#include "DetectPresenter.h" #include "workpieceHolePositioning_Export.h" #include "SG_baseAlgo_Export.h" #include "AlgoParamConverter.h" #include "IHandEyeCalib.h" #include #include namespace { bool HasValidZPoint(const std::vector& line) { for (const SVzNL3DPosition& point : line) { if (point.pt3D.z > 1e-4) { return true; } } return false; } void TrimZeroBoundaryLines(std::vector>& scanLines) { size_t firstValidLine = 0; while (firstValidLine < scanLines.size() && !HasValidZPoint(scanLines[firstValidLine])) { ++firstValidLine; } if (firstValidLine == scanLines.size()) { scanLines.clear(); return; } size_t lastValidLine = scanLines.size(); while (lastValidLine > firstValidLine && !HasValidZPoint(scanLines[lastValidLine - 1])) { --lastValidLine; } scanLines.erase(scanLines.begin() + lastValidLine, scanLines.end()); scanLines.erase(scanLines.begin(), scanLines.begin() + firstValidLine); } } // namespace DetectPresenter::DetectPresenter(/* args */) { LOG_DEBUG("DetectPresenter Init algo ver: %s\n", wd_workpieceHolePositioningVersion()); } DetectPresenter::~DetectPresenter() { } QString DetectPresenter::GetAlgoVersion() { const char* ver = wd_workpieceHolePositioningVersion(); return ver ? QString::fromUtf8(ver) : QString(); } int DetectPresenter::DetectWorkpieceHole( int workpieceNumber, int cameraIndex, std::vector>& laserLines, const VrAlgorithmParams& algorithmParams, const VrDebugParam& debugParam, LaserDataLoader& dataLoader, const double clibMatrix[16], int eulerOrder, int dirVectorInvert, int poseOutputOrder, WorkpieceHoleDetectionResult& detectionResult) { if (laserLines.empty()) { LOG_WARNING("No laser lines data available\n"); return ERR_CODE(DEV_DATA_INVALID); } const VrWorkpieceAlgorithmProfile* profile = algorithmParams.FindWorkpieceProfile(workpieceNumber); if (!profile) { LOG_ERROR("Algorithm profile is missing for workpiece %d\n", workpieceNumber); return ERR_CODE(DEV_CONFIG_ERR); } // 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; } // debug保存点云已由 BasePresenter::DetectTask() 统一处理,此处不再重复保存 std::string timeStamp = CVrDateUtils::GetNowTime(); 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); } const size_t originalLineCount = xyzData.size(); TrimZeroBoundaryLines(xyzData); if (xyzData.empty()) { LOG_WARNING("No valid scan lines after trimming zero boundary lines\n"); return ERR_CODE(DEV_DATA_INVALID); } LOG_INFO("Trimmed zero boundary lines: %zu -> %zu\n", originalLineCount, xyzData.size()); // 算法接口使用非 const 引用,因此单独准备算法工作数据。 // xyzData 始终保留原始点云用于绘图,所有算法结果保持原样进入公共处理流程。 std::vector> algorithmData = xyzData; // 工件孔参数 const VrWorkpieceHoleParam& workpieceParam = profile->workpieceHoleParam; WD_workpieceHoleParam workpiecePara = AlgoParamConverter::ToAlgoParam(workpieceParam); // 线段分割参数 SSG_lineSegParam lineSegPara = AlgoParamConverter::ToAlgoParam(profile->lineSegParam); // 滤波参数 SSG_outlierFilterParam filterParam = AlgoParamConverter::ToAlgoParam(profile->filterParam); // 树生长参数 SSG_treeGrowParam growParam = AlgoParamConverter::ToAlgoParam(profile->growParam); LOG_INFO("Workpiece %d profile: hole=%.1f, H=%.1f, bigHole=%.1f, line=(%.1f,%.1f,%.1f), " "filter=(%.1f,%.1f), grow=(%d,%.1f,%.1f,%.1f,%.1f,%.1f)\n", workpieceNumber, workpieceParam.holeDiameter, workpieceParam.H, workpieceParam.bigHoleDiameter, lineSegPara.distScale, lineSegPara.segGapTh_y, lineSegPara.segGapTh_z, filterParam.continuityTh, filterParam.outlierTh, growParam.maxLineSkipNum, growParam.yDeviation_max, growParam.maxSkipDistance, growParam.zDeviation_max, growParam.minLTypeTreeLen, growParam.minVTypeTreeLen); // 准备平面校准参数 SSG_planeCalibPara groundCalibPara = AlgoParamConverter::ToAlgoPlaneCalibParam(cameraCalibParam); if(debugParam.enableDebug && debugParam.printDetailLog) { AlgoParamConverter::LogAlgoParams("[Algo Thread]", workpiecePara, lineSegPara, filterParam, growParam, groundCalibPara, clibMatrix); } #if 0 // 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"); for(size_t i = 0; i < xyzData.size(); i++){ wd_lineDataR(xyzData[i], cameraCalibParam->planeCalib, -1); } } #endif int errCode = 0; CVrTimeUtils oTimeUtils; LOG_DEBUG("Before workpiece positioning algorithm, workpiece=%d\n", workpieceNumber); std::vector workpiecePositioning; const char* algorithmName = nullptr; switch (workpieceNumber) { case 1: algorithmName = "wd_workpieceHolePositioning"; wd_workpieceHolePositioning( algorithmData, workpiecePara, lineSegPara, filterParam, growParam, groundCalibPara, workpiecePositioning, &errCode); break; case 2: case 5: algorithmName = "wd_workpieceHolePositioning_2"; wd_workpieceHolePositioning_2( algorithmData, workpiecePara, lineSegPara, filterParam, growParam, groundCalibPara, workpiecePositioning, &errCode); break; case 3: case 4: algorithmName = "wd_workpieceHolePositioning_3"; wd_workpieceHolePositioning_3( algorithmData, workpiecePara, workpieceParam.bigHoleDiameter, lineSegPara, filterParam, growParam, groundCalibPara, workpiecePositioning, &errCode); break; default: LOG_ERROR("No detection algorithm for workpiece %d\n", workpieceNumber); return ERR_CODE(FUN_UNSUPPORT); } LOG_INFO("%s: found %zu workpieces, err=%d runtime=%.3fms\n", algorithmName, workpiecePositioning.size(), errCode, oTimeUtils.GetElapsedTimeInMilliSec()); ERR_CODE_RETURN(errCode); // 创建手眼标定实例 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); // 处理每个工件的检测结果 for (size_t i = 0; i < workpiecePositioning.size(); i++) { const WD_workpieceInfo& workpiece = workpiecePositioning[i]; // 保存工件类型(仅保存第一个工件的类型) if (i == 0) { detectionResult.workpieceType = workpiece.workpieceType; } // 六轴转换:位置+姿态(转换到机械臂坐标系) HECPoint3D eyeCenter(workpiece.center.x, workpiece.center.y, workpiece.center.z); // 构建方向向量(眼坐标系) std::vector dirVectors_eye(3); dirVectors_eye[0] = HECPoint3D(workpiece.x_dir.x, workpiece.x_dir.y, workpiece.x_dir.z); dirVectors_eye[1] = HECPoint3D(workpiece.y_dir.x, workpiece.y_dir.y, workpiece.y_dir.z); dirVectors_eye[2] = HECPoint3D(workpiece.z_dir.x, workpiece.z_dir.y, workpiece.z_dir.z); // 根据配置决定方向向量反向 switch (dirVectorInvert) { case DIR_INVERT_NONE: break; case DIR_INVERT_XY: dirVectors_eye[0] = dirVectors_eye[0] * (-1.0); dirVectors_eye[1] = dirVectors_eye[1] * (-1.0); break; case DIR_INVERT_XZ: dirVectors_eye[0] = dirVectors_eye[0] * (-1.0); dirVectors_eye[2] = dirVectors_eye[2] * (-1.0); break; case DIR_INVERT_YZ: default: dirVectors_eye[1] = dirVectors_eye[1] * (-1.0); dirVectors_eye[2] = dirVectors_eye[2] * (-1.0); break; } // 1. 位置转换:R * P_eye + T HECPoint3D ptRobot; handEyeCalib->TransformPoint(calibResult.R, calibResult.T, eyeCenter, ptRobot); // 2. 方向向量旋转变换(仅旋转,不平移) std::vector dirVectors_robot(3); for (int j = 0; j < 3; j++) { handEyeCalib->RotatePoint(calibResult.R, dirVectors_eye[j], dirVectors_robot[j]); } // 3. 构建旋转矩阵(列向量形式) double R_pose[3][3]; R_pose[0][0] = dirVectors_robot[0].x; R_pose[0][1] = dirVectors_robot[1].x; R_pose[0][2] = dirVectors_robot[2].x; R_pose[1][0] = dirVectors_robot[0].y; R_pose[1][1] = dirVectors_robot[1].y; R_pose[1][2] = dirVectors_robot[2].y; R_pose[2][0] = dirVectors_robot[0].z; R_pose[2][1] = dirVectors_robot[1].z; R_pose[2][2] = dirVectors_robot[2].z; // 4. 使用算法库的 rotationMatrixToEulerZYX 转换为欧拉角(返回角度) SSG_EulerAngles robotRpy = rotationMatrixToEulerZYX(R_pose); // 将机器人坐标系下的位姿添加到positions列表 // 根据 poseOutputOrder 重映射欧拉角输出顺序 HolePosition centerRobotPos; centerRobotPos.x = ptRobot.x; centerRobotPos.y = ptRobot.y; centerRobotPos.z = ptRobot.z; switch (poseOutputOrder) { case POSE_ORDER_RPY: centerRobotPos.roll = robotRpy.roll; centerRobotPos.pitch = robotRpy.pitch; centerRobotPos.yaw = robotRpy.yaw; break; case POSE_ORDER_RYP: centerRobotPos.roll = robotRpy.roll; centerRobotPos.pitch = robotRpy.yaw; centerRobotPos.yaw = robotRpy.pitch; break; case POSE_ORDER_PRY: centerRobotPos.roll = robotRpy.pitch; centerRobotPos.pitch = robotRpy.roll; centerRobotPos.yaw = robotRpy.yaw; break; case POSE_ORDER_PYR: centerRobotPos.roll = robotRpy.pitch; centerRobotPos.pitch = robotRpy.yaw; centerRobotPos.yaw = robotRpy.roll; break; case POSE_ORDER_YRP: centerRobotPos.roll = robotRpy.yaw; centerRobotPos.pitch = robotRpy.roll; centerRobotPos.yaw = robotRpy.pitch; break; case POSE_ORDER_YPR: centerRobotPos.roll = robotRpy.yaw; centerRobotPos.pitch = robotRpy.pitch; centerRobotPos.yaw = robotRpy.roll; break; default: centerRobotPos.roll = robotRpy.roll; centerRobotPos.pitch = robotRpy.pitch; centerRobotPos.yaw = robotRpy.yaw; break; } detectionResult.positions.push_back(centerRobotPos); if(debugParam.enableDebug && debugParam.printDetailLog){ LOG_INFO("[Algo Thread] Direction vectors (eye): X=(%.3f,%.3f,%.3f), Y=(%.3f,%.3f,%.3f), Z=(%.3f,%.3f,%.3f)\n", workpiece.x_dir.x, workpiece.x_dir.y, workpiece.x_dir.z, workpiece.y_dir.x, workpiece.y_dir.y, workpiece.y_dir.z, workpiece.z_dir.x, workpiece.z_dir.y, workpiece.z_dir.z); LOG_INFO("[Algo Thread] Direction vectors (robot): X=(%.3f,%.3f,%.3f), Y=(%.3f,%.3f,%.3f), Z=(%.3f,%.3f,%.3f)\n", dirVectors_robot[0].x, dirVectors_robot[0].y, dirVectors_robot[0].z, dirVectors_robot[1].x, dirVectors_robot[1].y, dirVectors_robot[1].z, dirVectors_robot[2].x, dirVectors_robot[2].y, dirVectors_robot[2].z); LOG_INFO("[Algo Thread] Center Eye Coords: X=%.3f, Y=%.3f, Z=%.3f\n", workpiece.center.x, workpiece.center.y, workpiece.center.z); LOG_INFO("[Algo Thread] Center Robot Coords: X=%.3f, Y=%.3f, Z=%.3f, R=%.4f, P=%.4f, Y=%.4f\n", ptRobot.x, ptRobot.y, ptRobot.z, centerRobotPos.roll, centerRobotPos.pitch, centerRobotPos.yaw); } } // 使用 PointCloudCanvas 生成点云图像(灰色底图 + 红色孔位标记 + 中心点编号) { PointCloudCanvas canvas = PointCloudCanvas::Create(xyzData); for (size_t i = 0; i < workpiecePositioning.size(); i++) { const WD_workpieceInfo& workpiece = workpiecePositioning[i]; // 红色小圆点标记每个孔 for (size_t j = 0; j < workpiece.holes.size(); j++) { canvas.drawPoint(workpiece.holes[j].x, workpiece.holes[j].y, QColor(255, 0, 0), 4); } // 中心点标记 + 白色编号 canvas.drawPoint(workpiece.center.x, workpiece.center.y, QColor(255, 0, 0), 4); canvas.drawText(workpiece.center.x, workpiece.center.y, QString("%1").arg(i + 1), Qt::white, 14); } detectionResult.image = canvas.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; }