| | |
| | | |
| | | #ifdef _WIN32 |
| | | #define OPENCV |
| | | #include "windows.h" |
| | | #endif |
| | | |
| | | #define TRACK_OPTFLOW |
| | | //#define TRACK_OPTFLOW |
| | | |
| | | #include "yolo_v2_class.hpp" // imported functions from DLL |
| | | |
| | |
| | | |
| | | int main(int argc, char *argv[]) |
| | | { |
| | | std::string names_file = "data/voc.names"; |
| | | std::string cfg_file = "cfg/yolo-voc.cfg"; |
| | | std::string weights_file = "yolo-voc.weights"; |
| | | std::string filename; |
| | | if (argc > 1) filename = argv[1]; |
| | | |
| | | //Detector detector("cfg/yolo-voc.cfg", "yolo-voc.weights"); |
| | | Detector detector("tiny-yolo-voc_air.cfg", "backup/tiny-yolo-voc_air_5000.weights"); |
| | | if (argc > 4) { //voc.names yolo-voc.cfg yolo-voc.weights test.mp4 |
| | | names_file = argv[1]; |
| | | cfg_file = argv[2]; |
| | | weights_file = argv[3]; |
| | | filename = argv[4]; |
| | | } |
| | | else if (argc > 1) filename = argv[1]; |
| | | |
| | | auto obj_names = objects_names_from_file("data/voc.names"); |
| | | Detector detector(cfg_file, weights_file); |
| | | |
| | | auto obj_names = objects_names_from_file(names_file); |
| | | std::string out_videofile = "result.avi"; |
| | | bool const save_output_videofile = false; |
| | | bool const save_output_videofile = true; |
| | | #ifdef TRACK_OPTFLOW |
| | | Tracker_optflow tracker_flow; |
| | | detector.wait_stream = true; |
| | | #endif |
| | | |
| | | while (true) |
| | |
| | | det_image = detector.mat_to_image_resize(cur_frame); |
| | | result_vec = thread_result_vec; |
| | | result_vec = detector.tracking(result_vec); // comment it - if track_id is not required |
| | | |
| | | #ifdef TRACK_OPTFLOW |
| | | // track optical flow |
| | | if (track_optflow_queue.size() > 0) { |
| | |
| | | auto current_image = det_image; |
| | | consumed = true; |
| | | while (current_image.use_count() > 0) { |
| | | //std::vector<bbox_t> result; |
| | | auto result = detector.detect_resized(*current_image, frame_size, 0.24, false); // true |
| | | //Sleep(200); |
| | | Sleep(50); |
| | | ++fps_det_counter; |
| | | std::unique_lock<std::mutex> lock(mtx); |
| | | thread_result_vec = result; |
| | | current_image = det_image; |
| | | consumed = true; |
| | | cv_detected.notify_all(); |
| | | while (consumed) cv_pre_tracked.wait(lock); |
| | | if(detector.wait_stream) |
| | | while (consumed) cv_pre_tracked.wait(lock); |
| | | } |
| | | }); |
| | | } |
| | |
| | | result_vec = tracker_flow.tracking_flow(cur_frame, result_vec); // track optical flow |
| | | #endif |
| | | |
| | | draw_boxes(cur_frame, result_vec, obj_names, 3, current_det_fps, current_cap_fps); |
| | | draw_boxes(cur_frame, result_vec, obj_names, 3, current_det_fps, current_cap_fps); // 3 or 16ms |
| | | //show_console_result(result_vec, obj_names); |
| | | |
| | | if (output_video.isOpened() && videowrite_ready) { |