Class HOGDescriptor

__init__( (object)arg1) -> None :

    C++ signature :
        void __init__(_object*)

__init__( (object)arg1, (Size2i)_winSize, (Size2i)_blockSize, (Size2i)_blockStride, (Size2i)_cellSize, (object)_nbins [, (object)_derivAperture=1 [, (object)_winSigma=-1 [, (object)_histogramNormType=0 [, (object)_L2HysThreshold=0.20000000000000001 [, (bool)_gammaCorrection=False]]]]]) -> None :

    C++ signature :
        void __init__(_object*,cv::Size_<int>,cv::Size_<int>,cv::Size_<int>,cv::Size_<int>,int [,int=1 [,double=-1 [,int=0 [,double=0.20000000000000001 [,bool=False]]]]])

__init__( (object)arg1, (object)filename) -> None :

    C++ signature :
        void __init__(_object*,std::string)

Overrides: object.__init__

helper for pickle

Overrides: object.__reduce__

(inherited documentation)

checkDetectorSize( (HOGDescriptor)arg1) -> bool :

    C++ signature :
        bool checkDetectorSize(cv::HOGDescriptor {lvalue})

compute( (HOGDescriptor)inst, (Mat)img [, (Size2i)winStride=Size2i(width=0, height=0) [, (Size2i)padding=Size2i(width=0, height=0) [, (vector_Point2i)locations=vector_Point2i(len=0, [])]]]) -> object :
    
    Argument 'descriptors':
        C++ type: ::std::vector< float > &
        Python type: vector_float32
        Output argument: omitted from input and returned as output.
    Returns:
        descriptors

    C++ signature :
        boost::python::api::object compute(cv::HOGDescriptor,cv::Mat [,cv::Size_<int>=Size2i(width=0, height=0) [,cv::Size_<int>=Size2i(width=0, height=0) [,std::vector<cv::Point_<int>, std::allocator<cv::Point_<int> > >=vector_Point2i(len=0, [])]]])

computeGradient( (HOGDescriptor)arg1, (Mat)img, (Mat)grad, (Mat)angleOfs [, (Size2i)paddingTL=Size2i(width=0, height=0) [, (Size2i)paddingBR=Size2i(width=0, height=0)]]) -> None :

    C++ signature :
        void computeGradient(cv::HOGDescriptor {lvalue},cv::Mat,cv::Mat {lvalue},cv::Mat {lvalue} [,cv::Size_<int>=Size2i(width=0, height=0) [,cv::Size_<int>=Size2i(width=0, height=0)]])

computeGradient( (HOGDescriptor)arg1, (Mat)img, (Mat)grad, (Mat)angleOfs [, (Size2i)paddingTL=Size2i(width=0, height=0) [, (Size2i)paddingBR=Size2i(width=0, height=0)]]) -> None :

    C++ signature :
        void computeGradient(HOGDescriptor_wrapper {lvalue},cv::Mat,cv::Mat {lvalue},cv::Mat {lvalue} [,cv::Size_<int>=Size2i(width=0, height=0) [,cv::Size_<int>=Size2i(width=0, height=0)]])

detect( (HOGDescriptor)inst, (Mat)img [, (object)hitThreshold=0 [, (Size2i)winStride=Size2i(width=0, height=0) [, (Size2i)padding=Size2i(width=0, height=0) [, (vector_Point2i)searchLocations=vector_Point2i(len=0, [])]]]]) -> object :
    
    Argument 'foundLocations':
        C++ type: ::std::vector< cv::Point_<int> > &
        Python type: vector_Point2i
        Output argument: omitted from input and returned as output.
    Returns:
        foundLocations

    C++ signature :
        boost::python::api::object detect(cv::HOGDescriptor,cv::Mat [,double=0 [,cv::Size_<int>=Size2i(width=0, height=0) [,cv::Size_<int>=Size2i(width=0, height=0) [,std::vector<cv::Point_<int>, std::allocator<cv::Point_<int> > >=vector_Point2i(len=0, [])]]]])

detectMultiScale( (HOGDescriptor)inst, (Mat)img [, (object)hitThreshold=0 [, (Size2i)winStride=Size2i(width=0, height=0) [, (Size2i)padding=Size2i(width=0, height=0) [, (object)scale=1.05 [, (object)groupThreshold=2]]]]]) -> object :
    
    Argument 'foundLocations':
        C++ type: ::std::vector< cv::Rect_<int> > &
        Python type: vector_Rect
        Output argument: omitted from input and returned as output.
    Returns:
        foundLocations

    C++ signature :
        boost::python::api::object detectMultiScale(cv::HOGDescriptor,cv::Mat [,double=0 [,cv::Size_<int>=Size2i(width=0, height=0) [,cv::Size_<int>=Size2i(width=0, height=0) [,double=1.05 [,int=2]]]]])

    C++ signature :
        std::vector<float, std::allocator<float> > getDefaultPeopleDetector()

Returns: vector_float32 :

getDescriptorSize( (HOGDescriptor)arg1) -> int :

    C++ signature :
        unsigned int getDescriptorSize(cv::HOGDescriptor {lvalue})

getWinSigma( (HOGDescriptor)arg1) -> float :

    C++ signature :
        double getWinSigma(cv::HOGDescriptor {lvalue})

load( (HOGDescriptor)arg1, (object)filename [, (object)objname='']) -> bool :

    C++ signature :
        bool load(cv::HOGDescriptor {lvalue},std::string [,std::string=''])

load( (HOGDescriptor)arg1, (object)filename [, (object)objname='']) -> bool :

    C++ signature :
        bool load(HOGDescriptor_wrapper {lvalue},std::string [,std::string=''])

save( (HOGDescriptor)arg1, (object)filename [, (object)objname='']) -> None :

    C++ signature :
        void save(cv::HOGDescriptor {lvalue},std::string [,std::string=''])

save( (HOGDescriptor)arg1, (object)filename [, (object)objname='']) -> None :

    C++ signature :
        void save(HOGDescriptor_wrapper {lvalue},std::string [,std::string=''])

setSVMDetector( (HOGDescriptor)arg1, (vector_float32)_svmdetector) -> None :

    C++ signature :
        void setSVMDetector(cv::HOGDescriptor {lvalue},std::vector<float, std::allocator<float> >)

setSVMDetector( (HOGDescriptor)arg1, (vector_float32)_svmdetector) -> None :

    C++ signature :
        void setSVMDetector(HOGDescriptor_wrapper {lvalue},std::vector<float, std::allocator<float> >)

L2HysThreshold

Get Method:

unreachable(...)

Set Method:

unreachable(...)

blockSize

Get Method:

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blockStride

Get Method:

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cellSize

Get Method:

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derivAperture

Get Method:

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Set Method:

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gammaCorrection

Get Method:

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histogramNormType

Get Method:

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Set Method:

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nbins

Get Method:

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Set Method:

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svmDetector

Get Method:

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this

Get Method:

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winSigma

Get Method:

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Set Method:

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winSize

Get Method:

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Set Method:

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