Method __call__

monai/transforms/intensity/array.py:1691–1700

(self, img: NdarrayOrTensor, randomize: bool = True)

        self.z = self.R.uniform(low=self.sigma_z[0], high=self.sigma_z[1])

    def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:
        img = convert_to_tensor(img, track_meta=get_track_meta())
        if randomize:
            self.randomize()

        if not self._do_transform:
            return img

        sigma = ensure_tuple_size(vals=(self.x, self.y, self.z), dim=img.ndim - 1)
        return GaussianSmooth(sigma=sigma, approx=self.approx)(img)


class GaussianSharpen(Transform):