#include "DetectPresenter.h" #include "rodAndBarDetection_Export.h" #include "AlgoParamConverter.h" #include "IHandEyeCalib.h" #include #define _USE_MATH_DEFINES #include #include #include #include #include namespace { HECEulerOrder ToHandEyeEulerOrder(int eulerOrder) { switch (eulerOrder) { case 10: return HECEulerOrder::XYZ; case 11: return HECEulerOrder::ZYX; case 12: return HECEulerOrder::ZXY; case 13: return HECEulerOrder::YXZ; case 14: return HECEulerOrder::YZX; case 15: return HECEulerOrder::XZY; default: LOG_WARNING("Unsupported euler order %d, fallback to 11(sZYX)\n", eulerOrder); return HECEulerOrder::ZYX; } } } // namespace DetectPresenter::DetectPresenter(/* args */) { LOG_DEBUG("DetectPresenter Init algo ver: %s\n", wd_rodAndBarDetectionVersion()); } DetectPresenter::~DetectPresenter() { } QString DetectPresenter::GetAlgoVersion() { return QString(wd_rodAndBarDetectionVersion()); } int DetectPresenter::DetectRod( int cameraIndex, std::vector>& laserLines, const VrAlgorithmParams& algorithmParams, const VrDebugParam& debugParam, LaserDataLoader& dataLoader, const double clibMatrix[16], int eulerOrder, int dirVectorInvert, int longAxisDir, DetectionResult& detectionResult) { if (laserLines.empty()) { LOG_WARNING("No laser lines data available\n"); return ERR_CODE(DEV_DATA_INVALID); } // 获取当前相机的校准参数 VrCameraPlaneCalibParam cameraCalibParamValue; const VrCameraPlaneCalibParam* cameraCalibParam = nullptr; if (algorithmParams.planeCalibParam.GetCameraCalibParam(cameraIndex, cameraCalibParamValue)) { cameraCalibParam = &cameraCalibParamValue; } // 保存debug数据 std::string timeStamp = CVrDateUtils::GetNowTime(); if(debugParam.enableDebug && debugParam.savePointCloud){ LOG_INFO("[Algo Thread] Debug mode is enabled, saving point cloud data\n"); // 获取当前时间戳,格式为YYYYMMDDHHMMSS std::string fileName = debugParam.debugOutputPath + "/Laserline_" + std::to_string(cameraIndex) + "_" + timeStamp + ".txt"; // 直接使用统一格式保存数据 dataLoader.SaveLaserScanData(fileName, laserLines, laserLines.size(), 0.0, 0, 0); } int nRet = SUCCESS; // 转换为算法需要的XYZ格式 std::vector> xyzData; int convertResult = dataLoader.ConvertToSVzNL3DPosition(laserLines, xyzData); if (convertResult != SUCCESS || xyzData.empty()) { LOG_WARNING("Failed to convert data to XYZ format or no XYZ data available\n"); return ERR_CODE(DEV_DATA_INVALID); } // 使用 AlgoParamConverter 进行参数转换 SSX_rodParam rodParam = AlgoParamConverter::ToAlgoParam(algorithmParams.rodParam); SSG_cornerParam cornerParam = AlgoParamConverter::ToAlgoParam(algorithmParams.cornerParam); SSG_treeGrowParam growParam = AlgoParamConverter::ToAlgoParam(algorithmParams.growParam); SSG_outlierFilterParam filterParam = AlgoParamConverter::ToAlgoParam(algorithmParams.filterParam); // 构建平面标定参数 SSG_planeCalibPara poseCalibPara = AlgoParamConverter::ToAlgoPlaneCalibParam(cameraCalibParam); if(debugParam.enableDebug && debugParam.printDetailLog) { AlgoParamConverter::LogAlgoParams("[Algo Thread]", rodParam, cornerParam, filterParam, growParam, clibMatrix); } int errCode = 0; CVrTimeUtils oTimeUtils; LOG_DEBUG("before sx_rodPositioning \n"); // 调用棒材定位算法 std::vector rodInfo; sx_rodPositioning( xyzData, poseCalibPara, cornerParam, filterParam, growParam, rodParam, rodInfo, &errCode); LOG_DEBUG("after sx_rodPositioning \n"); LOG_INFO("sx_rodPositioning: detected %zu rods, err=%d runtime=%.3fms\n", rodInfo.size(), errCode, oTimeUtils.GetElapsedTimeInMilliSec()); ERR_CODE_RETURN(errCode); std::unique_ptr handEyeCalib( CreateHandEyeCalibInstance(), DestroyHandEyeCalibInstance); if (!handEyeCalib) { LOG_ERROR("Failed to create HandEyeCalib instance\n"); return ERR_CODE(DEV_NOT_FIND); } const HECCalibResult calibResult = HECCalibResult::fromHomogeneousArray(clibMatrix); const HECEulerOrder hecEulerOrder = ToHandEyeEulerOrder(eulerOrder); // 构建检测结果:生成点云图像 // 1. 获取所有棒材的中心点用于可视化 std::vector> objOps; std::vector rodCenters; for (const auto& rod : rodInfo) { SVzNL3DPoint pt; pt.x = rod.center.x; pt.y = rod.center.y; pt.z = rod.center.z; rodCenters.push_back(pt); } if (!rodCenters.empty()) { objOps.push_back(rodCenters); } // 从点云数据生成投影图像(10cm边界),同时获取点云原始范围 double margin = 100.0; // 10cm = 100mm double xMin, xMax, yMin, yMax; detectionResult.image = PointCloudImageUtils::GeneratePointCloudRetPointImage(xyzData, objOps, margin, &xMin, &xMax, &yMin, &yMax); // 在图像上绘制棒材的轴向方向线 if (!detectionResult.image.isNull() && !rodInfo.empty()) { QPainter painter(&detectionResult.image); painter.setRenderHint(QPainter::Antialiasing); // 扩展边界(与GeneratePointCloudRetPointImage相同) xMin -= margin; xMax += margin; yMin -= margin; yMax += margin; // 使用与GeneratePointCloudRetPointImage相同的参数 int imgRows = detectionResult.image.height(); int imgCols = detectionResult.image.width(); int x_skip = 50; int y_skip = 50; // 计算投影比例(与PointCloudImageUtils相同的方式) double y_rows = (double)(imgRows - y_skip * 2); double x_cols = (double)(imgCols - x_skip * 2); double x_scale = (xMax - xMin) / x_cols; double y_scale = (yMax - yMin) / y_rows; // 使用统一的比例尺 double scale = std::max(x_scale, y_scale); x_scale = scale; y_scale = scale; // 计算点云在图像中居中的偏移量(与PointCloudImageUtils一致) double cloudWidth = (xMax - xMin) / scale; double cloudHeight = (yMax - yMin) / scale; int x_offset = x_skip + (int)((x_cols - cloudWidth) / 2); int y_offset = y_skip + (int)((y_rows - cloudHeight) / 2); // 转换3D坐标到图像坐标的lambda函数(使用居中偏移) auto toImageCoord = [&](const SVzNL3DPoint& pt) -> QPointF { int px = (int)((pt.x - xMin) / x_scale + x_offset); int py = (int)((pt.y - yMin) / y_scale + y_offset); return QPointF(px, py); }; // 绘制棒材的轴向方向线 for (const auto& rod : rodInfo) { // 绘制轴向方向线(红色) double len = 60; QPen axisPen(QColor(255, 0, 0), 2); painter.setPen(axisPen); SVzNL3DPoint pt0 = { rod.center.x - len * rod.axialDir.x, rod.center.y - len * rod.axialDir.y, rod.center.z - len * rod.axialDir.z }; SVzNL3DPoint pt1 = { rod.center.x + len * rod.axialDir.x, rod.center.y + len * rod.axialDir.y, rod.center.z + len * rod.axialDir.z }; QPointF imgPt0 = toImageCoord(pt0); QPointF imgPt1 = toImageCoord(pt1); painter.drawLine(imgPt0, imgPt1); // 绘制起点到终点线段(绿色) QPen segPen(QColor(0, 255, 0), 2); painter.setPen(segPen); SVzNL3DPoint startPt = { rod.startPt.x, rod.startPt.y, rod.startPt.z }; SVzNL3DPoint endPt = { rod.endPt.x, rod.endPt.y, rod.endPt.z }; QPointF imgStart = toImageCoord(startPt); QPointF imgEnd = toImageCoord(endPt); painter.drawLine(imgStart, imgEnd); } } // 转换检测结果为UI显示格式(使用机械臂坐标系数据) for (size_t i = 0; i < rodInfo.size(); i++) { const auto& rod = rodInfo[i]; LOG_INFO("[Algo Thread] Rod %zu Eye Center: X=%.2f, Y=%.2f, Z=%.2f\n", i, rod.center.x, rod.center.y, rod.center.z); LOG_INFO("[Algo Thread] Rod %zu Input X seed: [%.6f, %.6f, %.6f]\n", i, rod.axialDir.x, rod.axialDir.y, rod.axialDir.z); LOG_INFO("[Algo Thread] Rod %zu Input Z seed: [%.6f, %.6f, %.6f]\n", i, rod.normalDir.x, rod.normalDir.y, rod.normalDir.z); HECPoseResult poseResult; bool validPose = handEyeCalib->TransformPose( calibResult, HECPoint3D(rod.center.x, rod.center.y, rod.center.z), HECPoint3D(rod.axialDir.x, rod.axialDir.y, rod.axialDir.z), HECPoint3D(rod.normalDir.x, rod.normalDir.y, rod.normalDir.z), dirVectorInvert, hecEulerOrder, longAxisDir == 1 ? HECLongAxisDir::AxisY : HECLongAxisDir::AxisX, poseResult); if (!validPose) { LOG_WARNING("[Algo Thread] Rod %zu has invalid axial/normal direction, use zero pose\n", i); } double rollDeg = 0.0, pitchDeg = 0.0, yawDeg = 0.0; poseResult.angles.toDegrees(rollDeg, pitchDeg, yawDeg); // 创建位置数据(使用转换后的机械臂坐标) RodPosition pos; pos.roll = rollDeg; pos.pitch = pitchDeg; pos.yaw = yawDeg; pos.x = poseResult.position.x; pos.y = poseResult.position.y; pos.z = poseResult.position.z; detectionResult.positions.push_back(pos); // 保存棒材信息 RodInfo info; info.centerX = poseResult.position.x; info.centerY = poseResult.position.y; info.centerZ = poseResult.position.z; info.axialDirX = rod.axialDir.x; info.axialDirY = rod.axialDir.y; info.axialDirZ = rod.axialDir.z; info.normalDirX = rod.normalDir.x; info.normalDirY = rod.normalDir.y; info.normalDirZ = rod.normalDir.z; info.startPtX = rod.startPt.x; info.startPtY = rod.startPt.y; info.startPtZ = rod.startPt.z; info.endPtX = rod.endPt.x; info.endPtY = rod.endPt.y; info.endPtZ = rod.endPt.z; detectionResult.rodInfoList.push_back(info); // Print key values for coordinate transform debugging LOG_INFO("[Algo Thread] Rod %zu Robot Pose: X=%.2f, Y=%.2f, Z=%.2f, Roll=%.6f, Pitch=%.6f, Yaw=%.6f\n", i, pos.x, pos.y, pos.z, pos.roll, pos.pitch, pos.yaw); } if(debugParam.enableDebug && debugParam.saveDebugImage){ // 获取当前时间戳,格式为YYYYMMDDHHMMSS std::string fileName = debugParam.debugOutputPath + "/Image_" + std::to_string(cameraIndex) + "_" + timeStamp + ".png"; LOG_INFO("[Algo Thread] Debug image saved image : %s\n", fileName.c_str()); // 保存检测结果图片 if (!detectionResult.image.isNull()) { QString qFileName = QString::fromStdString(fileName); detectionResult.image.save(qFileName); } else { LOG_WARNING("[Algo Thread] No valid image to save for debug\n"); } } return nRet; }