// // Created by zx on 2023/11/24. // #include "detect_manager.h" Error_manager DetectManager::Init(const google::protobuf::RepeatedPtrField &tof_devices) { for (int device_index = 0; device_index < DeviceAzimuth::DEVICE_AZIMUTH_MAX; device_index++) { updateTrans((DeviceAzimuth)device_index, tof_devices[device_index].trans()); } m_thread = new std::thread(&DetectManager::run, this); m_condit.notify_all(true); return {}; } Error_manager DetectManager::Release() { stop(); return {}; } Error_manager DetectManager::updateTrans(const DeviceAzimuth &azimuth, const CoordinateTransformation3D &trans) { Eigen::Matrix4f rotaition = Eigen::Matrix4f::Identity(); Eigen::Matrix3f rotation_matrix3 = Eigen::Matrix3f::Identity(); rotation_matrix3 = Eigen::AngleAxisf(trans.yaw() * M_PI / 180.f, Eigen::Vector3f::UnitZ()) * Eigen::AngleAxisf(trans.pitch() * M_PI / 180.f, Eigen::Vector3f::UnitY()) * Eigen::AngleAxisf(trans.roll() * M_PI / 180.f, Eigen::Vector3f::UnitX()); Eigen::Vector3f move; move << trans.x(), trans.y(), trans.z(); rotaition.block<3, 3>(0, 0) = rotation_matrix3; rotaition.col(3) << move; LOG(INFO) << "device " << azimuth << " update rotation info: \n" << rotaition; rotation_matrix4[azimuth] = rotaition; return {}; } #include "tool/time.hpp" void DetectManager::run() { LOG(INFO) << "detect thread running in " << std::this_thread::get_id(); DetectResult m_detect_result_record; std::vector::Ptr> vct_wheel_cloud; for (int i = 0; i < DeviceAzimuth::DEVICE_AZIMUTH_MAX; i++) { vct_wheel_cloud.emplace_back(new pcl::PointCloud); } auto t_start_time = std::chrono::steady_clock::now(); std::chrono::duration cost = std::chrono::steady_clock::now() - t_start_time; RecordImages record_images; while (m_condit.is_alive()) { m_condit.wait(); // 参数初始化 cost = std::chrono::steady_clock::now() - t_start_time; std::this_thread::sleep_for(std::chrono::milliseconds(50 - std::min(49, cost.count() * 1000))); t_start_time = std::chrono::steady_clock::now(); if (m_condit.is_alive()) { std::vector have_cloud; DetectResult detect_result; JetStream::LabelYolo seg_results; for (int i = 0; i < DeviceAzimuth::DEVICE_AZIMUTH_MAX; i++) { vct_wheel_cloud[i]->clear(); } if (!LabelYoloDataBuffer::iter()->lock_exe(&LabelYoloDataBuffer::get, seg_results, 10)) { continue; } int lable = TimeTool::timeDropoutLL(TimeTool::TemporalPrecision::TemporalPrecisionMs, TimeTool::TemporalPrecision::TemporalPrecisionHour); LOG(INFO) << "after " << (lable - seg_results.label()) << "ms"; // 判断识别结果数量以及是否存图 int seg_num = 0; for (int device_index = 0; device_index < DeviceAzimuth::DEVICE_AZIMUTH_MAX; device_index++) { if (seg_results.boxes(device_index).confidence() > 0.7) { seg_num++; } } if (seg_num == 1 && record_images.name_1.empty()) { if (MatDataBuffer::iter()->lock_exe(&MatDataBuffer::getIr, seg_results.label(), record_images.img_1, 10)) { record_images.name_1 = TimeTool::timeDropoutStr(); } else { record_images.name_1.clear(); } } if (seg_num == 2 && record_images.name_2.empty()) { if (MatDataBuffer::iter()->lock_exe(&MatDataBuffer::getIr, seg_results.label(), record_images.img_2, 10)) { record_images.name_2 = TimeTool::timeDropoutStr(); } else { record_images.name_2.clear(); } } if (seg_num == 3 && record_images.name_3.empty()) { if (MatDataBuffer::iter()->lock_exe(&MatDataBuffer::getIr, seg_results.label(), record_images.img_3, 10)) { record_images.name_3 = TimeTool::timeDropoutStr(); } else { record_images.name_3.clear(); } } if (seg_num == 4 && record_images.name_4.empty()) { if (MatDataBuffer::iter()->lock_exe(&MatDataBuffer::getIr, seg_results.label(), record_images.img_4, 10)) { record_images.name_4 = TimeTool::timeDropoutStr(); } else { record_images.name_4.clear(); } } // 取高置信度识别结果 for (int device_index = 0; device_index < DeviceAzimuth::DEVICE_AZIMUTH_MAX; device_index++) { if (seg_results.boxes(device_index).confidence() < 0.9) { DLOG(INFO) << device_index << " empty"; continue; } cv::Mat pointMat; //LOG(INFO) << "b get data" << " empty"; if (MatDataBuffer::iter()->lock_exe(&MatDataBuffer::get, device_index, seg_results.label(), pointMat, 10)) { cv::imshow(std::to_string(device_index), pointMat); cv::waitKey(1); have_cloud.push_back(device_index); for (int row = 0; row < 480; row++) { for (int col = seg_results.boxes(device_index).lines(row).begin(); col < seg_results.boxes(device_index).lines(row).end(); col++) { vct_wheel_cloud[device_index]->emplace_back(pointMat.at(row, col)[0] * 0.001, pointMat.at(row, col)[1] * 0.001, pointMat.at(row, col)[2] * 0.001); } } pcl::transformPointCloud(*vct_wheel_cloud[device_index], *vct_wheel_cloud[device_index], rotation_matrix4[device_index]()); // Point3D_tool::WriteTxtCloud(ETC_PATH PROJECT_NAME "/data/cloud_" + std::to_string(device_index) + ".txt", vct_wheel_cloud[device_index]); } } // 点云处理 if (!have_cloud.empty()) { WheelCloudOptimize(vct_wheel_cloud, detect_result); cost = std::chrono::steady_clock::now() - t_start_time; DLOG(INFO) << "cost time is " << cost.count() * 1000 << " ms"; bool ceres_detect_ret = false; auto wheel_detect = detect_wheel_ceres::iter(); // 采用上次测量结果的数据 if (!m_detect_result_time_lock_data.timeout(0.5)) { detect_result = m_detect_result_time_lock_data(); detect_result.car.wheel_width = MIN(detect_result.car.wheel_width + 0.4, 2.5); } else { detect_result.car.wheel_width = 3; detect_result.car.wheel_base = 2.7; } // 根据车轮数采用不同的优化方式 if (m_detect_result_record.car.wheel_width < 1.0 || m_detect_result_record.car.wheel_base < 2.0 || have_cloud.size() > 2) { ceres_detect_ret = wheel_detect->detect_2Step(vct_wheel_cloud[DeviceAzimuth::DEVICE_AZIMUTH_LF], vct_wheel_cloud[DeviceAzimuth::DEVICE_AZIMUTH_RF], vct_wheel_cloud[DeviceAzimuth::DEVICE_AZIMUTH_LR], vct_wheel_cloud[DeviceAzimuth::DEVICE_AZIMUTH_RR], detect_result.car.wheels_center_x, detect_result.car.wheels_center_y, detect_result.car.theta, detect_result.car.wheel_base, detect_result.car.wheel_width,detect_result.car.front_wheels_theta, detect_result.car.loss); if ((m_detect_result_record.car.wheel_width < 1.0 && m_detect_result_record.car.wheel_base < 1.0 && have_cloud.size() == 2) || have_cloud.size() < 2) { detect_result.car.wheel_width = m_detect_result_record.car.wheel_width; detect_result.car.wheel_base = m_detect_result_record.car.wheel_base; } else if (have_cloud.size() == 2) { for (int device_index = 0; device_index < DeviceAzimuth::DEVICE_AZIMUTH_MAX; device_index++) { if (!vct_wheel_cloud[device_index]->empty()) { have_cloud.push_back(device_index); } } if (have_cloud[0] % 2 == have_cloud[1] %2 ) { detect_result.car.wheel_width = m_detect_result_record.car.wheel_width; } else { detect_result.car.wheel_base = m_detect_result_record.car.wheel_base; } } } else { ceres_detect_ret = wheel_detect->detect_dynP(vct_wheel_cloud[DeviceAzimuth::DEVICE_AZIMUTH_LF], vct_wheel_cloud[DeviceAzimuth::DEVICE_AZIMUTH_RF], vct_wheel_cloud[DeviceAzimuth::DEVICE_AZIMUTH_LR], vct_wheel_cloud[DeviceAzimuth::DEVICE_AZIMUTH_RR], detect_result.car.wheels_center_x, detect_result.car.wheels_center_y, detect_result.car.theta, m_detect_result_record.car.wheel_base, m_detect_result_record.car.wheel_width,detect_result.car.front_wheels_theta, detect_result.car.loss); detect_result.car.wheel_base = m_detect_result_record.car.wheel_base; detect_result.car.wheel_width = m_detect_result_record.car.wheel_width; } // 如果车辆运动,不断刷新运动时间,如果由运动转为静止则刷新运动状态到静止 float move_distance = detect_result.car.wheels_center_y - m_detect_result_record.car.wheels_center_y; if (fabs(move_distance) > 0.1) { move_statu = true; } else if (move_statu()) { move_statu = false; } if (ceres_detect_ret) { // 记录下测量结果 m_detect_result_record = detect_result; detect_statu = Measure_OK; m_detect_result_time_lock_data = m_detect_result_record; } else { detect_statu = Measure_Failture; } } cost = std::chrono::steady_clock::now() - t_start_time; DLOG(INFO) << "cost time is " << cost.count() * 1000 << " ms"; } else { cv::destroyAllWindows(); } } LOG(INFO) << "detect thread " << std::this_thread::get_id() << " closed."; } void DetectManager::stop() { //杀死线程, m_condit.kill_all(); //在线程join结束之后, 就可以可以回收线程内存资源 m_thread->join(); delete m_thread; m_thread = nullptr; } Error_manager DetectManager::WheelCloudOptimize(std::vector::Ptr> &vct_wheel_cloud, DetectResult &result) { //下采样 pcl::VoxelGrid vox; //创建滤波对象 vox.setLeafSize(0.03f, 0.03f, 0.03f); //设置滤波时创建的体素体积为1cm的立方体 pcl::PointCloud::Ptr filtered_cloud(new pcl::PointCloud); for (int device_index = 0; device_index < DeviceAzimuth::DEVICE_AZIMUTH_MAX; device_index++) { if (vct_wheel_cloud[device_index]->empty()) { continue;} vox.setInputCloud(vct_wheel_cloud[device_index]); //设置需要过滤的点云给滤波对象 vox.filter(*vct_wheel_cloud[device_index]); //执行滤波处理,存储输出 } return {}; } MeasureStatu DetectManager::getMeasureResult(DetectManager::DetectResult &result) { if (detect_statu() != MeasureStatu::Measure_OK) { return detect_statu(); } if (m_detect_result_time_lock_data.timeout()) { return MeasureStatu::Measure_Failture; } result = m_detect_result_time_lock_data(); return MeasureStatu::Measure_OK; } Error_manager DetectManager::carMoveStatus() { if (move_statu.timeout(3) && !move_statu()) { return {FAILED, NORMAL}; } return {}; } Error_manager DetectManager::Stop() { m_condit.kill_all(); m_thread->join(); delete m_thread; m_thread = nullptr; return {}; } Error_manager DetectManager::Continue() { m_condit.reset(); m_thread = new std::thread(&DetectManager::run, this); m_condit.notify_all(true); return {}; }