#include <iostream>
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#include <iomanip>
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#include <string>
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#include <vector>
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#include <fstream>
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#include <thread>
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#include <atomic>
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#define OPENCV
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#include "yolo_v2_class.hpp" // imported functions from DLL
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#ifdef OPENCV
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#include <opencv2/opencv.hpp> // C++
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#include "opencv2/core/version.hpp"
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#ifndef CV_VERSION_EPOCH
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#include "opencv2/videoio/videoio.hpp"
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#pragma comment(lib, "opencv_world320.lib")
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#else
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#pragma comment(lib, "opencv_core2413.lib")
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#pragma comment(lib, "opencv_imgproc2413.lib")
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#pragma comment(lib, "opencv_highgui2413.lib")
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#endif
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void draw_boxes(cv::Mat mat_img, std::vector<bbox_t> result_vec, std::vector<std::string> obj_names,
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unsigned int wait_msec = 0, int current_fps = -1)
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{
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for (auto &i : result_vec) {
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cv::Scalar color(60, 160, 260);
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cv::rectangle(mat_img, cv::Rect(i.x, i.y, i.w, i.h), color, 5);
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if (obj_names.size() > i.obj_id) {
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std::string obj_name = obj_names[i.obj_id];
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if (i.track_id > 0) obj_name += " - " + std::to_string(i.track_id);
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cv::Size const text_size = getTextSize(obj_name, cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, 2, 0);
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int const max_width = (text_size.width > i.w + 2) ? text_size.width : (i.w + 2);
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cv::rectangle(mat_img, cv::Point2f(std::max((int)i.x - 3, 0), std::max((int)i.y - 30, 0)),
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cv::Point2f(std::min((int)i.x + max_width, mat_img.cols-1), std::min((int)i.y, mat_img.rows-1)),
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color, CV_FILLED, 8, 0);
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putText(mat_img, obj_name, cv::Point2f(i.x, i.y - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(0, 0, 0), 2);
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}
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}
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if(current_fps >= 0)
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putText(mat_img, "FPS: " + std::to_string(current_fps), cv::Point2f(10, 20), cv::FONT_HERSHEY_COMPLEX_SMALL, 1.2, cv::Scalar(50, 255, 0), 2);
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cv::imshow("window name", mat_img);
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cv::waitKey(wait_msec);
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}
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#endif // OPENCV
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void show_result(std::vector<bbox_t> const result_vec, std::vector<std::string> const obj_names) {
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for (auto &i : result_vec) {
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if (obj_names.size() > i.obj_id) std::cout << obj_names[i.obj_id] << " - ";
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std::cout << "obj_id = " << i.obj_id << ", x = " << i.x << ", y = " << i.y
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<< ", w = " << i.w << ", h = " << i.h
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<< std::setprecision(3) << ", prob = " << i.prob << std::endl;
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}
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}
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std::vector<std::string> objects_names_from_file(std::string const filename) {
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std::ifstream file(filename);
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std::vector<std::string> file_lines;
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if (!file.is_open()) return file_lines;
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for(std::string line; file >> line;) file_lines.push_back(line);
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std::cout << "object names loaded \n";
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return file_lines;
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}
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int main(int argc, char *argv[])
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{
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std::string filename;
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if (argc > 1) filename = argv[1];
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Detector detector("yolo-voc.cfg", "yolo-voc.weights");
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auto obj_names = objects_names_from_file("data/voc.names");
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std::string out_videofile = "result.avi";
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bool const save_output_videofile = false;
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while (true)
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{
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std::cout << "input image or video filename: ";
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if(filename.size() == 0) std::cin >> filename;
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if (filename.size() == 0) break;
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try {
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#ifdef OPENCV
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std::string const file_ext = filename.substr(filename.find_last_of(".") + 1);
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std::string const protocol = filename.substr(0, 7);
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if (file_ext == "avi" || file_ext == "mp4" || file_ext == "mjpg" || file_ext == "mov" || // video file
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protocol == "rtsp://" || protocol == "http://" || protocol == "https:/") // video network stream
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{
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cv::Mat frame, prev_frame, det_frame;
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std::vector<bbox_t> result_vec, thread_result_vec;
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detector.nms = 0.02; // comment it - if track_id is not required
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std::thread td([]() {});
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std::atomic<int> ready_flag;
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ready_flag = true;
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std::chrono::steady_clock::time_point steady_start, steady_end;
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int fps_counter = 0, current_fps = 0;
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cv::VideoWriter output_video;
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for (cv::VideoCapture cap(filename); cap >> frame, cap.isOpened();) {
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if(!output_video.isOpened() && save_output_videofile)
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output_video.open(out_videofile, CV_FOURCC('D','I','V','X'), cap.get(CV_CAP_PROP_FPS), frame.size(), true);
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if (ready_flag || (protocol != "rtsp://" && protocol != "http://" && protocol != "https:/")) {
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td.join();
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++fps_counter;
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ready_flag = false;
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result_vec = thread_result_vec;
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result_vec = detector.tracking(result_vec); // comment it - if track_id is not required
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det_frame = frame.clone();
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td = std::thread([&]() { thread_result_vec = detector.detect(det_frame, 0.24, true); ready_flag = true; });
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}
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if (!prev_frame.empty()) {
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steady_end = std::chrono::steady_clock::now();
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if (std::chrono::duration<double>(steady_end - steady_start).count() >= 1) {
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current_fps = fps_counter;
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steady_start = steady_end;
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fps_counter = 0;
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}
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draw_boxes(prev_frame, result_vec, obj_names, 3, current_fps);
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show_result(result_vec, obj_names);
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if (output_video.isOpened())
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output_video << prev_frame;
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}
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prev_frame = frame.clone();
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}
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}
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else if (file_ext == "txt") { // list of image files
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std::ifstream file(filename);
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if (!file.is_open()) std::cout << "File not found! \n";
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else
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for (std::string line; file >> line;) {
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std::cout << line << std::endl;
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cv::Mat mat_img = cv::imread(line);
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std::vector<bbox_t> result_vec = detector.detect(mat_img);
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show_result(result_vec, obj_names);
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//draw_boxes(mat_img, result_vec, obj_names);
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//cv::imwrite("res_" + line, mat_img);
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}
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}
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else { // image file
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cv::Mat mat_img = cv::imread(filename);
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std::vector<bbox_t> result_vec = detector.detect(mat_img);
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result_vec = detector.tracking(result_vec); // comment it - if track_id is not required
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draw_boxes(mat_img, result_vec, obj_names);
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show_result(result_vec, obj_names);
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}
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#else
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//std::vector<bbox_t> result_vec = detector.detect(filename);
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auto img = detector.load_image(filename);
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std::vector<bbox_t> result_vec = detector.detect(img);
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detector.free_image(img);
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show_result(result_vec, obj_names);
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#endif
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}
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catch (std::exception &e) { std::cerr << "exception: " << e.what() << "\n"; getchar(); }
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catch (...) { std::cerr << "unknown exception \n"; getchar(); }
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filename.clear();
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}
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return 0;
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}
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