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- import cv2
- import cv2.typing
- import typing
- # Classes
- class IntelligentScissorsMB:
- # Functions
- def __init__(self) -> None: ...
- def setWeights(self, weight_non_edge: float, weight_gradient_direction: float, weight_gradient_magnitude: float) -> IntelligentScissorsMB: ...
- def setGradientMagnitudeMaxLimit(self, gradient_magnitude_threshold_max: float = ...) -> IntelligentScissorsMB: ...
- def setEdgeFeatureZeroCrossingParameters(self, gradient_magnitude_min_value: float = ...) -> IntelligentScissorsMB: ...
- def setEdgeFeatureCannyParameters(self, threshold1: float, threshold2: float, apertureSize: int = ..., L2gradient: bool = ...) -> IntelligentScissorsMB: ...
- @typing.overload
- def applyImage(self, image: cv2.typing.MatLike) -> IntelligentScissorsMB: ...
- @typing.overload
- def applyImage(self, image: cv2.UMat) -> IntelligentScissorsMB: ...
- @typing.overload
- def applyImageFeatures(self, non_edge: cv2.typing.MatLike, gradient_direction: cv2.typing.MatLike, gradient_magnitude: cv2.typing.MatLike, image: cv2.typing.MatLike | None = ...) -> IntelligentScissorsMB: ...
- @typing.overload
- def applyImageFeatures(self, non_edge: cv2.UMat, gradient_direction: cv2.UMat, gradient_magnitude: cv2.UMat, image: cv2.UMat | None = ...) -> IntelligentScissorsMB: ...
- def buildMap(self, sourcePt: cv2.typing.Point) -> None: ...
- @typing.overload
- def getContour(self, targetPt: cv2.typing.Point, contour: cv2.typing.MatLike | None = ..., backward: bool = ...) -> cv2.typing.MatLike: ...
- @typing.overload
- def getContour(self, targetPt: cv2.typing.Point, contour: cv2.UMat | None = ..., backward: bool = ...) -> cv2.UMat: ...
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