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