| __all__: list[str] = [] |
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| import cv2 |
| import cv2.typing |
| import typing as _typing |
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| # Classes |
| class IntelligentScissorsMB: |
| # Functions |
| def __init__(self) -> None: ... |
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| def setWeights(self, weight_non_edge: float, weight_gradient_direction: float, weight_gradient_magnitude: float) -> IntelligentScissorsMB: ... |
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| def setGradientMagnitudeMaxLimit(self, gradient_magnitude_threshold_max: float = ...) -> IntelligentScissorsMB: ... |
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| def setEdgeFeatureZeroCrossingParameters(self, gradient_magnitude_min_value: float = ...) -> IntelligentScissorsMB: ... |
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| def setEdgeFeatureCannyParameters(self, threshold1: float, threshold2: float, apertureSize: int = ..., L2gradient: bool = ...) -> IntelligentScissorsMB: ... |
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| @_typing.overload |
| def applyImage(self, image: cv2.typing.MatLike) -> IntelligentScissorsMB: ... |
| @_typing.overload |
| def applyImage(self, image: cv2.UMat) -> IntelligentScissorsMB: ... |
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| @_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: ... |
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| def buildMap(self, sourcePt: cv2.typing.Point) -> None: ... |
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| @_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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