__all__: list[str] = [] import cv2 import cv2.typing import typing as _typing RgbdNormals_RGBD_NORMALS_METHOD_FALS: int RGBD_NORMALS_RGBD_NORMALS_METHOD_FALS: int RgbdNormals_RGBD_NORMALS_METHOD_LINEMOD: int RGBD_NORMALS_RGBD_NORMALS_METHOD_LINEMOD: int RgbdNormals_RGBD_NORMALS_METHOD_SRI: int RGBD_NORMALS_RGBD_NORMALS_METHOD_SRI: int RgbdNormals_RGBD_NORMALS_METHOD = int """One of [RgbdNormals_RGBD_NORMALS_METHOD_FALS, RGBD_NORMALS_RGBD_NORMALS_METHOD_FALS, RgbdNormals_RGBD_NORMALS_METHOD_LINEMOD, RGBD_NORMALS_RGBD_NORMALS_METHOD_LINEMOD, RgbdNormals_RGBD_NORMALS_METHOD_SRI, RGBD_NORMALS_RGBD_NORMALS_METHOD_SRI]""" DepthCleaner_DEPTH_CLEANER_NIL: int DEPTH_CLEANER_DEPTH_CLEANER_NIL: int DepthCleaner_DEPTH_CLEANER_METHOD = int """One of [DepthCleaner_DEPTH_CLEANER_NIL, DEPTH_CLEANER_DEPTH_CLEANER_NIL]""" RgbdPlane_RGBD_PLANE_METHOD_DEFAULT: int RGBD_PLANE_RGBD_PLANE_METHOD_DEFAULT: int RgbdPlane_RGBD_PLANE_METHOD = int """One of [RgbdPlane_RGBD_PLANE_METHOD_DEFAULT, RGBD_PLANE_RGBD_PLANE_METHOD_DEFAULT]""" OdometryFrame_CACHE_SRC: int ODOMETRY_FRAME_CACHE_SRC: int OdometryFrame_CACHE_DST: int ODOMETRY_FRAME_CACHE_DST: int OdometryFrame_CACHE_ALL: int ODOMETRY_FRAME_CACHE_ALL: int Odometry_ROTATION: int ODOMETRY_ROTATION: int Odometry_TRANSLATION: int ODOMETRY_TRANSLATION: int Odometry_RIGID_BODY_MOTION: int ODOMETRY_RIGID_BODY_MOTION: int # Classes class RgbdNormals(cv2.Algorithm): # Functions @classmethod @_typing.overload def create(cls, rows: int, cols: int, depth: int, K: cv2.typing.MatLike, window_size: int = ..., method: int = ...) -> RgbdNormals: ... @classmethod @_typing.overload def create(cls, rows: int, cols: int, depth: int, K: cv2.UMat, window_size: int = ..., method: int = ...) -> RgbdNormals: ... @_typing.overload def apply(self, points: cv2.typing.MatLike, normals: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def apply(self, points: cv2.UMat, normals: cv2.UMat | None = ...) -> cv2.UMat: ... def initialize(self) -> None: ... def getRows(self) -> int: ... def setRows(self, val: int) -> None: ... def getCols(self) -> int: ... def setCols(self, val: int) -> None: ... def getWindowSize(self) -> int: ... def setWindowSize(self, val: int) -> None: ... def getDepth(self) -> int: ... def setDepth(self, val: int) -> None: ... def getK(self) -> cv2.typing.MatLike: ... def setK(self, val: cv2.typing.MatLike) -> None: ... def getMethod(self) -> int: ... def setMethod(self, val: int) -> None: ... class DepthCleaner(cv2.Algorithm): # Functions @classmethod def create(cls, depth: int, window_size: int = ..., method: int = ...) -> DepthCleaner: ... @_typing.overload def apply(self, points: cv2.typing.MatLike, depth: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def apply(self, points: cv2.UMat, depth: cv2.UMat | None = ...) -> cv2.UMat: ... def initialize(self) -> None: ... def getWindowSize(self) -> int: ... def setWindowSize(self, val: int) -> None: ... def getDepth(self) -> int: ... def setDepth(self, val: int) -> None: ... def getMethod(self) -> int: ... def setMethod(self, val: int) -> None: ... class RgbdPlane(cv2.Algorithm): # Functions @classmethod def create(cls, method: int, block_size: int, min_size: int, threshold: float, sensor_error_a: float = ..., sensor_error_b: float = ..., sensor_error_c: float = ...) -> RgbdPlane: ... @_typing.overload def apply(self, points3d: cv2.typing.MatLike, normals: cv2.typing.MatLike, mask: cv2.typing.MatLike | None = ..., plane_coefficients: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def apply(self, points3d: cv2.UMat, normals: cv2.UMat, mask: cv2.UMat | None = ..., plane_coefficients: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat]: ... @_typing.overload def apply(self, points3d: cv2.typing.MatLike, mask: cv2.typing.MatLike | None = ..., plane_coefficients: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def apply(self, points3d: cv2.UMat, mask: cv2.UMat | None = ..., plane_coefficients: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat]: ... def getBlockSize(self) -> int: ... def setBlockSize(self, val: int) -> None: ... def getMinSize(self) -> int: ... def setMinSize(self, val: int) -> None: ... def getMethod(self) -> int: ... def setMethod(self, val: int) -> None: ... def getThreshold(self) -> float: ... def setThreshold(self, val: float) -> None: ... def getSensorErrorA(self) -> float: ... def setSensorErrorA(self, val: float) -> None: ... def getSensorErrorB(self) -> float: ... def setSensorErrorB(self, val: float) -> None: ... def getSensorErrorC(self) -> float: ... def setSensorErrorC(self, val: float) -> None: ... class RgbdFrame: @property def ID(self) -> int: ... @property def image(self) -> cv2.typing.MatLike: ... @property def depth(self) -> cv2.typing.MatLike: ... @property def mask(self) -> cv2.typing.MatLike: ... @property def normals(self) -> cv2.typing.MatLike: ... # Functions @classmethod def create(cls, image: cv2.typing.MatLike | None = ..., depth: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., normals: cv2.typing.MatLike | None = ..., ID: int = ...) -> RgbdFrame: ... def release(self) -> None: ... class OdometryFrame(RgbdFrame): @property def pyramidImage(self) -> _typing.Sequence[cv2.typing.MatLike]: ... @property def pyramidDepth(self) -> _typing.Sequence[cv2.typing.MatLike]: ... @property def pyramidMask(self) -> _typing.Sequence[cv2.typing.MatLike]: ... @property def pyramidCloud(self) -> _typing.Sequence[cv2.typing.MatLike]: ... @property def pyramid_dI_dx(self) -> _typing.Sequence[cv2.typing.MatLike]: ... @property def pyramid_dI_dy(self) -> _typing.Sequence[cv2.typing.MatLike]: ... @property def pyramidTexturedMask(self) -> _typing.Sequence[cv2.typing.MatLike]: ... @property def pyramidNormals(self) -> _typing.Sequence[cv2.typing.MatLike]: ... @property def pyramidNormalsMask(self) -> _typing.Sequence[cv2.typing.MatLike]: ... # Functions @classmethod def create(cls, image: cv2.typing.MatLike | None = ..., depth: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ..., normals: cv2.typing.MatLike | None = ..., ID: int = ...) -> OdometryFrame: ... def release(self) -> None: ... def releasePyramids(self) -> None: ... class Odometry(cv2.Algorithm): # Functions def DEFAULT_MIN_DEPTH(self) -> float: ... def DEFAULT_MAX_DEPTH(self) -> float: ... def DEFAULT_MAX_DEPTH_DIFF(self) -> float: ... def DEFAULT_MAX_POINTS_PART(self) -> float: ... def DEFAULT_MAX_TRANSLATION(self) -> float: ... def DEFAULT_MAX_ROTATION(self) -> float: ... @_typing.overload def compute(self, srcImage: cv2.typing.MatLike, srcDepth: cv2.typing.MatLike, srcMask: cv2.typing.MatLike, dstImage: cv2.typing.MatLike, dstDepth: cv2.typing.MatLike, dstMask: cv2.typing.MatLike, Rt: cv2.typing.MatLike | None = ..., initRt: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.typing.MatLike]: ... @_typing.overload def compute(self, srcImage: cv2.typing.MatLike, srcDepth: cv2.typing.MatLike, srcMask: cv2.typing.MatLike, dstImage: cv2.typing.MatLike, dstDepth: cv2.typing.MatLike, dstMask: cv2.typing.MatLike, Rt: cv2.UMat | None = ..., initRt: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.UMat]: ... @_typing.overload def compute2(self, srcFrame: OdometryFrame, dstFrame: OdometryFrame, Rt: cv2.typing.MatLike | None = ..., initRt: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.typing.MatLike]: ... @_typing.overload def compute2(self, srcFrame: OdometryFrame, dstFrame: OdometryFrame, Rt: cv2.UMat | None = ..., initRt: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.UMat]: ... def prepareFrameCache(self, frame: OdometryFrame, cacheType: int) -> cv2.typing.Size: ... @classmethod def create(cls, odometryType: str) -> Odometry: ... def getCameraMatrix(self) -> cv2.typing.MatLike: ... def setCameraMatrix(self, val: cv2.typing.MatLike) -> None: ... def getTransformType(self) -> int: ... def setTransformType(self, val: int) -> None: ... class RgbdOdometry(Odometry): # Functions @classmethod def create(cls, cameraMatrix: cv2.typing.MatLike | None = ..., minDepth: float = ..., maxDepth: float = ..., maxDepthDiff: float = ..., iterCounts: _typing.Sequence[int] = ..., minGradientMagnitudes: _typing.Sequence[float] = ..., maxPointsPart: float = ..., transformType: int = ...) -> RgbdOdometry: ... def prepareFrameCache(self, frame: OdometryFrame, cacheType: int) -> cv2.typing.Size: ... def getCameraMatrix(self) -> cv2.typing.MatLike: ... def setCameraMatrix(self, val: cv2.typing.MatLike) -> None: ... def getMinDepth(self) -> float: ... def setMinDepth(self, val: float) -> None: ... def getMaxDepth(self) -> float: ... def setMaxDepth(self, val: float) -> None: ... def getMaxDepthDiff(self) -> float: ... def setMaxDepthDiff(self, val: float) -> None: ... def getIterationCounts(self) -> cv2.typing.MatLike: ... def setIterationCounts(self, val: cv2.typing.MatLike) -> None: ... def getMinGradientMagnitudes(self) -> cv2.typing.MatLike: ... def setMinGradientMagnitudes(self, val: cv2.typing.MatLike) -> None: ... def getMaxPointsPart(self) -> float: ... def setMaxPointsPart(self, val: float) -> None: ... def getTransformType(self) -> int: ... def setTransformType(self, val: int) -> None: ... def getMaxTranslation(self) -> float: ... def setMaxTranslation(self, val: float) -> None: ... def getMaxRotation(self) -> float: ... def setMaxRotation(self, val: float) -> None: ... class ICPOdometry(Odometry): # Functions @classmethod def create(cls, cameraMatrix: cv2.typing.MatLike | None = ..., minDepth: float = ..., maxDepth: float = ..., maxDepthDiff: float = ..., maxPointsPart: float = ..., iterCounts: _typing.Sequence[int] = ..., transformType: int = ...) -> ICPOdometry: ... def prepareFrameCache(self, frame: OdometryFrame, cacheType: int) -> cv2.typing.Size: ... def getCameraMatrix(self) -> cv2.typing.MatLike: ... def setCameraMatrix(self, val: cv2.typing.MatLike) -> None: ... def getMinDepth(self) -> float: ... def setMinDepth(self, val: float) -> None: ... def getMaxDepth(self) -> float: ... def setMaxDepth(self, val: float) -> None: ... def getMaxDepthDiff(self) -> float: ... def setMaxDepthDiff(self, val: float) -> None: ... def getIterationCounts(self) -> cv2.typing.MatLike: ... def setIterationCounts(self, val: cv2.typing.MatLike) -> None: ... def getMaxPointsPart(self) -> float: ... def setMaxPointsPart(self, val: float) -> None: ... def getTransformType(self) -> int: ... def setTransformType(self, val: int) -> None: ... def getMaxTranslation(self) -> float: ... def setMaxTranslation(self, val: float) -> None: ... def getMaxRotation(self) -> float: ... def setMaxRotation(self, val: float) -> None: ... def getNormalsComputer(self) -> RgbdNormals: ... class RgbdICPOdometry(Odometry): # Functions @classmethod def create(cls, cameraMatrix: cv2.typing.MatLike | None = ..., minDepth: float = ..., maxDepth: float = ..., maxDepthDiff: float = ..., maxPointsPart: float = ..., iterCounts: _typing.Sequence[int] = ..., minGradientMagnitudes: _typing.Sequence[float] = ..., transformType: int = ...) -> RgbdICPOdometry: ... def prepareFrameCache(self, frame: OdometryFrame, cacheType: int) -> cv2.typing.Size: ... def getCameraMatrix(self) -> cv2.typing.MatLike: ... def setCameraMatrix(self, val: cv2.typing.MatLike) -> None: ... def getMinDepth(self) -> float: ... def setMinDepth(self, val: float) -> None: ... def getMaxDepth(self) -> float: ... def setMaxDepth(self, val: float) -> None: ... def getMaxDepthDiff(self) -> float: ... def setMaxDepthDiff(self, val: float) -> None: ... def getMaxPointsPart(self) -> float: ... def setMaxPointsPart(self, val: float) -> None: ... def getIterationCounts(self) -> cv2.typing.MatLike: ... def setIterationCounts(self, val: cv2.typing.MatLike) -> None: ... def getMinGradientMagnitudes(self) -> cv2.typing.MatLike: ... def setMinGradientMagnitudes(self, val: cv2.typing.MatLike) -> None: ... def getTransformType(self) -> int: ... def setTransformType(self, val: int) -> None: ... def getMaxTranslation(self) -> float: ... def setMaxTranslation(self, val: float) -> None: ... def getMaxRotation(self) -> float: ... def setMaxRotation(self, val: float) -> None: ... def getNormalsComputer(self) -> RgbdNormals: ... class FastICPOdometry(Odometry): # Functions @classmethod def create(cls, cameraMatrix: cv2.typing.MatLike, maxDistDiff: float = ..., angleThreshold: float = ..., sigmaDepth: float = ..., sigmaSpatial: float = ..., kernelSize: int = ..., iterCounts: _typing.Sequence[int] = ...) -> FastICPOdometry: ... def prepareFrameCache(self, frame: OdometryFrame, cacheType: int) -> cv2.typing.Size: ... def getCameraMatrix(self) -> cv2.typing.MatLike: ... def setCameraMatrix(self, val: cv2.typing.MatLike) -> None: ... def getMaxDistDiff(self) -> float: ... def setMaxDistDiff(self, val: float) -> None: ... def getAngleThreshold(self) -> float: ... def setAngleThreshold(self, f: float) -> None: ... def getSigmaDepth(self) -> float: ... def setSigmaDepth(self, f: float) -> None: ... def getSigmaSpatial(self) -> float: ... def setSigmaSpatial(self, f: float) -> None: ... def getKernelSize(self) -> int: ... def setKernelSize(self, f: int) -> None: ... def getIterationCounts(self) -> cv2.typing.MatLike: ... def setIterationCounts(self, val: cv2.typing.MatLike) -> None: ... def getTransformType(self) -> int: ... def setTransformType(self, val: int) -> None: ... # Functions @_typing.overload def depthTo3d(depth: cv2.typing.MatLike, K: cv2.typing.MatLike, points3d: cv2.typing.MatLike | None = ..., mask: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def depthTo3d(depth: cv2.UMat, K: cv2.UMat, points3d: cv2.UMat | None = ..., mask: cv2.UMat | None = ...) -> cv2.UMat: ... @_typing.overload def depthTo3dSparse(depth: cv2.typing.MatLike, in_K: cv2.typing.MatLike, in_points: cv2.typing.MatLike, points3d: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ... @_typing.overload def depthTo3dSparse(depth: cv2.UMat, in_K: cv2.UMat, in_points: cv2.UMat, points3d: cv2.UMat | None = ...) -> cv2.UMat: ... @_typing.overload def registerDepth(unregisteredCameraMatrix: cv2.typing.MatLike, registeredCameraMatrix: cv2.typing.MatLike, registeredDistCoeffs: cv2.typing.MatLike, Rt: cv2.typing.MatLike, unregisteredDepth: cv2.typing.MatLike, outputImagePlaneSize: cv2.typing.Size, registeredDepth: cv2.typing.MatLike | None = ..., depthDilation: bool = ...) -> cv2.typing.MatLike: ... @_typing.overload def registerDepth(unregisteredCameraMatrix: cv2.UMat, registeredCameraMatrix: cv2.UMat, registeredDistCoeffs: cv2.UMat, Rt: cv2.UMat, unregisteredDepth: cv2.UMat, outputImagePlaneSize: cv2.typing.Size, registeredDepth: cv2.UMat | None = ..., depthDilation: bool = ...) -> cv2.UMat: ... @_typing.overload def rescaleDepth(in_: cv2.typing.MatLike, depth: int, out: cv2.typing.MatLike | None = ..., depth_factor: float = ...) -> cv2.typing.MatLike: ... @_typing.overload def rescaleDepth(in_: cv2.UMat, depth: int, out: cv2.UMat | None = ..., depth_factor: float = ...) -> cv2.UMat: ... @_typing.overload def warpFrame(image: cv2.typing.MatLike, depth: cv2.typing.MatLike, mask: cv2.typing.MatLike, Rt: cv2.typing.MatLike, cameraMatrix: cv2.typing.MatLike, distCoeff: cv2.typing.MatLike, warpedImage: cv2.typing.MatLike | None = ..., warpedDepth: cv2.typing.MatLike | None = ..., warpedMask: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike, cv2.typing.MatLike]: ... @_typing.overload def warpFrame(image: cv2.typing.MatLike, depth: cv2.typing.MatLike, mask: cv2.typing.MatLike, Rt: cv2.typing.MatLike, cameraMatrix: cv2.typing.MatLike, distCoeff: cv2.typing.MatLike, warpedImage: cv2.UMat | None = ..., warpedDepth: cv2.UMat | None = ..., warpedMask: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat, cv2.UMat]: ...