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object --+
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??.instance --+
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PlanarObjectDetector
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__instance_size__ = 168
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Inherited from |
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__call__( (PlanarObjectDetector)inst, (Mat)image, (Mat)H, (Mat)corners) -> object :
Wrapped function:
operator()
Argument 'corners':
C/C++ type: ::std::vector< cv::Point_<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)).
C++ signature :
boost::python::api::object __call__(cv::PlanarObjectDetector,cv::Mat,cv::Mat {lvalue},cv::Mat {lvalue})
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__init__( (object)arg1) -> None :
C++ signature :
void __init__(_object*)
__init__( (object)arg1, (FileNode)node) -> None :
C++ signature :
void __init__(_object*,cv::FileNode)
__init__( (object)arg1, (list)pyr [, (object)_npoints=300 [, (object)_patchSize=31 [, (object)_nstructs=50 [, (object)_structSize=9 [, (object)_nviews=5000 [, (LDetector)detector=<pyopencv.pyopencvext.LDetector object at 0x020E9270> [, (PatchGenerator)patchGenerator=<pyopencv.pyopencvext.PatchGenerator object at 0x022C3140>]]]]]]]) -> object :
C++ signature :
void* __init__(boost::python::api::object,boost::python::list [,int=300 [,int=31 [,int=50 [,int=9 [,int=5000 [,cv::LDetector=<pyopencv.pyopencvext.LDetector object at 0x020E9270> [,cv::PatchGenerator=<pyopencv.pyopencvext.PatchGenerator object at 0x022C3140>]]]]]]])
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helper for pickle
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getModelPoints( (PlanarObjectDetector)arg1) -> object :
C++ signature :
std::vector<cv::KeyPoint, std::allocator<cv::KeyPoint> > getModelPoints(cv::PlanarObjectDetector {lvalue})
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read( (PlanarObjectDetector)arg1, (FileNode)node) -> None :
C++ signature :
void read(cv::PlanarObjectDetector {lvalue},cv::FileNode)
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setVerbose( (PlanarObjectDetector)arg1, (bool)verbose) -> None :
C++ signature :
void setVerbose(cv::PlanarObjectDetector {lvalue},bool)
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train_397cef68f28ef0598cf4d0402f508184( (PlanarObjectDetector)inst, (list)pyr, (list)keypoints [, (object)_patchSize=31 [, (object)_nstructs=50 [, (object)_structSize=9 [, (object)_nviews=5000 [, (LDetector)detector=<pyopencv.pyopencvext.LDetector object at 0x020E91B0> [, (PatchGenerator)patchGenerator=<pyopencv.pyopencvext.PatchGenerator object at 0x022C30B8>]]]]]]) -> None :
Wrapped function:
train
Argument 'pyr':
C/C++ type: ::std::vector< cv::Mat > const &.
Python type: list.
To convert a Mat into a list, invoke one of Mat's member functions
to_list_of_...().
Argument 'keypoints':
C/C++ type: ::std::vector< cv::KeyPoint > const &.
Python type: list.
To convert a Mat into a list, invoke one of Mat's member functions
to_list_of_...().
C++ signature :
void train_397cef68f28ef0598cf4d0402f508184(cv::PlanarObjectDetector {lvalue},boost::python::list,boost::python::list [,int=31 [,int=50 [,int=9 [,int=5000 [,cv::LDetector=<pyopencv.pyopencvext.LDetector object at 0x020E91B0> [,cv::PatchGenerator=<pyopencv.pyopencvext.PatchGenerator object at 0x022C30B8>]]]]]])
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train_54eace8da687689cec07018f6937568f( (PlanarObjectDetector)inst, (list)pyr [, (object)_npoints=300 [, (object)_patchSize=31 [, (object)_nstructs=50 [, (object)_structSize=9 [, (object)_nviews=5000 [, (LDetector)detector=<pyopencv.pyopencvext.LDetector object at 0x020E9750> [, (PatchGenerator)patchGenerator=<pyopencv.pyopencvext.PatchGenerator object at 0x022C3030>]]]]]]]) -> None :
Wrapped function:
train
Argument 'pyr':
C/C++ type: ::std::vector< cv::Mat > const &.
Python type: list.
To convert a Mat into a list, invoke one of Mat's member functions
to_list_of_...().
C++ signature :
void train_54eace8da687689cec07018f6937568f(cv::PlanarObjectDetector {lvalue},boost::python::list [,int=300 [,int=31 [,int=50 [,int=9 [,int=5000 [,cv::LDetector=<pyopencv.pyopencvext.LDetector object at 0x020E9750> [,cv::PatchGenerator=<pyopencv.pyopencvext.PatchGenerator object at 0x022C3030>]]]]]]])
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write( (PlanarObjectDetector)arg1, (FileStorage)fs [, (object)name='']) -> None :
C++ signature :
void write(cv::PlanarObjectDetector {lvalue},cv::FileStorage {lvalue} [,std::string=''])
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