Package pyopencv :: Module pyopencvext :: Class CvRTrees
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Class CvRTrees

 object --+        
          |        
??.instance --+    
              |    
    CvStatModel --+
                  |
                 CvRTrees
Known Subclasses:

Instance Methods [hide private]
 
__init__(...)
__init__( (object)arg1) -> None :
 
clear(...)
clear( (CvRTrees)arg1) -> None :
 
get_train_error(...)
get_train_error( (CvRTrees)arg1) -> float :
 
get_tree(...)
get_tree( (CvRTrees)arg1, (object)i) -> CvForestTree :
 
get_tree_count(...)
get_tree_count( (CvRTrees)arg1) -> int :
 
load(...)
load( (CvRTrees)arg1, (str)filename [, (str)name=None]) -> None :
 
predict(...)
predict( (CvRTrees)arg1, (Mat)sample [, (Mat)missing=Mat()]) -> float :
 
predict_prob(...)
predict_prob( (CvRTrees)arg1, (Mat)sample [, (Mat)missing=Mat()]) -> float :
 
read(...)
read( (CvRTrees)inst, (FileStorage)fs, (FileNode)node) -> None :
 
save(...)
save( (CvRTrees)arg1, (str)filename [, (str)name=None]) -> None :
 
train(...)
train( (CvRTrees)arg1, (CvMLData)data [, (CvRTParams)params=<pyopencv.pyopencvext.CvRTParams object at 0x015D01F0>]) -> bool :
 
write(...)
write( (CvRTrees)inst, (FileStorage)fs, (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__ = 64
Properties [hide private]
  this

Inherited from object: __class__

Method Details [hide private]

__init__(...)
(Constructor)

 

__init__( (object)arg1) -> None :

    C++ signature :
        void __init__(_object*)

Overrides: object.__init__

clear(...)

 

clear( (CvRTrees)arg1) -> None :

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

clear( (CvRTrees)arg1) -> None :

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

Overrides: CvStatModel.clear

get_train_error(...)

 

get_train_error( (CvRTrees)arg1) -> float :

    C++ signature :
        float get_train_error(CvRTrees {lvalue})

get_train_error( (CvRTrees)arg1) -> float :

    C++ signature :
        float get_train_error(CvRTrees_wrapper {lvalue})

get_tree(...)

 

get_tree( (CvRTrees)arg1, (object)i) -> CvForestTree :

    C++ signature :
        CvForestTree* get_tree(CvRTrees {lvalue},int)

get_tree_count(...)

 

get_tree_count( (CvRTrees)arg1) -> int :

    C++ signature :
        int get_tree_count(CvRTrees {lvalue})

load(...)

 

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

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

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

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

Overrides: CvStatModel.load

predict(...)

 

predict( (CvRTrees)arg1, (Mat)sample [, (Mat)missing=Mat()]) -> float :

    C++ signature :
        float predict(CvRTrees {lvalue},cv::Mat [,cv::Mat=Mat()])

predict( (CvRTrees)arg1, (Mat)sample [, (Mat)missing=Mat()]) -> float :

    C++ signature :
        float predict(CvRTrees_wrapper {lvalue},cv::Mat [,cv::Mat=Mat()])

predict_prob(...)

 

predict_prob( (CvRTrees)arg1, (Mat)sample [, (Mat)missing=Mat()]) -> float :

    C++ signature :
        float predict_prob(CvRTrees {lvalue},cv::Mat [,cv::Mat=Mat()])

predict_prob( (CvRTrees)arg1, (Mat)sample [, (Mat)missing=Mat()]) -> float :

    C++ signature :
        float predict_prob(CvRTrees_wrapper {lvalue},cv::Mat [,cv::Mat=Mat()])

read(...)

 

read( (CvRTrees)inst, (FileStorage)fs, (FileNode)node) -> None :
    
    Argument 'node':
        C/C++ type: ::CvFileNode *.
        Python type: FileNode.
    Argument 'fs':
        C/C++ type: ::CvFileStorage *.
        Python type: FileStorage.

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

Overrides: CvStatModel.read

save(...)

 

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

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

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

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

Overrides: CvStatModel.save

train(...)

 

train( (CvRTrees)arg1, (CvMLData)data [, (CvRTParams)params=<pyopencv.pyopencvext.CvRTParams object at 0x015D01F0>]) -> bool :

    C++ signature :
        bool train(CvRTrees {lvalue},CvMLData* [,CvRTParams=<pyopencv.pyopencvext.CvRTParams object at 0x015D01F0>])

train( (CvRTrees)arg1, (CvMLData)data [, (CvRTParams)params=<pyopencv.pyopencvext.CvRTParams object at 0x015D01F0>]) -> bool :

    C++ signature :
        bool train(CvRTrees_wrapper {lvalue},CvMLData* [,CvRTParams=<pyopencv.pyopencvext.CvRTParams object at 0x015D01F0>])

train( (CvRTrees)arg1, (Mat)_train_data, (object)_tflag, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat() [, (Mat)_var_type=Mat() [, (Mat)_missing_mask=Mat() [, (CvRTParams)params=<pyopencv.pyopencvext.CvRTParams object at 0x01460F10>]]]]]) -> bool :

    C++ signature :
        bool train(CvRTrees {lvalue},cv::Mat,int,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,CvRTParams=<pyopencv.pyopencvext.CvRTParams object at 0x01460F10>]]]]])

train( (CvRTrees)arg1, (Mat)_train_data, (object)_tflag, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat() [, (Mat)_var_type=Mat() [, (Mat)_missing_mask=Mat() [, (CvRTParams)params=<pyopencv.pyopencvext.CvRTParams object at 0x01460F10>]]]]]) -> bool :

    C++ signature :
        bool train(CvRTrees_wrapper {lvalue},cv::Mat,int,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,CvRTParams=<pyopencv.pyopencvext.CvRTParams object at 0x01460F10>]]]]])

write(...)

 

write( (CvRTrees)inst, (FileStorage)fs, (str)name) -> None :
    
    Argument 'fs':
        C/C++ type: ::CvFileStorage *.
        Python type: FileStorage.

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

Overrides: CvStatModel.write

Property Details [hide private]

this

Get Method:
unreachable(...)