PointStatistics.h File Reference

Functions to perform multi threaded reductions and analysis of arbitrary point attribute types. Each function imposes various requirements on the point ValueType (such as expected operators) and supports arbitrary point filters. More...

#include "PointDataGrid.h"
#include <openvdb/openvdb.h>
#include <openvdb/Types.h>
#include <openvdb/math/Math.h>
#include <openvdb/tree/LeafManager.h>
#include <openvdb/util/Assert.h>
#include <tbb/parallel_reduce.h>
#include <tbb/parallel_for.h>
#include "impl/PointStatisticsImpl.h"

Go to the source code of this file.

Namespaces
	openvdb
	openvdb::v12_0
	openvdb::v12_0::points

Functions
template<typename ValueT , typename CodecT = UnknownCodec, typename FilterT = NullFilter, typename PointDataTreeT >
std::pair< ValueT, ValueT >	evalMinMax (const PointDataTreeT &points, const std::string &attribute, const FilterT &filter=NullFilter())
	Evaluates the minimum and maximum values of a point attribute. More...
template<typename ValueT , typename CodecT = UnknownCodec, typename FilterT = NullFilter, typename PointDataTreeT >
ConvertElementType< ValueT, double >::Type	evalAverage (const PointDataTreeT &points, const std::string &attribute, const FilterT &filter=NullFilter())
	Evaluates the average value of a point attribute. More...
template<typename ValueT , typename CodecT = UnknownCodec, typename FilterT = NullFilter, typename PointDataTreeT >
PromoteType< ValueT >::Highest	accumulate (const PointDataTreeT &points, const std::string &attribute, const FilterT &filter=NullFilter())
	Evaluates the total value of a point attribute. More...
template<typename ValueT , typename CodecT = UnknownCodec, typename FilterT = NullFilter, typename PointDataTreeT >
bool	evalMinMax (const PointDataTreeT &points, const std::string &attribute, ValueT &min, ValueT &max, const FilterT &filter=NullFilter(), typename PointDataTreeT::template ValueConverter< ValueT >::Type *minTree=nullptr, typename PointDataTreeT::template ValueConverter< ValueT >::Type *maxTree=nullptr)
	Evaluates the minimum and maximum values of a point attribute and returns whether the values are valid. Optionally constructs localised min and max value trees. More...
template<typename ValueT , typename CodecT = UnknownCodec, typename FilterT = NullFilter, typename PointDataTreeT , typename ResultTreeT = typename ConvertElementType<ValueT, double>::Type>
bool	evalAverage (const PointDataTreeT &points, const std::string &attribute, typename ConvertElementType< ValueT, double >::Type &average, const FilterT &filter=NullFilter(), typename PointDataTreeT::template ValueConverter< ResultTreeT >::Type *averageTree=nullptr)
	Evaluates the average value of a point attribute and returns whether the value is valid. Optionally constructs localised average value trees. More...
template<typename ValueT , typename CodecT = UnknownCodec, typename FilterT = NullFilter, typename PointDataTreeT , typename ResultTreeT = typename PromoteType<ValueT>::Highest>
bool	accumulate (const PointDataTreeT &points, const std::string &attribute, typename PromoteType< ValueT >::Highest &total, const FilterT &filter=NullFilter(), typename PointDataTreeT::template ValueConverter< ResultTreeT >::Type *totalTree=nullptr)
	Evaluates the total value of a point attribute and returns whether the value is valid. Optionally constructs localised total value trees. More...

Detailed Description

Functions to perform multi threaded reductions and analysis of arbitrary point attribute types. Each function imposes various requirements on the point ValueType (such as expected operators) and supports arbitrary point filters.

Author

Nick Avramoussis