Class KDTree

__init__( (object)arg1) -> None :

    C++ signature :
        void __init__(_object*)

__init__( (object)arg1, (Mat)_points [, (bool)copyAndReorderPoints=False]) -> None :

    C++ signature :
        void __init__(_object*,cv::Mat [,bool=False])

Overrides: object.__init__

helper for pickle

Overrides: object.__reduce__

(inherited documentation)

build( (KDTree)arg1, (Mat)_points [, (bool)copyAndReorderPoints=False]) -> None :

    C++ signature :
        void build(cv::KDTree {lvalue},cv::Mat [,bool=False])

dims( (KDTree)arg1) -> int :

    C++ signature :
        int dims(cv::KDTree {lvalue})

findNearest( (KDTree)inst, (vector_float32)vec, (object)K, (object)Emax) -> tuple :
    
    Argument 'vec':
        C++ type: float const *
        Python type: vector_float32
    Argument 'neighborsIdx':
        C++ type: ::std::vector< int > *
        Python type: vector_int
        Output argument: omitted from input and returned as output.
    Argument 'neighbors':
        C++ type: ::cv::Mat *
        Python type: Mat
        Output argument: omitted from input and returned as output.
    Argument 'dist':
        C++ type: ::std::vector< float > *
        Python type: vector_float32
        Output argument: omitted from input and returned as output.
    Returns:
        ((int), neighborsIdx, neighbors, dist)

    C++ signature :
        boost::python::tuple findNearest(cv::KDTree,std::vector<float, std::allocator<float> >,int,int)

findOrthoRange( (KDTree)inst, (vector_float32)minBounds, (vector_float32)maxBounds) -> tuple :
    
    Argument 'minBounds':
        C++ type: float const *
        Python type: vector_float32
    Argument 'maxBounds':
        C++ type: float const *
        Python type: vector_float32
    Argument 'neighborsIdx':
        C++ type: ::std::vector< int > *
        Python type: vector_int
        Output argument: omitted from input and returned as output.
    Argument 'neighbors':
        C++ type: ::cv::Mat *
        Python type: Mat
        Output argument: omitted from input and returned as output.
    Returns:
        (neighborsIdx, neighbors)

    C++ signature :
        boost::python::tuple findOrthoRange(cv::KDTree,std::vector<float, std::allocator<float> >,std::vector<float, std::allocator<float> >)

getPoint( (object)arg1, (object)ptidx) -> object :

    C++ signature :
        sdcpp::ndarray getPoint(boost::python::api::object,int)

getPoints( (KDTree)inst, (vector_int)idx) -> object :
    
    Argument 'idx':
        C++ type: int const *
        Python type: vector_int
    Argument 'nidx':
        Dependent argument: omitted from input. Its value is derived from 
        argument 'idx'.
    Argument 'pts':
        C++ type: ::cv::Mat &
        Python type: Mat
        Output argument: omitted from input and returned as output.
    Returns:
        pts

    C++ signature :
        boost::python::api::object getPoints(cv::KDTree,std::vector<int, std::allocator<int> >)

getPoints( (KDTree)inst, (Mat)idxs) -> object :
    
    Argument 'pts':
        C++ type: ::cv::Mat &
        Python type: Mat
        Output argument: omitted from input and returned as output.
    Returns:
        pts

    C++ signature :
        boost::python::api::object getPoints(cv::KDTree,cv::Mat)

maxDepth

Get Method:

unreachable(...)

Set Method:

unreachable(...)

nodes

Get Method:

unreachable(...)

Set Method:

unreachable(...)

normType

Get Method:

unreachable(...)

Set Method:

unreachable(...)

points

Get Method:

unreachable(...)

Set Method:

unreachable(...)

this

Get Method:

unreachable(...)