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#include "SMPointCloudWidget.h"
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#include <opencv2/opencv.hpp>
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#include <opencv2/core/eigen.hpp>
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#include <vtkWindowToImageFilter.h>
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#include <vtkPNGWriter.h>
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#include <vtkRenderWindow.h>
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#include <pcl/point_cloud.h>
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#include <pcl/point_types.h>
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#include <pcl/common/io.h>
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#include <pcl/visualization/point_cloud_color_handlers.h>
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#include <pcl/geometry/quad_mesh.h>
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#include <fstream>
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#include <QFileDialog>
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#include <QSettings>
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#include "SMCalibrationParameters.h"
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SMPointCloudWidget::SMPointCloudWidget(QWidget *parent) : QVTKWidget(parent) {
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visualizer = new pcl::visualization::PCLVisualizer("PCLVisualizer", false);
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this->SetRenderWindow(visualizer->getRenderWindow());
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// Disable double buffering (which causes lag in VTK6)
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visualizer->getRenderWindow()->SetDoubleBuffer(0);
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visualizer->setShowFPS(false);
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// Create point cloud viewport
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visualizer->setBackgroundColor(0, 0, 0);
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visualizer->addCoordinateSystem(100, "camera0", 0);
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visualizer->setCameraPosition(0,0,-50,0,0,0,0,-1,0);
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// Initialize point cloud color handler
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colorHandler = new pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZRGBNormal>();
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updateCalibrationParameters();
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//time.start();
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}
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void SMPointCloudWidget::addPointCloud(SMPointCloud pointCloud, int id){
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std::string stringId = QString::number(id).toStdString();
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// std::string stringId = QString("id%1").arg(id).toStdString();
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// Note: using the color handler makes a copy of the rgb fields
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colorHandler->setInputCloud(pointCloud.pointCloud);
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if(!visualizer->updatePointCloud(pointCloud.pointCloud, *colorHandler, stringId)){
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visualizer->addPointCloud(pointCloud.pointCloud, *colorHandler, stringId);
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visualizer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 2.0, stringId);
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}
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// transformation matrix in Eigen format
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cv::Mat TransformCV(3, 4, CV_32F);
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cv::Mat(pointCloud.R).copyTo(TransformCV.colRange(0, 3));
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cv::Mat(pointCloud.T).copyTo(TransformCV.col(3));
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Eigen::Affine3f Transform;
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cv::cv2eigen(TransformCV, Transform.matrix());
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visualizer->updatePointCloudPose(stringId, Transform.inverse());
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this->update();
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emit pointCloudDataChanged();
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}
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void SMPointCloudWidget::updatePointCloud(SMPointCloud pointCloud, int id){
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std::string stringId = QString::number(id).toStdString();
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// std::string stringId = QString("id%1").arg(id).toStdString();
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// Note: using the color handler makes a copy of the rgb fields
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colorHandler->setInputCloud(pointCloud.pointCloud);
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if(!visualizer->updatePointCloud(pointCloud.pointCloud, *colorHandler, stringId)){
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visualizer->addPointCloud(pointCloud.pointCloud, *colorHandler, stringId);
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visualizer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 2.0, stringId);
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}
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this->update();
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emit pointCloudDataChanged();
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}
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void SMPointCloudWidget::removePointCloud(int id){
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std::string stringId = QString::number(id).toStdString();
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// std::string stringId = QString("id%1").arg(id).toStdString();
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visualizer->removePointCloud(stringId);
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this->update();
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emit pointCloudDataChanged();
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}
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void SMPointCloudWidget::removeAllPointClouds(){
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visualizer->removeAllPointClouds();
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this->update();
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emit pointCloudDataChanged();
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}
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void SMPointCloudWidget::saveScreenShot(){
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vtkWindowToImageFilter* filter = vtkWindowToImageFilter::New();
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//filter->SetInput(visualizer->getRenderWindow());
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filter->Modified();
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QString fileName = QFileDialog::getSaveFileName(this, "Save Screen Shot", QString(), "*.png");
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QFileInfo info(fileName);
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QString type = info.suffix();
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if(type == "")
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fileName.append(".png");
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vtkPNGWriter* writer = vtkPNGWriter::New();
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writer->SetFileName(qPrintable(fileName));
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writer->SetInputConnection(filter->GetOutputPort());
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writer->Write();
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writer->Delete();
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}
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void SMPointCloudWidget::updateCalibrationParameters(){
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QSettings settings;
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QVariant calibrationVariant = settings.value("calibration/parameters");
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SMCalibrationParameters calibration = calibrationVariant.value<SMCalibrationParameters>();
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// camera 0 coordinate system
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//visualizer->removeCoordinateSystem("camera0", 0);
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visualizer->addCoordinateSystem(100, "camera0", 0);
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// camera 1 coordinate system
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cv::Mat Transform1CV(3, 4, CV_32F);
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cv::Mat(calibration.R1).copyTo(Transform1CV.colRange(0, 3));
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cv::Mat(calibration.T1).copyTo(Transform1CV.col(3));
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Eigen::Affine3f Transform1;
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cv::cv2eigen(Transform1CV, Transform1.matrix());
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//visualizer->removeCoordinateSystem("camera1", 0);
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visualizer->addCoordinateSystem(100, Transform1.inverse(), "camera1", 0);
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// // rotation axis coordinate system
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// cv::Mat TransformRCV(3, 4, CV_32F);
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// cv::Mat(calibration.Rr).copyTo(TransformRCV.colRange(0, 3));
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// cv::Mat(calibration.Tr).copyTo(TransformRCV.col(3));
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// Eigen::Affine3f TransformR;
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// cv::cv2eigen(TransformRCV, TransformR.matrix());
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// visualizer->removeCoordinateSystem("camera1", 0);
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// visualizer->addCoordinateSystem(100, TransformR.inverse(), "rotation", 0);
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// rotation axis pointing (0,1,0) in rotation stage frame
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cv::Vec3f O(0.0, 0.0, 0.0);
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cv::Vec3f v(0.0, 600.0, 0.0);
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// determine coefficients in camera 0 frame
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O = calibration.Rr.t()*O + -calibration.Rr.t()*calibration.Tr;
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v = calibration.Rr.t()*v + -calibration.Rr.t()*calibration.Tr - O;
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pcl::ModelCoefficients lineCoefficients;
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lineCoefficients.values.resize(6);
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lineCoefficients.values[0] = O[0];
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lineCoefficients.values[1] = O[1];
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lineCoefficients.values[2] = O[2];
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lineCoefficients.values[3] = v[0];
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lineCoefficients.values[4] = v[1];
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lineCoefficients.values[5] = v[2];
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visualizer->removeShape("line");
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visualizer->addLine(lineCoefficients);
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}
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SMPointCloudWidget::~SMPointCloudWidget(){
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//delete visualizer;
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}
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