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visualization.cpp
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/*!
* \file vizualization.cpp
* \author Gabriel Urbain <[email protected]> - Visiting student at MIT SSL
* \date SeptemberS 2014
* \version 0.1
* \brief PCL vizualization by Roy Shilkrot http://www.morethantechnical.com/
*/
/*****************************************************************************
* ExploringSfMWithOpenCV
******************************************************************************
* by Roy Shilkrot, 5th Dec 2012
* http://www.morethantechnical.com/
******************************************************************************
* Ch4 of the book "Mastering OpenCV with Practical Computer Vision Projects"
* Copyright Packt Publishing 2012.
* http://www.packtpub.com/cool-projects-with-opencv/book
*****************************************************************************/
#include "visualization.h"
#include <pcl/common/common.h>
#include <pcl/visualization/cloud_viewer.h>
#include <pcl/visualization/pcl_visualizer.h>
#include <pcl/io/io.h>
#include <pcl/io/file_io.h>
#include <pcl/io/pcd_io.h>
#include <pcl/ModelCoefficients.h>
#include <pcl/point_types.h>
#include <pcl/sample_consensus/ransac.h>
#include <pcl/sample_consensus/sac_model_plane.h>
#include <pcl/filters/extract_indices.h>
#include <pcl/filters/statistical_outlier_removal.h>
#include <pcl/filters/voxel_grid.h>
#include <boost/thread.hpp>
#include <opencv2/core/core.hpp>
#include <Eigen/Eigen>
using namespace std;
using namespace Eigen;
int pt_gu_size;
void PopulatePCLPointCloud(const pcl::PointCloud<pcl::PointXYZRGB>::Ptr& mycloud,
const vector<cv::Point3d>& pointcloud,
const std::vector<cv::Vec3b>& pointcloud_RGB,
bool write_to_file = false
);
#define pclp3(eigenv3f) pcl::PointXYZ(eigenv3f.x(),eigenv3f.y(),eigenv3f.z())
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud,cloud1,cloud_no_floor,orig_cloud;
std::string cloud_to_show_name = "";
bool show_cloud = false;
bool sor_applied = false;
bool show_cloud_A = true;
////////////////////////////////// Show Camera ////////////////////////////////////
std::deque<std::pair<std::string,pcl::PolygonMesh> > cam_meshes;
std::deque<std::pair<std::string,std::vector<Matrix<float,6,1> > > > linesToShow;
//TODO define mutex
bool bShowCam;
int iCamCounter = 0;
int iLineCounter = 0;
int ipolygon[18] = {0,1,2, 0,3,1, 0,4,3, 0,2,4, 3,1,4, 2,4,1};
inline pcl::PointXYZ Eigen2PointXYZ(Eigen::Vector3f v) { return pcl::PointXYZ(v[0],v[1],v[2]); }
inline pcl::PointXYZRGB Eigen2PointXYZRGB(Eigen::Vector3f v, Eigen::Vector3f rgb) { pcl::PointXYZRGB p(rgb[0],rgb[1],rgb[2]); p.x = v[0]; p.y = v[1]; p.z = v[2]; return p; }
inline pcl::PointNormal Eigen2PointNormal(Eigen::Vector3f v, Eigen::Vector3f n) { pcl::PointNormal p; p.x=v[0];p.y=v[1];p.z=v[2];p.normal_x=n[0];p.normal_y=n[1];p.normal_z=n[2]; return p;}
inline float* Eigen2float6(Eigen::Vector3f v, Eigen::Vector3f rgb) { static float buf[6]; buf[0]=v[0];buf[1]=v[1];buf[2]=v[2];buf[3]=rgb[0];buf[4]=rgb[1];buf[5]=rgb[2]; return buf; }
inline Matrix<float,6,1> Eigen2Eigen(Vector3f v, Vector3f rgb) { return (Matrix<float,6,1>() << v[0],v[1],v[2],rgb[0],rgb[1],rgb[2]).finished(); }
inline std::vector<Matrix<float,6,1> > AsVector(const Matrix<float,6,1>& p1, const Matrix<float,6,1>& p2) { std::vector<Matrix<float,6,1> > v(2); v[0] = p1; v[1] = p2; return v; }
void visualizerShowCamera(const Matrix3f& R, const Vector3f& _t, float r, float g, float b, double s = 0.01 /*downscale factor*/, const std::string& name = "") {
std::string name_ = name,line_name = name + "line";
if (name.length() <= 0) {
stringstream ss; ss<<"camera"<<iCamCounter++;
name_ = ss.str();
ss << "line";
line_name = ss.str();
}
Vector3f t = -R.transpose() * _t;
Vector3f vright = R.row(0).normalized() * s;
Vector3f vup = -R.row(1).normalized() * s;
Vector3f vforward = R.row(2).normalized() * s;
Vector3f rgb(r,g,b);
pcl::PointCloud<pcl::PointXYZRGB> mesh_cld;
mesh_cld.push_back(Eigen2PointXYZRGB(t,rgb));
mesh_cld.push_back(Eigen2PointXYZRGB(t + vforward + vright/2.0 + vup/2.0,rgb));
mesh_cld.push_back(Eigen2PointXYZRGB(t + vforward + vright/2.0 - vup/2.0,rgb));
mesh_cld.push_back(Eigen2PointXYZRGB(t + vforward - vright/2.0 + vup/2.0,rgb));
mesh_cld.push_back(Eigen2PointXYZRGB(t + vforward - vright/2.0 - vup/2.0,rgb));
//TODO Mutex acquire
pcl::PolygonMesh pm;
pm.polygons.resize(6);
for(int i=0;i<6;i++)
for(int _v=0;_v<3;_v++)
pm.polygons[i].vertices.push_back(ipolygon[i*3 + _v]);
pcl::toPCLPointCloud2(mesh_cld,pm.cloud);
bShowCam = true;
cam_meshes.push_back(std::make_pair(name_,pm));
//TODO mutex release
linesToShow.push_back(std::make_pair(line_name,
AsVector(Eigen2Eigen(t,rgb),Eigen2Eigen(t + vforward*3.0,rgb))
));
}
void visualizerShowCamera(const float R[9], const float t[3], float r, float g, float b) {
visualizerShowCamera(Matrix3f(R).transpose(),Vector3f(t),r,g,b);
}
void visualizerShowCamera(const float R[9], const float t[3], float r, float g, float b, double s) {
visualizerShowCamera(Matrix3f(R).transpose(),Vector3f(t),r,g,b,s);
}
void visualizerShowCamera(const cv::Matx33f& R, const cv::Vec3f& t, float r, float g, float b, double s, const std::string& name) {
visualizerShowCamera(Matrix<float,3,3,RowMajor>(R.val),Vector3f(t.val),r,g,b,s,name);
}
/////////////////////////////////////////////////////////////////////////////////
void viewerOneOff (pcl::visualization::PCLVisualizer& viewer)
{
// viewer.setBackgroundColor(255,255,255); //white background
// viewer.removeCoordinateSystem(); //remove the axes
}
void SORFilter() {
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud_filtered (new pcl::PointCloud<pcl::PointXYZRGB>);
std::cerr << "Cloud before SOR filtering: " << cloud->width * cloud->height << " data points" << std::endl;
// Create the filtering object
pcl::StatisticalOutlierRemoval<pcl::PointXYZRGB> sor;
sor.setInputCloud (cloud);
sor.setMeanK (50);
sor.setStddevMulThresh (1.0);
sor.filter (*cloud_filtered);
std::cerr << "Cloud after SOR filtering: " << cloud_filtered->width * cloud_filtered->height << " data points " << std::endl;
copyPointCloud(*cloud_filtered,*cloud);
copyPointCloud(*cloud,*orig_cloud);
// std::cerr << "PointCloud before VoxelGrid filtering: " << cloud->width * cloud->height << " data points (" << pcl::getFieldsList (*cloud) << ")."<<std::endl;
//
// cloud_filtered.reset(new pcl::PointCloud<pcl::PointXYZRGB>);
//
// // Create the filtering object
// pcl::VoxelGrid<pcl::PointXYZRGB> vgrid;
// vgrid.setInputCloud (cloud);
// vgrid.setLeafSize (0.1f, 0.1f, 0.1f);
// vgrid.filter (*cloud_filtered);
//
// std::cerr << "PointCloud after VoxelGrid filtering: " << cloud_filtered->width * cloud_filtered->height << " data points (" << pcl::getFieldsList (*cloud_filtered) << ")."<<std::endl;
//
// copyPointCloud(*cloud_filtered,*cloud);
}
void keyboardEventOccurred (const pcl::visualization::KeyboardEvent& event_,
void* viewer_void)
{
pcl::visualization::CloudViewer* viewer = static_cast<pcl::visualization::CloudViewer *> (viewer_void);
// cout << "event_.getKeySym () = " << event_.getKeySym () << " event_.keyDown () " << event_.keyDown () << endl;
if ((event_.getKeySym () == "s" || event_.getKeySym () == "S") && event_.keyDown ())
{
cout << "s clicked" << endl;
cloud->clear();
copyPointCloud(*orig_cloud,*cloud);
if (!sor_applied) {
SORFilter();
sor_applied = true;
} else {
sor_applied = false;
}
show_cloud = true;
}
if ((event_.getKeySym ().compare("1") == 0)
#ifndef WIN32
&& event_.keyDown ()
#endif
)
{
show_cloud_A = true;
show_cloud = true;
}
if ((event_.getKeySym ().compare("2") == 0)
#ifndef WIN32
&& event_.keyDown ()
#endif
)
{
show_cloud_A = false;
show_cloud = true;
}
}
void RunVisualization(const vector<cv::Point3d>& pointcloud,
const vector<cv::Vec3b>& pointcloud_RGB,
const vector<cv::Point3d>& pointcloud1,
const vector<cv::Vec3b>& pointcloud1_RGB)
{
ShowClouds(pointcloud,pointcloud_RGB,pointcloud1,pointcloud1_RGB);
RunVisualizationOnly();
}
void ShowClouds(const vector<cv::Point3d>& pointcloud,
const vector<cv::Vec3b>& pointcloud_RGB,
const vector<cv::Point3d>& pointcloud1,
const vector<cv::Vec3b>& pointcloud1_RGB)
{
cloud.reset(new pcl::PointCloud<pcl::PointXYZRGB>);
cloud1.reset(new pcl::PointCloud<pcl::PointXYZRGB>);
orig_cloud.reset(new pcl::PointCloud<pcl::PointXYZRGB>);
PopulatePCLPointCloud(cloud,pointcloud,pointcloud_RGB);
PopulatePCLPointCloud(cloud1,pointcloud1,pointcloud1_RGB);
copyPointCloud(*cloud,*orig_cloud);
cloud_to_show_name = "";
show_cloud = true;
show_cloud_A = true;
}
void ShowCloud(pcl::PointCloud<pcl::PointXYZRGB>::Ptr _cloud, const std::string& name) {
cloud.reset(new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::copyPointCloud(*_cloud,*cloud);
cloud_to_show_name = name;
show_cloud = true;
show_cloud_A = true;
}
void ShowCloud(const vector<cv::Point3d>& pointcloud,
const vector<cv::Vec3b>& pointcloud_RGB,
const std::string& name) {
pcl::PointCloud<pcl::PointXYZRGB>::Ptr newcloud(new pcl::PointCloud<pcl::PointXYZRGB>);
PopulatePCLPointCloud(newcloud,pointcloud,pointcloud_RGB);
ShowCloud(newcloud,name);
}
void RunVisualizationOnly() {
pcl::visualization::PCLVisualizer viewer("DEBUG Viewer");
viewer.registerKeyboardCallback (keyboardEventOccurred, (void*)&viewer);
viewer.addCoordinateSystem (0.05);
while (!viewer.wasStopped ()) {
try {
if (show_cloud) {
cout << "Show cloud: ";
if(cloud_to_show_name != "") {
cout << "show named cloud " << cloud_to_show_name << endl;
viewer.removePointCloud(cloud_to_show_name);
viewer.addPointCloud(cloud,cloud_to_show_name);
} else {
if(show_cloud_A) {
cout << "show cloud A" << endl;
viewer.removePointCloud("orig");
viewer.addPointCloud(cloud,"orig");
} else {
cout << "show cloud B" << endl;
viewer.removePointCloud("orig");
viewer.addPointCloud(cloud1,"orig");
}
}
viewer.setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_POINT_SIZE, pt_gu_size, "orig");
show_cloud = false;
}
if(cam_meshes.size() > 0) {
int num_cams = cam_meshes.size();
cout << "showing " << num_cams << " cameras" << endl;
while(cam_meshes.size()>0) {
viewer.removeShape(cam_meshes.front().first);
viewer.addPolygonMesh(cam_meshes.front().second,cam_meshes.front().first);
cam_meshes.pop_front();
}
}
if(linesToShow.size() > 0) {
cout << "showing " << linesToShow.size() << " lines" << endl;
while(linesToShow.size()>0) {
vector<Matrix<float,6,1> > oneline = linesToShow.front().second;
pcl::PointXYZRGB A(oneline[0][3],oneline[0][4],oneline[0][5]),
B(oneline[1][3],oneline[1][4],oneline[1][5]);
for(int j=0;j<3;j++) {A.data[j] = oneline[0][j]; B.data[j] = oneline[1][j];}
viewer.removeShape(linesToShow.front().first);
viewer.addLine<pcl::PointXYZRGB,pcl::PointXYZRGB>(A,B,linesToShow.front().first);
linesToShow.pop_front();
}
linesToShow.clear();
}
viewer.spinOnce(1);
} catch(boost::thread_interrupted&) {
cout << "Vizualizer thread is stopped" << endl;
return;
}
}
}
boost::thread* _t = NULL;
void RunVisualizationThread(int pt_size) {
pt_gu_size = pt_size;
_t = new boost::thread(RunVisualizationOnly);
}
void WaitForVisualizationThread() {
_t->join();
delete _t;
_t = NULL;
}
void InterruptVisualizationThread() {
_t->interrupt();
delete _t;
_t = NULL;
}
void PopulatePCLPointCloud(const pcl::PointCloud<pcl::PointXYZRGB>::Ptr& mycloud,
const vector<cv::Point3d>& pointcloud,
const std::vector<cv::Vec3b>& pointcloud_RGB,
bool write_to_file
)
//Populate point cloud
{
cout << "Creating point cloud...";
double t = cv::getTickCount();
for (unsigned int i=0; i<pointcloud.size(); i++) {
// get the RGB color value for the point
cv::Vec3b rgbv(255,255,255);
if (pointcloud_RGB.size() > i) {
rgbv = pointcloud_RGB[i];
}
// check for erroneous coordinates (NaN, Inf, etc.)
if (pointcloud[i].x != pointcloud[i].x ||
pointcloud[i].y != pointcloud[i].y ||
pointcloud[i].z != pointcloud[i].z ||
#ifndef WIN32
isnan(pointcloud[i].x) ||
isnan(pointcloud[i].y) ||
isnan(pointcloud[i].z) ||
#else
_isnan(pointcloud[i].x) ||
_isnan(pointcloud[i].y) ||
_isnan(pointcloud[i].z) ||
#endif
//fabsf(pointcloud[i].x) > 10.0 ||
//fabsf(pointcloud[i].y) > 10.0 ||
//fabsf(pointcloud[i].z) > 10.0
false
)
{
continue;
}
pcl::PointXYZRGB pclp;
// 3D coordinates
pclp.x = pointcloud[i].x;
pclp.y = pointcloud[i].y;
pclp.z = pointcloud[i].z;
// RGB color, needs to be represented as an integer
uint32_t rgb = ((uint32_t)rgbv[2] << 16 | (uint32_t)rgbv[1] << 8 | (uint32_t)rgbv[0]);
pclp.rgb = *reinterpret_cast<float*>(&rgb);
mycloud->push_back(pclp);
}
mycloud->width = (uint32_t) mycloud->points.size(); // number of points
mycloud->height = 1; // a list, one row of data
t = ((double)cv::getTickCount() - t)/cv::getTickFrequency();
cout << "Done. (" << t <<"s)"<< endl;
// write to file
if (write_to_file) {
//pcl::PLYWriter pw;
//pw.write("pointcloud.ply",*mycloud);
pcl::PCDWriter pw;
pw.write("pointcloud.pcd",*mycloud);
}
}