| | |
| | | #include <mutex> // std::mutex, std::unique_lock |
| | | #include <condition_variable> // std::condition_variable |
| | | |
| | | #ifdef WIN32 |
| | | #define OPENCV |
| | | #endif |
| | | |
| | | #include "yolo_v2_class.hpp" // imported functions from DLL |
| | | |
| | |
| | | void draw_boxes(cv::Mat mat_img, std::vector<bbox_t> result_vec, std::vector<std::string> obj_names, |
| | | unsigned int wait_msec = 0, int current_det_fps = -1, int current_cap_fps = -1) |
| | | { |
| | | int const colors[6][3] = { { 1,0,1 },{ 0,0,1 },{ 0,1,1 },{ 0,1,0 },{ 1,1,0 },{ 1,0,0 } }; |
| | | |
| | | for (auto &i : result_vec) { |
| | | cv::Scalar color(60, 160, 260); |
| | | int const offset = i.obj_id * 123457 % 6; |
| | | int const color_scale = 150 + (i.obj_id * 123457) % 100; |
| | | cv::Scalar color(colors[offset][0], colors[offset][1], colors[offset][2]); |
| | | color *= color_scale; |
| | | cv::rectangle(mat_img, cv::Rect(i.x, i.y, i.w, i.h), color, 5); |
| | | if (obj_names.size() > i.obj_id) { |
| | | std::string obj_name = obj_names[i.obj_id]; |
| | |
| | | std::ifstream file(filename); |
| | | std::vector<std::string> file_lines; |
| | | if (!file.is_open()) return file_lines; |
| | | for(std::string line; file >> line;) file_lines.push_back(line); |
| | | for(std::string line; getline(file, line);) file_lines.push_back(line); |
| | | std::cout << "object names loaded \n"; |
| | | return file_lines; |
| | | } |
| | |
| | | std::string const file_ext = filename.substr(filename.find_last_of(".") + 1); |
| | | std::string const protocol = filename.substr(0, 7); |
| | | if (file_ext == "avi" || file_ext == "mp4" || file_ext == "mjpg" || file_ext == "mov" || // video file |
| | | protocol == "rtsp://" || protocol == "http://" || protocol == "https:/") // video network stream |
| | | protocol == "rtmp://" || protocol == "rtsp://" || protocol == "http://" || protocol == "https:/") // video network stream |
| | | { |
| | | cv::Mat cap_frame, cur_frame, det_frame, write_frame; |
| | | std::shared_ptr<image_t> det_image; |
| | | std::vector<bbox_t> result_vec, thread_result_vec; |
| | | detector.nms = 0.02; // comment it - if track_id is not required |
| | | std::atomic<bool> consumed, videowrite_ready; |
| | |
| | | std::condition_variable cv; |
| | | std::chrono::steady_clock::time_point steady_start, steady_end; |
| | | cv::VideoCapture cap(filename); cap >> cur_frame; |
| | | int const video_fps = cap.get(CV_CAP_PROP_FPS); |
| | | cv::Size const frame_size = cur_frame.size(); |
| | | cv::VideoWriter output_video; |
| | | if (save_output_videofile) |
| | | output_video.open(out_videofile, CV_FOURCC('D', 'I', 'V', 'X'), cap.get(CV_CAP_PROP_FPS), cur_frame.size(), true); |
| | | output_video.open(out_videofile, CV_FOURCC('D', 'I', 'V', 'X'), std::max(35, video_fps), frame_size, true); |
| | | |
| | | while (!cur_frame.empty()) { |
| | | if (t_cap.joinable()) { |
| | |
| | | if(consumed) |
| | | { |
| | | std::unique_lock<std::mutex> lock(mtx); |
| | | cur_frame.copyTo(det_frame); |
| | | 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 |
| | | consumed = false; |
| | |
| | | // launch thread once |
| | | if (!t_detect.joinable()) { |
| | | t_detect = std::thread([&]() { |
| | | cv::Mat current_mat = det_frame.clone(); |
| | | auto current_image = det_image; |
| | | consumed = true; |
| | | while (!current_mat.empty()) { |
| | | auto result = detector.detect(current_mat, 0.24, true); |
| | | while (current_image.use_count() > 0) { |
| | | auto result = detector.detect_resized(*current_image, frame_size, 0.24, true); |
| | | ++fps_det_counter; |
| | | std::unique_lock<std::mutex> lock(mtx); |
| | | thread_result_vec = result; |
| | | current_mat = det_frame.clone(); |
| | | current_image = det_image; |
| | | consumed = true; |
| | | cv.notify_all(); |
| | | } |