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object --+
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??.instance --+
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CvStatModel --+
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CvNormalBayesClassifier
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Inherited from Inherited from Inherited from |
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__instance_size__ = 64
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Inherited from |
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__init__( (object)arg1) -> None :
C++ signature :
void __init__(_object*)
__init__( (object)arg1, (Mat)_train_data, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat()]]) -> None :
C++ signature :
void __init__(_object*,cv::Mat,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat()]])
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clear( (CvNormalBayesClassifier)arg1) -> None :
C++ signature :
void clear(CvNormalBayesClassifier {lvalue})
clear( (CvNormalBayesClassifier)arg1) -> None :
C++ signature :
void clear(CvNormalBayesClassifier_wrapper {lvalue})
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load( (CvNormalBayesClassifier)arg1, (str)filename [, (str)name=None]) -> None :
C++ signature :
void load(CvNormalBayesClassifier {lvalue},char const* [,char const*=None])
load( (CvNormalBayesClassifier)arg1, (str)filename [, (str)name=None]) -> None :
C++ signature :
void load(CvNormalBayesClassifier_wrapper {lvalue},char const* [,char const*=None])
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predict( (CvNormalBayesClassifier)arg1, (Mat)_samples [, (Mat)results=None]) -> float :
C++ signature :
float predict(CvNormalBayesClassifier {lvalue},cv::Mat [,cv::Mat*=None])
predict( (CvNormalBayesClassifier)arg1, (Mat)_samples [, (Mat)results=None]) -> float :
C++ signature :
float predict(CvNormalBayesClassifier_wrapper {lvalue},cv::Mat [,cv::Mat*=None])
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read( (CvNormalBayesClassifier)inst, (FileStorage)storage, (FileNode)node) -> None :
Argument 'node':
C/C++ type: ::CvFileNode *.
Python type: FileNode.
Argument 'storage':
C/C++ type: ::CvFileStorage *.
Python type: FileStorage.
C++ signature :
void read(CvNormalBayesClassifier {lvalue},cv::FileStorage {lvalue},cv::FileNode {lvalue})
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save( (CvNormalBayesClassifier)arg1, (str)filename [, (str)name=None]) -> None :
C++ signature :
void save(CvNormalBayesClassifier {lvalue},char const* [,char const*=None])
save( (CvNormalBayesClassifier)arg1, (str)filename [, (str)name=None]) -> None :
C++ signature :
void save(CvNormalBayesClassifier_wrapper {lvalue},char const* [,char const*=None])
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train( (CvNormalBayesClassifier)arg1, (Mat)_train_data, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat() [, (bool)update=False]]]) -> bool :
C++ signature :
bool train(CvNormalBayesClassifier {lvalue},cv::Mat,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat() [,bool=False]]])
train( (CvNormalBayesClassifier)arg1, (Mat)_train_data, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat() [, (bool)update=False]]]) -> bool :
C++ signature :
bool train(CvNormalBayesClassifier_wrapper {lvalue},cv::Mat,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat() [,bool=False]]])
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write( (CvNormalBayesClassifier)inst, (FileStorage)storage, (str)name) -> None :
Argument 'storage':
C/C++ type: ::CvFileStorage *.
Python type: FileStorage.
C++ signature :
void write(CvNormalBayesClassifier,cv::FileStorage {lvalue},char const*)
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