Class cv::BaseCascadeClassifier#

#include <opencv2/xobjdetect.hpp>

Collaboration diagram for cv::BaseCascadeClassifier:

Public Member Functions#

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

Additional Inherited Members#

Constructor & Destructor Documentation#

~BaseCascadeClassifier()#

cv::BaseCascadeClassifier::~BaseCascadeClassifier()

Member Function Documentation#

detectMultiScale()#

void cv::BaseCascadeClassifier::detectMultiScale(
InputArray image,
std::vector< Rect > & objects,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize )

detectMultiScale()#

void cv::BaseCascadeClassifier::detectMultiScale(
InputArray image,
std::vector< Rect > & objects,
std::vector< int > & numDetections,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize )

detectMultiScale()#

void cv::BaseCascadeClassifier::detectMultiScale(
InputArray image,
std::vector< Rect > & objects,
std::vector< int > & rejectLevels,
std::vector< double > & levelWeights,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize,
bool outputRejectLevels )