Package pyopencv :: Module ml_ext :: Class CvKNearest

Class CvKNearest

 object --+        
          |        
??.instance --+    
              |    
    CvStatModel --+
                  |
                 CvKNearest

Instance Methods

[hide private]

__init__(...)
__init__( (object)arg1) -> None :

clear(...)
clear( (CvKNearest)arg1) -> None :

find_nearest(...)
find_nearest( (CvKNearest)arg1, (Mat)_samples, (object)k, (Mat)results [, (bool)return_neighbors_by_addr=False [, (Mat)neighbor_response=Mat() [, (Mat)dist=Mat()]]]) -> object :

get_max_k(...)
get_max_k( (CvKNearest)arg1) -> int :

get_sample_count(...)
get_sample_count( (CvKNearest)arg1) -> int :

get_var_count(...)
get_var_count( (CvKNearest)arg1) -> int :

is_regression(...)
is_regression( (CvKNearest)arg1) -> bool :

load(...)
load( (CvKNearest)arg1, (str)filename [, (str)name=None]) -> None :

read(...)
read( (CvStatModel)inst, (FileStorage)storage, (FileNode)node) -> None :

save(...)
save( (CvKNearest)arg1, (str)filename [, (str)name=None]) -> None :

train(...)
train( (CvKNearest)inst, (Mat)_train_data, (Mat)_responses [, (Mat)_sample_idx=Mat() [, (bool)is_regression=False [, (object)_max_k=32 [, (bool)_update_base=False]]]]) -> object :

write(...)
write( (CvStatModel)inst, (FileStorage)storage, (str)name) -> None :

Inherited from CvStatModel: __reduce__

Inherited from unreachable.instance: __new__

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Class Variables

[hide private]

__instance_size__ = 40

Properties

[hide private]

this

Inherited from object: __class__

Method Details

[hide private]

init(...)
(Constructor)


__init__( (object)arg1) -> None :

    C++ signature :
        void __init__(_object*)

__init__( (object)arg1, (CvMat)_train_data, (CvMat)_responses [, (CvMat)_sample_idx=None [, (bool)_is_regression=False [, (object)max_k=32]]]) -> None :
    
    Wrapped function:
        CvKNearest
    Argument '_train_data':
        C++ type: ::CvMat const *
        Python type: Mat
    Argument '_responses':
        C++ type: ::CvMat const *
        Python type: Mat
    Argument '_sample_idx':
        C++ type: ::CvMat const *
        Python type: Mat

    C++ signature :
        void __init__(_object*,CvMat const*,CvMat const* [,CvMat const*=None [,bool=False [,int=32]]])

__init__( (object)arg1, (Mat)_train_data, (Mat)_responses [, (Mat)_sample_idx=Mat() [, (bool)_is_regression=False [, (object)max_k=32]]]) -> None :

    C++ signature :
        void __init__(_object*,cv::Mat,cv::Mat [,cv::Mat=Mat() [,bool=False [,int=32]]])

Overrides: object.__init__

clear(...)


clear( (CvKNearest)arg1) -> None :

    C++ signature :
        void clear(CvKNearest {lvalue})

clear( (CvKNearest)arg1) -> None :

    C++ signature :
        void clear(CvKNearest_wrapper {lvalue})

Overrides: CvStatModel.clear

find_nearest(...)


find_nearest( (CvKNearest)arg1, (Mat)_samples, (object)k, (Mat)results [, (bool)return_neighbors_by_addr=False [, (Mat)neighbor_response=Mat() [, (Mat)dist=Mat()]]]) -> object :

    C++ signature :
        boost::python::api::object find_nearest(CvKNearest_wrapper {lvalue},cv::Mat,int,cv::Mat {lvalue} [,bool=False [,cv::Mat {lvalue}=Mat() [,cv::Mat {lvalue}=Mat()]]])

get_max_k(...)


get_max_k( (CvKNearest)arg1) -> int :

    C++ signature :
        int get_max_k(CvKNearest {lvalue})

get_sample_count(...)


get_sample_count( (CvKNearest)arg1) -> int :

    C++ signature :
        int get_sample_count(CvKNearest {lvalue})

get_var_count(...)


get_var_count( (CvKNearest)arg1) -> int :

    C++ signature :
        int get_var_count(CvKNearest {lvalue})

is_regression(...)


is_regression( (CvKNearest)arg1) -> bool :

    C++ signature :
        bool is_regression(CvKNearest {lvalue})

load(...)


load( (CvKNearest)arg1, (str)filename [, (str)name=None]) -> None :

    C++ signature :
        void load(CvKNearest {lvalue},char const* [,char const*=None])

load( (CvKNearest)arg1, (str)filename [, (str)name=None]) -> None :

    C++ signature :
        void load(CvKNearest_wrapper {lvalue},char const* [,char const*=None])

Overrides: CvStatModel.load

read(...)


read( (CvStatModel)inst, (FileStorage)storage, (FileNode)node) -> None :
    
    Argument 'storage':
        C++ type: ::CvFileStorage *
        Python type: FileStorage
    Argument 'node':
        C++ type: ::CvFileNode *
        Python type: FileNode

    C++ signature :
        void read(CvStatModel {lvalue},cv::FileStorage {lvalue},cv::FileNode {lvalue})

Overrides: CvStatModel.read

save(...)


save( (CvKNearest)arg1, (str)filename [, (str)name=None]) -> None :

    C++ signature :
        void save(CvKNearest {lvalue},char const* [,char const*=None])

save( (CvKNearest)arg1, (str)filename [, (str)name=None]) -> None :

    C++ signature :
        void save(CvKNearest_wrapper {lvalue},char const* [,char const*=None])

Overrides: CvStatModel.save

train(...)


train( (CvKNearest)inst, (Mat)_train_data, (Mat)_responses [, (Mat)_sample_idx=Mat() [, (bool)is_regression=False [, (object)_max_k=32 [, (bool)_update_base=False]]]]) -> object :
    
    Argument '_train_data':
        C++ type: ::CvMat const *
        Python type: Mat
    Argument '_responses':
        C++ type: ::CvMat const *
        Python type: Mat
    Argument '_sample_idx':
        C++ type: ::CvMat const *
        Python type: Mat

    C++ signature :
        boost::python::api::object train(CvKNearest {lvalue},cv::Mat {lvalue},cv::Mat {lvalue} [,cv::Mat=Mat() [,bool=False [,int=32 [,bool=False]]]])

train( (CvKNearest)arg1, (Mat)_train_data, (Mat)_responses [, (Mat)_sample_idx=Mat() [, (bool)is_regression=False [, (object)_max_k=32 [, (bool)_update_base=False]]]]) -> bool :

    C++ signature :
        bool train(CvKNearest {lvalue},cv::Mat,cv::Mat [,cv::Mat=Mat() [,bool=False [,int=32 [,bool=False]]]])

train( (CvKNearest)arg1, (Mat)_train_data, (Mat)_responses [, (Mat)_sample_idx=Mat() [, (bool)is_regression=False [, (object)_max_k=32 [, (bool)_update_base=False]]]]) -> bool :

    C++ signature :
        bool train(CvKNearest_wrapper {lvalue},cv::Mat,cv::Mat [,cv::Mat=Mat() [,bool=False [,int=32 [,bool=False]]]])

write(...)


write( (CvStatModel)inst, (FileStorage)storage, (str)name) -> None :
    
    Argument 'storage':
        C++ type: ::CvFileStorage *
        Python type: FileStorage

    C++ signature :
        void write(CvStatModel,cv::FileStorage {lvalue},char const*)

Overrides: CvStatModel.write

Property Details

[hide private]

this

Get Method:: unreachable(...)

Class CvKNearest

__init__(...) (Constructor)

clear(...)

find_nearest(...)

get_max_k(...)

get_sample_count(...)

get_var_count(...)

is_regression(...)

load(...)

read(...)

save(...)

train(...)

write(...)

this

init(...)
(Constructor)