formato txt, formato Pcd, conversión de formato de capas

1 、 TXT 转 PCD

#include<iostream> 
#include<fstream>  
#include <string>  
#include <vector>  
#include <pcl/io/pcd_io.h>  
#include <pcl/point_types.h>  

#include <pcl/visualization/pcl_visualizer.h> 

using namespace std;
int main()
{
    
    
    typedef struct tagPOINT_3D
    {
    
    
        double x;  //mm world coordinate x  
        double y;  //mm world coordinate y  
        double z;  //mm world coordinate z  
        double r;
    }POINT_WORLD;


    /加载txt数据  
    int number_Txt;
    FILE *fp_txt;
    tagPOINT_3D TxtPoint;
    vector<tagPOINT_3D> m_vTxtPoints;
    fp_txt = fopen("za.txt", "r");
    if (fp_txt)
    {
    
    
        while (fscanf(fp_txt, "%lf %lf %lf", &TxtPoint.x, &TxtPoint.y, &TxtPoint.z) != EOF)
        {
    
    
            m_vTxtPoints.push_back(TxtPoint);
        }
    }
    else
        cout << "txt数据加载失败！" << endl;
    number_Txt = m_vTxtPoints.size();
    //pcl::PointCloud<pcl::PointXYZ> cloud;
    pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);
    // Fill in the cloud data  
    cloud->width = number_Txt;
    cloud->height = 1;
    cloud->is_dense = false;
    cloud->points.resize(cloud->width * cloud->height);
    for (size_t i = 0; i < cloud->points.size(); ++i)
    {
    
    
        cloud->points[i].x = m_vTxtPoints[i].x;
        cloud->points[i].y = m_vTxtPoints[i].y;
        cloud->points[i].z = m_vTxtPoints[i].z;
    }
    pcl::io::savePCDFileASCII("txt2pcd_bunny1.pcd", *cloud);
    std::cerr << "Saved " << cloud->points.size() << " data points to txt2pcd.pcd." << std::endl;

    //for (size_t i = 0; i < cloud.points.size(); ++i)
    //  std::cerr << "    " << cloud.points[i].x << " " << cloud.points[i].y << " " << cloud.points[i].z << std::endl;

    //PCL Visualizer
    // Viewer  
    pcl::visualization::PCLVisualizer viewer("Cloud Viewer");
    viewer.addPointCloud(cloud);
    viewer.setBackgroundColor(1, 0.5, 1);

    viewer.spin();
    system("pause");
    return 0;
}

2 、 pcd 转 txt

#include <iostream>
#include <pcl/io/pcd_io.h>  
#include <pcl/point_types.h>  

using namespace std;

int main(int argc, char *argv[])
{
    
    
	pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);
	// Fill in the cloud data  
	if (pcl::io::loadPCDFile<pcl::PointXYZ>("F:\\2020.11.9\\体积检测图片\\pointcloud_pefect.pcd", *cloud) == -1)
	{
    
    
		PCL_ERROR("Couldn't read file chuli.pcd\n");
		return (-1);
	}
	//for (size_t i = 0; i < cloud->points.size(); i++)
	//  std::cout << " " << cloud->points[i].x << " " << cloud->points[i].y
	//  <<" "<< cloud->points[i].z << std::endl;
	int Num = cloud->points.size();
	double *X = new double[Num] {
    
    0};
	double *Y = new double[Num] {
    
    0};
	double *Z = new double[Num] {
    
    0};
	for (size_t i = 0; i < cloud->points.size(); ++i)
	{
    
    
		X[i] = cloud->points[i].x;
		Y[i] = cloud->points[i].y;
		Z[i] = cloud->points[i].z;
	}

	ofstream zos("F:\\2020.11.9\\体积检测图片\\pcd2txt.txt");
	for (int i = 0; i<Num; i++)
	{
    
    
		zos << X[i] << " " << Y[i] << " " << Z[i] << endl;
	}
	cout << "trans has done!!!" << endl;
	cin.get();
	return 0;
}

3. Convierta pcd en ply-matlab

ptCloud = pcread('F:\\2020.11.9\\体积检测图片\好的点云\\sgbm_self\\point_final.pcd');
pcwrite(ptCloud,'F:\\2020.11.9\\体积检测图片\好的点云\\sgbm_self\\point_final.ply');
ptCloud=pcread('F:\\2020.11.9\\体积检测图片\好的点云\\sgbm_self\\point_final.ply');
pcshow('F:\\2020.11.9\\体积检测图片\好的点云\\sgbm_self\\point_final.ply');