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object --+ | ??.instance --+ | CvStatModel --+ | CvEM
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Inherited from Inherited from Inherited from |
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COV_MAT_DIAGONAL = 1
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COV_MAT_GENERIC = 2
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COV_MAT_SPHERICAL = 0
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START_AUTO_STEP = 0
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START_E_STEP = 1
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START_M_STEP = 2
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__instance_size__ = 104
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this | |||
Inherited from |
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__init__( (object)arg1) -> None : C++ signature : void __init__(_object*) __init__( (object)arg1, (Mat)samples [, (Mat)sample_idx=Mat() [, (CvEMParams)params=<pyopencv.pyopencvext.CvEMParams object at 0x01727168> [, (Mat)labels=None]]]) -> None : C++ signature : void __init__(_object*,cv::Mat [,cv::Mat=Mat() [,CvEMParams=<pyopencv.pyopencvext.CvEMParams object at 0x01727168> [,cv::Mat*=None]]])
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clear( (CvEM)arg1) -> None : C++ signature : void clear(CvEM {lvalue}) clear( (CvEM)arg1) -> None : C++ signature : void clear(CvEM_wrapper {lvalue})
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get_log_likelihood( (CvEM)arg1) -> float : C++ signature : double get_log_likelihood(CvEM {lvalue}) |
get_nclusters( (CvEM)arg1) -> int : C++ signature : int get_nclusters(CvEM {lvalue}) |
load( (CvEM)arg1, (str)filename [, (str)name=None]) -> None : C++ signature : void load(CvEM {lvalue},char const* [,char const*=None]) load( (CvEM)arg1, (str)filename [, (str)name=None]) -> None : C++ signature : void load(CvEM_wrapper {lvalue},char const* [,char const*=None])
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predict( (CvEM)arg1, (Mat)sample, (Mat)probs) -> float : C++ signature : float predict(CvEM {lvalue},cv::Mat,cv::Mat*) predict( (CvEM)arg1, (Mat)sample, (Mat)probs) -> float : C++ signature : float predict(CvEM_wrapper {lvalue},cv::Mat,cv::Mat*) |
read( (CvStatModel)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(CvStatModel {lvalue},cv::FileStorage {lvalue},cv::FileNode {lvalue})
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save( (CvEM)arg1, (str)filename [, (str)name=None]) -> None : C++ signature : void save(CvEM {lvalue},char const* [,char const*=None]) save( (CvEM)arg1, (str)filename [, (str)name=None]) -> None : C++ signature : void save(CvEM_wrapper {lvalue},char const* [,char const*=None])
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train( (CvEM)arg1, (Mat)samples [, (Mat)sample_idx=Mat() [, (CvEMParams)params=<pyopencv.pyopencvext.CvEMParams object at 0x017AAEC0> [, (Mat)labels=None]]]) -> bool : C++ signature : bool train(CvEM {lvalue},cv::Mat [,cv::Mat=Mat() [,CvEMParams=<pyopencv.pyopencvext.CvEMParams object at 0x017AAEC0> [,cv::Mat*=None]]]) train( (CvEM)arg1, (Mat)samples [, (Mat)sample_idx=Mat() [, (CvEMParams)params=<pyopencv.pyopencvext.CvEMParams object at 0x017AAEC0> [, (Mat)labels=None]]]) -> bool : C++ signature : bool train(CvEM_wrapper {lvalue},cv::Mat [,cv::Mat=Mat() [,CvEMParams=<pyopencv.pyopencvext.CvEMParams object at 0x017AAEC0> [,cv::Mat*=None]]]) |
write( (CvStatModel)inst, (FileStorage)storage, (str)name) -> None : Argument 'storage': C/C++ type: ::CvFileStorage *. Python type: FileStorage. C++ signature : void write(CvStatModel,cv::FileStorage {lvalue},char const*)
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