ApplyPointCloudFilter.h

Go to the documentation of this file.

/* 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_filters/iri_filter_jump_edge/srv/ApplyPointCloudFilter.srv */
#ifndef IRI_FILTER_JUMP_EDGE_SERVICE_APPLYPOINTCLOUDFILTER_H
#define IRI_FILTER_JUMP_EDGE_SERVICE_APPLYPOINTCLOUDFILTER_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 "sensor_msgs/PointCloud2.h"
#include "sensor_msgs/PointCloud2.h"
#include "sensor_msgs/Image.h"

namespace iri_filter_jump_edge
{
template <class ContainerAllocator>
struct ApplyPointCloudFilterRequest_ {
  typedef ApplyPointCloudFilterRequest_<ContainerAllocator> Type;

  ApplyPointCloudFilterRequest_()
  : input_pc()
  {
  }

  ApplyPointCloudFilterRequest_(const ContainerAllocator& _alloc)
  : input_pc(_alloc)
  {
  }

  typedef  ::sensor_msgs::PointCloud2_<ContainerAllocator>  _input_pc_type;
   ::sensor_msgs::PointCloud2_<ContainerAllocator>  input_pc;


  typedef boost::shared_ptr< ::iri_filter_jump_edge::ApplyPointCloudFilterRequest_<ContainerAllocator> > Ptr;
  typedef boost::shared_ptr< ::iri_filter_jump_edge::ApplyPointCloudFilterRequest_<ContainerAllocator>  const> ConstPtr;
  boost::shared_ptr<std::map<std::string, std::string> > __connection_header;
}; // struct ApplyPointCloudFilterRequest
typedef  ::iri_filter_jump_edge::ApplyPointCloudFilterRequest_<std::allocator<void> > ApplyPointCloudFilterRequest;

typedef boost::shared_ptr< ::iri_filter_jump_edge::ApplyPointCloudFilterRequest> ApplyPointCloudFilterRequestPtr;
typedef boost::shared_ptr< ::iri_filter_jump_edge::ApplyPointCloudFilterRequest const> ApplyPointCloudFilterRequestConstPtr;


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

  ApplyPointCloudFilterResponse_()
  : filtered_pc()
  , residual_pc()
  , residual_img()
  {
  }

  ApplyPointCloudFilterResponse_(const ContainerAllocator& _alloc)
  : filtered_pc(_alloc)
  , residual_pc(_alloc)
  , residual_img(_alloc)
  {
  }

  typedef  ::sensor_msgs::PointCloud2_<ContainerAllocator>  _filtered_pc_type;
   ::sensor_msgs::PointCloud2_<ContainerAllocator>  filtered_pc;

  typedef  ::sensor_msgs::PointCloud2_<ContainerAllocator>  _residual_pc_type;
   ::sensor_msgs::PointCloud2_<ContainerAllocator>  residual_pc;

  typedef  ::sensor_msgs::Image_<ContainerAllocator>  _residual_img_type;
   ::sensor_msgs::Image_<ContainerAllocator>  residual_img;


  typedef boost::shared_ptr< ::iri_filter_jump_edge::ApplyPointCloudFilterResponse_<ContainerAllocator> > Ptr;
  typedef boost::shared_ptr< ::iri_filter_jump_edge::ApplyPointCloudFilterResponse_<ContainerAllocator>  const> ConstPtr;
  boost::shared_ptr<std::map<std::string, std::string> > __connection_header;
}; // struct ApplyPointCloudFilterResponse
typedef  ::iri_filter_jump_edge::ApplyPointCloudFilterResponse_<std::allocator<void> > ApplyPointCloudFilterResponse;

typedef boost::shared_ptr< ::iri_filter_jump_edge::ApplyPointCloudFilterResponse> ApplyPointCloudFilterResponsePtr;
typedef boost::shared_ptr< ::iri_filter_jump_edge::ApplyPointCloudFilterResponse const> ApplyPointCloudFilterResponseConstPtr;

struct ApplyPointCloudFilter
{

typedef ApplyPointCloudFilterRequest Request;
typedef ApplyPointCloudFilterResponse Response;
Request request;
Response response;

typedef Request RequestType;
typedef Response ResponseType;
}; // struct ApplyPointCloudFilter
} // namespace iri_filter_jump_edge

namespace ros
{
namespace message_traits
{
template<class ContainerAllocator> struct IsMessage< ::iri_filter_jump_edge::ApplyPointCloudFilterRequest_<ContainerAllocator> > : public TrueType {};
template<class ContainerAllocator> struct IsMessage< ::iri_filter_jump_edge::ApplyPointCloudFilterRequest_<ContainerAllocator>  const> : public TrueType {};
template<class ContainerAllocator>
struct MD5Sum< ::iri_filter_jump_edge::ApplyPointCloudFilterRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "cc8a0ff70cde5ed9daa21011f9ebd9fc";
  }

  static const char* value(const  ::iri_filter_jump_edge::ApplyPointCloudFilterRequest_<ContainerAllocator> &) { return value(); } 
  static const uint64_t static_value1 = 0xcc8a0ff70cde5ed9ULL;
  static const uint64_t static_value2 = 0xdaa21011f9ebd9fcULL;
};

template<class ContainerAllocator>
struct DataType< ::iri_filter_jump_edge::ApplyPointCloudFilterRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_filter_jump_edge/ApplyPointCloudFilterRequest";
  }

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

template<class ContainerAllocator>
struct Definition< ::iri_filter_jump_edge::ApplyPointCloudFilterRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "\n\
sensor_msgs/PointCloud2 input_pc\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_filter_jump_edge::ApplyPointCloudFilterRequest_<ContainerAllocator> &) { return value(); } 
};

} // namespace message_traits
} // namespace ros


namespace ros
{
namespace message_traits
{
template<class ContainerAllocator> struct IsMessage< ::iri_filter_jump_edge::ApplyPointCloudFilterResponse_<ContainerAllocator> > : public TrueType {};
template<class ContainerAllocator> struct IsMessage< ::iri_filter_jump_edge::ApplyPointCloudFilterResponse_<ContainerAllocator>  const> : public TrueType {};
template<class ContainerAllocator>
struct MD5Sum< ::iri_filter_jump_edge::ApplyPointCloudFilterResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "3dc41414c32aeee905433e8ab58b46a8";
  }

  static const char* value(const  ::iri_filter_jump_edge::ApplyPointCloudFilterResponse_<ContainerAllocator> &) { return value(); } 
  static const uint64_t static_value1 = 0x3dc41414c32aeee9ULL;
  static const uint64_t static_value2 = 0x05433e8ab58b46a8ULL;
};

template<class ContainerAllocator>
struct DataType< ::iri_filter_jump_edge::ApplyPointCloudFilterResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_filter_jump_edge/ApplyPointCloudFilterResponse";
  }

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

template<class ContainerAllocator>
struct Definition< ::iri_filter_jump_edge::ApplyPointCloudFilterResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "\n\
sensor_msgs/PointCloud2 filtered_pc\n\
sensor_msgs/PointCloud2 residual_pc\n\
sensor_msgs/Image residual_img\n\
\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\
================================================================================\n\
MSG: sensor_msgs/Image\n\
# This message contains an uncompressed image\n\
# (0, 0) is at top-left corner of image\n\
#\n\
\n\
Header header        # Header timestamp should be acquisition time of image\n\
                     # Header frame_id should be optical frame of camera\n\
                     # origin of frame should be optical center of cameara\n\
                     # +x should point to the right in the image\n\
                     # +y should point down in the image\n\
                     # +z should point into to plane of the image\n\
                     # If the frame_id here and the frame_id of the CameraInfo\n\
                     # message associated with the image conflict\n\
                     # the behavior is undefined\n\
\n\
uint32 height         # image height, that is, number of rows\n\
uint32 width          # image width, that is, number of columns\n\
\n\
# The legal values for encoding are in file src/image_encodings.cpp\n\
# If you want to standardize a new string format, join\n\
# ros-users@lists.sourceforge.net and send an email proposing a new encoding.\n\
\n\
string encoding       # Encoding of pixels -- channel meaning, ordering, size\n\
                      # taken from the list of strings in src/image_encodings.cpp\n\
\n\
uint8 is_bigendian    # is this data bigendian?\n\
uint32 step           # Full row length in bytes\n\
uint8[] data          # actual matrix data, size is (step * rows)\n\
\n\
";
  }

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

} // namespace message_traits
} // namespace ros

namespace ros
{
namespace serialization
{

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

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


namespace ros
{
namespace serialization
{

template<class ContainerAllocator> struct Serializer< ::iri_filter_jump_edge::ApplyPointCloudFilterResponse_<ContainerAllocator> >
{
  template<typename Stream, typename T> inline static void allInOne(Stream& stream, T m)
  {
    stream.next(m.filtered_pc);
    stream.next(m.residual_pc);
    stream.next(m.residual_img);
  }

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

namespace ros
{
namespace service_traits
{
template<>
struct MD5Sum<iri_filter_jump_edge::ApplyPointCloudFilter> {
  static const char* value() 
  {
    return "e697fd905e25ed1dfb7581a727f2cb22";
  }

  static const char* value(const iri_filter_jump_edge::ApplyPointCloudFilter&) { return value(); } 
};

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

  static const char* value(const iri_filter_jump_edge::ApplyPointCloudFilter&) { return value(); } 
};

template<class ContainerAllocator>
struct MD5Sum<iri_filter_jump_edge::ApplyPointCloudFilterRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "e697fd905e25ed1dfb7581a727f2cb22";
  }

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

template<class ContainerAllocator>
struct DataType<iri_filter_jump_edge::ApplyPointCloudFilterRequest_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_filter_jump_edge/ApplyPointCloudFilter";
  }

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

template<class ContainerAllocator>
struct MD5Sum<iri_filter_jump_edge::ApplyPointCloudFilterResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "e697fd905e25ed1dfb7581a727f2cb22";
  }

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

template<class ContainerAllocator>
struct DataType<iri_filter_jump_edge::ApplyPointCloudFilterResponse_<ContainerAllocator> > {
  static const char* value() 
  {
    return "iri_filter_jump_edge/ApplyPointCloudFilter";
  }

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

} // namespace service_traits
} // namespace ros

#endif // IRI_FILTER_JUMP_EDGE_SERVICE_APPLYPOINTCLOUDFILTER_H