[About]
Version=1.0
Author=Nic
Mail=support@hiasm.com

[Type]
Class=Element
Info=Detect HaarCascade object in the image.

[Property]
Constructor=Sets the Constructor of the instance. ARG(enum)|14|1|None,Constructor
+FileName=Sets the name of the file that contains the HaarCascade object. ARG(string)|2|
ScaleFactor=Sets the factor by which the search window is scaled between the subsequent scans. ARG(double)|7|1.1
MinNeighbors=Sets the minimum number (minus 1) of neighbor rectangles that makes up an object. ARG(int)|1|3
Flags=Sets the types for haar detection. ARG(HAAR_DETECTION_TYPE)|21|0|Default,CannyPruning,ScaleImage,FindBiggestObject,RoughSearch
MinSize=Set the minimum window size. ARG(Size)|20|(empty)|Size

[Methods]
*doConstructor=Create new instance of the object. ARG(string filename)|1|0
doDetect=Detects HaarCascade object in the current image, using predifined parameters. ARG(Image<TColor, TDepth> image)|1|0
*doDetect2=Detects HaarCascade object in the current image, using specified parameters. ARG(Image<TColor, TDepth> image, double scaleFactor, int minNeighbors, HAAR_DETECTION_TYPE flags, Size minSize)|1|0
onDetect=Occurs after detect HaarCascade object in the current image and return the result. ARG(Image)|2|0
HaarCascade=Returns the HaarCascade object. ARG(HaarCascade)|3|0
Image=Defines the image to detect the HaarCascade object. ARG(Image<TColor, TDepth>)|4|0
FileName=Defines the name of the file that contains the HaarCascade object. ARG(string)|4|2
*ScaleFactor=Defines the factor by which the search window is scaled between the subsequent scans. ARG(double)|4|7
*MinNeighbors=Defines the minimum number (minus 1) of neighbor rectangles that makes up an object. ARG(int)|4|1
*Flags=Defines the types for haar detection. ARG(HAAR_DETECTION_TYPE)|4|0
*MinSize=Defines the minimum window size. ARG(Size)|4|0