def METHOD_NAME(self, input: Dict[str, Any]) -> Dict[str, Any]:
    """call model to output the predictions and concatenate it with the original L-channel
    Args:
        inputs: input image tensor
    Returns:
        Dict[str, Any]: the result image
    """
    output_ab = self.model(input).cpu()
    output_ab_resize = F.interpolate(
        output_ab, size=(self.height, self.width))
    output_ab_resize = output_ab_resize[0].float().numpy().transpose(
        1, 2, 0)
    out_lab = np.concatenate((self.orig_l, output_ab_resize), axis=-1)
    out_bgr = cv2.cvtColor(out_lab, cv2.COLOR_LAB2BGR)
    output_img = (out_bgr * 255.0).round().astype(np.uint8)
    return {OutputKeys.OUTPUT_IMG: output_img}