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- # copyright (c) 2024 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
- from pathlib import Path
- class SealRecognitionResult(dict):
- """Seal Recognition Result"""
- def __init__(self, data) -> None:
- """Initializes a new instance of the class with the specified data."""
- super().__init__(data)
- def save_results(self, save_path: str) -> None:
- """Save the layout parsing results to the specified directory.
- Args:
- save_path (str): The directory path to save the results.
- """
- if not os.path.isdir(save_path):
- return
- img_id = self["img_id"]
- layout_det_res = self["layout_det_res"]
- if len(layout_det_res) > 0:
- save_img_path = Path(save_path) / f"layout_det_result_img{img_id}.jpg"
- layout_det_res.save_to_img(save_img_path)
- input_params = self["input_params"]
- if input_params["use_doc_preprocessor"]:
- save_img_path = Path(save_path) / f"doc_preprocessor_result_img{img_id}.jpg"
- self["doc_preprocessor_res"].save_to_img(save_img_path)
- for sno in range(len(self["seal_res_list"])):
- seal_res = self["seal_res_list"][sno]
- seal_region_id = seal_res["seal_region_id"]
- save_img_path = (
- Path(save_path) / f"seal_res_img{img_id}_region{seal_region_id}.jpg"
- )
- seal_res.save_to_img(save_img_path)
- return
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