280 lines
8.3 KiB
C++
280 lines
8.3 KiB
C++
// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <dirent.h>
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#include <include/utility.h>
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#include <iostream>
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#include <ostream>
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#include <vector>
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#ifdef _WIN32
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#include <direct.h>
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#else
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#include <sys/stat.h>
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#endif
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namespace PaddleOCR {
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std::vector<std::string> Utility::ReadDict(const std::string &path) {
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std::ifstream in(path);
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std::string line;
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std::vector<std::string> m_vec;
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if (in) {
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while (getline(in, line)) {
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m_vec.push_back(line);
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}
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} else {
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std::cout << "no such label file: " << path << ", exit the program..."
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<< std::endl;
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exit(1);
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}
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return m_vec;
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}
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void Utility::VisualizeBboxes(const cv::Mat &srcimg,
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const std::vector<OCRPredictResult> &ocr_result,
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const std::string &save_path) {
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cv::Mat img_vis;
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srcimg.copyTo(img_vis);
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for (int n = 0; n < ocr_result.size(); n++) {
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cv::Point rook_points[4];
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for (int m = 0; m < ocr_result[n].box.size(); m++) {
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rook_points[m] =
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cv::Point(int(ocr_result[n].box[m][0]), int(ocr_result[n].box[m][1]));
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}
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const cv::Point *ppt[1] = {rook_points};
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int npt[] = {4};
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cv::polylines(img_vis, ppt, npt, 1, 1, CV_RGB(0, 255, 0), 2, 8, 0);
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}
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cv::imwrite(save_path, img_vis);
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std::cout << "The detection visualized image saved in " + save_path
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<< std::endl;
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}
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// list all files under a directory
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void Utility::GetAllFiles(const char *dir_name,
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std::vector<std::string> &all_inputs) {
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if (NULL == dir_name) {
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std::cout << " dir_name is null ! " << std::endl;
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return;
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}
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struct stat s;
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stat(dir_name, &s);
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if (!S_ISDIR(s.st_mode)) {
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std::cout << "dir_name is not a valid directory !" << std::endl;
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all_inputs.push_back(dir_name);
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return;
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} else {
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struct dirent *filename; // return value for readdir()
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DIR *dir; // return value for opendir()
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dir = opendir(dir_name);
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if (NULL == dir) {
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std::cout << "Can not open dir " << dir_name << std::endl;
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return;
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}
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std::cout << "Successfully opened the dir !" << std::endl;
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while ((filename = readdir(dir)) != NULL) {
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if (strcmp(filename->d_name, ".") == 0 ||
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strcmp(filename->d_name, "..") == 0)
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continue;
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// img_dir + std::string("/") + all_inputs[0];
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all_inputs.push_back(dir_name + std::string("/") +
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std::string(filename->d_name));
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}
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}
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}
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cv::Mat Utility::GetRotateCropImage(const cv::Mat &srcimage,
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std::vector<std::vector<int>> box) {
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cv::Mat image;
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srcimage.copyTo(image);
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std::vector<std::vector<int>> points = box;
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int x_collect[4] = {box[0][0], box[1][0], box[2][0], box[3][0]};
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int y_collect[4] = {box[0][1], box[1][1], box[2][1], box[3][1]};
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int left = int(*std::min_element(x_collect, x_collect + 4));
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int right = int(*std::max_element(x_collect, x_collect + 4));
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int top = int(*std::min_element(y_collect, y_collect + 4));
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int bottom = int(*std::max_element(y_collect, y_collect + 4));
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cv::Mat img_crop;
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image(cv::Rect(left, top, right - left, bottom - top)).copyTo(img_crop);
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for (int i = 0; i < points.size(); i++) {
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points[i][0] -= left;
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points[i][1] -= top;
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}
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int img_crop_width = int(sqrt(pow(points[0][0] - points[1][0], 2) +
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pow(points[0][1] - points[1][1], 2)));
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int img_crop_height = int(sqrt(pow(points[0][0] - points[3][0], 2) +
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pow(points[0][1] - points[3][1], 2)));
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cv::Point2f pts_std[4];
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pts_std[0] = cv::Point2f(0., 0.);
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pts_std[1] = cv::Point2f(img_crop_width, 0.);
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pts_std[2] = cv::Point2f(img_crop_width, img_crop_height);
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pts_std[3] = cv::Point2f(0.f, img_crop_height);
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cv::Point2f pointsf[4];
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pointsf[0] = cv::Point2f(points[0][0], points[0][1]);
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pointsf[1] = cv::Point2f(points[1][0], points[1][1]);
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pointsf[2] = cv::Point2f(points[2][0], points[2][1]);
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pointsf[3] = cv::Point2f(points[3][0], points[3][1]);
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cv::Mat M = cv::getPerspectiveTransform(pointsf, pts_std);
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cv::Mat dst_img;
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cv::warpPerspective(img_crop, dst_img, M,
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cv::Size(img_crop_width, img_crop_height),
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cv::BORDER_REPLICATE);
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if (float(dst_img.rows) >= float(dst_img.cols) * 1.5) {
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cv::Mat srcCopy = cv::Mat(dst_img.rows, dst_img.cols, dst_img.depth());
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cv::transpose(dst_img, srcCopy);
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cv::flip(srcCopy, srcCopy, 0);
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return srcCopy;
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} else {
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return dst_img;
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}
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}
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std::vector<int> Utility::argsort(const std::vector<float> &array) {
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const int array_len(array.size());
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std::vector<int> array_index(array_len, 0);
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for (int i = 0; i < array_len; ++i)
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array_index[i] = i;
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std::sort(
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array_index.begin(), array_index.end(),
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[&array](int pos1, int pos2) { return (array[pos1] < array[pos2]); });
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return array_index;
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}
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std::string Utility::basename(const std::string &filename) {
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if (filename.empty()) {
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return "";
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}
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auto len = filename.length();
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auto index = filename.find_last_of("/\\");
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if (index == std::string::npos) {
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return filename;
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}
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if (index + 1 >= len) {
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len--;
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index = filename.substr(0, len).find_last_of("/\\");
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if (len == 0) {
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return filename;
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}
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if (index == 0) {
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return filename.substr(1, len - 1);
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}
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if (index == std::string::npos) {
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return filename.substr(0, len);
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}
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return filename.substr(index + 1, len - index - 1);
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}
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return filename.substr(index + 1, len - index);
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}
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bool Utility::PathExists(const std::string &path) {
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#ifdef _WIN32
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struct _stat buffer;
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return (_stat(path.c_str(), &buffer) == 0);
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#else
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struct stat buffer;
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return (stat(path.c_str(), &buffer) == 0);
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#endif // !_WIN32
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}
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void Utility::CreateDir(const std::string &path) {
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#ifdef _WIN32
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_mkdir(path.c_str());
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#else
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mkdir(path.c_str(), 0777);
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#endif // !_WIN32
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}
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void Utility::print_result(const std::vector<OCRPredictResult> &ocr_result) {
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for (int i = 0; i < ocr_result.size(); i++) {
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std::cout << i << "\t";
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// det
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std::vector<std::vector<int>> boxes = ocr_result[i].box;
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if (boxes.size() > 0) {
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std::cout << "det boxes: [";
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for (int n = 0; n < boxes.size(); n++) {
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std::cout << '[' << boxes[n][0] << ',' << boxes[n][1] << "]";
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if (n != boxes.size() - 1) {
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std::cout << ',';
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}
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}
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std::cout << "] ";
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}
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// rec
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if (ocr_result[i].score != -1.0) {
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std::cout << "rec text: " << ocr_result[i].text
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<< " rec score: " << ocr_result[i].score << " ";
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}
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// cls
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if (ocr_result[i].cls_label != -1) {
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std::cout << "cls label: " << ocr_result[i].cls_label
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<< " cls score: " << ocr_result[i].cls_score;
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}
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std::cout << std::endl;
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}
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}
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cv::Mat Utility::crop_image(cv::Mat &img, std::vector<int> &area) {
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cv::Mat crop_im;
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int crop_x1 = std::max(0, area[0]);
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int crop_y1 = std::max(0, area[1]);
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int crop_x2 = std::min(img.cols - 1, area[2] - 1);
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int crop_y2 = std::min(img.rows - 1, area[3] - 1);
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crop_im = cv::Mat::zeros(area[3] - area[1], area[2] - area[0], 16);
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cv::Mat crop_im_window =
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crop_im(cv::Range(crop_y1 - area[1], crop_y2 + 1 - area[1]),
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cv::Range(crop_x1 - area[0], crop_x2 + 1 - area[0]));
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cv::Mat roi_img =
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img(cv::Range(crop_y1, crop_y2 + 1), cv::Range(crop_x1, crop_x2 + 1));
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crop_im_window += roi_img;
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return crop_im;
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}
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void Utility::sorted_boxes(std::vector<OCRPredictResult> &ocr_result) {
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std::sort(ocr_result.begin(), ocr_result.end(), Utility::comparison_box);
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for (int i = 0; i < ocr_result.size() - 1; i++) {
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if (abs(ocr_result[i + 1].box[0][1] - ocr_result[i].box[0][1]) < 10 &&
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(ocr_result[i + 1].box[0][0] < ocr_result[i].box[0][0])) {
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std::swap(ocr_result[i], ocr_result[i + 1]);
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}
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}
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}
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} // namespace PaddleOCR
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