// 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 <chrono>
#include <iomanip>
#include <iostream>
#include <ostream>
#include <stdlib.h>
#include <vector>

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

#include "opencv2/core.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/imgproc.hpp"

namespace migraphxSamples {

struct OCRPredictResult {
  std::vector<std::vector<int>> box;
  std::string text;
  float score = -1.0;
  float cls_score;
  int cls_label = -1;
};

struct StructurePredictResult {
  std::vector<float> box;
  std::vector<std::vector<int>> cell_box;
  std::string type;
  std::vector<OCRPredictResult> text_res;
  std::string html;
  float html_score = -1;
  float confidence;
};

class Utility {
public:
  static std::vector<std::string> ReadDict(const std::string &path);

  static void VisualizeBboxes(const cv::Mat &srcimg,
                              const std::vector<OCRPredictResult> &ocr_result,
                              const std::string &save_path);

  static void VisualizeBboxes(const cv::Mat &srcimg,
                              const StructurePredictResult &structure_result,
                              const std::string &save_path);

  template <class ForwardIterator>
  inline static size_t argmax(ForwardIterator first, ForwardIterator last) {
    return std::distance(first, std::max_element(first, last));
  }

  static void GetAllFiles(const char *dir_name,
                          std::vector<std::string> &all_inputs);

  static cv::Mat GetRotateCropImage(const cv::Mat &srcimage,
                                    std::vector<std::vector<int>> box);

  static std::vector<int> argsort(const std::vector<float> &array);

  static std::string basename(const std::string &filename);

  static bool PathExists(const std::string &path);

  static void CreateDir(const std::string &path);

  static void print_result(const std::vector<OCRPredictResult> &ocr_result);

  static cv::Mat crop_image(cv::Mat &img, const std::vector<int> &area);
  static cv::Mat crop_image(cv::Mat &img, const std::vector<float> &area);

  static void sorted_boxes(std::vector<OCRPredictResult> &ocr_result);

  static std::vector<int> xyxyxyxy2xyxy(std::vector<std::vector<int>> &box);
  static std::vector<int> xyxyxyxy2xyxy(std::vector<int> &box);

  static float fast_exp(float x);
  static std::vector<float>
  activation_function_softmax(std::vector<float> &src);
  static float iou(std::vector<int> &box1, std::vector<int> &box2);
  static float iou(std::vector<float> &box1, std::vector<float> &box2);

private:
  static bool comparison_box(const OCRPredictResult &result1,
                             const OCRPredictResult &result2) {
    if (result1.box[0][1] < result2.box[0][1]) {
      return true;
    } else if (result1.box[0][1] == result2.box[0][1]) {
      return result1.box[0][0] < result2.box[0][0];
    } else {
      return false;
    }
  }
};

} // namespace migraphxSamples