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#include "DetectPresenter.h"
#include "BQ_workpieceCornerExtraction_Export.h"
#include <fstream>
DetectPresenter::DetectPresenter(/* args */)
{
LOG_DEBUG("DetectPresenter Init algo ver: %s\n", wd_BQWorkpieceCornerVersion());
}
DetectPresenter::~DetectPresenter()
{
}
int DetectPresenter::DetectWorkpiece(
int cameraIndex,
std::vector<std::pair<EVzResultDataType, SVzLaserLineData>>& laserLines,
const VrAlgorithmParams& algorithmParams,
const VrDebugParam& debugParam,
LaserDataLoader& dataLoader,
const double clibMatrix[16],
DetectionResult& 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<std::vector<SVzNL3DPosition>> 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);
}
// 工件角点提取参数
SSX_BQworkpiecePara bqWorkpieceParam;
bqWorkpieceParam.lineLen = algorithmParams.workpieceParam.lineLen;
SSG_cornerParam cornerParam;
cornerParam.minEndingGap = algorithmParams.cornerParam.minEndingGap;
cornerParam.minEndingGap_z = algorithmParams.cornerParam.minEndingGap_z;
cornerParam.scale = algorithmParams.cornerParam.scale;
cornerParam.cornerTh = algorithmParams.cornerParam.cornerTh;
cornerParam.jumpCornerTh_1 = algorithmParams.cornerParam.jumpCornerTh_1;
cornerParam.jumpCornerTh_2 = algorithmParams.cornerParam.jumpCornerTh_2;
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;
SSG_outlierFilterParam filterParam;
filterParam.continuityTh = algorithmParams.filterParam.continuityTh;
filterParam.outlierTh = algorithmParams.filterParam.outlierTh;
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]);
// 打印拐角参数
LOG_INFO("[Algo Thread] Corner: cornerTh=%.1f, scale=%.1f, minEndingGap=%.1f, minEndingGap_z=%.1f, jumpCornerTh_1=%.1f, jumpCornerTh_2=%.1f\n",
cornerParam.cornerTh, cornerParam.scale, cornerParam.minEndingGap,
cornerParam.minEndingGap_z, cornerParam.jumpCornerTh_1, cornerParam.jumpCornerTh_2);
// 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);
// 打印工件角点提取参数
LOG_INFO("[Algo Thread] BQ Workpiece: lineLen=%.1f\n", bqWorkpieceParam.lineLen);
}
// 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");
for(size_t i = 0; i < xyzData.size(); i++){
sx_BQ_lineDataR(xyzData[i], cameraCalibParam->planeCalib, -1);
}
}
int errCode = 0;
CVrTimeUtils oTimeUtils;
LOG_DEBUG("before sx_BQ_getWorkpieceCorners \n");
// 调用工件角点提取算法
SSX_debugInfo debugContours[4];
SSX_BQworkpieceResult bqResult = sx_BQ_getWorkpieceCorners(
xyzData,
cornerParam,
filterParam,
growParam,
groundCalibPara,
bqWorkpieceParam,
#if _OUTPUT_DEBUG_DATA
debugContours,
#endif
&errCode
);
LOG_DEBUG("after sx_BQ_getWorkpieceCorners \n");
LOG_INFO("sx_BQ_getWorkpieceCorners: workpieceType=%d err=%d runtime=%.3fms\n", bqResult.workpieceType, errCode, oTimeUtils.GetElapsedTimeInMilliSec());
ERR_CODE_RETURN(errCode);
// 保存工件类型到检测结果
detectionResult.workpieceType = bqResult.workpieceType;
// 构建用于可视化的角点数组
// 按照逆时针顺序排列:左侧(从下到上) -> 顶部(从左到右) -> 右侧(从上到下) -> 底部(从右到左)
std::vector<std::vector<SVzNL3DPoint>> objOps;
std::vector<SVzNL3DPoint> allCorners;
// 1. 添加左侧角点(从下到上,逆时针)
for (int i = 0; i < 3; i++) {
SVzNL3DPoint pt;
pt.x = bqResult.corner_L[i].x;
pt.y = bqResult.corner_L[i].y;
pt.z = bqResult.corner_L[i].z;
allCorners.push_back(pt);
}
// 2. 添加顶部角点(从左到右,逆时针)
for (int i = 0; i < 3; i++) {
SVzNL3DPoint pt;
pt.x = bqResult.corner_T[i].x;
pt.y = bqResult.corner_T[i].y;
pt.z = bqResult.corner_T[i].z;
allCorners.push_back(pt);
}
// 3. 添加右侧角点(从上到下,逆时针)
for (int i = 0; i < 3; i++) {
SVzNL3DPoint pt;
pt.x = bqResult.corner_R[i].x;
pt.y = bqResult.corner_R[i].y;
pt.z = bqResult.corner_R[i].z;
allCorners.push_back(pt);
}
// 4. 添加底部角点(从右到左,逆时针)
for (int i = 0; i < 3; i++) {
SVzNL3DPoint pt;
pt.x = bqResult.corner_B[i].x;
pt.y = bqResult.corner_B[i].y;
pt.z = bqResult.corner_B[i].z;
allCorners.push_back(pt);
}
objOps.push_back(allCorners);
// 从点云数据生成投影图像
detectionResult.image = PointCloudImageUtils::GeneratePointCloudRetPointImage(xyzData, objOps);
// 转换检测结果为UI显示格式使用机械臂坐标系数据
for (size_t i = 0; i < objOps.size(); i++) {
for(size_t j = 0; j < objOps[i].size(); j++){
const SVzNL3DPoint& obj = objOps[i][j];
// 进行坐标转换:从算法坐标系转换到机械臂坐标系
SVzNL3DPoint targetObj;
targetObj.x = obj.x;
targetObj.y = obj.y;
targetObj.z = obj.z;
SVzNL3DPoint robotObj;
CVrConvert::EyeToRobot(targetObj, robotObj, clibMatrix);
// 创建位置数据(使用转换后的机械臂坐标)
WorkpiecePosition pos;
pos.x = robotObj.x; // 机械臂坐标X
pos.y = robotObj.y; // 机械臂坐标Y
pos.z = robotObj.z; // 机械臂坐标Z
pos.roll = 0.0; // 搭接焊缝检测不提供姿态角
pos.pitch = 0.0; // 搭接焊缝检测不提供姿态角
pos.yaw = 0.0; // 搭接焊缝检测不提供姿态角
detectionResult.positions.push_back(pos);
if(debugParam.enableDebug && debugParam.printDetailLog){
LOG_INFO("[Algo Thread] Object %zu Eye Coords: X=%.2f, Y=%.2f, Z=%.2f\n", i, obj.x, obj.y, obj.z);
LOG_INFO("[Algo Thread] Object %zu Robot Coords: X=%.2f, Y=%.2f, Z=%.2f, Roll=%.2f, Pitch=%.2f, Yaw=%.2f\n",
i, pos.x, pos.y, pos.z, pos.roll, pos.pitch, pos.yaw);
}
}
}
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;
}