initial

venv/lib/python3.12/site-packages/cv2/img_hash/__init__.pyi

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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: ...
+
+