| | |
| | | YOLODLL_API int get_net_height() const; |
| | | |
| | | YOLODLL_API std::vector<bbox_t> tracking_id(std::vector<bbox_t> cur_bbox_vec, bool const change_history = true, |
| | | int const frames_story = 6, int const max_dist = 150); |
| | | int const frames_story = 10, int const max_dist = 150); |
| | | |
| | | #ifdef OPENCV |
| | | std::vector<bbox_t> detect(cv::Mat mat, float thresh = 0.2, bool use_mean = false) |
| | |
| | | }; |
| | | |
| | | |
| | | |
| | | #if defined(TRACK_OPTFLOW) && defined(OPENCV) |
| | | |
| | | #include <opencv2/cudaoptflow.hpp> |
| | |
| | | const int flow_error; |
| | | |
| | | |
| | | Tracker_optflow(int _gpu_id = 0, int win_size = 9, int max_level = 3, int iterations = 2000, int _flow_error = -1) : |
| | | Tracker_optflow(int _gpu_id = 0, int win_size = 9, int max_level = 3, int iterations = 8000, int _flow_error = -1) : |
| | | gpu_count(cv::cuda::getCudaEnabledDeviceCount()), gpu_id(std::min(_gpu_id, gpu_count-1)), |
| | | flow_error((_flow_error > 0)? _flow_error:(win_size*4)) |
| | | { |
| | |
| | | float moved_y = cur_key_pt.y - prev_key_pt.y; |
| | | |
| | | if (abs(moved_x) < 100 && abs(moved_y) < 100 && good_bbox_vec_flags[i]) |
| | | if (!check_error || (err_cpu.at<float>(0, i) < flow_error && status_cpu.at<unsigned char>(0, i) != 0)) |
| | | if (err_cpu.at<float>(0, i) < flow_error && status_cpu.at<unsigned char>(0, i) != 0) |
| | | { |
| | | cur_bbox_vec[i].x += moved_x + 0.5; |
| | | cur_bbox_vec[i].y += moved_y + 0.5; |
| | |
| | | } |
| | | else good_bbox_vec_flags[i] = false; |
| | | else good_bbox_vec_flags[i] = false; |
| | | |
| | | //if(!check_error && !good_bbox_vec_flags[i]) result_bbox_vec.push_back(cur_bbox_vec[i]); |
| | | } |
| | | } |
| | | |
| | |
| | | |
| | | class Tracker_optflow {}; |
| | | |
| | | #endif // defined(TRACK_OPTFLOW) && defined(OPENCV) |
| | | #endif // defined(TRACK_OPTFLOW) && defined(OPENCV) |
| | | |
| | | |
| | | #ifdef OPENCV |
| | | |
| | | cv::Scalar obj_id_to_color(int obj_id) { |
| | | int const colors[6][3] = { { 1,0,1 },{ 0,0,1 },{ 0,1,1 },{ 0,1,0 },{ 1,1,0 },{ 1,0,0 } }; |
| | | int const offset = obj_id * 123457 % 6; |
| | | int const color_scale = 150 + (obj_id * 123457) % 100; |
| | | cv::Scalar color(colors[offset][0], colors[offset][1], colors[offset][2]); |
| | | color *= color_scale; |
| | | return color; |
| | | } |
| | | |
| | | class preview_boxes_t { |
| | | enum { frames_history = 30 }; // how long to keep the history saved |
| | | |
| | | struct preview_box_track_t { |
| | | unsigned int track_id, obj_id, last_showed_frames_ago; |
| | | bool current_detection; |
| | | bbox_t bbox; |
| | | cv::Mat mat_obj, mat_resized_obj; |
| | | preview_box_track_t() : track_id(0), obj_id(0), last_showed_frames_ago(frames_history), current_detection(false) {} |
| | | }; |
| | | std::vector<preview_box_track_t> preview_box_track_id; |
| | | size_t const preview_box_size, bottom_offset; |
| | | bool const one_off_detections; |
| | | public: |
| | | preview_boxes_t(size_t _preview_box_size = 100, size_t _bottom_offset = 100, bool _one_off_detections = false) : |
| | | preview_box_size(_preview_box_size), bottom_offset(_bottom_offset), one_off_detections(_one_off_detections) |
| | | {} |
| | | |
| | | void set(cv::Mat src_mat, std::vector<bbox_t> result_vec) |
| | | { |
| | | size_t const count_preview_boxes = src_mat.cols / preview_box_size; |
| | | if (preview_box_track_id.size() != count_preview_boxes) preview_box_track_id.resize(count_preview_boxes); |
| | | |
| | | // increment frames history |
| | | for (auto &i : preview_box_track_id) |
| | | i.last_showed_frames_ago = std::min((unsigned)frames_history, i.last_showed_frames_ago + 1); |
| | | |
| | | // occupy empty boxes |
| | | for (auto &k : result_vec) { |
| | | bool found = false; |
| | | // find the same (track_id) |
| | | for (auto &i : preview_box_track_id) { |
| | | if (i.track_id == k.track_id) { |
| | | if (!one_off_detections) i.last_showed_frames_ago = 0; // for tracked objects |
| | | found = true; |
| | | break; |
| | | } |
| | | } |
| | | if (!found) { |
| | | // find empty box |
| | | for (auto &i : preview_box_track_id) { |
| | | if (i.last_showed_frames_ago == frames_history) { |
| | | if (!one_off_detections && k.frames_counter == 0) break; // don't show if obj isn't tracked yet |
| | | i.track_id = k.track_id; |
| | | i.obj_id = k.obj_id; |
| | | i.bbox = k; |
| | | i.last_showed_frames_ago = 0; |
| | | break; |
| | | } |
| | | } |
| | | } |
| | | } |
| | | |
| | | // draw preview box (from old or current frame) |
| | | for (size_t i = 0; i < preview_box_track_id.size(); ++i) |
| | | { |
| | | // get object image |
| | | cv::Mat dst = preview_box_track_id[i].mat_resized_obj; |
| | | preview_box_track_id[i].current_detection = false; |
| | | |
| | | for (auto &k : result_vec) { |
| | | if (preview_box_track_id[i].track_id == k.track_id) { |
| | | if (one_off_detections && preview_box_track_id[i].last_showed_frames_ago > 0) { |
| | | preview_box_track_id[i].last_showed_frames_ago = frames_history; break; |
| | | } |
| | | bbox_t b = k; |
| | | cv::Rect r(b.x, b.y, b.w, b.h); |
| | | cv::Rect img_rect(cv::Point2i(0, 0), src_mat.size()); |
| | | cv::Rect rect_roi = r & img_rect; |
| | | if (rect_roi.width > 1 || rect_roi.height > 1) { |
| | | cv::Mat roi = src_mat(rect_roi); |
| | | cv::resize(roi, dst, cv::Size(preview_box_size, preview_box_size), cv::INTER_NEAREST); |
| | | preview_box_track_id[i].mat_obj = roi.clone(); |
| | | preview_box_track_id[i].mat_resized_obj = dst.clone(); |
| | | preview_box_track_id[i].current_detection = true; |
| | | preview_box_track_id[i].bbox = k; |
| | | } |
| | | break; |
| | | } |
| | | } |
| | | } |
| | | } |
| | | |
| | | |
| | | void draw(cv::Mat draw_mat, bool show_small_boxes = false) |
| | | { |
| | | // draw preview box (from old or current frame) |
| | | for (size_t i = 0; i < preview_box_track_id.size(); ++i) |
| | | { |
| | | auto &prev_box = preview_box_track_id[i]; |
| | | |
| | | // draw object image |
| | | cv::Mat dst = prev_box.mat_resized_obj; |
| | | if (prev_box.last_showed_frames_ago < frames_history && |
| | | dst.size() == cv::Size(preview_box_size, preview_box_size)) |
| | | { |
| | | cv::Rect dst_rect_roi(cv::Point2i(i * preview_box_size, draw_mat.rows - bottom_offset), dst.size()); |
| | | cv::Mat dst_roi = draw_mat(dst_rect_roi); |
| | | dst.copyTo(dst_roi); |
| | | |
| | | cv::Scalar color = obj_id_to_color(prev_box.obj_id); |
| | | int thickness = (prev_box.current_detection) ? 5 : 1; |
| | | cv::rectangle(draw_mat, dst_rect_roi, color, thickness); |
| | | |
| | | unsigned int const track_id = prev_box.track_id; |
| | | std::string track_id_str = (track_id > 0) ? std::to_string(track_id) : ""; |
| | | putText(draw_mat, track_id_str, dst_rect_roi.tl() - cv::Point2i(-4, 5), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.9, cv::Scalar(0, 0, 0), 2); |
| | | |
| | | std::string size_str = std::to_string(prev_box.bbox.w) + "x" + std::to_string(prev_box.bbox.h); |
| | | putText(draw_mat, size_str, dst_rect_roi.tl() + cv::Point2i(0, 12), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, cv::Scalar(0, 0, 0), 1); |
| | | |
| | | if (!one_off_detections && prev_box.current_detection) { |
| | | cv::line(draw_mat, dst_rect_roi.tl() + cv::Point2i(preview_box_size, 0), |
| | | cv::Point2i(prev_box.bbox.x, prev_box.bbox.y + prev_box.bbox.h), |
| | | color); |
| | | } |
| | | |
| | | if (one_off_detections && show_small_boxes) { |
| | | cv::Rect src_rect_roi(cv::Point2i(prev_box.bbox.x, prev_box.bbox.y), |
| | | cv::Size(prev_box.bbox.w, prev_box.bbox.h)); |
| | | unsigned int const color_history = (255 * prev_box.last_showed_frames_ago) / frames_history; |
| | | color = cv::Scalar(255 - 3 * color_history, 255 - 2 * color_history, 255 - 1 * color_history); |
| | | if (prev_box.mat_obj.size() == src_rect_roi.size()) { |
| | | prev_box.mat_obj.copyTo(draw_mat(src_rect_roi)); |
| | | } |
| | | cv::rectangle(draw_mat, src_rect_roi, color, thickness); |
| | | putText(draw_mat, track_id_str, src_rect_roi.tl() - cv::Point2i(0, 10), cv::FONT_HERSHEY_COMPLEX_SMALL, 0.8, cv::Scalar(0, 0, 0), 1); |
| | | } |
| | | } |
| | | } |
| | | } |
| | | }; |
| | | #endif // OPENCV |