def METHOD_NAME(
    self, outputs: Dict[str, torch.Tensor], batch: Dict[str, torch.Tensor]
) -> Tuple[Dict[str, float], Dict[str, torch.Tensor]]:
    image = batch["image"].to(outputs["rgb_coarse"].device)
    rgb_coarse = outputs["rgb_coarse"]
    rgb_fine = outputs["rgb_fine"]
    acc_coarse = colormaps.apply_colormap(outputs["accumulation_coarse"])
    acc_fine = colormaps.apply_colormap(outputs["accumulation_fine"])
    depth_coarse = colormaps.apply_depth_colormap(
        outputs["depth_coarse"],
        accumulation=outputs["accumulation_coarse"],
        near_plane=self.config.collider_params["near_plane"],
        far_plane=self.config.collider_params["far_plane"],
    )
    depth_fine = colormaps.apply_depth_colormap(
        outputs["depth_fine"],
        accumulation=outputs["accumulation_fine"],
        near_plane=self.config.collider_params["near_plane"],
        far_plane=self.config.collider_params["far_plane"],
    )
    combined_rgb = torch.cat([image, rgb_coarse, rgb_fine], dim=1)
    combined_acc = torch.cat([acc_coarse, acc_fine], dim=1)
    combined_depth = torch.cat([depth_coarse, depth_fine], dim=1)
    # Switch images from [H, W, C] to [1, C, H, W] for metrics computations
    image = torch.moveaxis(image, -1, 0)[None, ...]
    rgb_coarse = torch.moveaxis(rgb_coarse, -1, 0)[None, ...]
    rgb_fine = torch.moveaxis(rgb_fine, -1, 0)[None, ...]
    rgb_coarse = torch.clip(rgb_coarse, min=-1, max=1)
    rgb_fine = torch.clip(rgb_fine, min=-1, max=1)
    coarse_psnr = self.psnr(image, rgb_coarse)
    fine_psnr = self.psnr(image, rgb_fine)
    fine_ssim = self.ssim(image, rgb_fine)
    fine_lpips = self.lpips(image, rgb_fine)
    metrics_dict = {
        "psnr": float(fine_psnr.item()),
        "coarse_psnr": float(coarse_psnr.item()),
        "fine_psnr": float(fine_psnr.item()),
        "fine_ssim": float(fine_ssim.item()),
        "fine_lpips": float(fine_lpips.item()),
    }
    images_dict = {"img": combined_rgb, "accumulation": combined_acc, "depth": combined_depth}
    return metrics_dict, images_dict