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- __all__: list[str] = []
- import cv2
- import cv2.typing
- import os
- import typing as _typing
- # Classes
- class BarcodeDetector(cv2.GraphicalCodeDetector):
- # Functions
- @_typing.overload
- def __init__(self) -> None: ...
- @_typing.overload
- def __init__(self, prototxt_path: str | os.PathLike[str], model_path: str | os.PathLike[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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