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object --+ | ??.instance --+ | HOGDescriptor
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Inherited from Inherited from |
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Mat : |
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L2Hys = 0
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__instance_size__ = 104
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L2HysThreshold | |||
blockSize | |||
blockStride | |||
cellSize | |||
derivAperture | |||
gammaCorrection | |||
histogramNormType | |||
nbins | |||
svmDetector | |||
this | |||
winSigma | |||
winSize | |||
Inherited from |
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__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)
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helper for pickle
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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) [, (Mat)locations=Mat()]]]) -> object : Argument 'descriptors': C/C++ type: ::std::vector< float > &. Python type: Mat. Invoke asMat() to convert a 1D Python sequence into a Mat, e.g. asMat([0,1,2]) or asMat((0,1,2)). Output argument: omitted from the function's calling sequence, and is returned along with the function's return value (if any). Argument 'locations': C/C++ type: ::std::vector< cv::Point_<int> > const &. Python type: Mat. Invoke asMat() to convert a 1D Python sequence into a Mat, e.g. asMat([0,1,2]) or asMat((0,1,2)). 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) [,cv::Mat=Mat()]]]) |
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) [, (Mat)searchLocations=Mat()]]]]) -> object : Argument 'foundLocations': C/C++ type: ::std::vector< cv::Point_<int> > &. Python type: Mat. Invoke asMat() to convert a 1D Python sequence into a Mat, e.g. asMat([0,1,2]) or asMat((0,1,2)). Output argument: omitted from the function's calling sequence, and is returned along with the function's return value (if any). Argument 'searchLocations': C/C++ type: ::std::vector< cv::Point_<int> > const &. Python type: Mat. Invoke asMat() to convert a 1D Python sequence into a Mat, e.g. asMat([0,1,2]) or asMat((0,1,2)). 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) [,cv::Mat=Mat()]]]]) |
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/C++ type: ::std::vector< cv::Rect_<int> > &. Python type: Mat. Invoke asMat() to convert a 1D Python sequence into a Mat, e.g. asMat([0,1,2]) or asMat((0,1,2)). Output argument: omitted from the function's calling sequence, and is returned along with the function's return value (if any). 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 : cv::Mat getDefaultPeopleDetector()
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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)inst, (Mat)_svmdetector) -> None : Argument '_svmdetector': C/C++ type: ::std::vector< float > const &. Python type: Mat. Invoke asMat() to convert a 1D Python sequence into a Mat, e.g. asMat([0,1,2]) or asMat((0,1,2)). C++ signature : void setSVMDetector(cv::HOGDescriptor {lvalue},cv::Mat) |
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L2HysThreshold
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blockSize
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blockStride
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cellSize
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derivAperture
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gammaCorrection
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histogramNormType
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nbins
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svmDetector
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this
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winSigma
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winSize
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