Method __call__

monai/transforms/intensity/array.py:2557–2568

(self, img: NdarrayOrTensor, mask: NdarrayOrTensor | None = None)

        self.dtype = dtype

    def __call__(self, img: NdarrayOrTensor, mask: NdarrayOrTensor | None = None) -> NdarrayOrTensor:
        img = convert_to_tensor(img, track_meta=get_track_meta())
        img_np, *_ = convert_data_type(img, np.ndarray)
        mask = mask if mask is not None else self.mask
        mask_np: np.ndarray | None = None
        if mask is not None:
            mask_np, *_ = convert_data_type(mask, np.ndarray)

        ret = equalize_hist(img=img_np, mask=mask_np, num_bins=self.num_bins, min=self.min, max=self.max)
        out, *_ = convert_to_dst_type(src=ret, dst=img, dtype=self.dtype or img.dtype)

        return out


class IntensityRemap(RandomizableTransform):