__all__: list[str] = [] import cv2.typing # Enumerations CV_SPECKLE_REMOVAL_ALGORITHM: int CV_SPECKLE_REMOVAL_AVG_ALGORITHM: int CV_QUADRATIC_INTERPOLATION: int CV_SIMETRICV_INTERPOLATION: int CV_DENSE_CENSUS: int CV_SPARSE_CENSUS: int CV_CS_CENSUS: int CV_MODIFIED_CS_CENSUS: int CV_MODIFIED_CENSUS_TRANSFORM: int CV_MEAN_VARIATION: int CV_STAR_KERNEL: int StereoMatcher_DISP_SHIFT: int STEREO_MATCHER_DISP_SHIFT: int StereoMatcher_DISP_SCALE: int STEREO_MATCHER_DISP_SCALE: int StereoBinaryBM_PREFILTER_NORMALIZED_RESPONSE: int STEREO_BINARY_BM_PREFILTER_NORMALIZED_RESPONSE: int StereoBinaryBM_PREFILTER_XSOBEL: int STEREO_BINARY_BM_PREFILTER_XSOBEL: int StereoBinarySGBM_MODE_SGBM: int STEREO_BINARY_SGBM_MODE_SGBM: int StereoBinarySGBM_MODE_HH: int STEREO_BINARY_SGBM_MODE_HH: int # Classes class MatchQuasiDense: p0: cv2.typing.Point2i p1: cv2.typing.Point2i corr: float # Functions def __init__(self) -> None: ... def apply(self, rhs: MatchQuasiDense) -> bool: ... class PropagationParameters: corrWinSizeX: int corrWinSizeY: int borderX: int borderY: int correlationThreshold: float textrureThreshold: float neighborhoodSize: int disparityGradient: int lkTemplateSize: int lkPyrLvl: int lkTermParam1: int lkTermParam2: float gftQualityThres: float gftMinSeperationDist: int gftMaxNumFeatures: int class QuasiDenseStereo: Param: PropagationParameters # Functions def loadParameters(self, filepath: str) -> int: ... def saveParameters(self, filepath: str) -> int: ... def getSparseMatches(self) -> _typing.Sequence[MatchQuasiDense]: ... def getDenseMatches(self) -> _typing.Sequence[MatchQuasiDense]: ... def process(self, imgLeft: cv2.typing.MatLike, imgRight: cv2.typing.MatLike) -> None: ... def getMatch(self, x: int, y: int) -> cv2.typing.Point2f: ... def getDisparity(self) -> cv2.typing.MatLike: ... @classmethod def create(cls, monoImgSize: cv2.typing.Size, paramFilepath: str = ...) -> QuasiDenseStereo: ...