Visualization.cpp

/*****************************************************************************
*   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 "stdafx.h"
#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;
 
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::toROSMsg(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("SfMToyLibrary Viewe");
    	
	viewer.registerKeyboardCallback (keyboardEventOccurred, (void*)&viewer);
	
    while (!viewer.wasStopped ())
    {
		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");
				}
			}
			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();
    }
}	

boost::thread* _t = NULL;
void RunVisualizationThread() {
	_t = new boost::thread(RunVisualizationOnly);
}
void WaitForVisualizationThread() {
	_t->join();
}


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);
	}
}