ClassifierFactory Class Reference

Classifier factory holds methods for generating ShapeFinder classifier factory. More...

Inherits object.

Public Member Functions
List[int]	gradient_histogram (self, cvb.ImagePlane plane, cvb.Rect aoi, int gradient_type)
	Calculate the gradient histogram. More...
cvb.shapefinder2.Classifier	learn (self, cvb.ImagePlane plane, cvb.Point2D position, cvb.Rect teach_window, Optional[cvb.Angle] angle_offset, Optional[float] scale_factor, Optional[List[cvb.Point2D]] dont_care_points)
	Creates a ShapeFinder2 classifier from plane 0 of the input image. More...

Properties
	contrast_mode = property
	int: Gets or sets the contrast mode to be used for feature extraction (see cvb.shapefinder2.ContrastMode).
	contrast_threshold = property
	int: Gets or sets the minimum contrast a feature must have to enter into the classifier.
	feature_count = property
	int: Gets or sets the minimum number of features the result classifier should have.
	max_coarse_layer_scale = property
	int: Gets or sets the maximum exponent of the scale factor between the coarse layer and the image.
	profile_delta = property
	int: Gets or sets the distance (in pixels) between adjacent profile points.
	profile_size = property
	int: Gets or sets the profile size which gives the number of profile points to be used for correlation around each feature.
	rotation_range = property
	cvb.AngleRange: Gets or sets the range of rotations, that the classifier should be able to cover.
	rotation_range_max = property
	cvb.Angle: The maximum range of rotations (in degrees), that may be set on the learner.
	scale_range = property
	cvb.NumberRange: Gets or sets the range of scales, that the classifier should be able to cover.
	scale_range_max = property
	cvb.NumberRange: The maximum range of scales, that may be set on the learner.

Detailed Description

Classifier factory holds methods for generating ShapeFinder classifier factory.

Instantiates a ClassifierFactory object.

Member Function Documentation

gradient_histogram()

List[int] gradient_histogram	(		self,
		cvb.ImagePlane	plane,
		cvb.Rect	aoi,
		int	gradient_type
	)

Calculate the gradient histogram.

Parameters

plane : cvb.ImagePlane The image plane in which to calculate the histogram.

aoi : cvb.Rect The area of interest in which to calculate the histogram.

gradient_type : int The gradient operator to calculate the histogram (see cvb.shapefinder2.GradientType).

Returns

List[int] The calculated histogram.

learn()

cvb.shapefinder2.Classifier learn	(		self,
		cvb.ImagePlane	plane,
		cvb.Point2D	position,
		cvb.Rect	teach_window,
		Optional[cvb.Angle]	angle_offset,
		Optional[float]	scale_factor,
		Optional[List[cvb.Point2D]]	dont_care_points
	)

Creates a ShapeFinder2 classifier from plane 0 of the input image.

Parameters

plane : cvb.ImagePlane The plane in the input image from which to create the classifier.

position : cvb.Point2D The position in the input image at which to extract the classifier.

teach_window : cvb.Rect The teach window for the classifier learning process relative to position.

angle_offset : Optional[cvb.Angle] The initial rotation of the object (default 0.0 degrees).

scale_factor : Optional[float] The initial scale factor of the object (default 0.0).

dont_care_points : Optional[List[cvb.Point2D]] The list of points relative to position from which no features for the classifier should be extracted.

Returns

cvb.shapefinder2.Classifier The newly created classifier.