cv::cuda::CascadeClassifier Class Reference

Cascade classifier class used for object detection. Supports HAAR and LBP cascades. : More...

#include <opencv2/cudaobjdetect.hpp>

Inheritance diagram for cv::cuda::CascadeClassifier:

Public Member Functions
virtual void	convert (OutputArray gpu_objects, std::vector< Rect > &objects)=0
	Converts objects array from internal representation to standard vector. More...
virtual void	detectMultiScale (InputArray image, OutputArray objects, Stream &stream=Stream::Null())=0
	Detects objects of different sizes in the input image. More...
virtual Size	getClassifierSize () const =0
virtual bool	getFindLargestObject ()=0
virtual int	getMaxNumObjects () const =0
virtual Size	getMaxObjectSize () const =0
virtual int	getMinNeighbors () const =0
virtual Size	getMinObjectSize () const =0
virtual double	getScaleFactor () const =0
virtual void	setFindLargestObject (bool findLargestObject)=0
virtual void	setMaxNumObjects (int maxNumObjects)=0
virtual void	setMaxObjectSize (Size maxObjectSize)=0
virtual void	setMinNeighbors (int minNeighbors)=0
virtual void	setMinObjectSize (Size minSize)=0
	Minimum possible object size. Objects smaller than that are ignored. More...
virtual void	setScaleFactor (double scaleFactor)=0
	Parameter specifying how much the image size is reduced at each image scale. More...
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state. More...
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

Static Public Member Functions
static Ptr< cuda::CascadeClassifier >	create (const String &filename)
	Loads the classifier from a file. Cascade type is detected automatically by constructor parameter. More...
static Ptr< cuda::CascadeClassifier >	create (const FileStorage &file)
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file. More...
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String. More...
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Cascade classifier class used for object detection. Supports HAAR and LBP cascades. :

Note

• A cascade classifier example can be found at opencv_source_code/samples/gpu/cascadeclassifier.cpp
  • A Nvidea API specific cascade classifier example can be found at opencv_source_code/samples/gpu/cascadeclassifier_nvidia_api.cpp

Member Function Documentation

convert()

virtual void cv::cuda::CascadeClassifier::convert ( OutputArray  gpu_objects, std::vector< Rect > &  objects  )

pure virtual

Converts objects array from internal representation to standard vector.

Parameters

gpu_objects	Objects array in internal representation.
objects	Resulting array.

create() [1/2]

static Ptr<cuda::CascadeClassifier> cv::cuda::CascadeClassifier::create ( const String &  filename )

static

Loads the classifier from a file. Cascade type is detected automatically by constructor parameter.

Parameters

filename

Name of the file from which the classifier is loaded. Only the old haar classifier (trained by the haar training application) and NVIDIA's nvbin are supported for HAAR and only new type of OpenCV XML cascade supported for LBP. The working haar models can be found at opencv_folder/data/haarcascades_cuda/

create() [2/2]

static Ptr<cuda::CascadeClassifier> cv::cuda::CascadeClassifier::create ( const FileStorage &  file )

static

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

detectMultiScale()

virtual void cv::cuda::CascadeClassifier::detectMultiScale ( InputArray  image, OutputArray  objects, Stream &  stream = Stream::Null()  )

pure virtual

Detects objects of different sizes in the input image.

Parameters

image	Matrix of type CV_8U containing an image where objects should be detected.
objects	Buffer to store detected objects (rectangles).
stream	CUDA stream.

To get final array of detected objects use CascadeClassifier::convert method.

Ptr<cuda::CascadeClassifier> cascade_gpu = cuda::CascadeClassifier::create(...);

Mat image_cpu = imread(...)
GpuMat image_gpu(image_cpu);

GpuMat objbuf;
cascade_gpu->detectMultiScale(image_gpu, objbuf);

std::vector<Rect> faces;
cascade_gpu->convert(objbuf, faces);

for(int i = 0; i < detections_num; ++i)
   cv::rectangle(image_cpu, faces[i], Scalar(255));

imshow("Faces", image_cpu);

See also

CascadeClassifier::detectMultiScale

getClassifierSize()

virtual Size cv::cuda::CascadeClassifier::getClassifierSize ( ) const

pure virtual

getFindLargestObject()

virtual bool cv::cuda::CascadeClassifier::getFindLargestObject ( )

pure virtual

getMaxNumObjects()

virtual int cv::cuda::CascadeClassifier::getMaxNumObjects ( ) const

pure virtual

getMaxObjectSize()

virtual Size cv::cuda::CascadeClassifier::getMaxObjectSize ( ) const

pure virtual

getMinNeighbors()

virtual int cv::cuda::CascadeClassifier::getMinNeighbors ( ) const

pure virtual

getMinObjectSize()

virtual Size cv::cuda::CascadeClassifier::getMinObjectSize ( ) const

pure virtual

getScaleFactor()

virtual double cv::cuda::CascadeClassifier::getScaleFactor ( ) const

pure virtual

setFindLargestObject()

virtual void cv::cuda::CascadeClassifier::setFindLargestObject ( bool  findLargestObject )

pure virtual

setMaxNumObjects()

virtual void cv::cuda::CascadeClassifier::setMaxNumObjects ( int  maxNumObjects )

pure virtual

setMaxObjectSize()

virtual void cv::cuda::CascadeClassifier::setMaxObjectSize ( Size  maxObjectSize )

pure virtual

Maximum possible object size. Objects larger than that are ignored. Used for second signature and supported only for LBP cascades.

setMinNeighbors()

virtual void cv::cuda::CascadeClassifier::setMinNeighbors ( int  minNeighbors )

pure virtual

Parameter specifying how many neighbors each candidate rectangle should have to retain it.

setMinObjectSize()

virtual void cv::cuda::CascadeClassifier::setMinObjectSize ( Size  minSize )

pure virtual

Minimum possible object size. Objects smaller than that are ignored.

setScaleFactor()

virtual void cv::cuda::CascadeClassifier::setScaleFactor ( double  scaleFactor )

pure virtual

Parameter specifying how much the image size is reduced at each image scale.

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The documentation for this class was generated from the following file:

• opencv2/cudaobjdetect.hpp