Method __call__

monai/transforms/intensity/array.py:1827–1839

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

        self.a = self.R.uniform(low=self.alpha[0], high=self.alpha[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

        if self.x2 is None or self.y2 is None or self.z2 is None or self.a is None:
            raise RuntimeError("please call the `randomize()` function first.")
        sigma1 = ensure_tuple_size(vals=(self.x1, self.y1, self.z1), dim=img.ndim - 1)
        sigma2 = ensure_tuple_size(vals=(self.x2, self.y2, self.z2), dim=img.ndim - 1)
        return GaussianSharpen(sigma1=sigma1, sigma2=sigma2, alpha=self.a, approx=self.approx)(img)


class RandHistogramShift(RandomizableTransform):