__all__: list[str] = [] import cv2 import cv2.typing import typing as _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 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 DetectorParameters: adaptiveThreshWinSizeMin: int adaptiveThreshWinSizeMax: int adaptiveThreshWinSizeStep: int adaptiveThreshConstant: float minMarkerPerimeterRate: float maxMarkerPerimeterRate: float polygonalApproxAccuracyRate: float minCornerDistanceRate: float minDistanceToBorder: int minMarkerDistanceRate: float minGroupDistance: float cornerRefinementMethod: int cornerRefinementWinSize: int relativeCornerRefinmentWinSize: float 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 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 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 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: ...