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

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+__all__: list[str] = []
+
+import cv2
+import cv2.typing
+import typing as _typing
+
+
+# Classes
+class Saliency(cv2.Algorithm):
+    # Functions
+    @_typing.overload
+    def computeSaliency(self, image: cv2.typing.MatLike, saliencyMap: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def computeSaliency(self, image: cv2.UMat, saliencyMap: cv2.UMat | None = ...) -> tuple[bool, cv2.UMat]: ...
+
+
+class StaticSaliency(Saliency):
+    # Functions
+    @_typing.overload
+    def computeBinaryMap(self, _saliencyMap: cv2.typing.MatLike, _binaryMap: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def computeBinaryMap(self, _saliencyMap: cv2.UMat, _binaryMap: cv2.UMat | None = ...) -> tuple[bool, cv2.UMat]: ...
+
+
+class MotionSaliency(Saliency):
+    ...
+
+class Objectness(Saliency):
+    ...
+
+class StaticSaliencySpectralResidual(StaticSaliency):
+    # Functions
+    @classmethod
+    def create(cls) -> StaticSaliencySpectralResidual: ...
+
+    @_typing.overload
+    def computeSaliency(self, image: cv2.typing.MatLike, saliencyMap: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def computeSaliency(self, image: cv2.UMat, saliencyMap: cv2.UMat | None = ...) -> tuple[bool, cv2.UMat]: ...
+
+    def read(self, fn: cv2.FileNode) -> None: ...
+
+    def getImageWidth(self) -> int: ...
+
+    def setImageWidth(self, val: int) -> None: ...
+
+    def getImageHeight(self) -> int: ...
+
+    def setImageHeight(self, val: int) -> None: ...
+
+
+class StaticSaliencyFineGrained(StaticSaliency):
+    # Functions
+    @classmethod
+    def create(cls) -> StaticSaliencyFineGrained: ...
+
+    @_typing.overload
+    def computeSaliency(self, image: cv2.typing.MatLike, saliencyMap: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def computeSaliency(self, image: cv2.UMat, saliencyMap: cv2.UMat | None = ...) -> tuple[bool, cv2.UMat]: ...
+
+
+class MotionSaliencyBinWangApr2014(MotionSaliency):
+    # Functions
+    @classmethod
+    def create(cls) -> MotionSaliencyBinWangApr2014: ...
+
+    @_typing.overload
+    def computeSaliency(self, image: cv2.typing.MatLike, saliencyMap: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def computeSaliency(self, image: cv2.UMat, saliencyMap: cv2.UMat | None = ...) -> tuple[bool, cv2.UMat]: ...
+
+    def setImagesize(self, W: int, H: int) -> None: ...
+
+    def init(self) -> bool: ...
+
+    def getImageWidth(self) -> int: ...
+
+    def setImageWidth(self, val: int) -> None: ...
+
+    def getImageHeight(self) -> int: ...
+
+    def setImageHeight(self, val: int) -> None: ...
+
+
+class ObjectnessBING(Objectness):
+    # Functions
+    @classmethod
+    def create(cls) -> ObjectnessBING: ...
+
+    @_typing.overload
+    def computeSaliency(self, image: cv2.typing.MatLike, saliencyMap: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def computeSaliency(self, image: cv2.UMat, saliencyMap: cv2.UMat | None = ...) -> tuple[bool, cv2.UMat]: ...
+
+    def read(self) -> None: ...
+
+    def write(self) -> None: ...
+
+    def getobjectnessValues(self) -> _typing.Sequence[float]: ...
+
+    def setTrainingPath(self, trainingPath: str) -> None: ...
+
+    def setBBResDir(self, resultsDir: str) -> None: ...
+
+    def getBase(self) -> float: ...
+
+    def setBase(self, val: float) -> None: ...
+
+    def getNSS(self) -> int: ...
+
+    def setNSS(self, val: int) -> None: ...
+
+    def getW(self) -> int: ...
+
+    def setW(self, val: int) -> None: ...
+
+
+