306 lines
12 KiB
C++
306 lines
12 KiB
C++
#include "DetectPresenter.h"
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#include "rodAndBarDetection_Export.h"
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#include "AlgoParamConverter.h"
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#include "IHandEyeCalib.h"
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#include <fstream>
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#define _USE_MATH_DEFINES
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#include <cmath>
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#include <memory>
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#include <QPainter>
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#include <QPen>
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#include <QColor>
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namespace
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{
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HECEulerOrder ToHandEyeEulerOrder(int eulerOrder)
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{
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switch (eulerOrder) {
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case 10: return HECEulerOrder::XYZ;
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case 11: return HECEulerOrder::ZYX;
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case 12: return HECEulerOrder::ZXY;
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case 13: return HECEulerOrder::YXZ;
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case 14: return HECEulerOrder::YZX;
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case 15: return HECEulerOrder::XZY;
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default:
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LOG_WARNING("Unsupported euler order %d, fallback to 11(sZYX)\n", eulerOrder);
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return HECEulerOrder::ZYX;
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}
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}
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} // namespace
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DetectPresenter::DetectPresenter(/* args */)
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{
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LOG_DEBUG("DetectPresenter Init algo ver: %s\n", wd_rodAndBarDetectionVersion());
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}
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DetectPresenter::~DetectPresenter()
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{
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}
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QString DetectPresenter::GetAlgoVersion()
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{
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return QString(wd_rodAndBarDetectionVersion());
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}
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int DetectPresenter::DetectRod(
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int cameraIndex,
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std::vector<std::pair<EVzResultDataType, SVzLaserLineData>>& laserLines,
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const VrAlgorithmParams& algorithmParams,
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const VrDebugParam& debugParam,
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LaserDataLoader& dataLoader,
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const double clibMatrix[16],
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int eulerOrder,
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int dirVectorInvert,
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int longAxisDir,
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DetectionResult& detectionResult)
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{
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if (laserLines.empty()) {
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LOG_WARNING("No laser lines data available\n");
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return ERR_CODE(DEV_DATA_INVALID);
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}
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// 获取当前相机的校准参数
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VrCameraPlaneCalibParam cameraCalibParamValue;
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const VrCameraPlaneCalibParam* cameraCalibParam = nullptr;
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if (algorithmParams.planeCalibParam.GetCameraCalibParam(cameraIndex, cameraCalibParamValue)) {
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cameraCalibParam = &cameraCalibParamValue;
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}
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// 保存debug数据
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std::string timeStamp = CVrDateUtils::GetNowTime();
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if(debugParam.enableDebug && debugParam.savePointCloud){
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LOG_INFO("[Algo Thread] Debug mode is enabled, saving point cloud data\n");
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// 获取当前时间戳，格式为YYYYMMDDHHMMSS
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std::string fileName = debugParam.debugOutputPath + "/Laserline_" + std::to_string(cameraIndex) + "_" + timeStamp + ".txt";
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// 直接使用统一格式保存数据
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dataLoader.SaveLaserScanData(fileName, laserLines, laserLines.size(), 0.0, 0, 0);
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}
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int nRet = SUCCESS;
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// 转换为算法需要的XYZ格式
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std::vector<std::vector<SVzNL3DPosition>> xyzData;
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int convertResult = dataLoader.ConvertToSVzNL3DPosition(laserLines, xyzData);
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if (convertResult != SUCCESS || xyzData.empty()) {
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LOG_WARNING("Failed to convert data to XYZ format or no XYZ data available\n");
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return ERR_CODE(DEV_DATA_INVALID);
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}
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// 使用 AlgoParamConverter 进行参数转换
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SSX_rodParam rodParam = AlgoParamConverter::ToAlgoParam(algorithmParams.rodParam);
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SSG_cornerParam cornerParam = AlgoParamConverter::ToAlgoParam(algorithmParams.cornerParam);
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SSG_treeGrowParam growParam = AlgoParamConverter::ToAlgoParam(algorithmParams.growParam);
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SSG_outlierFilterParam filterParam = AlgoParamConverter::ToAlgoParam(algorithmParams.filterParam);
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// 构建平面标定参数
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SSG_planeCalibPara poseCalibPara = AlgoParamConverter::ToAlgoPlaneCalibParam(cameraCalibParam);
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if(debugParam.enableDebug && debugParam.printDetailLog)
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{
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AlgoParamConverter::LogAlgoParams("[Algo Thread]", rodParam, cornerParam, filterParam, growParam, clibMatrix);
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}
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int errCode = 0;
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CVrTimeUtils oTimeUtils;
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LOG_DEBUG("before sx_rodPositioning \n");
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// 调用棒材定位算法
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std::vector<SSX_rodPositionInfo> rodInfo;
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sx_rodPositioning(
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xyzData,
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poseCalibPara,
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cornerParam,
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filterParam,
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growParam,
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rodParam,
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rodInfo,
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&errCode);
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LOG_DEBUG("after sx_rodPositioning \n");
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LOG_INFO("sx_rodPositioning: detected %zu rods, err=%d runtime=%.3fms\n", rodInfo.size(), errCode, oTimeUtils.GetElapsedTimeInMilliSec());
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ERR_CODE_RETURN(errCode);
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std::unique_ptr<IHandEyeCalib, decltype(&DestroyHandEyeCalibInstance)> handEyeCalib(
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CreateHandEyeCalibInstance(),
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DestroyHandEyeCalibInstance);
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if (!handEyeCalib) {
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LOG_ERROR("Failed to create HandEyeCalib instance\n");
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return ERR_CODE(DEV_NOT_FIND);
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}
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const HECCalibResult calibResult = HECCalibResult::fromHomogeneousArray(clibMatrix);
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const HECEulerOrder hecEulerOrder = ToHandEyeEulerOrder(eulerOrder);
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// 构建检测结果：生成点云图像
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// 1. 获取所有棒材的中心点用于可视化
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std::vector<std::vector<SVzNL3DPoint>> objOps;
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std::vector<SVzNL3DPoint> rodCenters;
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for (const auto& rod : rodInfo) {
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SVzNL3DPoint pt;
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pt.x = rod.center.x;
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pt.y = rod.center.y;
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pt.z = rod.center.z;
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rodCenters.push_back(pt);
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}
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if (!rodCenters.empty()) {
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objOps.push_back(rodCenters);
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}
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// 从点云数据生成投影图像（10cm边界），同时获取点云原始范围
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double margin = 100.0; // 10cm = 100mm
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double xMin, xMax, yMin, yMax;
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detectionResult.image = PointCloudImageUtils::GeneratePointCloudRetPointImage(xyzData, objOps, margin, &xMin, &xMax, &yMin, &yMax);
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// 在图像上绘制棒材的轴向方向线
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if (!detectionResult.image.isNull() && !rodInfo.empty()) {
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QPainter painter(&detectionResult.image);
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painter.setRenderHint(QPainter::Antialiasing);
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// 扩展边界（与GeneratePointCloudRetPointImage相同）
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xMin -= margin;
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xMax += margin;
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yMin -= margin;
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yMax += margin;
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// 使用与GeneratePointCloudRetPointImage相同的参数
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int imgRows = detectionResult.image.height();
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int imgCols = detectionResult.image.width();
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int x_skip = 50;
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int y_skip = 50;
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// 计算投影比例（与PointCloudImageUtils相同的方式）
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double y_rows = (double)(imgRows - y_skip * 2);
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double x_cols = (double)(imgCols - x_skip * 2);
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double x_scale = (xMax - xMin) / x_cols;
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double y_scale = (yMax - yMin) / y_rows;
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// 使用统一的比例尺
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double scale = std::max(x_scale, y_scale);
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x_scale = scale;
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y_scale = scale;
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// 计算点云在图像中居中的偏移量（与PointCloudImageUtils一致）
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double cloudWidth = (xMax - xMin) / scale;
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double cloudHeight = (yMax - yMin) / scale;
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int x_offset = x_skip + (int)((x_cols - cloudWidth) / 2);
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int y_offset = y_skip + (int)((y_rows - cloudHeight) / 2);
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// 转换3D坐标到图像坐标的lambda函数（使用居中偏移）
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auto toImageCoord = [&](const SVzNL3DPoint& pt) -> QPointF {
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int px = (int)((pt.x - xMin) / x_scale + x_offset);
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int py = (int)((pt.y - yMin) / y_scale + y_offset);
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return QPointF(px, py);
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};
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// 绘制棒材的轴向方向线
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for (const auto& rod : rodInfo) {
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// 绘制轴向方向线（红色）
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double len = 60;
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QPen axisPen(QColor(255, 0, 0), 2);
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painter.setPen(axisPen);
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SVzNL3DPoint pt0 = { rod.center.x - len * rod.axialDir.x,
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rod.center.y - len * rod.axialDir.y,
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rod.center.z - len * rod.axialDir.z };
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SVzNL3DPoint pt1 = { rod.center.x + len * rod.axialDir.x,
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rod.center.y + len * rod.axialDir.y,
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rod.center.z + len * rod.axialDir.z };
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QPointF imgPt0 = toImageCoord(pt0);
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QPointF imgPt1 = toImageCoord(pt1);
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painter.drawLine(imgPt0, imgPt1);
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// 绘制起点到终点线段（绿色）
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QPen segPen(QColor(0, 255, 0), 2);
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painter.setPen(segPen);
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SVzNL3DPoint startPt = { rod.startPt.x, rod.startPt.y, rod.startPt.z };
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SVzNL3DPoint endPt = { rod.endPt.x, rod.endPt.y, rod.endPt.z };
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QPointF imgStart = toImageCoord(startPt);
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QPointF imgEnd = toImageCoord(endPt);
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painter.drawLine(imgStart, imgEnd);
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}
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}
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// 转换检测结果为UI显示格式（使用机械臂坐标系数据）
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for (size_t i = 0; i < rodInfo.size(); i++) {
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const auto& rod = rodInfo[i];
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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);
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LOG_INFO("[Algo Thread] Rod %zu Input X seed: [%.6f, %.6f, %.6f]\n", i, rod.axialDir.x, rod.axialDir.y, rod.axialDir.z);
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LOG_INFO("[Algo Thread] Rod %zu Input Z seed: [%.6f, %.6f, %.6f]\n", i, rod.normalDir.x, rod.normalDir.y, rod.normalDir.z);
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HECPoseResult poseResult;
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bool validPose = handEyeCalib->TransformPose(
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calibResult,
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HECPoint3D(rod.center.x, rod.center.y, rod.center.z),
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HECPoint3D(rod.axialDir.x, rod.axialDir.y, rod.axialDir.z),
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HECPoint3D(rod.normalDir.x, rod.normalDir.y, rod.normalDir.z),
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dirVectorInvert,
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hecEulerOrder,
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longAxisDir == 1 ? HECLongAxisDir::AxisY : HECLongAxisDir::AxisX,
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poseResult);
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if (!validPose) {
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LOG_WARNING("[Algo Thread] Rod %zu has invalid axial/normal direction, use zero pose\n", i);
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}
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double rollDeg = 0.0, pitchDeg = 0.0, yawDeg = 0.0;
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poseResult.angles.toDegrees(rollDeg, pitchDeg, yawDeg);
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// 创建位置数据（使用转换后的机械臂坐标）
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RodPosition pos;
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pos.roll = rollDeg;
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pos.pitch = pitchDeg;
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pos.yaw = yawDeg;
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pos.x = poseResult.position.x;
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pos.y = poseResult.position.y;
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pos.z = poseResult.position.z;
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detectionResult.positions.push_back(pos);
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// 保存棒材信息
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RodInfo info;
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info.centerX = poseResult.position.x;
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info.centerY = poseResult.position.y;
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info.centerZ = poseResult.position.z;
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info.axialDirX = rod.axialDir.x;
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info.axialDirY = rod.axialDir.y;
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info.axialDirZ = rod.axialDir.z;
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info.normalDirX = rod.normalDir.x;
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info.normalDirY = rod.normalDir.y;
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info.normalDirZ = rod.normalDir.z;
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info.startPtX = rod.startPt.x;
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info.startPtY = rod.startPt.y;
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info.startPtZ = rod.startPt.z;
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info.endPtX = rod.endPt.x;
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info.endPtY = rod.endPt.y;
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info.endPtZ = rod.endPt.z;
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detectionResult.rodInfoList.push_back(info);
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// Print key values for coordinate transform debugging
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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);
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}
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if(debugParam.enableDebug && debugParam.saveDebugImage){
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// 获取当前时间戳，格式为YYYYMMDDHHMMSS
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std::string fileName = debugParam.debugOutputPath + "/Image_" + std::to_string(cameraIndex) + "_" + timeStamp + ".png";
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LOG_INFO("[Algo Thread] Debug image saved image : %s\n", fileName.c_str());
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// 保存检测结果图片
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if (!detectionResult.image.isNull()) {
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QString qFileName = QString::fromStdString(fileName);
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detectionResult.image.save(qFileName);
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} else {
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LOG_WARNING("[Algo Thread] No valid image to save for debug\n");
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}
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}
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return nRet;
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}
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