oevislib_net.Enums Namespace Reference

Enumerations
enum	AccumulationMode {   Average = 0 , Maximum = 1 , Minimum = 2 , Sum = 3 ,   Median = 4 , Middle = 5 }
	How the values in a profile will be combined. More...
enum	ActivationFunction { Identity = 0 , Sigmoid = 1 , Tanh = 2 , Gaussian = 3 }
	Function used to activate neurons in Multi-Layer Perceptrons. More...
enum	Anchor2D {   TopLeft = 0 , TopCenter = 1 , TopRight = 2 , MiddleLeft = 3 ,   MiddleCenter = 4 , MiddleRight = 5 , BottomLeft = 6 , BottomCenter = 7 ,   BottomRight = 8 }
	The relative position of an object. More...
enum	AngleMetric { VectorClockwise = 0 , VectorCounterClockwise = 1 , PolygonClockwise = 2 , PolygonCounterClockwise = 3 }
	Angle measurement methods. More...
enum	AngleRange { _0_90 = 0 , _0_180 = 1 , _0_360 = 2 }
	Range of angle calculation or normalization. More...
enum	Axis { X = 0 , Y = 1 }
	Name of the axis in the Cartesian space. More...
enum	BarcodeFormat {   EAN13 = 0 , EAN13Addon2 = 1 , EAN13Addon5 = 2 , EAN8 = 3 ,   EAN8Addon2 = 4 , EAN8Addon5 = 5 , UPCA = 6 , UPCAAddon2 = 7 ,   UPCAAddon5 = 8 , UPCE = 9 , UPCEAddon2 = 10 , UPCEAddon5 = 11 ,   CODE128 = 12 , CODE39 = 13 , CODE93 = 14 , Interleaved2of5 = 15 }
	Barcode standards. More...
enum	BayerType { GR = 0 , RG = 1 , GB = 2 , BG = 3 }
	Bayer-encoding type. More...
enum	BlendingMethod { OverimposeFirst = 0 , OverimposeSecond = 1 , Average = 2 , CrossFade = 3 }
	Describes how two images are blended together in overlapping sections (see concatenateImages). More...
enum	BorderPadding {   Reflect = 0 , Reflect101 = 1 , Replicate = 2 , Wrap = 3 ,   Zero = 4 }
	The type of padding added to each border during a math operation. More...
enum	BorderPosition { Internal = 0 , External = 1 , Centered = 2 }
	Border position with respect to the provided radius. More...
enum	CalibrationMode { Cropped = 0 , FullFOV = 1 }
	Calibration mode type. More...
enum	CameraCalibration {   Pinhole_Divisional = 0 , Pinhole_Polynomial = 1 , Pinhole_PolynomialWithThinPrism = 2 , Telecentric = 3 ,   Radial = 4 }
enum	ChannelsLayout { NCHW = 0 , NHWC = 1 , CHW = 2 , HWC = 3 }
	Possible tensor channel layout formats. More...
enum	CharacterFeaturesType {   Pixels = 0 , Convexity = 1 , Circularity = 2 , NumberOfHoles = 3 ,   AspectRatio = 4 , Width = 5 , Height = 6 , AreaRatio = 7 ,   DiameterRatio = 8 , Elongation = 9 , Orientation = 10 , HorizontalProjection = 11 ,   VerticalProjection = 12 , HoughCircles = 13 , Zoning4x4 = 14 , Moment_XY = 15 ,   Moment_YY = 16 , Moment_XX = 17 }
	Possible character features to use for OCR. More...
enum	CharacterSortingOrder {   None = 0 , LeftToRight = 1 , RightToLeft = 2 , TopToBottom = 3 ,   MultiLines_LeftToRight = 4 , MultiLines_RightToLeft = 5 }
	Decides whether and how to sort character. More...
enum	CharucoDictionary {   DICT_4X4_50 = 0 , DICT_4X4_100 = 1 , DICT_4X4_250 = 2 , DICT_4X4_1000 = 3 ,   DICT_5X5_50 = 4 , DICT_5X5_100 = 5 , DICT_5X5_250 = 6 , DICT_5X5_1000 = 7 ,   DICT_6X6_50 = 8 , DICT_6X6_100 = 9 , DICT_6X6_250 = 10 , DICT_6X6_1000 = 11 ,   DICT_7X7_50 = 12 , DICT_7X7_100 = 13 , DICT_7X7_250 = 14 , DICT_7X7_1000 = 15 ,   DICT_ARUCO_ORIGINAL = 16 , DICT_APRILTAG_16h5 = 17 , DICT_APRILTAG_25h9 = 18 , DICT_APRILTAG_36h10 = 19 ,   DICT_APRILTAG_36h11 = 20 }
	ChArUco dictionary. More...
enum	CircleFittingMethod { AlgebraicKasa = 0 , AlgebraicPratt = 1 , AlgebraicTaubin = 2 , GeometricLandau = 3 }
	Algorithms used for fitting a circle to a set of points. More...
enum	CircularityMeasure { BoundingCirclePreserving = 0 , PerimeterPreserving = 1 , RadiusPreserving = 2 }
	Reference region used to calculate circularity. More...
enum	ColorConversionCode {   RGB_TO_HSI = 0 , RGB_TO_HSL = 1 , RGB_TO_HSV = 2 , RGB_TO_XYZ = 3 ,   RGB_TO_YUV = 4 , RGB_TO_CMYK = 5 , RGB_TO_YCoCg = 6 , RGB_TO_RGB565 = 7 ,   RGB_TO_BGR = 8 , RGBA_TO_BGRA = 9 , HSI_TO_RGB = 10 , HSL_TO_RGB = 11 ,   HSV_TO_RGB = 12 , XYZ_TO_RGB = 13 , YUV_TO_RGB = 14 , CMYK_TO_RGB = 15 ,   YCoCg_TO_RGB = 16 , RGB565_TO_RGB = 17 , BGR_TO_RGB = 18 , BGRA_TO_RGBA = 19 }
	Color Space Conversions codes. More...
enum	ConcatDirection { Horizontal = 0 , Vertical = 1 }
	Directions in which two objects will be concatenated. More...
enum	CorrelationMeasure { NormalizedCrossCorrelation = 0 , CrossCorrelation = 1 }
	How to compute image correlation. More...
enum	CropScale { InputScale = 0 , AlignedScale = 1 }
	Possible scales for the output image. More...
enum	DebayeringMethod { Bilinear = 0 , VNG = 1 }
	Method to be used for debayering (in other words the decoding of a Bayer-encoded image). More...
enum	DemosaicingAlgorithm { None = 0 , NearestNeighbour = 1 , Bilinear = 2 , WeightedBilinear = 3 }
	Selects the demosaicing algorithm for polarization analysis. More...
enum	DifferentiationMethod { Forward = 0 , Backward = 1 , Central = 2 }
	Determines which values are considered when approximating derivatives. More...
enum	Dimension { Width = 0 , Height = 1 }
	Chooses a dimension where the operation will be performed. More...
enum	DistanceMeasure { MeanError = 0 , MeanSquaredError = 1 }
	Determines how to measure the distance between two objects (like profiles, histograms or images). More...
enum	DownsampleRegionMode { Any = 0 , All = 1 }
	Methods used by Region::downsample to determine which pixels to maintain. More...
enum	DynamicThresholdMethod { Mean = 0 , Median = 1 , Middle = 2 }
	Determines which value to consider (inside a local neighborhood) for the dynamic version of Image::threshold / Image::thresholdToRegion. More...
enum	EdgeFilter { Canny = 0 , Deriche = 1 }
	Selects the method for computing image gradients in findEdges2D. More...
enum	EdgePolarity { Enable = 0 , IgnoreGlobally = 1 , IgnoreLocally = 2 }
	Defines if and how the polarity of an edge is considered in findObjects. More...
enum	EdgeTransition { BrightToDark = 0 , DarkToBright = 1 , Any = 2 }
	Decides which edges have to be considered. More...
enum	ExceptionType {   NO_ERROR = 0 , RUNTIME_ERROR = 1 , OUT_OF_MEMORY_ERROR = 2 , IO_ERROR = 3 ,   OS_ERROR = 4 , DOMAIN_ERROR = 5 , FATAL_ERROR = 6 , LICENSE_ERROR = 99 ,   NULLPTR_ERROR = 100 , UNEXPECTED_ERROR = 101 }
	Types of possible exceptions. More...
enum	ExecutionProvider { CPU = 0 , CUDA = 1 , OpenVINO = 2 }
	Defines backends for ONNX Runtime model execution. More...
enum	ExtremumType { Maximum = 0 , Minimum = 1 , Any = 2 }
	Decides what kind of extremum has to be found or returned by Histogram::getLocalExtrema / Profile::getLocalExtrema. More...
enum	FourierNormalization { None = 0 , Sqrt = 1 , N = 2 }
	Type of normalization applied after a direct or inverse Fourier transform. More...
enum	GaussianKernel {   _2x2 = 0 , _3x3 = 1 , _5x5 = 2 , _7x7 = 3 ,   _9x9 = 4 , _11x11 = 5 }
	Possible sizes of Gaussian kernel used to smooth images (in Image::gaussianSmooth and Image::gaussianPyramidDownsample). More...
enum	GradientMethod {   Sobel = 0 , Prewitt = 1 , Scharr = 2 , Central = 3 ,   Forward = 4 }
	Describes methods for computing image gradients. More...
enum	GradientOrientation { Horizontal = 0 , Vertical = 1 }
	Possible gradient's orientation. More...
enum	GraphOptimizationLevel { DisableAll = 0 , EnableBasic = 1 , EnableExtended = 2 , EnableAll = 3 }
	ONNX Runtime graph optimization levels for model compilation. More...
enum	HSxModel { HSV = 0 , HSL = 1 , HSI = 2 }
	Color models for HSx images (HSV, HSL, HSI). More...
enum	ImageFileFormat {   BMP = 0 , JPEG = 1 , PNG = 2 , PNM = 3 ,   TIFF = 4 , WEBP = 5 }
	Available formats when saving an image to a file (see Image::save). More...
enum	ImageMoment {   _00 = 0 , _01 = 1 , _10 = 2 , _02 = 3 ,   _11 = 4 , _20 = 5 }
	Possible image moment descriptors. More...
enum	InterpolationMethod1D { Fast = 0 , Precise = 1 }
	Interpolation methods used for profiles and histograms. More...
enum	InterpolationMethod2D { NearestNeighbour = 0 , Bilinear = 1 }
	Pixel interpolation methods on an image. More...
enum	KernelShape { Box = 0 , Cross = 1 , Ellipse = 2 }
	Possible kernel shapes. More...
enum	KernelSVM {   Linear = 0 , Polynomial = 1 , RBF = 2 , Sigmoid = 3 ,   ExponentialChi2 = 4 , HistogramIntersection = 5 }
	Type of kernels used in ocr::SVM::train. More...
enum	KMeansInitialization { Random = 0 , KMeansPP = 1 }
enum	Language {   English = 0 , Italian = 1 , Chinese_Simplified = 2 , Chinese_Traditional = 3 ,   Russian = 4 }
enum	LineMEstimator { Huber = 0 , Tukey = 1 }
	Defines the linear regression estimator to use. More...
enum	MagnitudeMeasure {   Horizontal = 0 , Vertical = 1 , Average = 2 , Sum = 3 ,   Maximum = 4 , Hypot = 5 }
	Describes how to measure magnitude from a vector. More...
enum	MatchingCriterion { Intersection = 0 , Inclusion = 1 }
	Methods of classifying a path or a region as a member of a group (see ov::groupPathsByRegions and ov::groupRegionsByRegions). More...
enum	MeanKernel { Box3x3 = 0 , Box5x5 = 1 }
	Describes the shape and size of a kernel used in image smoothing (Image::smooth). More...
enum	MEstimator { Huber = 0 , Tukey = 1 }
	Defines how to suppress the outliers in the result. More...
enum	MirrorDirection { Horizontal = 0 , Vertical = 1 , Both = 2 }
	Possible directions of image mirroring. More...
enum	ModelArch { MLP = 0 , SVM = 1 }
	Types of OCR models. More...
enum	ModelPerformance { Best = 0 , Fast = 1 }
	Describes what model to select in Deep Learning algorithms. More...
enum	MorphologyKernel {   Box3x3 = 0 , Box5x5 = 1 , Cross3x3 = 2 , Cross5x5 = 3 ,   Disc5x5 = 4 , Disc7x7 = 5 , Disc9x9 = 6 }
	Describes both the shape and size of kernels used in morphological operations. More...
enum	ONNXLoggingLevel {   Verbose = 0 , Info = 1 , Warning = 2 , Error = 3 ,   Fatal = 4 }
	Logging severity levels for ONNX Runtime diagnostic output. More...
enum	ONNXType { Tensor = 0 , Unknown = 1 }
	Classification of ONNX node types for model introspection. More...
enum	PathDistanceMode { PointToPoint = 0 , PointToSegment = 1 }
	Method of computing distances between two paths. More...
enum	PathFeature {   BoundingBoxBottom = 0 , BoundingBoxLeft = 1 , BoundingBoxRight = 2 , BoundingBoxTop = 3 ,   DiameterLength = 4 , Length = 5 , MassCenterX = 6 , MassCenterY = 7 ,   PolygonArea = 8 , PolygonCircularity_BoundingCirclePreserving = 9 , PolygonCircularity_PerimeterPreserving = 10 , PolygonCircularity_RadiusPreserving = 11 ,   PolygonConvexity = 12 , PolygonElongation = 13 , PolygonMajorAxisLength = 14 , PolygonMinorAxisLength = 15 ,   PolygonRectangularity = 16 , Size = 17 }
	Path features. More...
enum	PathFilter { All = 0 , ClosedOnly = 1 , OpenOnly = 2 }
	Determines which paths to consider. More...
enum	PathJoiningAngleMeasure { InputPathOrientation = 0 , OutputPathOrientation = 1 }
	Determines how to measure the angle between two jointed paths. More...
enum	PathJoiningMethod { AddBridge = 0 , UniteEnds = 1 }
	Determines how to combine two paths (in the middle). More...
enum	PathSegmentationMode { SegmentsAndArcs = 0 , Segments = 1 }
	Describes how to segment a path. More...
enum	PatternFinder { Checkerboard = 0 , CircleGrid = 1 , ChArUco = 2 }
enum	PixelType {   UInt8 = 0 , Int8 = 1 , UInt16 = 2 , Int16 = 3 ,   Int32 = 4 , Float = 5 }
	Pixel type (how many bytes are used for each pixel). More...
enum	PolarInterpolationMethod {   Nearest = 0 , Linear = 1 , Cubic = 2 , Area = 3 ,   Lanczos4 = 4 }
	Possible pixel interpolation methods for polar transform. More...
enum	Polarity { Bright = 0 , Dark = 1 , Any = 2 }
	Determines which pixel values to take. Used in edge detection operations. More...
enum	PolarizationAngle { _0Degrees = 0 , _45Degrees = 1 , _90Degrees = 2 , _135Degrees = 3 }
	Selects the light polarization angle. More...
enum	PolarizationPattern { _00 = 0 , _01 = 1 , _10 = 2 , _11 = 3 }
	Grid layout of the polarization filter array. More...
enum	PolarSpace { Polar = 0 , LogPolar = 1 }
	Image polar space. More...
enum	PolygonMoment { _02 = 0 , _11 = 1 , _20 = 2 }
	Types of polygon moments, where $ p_x $ and $ p_y $ denotes x and y coordinate of a point $ p $. More...
enum	ProfileResizeMethod { NearestNeighbour = 0 , Linear = 1 }
	Interpolation methods when resizing a profile. More...
enum	ProjectionCombination {   Average = 0 , Maximum = 1 , Minimum = 2 , Sum = 3 ,   Median = 4 }
	Types of values' combinations when a projection is required (see Image::getProjection). More...
enum	ProjectionDirection { Horizontal = 0 , Vertical = 1 }
	Projection's directions. More...
enum	RectangleCorner { TopLeft = 0 , TopRight = 1 , BottomRight = 2 , BottomLeft = 3 }
	Corners of a rectangle (used in Rectangle2D::getCorner). More...
enum	RectangleOrientation { Horizontal = 0 , Vertical = 1 , Any = 2 }
	Rectangle's possible orientations. More...
enum	RegionConnectivity { EightDirections = 0 , FourDirections = 1 }
	Defines how pixels are connected when merging regions. More...
enum	RegionFeature {   Area = 0 , BoundingBoxBottom = 1 , BoundingBoxHeight = 2 , BoundingBoxLeft = 3 ,   BoundingBoxRight = 4 , BoundingBoxTop = 5 , BoundingBoxWidth = 6 , Circularity_BoundingCirclePreserving = 7 ,   Circularity_PerimeterPreserving = 8 , Circularity_RadiusPreserving = 9 , Convexity = 10 , DiameterLength = 11 ,   Elongation = 12 , MassCenterX = 13 , MassCenterY = 14 , MajorAxisLength = 15 ,   MinorAxisLength = 16 , NumberOfHoles_EightDirections = 17 , NumberOfHoles_FourDirections = 18 , PerimeterLength = 19 ,   Rectangularity = 20 }
	Region features (used to compare regions). More...
enum	RegionMoment { _02 = 0 , _11 = 1 , _20 = 2 }
	Types of region moments, where $ p_x $ and $ p_y $ denote the x and y coordinate of a pixel $ p $. More...
enum	RegionOuterBoundary { Top = 0 , Right = 1 , Bottom = 2 , Left = 3 }
	A region boundary is a collection of points that are not connected to other points in at least one direction. More...
enum	ResizeMethod { NearestNeighbour = 0 , Bilinear = 1 , Area = 2 }
	Interpolation methods used in Image::resize. More...
enum	RotationDirection { Clockwise = 0 , CounterClockwise = 1 }
	Rotation directions when operations including angle measuring or vector interpolation are considered. More...
enum	RotationSize { Fit = 0 , Preserve = 1 }
	How an image is resized after a rotation (in Image::rotate). More...
enum	SegmentationAlgorithm { SimpleBlobs = 0 , ProjectionAnalysis = 1 , BlobsDistance = 2 }
	Methods for splitting text into single characters. More...
enum	Selection { Best = 0 , First = 1 , Last = 2 }
	Filter for selecting edges, ridges and stripes. More...
enum	ShapeRegionType {   Region = 0 , Rectangle = 1 , Circle = 2 , Polygon = 3 ,   Ring = 4 , Ellipse = 5 }
	Type of objects encapsulated inside a ShapeRegion. More...
enum	ShearSize { Fit = 0 , Preserve = 1 }
	How an image is resized after a rotation (in Image::rotate). More...
enum	ShiftDirection { Left = 0 , Right = 1 }
	Directions in which path's points will be moved. More...
enum	SortingOrder { Ascending = 0 , Descending = 1 }
	Decides whether objects should be sorted in ascendant or descendant order. More...
enum	SplitDirection { Horizontal = 0 , Vertical = 1 }
	Directions in which a box or a rectangle will be split. More...
enum	TensorDataType {   Undefined = 0 , Float = 1 , UInt8 = 2 , Int8 = 3 ,   UInt16 = 4 , Int16 = 5 , Int32 = 6 , Int64 = 7 ,   String = 8 , Bool = 9 , Float16 = 10 , Double = 11 ,   UInt32 = 12 , UInt64 = 13 }
	Supported ONNX tensor element data types. More...
enum	TextOrientation { Vertical = 0 , Horizontal = 1 }
	Possible text orientations for OCR processing. More...
enum	TextSplitLevel {   Block = 0 , Paragraph = 1 , Line = 2 , Word = 3 ,   Symbol = 4 }
	Describes how the text inside an image will be split by ov::dl::readText. More...
enum	ThresholdingAlgorithm { Simple = 0 , Dynamic = 1 , Automatic = 2 }
	Thresholding algorithms used for text extraction (see ov::ocr::extractText). More...
enum	ThresholdSelectionMethod {   ClusteringKittler = 0 , ClusteringKMeans = 1 , ClusteringOtsu = 2 , Entropy = 3 ,   HistogramIntermodes = 4 }
	Methods for automatic threshold value selection (see Image::findBestThresholdValue). More...
enum	TranslateAlignment { Absolute = 0 , Relative = 1 }
	Defines how to use the coordinate system alignment in translation operations. More...
enum	TrimPathMethod { PointToPoint = 0 , AlongBoundary = 1 }
	Methods to trim a path. More...
enum	TurnAngleDirection { Left = 0 , Right = 1 , All = 2 }
	Decides which turns to consider when computing path angles. More...

Enumeration Type Documentation

AccumulationMode

enum oevislib_net.Enums.AccumulationMode

How the values in a profile will be combined.

ActivationFunction

enum oevislib_net.Enums.ActivationFunction

Function used to activate neurons in Multi-Layer Perceptrons.

Enumerator
Identity	Identity function: $ f(x) = x $.
Sigmoid	Symmetrical sigmoid: $ f(x) = \beta \cdot \frac{1 - e^{-\alpha x}}{1 + e^{-\alpha x}} $.
Tanh	Hyperbolic tangent function: $ f(x) = \frac{e^x - e^{-x}}{e^x + e^{-x}} $.
Gaussian	Gaussian function: $ f(x) = \beta e^{-\alpha x} \cdot x $.

Anchor2D

enum oevislib_net.Enums.Anchor2D

The relative position of an object.

AngleMetric

enum oevislib_net.Enums.AngleMetric

Angle measurement methods.

AngleRange

enum oevislib_net.Enums.AngleRange

Range of angle calculation or normalization.

Axis

enum oevislib_net.Enums.Axis

Name of the axis in the Cartesian space.

BarcodeFormat

enum oevislib_net.Enums.BarcodeFormat

Barcode standards.

BayerType

enum oevislib_net.Enums.BayerType

Bayer-encoding type.

BlendingMethod

enum oevislib_net.Enums.BlendingMethod

Describes how two images are blended together in overlapping sections (see concatenateImages).

Enumerator
OverimposeFirst	Pixels from the first image are used in the overlapping sections.
OverimposeSecond	Pixels from the second image are used in the overlapping sections.
Average	An average of the pixels from the first and the second image is taken.
CrossFade	A dissolve transition (based on transparency adjustment) is used to give a smooth transition.

BorderPadding

enum oevislib_net.Enums.BorderPadding

The type of padding added to each border during a math operation.

BorderPosition

enum oevislib_net.Enums.BorderPosition

Border position with respect to the provided radius.

CalibrationMode

enum oevislib_net.Enums.CalibrationMode

Calibration mode type.

Enumerator
Cropped	Cropped.
FullFOV	Full Field-Of-View.

CameraCalibration

enum oevislib_net.Enums.CameraCalibration

Enumerator
Pinhole_Divisional	Pinhole camera model with divisional lens distortion model.
Pinhole_Polynomial	Pinhole camera model with polynomial lens distortion model.
Pinhole_PolynomialWithThinPrism	Pinhole camera model with polynomial with thin prism lens distortion model.
Telecentric	Telecentric camera model.
Radial	Radial camera model.

ChannelsLayout

enum oevislib_net.Enums.ChannelsLayout

Possible tensor channel layout formats.

Enumerator
NCHW	BatchId, Channels, Height, Width.
NHWC	BatchId, Height, Width, Channels.
CHW	Channels, Height, Width.
HWC	Height, Width, Channels.

CharacterFeaturesType

enum oevislib_net.Enums.CharacterFeaturesType

Possible character features to use for OCR.

Enumerator
Pixels	Normalized grayscale level of all pixels.
Convexity	Character convexity value.
Circularity	Character circularity value.
NumberOfHoles	Number of holes.
AspectRatio	Aspect ratio of character.
Width	Maximal width of character.
Height	Maximal height of character.
AreaRatio	Area of character.
DiameterRatio	Normalized diameter of the character.
Elongation	Aspect ratio of bounding ellipse diameters.
Orientation	Orientation of the character.
HorizontalProjection	Character projection on the Y axis.
VerticalProjection	Character projection on the X axis.
HoughCircles	Circles found in characteristic points of letters.
Zoning4x4	Downsampled to 4x4 pixels image of character.
Moment_XY	M11 moment of character.
Moment_YY	M02 moment of character.
Moment_XX	M20 moment of character.

CharacterSortingOrder

enum oevislib_net.Enums.CharacterSortingOrder

Decides whether and how to sort character.

Enumerator
None	Sorting will not be performed.
LeftToRight	From left to right.
RightToLeft	From right to left.
TopToBottom	From top to bottom.
MultiLines_LeftToRight	Detect different lines and sort the characters in each one from left to right.
MultiLines_RightToLeft	Detect different lines and sort the characters in each one from right to left.

CharucoDictionary

enum oevislib_net.Enums.CharucoDictionary

ChArUco dictionary.

Enumerator
DICT_4X4_50	4x4 bits, minimum hamming distance between any two codes = 4, 50 codes
DICT_4X4_100	4x4 bits, minimum hamming distance between any two codes = 3, 100 codes
DICT_4X4_250	4x4 bits, minimum hamming distance between any two codes = 3, 250 codes
DICT_4X4_1000	4x4 bits, minimum hamming distance between any two codes = 2, 1000 codes
DICT_5X5_50	5x5 bits, minimum hamming distance between any two codes = 8, 50 codes
DICT_5X5_100	5x5 bits, minimum hamming distance between any two codes = 7, 100 codes
DICT_5X5_250	5x5 bits, minimum hamming distance between any two codes = 6, 250 codes
DICT_5X5_1000	5x5 bits, minimum hamming distance between any two codes = 5, 1000 codes
DICT_6X6_50	6x6 bits, minimum hamming distance between any two codes = 13, 50 codes
DICT_6X6_100	6x6 bits, minimum hamming distance between any two codes = 12, 100 codes
DICT_6X6_250	6x6 bits, minimum hamming distance between any two codes = 11, 250 codes
DICT_6X6_1000	6x6 bits, minimum hamming distance between any two codes = 9, 1000 codes
DICT_7X7_50	7x7 bits, minimum hamming distance between any two codes = 19, 50 codes
DICT_7X7_100	7x7 bits, minimum hamming distance between any two codes = 18, 100 codes
DICT_7X7_250	7x7 bits, minimum hamming distance between any two codes = 17, 250 codes
DICT_7X7_1000	7x7 bits, minimum hamming distance between any two codes = 14, 1000 codes
DICT_ARUCO_ORIGINAL	6x6 bits, minimum hamming distance between any two codes = 3, 1024 codes
DICT_APRILTAG_16h5	4x4 bits, minimum hamming distance between any two codes = 5, 30 codes
DICT_APRILTAG_25h9	5x5 bits, minimum hamming distance between any two codes = 9, 35 codes
DICT_APRILTAG_36h10	6x6 bits, minimum hamming distance between any two codes = 10, 2320 codes
DICT_APRILTAG_36h11	6x6 bits, minimum hamming distance between any two codes = 11, 587 codes

CircleFittingMethod

enum oevislib_net.Enums.CircleFittingMethod

Algorithms used for fitting a circle to a set of points.

Enumerator
AlgebraicKasa	Minimizes the average squared pseudo-distance between the result circle and the given points. It is the fastest method, but may be less accurate when the input points are sampled along small arc only.
AlgebraicPratt	Minimizes the average squared distance between the result circle and the given points.
AlgebraicTaubin	Minimizes the average squared distance between the result circle and the given points.
GeometricLandau	Iterative method improving an initial guess basing on distances between the result circle and the given points.

CircularityMeasure

enum oevislib_net.Enums.CircularityMeasure

Reference region used to calculate circularity.

Enumerator
BoundingCirclePreserving	Minimal bounding circle.
PerimeterPreserving	Circular region with perimeter length equal to input region.
RadiusPreserving	Circular region that has radius equal to input regions' radius.

ColorConversionCode

enum oevislib_net.Enums.ColorConversionCode

Color Space Conversions codes.

ConcatDirection

enum oevislib_net.Enums.ConcatDirection

Directions in which two objects will be concatenated.

CorrelationMeasure

enum oevislib_net.Enums.CorrelationMeasure

How to compute image correlation.

Enumerator
NormalizedCrossCorrelation	Result is the sum of products of corresponding pixel values of the images.
CrossCorrelation	Result is the normalized sum of products of corresponding pixel values of the images. This value always lies in closed interval [-1,1], with 1 indicating the images ideal correlation.

CropScale

enum oevislib_net.Enums.CropScale

Possible scales for the output image.

Enumerator
InputScale	Keep the scale unchanged.
AlignedScale	Rescale according to the input alignment scale.

DebayeringMethod

enum oevislib_net.Enums.DebayeringMethod

Method to be used for debayering (in other words the decoding of a Bayer-encoded image).

DebayeringMethod.Bilinear is a good choice for images that are not expected to contain sharp edges or high spatial frequency variations, otherwise, DebayeringMethod.VNG is more suitable.

Enumerator
Bilinear	Bilinear interpolation (simple and efficient, but can produce color artifacts).
VNG	Interpolation with a Variable Number of Gradients (slowest but produces highest quality results).

DemosaicingAlgorithm

enum oevislib_net.Enums.DemosaicingAlgorithm

Selects the demosaicing algorithm for polarization analysis.

DifferentiationMethod

enum oevislib_net.Enums.DifferentiationMethod

Determines which values are considered when approximating derivatives.

Enumerator
Forward	Considers values at the current point and one step ahead.
Backward	Considers values at the current point and one step behind.
Central	Considers values at the current point, one step ahead and one step behind.

Dimension

enum oevislib_net.Enums.Dimension

Chooses a dimension where the operation will be performed.

DistanceMeasure

enum oevislib_net.Enums.DistanceMeasure

Determines how to measure the distance between two objects (like profiles, histograms or images).

Enumerator
MeanError	Less sensitive to outliers (more suitable for anomalies detection).
MeanSquaredError	Gives more impact to larger errors and is more efficient.

DownsampleRegionMode

enum oevislib_net.Enums.DownsampleRegionMode

Methods used by Region::downsample to determine which pixels to maintain.

Enumerator
Any	Any of 4 pixels has to be present.
All	All of 4 pixels have to be present.

DynamicThresholdMethod

enum oevislib_net.Enums.DynamicThresholdMethod

Determines which value to consider (inside a local neighborhood) for the dynamic version of Image::threshold / Image::thresholdToRegion.

EdgeFilter

enum oevislib_net.Enums.EdgeFilter

Selects the method for computing image gradients in findEdges2D.

Both filters are based on the derivative of a Gaussian function, but they differ in the way that they are implemented.

Enumerator
Canny	Accurate edge detection with a good noise suppression.
Deriche	More efficient and less likely to produce false edges in high contrast areas.

EdgePolarity

enum oevislib_net.Enums.EdgePolarity

Defines if and how the polarity of an edge is considered in findObjects.

Enumerator
Enable	Edges found in the same place but with different polarity are not considered.
IgnoreGlobally	Objects match regardless of their polarity.
IgnoreLocally	Like IgnoreGlobally, but also partially brighter or darker objects are considered.

EdgeTransition

enum oevislib_net.Enums.EdgeTransition

Decides which edges have to be considered.

Enumerator
BrightToDark	Only changes from bright pixels to dark ones are accepted.
DarkToBright	Only changes from dark pixels to bright ones are accepted.
Any	Any change in pixel intensity is accepted.

ExceptionType

enum oevislib_net.Enums.ExceptionType

Types of possible exceptions.

Enumerator
RUNTIME_ERROR	Error that occurs during runtime.
OUT_OF_MEMORY_ERROR	Error caused trying to access some memory that is not available.
IO_ERROR	Error caused by input/output operations.
OS_ERROR	Error caused from the interaction with the operating system.
DOMAIN_ERROR	Error caused by a parameter having a value outside the allowed range.
LICENSE_ERROR	Error related to the licensing.
NULLPTR_ERROR	Error caused by handling unassigned pointers.
UNEXPECTED_ERROR	Error not expected during the function execution.

ExecutionProvider

enum oevislib_net.Enums.ExecutionProvider

Defines backends for ONNX Runtime model execution.

Enumerator
CPU	CPU execution provider.
CUDA	NVIDIA CUDA execution provider for GPU-accelerated inference.
OpenVINO	Intel OpenVINO execution provider for optimized cross-platform inference.

ExtremumType

enum oevislib_net.Enums.ExtremumType

Decides what kind of extremum has to be found or returned by Histogram::getLocalExtrema / Profile::getLocalExtrema.

Enumerator
Any	Both Minima and Maxima values.

FourierNormalization

enum oevislib_net.Enums.FourierNormalization

Type of normalization applied after a direct or inverse Fourier transform.

Enumerator
None	Normalization is not applied.
Sqrt	Normalization is applied using the square root of the number of pixels.
N	Normalization is applied using the number of pixels.

GaussianKernel

enum oevislib_net.Enums.GaussianKernel

Possible sizes of Gaussian kernel used to smooth images (in Image::gaussianSmooth and Image::gaussianPyramidDownsample).

GradientMethod

enum oevislib_net.Enums.GradientMethod

Describes methods for computing image gradients.

The first three operators all use a weighted sum of the neighboring pixels to calculate the gradient (considering all the 8 neighbors), while Central and Foward use only a subset of the neighborhood. The first three guarantee better accuracy, while the last two are more efficient.

Enumerator
Sobel	More sensitive to edges.
Prewitt	Recommended when speed is more important than accuracy.
Scharr	Less sensitive to noise (but also to edges).
Central	Only two direct neighbors of a pixel are considered (the ones at its left and right)
Forward	Only one direct neighbor of a pixel is considered (the one at its right)

GradientOrientation

enum oevislib_net.Enums.GradientOrientation

Possible gradient's orientation.

GraphOptimizationLevel

enum oevislib_net.Enums.GraphOptimizationLevel

ONNX Runtime graph optimization levels for model compilation.

Enumerator
DisableAll	No graph optimization applied to the ONNX model.
EnableBasic	Basic level graph optimization including constant folding and operator fusion.
EnableExtended	Extended level graph optimization with additional transformations beyond basic.
EnableAll	All available graph optimization techniques applied to maximize performance.

HSxModel

enum oevislib_net.Enums.HSxModel

Color models for HSx images (HSV, HSL, HSI).

Enumerator
HSV	Hue-Saturation-Value.
HSL	Hue-Saturation-Lightness.
HSI	Hue-Saturation-Intensity.

ImageFileFormat

enum oevislib_net.Enums.ImageFileFormat

Available formats when saving an image to a file (see Image::save).

Enumerator
BMP	Best for uncompressed images (lossless).
JPEG	Best for photos or images with lots of color and details (lossy).
PNG	Best for images with sharp edges or text (lossless). Supports also UInt16 images and 4-channels images.
PNM	Portable image formats.
TIFF	Used for both lossy and lossless compressed images. Supports also UInt16 and Float images.
WEBP	Used for both lossy and lossless compressed images.

ImageMoment

enum oevislib_net.Enums.ImageMoment

Possible image moment descriptors.

Enumerator
_00	$ M_{00} = \sum_{(x, y) \in ROI} I(x, y) $
_01	$ M_{01} = \sum_{(x, y) \in ROI} x \cdot I(x, y) $
_10	$ M_{10} = \sum_{(x, y) \in ROI} y \cdot I(x, y) $
_02	$ M_{02} = \sum_{(x, y) \in ROI} x^2 \cdot I(x, y) $
_11	$ M_{11} = \sum_{(x, y) \in ROI} x \cdot y \cdot I(x, y) $
_20	$ M_{20} = \sum_{(x, y) \in ROI} y^2 \cdot I(x, y) $

InterpolationMethod1D

enum oevislib_net.Enums.InterpolationMethod1D

Interpolation methods used for profiles and histograms.

Enumerator
Fast	Linear interpolation (pixel-precise).
Precise	Quadratic polynomial interpolation given 3 consecutive points (subpixel-precise, up to 1/6 px).

InterpolationMethod2D

enum oevislib_net.Enums.InterpolationMethod2D

Pixel interpolation methods on an image.

Enumerator
NearestNeighbour	The nearest pixel value is taken. Simple and efficient, but can produce artifacts.
Bilinear	The weighted average of the four nearest pixels is taken. Slower but more accurate.

KernelShape

enum oevislib_net.Enums.KernelShape

Possible kernel shapes.

KernelSVM

enum oevislib_net.Enums.KernelSVM

Type of kernels used in ocr::SVM::train.

Enumerator
Linear	Linear kernel. Simple and fast.
Polynomial	Polynomial kernel. More complex than the previous one.
RBF	Radial Basis Function kernel. It can capture both linear and non-linear relationships.
Sigmoid	Sigmoid kernel. For more complex non-linear relationships.
ExponentialChi2	Exponential Chi2 kernel. Similar to RBF kernel, but most robust to outliers.
HistogramIntersection	Histogram intersection kernel. It compares the input distributions.

KMeansInitialization

enum oevislib_net.Enums.KMeansInitialization

Enumerator
Random	Random initial centroids are selected at each attempt.
KMeansPP	Centroids are generated using KMeans++ initialization method (http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf).

Language

enum oevislib_net.Enums.Language

Enumerator
English	English.
Italian	Italian.
Chinese_Simplified	Simplified Chinese.
Chinese_Traditional	Traditional Chinese.
Russian	Russian.

LineMEstimator

enum oevislib_net.Enums.LineMEstimator

Defines the linear regression estimator to use.

Enumerator
Huber	Efficient when data is normally distributed.
Tukey	More robust to outliers but less efficient than the previous.

MagnitudeMeasure

enum oevislib_net.Enums.MagnitudeMeasure

Describes how to measure magnitude from a vector.

Enumerator
Horizontal	$ M_{Horizontal} = \frac{|x|}{4} $
Vertical	$ M_{Vertical} = \frac{|y|}{4} $
Average	$ M_{Average} = \frac{|x| + |y|}{8} $
Sum	$ M_{Sum} = \frac{|x| + |y|}{4} $ (saturated)
Maximum	$ M_{Maximum} = \frac{max(|x|, |y|)}{4} $
Hypot	$ M_{Hypot} = \frac{\sqrt{x^2 + y^2}}{4} $

MatchingCriterion

enum oevislib_net.Enums.MatchingCriterion

Methods of classifying a path or a region as a member of a group (see ov::groupPathsByRegions and ov::groupRegionsByRegions).

Enumerator
Intersection	The objects must have at least a point in common with the region.
Inclusion	The objects have to be fully included in the region.

MeanKernel

enum oevislib_net.Enums.MeanKernel

Describes the shape and size of a kernel used in image smoothing (Image::smooth).

MEstimator

enum oevislib_net.Enums.MEstimator

Defines how to suppress the outliers in the result.

Enumerator
Huber	Considers the weighted average of the data points. More efficient.
Tukey	Considers a trimmed mean of the data points (a percentage at the distribution boundaries is excluded).

MirrorDirection

enum oevislib_net.Enums.MirrorDirection

Possible directions of image mirroring.

ModelArch

enum oevislib_net.Enums.ModelArch

Types of OCR models.

Enumerator
MLP	Multi-Layer Perceptron.
SVM	Support Vector Machine.

ModelPerformance

enum oevislib_net.Enums.ModelPerformance

Describes what model to select in Deep Learning algorithms.

Enumerator
Best	Best model.
Fast	Fast model.

MorphologyKernel

enum oevislib_net.Enums.MorphologyKernel

Describes both the shape and size of kernels used in morphological operations.

ONNXLoggingLevel

enum oevislib_net.Enums.ONNXLoggingLevel

Logging severity levels for ONNX Runtime diagnostic output.

ONNXType

enum oevislib_net.Enums.ONNXType

Classification of ONNX node types for model introspection.

PathDistanceMode

enum oevislib_net.Enums.PathDistanceMode

Method of computing distances between two paths.

Enumerator
PointToPoint	Distance is measured between the two nearest points of the two paths.
PointToSegment	Distance is measured between a point in the first path and its nearest segment in the second.

PathFeature

enum oevislib_net.Enums.PathFeature

Path features.

Enumerator
BoundingBoxBottom	Bottom position of path's bounding box (call to Path::getBoundingBox()).
BoundingBoxLeft	Left position of path's bounding box (call to Path::getBoundingBox()).
BoundingBoxRight	Right position of path's bounding box (call to Path::getBoundingBox()).
BoundingBoxTop	Top position of path's bounding box (call to Path::getBoundingBox()).
DiameterLength	Length of the path's diameter (call to Path::getDiameter()).
Length	Total length of the path (call to Path::getLength()).
MassCenterX	X coordinate of the path's mass center (call to Path::getMassCenter()).
MassCenterY	Y coordinate of the path's mass center (call to Path::getMassCenter()).
PolygonArea	Area of a polygon (call to Path::getArea()).
PolygonCircularity_BoundingCirclePreserving	Circularity computed by Path::getCircularity() with BoundingCirclePreserving method.
PolygonCircularity_PerimeterPreserving	Circularity computed by Path::getCircularity() with PerimeterPreserving method.
PolygonCircularity_RadiusPreserving	Circularity computed by Path::getCircularity() with RadiusPreserving method.
PolygonConvexity	Polygon convexity (call to Path::getConvexity()).
PolygonElongation	Polygon elongation (call to Path::getElongation()).
PolygonMajorAxisLength	Length of the path major elliptic axis (call to Path::getMajorEllipticAxis()).
PolygonMinorAxisLength	Length of the path minor elliptic axis (call to Path::getMinorEllipticAxis()).
PolygonRectangularity	Polygon rectangularity (call to Path::getRectangularity()).
Size	Number of points on the path (call to Path::getSize()).

PathFilter

enum oevislib_net.Enums.PathFilter

Determines which paths to consider.

PathJoiningAngleMeasure

enum oevislib_net.Enums.PathJoiningAngleMeasure

Determines how to measure the angle between two jointed paths.

Enumerator
InputPathOrientation	The angle between the input paths' endings is taken.
OutputPathOrientation	The angle between the new output paths' joints is taken.

PathJoiningMethod

enum oevislib_net.Enums.PathJoiningMethod

Determines how to combine two paths (in the middle).

Enumerator
AddBridge	Adds a bridge (segment) connecting the two (closer) ends of the paths.
UniteEnds	Unites directly the ends of the paths.

PathSegmentationMode

enum oevislib_net.Enums.PathSegmentationMode

Describes how to segment a path.

Enumerator
SegmentsAndArcs	Segmented parts can be fitted to a segment or an arc.
Segments	Segmented parts will be straight segments only.

PatternFinder

enum oevislib_net.Enums.PatternFinder

Enumerator
Checkerboard	Corners finder from checkerboard.
CircleGrid	Circles finder from a grid of circles.
ChArUco	ChArUco finder from a ChArUco chessboard.

PixelType

enum oevislib_net.Enums.PixelType

Pixel type (how many bytes are used for each pixel).

Enumerator
UInt8	Values from 0 to 255.
Int8	Values from -127 to 128.
UInt16	Values from -32768 to 32767.
Int16	Values from 0 to 65535.
Int32	Values from -2147483648 to 2147483647.
Float	Floating point values.

PolarInterpolationMethod

enum oevislib_net.Enums.PolarInterpolationMethod

Possible pixel interpolation methods for polar transform.

Enumerator
Nearest	Nearest neighbor interpolation. Fastest method.
Linear	Bilinear interpolation.
Cubic	Bicubic interpolation.
Area	Resampling using pixel area relation.
Lanczos4	Lanczos interpolation over 8x8 neighborhood.

Polarity

enum oevislib_net.Enums.Polarity

Determines which pixel values to take. Used in edge detection operations.

Enumerator
Bright	Take only bright pixels (higher value).
Dark	Take only dark pixels (lower value).
Any	Both bright pixels and dark pixels are considered.

PolarizationAngle

enum oevislib_net.Enums.PolarizationAngle

Selects the light polarization angle.

PolarizationPattern

enum oevislib_net.Enums.PolarizationPattern

Grid layout of the polarization filter array.

Enumerator
_00	Pattern 90 – 45 / 135 – 0.
_01	Pattern 45 – 90 / 0 – 135.
_10	Pattern 135 – 0 / 90 – 45.
_11	Pattern 0 – 135 / 45 – 90.

PolarSpace

enum oevislib_net.Enums.PolarSpace

Image polar space.

Decides which formula to use, where parameters $ m $ and $ k $ are set to values that allow to fit the source image in the output image.

Enumerator
Polar	$ \rho = m \sqrt{x^2 + y^2}, \phi = \arctan(\frac{y}{x}) $
LogPolar	$ \rho = k \log \sqrt{x^2 + y^2}, \phi = \arctan(\frac{y}{x}) $

PolygonMoment

enum oevislib_net.Enums.PolygonMoment

Types of polygon moments, where $ p_x $ and $ p_y $ denotes x and y coordinate of a point $ p $.

Enumerator
_02	$ M_{2,0}(S) = \int_S p_x^2 $
_11	$ M_{1,1}(S) = \int_S p_x p_y $
_20	$ M_{0,2}(S) = \int_S p_y^2 $

ProfileResizeMethod

enum oevislib_net.Enums.ProfileResizeMethod

Interpolation methods when resizing a profile.

Enumerator
NearestNeighbour	Takes the corresponding nearest neighbor.
Linear	Linearly interpolates between profile's values distanced by step ( $ \frac{newSize}{oldSize} $). Values on range borders are preserved.

ProjectionCombination

enum oevislib_net.Enums.ProjectionCombination

Types of values' combinations when a projection is required (see Image::getProjection).

ProjectionDirection

enum oevislib_net.Enums.ProjectionDirection

Projection's directions.

RectangleCorner

enum oevislib_net.Enums.RectangleCorner

Corners of a rectangle (used in Rectangle2D::getCorner).

RectangleOrientation

enum oevislib_net.Enums.RectangleOrientation

Rectangle's possible orientations.

Enumerator
Horizontal	Rectangle's width is greater or equal to its height.
Vertical	Rectangle's height is greater or equal to its width.
Any	Any orientation is accepted.

RegionConnectivity

enum oevislib_net.Enums.RegionConnectivity

Defines how pixels are connected when merging regions.

Enumerator
EightDirections	All 8 pixels around the current one are considered.
FourDirections	Only top, down, left and right neighboring pixels are considered.

RegionFeature

enum oevislib_net.Enums.RegionFeature

Region features (used to compare regions).

Enumerator
Area	Total area of the region (call to Region::getArea()).
BoundingBoxBottom	Bottom position of region's bounding box (call to Region::getBoundingBox()).
BoundingBoxHeight	Height of region's bounding box (call to Region::getBoundingBox()).
BoundingBoxLeft	Left position of region's bounding box (call to Region::getBoundingBox()).
BoundingBoxRight	Right position of region's bounding box (call to Region::getBoundingBox()).
BoundingBoxTop	Top position of region's bounding box (call to Region::getBoundingBox()).
BoundingBoxWidth	Width of region's bounding box (call to Region::getBoundingBox()).
Circularity_BoundingCirclePreserving	Region's circularity computed with BoundingCirclePreserving method (call to Region::getCircularity()).
Circularity_PerimeterPreserving	Region's circularity computed with PerimeterPreserving method (call to Region::getCircularity()).
Circularity_RadiusPreserving	Region's circularity computed with RadiusPreserving method (call to Region::getCircularity()).
Convexity	Region's convexity (call to Region::getConvexity()).
DiameterLength	Length of region diameter (call to Region::getDiameter()).
Elongation	Region's elongation (call to Region::getElongation()).
MassCenterX	X coordinate of region's mass center (call to Region::getMassCenter()).
MassCenterY	Y coordinate of region's mass center (call to Region::getMassCenter()).
MajorAxisLength	Length of the region's major elliptic axis (call to Region::getMajorEllipticAxis()).
MinorAxisLength	Length of the region's minor elliptic axis (call to Region::getMinorEllipticAxis()).
NumberOfHoles_EightDirections	Number of region holes computed using EightDirections connectivity (call to Region::getHoles()).
NumberOfHoles_FourDirections	Number of region holes computed using FourDirections connectivity (call to Region::getHoles()).
PerimeterLength	Length or region perimeter (call to Region::getPerimeter()).
Rectangularity	Region's rectangularity (call to Region::getRectangularity()).

RegionMoment

enum oevislib_net.Enums.RegionMoment

Types of region moments, where $ p_x $ and $ p_y $ denote the x and y coordinate of a pixel $ p $.

Enumerator
_02	$ M_{2,0}(R) = \sum_{p \in R} p_x^2 $
_11	$ M_{1,1}(R) = \sum_{p \in R} p_x \cdot p_y $
_20	$ M_{0,2}(R) = \sum_{p \in R} p_y^2 $

RegionOuterBoundary

enum oevislib_net.Enums.RegionOuterBoundary

A region boundary is a collection of points that are not connected to other points in at least one direction.

Enumerator
Top	Points not connected to other points with lower y coordinate.
Right	Points not connected to other points with higher x coordinate.
Bottom	Points not connected to other points with higher y coordinate.
Left	Points not connected to other points with lower x coordinate.

ResizeMethod

enum oevislib_net.Enums.ResizeMethod

Interpolation methods used in Image::resize.

Enumerator
NearestNeighbour	The pixel is replaced by the nearest pixel in the source image.
Bilinear	The pixel is replaced by a weighted average of the closest pixels in the source image.
Area	The pixel is replaced by the average of the neighboring pixels in the source image.

RotationDirection

enum oevislib_net.Enums.RotationDirection

Rotation directions when operations including angle measuring or vector interpolation are considered.

RotationSize

enum oevislib_net.Enums.RotationSize

How an image is resized after a rotation (in Image::rotate).

Enumerator
Fit	Image is extended to fit the transformed image.
Preserve	Image's size is preserved (some parts on the resulting image will be empty).

SegmentationAlgorithm

enum oevislib_net.Enums.SegmentationAlgorithm

Methods for splitting text into single characters.

Enumerator
SimpleBlobs	Connects pixels with similar intensity values. Fast but sensitive to noise.
ProjectionAnalysis	Divides image into clusters based on the pixels in every projected column.
BlobsDistance	Segments the image based on the distance between the pixels. More robust to noise.

Selection

enum oevislib_net.Enums.Selection

Filter for selecting edges, ridges and stripes.

ShapeRegionType

enum oevislib_net.Enums.ShapeRegionType

Type of objects encapsulated inside a ShapeRegion.

Enumerator
Region	Region class.
Rectangle	Rectangle2D class.
Circle	Circle2D class.
Polygon	Path class.
Ring	Ring2D class.
Ellipse	Ellipse2D class.

ShearSize

enum oevislib_net.Enums.ShearSize

How an image is resized after a rotation (in Image::rotate).

Enumerator
Fit	Region frame is extended to fit the transformed image (but only if the extension is in the positive direction).
Preserve	Region's frame size is preserved (some parts on the resulting image will be empty).

ShiftDirection

enum oevislib_net.Enums.ShiftDirection

Directions in which path's points will be moved.

SortingOrder

enum oevislib_net.Enums.SortingOrder

Decides whether objects should be sorted in ascendant or descendant order.

SplitDirection

enum oevislib_net.Enums.SplitDirection

Directions in which a box or a rectangle will be split.

TensorDataType

enum oevislib_net.Enums.TensorDataType

Supported ONNX tensor element data types.

TextOrientation

enum oevislib_net.Enums.TextOrientation

Possible text orientations for OCR processing.

Enumerator
Vertical	Vertical.
Horizontal	Horizontal.

TextSplitLevel

enum oevislib_net.Enums.TextSplitLevel

Describes how the text inside an image will be split by ov::dl::readText.

Enumerator
Block	Split by block of text.
Paragraph	Split by paragraph within a block.
Line	Split by line within a paragraph.
Word	Split by word within a line.
Symbol	Split by symbol/character within a word.

ThresholdingAlgorithm

enum oevislib_net.Enums.ThresholdingAlgorithm

Thresholding algorithms used for text extraction (see ov::ocr::extractText).

Enumerator
Simple	Simple thresholding (using a min and max value).
Dynamic	Dynamic thresholding (based on the neighboring pixels).
Automatic	Automatic thresholding (based on a threshold value obtained with Image::findBestThresholdValue).

ThresholdSelectionMethod

enum oevislib_net.Enums.ThresholdSelectionMethod

Methods for automatic threshold value selection (see Image::findBestThresholdValue).

Enumerator
ClusteringKittler	The chosen value is the midpoint between the two clusters identified from the image histogram (distribution). Fast but can be sensitive to noise.
ClusteringKMeans	The chosen value is the midpoint between the two clusters identified using the K-means clustering on the image. More robust to noise than the previous one.
ClusteringOtsu	Chooses the threshold that maximizes the inter-class variance of the two clusters. Usually the most effective.
Entropy	Chooses the threshold that minimizes the entropy of the two clusters.
HistogramIntermodes	Assuming the image distribution is bimodal, smooths its histogram until there are only two local minima and returns the midpoint between the intermodes. Ideal for complex backgrounds or when there are multiple objects, but slower than the others.

TranslateAlignment

enum oevislib_net.Enums.TranslateAlignment

Defines how to use the coordinate system alignment in translation operations.

Enumerator
Absolute	Use the global coordinate system to make an absolute translation.
Relative	Use the local coordinate system to make a relative translation.

TrimPathMethod

enum oevislib_net.Enums.TrimPathMethod

Methods to trim a path.

Enumerator
PointToPoint	The outside part of the path is completely deleted.
AlongBoundary	The outside part of the path is projected along the boundary.

TurnAngleDirection

enum oevislib_net.Enums.TurnAngleDirection

Decides which turns to consider when computing path angles.