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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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