#include "DetectPresenter.h" #include "bagThreadPositioning_Export.h" #include #include #include #include DetectPresenter::DetectPresenter(/* args */) { LOG_DEBUG("DetectPresenter Init algo ver: %s\n", wd_bagThreadPositioningVersion()); } DetectPresenter::~DetectPresenter() { } int DetectPresenter::DetectScrew( int cameraIndex, std::vector>& laserLines, const VrAlgorithmParams& algorithmParams, const VrDebugParam& debugParam, LaserDataLoader& dataLoader, const double clibMatrix[16], 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); } // 拆线定位算法参数 double rodDiameter = algorithmParams.threadParam.rodDiameter; bool isHorizonScan = algorithmParams.threadParam.isHorizonScan; SSG_cornerParam cornerParam; cornerParam.minEndingGap = algorithmParams.cornerParam.minEndingGap; cornerParam.minEndingGap_z = algorithmParams.cornerParam.minEndingGap_z; cornerParam.scale = rodDiameter / 4; // 参考测试文件 cornerParam.cornerTh = algorithmParams.cornerParam.cornerTh; cornerParam.jumpCornerTh_1 = algorithmParams.cornerParam.jumpCornerTh_1; cornerParam.jumpCornerTh_2 = algorithmParams.cornerParam.jumpCornerTh_2; SSG_treeGrowParam growParam; growParam.yDeviation_max = algorithmParams.growParam.yDeviation_max; growParam.zDeviation_max = algorithmParams.growParam.zDeviation_max; growParam.maxLineSkipNum = algorithmParams.growParam.maxLineSkipNum; growParam.maxSkipDistance = algorithmParams.growParam.maxSkipDistance; growParam.minLTypeTreeLen = algorithmParams.growParam.minLTypeTreeLen; growParam.minVTypeTreeLen = algorithmParams.growParam.minVTypeTreeLen; SSG_outlierFilterParam filterParam; filterParam.continuityTh = algorithmParams.filterParam.continuityTh; filterParam.outlierTh = algorithmParams.filterParam.outlierTh; if(debugParam.enableDebug && debugParam.printDetailLog) { LOG_INFO("[Algo Thread] clibMatrix: \n\t[%.3f, %.3f, %.3f, %.3f] \n\t[ %.3f, %.3f, %.3f, %.3f] \n\t[ %.3f, %.3f, %.3f, %.3f] \n\t[ %.3f, %.3f, %.3f, %.3f]\n", clibMatrix[0], clibMatrix[1], clibMatrix[2], clibMatrix[3], clibMatrix[4], clibMatrix[5], clibMatrix[6], clibMatrix[7], clibMatrix[8], clibMatrix[9], clibMatrix[10], clibMatrix[11], clibMatrix[12], clibMatrix[13], clibMatrix[14], clibMatrix[15]); // 打印拆线参数 LOG_INFO("[Algo Thread] Thread: rodDiameter=%.1f, isHorizonScan=%s\n", rodDiameter, isHorizonScan ? "true" : "false"); // 打印拐角参数 LOG_INFO("[Algo Thread] Corner: cornerTh=%.1f, scale=%.1f, minEndingGap=%.1f, minEndingGap_z=%.1f, jumpCornerTh_1=%.1f, jumpCornerTh_2=%.1f\n", cornerParam.cornerTh, cornerParam.scale, cornerParam.minEndingGap, cornerParam.minEndingGap_z, cornerParam.jumpCornerTh_1, cornerParam.jumpCornerTh_2); // 打印树生长参数 LOG_INFO("[Algo Thread] Tree Grow: yDeviation_max=%.1f, zDeviation_max=%.1f, maxLineSkipNum=%d, maxSkipDistance=%.1f, minLTypeTreeLen=%.1f, minVTypeTreeLen=%.1f\n", growParam.yDeviation_max, growParam.zDeviation_max, growParam.maxLineSkipNum, growParam.maxSkipDistance, growParam.minLTypeTreeLen, growParam.minVTypeTreeLen); // 打印滤波参数 LOG_INFO("[Algo Thread] Filter: continuityTh=%.1f, outlierTh=%.1f\n", filterParam.continuityTh, filterParam.outlierTh); } int errCode = 0; CVrTimeUtils oTimeUtils; LOG_DEBUG("before wd_bagThreadPositioning \n"); // 调用拆线定位算法 std::vector threadInfo; // 凸起特征参数(使用默认值) SSG_raisedFeatureParam raisedFeaturePara; wd_bagThreadPositioning( xyzData, isHorizonScan, filterParam, cornerParam, raisedFeaturePara, growParam, threadInfo, &errCode); LOG_DEBUG("after wd_bagThreadPositioning \n"); LOG_INFO("wd_bagThreadPositioning: detected %zu threads, err=%d runtime=%.3fms\n", threadInfo.size(), errCode, oTimeUtils.GetElapsedTimeInMilliSec()); ERR_CODE_RETURN(errCode); // 构建检测结果:生成点云图像 // 1. 获取所有拆线的线头位置用于可视化 std::vector> objOps; std::vector threadPositions; for (const auto& thread : threadInfo) { threadPositions.push_back(thread.threadPos); } if (!threadPositions.empty()) { objOps.push_back(threadPositions); } // 从点云数据生成投影图像(10cm边界) detectionResult.image = PointCloudImageUtils::GeneratePointCloudRetPointImage(xyzData, objOps, 100.0); // 在图像上绘制拆线位置点 if (!detectionResult.image.isNull() && !threadInfo.empty()) { QPainter painter(&detectionResult.image); painter.setRenderHint(QPainter::Antialiasing); // 计算点云范围(与PointCloudImageUtils相同的方式) double xMin = 1e10, xMax = -1e10, yMin = 1e10, yMax = -1e10; for (const auto& line : xyzData) { for (const auto& pt : line) { if (pt.pt3D.z < 1e-4) continue; xMin = std::min(xMin, (double)pt.pt3D.x); xMax = std::max(xMax, (double)pt.pt3D.x); yMin = std::min(yMin, (double)pt.pt3D.y); yMax = std::max(yMax, (double)pt.pt3D.y); } } // 扩展边界(与GeneratePointCloudRetPointImage相同) double margin = 100.0; // 10cm = 100mm 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 if (x_scale < y_scale) x_scale = y_scale; else y_scale = x_scale; // 转换3D坐标到图像坐标的lambda函数 auto toImageCoord = [&](const SVzNL3DPoint& pt) -> QPointF { int px = (int)((pt.x - xMin) / x_scale + x_skip); int py = (int)((pt.y - yMin) / y_scale + y_skip); return QPointF(px, py); }; // 绘制线头位置和拆点位置 QPen threadPen(QColor(255, 0, 0), 3); QPen operatePen(QColor(0, 255, 0), 3); for (const auto& thread : threadInfo) { // 绘制线头位置(红色) painter.setPen(threadPen); QPointF threadPt = toImageCoord(thread.threadPos); painter.drawEllipse(threadPt, 5, 5); // 绘制拆点位置(绿色) painter.setPen(operatePen); QPointF operatePt = toImageCoord(thread.operatePos); painter.drawEllipse(operatePt, 5, 5); // 绘制连线 QPen linePen(QColor(255, 255, 0), 2); painter.setPen(linePen); painter.drawLine(threadPt, operatePt); } } // 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 < threadInfo.size(); i++) { const auto& thread = threadInfo[i]; // 进行坐标转换:从算法坐标系转换到机械臂坐标系(使用拆点位置) SVzNL3DPoint robotObj; CVrConvert::EyeToRobot(thread.operatePos, robotObj, clibMatrix); // 创建位置数据(使用转换后的机械臂坐标) ThreadPosition pos; pos.x = robotObj.x; pos.y = robotObj.y; pos.z = robotObj.z; pos.roll = thread.rotateAngle; pos.pitch = 0.0; pos.yaw = 0.0; detectionResult.positions.push_back(pos); // 保存拆线信息 ThreadInfo info; info.centerX = robotObj.x; info.centerY = robotObj.y; info.centerZ = robotObj.z; info.axialDirX = 0.0; info.axialDirY = 0.0; info.axialDirZ = 0.0; info.rotateAngle = thread.rotateAngle; detectionResult.threadInfoList.push_back(info); if(debugParam.enableDebug && debugParam.printDetailLog){ LOG_INFO("[Algo Thread] Thread %zu ThreadPos: X=%.2f, Y=%.2f, Z=%.2f\n", i, thread.threadPos.x, thread.threadPos.y, thread.threadPos.z); LOG_INFO("[Algo Thread] Thread %zu OperatePos: X=%.2f, Y=%.2f, Z=%.2f\n", i, thread.operatePos.x, thread.operatePos.y, thread.operatePos.z); LOG_INFO("[Algo Thread] Thread %zu Robot Coords: X=%.2f, Y=%.2f, Z=%.2f, Angle=%.2f\n", i, pos.x, pos.y, pos.z, pos.roll); } } 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; }