C# 클래스 OpenCvSharp.CascadeClassifier

Cascade classifier class for object detection.

상속: OpenCvSharp.DisposableCvObject

공개 메소드들

메소드	설명
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.

메소드	설명
Dispose ( bool disposing ) : void	Clean up any resources being used.

Default constructor

public CascadeClassifier ( ) : System
리턴	System

Loads a classifier from a file.

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

Checks whether the classifier has been loaded.

public Empty ( ) : bool
리턴	bool

public GetFeatureType ( ) : int
리턴	int

public GetOriginalWindowSize ( ) : Size
리턴	Size

public IsOldFormatCascade ( ) : bool
리턴	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.
리턴	bool