dev(narugo): add support for yolov10

    >>> _data_postprocess(output, 0.5, 0.5, (100, 100), (128, 128), ['cat', 'dog'])

    [((7, 7, 15, 15), 'cat', 0.9)]

    """

    if output.shape[-1] == 6:  # for end-to-end models like yolov10

        detections = []

        for x0, y0, x1, y1, score, cls in output[output[:, 4] > conf_threshold]:

            x0, y0 = _xy_postprocess(x0, y0, old_size, new_size)

            x1, y1 = _xy_postprocess(x1, y1, old_size, new_size)

            detections.append(((x0, y0, x1, y1), labels[int(cls.item())], float(score)))

        return detections

    else:  # for nms-based models like yolov8

        max_scores = output[4:, :].max(axis=0)

        output = output[:, max_scores > conf_threshold].transpose(1, 0)

        boxes = output[:, :4]