56 lines
1.8 KiB
C++
56 lines
1.8 KiB
C++
// Copyright (c) 2020 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/ocr_cls.h>
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#include <include/ocr_det.h>
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#include <include/ocr_rec.h>
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namespace PaddleOCR {
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class PPOCR {
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public:
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explicit PPOCR();
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~PPOCR() = default;
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std::vector<std::vector<OCRPredictResult>> ocr(std::vector<cv::Mat> img_list,
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bool det = true,
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bool rec = true,
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bool cls = true);
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std::vector<OCRPredictResult> ocr(cv::Mat img, bool det = true,
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bool rec = true, bool cls = true);
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void reset_timer();
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void benchmark_log(int img_num);
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protected:
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std::vector<double> time_info_det = {0, 0, 0};
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std::vector<double> time_info_rec = {0, 0, 0};
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std::vector<double> time_info_cls = {0, 0, 0};
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void det(cv::Mat img, std::vector<OCRPredictResult> &ocr_results);
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void rec(std::vector<cv::Mat> img_list,
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std::vector<OCRPredictResult> &ocr_results);
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void cls(std::vector<cv::Mat> img_list,
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std::vector<OCRPredictResult> &ocr_results);
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private:
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std::unique_ptr<DBDetector> detector_;
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std::unique_ptr<Classifier> classifier_;
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std::unique_ptr<CRNNRecognizer> recognizer_;
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};
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} // namespace PaddleOCR
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