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

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+__all__: list[str] = []
+
+import cv2
+import cv2.typing
+import typing as _typing
+
+
+# Enumerations
+LSBP_CAMERA_MOTION_COMPENSATION_NONE: int
+LSBP_CAMERA_MOTION_COMPENSATION_LK: int
+LSBPCameraMotionCompensation = int
+"""One of [LSBP_CAMERA_MOTION_COMPENSATION_NONE, LSBP_CAMERA_MOTION_COMPENSATION_LK]"""
+
+
+
+# Classes
+class BackgroundSubtractorMOG(cv2.BackgroundSubtractor):
+    # Functions
+    def getHistory(self) -> int: ...
+
+    def setHistory(self, nframes: int) -> None: ...
+
+    def getNMixtures(self) -> int: ...
+
+    def setNMixtures(self, nmix: int) -> None: ...
+
+    def getBackgroundRatio(self) -> float: ...
+
+    def setBackgroundRatio(self, backgroundRatio: float) -> None: ...
+
+    def getNoiseSigma(self) -> float: ...
+
+    def setNoiseSigma(self, noiseSigma: float) -> None: ...
+
+
+class BackgroundSubtractorGMG(cv2.BackgroundSubtractor):
+    # Functions
+    @_typing.overload
+    def apply(self, image: cv2.typing.MatLike, fgmask: cv2.typing.MatLike | None = ..., learningRate: float = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def apply(self, image: cv2.UMat, fgmask: cv2.UMat | None = ..., learningRate: float = ...) -> cv2.UMat: ...
+
+    @_typing.overload
+    def getBackgroundImage(self, backgroundImage: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def getBackgroundImage(self, backgroundImage: cv2.UMat | None = ...) -> cv2.UMat: ...
+
+    def getMaxFeatures(self) -> int: ...
+
+    def setMaxFeatures(self, maxFeatures: int) -> None: ...
+
+    def getDefaultLearningRate(self) -> float: ...
+
+    def setDefaultLearningRate(self, lr: float) -> None: ...
+
+    def getNumFrames(self) -> int: ...
+
+    def setNumFrames(self, nframes: int) -> None: ...
+
+    def getQuantizationLevels(self) -> int: ...
+
+    def setQuantizationLevels(self, nlevels: int) -> None: ...
+
+    def getBackgroundPrior(self) -> float: ...
+
+    def setBackgroundPrior(self, bgprior: float) -> None: ...
+
+    def getSmoothingRadius(self) -> int: ...
+
+    def setSmoothingRadius(self, radius: int) -> None: ...
+
+    def getDecisionThreshold(self) -> float: ...
+
+    def setDecisionThreshold(self, thresh: float) -> None: ...
+
+    def getUpdateBackgroundModel(self) -> bool: ...
+
+    def setUpdateBackgroundModel(self, update: bool) -> None: ...
+
+    def getMinVal(self) -> float: ...
+
+    def setMinVal(self, val: float) -> None: ...
+
+    def getMaxVal(self) -> float: ...
+
+    def setMaxVal(self, val: float) -> None: ...
+
+
+class BackgroundSubtractorCNT(cv2.BackgroundSubtractor):
+    # Functions
+    @_typing.overload
+    def apply(self, image: cv2.typing.MatLike, fgmask: cv2.typing.MatLike | None = ..., learningRate: float = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def apply(self, image: cv2.UMat, fgmask: cv2.UMat | None = ..., learningRate: float = ...) -> cv2.UMat: ...
+
+    @_typing.overload
+    def getBackgroundImage(self, backgroundImage: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def getBackgroundImage(self, backgroundImage: cv2.UMat | None = ...) -> cv2.UMat: ...
+
+    def getMinPixelStability(self) -> int: ...
+
+    def setMinPixelStability(self, value: int) -> None: ...
+
+    def getMaxPixelStability(self) -> int: ...
+
+    def setMaxPixelStability(self, value: int) -> None: ...
+
+    def getUseHistory(self) -> bool: ...
+
+    def setUseHistory(self, value: bool) -> None: ...
+
+    def getIsParallel(self) -> bool: ...
+
+    def setIsParallel(self, value: bool) -> None: ...
+
+
+class BackgroundSubtractorGSOC(cv2.BackgroundSubtractor):
+    # Functions
+    @_typing.overload
+    def apply(self, image: cv2.typing.MatLike, fgmask: cv2.typing.MatLike | None = ..., learningRate: float = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def apply(self, image: cv2.UMat, fgmask: cv2.UMat | None = ..., learningRate: float = ...) -> cv2.UMat: ...
+
+    @_typing.overload
+    def getBackgroundImage(self, backgroundImage: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def getBackgroundImage(self, backgroundImage: cv2.UMat | None = ...) -> cv2.UMat: ...
+
+
+class BackgroundSubtractorLSBP(cv2.BackgroundSubtractor):
+    # Functions
+    @_typing.overload
+    def apply(self, image: cv2.typing.MatLike, fgmask: cv2.typing.MatLike | None = ..., learningRate: float = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def apply(self, image: cv2.UMat, fgmask: cv2.UMat | None = ..., learningRate: float = ...) -> cv2.UMat: ...
+
+    @_typing.overload
+    def getBackgroundImage(self, backgroundImage: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def getBackgroundImage(self, backgroundImage: cv2.UMat | None = ...) -> cv2.UMat: ...
+
+
+class BackgroundSubtractorLSBPDesc:
+    ...
+
+class SyntheticSequenceGenerator(cv2.Algorithm):
+    # Functions
+    @_typing.overload
+    def __init__(self, background: cv2.typing.MatLike, object: cv2.typing.MatLike, amplitude: float, wavelength: float, wavespeed: float, objspeed: float) -> None: ...
+    @_typing.overload
+    def __init__(self, background: cv2.UMat, object: cv2.UMat, amplitude: float, wavelength: float, wavespeed: float, objspeed: float) -> None: ...
+
+    @_typing.overload
+    def getNextFrame(self, frame: cv2.typing.MatLike | None = ..., gtMask: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def getNextFrame(self, frame: cv2.UMat | None = ..., gtMask: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat]: ...
+
+
+
+# Functions
+def createBackgroundSubtractorCNT(minPixelStability: int = ..., useHistory: bool = ..., maxPixelStability: int = ..., isParallel: bool = ...) -> BackgroundSubtractorCNT: ...
+
+def createBackgroundSubtractorGMG(initializationFrames: int = ..., decisionThreshold: float = ...) -> BackgroundSubtractorGMG: ...
+
+def createBackgroundSubtractorGSOC(mc: int = ..., nSamples: int = ..., replaceRate: float = ..., propagationRate: float = ..., hitsThreshold: int = ..., alpha: float = ..., beta: float = ..., blinkingSupressionDecay: float = ..., blinkingSupressionMultiplier: float = ..., noiseRemovalThresholdFacBG: float = ..., noiseRemovalThresholdFacFG: float = ...) -> BackgroundSubtractorGSOC: ...
+
+def createBackgroundSubtractorLSBP(mc: int = ..., nSamples: int = ..., LSBPRadius: int = ..., Tlower: float = ..., Tupper: float = ..., Tinc: float = ..., Tdec: float = ..., Rscale: float = ..., Rincdec: float = ..., noiseRemovalThresholdFacBG: float = ..., noiseRemovalThresholdFacFG: float = ..., LSBPthreshold: int = ..., minCount: int = ...) -> BackgroundSubtractorLSBP: ...
+
+def createBackgroundSubtractorMOG(history: int = ..., nmixtures: int = ..., backgroundRatio: float = ..., noiseSigma: float = ...) -> BackgroundSubtractorMOG: ...
+
+@_typing.overload
+def createSyntheticSequenceGenerator(background: cv2.typing.MatLike, object: cv2.typing.MatLike, amplitude: float = ..., wavelength: float = ..., wavespeed: float = ..., objspeed: float = ...) -> SyntheticSequenceGenerator: ...
+@_typing.overload
+def createSyntheticSequenceGenerator(background: cv2.UMat, object: cv2.UMat, amplitude: float = ..., wavelength: float = ..., wavespeed: float = ..., objspeed: float = ...) -> SyntheticSequenceGenerator: ...
+
+