306 lines
12 KiB
C++
Raw Normal View History

#include "DetectPresenter.h"
#include "rodAndBarDetection_Export.h"
#include "AlgoParamConverter.h"
2026-03-29 10:48:35 +08:00
#include "IHandEyeCalib.h"
#include <fstream>
#define _USE_MATH_DEFINES
#include <cmath>
2026-03-29 10:48:35 +08:00
#include <memory>
#include <QPainter>
#include <QPen>
#include <QColor>
2026-03-29 10:48:35 +08:00
namespace
{
HECEulerOrder ToHandEyeEulerOrder(int eulerOrder)
{
switch (eulerOrder) {
case 10: return HECEulerOrder::XYZ;
case 11: return HECEulerOrder::ZYX;
case 12: return HECEulerOrder::ZXY;
case 13: return HECEulerOrder::YXZ;
case 14: return HECEulerOrder::YZX;
case 15: return HECEulerOrder::XZY;
default:
LOG_WARNING("Unsupported euler order %d, fallback to 11(sZYX)\n", eulerOrder);
return HECEulerOrder::ZYX;
}
}
} // namespace
DetectPresenter::DetectPresenter(/* args */)
{
LOG_DEBUG("DetectPresenter Init algo ver: %s\n", wd_rodAndBarDetectionVersion());
}
DetectPresenter::~DetectPresenter()
{
}
QString DetectPresenter::GetAlgoVersion()
{
return QString(wd_rodAndBarDetectionVersion());
}
int DetectPresenter::DetectRod(
int cameraIndex,
std::vector<std::pair<EVzResultDataType, SVzLaserLineData>>& laserLines,
const VrAlgorithmParams& algorithmParams,
const VrDebugParam& debugParam,
LaserDataLoader& dataLoader,
const double clibMatrix[16],
2026-03-29 10:48:35 +08:00
int eulerOrder,
int dirVectorInvert,
int longAxisDir,
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);
}
// 使用 AlgoParamConverter 进行参数转换
SSX_rodParam rodParam = AlgoParamConverter::ToAlgoParam(algorithmParams.rodParam);
SSG_cornerParam cornerParam = AlgoParamConverter::ToAlgoParam(algorithmParams.cornerParam);
SSG_treeGrowParam growParam = AlgoParamConverter::ToAlgoParam(algorithmParams.growParam);
SSG_outlierFilterParam filterParam = AlgoParamConverter::ToAlgoParam(algorithmParams.filterParam);
// 构建平面标定参数
SSG_planeCalibPara poseCalibPara = AlgoParamConverter::ToAlgoPlaneCalibParam(cameraCalibParam);
if(debugParam.enableDebug && debugParam.printDetailLog)
{
AlgoParamConverter::LogAlgoParams("[Algo Thread]", rodParam, cornerParam, filterParam, growParam, clibMatrix);
}
int errCode = 0;
CVrTimeUtils oTimeUtils;
LOG_DEBUG("before sx_rodPositioning \n");
// 调用棒材定位算法
std::vector<SSX_rodPositionInfo> rodInfo;
sx_rodPositioning(
xyzData,
poseCalibPara,
cornerParam,
filterParam,
growParam,
rodParam,
rodInfo,
&errCode);
LOG_DEBUG("after sx_rodPositioning \n");
2026-03-29 10:48:35 +08:00
LOG_INFO("sx_rodPositioning: detected %zu rods, err=%d runtime=%.3fms\n", rodInfo.size(), errCode, oTimeUtils.GetElapsedTimeInMilliSec());
ERR_CODE_RETURN(errCode);
2026-03-29 10:48:35 +08:00
std::unique_ptr<IHandEyeCalib, decltype(&DestroyHandEyeCalibInstance)> handEyeCalib(
CreateHandEyeCalibInstance(),
DestroyHandEyeCalibInstance);
if (!handEyeCalib) {
LOG_ERROR("Failed to create HandEyeCalib instance\n");
return ERR_CODE(DEV_NOT_FIND);
}
const HECCalibResult calibResult = HECCalibResult::fromHomogeneousArray(clibMatrix);
2026-03-29 10:48:35 +08:00
const HECEulerOrder hecEulerOrder = ToHandEyeEulerOrder(eulerOrder);
// 构建检测结果:生成点云图像
// 1. 获取所有棒材的中心点用于可视化
std::vector<std::vector<SVzNL3DPoint>> objOps;
std::vector<SVzNL3DPoint> rodCenters;
for (const auto& rod : rodInfo) {
SVzNL3DPoint pt;
pt.x = rod.center.x;
pt.y = rod.center.y;
pt.z = rod.center.z;
rodCenters.push_back(pt);
}
if (!rodCenters.empty()) {
objOps.push_back(rodCenters);
}
2026-04-02 00:38:50 +08:00
// 从点云数据生成投影图像10cm边界同时获取点云原始范围
double margin = 100.0; // 10cm = 100mm
double xMin, xMax, yMin, yMax;
detectionResult.image = PointCloudImageUtils::GeneratePointCloudRetPointImage(xyzData, objOps, margin, &xMin, &xMax, &yMin, &yMax);
// 在图像上绘制棒材的轴向方向线
if (!detectionResult.image.isNull() && !rodInfo.empty()) {
QPainter painter(&detectionResult.image);
painter.setRenderHint(QPainter::Antialiasing);
// 扩展边界与GeneratePointCloudRetPointImage相同
xMin -= margin;
xMax += margin;
yMin -= margin;
yMax += margin;
// 使用与GeneratePointCloudRetPointImage相同的参数
int imgRows = detectionResult.image.height();
int imgCols = detectionResult.image.width();
int x_skip = 50;
int y_skip = 50;
// 计算投影比例与PointCloudImageUtils相同的方式
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;
// 使用统一的比例尺
double scale = std::max(x_scale, y_scale);
x_scale = scale;
y_scale = scale;
// 计算点云在图像中居中的偏移量与PointCloudImageUtils一致
double cloudWidth = (xMax - xMin) / scale;
double cloudHeight = (yMax - yMin) / scale;
int x_offset = x_skip + (int)((x_cols - cloudWidth) / 2);
int y_offset = y_skip + (int)((y_rows - cloudHeight) / 2);
// 转换3D坐标到图像坐标的lambda函数使用居中偏移
auto toImageCoord = [&](const SVzNL3DPoint& pt) -> QPointF {
int px = (int)((pt.x - xMin) / x_scale + x_offset);
int py = (int)((pt.y - yMin) / y_scale + y_offset);
return QPointF(px, py);
};
// 绘制棒材的轴向方向线
for (const auto& rod : rodInfo) {
// 绘制轴向方向线(红色)
double len = 60;
QPen axisPen(QColor(255, 0, 0), 2);
painter.setPen(axisPen);
SVzNL3DPoint pt0 = { rod.center.x - len * rod.axialDir.x,
rod.center.y - len * rod.axialDir.y,
rod.center.z - len * rod.axialDir.z };
SVzNL3DPoint pt1 = { rod.center.x + len * rod.axialDir.x,
rod.center.y + len * rod.axialDir.y,
rod.center.z + len * rod.axialDir.z };
QPointF imgPt0 = toImageCoord(pt0);
QPointF imgPt1 = toImageCoord(pt1);
painter.drawLine(imgPt0, imgPt1);
// 绘制起点到终点线段(绿色)
QPen segPen(QColor(0, 255, 0), 2);
painter.setPen(segPen);
SVzNL3DPoint startPt = { rod.startPt.x, rod.startPt.y, rod.startPt.z };
SVzNL3DPoint endPt = { rod.endPt.x, rod.endPt.y, rod.endPt.z };
QPointF imgStart = toImageCoord(startPt);
QPointF imgEnd = toImageCoord(endPt);
painter.drawLine(imgStart, imgEnd);
}
}
// 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 < rodInfo.size(); i++) {
const auto& rod = rodInfo[i];
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);
LOG_INFO("[Algo Thread] Rod %zu Input X seed: [%.6f, %.6f, %.6f]\n", i, rod.axialDir.x, rod.axialDir.y, rod.axialDir.z);
LOG_INFO("[Algo Thread] Rod %zu Input Z seed: [%.6f, %.6f, %.6f]\n", i, rod.normalDir.x, rod.normalDir.y, rod.normalDir.z);
HECPoseResult poseResult;
bool validPose = handEyeCalib->TransformPose(
calibResult,
HECPoint3D(rod.center.x, rod.center.y, rod.center.z),
HECPoint3D(rod.axialDir.x, rod.axialDir.y, rod.axialDir.z),
HECPoint3D(rod.normalDir.x, rod.normalDir.y, rod.normalDir.z),
dirVectorInvert,
hecEulerOrder,
longAxisDir == 1 ? HECLongAxisDir::AxisY : HECLongAxisDir::AxisX,
poseResult);
2026-03-29 10:48:35 +08:00
if (!validPose) {
LOG_WARNING("[Algo Thread] Rod %zu has invalid axial/normal direction, use zero pose\n", i);
}
double rollDeg = 0.0, pitchDeg = 0.0, yawDeg = 0.0;
poseResult.angles.toDegrees(rollDeg, pitchDeg, yawDeg);
// 创建位置数据(使用转换后的机械臂坐标)
RodPosition pos;
2026-03-29 10:48:35 +08:00
pos.roll = rollDeg;
pos.pitch = pitchDeg;
pos.yaw = yawDeg;
pos.x = poseResult.position.x;
pos.y = poseResult.position.y;
pos.z = poseResult.position.z;
detectionResult.positions.push_back(pos);
// 保存棒材信息
RodInfo info;
info.centerX = poseResult.position.x;
info.centerY = poseResult.position.y;
info.centerZ = poseResult.position.z;
info.axialDirX = rod.axialDir.x;
info.axialDirY = rod.axialDir.y;
info.axialDirZ = rod.axialDir.z;
info.normalDirX = rod.normalDir.x;
info.normalDirY = rod.normalDir.y;
info.normalDirZ = rod.normalDir.z;
info.startPtX = rod.startPt.x;
info.startPtY = rod.startPt.y;
info.startPtZ = rod.startPt.z;
info.endPtX = rod.endPt.x;
info.endPtY = rod.endPt.y;
info.endPtZ = rod.endPt.z;
detectionResult.rodInfoList.push_back(info);
// Print key values for coordinate transform debugging
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);
}
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;
}