// 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 <chrono>
#include <iomanip>
#include <iostream>
#include <ostream>
#include <vector>

#include <cstring>
#include <fstream>
#include <numeric>

#include "ocr_cls.h"
#include "ocr_det.h"
#include "ocr_rec.h"
#include "preprocess_op.h"
#include "utility.h"

using namespace paddle_infer;

namespace PaddleOCR {

class PPOCR {
public:
  explicit PPOCR(std::string det_model_dir = "", 
                std::string cls_model_dir = "", 
                std::string rec_model_dir = "",
                std::string rec_char_dict_path = "");
  ~PPOCR();
  std::vector<std::vector<OCRPredictResult>>
  ocr(std::vector<cv::Mat>& cv_all_imgs, bool det = true,
      bool rec = true, bool cls = true);

protected:
  void det(cv::Mat img, std::vector<OCRPredictResult> &ocr_results,
           std::vector<double> &times);
  void rec(std::vector<cv::Mat> img_list,
           std::vector<OCRPredictResult> &ocr_results,
           std::vector<double> &times);
  void cls(std::vector<cv::Mat> img_list,
           std::vector<OCRPredictResult> &ocr_results,
           std::vector<double> &times);

private:
  DBDetector *detector_ = nullptr;
  Classifier *classifier_ = nullptr;
  CRNNRecognizer *recognizer_ = nullptr;
};

} // namespace PaddleOCR