  }

  ROS_DECLARE_ALLINONE_SERIALIZER;
}; // struct GetClusteredImageResponse_
} // namespace serialization
} // namespace ros

namespace ros
{
namespace service_traits
{
template<>
struct MD5Sum<iri_leaf_segmentation::GetClusteredImage> {
  static const char* value() 
  {
    return "c50deb273a1d93ca8b34b168c428c102";
  }

  static const char* value(const iri_leaf_segmentation::GetClusteredImage&) { return value(); } 
};

template<>
struct DataType<iri_leaf_segmentation::GetClusteredImage> {
  static const char* value() 
  {
    return "iri_leaf_segmentation/GetClusteredImage";
  }

  static const char* value(const iri_leaf_segmentation::GetClusteredImage&) { return value(); } 
};

template<class ContainerAllocator>
struct MD5Sum<iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "c50deb273a1d93ca8b34b168c428c102";
  }

  static const char* value(const iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> &) { return value(); } 
};

template<class ContainerAllocator>
struct DataType<iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_leaf_segmentation/GetClusteredImage";
  }

  static const char* value(const iri_leaf_segmentation::GetClusteredImageRequest_<ContainerAllocator> &) { return value(); } 
};

template<class ContainerAllocator>
struct MD5Sum<iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "c50deb273a1d93ca8b34b168c428c102";
  }

  static const char* value(const iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> &) { return value(); } 
};

template<class ContainerAllocator>
struct DataType<iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_leaf_segmentation/GetClusteredImage";
  }

  static const char* value(const iri_leaf_segmentation::GetClusteredImageResponse_<ContainerAllocator> &) { return value(); } 
};

} // namespace service_traits
} // namespace ros

#endif // IRI_LEAF_SEGMENTATION_SERVICE_GETCLUSTEREDIMAGE_H