ClassifierSearchAll Method (Image, Rect, Boolean, Double, Int32, Int32)

public SearchResult[] SearchAll(
	Image image,
	Rect aoi,
	bool useVote,
	double minConfidence,
	int locality,
	int granularity
)

Public Function SearchAll ( 
	image As Image,
	aoi As Rect,
	useVote As Boolean,
	minConfidence As Double,
	locality As Integer,
	granularity As Integer
) As SearchResult()

public:
array<SearchResult>^ SearchAll(
	Image^ image, 
	Rect aoi, 
	bool useVote, 
	double minConfidence, 
	int locality, 
	int granularity
)

member SearchAll : 
        image : Image * 
        aoi : Rect * 
        useVote : bool * 
        minConfidence : float * 
        locality : int * 
        granularity : int -> SearchResult[] 

Parameters

image

Type: Stemmer.CvbImage
image in which to search

aoi

Type: Stemmer.CvbRect
region of the image in which to search

useVote

Type: SystemBoolean
switch voting on or off (voting is a parameter that can allow for more precise class assignment when set to true, but setting voting to true will significantly increase the processing time)

minConfidence

Type: SystemDouble
minimum confidence for the results to be reported; must not exceed the range [0...1]

locality

Type: SystemInt32
separation of the search results in pixels (no two results should be closer to each other than the distance specified here)

granularity

Type: SystemInt32
the granularity parameter may be used to simulate a shorter or longer preprocessing code, making the grid of points to be calculated for classification denser or thinner; -1 indicates that the default value should be used; note that the granularity parameter can have a huge impact on processing time - it is generally not recommended to use parameters other than -1

Return Value

Reference