// 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 <opencv2/core.hpp>
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#include <opencv2/imgcodecs.hpp>
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#include <opencv2/imgproc.hpp>
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#include <paddle_api.h>
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#include <paddle_inference_api.h>
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#include <chrono>
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#include <iomanip>
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#include <iostream>
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#include <ostream>
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#include <vector>
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#include <cstring>
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#include <fstream>
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#include <numeric>
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#include "ocr_cls.h"
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#include "ocr_det.h"
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#include "ocr_rec.h"
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#include "preprocess_op.h"
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#include "utility.h"
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using namespace paddle_infer;
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namespace PaddleOCR {
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class PPOCR {
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public:
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explicit PPOCR(std::string det_model_dir = "",
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std::string cls_model_dir = "",
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std::string rec_model_dir = "",
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std::string rec_char_dict_path = "");
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~PPOCR();
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std::vector<std::vector<OCRPredictResult>>
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ocr(std::vector<cv::Mat>& cv_all_imgs, bool det = true,
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bool rec = true, bool cls = true);
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protected:
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void det(cv::Mat img, std::vector<OCRPredictResult> &ocr_results,
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std::vector<double> ×);
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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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std::vector<double> ×);
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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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std::vector<double> ×);
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private:
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DBDetector *detector_ = nullptr;
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Classifier *classifier_ = nullptr;
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CRNNRecognizer *recognizer_ = nullptr;
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};
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} // namespace PaddleOCR
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