| __all__: list[str] = [] |
|
|
| import cv2 |
| import cv2.typing |
| import typing as _typing |
|
|
|
|
| |
| 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]""" |
|
|
|
|
|
|
| |
| class Board: |
| |
| @_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): |
| |
| @_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): |
| |
| @_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 |
|
|
| |
| 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 |
|
|
| |
| 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): |
| |
| 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 |
|
|
| |
| @_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 |
|
|
| |
| def __init__(self) -> None: ... |
|
|
|
|
| class CharucoDetector(cv2.Algorithm): |
| |
| 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]: ... |
|
|
|
|
|
|
| |
| @_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: ... |
|
|
|
|
|
|
