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import cv2
import cv2.typing
import typing
# Enumerations
CORNER_REFINE_NONE: int
CORNER_REFINE_SUBPIX: int
CORNER_REFINE_CONTOUR: int
CORNER_REFINE_APRILTAG: int
CornerRefineMethod = int
"""One of [CORNER_REFINE_NONE, CORNER_REFINE_SUBPIX, CORNER_REFINE_CONTOUR, CORNER_REFINE_APRILTAG]"""
DICT_4X4_50: int
DICT_4X4_100: int
DICT_4X4_250: int
DICT_4X4_1000: int
DICT_5X5_50: int
DICT_5X5_100: int
DICT_5X5_250: int
DICT_5X5_1000: int
DICT_6X6_50: int
DICT_6X6_100: int
DICT_6X6_250: int
DICT_6X6_1000: int
DICT_7X7_50: int
DICT_7X7_100: int
DICT_7X7_250: int
DICT_7X7_1000: int
DICT_ARUCO_ORIGINAL: int
DICT_APRILTAG_16h5: int
DICT_APRILTAG_16H5: int
DICT_APRILTAG_25h9: int
DICT_APRILTAG_25H9: int
DICT_APRILTAG_36h10: int
DICT_APRILTAG_36H10: int
DICT_APRILTAG_36h11: int
DICT_APRILTAG_36H11: int
DICT_ARUCO_MIP_36h12: int
DICT_ARUCO_MIP_36H12: int
PredefinedDictionaryType = int
"""One of [DICT_4X4_50, DICT_4X4_100, DICT_4X4_250, DICT_4X4_1000, DICT_5X5_50, DICT_5X5_100, DICT_5X5_250, DICT_5X5_1000, DICT_6X6_50, DICT_6X6_100, DICT_6X6_250, DICT_6X6_1000, DICT_7X7_50, DICT_7X7_100, DICT_7X7_250, DICT_7X7_1000, DICT_ARUCO_ORIGINAL, DICT_APRILTAG_16h5, DICT_APRILTAG_16H5, DICT_APRILTAG_25h9, DICT_APRILTAG_25H9, DICT_APRILTAG_36h10, DICT_APRILTAG_36H10, DICT_APRILTAG_36h11, DICT_APRILTAG_36H11, DICT_ARUCO_MIP_36h12, DICT_ARUCO_MIP_36H12]"""
# Classes
class Board:
# Functions
@typing.overload
def __init__(self, objPoints: typing.Sequence[cv2.typing.MatLike], dictionary: Dictionary, ids: cv2.typing.MatLike) -> None: ...
@typing.overload
def __init__(self, objPoints: typing.Sequence[cv2.UMat], dictionary: Dictionary, ids: cv2.UMat) -> None: ...
def getDictionary(self) -> Dictionary: ...
def getObjPoints(self) -> typing.Sequence[typing.Sequence[cv2.typing.Point3f]]: ...
def getIds(self) -> typing.Sequence[int]: ...
def getRightBottomCorner(self) -> cv2.typing.Point3f: ...
@typing.overload
def matchImagePoints(self, detectedCorners: typing.Sequence[cv2.typing.MatLike], detectedIds: cv2.typing.MatLike, objPoints: cv2.typing.MatLike | None = ..., imgPoints: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
@typing.overload
def matchImagePoints(self, detectedCorners: typing.Sequence[cv2.UMat], detectedIds: cv2.UMat, objPoints: cv2.UMat | None = ..., imgPoints: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat]: ...
@typing.overload
def generateImage(self, outSize: cv2.typing.Size, img: cv2.typing.MatLike | None = ..., marginSize: int = ..., borderBits: int = ...) -> cv2.typing.MatLike: ...
@typing.overload
def generateImage(self, outSize: cv2.typing.Size, img: cv2.UMat | None = ..., marginSize: int = ..., borderBits: int = ...) -> cv2.UMat: ...
class DetectorParameters:
adaptiveThreshWinSizeMin: int
adaptiveThreshWinSizeMax: int
adaptiveThreshWinSizeStep: int
adaptiveThreshConstant: float
minMarkerPerimeterRate: float
maxMarkerPerimeterRate: float
polygonalApproxAccuracyRate: float
minCornerDistanceRate: float
minDistanceToBorder: int
minMarkerDistanceRate: float
cornerRefinementMethod: int
cornerRefinementWinSize: int
cornerRefinementMaxIterations: int
cornerRefinementMinAccuracy: float
markerBorderBits: int
perspectiveRemovePixelPerCell: int
perspectiveRemoveIgnoredMarginPerCell: float
maxErroneousBitsInBorderRate: float
minOtsuStdDev: float
errorCorrectionRate: float
aprilTagQuadDecimate: float
aprilTagQuadSigma: float
aprilTagMinClusterPixels: int
aprilTagMaxNmaxima: int
aprilTagCriticalRad: float
aprilTagMaxLineFitMse: float
aprilTagMinWhiteBlackDiff: int
aprilTagDeglitch: int
detectInvertedMarker: bool
useAruco3Detection: bool
minSideLengthCanonicalImg: int
minMarkerLengthRatioOriginalImg: float
# Functions
def __init__(self) -> None: ...
def readDetectorParameters(self, fn: cv2.FileNode) -> bool: ...
def writeDetectorParameters(self, fs: cv2.FileStorage, name: str = ...) -> bool: ...
class RefineParameters:
minRepDistance: float
errorCorrectionRate: float
checkAllOrders: bool
# Functions
def __init__(self, minRepDistance: float = ..., errorCorrectionRate: float = ..., checkAllOrders: bool = ...) -> None: ...
def readRefineParameters(self, fn: cv2.FileNode) -> bool: ...
def writeRefineParameters(self, fs: cv2.FileStorage, name: str = ...) -> bool: ...
class Dictionary:
bytesList: cv2.typing.MatLike
markerSize: int
maxCorrectionBits: int
# Functions
@typing.overload
def __init__(self) -> None: ...
@typing.overload
def __init__(self, bytesList: cv2.typing.MatLike, _markerSize: int, maxcorr: int = ...) -> None: ...
def readDictionary(self, fn: cv2.FileNode) -> bool: ...
def writeDictionary(self, fs: cv2.FileStorage, name: str = ...) -> None: ...
def identify(self, onlyBits: cv2.typing.MatLike, maxCorrectionRate: float) -> tuple[bool, int, int]: ...
@typing.overload
def getDistanceToId(self, bits: cv2.typing.MatLike, id: int, allRotations: bool = ...) -> int: ...
@typing.overload
def getDistanceToId(self, bits: cv2.UMat, id: int, allRotations: bool = ...) -> int: ...
@typing.overload
def generateImageMarker(self, id: int, sidePixels: int, _img: cv2.typing.MatLike | None = ..., borderBits: int = ...) -> cv2.typing.MatLike: ...
@typing.overload
def generateImageMarker(self, id: int, sidePixels: int, _img: cv2.UMat | None = ..., borderBits: int = ...) -> cv2.UMat: ...
@staticmethod
def getByteListFromBits(bits: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
@staticmethod
def getBitsFromByteList(byteList: cv2.typing.MatLike, markerSize: int) -> cv2.typing.MatLike: ...
class CharucoParameters:
cameraMatrix: cv2.typing.MatLike
distCoeffs: cv2.typing.MatLike
minMarkers: int
tryRefineMarkers: bool
# Functions
def __init__(self) -> None: ...
class GridBoard(Board):
# Functions
@typing.overload
def __init__(self, size: cv2.typing.Size, markerLength: float, markerSeparation: float, dictionary: Dictionary, ids: cv2.typing.MatLike | None = ...) -> None: ...
@typing.overload
def __init__(self, size: cv2.typing.Size, markerLength: float, markerSeparation: float, dictionary: Dictionary, ids: cv2.UMat | None = ...) -> None: ...
def getGridSize(self) -> cv2.typing.Size: ...
def getMarkerLength(self) -> float: ...
def getMarkerSeparation(self) -> float: ...
class CharucoBoard(Board):
# Functions
@typing.overload
def __init__(self, size: cv2.typing.Size, squareLength: float, markerLength: float, dictionary: Dictionary, ids: cv2.typing.MatLike | None = ...) -> None: ...
@typing.overload
def __init__(self, size: cv2.typing.Size, squareLength: float, markerLength: float, dictionary: Dictionary, ids: cv2.UMat | None = ...) -> None: ...
def setLegacyPattern(self, legacyPattern: bool) -> None: ...
def getLegacyPattern(self) -> bool: ...
def getChessboardSize(self) -> cv2.typing.Size: ...
def getSquareLength(self) -> float: ...
def getMarkerLength(self) -> float: ...
def getChessboardCorners(self) -> typing.Sequence[cv2.typing.Point3f]: ...
@typing.overload
def checkCharucoCornersCollinear(self, charucoIds: cv2.typing.MatLike) -> bool: ...
@typing.overload
def checkCharucoCornersCollinear(self, charucoIds: cv2.UMat) -> bool: ...
class ArucoDetector(cv2.Algorithm):
# Functions
def __init__(self, dictionary: Dictionary = ..., detectorParams: DetectorParameters = ..., refineParams: RefineParameters = ...) -> None: ...
@typing.overload
def detectMarkers(self, image: cv2.typing.MatLike, corners: typing.Sequence[cv2.typing.MatLike] | None = ..., ids: cv2.typing.MatLike | None = ..., rejectedImgPoints: typing.Sequence[cv2.typing.MatLike] | None = ...) -> tuple[typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike, typing.Sequence[cv2.typing.MatLike]]: ...
@typing.overload
def detectMarkers(self, image: cv2.UMat, corners: typing.Sequence[cv2.UMat] | None = ..., ids: cv2.UMat | None = ..., rejectedImgPoints: typing.Sequence[cv2.UMat] | None = ...) -> tuple[typing.Sequence[cv2.UMat], cv2.UMat, typing.Sequence[cv2.UMat]]: ...
@typing.overload
def refineDetectedMarkers(self, image: cv2.typing.MatLike, board: Board, detectedCorners: typing.Sequence[cv2.typing.MatLike], detectedIds: cv2.typing.MatLike, rejectedCorners: typing.Sequence[cv2.typing.MatLike], cameraMatrix: cv2.typing.MatLike | None = ..., distCoeffs: cv2.typing.MatLike | None = ..., recoveredIdxs: cv2.typing.MatLike | None = ...) -> tuple[typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike, typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike]: ...
@typing.overload
def refineDetectedMarkers(self, image: cv2.UMat, board: Board, detectedCorners: typing.Sequence[cv2.UMat], detectedIds: cv2.UMat, rejectedCorners: typing.Sequence[cv2.UMat], cameraMatrix: cv2.UMat | None = ..., distCoeffs: cv2.UMat | None = ..., recoveredIdxs: cv2.UMat | None = ...) -> tuple[typing.Sequence[cv2.UMat], cv2.UMat, typing.Sequence[cv2.UMat], cv2.UMat]: ...
def getDictionary(self) -> Dictionary: ...
def setDictionary(self, dictionary: Dictionary) -> None: ...
def getDetectorParameters(self) -> DetectorParameters: ...
def setDetectorParameters(self, detectorParameters: DetectorParameters) -> None: ...
def getRefineParameters(self) -> RefineParameters: ...
def setRefineParameters(self, refineParameters: RefineParameters) -> None: ...
def write(self, fs: cv2.FileStorage, name: str) -> None: ...
def read(self, fn: cv2.FileNode) -> None: ...
class CharucoDetector(cv2.Algorithm):
# Functions
def __init__(self, board: CharucoBoard, charucoParams: CharucoParameters = ..., detectorParams: DetectorParameters = ..., refineParams: RefineParameters = ...) -> None: ...
def getBoard(self) -> CharucoBoard: ...
def setBoard(self, board: CharucoBoard) -> None: ...
def getCharucoParameters(self) -> CharucoParameters: ...
def setCharucoParameters(self, charucoParameters: CharucoParameters) -> None: ...
def getDetectorParameters(self) -> DetectorParameters: ...
def setDetectorParameters(self, detectorParameters: DetectorParameters) -> None: ...
def getRefineParameters(self) -> RefineParameters: ...
def setRefineParameters(self, refineParameters: RefineParameters) -> None: ...
@typing.overload
def detectBoard(self, image: cv2.typing.MatLike, charucoCorners: cv2.typing.MatLike | None = ..., charucoIds: cv2.typing.MatLike | None = ..., markerCorners: typing.Sequence[cv2.typing.MatLike] | None = ..., markerIds: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike, typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike]: ...
@typing.overload
def detectBoard(self, image: cv2.UMat, charucoCorners: cv2.UMat | None = ..., charucoIds: cv2.UMat | None = ..., markerCorners: typing.Sequence[cv2.UMat] | None = ..., markerIds: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat, typing.Sequence[cv2.UMat], cv2.UMat]: ...
@typing.overload
def detectDiamonds(self, image: cv2.typing.MatLike, diamondCorners: typing.Sequence[cv2.typing.MatLike] | None = ..., diamondIds: cv2.typing.MatLike | None = ..., markerCorners: typing.Sequence[cv2.typing.MatLike] | None = ..., markerIds: cv2.typing.MatLike | None = ...) -> tuple[typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike, typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike]: ...
@typing.overload
def detectDiamonds(self, image: cv2.UMat, diamondCorners: typing.Sequence[cv2.UMat] | None = ..., diamondIds: cv2.UMat | None = ..., markerCorners: typing.Sequence[cv2.UMat] | None = ..., markerIds: cv2.UMat | None = ...) -> tuple[typing.Sequence[cv2.UMat], cv2.UMat, typing.Sequence[cv2.UMat], cv2.UMat]: ...
# Functions
@typing.overload
def drawDetectedCornersCharuco(image: cv2.typing.MatLike, charucoCorners: cv2.typing.MatLike, charucoIds: cv2.typing.MatLike | None = ..., cornerColor: cv2.typing.Scalar = ...) -> cv2.typing.MatLike: ...
@typing.overload
def drawDetectedCornersCharuco(image: cv2.UMat, charucoCorners: cv2.UMat, charucoIds: cv2.UMat | None = ..., cornerColor: cv2.typing.Scalar = ...) -> cv2.UMat: ...
@typing.overload
def drawDetectedDiamonds(image: cv2.typing.MatLike, diamondCorners: typing.Sequence[cv2.typing.MatLike], diamondIds: cv2.typing.MatLike | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.typing.MatLike: ...
@typing.overload
def drawDetectedDiamonds(image: cv2.UMat, diamondCorners: typing.Sequence[cv2.UMat], diamondIds: cv2.UMat | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.UMat: ...
@typing.overload
def drawDetectedMarkers(image: cv2.typing.MatLike, corners: typing.Sequence[cv2.typing.MatLike], ids: cv2.typing.MatLike | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.typing.MatLike: ...
@typing.overload
def drawDetectedMarkers(image: cv2.UMat, corners: typing.Sequence[cv2.UMat], ids: cv2.UMat | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.UMat: ...
def extendDictionary(nMarkers: int, markerSize: int, baseDictionary: Dictionary = ..., randomSeed: int = ...) -> Dictionary: ...
@typing.overload
def generateImageMarker(dictionary: Dictionary, id: int, sidePixels: int, img: cv2.typing.MatLike | None = ..., borderBits: int = ...) -> cv2.typing.MatLike: ...
@typing.overload
def generateImageMarker(dictionary: Dictionary, id: int, sidePixels: int, img: cv2.UMat | None = ..., borderBits: int = ...) -> cv2.UMat: ...
def getPredefinedDictionary(dict: int) -> Dictionary: ...
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