functionals | DOCSAID

📄️ meanblur

meanblur(img _Ksize = 3, kwargs) -> np.ndarray

gaussianblur(img _Ksize = 3, sigmaX: int = 0, kwargs) -> np.ndarray

medianblur(img _Ksize = 3, kwargs) -> np.ndarray

imcvtcolor(img Union[int, str]) -> np.ndarray

imadjust(img Tuple[int, int] = (0, 255), gamma str = 'BGR') -> np.ndarray

pad(img Union[int, Tuple[int, int], Tuple[int, int, int, int]], fillvalue Union[str, int, BORDER] = BORDER.CONSTANT) -> np.ndarray

imbinarize(img int = cv2.THRESHBINARY, colorbase: str = 'BGR') -> np.ndarray

imcropbox(img Union[Box, np.ndarray], use_pad: bool = False) -> np.ndarray

imcropboxes(img Union[Box, np.ndarray], use_pad: bool = False) -> List[np.ndarray]

centercrop(img: np.ndarray) -> np.ndarray