// 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 "opencv2/core.hpp" #include "opencv2/imgcodecs.hpp" #include "opencv2/imgproc.hpp" #include "paddle_api.h" #include "paddle_inference_api.h" #include #include #include #include #include #include #include #include #include #include #include #include #include using namespace paddle_infer; namespace PaddleOCR { class PPOCR { public: explicit PPOCR(); ~PPOCR(); std::vector> ocr(std::vector img_list, bool det = true, bool rec = true, bool cls = true); std::vector ocr(cv::Mat img, bool det, bool rec, bool cls); void reset_timer(); void benchmark_log(int img_num); protected: std::vector time_info_det = {0, 0, 0}; std::vector time_info_rec = {0, 0, 0}; std::vector time_info_cls = {0, 0, 0}; void det(cv::Mat img, std::vector &ocr_results); void rec(std::vector img_list, std::vector &ocr_results); void cls(std::vector img_list, std::vector &ocr_results); private: DBDetector *detector_ = nullptr; Classifier *classifier_ = nullptr; CRNNRecognizer *recognizer_ = nullptr; }; } // namespace PaddleOCR