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- # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
- #
- # 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 time
- from typing import Any, Dict
- import numpy as np
- from .table_stucture_utils import OrtInferSession, TableLabelDecode, TablePreprocess
- class TableStructurer:
- def __init__(self, config: Dict[str, Any]):
- self.preprocess_op = TablePreprocess()
- self.session = OrtInferSession(config)
- self.character = self.session.get_metadata()
- self.postprocess_op = TableLabelDecode(self.character)
- def __call__(self, img):
- starttime = time.time()
- data = {"image": img}
- data = self.preprocess_op(data)
- img = data[0]
- if img is None:
- return None, 0
- img = np.expand_dims(img, axis=0)
- img = img.copy()
- outputs = self.session([img])
- preds = {"loc_preds": outputs[0], "structure_probs": outputs[1]}
- shape_list = np.expand_dims(data[-1], axis=0)
- post_result = self.postprocess_op(preds, [shape_list])
- bbox_list = post_result["bbox_batch_list"][0]
- structure_str_list = post_result["structure_batch_list"][0]
- structure_str_list = structure_str_list[0]
- structure_str_list = (
- ["<html>", "<body>", "<table>"]
- + structure_str_list
- + ["</table>", "</body>", "</html>"]
- )
- elapse = time.time() - starttime
- return structure_str_list, bbox_list, elapse
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