Point Cloud Library (PCL)
1.8.0
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EuclideanLabeledClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense, depending on pcl::gpu::octree More...
Public Types | |
typedef pcl::PointXYZ | PointType |
typedef pcl::PointCloud< PointT > | PointCloudHost |
typedef PointCloudHost::Ptr | PointCloudHostPtr |
typedef PointCloudHost::ConstPtr | PointCloudHostConstPtr |
typedef PointIndices::Ptr | PointIndicesPtr |
typedef PointIndices::ConstPtr | PointIndicesConstPtr |
typedef pcl::gpu::Octree | GPUTree |
typedef pcl::gpu::Octree::Ptr | GPUTreePtr |
typedef pcl::gpu::Octree::PointCloud | CloudDevice |
Public Member Functions | |
EuclideanLabeledClusterExtraction () | |
Empty constructor. More... | |
void | setSearchMethod (const GPUTreePtr &tree) |
Provide a pointer to the search object. More... | |
GPUTreePtr | getSearchMethod () |
Get a pointer to the search method used. More... | |
void | setClusterTolerance (double tolerance) |
Set the spatial cluster tolerance as a measure in the L2 Euclidean space. More... | |
double | getClusterTolerance () |
Get the spatial cluster tolerance as a measure in the L2 Euclidean space. More... | |
void | setMinClusterSize (int min_cluster_size) |
Set the minimum number of points that a cluster needs to contain in order to be considered valid. More... | |
int | getMinClusterSize () |
Get the minimum number of points that a cluster needs to contain in order to be considered valid. More... | |
void | setMaxClusterSize (int max_cluster_size) |
Set the maximum number of points that a cluster needs to contain in order to be considered valid. More... | |
int | getMaxClusterSize () |
Get the maximum number of points that a cluster needs to contain in order to be considered valid. More... | |
void | setInput (CloudDevice input) |
void | setHostCloud (PointCloudHostPtr host_cloud) |
void | extract (std::vector< PointIndices > &clusters) |
Cluster extraction in a PointCloud given by <setInputCloud (), setIndices ()> More... | |
Protected Member Functions | |
virtual std::string | getClassName () const |
Class getName method. More... | |
Protected Attributes | |
CloudDevice | input_ |
the input cloud on the GPU More... | |
PointCloudHostPtr | host_cloud_ |
the original cloud the Host More... | |
GPUTreePtr | tree_ |
A pointer to the spatial search object. More... | |
double | cluster_tolerance_ |
The spatial cluster tolerance as a measure in the L2 Euclidean space. More... | |
int | min_pts_per_cluster_ |
The minimum number of points that a cluster needs to contain in order to be considered valid (default = 1). More... | |
int | max_pts_per_cluster_ |
The maximum number of points that a cluster needs to contain in order to be considered valid (default = MAXINT). More... | |
EuclideanLabeledClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense, depending on pcl::gpu::octree
Definition at line 67 of file gpu_extract_labeled_clusters.h.
typedef pcl::gpu::Octree::PointCloud pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::CloudDevice |
Definition at line 81 of file gpu_extract_labeled_clusters.h.
typedef pcl::gpu::Octree pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::GPUTree |
Definition at line 78 of file gpu_extract_labeled_clusters.h.
typedef pcl::gpu::Octree::Ptr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::GPUTreePtr |
Definition at line 79 of file gpu_extract_labeled_clusters.h.
typedef pcl::PointCloud<PointT> pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointCloudHost |
Definition at line 71 of file gpu_extract_labeled_clusters.h.
typedef PointCloudHost::ConstPtr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointCloudHostConstPtr |
Definition at line 73 of file gpu_extract_labeled_clusters.h.
typedef PointCloudHost::Ptr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointCloudHostPtr |
Definition at line 72 of file gpu_extract_labeled_clusters.h.
typedef PointIndices::ConstPtr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointIndicesConstPtr |
Definition at line 76 of file gpu_extract_labeled_clusters.h.
typedef PointIndices::Ptr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointIndicesPtr |
Definition at line 75 of file gpu_extract_labeled_clusters.h.
typedef pcl::PointXYZ pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointType |
Definition at line 70 of file gpu_extract_labeled_clusters.h.
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Empty constructor.
Definition at line 85 of file gpu_extract_labeled_clusters.h.
void pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::extract | ( | std::vector< PointIndices > & | clusters | ) |
Cluster extraction in a PointCloud given by <setInputCloud (), setIndices ()>
clusters | the resultant point clusters |
Definition at line 150 of file gpu_extract_labeled_clusters.hpp.
References pcl::gpu::compareLabeledPointClusters(), and pcl::extractLabeledEuclideanClusters().
Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setHostCloud().
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inlineprotectedvirtual |
Class getName method.
Definition at line 151 of file gpu_extract_labeled_clusters.h.
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Get the spatial cluster tolerance as a measure in the L2 Euclidean space.
Definition at line 104 of file gpu_extract_labeled_clusters.h.
References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::cluster_tolerance_.
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Get the maximum number of points that a cluster needs to contain in order to be considered valid.
Definition at line 120 of file gpu_extract_labeled_clusters.h.
References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::max_pts_per_cluster_.
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inline |
Get the minimum number of points that a cluster needs to contain in order to be considered valid.
Definition at line 112 of file gpu_extract_labeled_clusters.h.
References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::min_pts_per_cluster_.
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Get a pointer to the search method used.
Definition at line 96 of file gpu_extract_labeled_clusters.h.
References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::tree_.
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Set the spatial cluster tolerance as a measure in the L2 Euclidean space.
tolerance | the spatial cluster tolerance as a measure in the L2 Euclidean space |
Definition at line 101 of file gpu_extract_labeled_clusters.h.
References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::cluster_tolerance_.
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inline |
Definition at line 124 of file gpu_extract_labeled_clusters.h.
References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::extract(), and pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::host_cloud_.
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Definition at line 122 of file gpu_extract_labeled_clusters.h.
References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::input_.
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Set the maximum number of points that a cluster needs to contain in order to be considered valid.
max_cluster_size | the maximum cluster size |
Definition at line 117 of file gpu_extract_labeled_clusters.h.
References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::max_pts_per_cluster_.
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Set the minimum number of points that a cluster needs to contain in order to be considered valid.
min_cluster_size | the minimum cluster size |
Definition at line 109 of file gpu_extract_labeled_clusters.h.
References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::min_pts_per_cluster_.
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inline |
Provide a pointer to the search object.
tree | a pointer to the spatial search object. |
Definition at line 91 of file gpu_extract_labeled_clusters.h.
References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::tree_.
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The spatial cluster tolerance as a measure in the L2 Euclidean space.
Definition at line 142 of file gpu_extract_labeled_clusters.h.
Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getClusterTolerance(), and pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setClusterTolerance().
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the original cloud the Host
Definition at line 136 of file gpu_extract_labeled_clusters.h.
Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setHostCloud().
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the input cloud on the GPU
Definition at line 133 of file gpu_extract_labeled_clusters.h.
Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setInput().
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The maximum number of points that a cluster needs to contain in order to be considered valid (default = MAXINT).
Definition at line 148 of file gpu_extract_labeled_clusters.h.
Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getMaxClusterSize(), and pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setMaxClusterSize().
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The minimum number of points that a cluster needs to contain in order to be considered valid (default = 1).
Definition at line 145 of file gpu_extract_labeled_clusters.h.
Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getMinClusterSize(), and pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setMinClusterSize().
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A pointer to the spatial search object.
Definition at line 139 of file gpu_extract_labeled_clusters.h.
Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getSearchMethod(), and pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setSearchMethod().