Sync pcl_nodelets.xml from hydro to indigo
Fixes to pass catkin lint -W1
This commit is contained in:
Lucid One
Paul Bovbel
parent
d245f70f4f
commit
afeb804f30
@ -33,13 +33,6 @@ include_directories(include
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${PCL_INCLUDE_DIRS}
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)
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## Add link directories
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link_directories(
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${Boost_LIBRARY_DIRS}
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${Eigen_LIBRARY_DIRS}
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${PCL_LIBRARY_DIRS}
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)
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## Generate dynamic_reconfigure
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generate_dynamic_reconfigure_options(
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cfg/EuclideanClusterExtraction.cfg
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@ -83,7 +76,7 @@ catkin_package(
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## Declare the pcl_ros_tf library
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add_library(pcl_ros_tf src/transforms.cpp)
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target_link_libraries(pcl_ros_tf ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${PCL_LIBRARIES})
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target_link_libraries(pcl_ros_tf ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${Eigen_LIBRARIES} ${PCL_LIBRARIES})
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add_dependencies(pcl_ros_tf pcl_ros_generate_messages_cpp ${catkin_EXPORTED_TARGETS})
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## Nodelets
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@ -96,7 +89,7 @@ add_library(pcl_ros_io
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src/pcl_ros/io/io.cpp
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src/pcl_ros/io/pcd_io.cpp
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)
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target_link_libraries(pcl_ros_io pcl_ros_tf ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${PCL_LIBRARIES})
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target_link_libraries(pcl_ros_io pcl_ros_tf ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${Eigen_LIBRARIES} ${PCL_LIBRARIES})
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class_loader_hide_library_symbols(pcl_ros_io)
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## Declare the pcl_ros_features library
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@ -115,7 +108,7 @@ add_library(pcl_ros_features
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src/pcl_ros/features/principal_curvatures.cpp
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src/pcl_ros/features/vfh.cpp
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)
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target_link_libraries (pcl_ros_features ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${PCL_LIBRARIES})
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target_link_libraries (pcl_ros_features ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${Eigen_LIBRARIES} ${PCL_LIBRARIES})
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add_dependencies(pcl_ros_features ${PROJECT_NAME}_gencfg)
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class_loader_hide_library_symbols(pcl_ros_features)
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@ -131,7 +124,7 @@ add_library(pcl_ros_filters
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src/pcl_ros/filters/voxel_grid.cpp
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src/pcl_ros/filters/crop_box.cpp
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)
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target_link_libraries(pcl_ros_filters pcl_ros_tf ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${PCL_LIBRARIES})
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target_link_libraries(pcl_ros_filters pcl_ros_tf ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${Eigen_LIBRARIES} ${PCL_LIBRARIES})
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add_dependencies(pcl_ros_filters ${PROJECT_NAME}_gencfg)
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class_loader_hide_library_symbols(pcl_ros_filters)
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@ -143,7 +136,7 @@ add_library (pcl_ros_segmentation
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src/pcl_ros/segmentation/segment_differences.cpp
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src/pcl_ros/segmentation/segmentation.cpp
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)
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target_link_libraries(pcl_ros_segmentation pcl_segmentation pcl_ros_tf ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${PCL_LIBRARIES})
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target_link_libraries(pcl_ros_segmentation pcl_segmentation pcl_ros_tf ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${Eigen_LIBRARIES} ${PCL_LIBRARIES})
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add_dependencies(pcl_ros_segmentation ${PROJECT_NAME}_gencfg)
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class_loader_hide_library_symbols(pcl_ros_segmentation)
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@ -154,26 +147,26 @@ add_library (pcl_ros_surface
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src/pcl_ros/surface/convex_hull.cpp
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src/pcl_ros/surface/moving_least_squares.cpp
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)
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target_link_libraries(pcl_ros_surface ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${PCL_LIBRARIES})
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target_link_libraries(pcl_ros_surface ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${Eigen_LIBRARIES} ${PCL_LIBRARIES})
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add_dependencies(pcl_ros_surface ${PROJECT_NAME}_gencfg)
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class_loader_hide_library_symbols(pcl_ros_surface)
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## Tools
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add_executable(pcd_to_pointcloud tools/pcd_to_pointcloud.cpp)
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target_link_libraries(pcd_to_pointcloud pcl_io ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${PCL_LIBRARIES})
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target_link_libraries(pcd_to_pointcloud pcl_io ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${Eigen_LIBRARIES} ${PCL_LIBRARIES})
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add_executable(pointcloud_to_pcd tools/pointcloud_to_pcd.cpp)
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target_link_libraries(pointcloud_to_pcd pcl_io ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${PCL_LIBRARIES})
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target_link_libraries(pointcloud_to_pcd pcl_io ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${Eigen_LIBRARY_DIRS} ${PCL_LIBRARIES})
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add_executable(bag_to_pcd tools/bag_to_pcd.cpp)
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target_link_libraries(bag_to_pcd pcl_io pcl_ros_tf ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${PCL_LIBRARIES})
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target_link_libraries(bag_to_pcd pcl_io pcl_ros_tf ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${Eigen_LIBRARY_DIRS} ${PCL_LIBRARIES})
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add_executable(convert_pcd_to_image tools/convert_pcd_to_image.cpp)
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target_link_libraries(convert_pcd_to_image pcl_io pcl_common ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${PCL_LIBRARIES})
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target_link_libraries(convert_pcd_to_image pcl_io pcl_common ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${Eigen_LIBRARIES} ${PCL_LIBRARIES})
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add_executable(convert_pointcloud_to_image tools/convert_pointcloud_to_image.cpp)
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target_link_libraries(convert_pointcloud_to_image pcl_io ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${PCL_LIBRARIES})
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target_link_libraries(convert_pointcloud_to_image pcl_io ${Boost_LIBRARIES} ${catkin_LIBRARIES} ${Eigen_LIBRARIES} ${PCL_LIBRARIES})
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install(DIRECTORY include/${PROJECT_NAME}/
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@ -20,8 +20,11 @@
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<url type="repository">https://github.com/ros-perception/perception_pcl</url>
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<buildtool_depend>catkin</buildtool_depend>
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<build_depend>cmake_modules</build_depend>
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<build_depend>rosconsole</build_depend>
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<build_depend>genmsg</build_depend>
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<build_depend>roslib</build_depend>
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<build_depend>dynamic_reconfigure</build_depend>
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<build_depend>eigen</build_depend>
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<build_depend>nodelet</build_depend>
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@ -47,6 +47,41 @@
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in parallel, using the OpenMP standard.
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</description>
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</class>
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<class name="pcl/NormalEstimationTBB" type="NormalEstimationTBB" base_class_type="nodelet::Nodelet">
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<description>
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NormalEstimationTBB estimates local surface properties at each 3D point, such as surface normals and curvatures, in
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parallel, using Intel's Threading Building Blocks library.
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</description>
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</class>
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<class name="pcl/NormalEstimation" type="NormalEstimation" base_class_type="nodelet::Nodelet">
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<description>
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NormalEstimation estimates local surface properties at each 3D point, such as surface normals and curvatures.
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</description>
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</class>
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<class name="pcl/PFHEstimation" type="PFHEstimation" base_class_type="nodelet::Nodelet">
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<description>
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PFHEstimation estimates the Point Feature Histogram (PFH) descriptor for a given point cloud dataset containing
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points and normals.
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</description>
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</class>
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<class name="pcl/PrincipalCurvaturesEstimation" type="PrincipalCurvaturesEstimation" base_class_type="nodelet::Nodelet">
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<description>
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PrincipalCurvaturesEstimation estimates the directions (eigenvectors) and magnitudes (eigenvalues) of principal surface
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curvatures for a given point cloud dataset containing points and normals.
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</description>
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</class>
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<class name="pcl/VFHEstimation" type="VFHEstimation" base_class_type="nodelet::Nodelet">
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<description>
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VFHEstimation estimates the Viewpoint Feature Histogram (VFH) global descriptor for a given point cloud cluster dataset
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containing points and normals.
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</description>
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</class>
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</library>
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<!-- PCL IO library component -->
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@ -143,5 +178,55 @@
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</class>
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</library>
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<!-- PCL Segmentation library component -->
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<library path="lib/libpcl_ros_segmentation">
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<class name="pcl/ExtractPolygonalPrismData" type="ExtractPolygonalPrismData" base_class_type="nodelet::Nodelet">
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<description>
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ExtractPolygonalPrismData uses a set of point indices that represent a planar model, and together with a given
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height, generates a 3D polygonal prism. The polygonal prism is then used to segment all points lying inside it.
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</description>
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</class>
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<class name="pcl/EuclideanClusterExtraction" type="EuclideanClusterExtraction" base_class_type="nodelet::Nodelet">
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<description>
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EuclideanClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense.
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</description>
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</class>
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<class name="pcl/SACSegmentationFromNormals" type="SACSegmentationFromNormals" base_class_type="nodelet::Nodelet">
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<description>
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SACSegmentation represents the Nodelet segmentation class for Sample Consensus methods and models, in the sense that
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it just creates a Nodelet wrapper for generic-purpose SAC-based segmentation.
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</description>
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</class>
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<class name="pcl/SACSegmentation" type="SACSegmentation" base_class_type="nodelet::Nodelet">
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<description>
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SACSegmentation represents the Nodelet segmentation class for Sample Consensus methods and models, in the sense that
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it just creates a Nodelet wrapper for generic-purpose SAC-based segmentation.
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</description>
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</class>
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<class name="pcl/SegmentDifferences" type="SegmentDifferences" base_class_type="nodelet::Nodelet">
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<description>
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SegmentDifferences obtains the difference between two spatially aligned point clouds and returns the
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difference between them for a maximum given distance threshold.
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</description>
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</class>
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</library>
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<!-- PCL Surface reconstruction library component -->
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<library path="lib/libpcl_ros_surface">
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<class name="pcl/MovingLeastSquares" type="MovingLeastSquares" base_class_type="nodelet::Nodelet">
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<description>
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MovingLeastSquares is an implementation of the MLS algorithm for data reconstruction through bivariate polynomial fitting.
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</description>
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</class>
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<class name="pcl/ConvexHull2D" type="ConvexHull2D" base_class_type="nodelet::Nodelet">
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<description>
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ConvexHull2D represents a 2D ConvexHull implementation.
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</description>
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</class>
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</library>
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