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