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__all__: list[str] = []
import cv2
import cv2.typing
import typing as _typing
# Classes
class BarcodeDetector(cv2.GraphicalCodeDetector):
# Functions
@_typing.overload
def __init__(self) -> None: ...
@_typing.overload
def __init__(self, prototxt_path: str, model_path: str) -> None: ...
@_typing.overload
def decodeWithType(self, img: cv2.typing.MatLike, points: cv2.typing.MatLike) -> tuple[bool, _typing.Sequence[str], _typing.Sequence[str]]: ...
@_typing.overload
def decodeWithType(self, img: cv2.UMat, points: cv2.UMat) -> tuple[bool, _typing.Sequence[str], _typing.Sequence[str]]: ...
@_typing.overload
def detectAndDecodeWithType(self, img: cv2.typing.MatLike, points: cv2.typing.MatLike | None = ...) -> tuple[bool, _typing.Sequence[str], _typing.Sequence[str], cv2.typing.MatLike]: ...
@_typing.overload
def detectAndDecodeWithType(self, img: cv2.UMat, points: cv2.UMat | None = ...) -> tuple[bool, _typing.Sequence[str], _typing.Sequence[str], cv2.UMat]: ...
def getDownsamplingThreshold(self) -> float: ...
def setDownsamplingThreshold(self, thresh: float) -> BarcodeDetector: ...
def getDetectorScales(self) -> _typing.Sequence[float]: ...
def setDetectorScales(self, sizes: _typing.Sequence[float]) -> BarcodeDetector: ...
def getGradientThreshold(self) -> float: ...
def setGradientThreshold(self, thresh: float) -> BarcodeDetector: ...
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