utility.h 3.4 KB
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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 <chrono>
#include <iomanip>
#include <iostream>
#include <ostream>
#include <stdlib.h>
#include <vector>
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#include <sys/stat.h>
#include <dirent.h>
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#include <algorithm>
#include <cstring>
#include <fstream>
#include <numeric>

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

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namespace PaddleOCR {

class Utility {
public:
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  static std::vector<std::string> ReadDict(const std::string &path) {
    std::ifstream in(path);
    std::string line;
    std::vector<std::string> m_vec;
    if (in) {
      while (getline(in, line)) {
        m_vec.push_back(line);
      }
    } else {
      std::cout << "no such label file: " << path << ", exit the program..."
                << std::endl;
      exit(1);
    }
    return m_vec;
  }
    
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  static void
  VisualizeBboxes(const cv::Mat &srcimg,
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                  const std::vector<std::vector<std::vector<int>>> &boxes) {
    cv::Mat img_vis;
    srcimg.copyTo(img_vis);
    for (int n = 0; n < boxes.size(); n++) {
      cv::Point rook_points[4];
      for (int m = 0; m < boxes[n].size(); m++) {
        rook_points[m] = cv::Point(int(boxes[n][m][0]), int(boxes[n][m][1]));
      }

      const cv::Point *ppt[1] = {rook_points};
      int npt[] = {4};
      cv::polylines(img_vis, ppt, npt, 1, 1, CV_RGB(0, 255, 0), 2, 8, 0);
    }

    cv::imwrite("./ocr_vis.png", img_vis);
    std::cout << "The detection visualized image saved in ./ocr_vis.png"
              << std::endl;
  }
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  template <class ForwardIterator>
  inline static size_t argmax(ForwardIterator first, ForwardIterator last) {
    return std::distance(first, std::max_element(first, last));
  }
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  static void GetAllFiles(const char *dir_name,
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                          std::vector<std::string> &all_inputs) {
    if (NULL == dir_name) {
      std::cout << " dir_name is null ! " << std::endl;
      return;
    }
    struct stat s;
    lstat(dir_name, &s);
    if (!S_ISDIR(s.st_mode)) {
      std::cout << "dir_name is not a valid directory !" << std::endl;
      all_inputs.push_back(dir_name);
      return;
    } else {
      struct dirent *filename; // return value for readdir()
      DIR *dir;                // return value for opendir()
      dir = opendir(dir_name);
      if (NULL == dir) {
        std::cout << "Can not open dir " << dir_name << std::endl;
        return;
      }
      std::cout << "Successfully opened the dir !" << std::endl;
      while ((filename = readdir(dir)) != NULL) {
        if (strcmp(filename->d_name, ".") == 0 ||
            strcmp(filename->d_name, "..") == 0)
          continue;
        // img_dir + std::string("/") + all_inputs[0];
        all_inputs.push_back(dir_name + std::string("/") +
                             std::string(filename->d_name));
      }
    }
  }
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};

} // namespace PaddleOCR