mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
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66 lines
2.1 KiB
C++
66 lines
2.1 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include <include/paddleocr.h>
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#include <include/structure_layout.h>
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#include <include/structure_table.h>
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namespace PaddleOCR {
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class PaddleStructure : public PPOCR {
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public:
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explicit PaddleStructure();
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~PaddleStructure();
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std::vector<StructurePredictResult> structure(cv::Mat img,
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bool layout = false,
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bool table = true,
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bool ocr = false);
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void reset_timer();
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void benchmark_log(int img_num);
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private:
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std::vector<double> time_info_table = {0, 0, 0};
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std::vector<double> time_info_layout = {0, 0, 0};
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StructureTableRecognizer *table_model_ = nullptr;
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StructureLayoutRecognizer *layout_model_ = nullptr;
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void layout(cv::Mat img,
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std::vector<StructurePredictResult> &structure_result);
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void table(cv::Mat img, StructurePredictResult &structure_result);
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std::string rebuild_table(std::vector<std::string> rec_html_tags,
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std::vector<std::vector<int>> rec_boxes,
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std::vector<OCRPredictResult> &ocr_result);
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float dis(std::vector<int> &box1, std::vector<int> &box2);
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static bool comparison_dis(const std::vector<float> &dis1,
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const std::vector<float> &dis2) {
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if (dis1[1] < dis2[1]) {
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return true;
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} else if (dis1[1] == dis2[1]) {
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return dis1[0] < dis2[0];
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} else {
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return false;
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}
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}
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};
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} // namespace PaddleOCR
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