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* Author: Anatoly Baskeheev, Itseez Ltd, (myname.mysurname@mycompany.com)
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#ifndef PCL_GPU_OCTREE_INTERNAL_HPP_
#define PCL_GPU_OCTREE_INTERNAL_HPP_
#include <pcl/gpu/containers/device_array.h>
#include <pcl/gpu/octree/device_format.hpp>
#include <pcl/gpu/utils/safe_call.hpp>
namespace pcl
{
namespace device
{
struct OctreeGlobal
{
int *nodes;
int *codes;
int *begs;
int *ends;
int *nodes_num;
int *parent;
OctreeGlobal() : nodes(0), codes(0), begs(0), ends(0), nodes_num(0), parent(0) {}
};
struct OctreeGlobalWithBox : public OctreeGlobal
{
float3 minp, maxp;
};
class OctreeImpl
{
public:
typedef float4 PointType;
typedef DeviceArray<PointType> PointArray;
typedef PointArray PointCloud;
typedef PointArray Queries;
typedef DeviceArray<float> Radiuses;
typedef DeviceArray<int> BatchResult;
typedef DeviceArray<int> BatchResultSizes;
typedef DeviceArray<float> BatchResultSqrDists;
typedef DeviceArray<int> Indices;
typedef pcl::gpu::NeighborIndices NeighborIndices;
static void get_gpu_arch_compiled_for(int& bin, int& ptr);
OctreeImpl() {};
~OctreeImpl() {};
void setCloud(const PointCloud& input_points);
void build();
void radiusSearchHost(const PointType& center, float radius, std::vector<int>& out, int max_nn) const;
void approxNearestSearchHost(const PointType& query, int& out_index, float& sqr_dist) const;
void radiusSearch(const Queries& queries, float radius, NeighborIndices& results);
void radiusSearch(const Queries& queries, const Radiuses& radiuses, NeighborIndices& results);
void radiusSearch(const Queries& queries, const Indices& indices, float radius, NeighborIndices& results);
void approxNearestSearch(const Queries& queries, NeighborIndices& results) const;
void nearestKSearchBatch(const Queries& queries, int k, NeighborIndices& results) const;
//just reference
PointCloud points;
// data
DeviceArray2D<float> points_sorted;
DeviceArray<int> codes;
DeviceArray<int> indices;
OctreeGlobalWithBox octreeGlobal;
//storage
DeviceArray2D<int> storage;
struct OctreeDataHost
{
std::vector<int> nodes;
std::vector<int> codes;
std::vector<int> begs;
std::vector<int> ends;
std::vector<int> indices;
std::vector<float> points_sorted;
int points_sorted_step;
int downloaded;
} host_octree;
void internalDownload();
private:
template<typename BatchType>
void radiusSearchEx(BatchType& batch, const Queries& queries, NeighborIndices& results);
};
void bruteForceRadiusSearch(const OctreeImpl::PointCloud& cloud, const OctreeImpl::PointType& query, float radius, DeviceArray<int>& result, DeviceArray<int>& buffer);
}
}
#endif /* PCL_GPU_OCTREE_INTERNAL_HPP_ */