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ANSCORE/modules/ANSOCR/ANSPaddleOCR/include/paddleocr.h

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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.
#pragma once
#include <include/ocr_cls.h>
#include <include/ocr_det.h>
#include <include/ocr_rec.h>
namespace PaddleOCR {
class PPOCR {
public:
explicit PPOCR();
~PPOCR();
std::vector<OCRPredictResult> ocr(const cv::Mat& img);
bool Initialize(std::string detectionModelDir, std::string classifierModelDir, std::string recognizerModelDir, std::string labelDir);
void SetParameters(std::string limit_type,
std::string det_db_score_mode,
bool is_scale,
double det_db_thresh,
double det_db_box_thresh,
double det_db_unclip_ratio,
bool use_dilation,
int cls_batch_num,
double cls_thresh,
int rec_batch_num);
void GetParameters(std::string& limit_type,
std::string& det_db_score_mode,
bool& is_scale,
double& det_db_thresh,
double& det_db_box_thresh,
double& det_db_unclip_ratio,
bool& use_dilation,
int& cls_batch_num,
double& cls_thresh,
int& rec_batch_num);
protected:
std::unique_ptr<Detector> detector_ = nullptr;
std::unique_ptr<Classifier> classifier_ = nullptr;
std::unique_ptr<Recognizer> recognizer_ = nullptr;
std::recursive_mutex _mutex;
std::string _limit_type;
std::string _det_db_score_mode;
bool _is_scale;
double _det_db_thresh;
double _det_db_box_thresh;
double _det_db_unclip_ratio;
bool _use_dilation;
int _cls_batch_num;
double _cls_thresh;
int _rec_batch_num;
};
} // namespace PaddleOCR