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- __all__: list[str] = []
- import cv2
- import cv2.typing
- import typing as _typing
- # Enumerations
- BLOCK_MEAN_HASH_MODE_0: int
- BLOCK_MEAN_HASH_MODE_1: int
- BlockMeanHashMode = int
- """One of [BLOCK_MEAN_HASH_MODE_0, BLOCK_MEAN_HASH_MODE_1]"""
- # Classes
- class AverageHash(ImgHashBase):
- # Functions
- @classmethod
- def create(cls) -> AverageHash: ...
- class ImgHashBase(cv2.Algorithm):
- # Functions
- @_typing.overload
- def compute(self, inputArr: cv2.typing.MatLike, outputArr: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
- @_typing.overload
- def compute(self, inputArr: cv2.UMat, outputArr: cv2.UMat | None = ...) -> cv2.UMat: ...
- @_typing.overload
- def compare(self, hashOne: cv2.typing.MatLike, hashTwo: cv2.typing.MatLike) -> float: ...
- @_typing.overload
- def compare(self, hashOne: cv2.UMat, hashTwo: cv2.UMat) -> float: ...
- class BlockMeanHash(ImgHashBase):
- # Functions
- def setMode(self, mode: int) -> None: ...
- def getMean(self) -> _typing.Sequence[float]: ...
- @classmethod
- def create(cls, mode: int = ...) -> BlockMeanHash: ...
- class ColorMomentHash(ImgHashBase):
- # Functions
- @classmethod
- def create(cls) -> ColorMomentHash: ...
- class MarrHildrethHash(ImgHashBase):
- # Functions
- def getAlpha(self) -> float: ...
- def getScale(self) -> float: ...
- def setKernelParam(self, alpha: float, scale: float) -> None: ...
- @classmethod
- def create(cls, alpha: float = ..., scale: float = ...) -> MarrHildrethHash: ...
- class PHash(ImgHashBase):
- # Functions
- @classmethod
- def create(cls) -> PHash: ...
- class RadialVarianceHash(ImgHashBase):
- # Functions
- @classmethod
- def create(cls, sigma: float = ..., numOfAngleLine: int = ...) -> RadialVarianceHash: ...
- def getNumOfAngleLine(self) -> int: ...
- def getSigma(self) -> float: ...
- def setNumOfAngleLine(self, value: int) -> None: ...
- def setSigma(self, value: float) -> None: ...
- # Functions
- @_typing.overload
- def averageHash(inputArr: cv2.typing.MatLike, outputArr: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
- @_typing.overload
- def averageHash(inputArr: cv2.UMat, outputArr: cv2.UMat | None = ...) -> cv2.UMat: ...
- @_typing.overload
- def blockMeanHash(inputArr: cv2.typing.MatLike, outputArr: cv2.typing.MatLike | None = ..., mode: int = ...) -> cv2.typing.MatLike: ...
- @_typing.overload
- def blockMeanHash(inputArr: cv2.UMat, outputArr: cv2.UMat | None = ..., mode: int = ...) -> cv2.UMat: ...
- @_typing.overload
- def colorMomentHash(inputArr: cv2.typing.MatLike, outputArr: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
- @_typing.overload
- def colorMomentHash(inputArr: cv2.UMat, outputArr: cv2.UMat | None = ...) -> cv2.UMat: ...
- @_typing.overload
- def marrHildrethHash(inputArr: cv2.typing.MatLike, outputArr: cv2.typing.MatLike | None = ..., alpha: float = ..., scale: float = ...) -> cv2.typing.MatLike: ...
- @_typing.overload
- def marrHildrethHash(inputArr: cv2.UMat, outputArr: cv2.UMat | None = ..., alpha: float = ..., scale: float = ...) -> cv2.UMat: ...
- @_typing.overload
- def pHash(inputArr: cv2.typing.MatLike, outputArr: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
- @_typing.overload
- def pHash(inputArr: cv2.UMat, outputArr: cv2.UMat | None = ...) -> cv2.UMat: ...
- @_typing.overload
- def radialVarianceHash(inputArr: cv2.typing.MatLike, outputArr: cv2.typing.MatLike | None = ..., sigma: float = ..., numOfAngleLine: int = ...) -> cv2.typing.MatLike: ...
- @_typing.overload
- def radialVarianceHash(inputArr: cv2.UMat, outputArr: cv2.UMat | None = ..., sigma: float = ..., numOfAngleLine: int = ...) -> cv2.UMat: ...
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