functionals | DOCSAID

📄️ centercrop

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

gaussianblur(img int | tuple[int, int] | np.ndarray = 3, sigma_x: int = 0, kwargs) -> np.ndarray

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

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

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

imcropboxes(img Boxes | np.ndarray, use_pad: bool = False) -> list[np.ndarray]

imcvtcolor(img int | str) -> np.ndarray

meanblur(img int | tuple[int, int] | np.ndarray = 3, kwargs) -> np.ndarray

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

pad(img int | tuple[int, int] | tuple[int, int, int, int], padvalue str | int | BORDER = BORDER.CONSTANT) -> np.ndarray