def METHOD_NAME(self, preds, input, height, width, warp_matrix):
    meta = {"height": height, "width": width, 'img': input, 'warp_matrix': warp_matrix}
    meta["img"] = divisible_padding(meta["img"], divisible=torch.tensor(32))
    res = self.model.head.post_process(preds, meta, conf_thresh=self.conf_thresh, iou_thresh=self.iou_thresh,
                                       nms_max_num=self.nms_max_num)
    return res