You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
40 lines
1.7 KiB
40 lines
1.7 KiB
__all__: list[str] = []
|
|
|
|
import cv2
|
|
import cv2.typing
|
|
import typing as _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: ...
|
|
|
|
|
|
|