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object --+
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??.instance --+
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LDetector
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Inherited from Inherited from |
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__instance_size__ = 48
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| baseFeatureSize | |||
| clusteringDistance | |||
| nOctaves | |||
| nViews | |||
| radius | |||
| this | |||
| threshold | |||
| verbose | |||
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Inherited from |
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__call__( (LDetector)inst, (Mat)image [, (object)maxCount=0 [, (bool)scaleCoords=True]]) -> object :
Wrapped function:
operator()
Argument 'keypoints':
C++ type: ::std::vector< cv::KeyPoint > &
Python type: vector_KeyPoint
Output argument: omitted from input and returned as output.
Returns:
keypoints
C++ signature :
boost::python::api::object __call__(cv::LDetector,cv::Mat [,int=0 [,bool=True]])
__call__( (LDetector)inst, (vector_Mat)pyr [, (object)maxCount=0 [, (bool)scaleCoords=True]]) -> object :
Wrapped function:
operator()
Argument 'keypoints':
C++ type: ::std::vector< cv::KeyPoint > &
Python type: vector_KeyPoint
Output argument: omitted from input and returned as output.
Returns:
keypoints
C++ signature :
boost::python::api::object __call__(cv::LDetector,std::vector<cv::Mat, std::allocator<cv::Mat> > [,int=0 [,bool=True]])
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__init__( (object)arg1) -> None :
C++ signature :
void __init__(_object*)
__init__( (object)arg1, (object)_radius, (object)_threshold, (object)_nOctaves, (object)_nViews, (object)_baseFeatureSize, (object)_clusteringDistance) -> None :
C++ signature :
void __init__(_object*,int,int,int,int,double,double)
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helper for pickle
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getMostStable2D( (LDetector)arg1, (Mat)image, (vector_KeyPoint)keypoints, (object)maxCount, (PatchGenerator)patchGenerator) -> None :
C++ signature :
void getMostStable2D(cv::LDetector {lvalue},cv::Mat,std::vector<cv::KeyPoint, std::allocator<cv::KeyPoint> > {lvalue},int,cv::PatchGenerator)
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read( (LDetector)arg1, (FileNode)node) -> None :
C++ signature :
void read(cv::LDetector {lvalue},cv::FileNode)
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setVerbose( (LDetector)arg1, (bool)verbose) -> None :
C++ signature :
void setVerbose(cv::LDetector {lvalue},bool)
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write( (LDetector)arg1, (FileStorage)fs [, (object)name='']) -> None :
C++ signature :
void write(cv::LDetector {lvalue},cv::FileStorage {lvalue} [,std::string=''])
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baseFeatureSize
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clusteringDistance
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nOctaves
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nViews
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radius
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this
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threshold
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verbose
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| Generated by Epydoc 3.0.1 on Sat Sep 25 18:31:05 2010 | http://epydoc.sourceforge.net |