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106 lines
3.4 KiB
106 lines
3.4 KiB
#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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#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, unsigned int wait_msec = 0) { |
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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, 3); |
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if(obj_names.size() > i.obj_id) |
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putText(mat_img, obj_names[i.obj_id], cv::Point2f(i.x, i.y - 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 1, color); |
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if(i.track_id > 0) |
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putText(mat_img, std::to_string(i.track_id), cv::Point2f(i.x+5, i.y + 15), cv::FONT_HERSHEY_COMPLEX_SMALL, 1, color); |
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} |
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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() |
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{ |
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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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while (true) |
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{ |
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std::string filename; |
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std::cout << "input image or video filename: "; |
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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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if (file_ext == "avi" || file_ext == "mp4" || file_ext == "mjpg" || file_ext == "mov") { // video file |
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cv::Mat frame; |
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detector.nms = 0.02; // comment it - if track_id is not required |
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for(cv::VideoCapture cap(filename); cap >> frame, cap.isOpened();) { |
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std::vector<bbox_t> result_vec = detector.detect(frame, 0.2); |
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result_vec = detector.tracking(result_vec); // comment it - if track_id is not required |
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draw_boxes(frame, result_vec, obj_names, 3); |
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show_result(result_vec, obj_names); |
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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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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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} |
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return 0; |
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} |