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| # copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import os | |
| import sys | |
| import numpy as np | |
| import random | |
| from copy import deepcopy | |
| def order_by_tbyx(ocr_info): | |
| res = sorted(ocr_info, key=lambda r: (r["bbox"][1], r["bbox"][0])) | |
| for i in range(len(res) - 1): | |
| for j in range(i, 0, -1): | |
| if abs(res[j + 1]["bbox"][1] - res[j]["bbox"][1]) < 20 and \ | |
| (res[j + 1]["bbox"][0] < res[j]["bbox"][0]): | |
| tmp = deepcopy(res[j]) | |
| res[j] = deepcopy(res[j + 1]) | |
| res[j + 1] = deepcopy(tmp) | |
| else: | |
| break | |
| return res | |