#include "DetectPresenter.h" #include "motorStatorPosition_Export.h" #include "SG_baseAlgo_Export.h" #include #include #include #include #include "CoordinateTransform.h" DetectPresenter::DetectPresenter(/* args */) { LOG_DEBUG("DetectPresenter Init algo ver: %s\n", wd_particleSegVersion()); } DetectPresenter::~DetectPresenter() { } int DetectPresenter::DetectStatorPosition( int cameraIndex, std::vector>& laserLines, const VrAlgorithmParams& algorithmParams, const VrDebugParam& debugParam, LaserDataLoader& dataLoader, const double clibMatrix[16], int eulerOrder, int dirVectorInvert, StatorPositionDetectionResult& 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); } // 定子物理参数 SWD_statorParam statorParam; statorParam.statorOuterD = algorithmParams.statorParam.statorOuterD; statorParam.statorInnerD = algorithmParams.statorParam.statorInnerD; statorParam.statorHeight = algorithmParams.statorParam.statorHeight; statorParam.plateThickness = algorithmParams.statorParam.plateThickness; statorParam.plateW = algorithmParams.statorParam.plateW; statorParam.plateH = algorithmParams.statorParam.plateH; // 构造算法参数(使用 cornerParam 而非 lineSegParam) SWD_statorPositonParam algoParam; // 滤波参数 algoParam.filterParam.continuityTh = algorithmParams.filterParam.continuityTh; algoParam.filterParam.outlierTh = algorithmParams.filterParam.outlierTh; // 角点检测参数 algoParam.cornerParam.minEndingGap = algorithmParams.cornerParam.minEndingGap; algoParam.cornerParam.minEndingGap_z = algorithmParams.cornerParam.minEndingGap_z; algoParam.cornerParam.scale = algorithmParams.cornerParam.scale; algoParam.cornerParam.cornerTh = algorithmParams.cornerParam.cornerTh; algoParam.cornerParam.jumpCornerTh_1 = algorithmParams.cornerParam.jumpCornerTh_1; algoParam.cornerParam.jumpCornerTh_2 = algorithmParams.cornerParam.jumpCornerTh_2; // 树生长参数 algoParam.growParam.yDeviation_max = algorithmParams.growParam.yDeviation_max; algoParam.growParam.zDeviation_max = algorithmParams.growParam.zDeviation_max; algoParam.growParam.maxLineSkipNum = algorithmParams.growParam.maxLineSkipNum; algoParam.growParam.maxSkipDistance = algorithmParams.growParam.maxSkipDistance; algoParam.growParam.minLTypeTreeLen = algorithmParams.growParam.minLTypeTreeLen; algoParam.growParam.minVTypeTreeLen = algorithmParams.growParam.minVTypeTreeLen; 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]); // 打印定子参数 LOG_INFO("[Algo Thread] StatorParam: outerD=%.1f, innerD=%.1f, height=%.1f, plateThickness=%.1f, plateW=%.1f, plateH=%.1f\n", statorParam.statorOuterD, statorParam.statorInnerD, statorParam.statorHeight, statorParam.plateThickness, statorParam.plateW, statorParam.plateH); // 打印角点检测参数 LOG_INFO("[Algo Thread] CornerParam: minEndingGap=%.1f, minEndingGap_z=%.1f, scale=%.1f, cornerTh=%.1f, jumpCornerTh_1=%.1f, jumpCornerTh_2=%.1f\n", algoParam.cornerParam.minEndingGap, algoParam.cornerParam.minEndingGap_z, algoParam.cornerParam.scale, algoParam.cornerParam.cornerTh, algoParam.cornerParam.jumpCornerTh_1, algoParam.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", algoParam.growParam.yDeviation_max, algoParam.growParam.zDeviation_max, algoParam.growParam.maxLineSkipNum, algoParam.growParam.maxSkipDistance, algoParam.growParam.minLTypeTreeLen, algoParam.growParam.minVTypeTreeLen); // 打印滤波参数 LOG_INFO("[Algo Thread] Filter: continuityTh=%.1f, outlierTh=%.1f\n", algoParam.filterParam.continuityTh, algoParam.filterParam.outlierTh); } // 准备平面校准参数 SSG_planeCalibPara groundCalibPara; if(cameraCalibParam){ memcpy(groundCalibPara.planeCalib, cameraCalibParam->planeCalib, sizeof(double) * 9); memcpy(groundCalibPara.invRMatrix, cameraCalibParam->invRMatrix, sizeof(double) * 9); groundCalibPara.planeHeight = cameraCalibParam->planeHeight; } else { // 使用默认单位矩阵 double identity[9] = {1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0}; memcpy(groundCalibPara.planeCalib, identity, sizeof(double) * 9); memcpy(groundCalibPara.invRMatrix, identity, sizeof(double) * 9); groundCalibPara.planeHeight = -1.0; } if(debugParam.enableDebug && debugParam.printDetailLog) { LOG_INFO("Plane height: %.3f\n", groundCalibPara.planeHeight); LOG_INFO(" Plane calibration matrix: [%f, %f, %f; %f, %f, %f; %f, %f, %f]\n", groundCalibPara.planeCalib[0], groundCalibPara.planeCalib[1], groundCalibPara.planeCalib[2], groundCalibPara.planeCalib[3], groundCalibPara.planeCalib[4], groundCalibPara.planeCalib[5], groundCalibPara.planeCalib[6], groundCalibPara.planeCalib[7], groundCalibPara.planeCalib[8]); LOG_INFO(" Plane invRMatrix matrix: [%f, %f, %f; %f, %f, %f; %f, %f, %f]\n", groundCalibPara.invRMatrix[0], groundCalibPara.invRMatrix[1], groundCalibPara.invRMatrix[2], groundCalibPara.invRMatrix[3], groundCalibPara.invRMatrix[4], groundCalibPara.invRMatrix[5], groundCalibPara.invRMatrix[6], groundCalibPara.invRMatrix[7], groundCalibPara.invRMatrix[8]); } // 数据预处理:调平和去除地面(使用当前相机的调平参数) if(cameraCalibParam){ LOG_DEBUG("Processing data with plane calibration\n"); double groundH = -1; for(size_t i = 0; i < xyzData.size(); i++){ wd_lineDataR(xyzData[i], cameraCalibParam->planeCalib, groundH); } } int errCode = 0; CVrTimeUtils oTimeUtils; LOG_DEBUG("before wd_motorStatorPosition \n"); // 状态机(每次检测新建) SWD_statorGriperState stateMachine; memset(&stateMachine, 0, sizeof(SWD_statorGriperState)); // 调用电机定子定位算法 std::vector resultObjPositions; wd_motorStatorPosition( xyzData, statorParam, groundCalibPara, algoParam, &stateMachine, &errCode, resultObjPositions ); LOG_DEBUG("after wd_motorStatorPosition \n"); LOG_INFO("wd_motorStatorPosition: found %zu stators, err=%d runtime=%.3fms\n", resultObjPositions.size(), errCode, oTimeUtils.GetElapsedTimeInMilliSec()); ERR_CODE_RETURN(errCode); // 构建手眼标定的齐次变换矩阵(使用 Eigen-based CoordinateTransform) CTHomogeneousMatrix calibMatrix; for (int i = 0; i < 4; ++i) { for (int j = 0; j < 4; ++j) { calibMatrix.at(i, j) = clibMatrix[i * 4 + j]; } } // 确定欧拉角顺序(eulerOrder 直接映射到 CTEulerOrder 枚举值) CTEulerOrder ctEulerOrder = static_cast(eulerOrder); // 构建用于可视化的点数组 std::vector objCenterPoints; // 处理每个定子的检测结果 for (size_t i = 0; i < resultObjPositions.size(); i++) { const SWD_statorInnerGrasper& obj = resultObjPositions[i]; // 算法输出的位姿(角度为度),转换为弧度构建相机坐标系下的位姿 CTCameraPose cameraPose( obj.opCenter.x, obj.opCenter.y, obj.opCenter.z, CCoordinateTransform::degToRad(obj.opCenter.x_roll), CCoordinateTransform::degToRad(obj.opCenter.y_pitch), CCoordinateTransform::degToRad(obj.opCenter.z_yaw)); // 使用 Eigen-based CoordinateTransform 进行 Eye-to-Hand 坐标变换 CTRobotPose targetPose; CCoordinateTransform::sixAxisEyeToHandCalcGraspPose(cameraPose, calibMatrix, ctEulerOrder, targetPose); // 将机器人坐标系下的位姿添加到positions列表(弧度转为度) StatorGraspPosition pos; pos.objID = obj.objID; pos.x = targetPose.x; pos.y = targetPose.y; pos.z = targetPose.z; pos.roll = CCoordinateTransform::radToDeg(targetPose.rx); pos.pitch = CCoordinateTransform::radToDeg(targetPose.ry); pos.yaw = CCoordinateTransform::radToDeg(targetPose.rz); // 应用方向向量反向配置 switch (dirVectorInvert) { case DIR_INVERT_XY: pos.roll = -pos.roll; pos.pitch = -pos.pitch; break; case DIR_INVERT_XZ: pos.roll = -pos.roll; pos.yaw = -pos.yaw; break; case DIR_INVERT_YZ: pos.pitch = -pos.pitch; pos.yaw = -pos.yaw; break; case DIR_INVERT_NONE: default: break; } detectionResult.positions.push_back(pos); // 添加中心点到可视化列表 SVzNL3DPoint centerPt; centerPt.x = obj.opCenter.x; centerPt.y = obj.opCenter.y; centerPt.z = obj.opCenter.z; objCenterPoints.push_back(centerPt); if(debugParam.enableDebug && debugParam.printDetailLog){ LOG_INFO("[Algo Thread] Stator[%zu] objID=%d Eye Coords: X=%.2f, Y=%.2f, Z=%.2f, Roll=%.2f, Pitch=%.2f, Yaw=%.2f\n", i, obj.objID, obj.opCenter.x, obj.opCenter.y, obj.opCenter.z, obj.opCenter.x_roll, obj.opCenter.y_pitch, obj.opCenter.z_yaw); LOG_INFO("[Algo Thread] Stator[%zu] Robot Coords: X=%.2f, Y=%.2f, Z=%.2f, R=%.4f, P=%.4f, Y=%.4f\n", i, pos.x, pos.y, pos.z, pos.roll, pos.pitch, pos.yaw); } } // 从点云数据生成投影图像(单色灰色点云 + 红色抓取点标记) { // 固定图像尺寸 int imgRows = 992; int imgCols = 1056; int x_skip = 50; int y_skip = 50; // 计算点云范围 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); } } // 计算投影比例 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; if (x_scale < y_scale) x_scale = y_scale; else y_scale = x_scale; // 创建图像 QImage image(imgCols, imgRows, QImage::Format_RGB888); image.fill(Qt::black); QPainter painter(&image); painter.setRenderHint(QPainter::Antialiasing); // 绘制点云数据 - 使用单色灰色 QColor grayColor(150, 150, 150); for (const auto& scanLine : xyzData) { for (const auto& point : scanLine) { if (point.pt3D.z < 1e-4) continue; int px = (int)((point.pt3D.x - xMin) / x_scale + x_skip); int py = (int)((point.pt3D.y - yMin) / y_scale + y_skip); if (px >= 0 && px < imgCols && py >= 0 && py < imgRows) { painter.setPen(QPen(grayColor, 1)); painter.drawPoint(px, py); } } } // 绘制抓取点标记 - 使用红色 if (!objCenterPoints.empty()) { QColor markerColor(255, 0, 0); // 红色 painter.setPen(QPen(markerColor, 1)); painter.setBrush(QBrush(markerColor)); for (size_t i = 0; i < objCenterPoints.size(); i++) { const SVzNL3DPoint& pt = objCenterPoints[i]; // 跳过全0的点 if (fabs(pt.x) < 0.0001 && fabs(pt.y) < 0.0001 && fabs(pt.z) < 0.0001) { continue; } int px = (int)((pt.x - xMin) / x_scale + x_skip); int py = (int)((pt.y - yMin) / y_scale + y_skip); if (px >= 0 && px < imgCols && py >= 0 && py < imgRows) { // 绘制圆点标记 int circleSize = 6; painter.drawEllipse(px - circleSize/2, py - circleSize/2, circleSize, circleSize); // 绘制编号 painter.setPen(QPen(Qt::white, 1)); QFont font("Arial", 14, QFont::Bold); painter.setFont(font); painter.drawText(px + 8, py + 6, QString("%1").arg(i + 1)); // 恢复画笔 painter.setPen(QPen(markerColor, 1)); painter.setBrush(QBrush(markerColor)); } } } detectionResult.image = image; } 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; }