2026-01-27 20:43:12 +08:00
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#include "DetectPresenter.h"
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#include "workpieceHolePositioning_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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2026-02-01 14:51:16 +08:00
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#include "CoordinateTransform.h"
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#include "VrConvert.h"
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2026-01-27 20:43:12 +08:00
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DetectPresenter::DetectPresenter(/* args */)
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{
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LOG_DEBUG("DetectPresenter Init algo ver: %s\n", wd_workpieceHolePositioningVersion());
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}
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DetectPresenter::~DetectPresenter()
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{
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}
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int DetectPresenter::DetectWorkpieceHole(
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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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2026-02-01 14:51:16 +08:00
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int eulerOrder,
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2026-01-27 20:43:12 +08:00
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WorkpieceHoleDetectionResult& 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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// 工件孔参数
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WD_workpieceHoleParam workpiecePara;
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workpiecePara.workpieceType = algorithmParams.workpieceHoleParam.workpieceType;
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workpiecePara.holeDiameter = algorithmParams.workpieceHoleParam.holeDiameter;
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workpiecePara.holeDist_L = algorithmParams.workpieceHoleParam.holeDist_L;
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workpiecePara.holeDist_W = algorithmParams.workpieceHoleParam.holeDist_W;
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// 线段分割参数
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SSG_lineSegParam lineSegPara;
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lineSegPara.distScale = algorithmParams.lineSegParam.distScale;
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lineSegPara.segGapTh_y = algorithmParams.lineSegParam.segGapTh_y;
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lineSegPara.segGapTh_z = algorithmParams.lineSegParam.segGapTh_z;
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// 滤波参数
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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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// 树生长参数
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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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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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// 打印工件孔参数
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LOG_INFO("[Algo Thread] WorkpieceHole: type=%d, holeDiameter=%.1f, holeDist_L=%.1f, holeDist_W=%.1f\n",
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workpiecePara.workpieceType, workpiecePara.holeDiameter, workpiecePara.holeDist_L, workpiecePara.holeDist_W);
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// 打印线段分割参数
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LOG_INFO("[Algo Thread] LineSeg: distScale=%.1f, segGapTh_y=%.1f, segGapTh_z=%.1f\n",
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lineSegPara.distScale, lineSegPara.segGapTh_y, lineSegPara.segGapTh_z);
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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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// 准备平面校准参数
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SSG_planeCalibPara groundCalibPara;
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if(cameraCalibParam){
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memcpy(groundCalibPara.planeCalib, cameraCalibParam->planeCalib, sizeof(double) * 9);
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memcpy(groundCalibPara.invRMatrix, cameraCalibParam->invRMatrix, sizeof(double) * 9);
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groundCalibPara.planeHeight = cameraCalibParam->planeHeight;
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} else {
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// 使用默认单位矩阵
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double identity[9] = {1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0};
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memcpy(groundCalibPara.planeCalib, identity, sizeof(double) * 9);
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memcpy(groundCalibPara.invRMatrix, identity, sizeof(double) * 9);
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groundCalibPara.planeHeight = -1.0;
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}
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if(debugParam.enableDebug && debugParam.printDetailLog)
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{
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LOG_INFO("Plane height: %.3f\n", groundCalibPara.planeHeight);
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LOG_INFO(" Plane calibration matrix: [%f, %f, %f; %f, %f, %f; %f, %f, %f]\n",
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groundCalibPara.planeCalib[0], groundCalibPara.planeCalib[1], groundCalibPara.planeCalib[2],
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groundCalibPara.planeCalib[3], groundCalibPara.planeCalib[4], groundCalibPara.planeCalib[5],
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groundCalibPara.planeCalib[6], groundCalibPara.planeCalib[7], groundCalibPara.planeCalib[8]);
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LOG_INFO(" Plane invRMatrix matrix: [%f, %f, %f; %f, %f, %f; %f, %f, %f]\n",
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groundCalibPara.invRMatrix[0], groundCalibPara.invRMatrix[1], groundCalibPara.invRMatrix[2],
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groundCalibPara.invRMatrix[3], groundCalibPara.invRMatrix[4], groundCalibPara.invRMatrix[5],
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groundCalibPara.invRMatrix[6], groundCalibPara.invRMatrix[7], groundCalibPara.invRMatrix[8]);
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}
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// 数据预处理:调平和去除地面(使用当前相机的调平参数)
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if(cameraCalibParam){
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LOG_DEBUG("Processing data with plane calibration\n");
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double groundH = -1;
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for(size_t i = 0; i < xyzData.size(); i++){
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wd_lineDataR(xyzData[i], cameraCalibParam->planeCalib, groundH);
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}
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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_workpieceHolePositioning \n");
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// 调用工件孔定位算法
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std::vector<WD_workpieceInfo> workpiecePositioning;
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wd_workpieceHolePositioning(
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xyzData,
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workpiecePara,
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lineSegPara,
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filterParam,
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growParam,
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groundCalibPara,
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workpiecePositioning,
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&errCode
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);
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LOG_DEBUG("after wd_workpieceHolePositioning \n");
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2026-02-01 14:51:16 +08:00
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LOG_INFO("wd_workpieceHolePositioning: found %zu workpieces, err=%d runtime=%.3fms\n", workpiecePositioning.size(), errCode, oTimeUtils.GetElapsedTimeInMilliSec());
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ERR_CODE_RETURN(errCode);
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2026-02-01 14:51:16 +08:00
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// 直接使用4x4齐次变换矩阵,避免欧拉角转换误差
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CTHomogeneousMatrix calibHMatrix;
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memcpy(calibHMatrix.data, clibMatrix, sizeof(double) * 16);
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2026-01-27 20:43:12 +08:00
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// 构建用于可视化的点数组
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std::vector<std::vector<SVzNL3DPoint>> objOps;
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// 处理每个工件的检测结果
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for (size_t i = 0; i < workpiecePositioning.size(); i++) {
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const WD_workpieceInfo& workpiece = workpiecePositioning[i];
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// 保存工件类型(仅保存第一个工件的类型)
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if (i == 0) {
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detectionResult.workpieceType = workpiece.workpieceType;
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}
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2026-02-01 14:51:16 +08:00
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// 六轴转换:位置+姿态(转换到机械臂坐标系)
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SVzNL3DPoint centerEye = workpiece.center;
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2026-02-01 14:51:16 +08:00
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// 从方向向量构建旋转矩阵
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// 算法输出的 x_dir, y_dir, z_dir 是工件坐标系的三个轴在相机坐标系下的方向
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CTRotationMatrix rotMatrix;
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// 第一列:X轴方向
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rotMatrix.at(0, 0) = workpiece.x_dir.x;
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rotMatrix.at(1, 0) = workpiece.x_dir.y;
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rotMatrix.at(2, 0) = workpiece.x_dir.z;
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// 第二列:Y轴方向
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rotMatrix.at(0, 1) = workpiece.y_dir.x;
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rotMatrix.at(1, 1) = workpiece.y_dir.y;
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rotMatrix.at(2, 1) = workpiece.y_dir.z;
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// 第三列:Z轴方向
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rotMatrix.at(0, 2) = workpiece.z_dir.x;
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rotMatrix.at(1, 2) = workpiece.z_dir.y;
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rotMatrix.at(2, 2) = workpiece.z_dir.z;
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// 将旋转矩阵转换为欧拉角(使用配置的旋转顺序)
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CTEulerAngles eulerAngles = CCoordinateTransform::rotationMatrixToEuler(rotMatrix, static_cast<CTEulerOrder>(eulerOrder));
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// 构建相机坐标系下的完整位姿
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CTCameraPose cameraPose;
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cameraPose.x = centerEye.x;
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cameraPose.y = centerEye.y;
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cameraPose.z = centerEye.z;
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cameraPose.rx = eulerAngles.roll;
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cameraPose.ry = eulerAngles.pitch;
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cameraPose.rz = eulerAngles.yaw;
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// 进行六轴Eye-to-Hand转换(位置+姿态)
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// 使用配置的旋转顺序
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CTRobotPose robotPose;
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CCoordinateTransform::sixAxisEyeToHandCalcGraspPose(cameraPose, calibHMatrix, static_cast<CTEulerOrder>(eulerOrder), robotPose);
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// 将机器人坐标系下的位姿添加到positions列表
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HolePosition centerRobotPos;
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centerRobotPos.x = robotPose.x;
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centerRobotPos.y = robotPose.y;
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centerRobotPos.z = robotPose.z;
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centerRobotPos.roll = CCoordinateTransform::radToDeg(robotPose.rx);
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centerRobotPos.pitch = CCoordinateTransform::radToDeg(robotPose.ry);
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centerRobotPos.yaw = CCoordinateTransform::radToDeg(robotPose.rz);
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detectionResult.positions.push_back(centerRobotPos);
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2026-02-01 14:51:16 +08:00
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// 添加中心点到可视化列表
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2026-01-27 20:43:12 +08:00
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std::vector<SVzNL3DPoint> holePoints;
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2026-02-01 14:51:16 +08:00
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for(size_t j = 0; j < workpiece.holes.size(); j++){
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2026-01-27 20:43:12 +08:00
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SVzNL3DPoint holeEye = workpiece.holes[j];
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holePoints.push_back(holeEye);
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}
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holePoints.push_back(centerEye);
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objOps.push_back(holePoints);
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if(debugParam.enableDebug && debugParam.printDetailLog){
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2026-02-01 14:51:16 +08:00
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LOG_INFO("[Algo Thread] Direction vectors: X=(%.3f,%.3f,%.3f), Y=(%.3f,%.3f,%.3f), Z=(%.3f,%.3f,%.3f)\n",
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workpiece.x_dir.x, workpiece.x_dir.y, workpiece.x_dir.z,
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workpiece.y_dir.x, workpiece.y_dir.y, workpiece.y_dir.z,
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workpiece.z_dir.x, workpiece.z_dir.y, workpiece.z_dir.z);
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LOG_INFO("[Algo Thread] Center Eye Coords: X=%.2f, Y=%.2f, Z=%.2f, R=%.4f, P=%.4f, Y=%.4f\n",
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cameraPose.x, cameraPose.y, cameraPose.z,
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CCoordinateTransform::radToDeg(cameraPose.rx), CCoordinateTransform::radToDeg(cameraPose.ry), CCoordinateTransform::radToDeg(cameraPose.rz));
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LOG_INFO("[Algo Thread] Center Robot Coords: X=%.2f, Y=%.2f, Z=%.2f, R=%.4f, P=%.4f, Y=%.4f\n",
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robotPose.x, robotPose.y, robotPose.z,
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CCoordinateTransform::radToDeg(robotPose.rx), CCoordinateTransform::radToDeg(robotPose.ry), CCoordinateTransform::radToDeg(robotPose.rz));
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2026-01-27 20:43:12 +08:00
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}
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}
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// 从点云数据生成投影图像(单色灰色点云 + 红色孔位标记)
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{
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// 固定图像尺寸
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int imgRows = 992;
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int imgCols = 1056;
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int x_skip = 50;
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int y_skip = 50;
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// 计算点云范围
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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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// 不扩展边界,直接使用点云范围
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// 计算投影比例
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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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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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// 创建图像
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QImage image(imgCols, imgRows, QImage::Format_RGB888);
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image.fill(Qt::black);
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QPainter painter(&image);
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painter.setRenderHint(QPainter::Antialiasing);
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// 绘制点云数据 - 使用单色灰色
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QColor grayColor(150, 150, 150);
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for (const auto& scanLine : xyzData) {
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for (const auto& point : scanLine) {
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if (point.pt3D.z < 1e-4) continue;
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int px = (int)((point.pt3D.x - xMin) / x_scale + x_skip);
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int py = (int)((point.pt3D.y - yMin) / y_scale + y_skip);
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if (px >= 0 && px < imgCols && py >= 0 && py < imgRows) {
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painter.setPen(QPen(grayColor, 1));
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painter.drawPoint(px, py);
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}
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}
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}
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// 绘制孔位标记 - 使用红色
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if (!objOps.empty()) {
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QColor holeColor(255, 0, 0); // 红色
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painter.setPen(QPen(holeColor, 1));
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painter.setBrush(QBrush(holeColor));
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for (size_t i = 0; i < objOps.size(); i++) {
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const auto& holeGroup = objOps[i];
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size_t groupSize = holeGroup.size();
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for (size_t j = 0; j < groupSize; j++) {
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const SVzNL3DPoint& hole = holeGroup[j];
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// 跳过全0的点
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if (fabs(hole.x) < 0.0001 && fabs(hole.y) < 0.0001 && fabs(hole.z) < 0.0001) {
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continue;
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}
|
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int px = (int)((hole.x - xMin) / x_scale + x_skip);
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int py = (int)((hole.y - yMin) / y_scale + y_skip);
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if (px >= 0 && px < imgCols && py >= 0 && py < imgRows) {
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// 绘制圆点标记
|
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int circleSize = 2;
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painter.drawEllipse(px - circleSize/2, py - circleSize/2, circleSize, circleSize);
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// 只有中心点(最后一个点)才绘制编号
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if (j == groupSize - 1) {
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painter.setPen(QPen(Qt::white, 1));
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QFont font("Arial", 14, QFont::Bold);
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painter.setFont(font);
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painter.drawText(px + 8, py + 6, QString("%1").arg(i + 1));
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// 恢复画笔
|
|
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painter.setPen(QPen(holeColor, 1));
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painter.setBrush(QBrush(holeColor));
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}
|
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}
|
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|
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}
|
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|
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}
|
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|
|
}
|
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|
|
detectionResult.image = image;
|
|
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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
|
|
|
|
|
|
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());
|
|
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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 {
|
|
|
|
|
|
LOG_WARNING("[Algo Thread] No valid image to save for debug\n");
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
return nRet;
|
|
|
|
|
|
}
|