#include "DetectPresenter.h" #include "workpieceHolePositioning_Export.h" #include "SG_baseAlgo_Export.h" #include #include #include #include #include #include "CoordinateTransform.h" #include "VrConvert.h" DetectPresenter::DetectPresenter(/* args */) { LOG_DEBUG("DetectPresenter Init algo ver: %s\n", wd_workpieceHolePositioningVersion()); } DetectPresenter::~DetectPresenter() { } int DetectPresenter::DetectWorkpieceHole( int cameraIndex, std::vector>& laserLines, const VrAlgorithmParams& algorithmParams, const VrDebugParam& debugParam, LaserDataLoader& dataLoader, const double clibMatrix[16], int eulerOrder, int dirVectorInvert, WorkpieceHoleDetectionResult& 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); } // 工件孔参数 WD_workpieceHoleParam workpiecePara; workpiecePara.workpieceType = algorithmParams.workpieceHoleParam.workpieceType; workpiecePara.holeDiameter = algorithmParams.workpieceHoleParam.holeDiameter; workpiecePara.holeDist_L = algorithmParams.workpieceHoleParam.holeDist_L; workpiecePara.holeDist_W = algorithmParams.workpieceHoleParam.holeDist_W; // 线段分割参数 SSG_lineSegParam lineSegPara; lineSegPara.distScale = algorithmParams.lineSegParam.distScale; lineSegPara.segGapTh_y = algorithmParams.lineSegParam.segGapTh_y; lineSegPara.segGapTh_z = algorithmParams.lineSegParam.segGapTh_z; // 滤波参数 SSG_outlierFilterParam filterParam; filterParam.continuityTh = algorithmParams.filterParam.continuityTh; filterParam.outlierTh = algorithmParams.filterParam.outlierTh; // 树生长参数 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; 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]); // 打印工件孔参数 LOG_INFO("[Algo Thread] WorkpieceHole: type=%d, holeDiameter=%.1f, holeDist_L=%.1f, holeDist_W=%.1f\n", workpiecePara.workpieceType, workpiecePara.holeDiameter, workpiecePara.holeDist_L, workpiecePara.holeDist_W); // 打印线段分割参数 LOG_INFO("[Algo Thread] LineSeg: distScale=%.1f, segGapTh_y=%.1f, segGapTh_z=%.1f\n", lineSegPara.distScale, lineSegPara.segGapTh_y, lineSegPara.segGapTh_z); // 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); } // 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_workpieceHolePositioning \n"); // 调用工件孔定位算法 std::vector workpiecePositioning; wd_workpieceHolePositioning( xyzData, workpiecePara, lineSegPara, filterParam, growParam, groundCalibPara, workpiecePositioning, &errCode ); LOG_DEBUG("after wd_workpieceHolePositioning \n"); LOG_INFO("wd_workpieceHolePositioning: found %zu workpieces, err=%d runtime=%.3fms\n", workpiecePositioning.size(), errCode, oTimeUtils.GetElapsedTimeInMilliSec()); ERR_CODE_RETURN(errCode); // 从4x4齐次变换矩阵中提取旋转矩阵R(3x3)和平移向量T(3x1) // clibMatrix 是行优先存储的4x4矩阵 cv::Mat R = cv::Mat::zeros(3, 3, CV_64F); cv::Mat T = cv::Mat::zeros(3, 1, CV_64F); for (int i = 0; i < 3; i++) { for (int j = 0; j < 3; j++) { R.at(i, j) = clibMatrix[i * 4 + j]; } T.at(i, 0) = clibMatrix[i * 4 + 3]; } // 构建用于可视化的点数组 std::vector> objOps; // 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) SVzNL3DPoint centerEye = workpiece.center; // 1. 位置转换:使用 pointRT_2 进行坐标变换 cv::Point3d ptEye(centerEye.x, centerEye.y, centerEye.z); cv::Point3d ptRobot; pointRT_2(R, T, ptEye, ptRobot); // 2. 姿态转换:按照测试代码的方式处理方向向量 // 从算法输出获取方向向量 std::vector dirVectors_eye(3); dirVectors_eye[0] = cv::Point3d(workpiece.x_dir.x, workpiece.x_dir.y, workpiece.x_dir.z); dirVectors_eye[1] = cv::Point3d(workpiece.y_dir.x, workpiece.y_dir.y, workpiece.y_dir.z); dirVectors_eye[2] = cv::Point3d(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: // 不反向 break; case DIR_INVERT_XY: // X和Y方向反向 dirVectors_eye[0] = cv::Point3d(-dirVectors_eye[0].x, -dirVectors_eye[0].y, -dirVectors_eye[0].z); dirVectors_eye[1] = cv::Point3d(-dirVectors_eye[1].x, -dirVectors_eye[1].y, -dirVectors_eye[1].z); break; case DIR_INVERT_XZ: // X和Z方向反向 dirVectors_eye[0] = cv::Point3d(-dirVectors_eye[0].x, -dirVectors_eye[0].y, -dirVectors_eye[0].z); dirVectors_eye[2] = cv::Point3d(-dirVectors_eye[2].x, -dirVectors_eye[2].y, -dirVectors_eye[2].z); break; case DIR_INVERT_YZ: default: // Y和Z方向反向(默认,兼容原有行为) dirVectors_eye[1] = cv::Point3d(-dirVectors_eye[1].x, -dirVectors_eye[1].y, -dirVectors_eye[1].z); dirVectors_eye[2] = cv::Point3d(-dirVectors_eye[2].x, -dirVectors_eye[2].y, -dirVectors_eye[2].z); break; } // 使用 pointRotate 对方向向量进行旋转变换 std::vector dirVectors_robot; for (int j = 0; j < 3; j++) { cv::Point3d rt_pt; pointRotate(R, dirVectors_eye[j], rt_pt); dirVectors_robot.push_back(rt_pt); } // 3. 构建旋转矩阵(按照测试代码的方式) 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 rotationMatrixToEulerZYX 转换为欧拉角(外旋ZYX,即RZ-RY-RX) SSG_EulerAngles robotRpy = rotationMatrixToEulerZYX(R_pose); // 将机器人坐标系下的位姿添加到positions列表 HolePosition centerRobotPos; centerRobotPos.x = ptRobot.x; centerRobotPos.y = ptRobot.y; centerRobotPos.z = ptRobot.z; centerRobotPos.roll = robotRpy.roll; // 已经是角度 centerRobotPos.pitch = robotRpy.pitch; // 已经是角度 centerRobotPos.yaw = robotRpy.yaw; // 已经是角度 detectionResult.positions.push_back(centerRobotPos); // 添加中心点到可视化列表 std::vector holePoints; for(size_t j = 0; j < workpiece.holes.size(); j++){ SVzNL3DPoint holeEye = workpiece.holes[j]; holePoints.push_back(holeEye); } holePoints.push_back(centerEye); objOps.push_back(holePoints); 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=%.2f, Y=%.2f, Z=%.2f\n", centerEye.x, centerEye.y, centerEye.z); LOG_INFO("[Algo Thread] Center Robot Coords: X=%.2f, Y=%.2f, Z=%.2f, R=%.4f, P=%.4f, Y=%.4f\n", ptRobot.x, ptRobot.y, ptRobot.z, centerRobotPos.roll, centerRobotPos.pitch, centerRobotPos.yaw); } } // 从点云数据生成投影图像(单色灰色点云 + 红色孔位标记) { // 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); } } // 不扩展边界,直接使用点云范围 // 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); } } } // 绘制孔位标记 - 使用红色 if (!objOps.empty()) { QColor holeColor(255, 0, 0); // 红色 painter.setPen(QPen(holeColor, 1)); painter.setBrush(QBrush(holeColor)); for (size_t i = 0; i < objOps.size(); i++) { const auto& holeGroup = objOps[i]; size_t groupSize = holeGroup.size(); for (size_t j = 0; j < groupSize; j++) { const SVzNL3DPoint& hole = holeGroup[j]; // 跳过全0的点 if (fabs(hole.x) < 0.0001 && fabs(hole.y) < 0.0001 && fabs(hole.z) < 0.0001) { continue; } int px = (int)((hole.x - xMin) / x_scale + x_skip); int py = (int)((hole.y - yMin) / y_scale + y_skip); if (px >= 0 && px < imgCols && py >= 0 && py < imgRows) { // 绘制圆点标记 int circleSize = 2; painter.drawEllipse(px - circleSize/2, py - circleSize/2, circleSize, circleSize); // 只有中心点(最后一个点)才绘制编号 if (j == groupSize - 1) { 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(holeColor, 1)); painter.setBrush(QBrush(holeColor)); } } } } } 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; }