C# Класс OpenCvSharp.CascadeClassifier

Cascade classifier class for object detection.

Наследование: OpenCvSharp.DisposableCvObject

Открытые методы

Метод	Описание
CascadeClassifier ( ) : System	Default constructor
CascadeClassifier ( string fileName ) : System	Loads a classifier from a file.
DetectMultiScale ( OpenCvSharp.Mat image, double scaleFactor = 1.1, int minNeighbors = 3, HaarDetectionType flags, Size minSize = null, Size maxSize = null ) : Rect[]	Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.
DetectMultiScale ( OpenCvSharp.Mat image, int &rejectLevels, double &levelWeights, double scaleFactor = 1.1, int minNeighbors = 3, HaarDetectionType flags, Size minSize = null, Size maxSize = null, bool outputRejectLevels = false ) : Rect[]	Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.
Empty ( ) : bool	Checks whether the classifier has been loaded.
GetFeatureType ( ) : int
GetOriginalWindowSize ( ) : Size
IsOldFormatCascade ( ) : bool
Load ( string fileName ) : bool	Loads a classifier from a file.

Метод	Описание
Dispose ( bool disposing ) : void	Clean up any resources being used.

Default constructor

public CascadeClassifier ( ) : System
Результат	System

Loads a classifier from a file.

public CascadeClassifier ( string fileName ) : System
fileName	string	Name of the file from which the classifier is loaded.
Результат	System

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

public DetectMultiScale ( OpenCvSharp.Mat image, double scaleFactor = 1.1, int minNeighbors = 3, HaarDetectionType flags, Size minSize = null, Size maxSize = null ) : Rect[]
image	OpenCvSharp.Mat	Matrix of the type CV_8U containing an image where objects are detected.
scaleFactor	double	Parameter specifying how much the image size is reduced at each image scale.
minNeighbors	int	Parameter specifying how many neighbors each candidate rectangle should have to retain it.
flags	HaarDetectionType	Parameter with the same meaning for an old cascade as in the function cvHaarDetectObjects. /// It is not used for a new cascade.
minSize	Size	Minimum possible object size. Objects smaller than that are ignored.
maxSize	Size	Maximum possible object size. Objects larger than that are ignored.
Результат	Rect[]

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

public DetectMultiScale ( OpenCvSharp.Mat image, int &rejectLevels, double &levelWeights, double scaleFactor = 1.1, int minNeighbors = 3, HaarDetectionType flags, Size minSize = null, Size maxSize = null, bool outputRejectLevels = false ) : Rect[]
image	OpenCvSharp.Mat	Matrix of the type CV_8U containing an image where objects are detected.
rejectLevels	int
levelWeights	double
scaleFactor	double	Parameter specifying how much the image size is reduced at each image scale.
minNeighbors	int	Parameter specifying how many neighbors each candidate rectangle should have to retain it.
flags	HaarDetectionType	Parameter with the same meaning for an old cascade as in the function cvHaarDetectObjects. /// It is not used for a new cascade.
minSize	Size	Minimum possible object size. Objects smaller than that are ignored.
maxSize	Size	Maximum possible object size. Objects larger than that are ignored.
outputRejectLevels	bool
Результат	Rect[]

Clean up any resources being used.

protected Dispose ( bool disposing ) : void
disposing	bool	/// If disposing equals true, the method has been called directly or indirectly by a user's code. Managed and unmanaged resources can be disposed. /// If false, the method has been called by the runtime from inside the finalizer and you should not reference other objects. Only unmanaged resources can be disposed. ///
Результат	void

Checks whether the classifier has been loaded.

public Empty ( ) : bool
Результат	bool

public GetFeatureType ( ) : int
Результат	int

public GetOriginalWindowSize ( ) : Size
Результат	Size

public IsOldFormatCascade ( ) : bool
Результат	bool

Loads a classifier from a file.

public Load ( string fileName ) : bool
fileName	string	Name of the file from which the classifier is loaded. /// The file may contain an old HAAR classifier trained by the haartraining application /// or a new cascade classifier trained by the traincascade application.
Результат	bool