#include <iostream>
#include <vector>
#include <ctime>
#include <pcl/point_cloud.h>
#include <pcl/octree/octree.h>
#include <boost/thread/thread.hpp>
#include <pcl/visualization/pcl_visualizer.h>
using namespace std;
int
main(int argc, char** argv)
{
	srand((unsigned int)time(NULL));
	pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);
	// 創(chuàng)建點(diǎn)云數(shù)據(jù)
	cloud->width = 1000;
	cloud->height = 1;
	cloud->points.resize(cloud->width * cloud->height);
	for (size_t i = 0; i < cloud->points.size(); ++i)
	{
		cloud->points[i].x = 1024.0f * rand() / (RAND_MAX + 1.0f);
		cloud->points[i].y = 1024.0f * rand() / (RAND_MAX + 1.0f);
		cloud->points[i].z = 1024.0f * rand() / (RAND_MAX + 1.0f);
	}

	pcl::octree::OctreePointCloudSearch<pcl::PointXYZ> octree(0.1);
	octree.setInputCloud(cloud);
	octree.addPointsFromInputCloud();
	pcl::PointXYZ searchPoint;
	searchPoint.x = 1024.0f * rand() / (RAND_MAX + 1.0f);
	searchPoint.y = 1024.0f * rand() / (RAND_MAX + 1.0f);
	searchPoint.z = 1024.0f * rand() / (RAND_MAX + 1.0f);

	//半徑內(nèi)近鄰搜索
	vector<int>pointIdxRadiusSearch;
	vector<float>pointRadiusSquaredDistance;
	float radius = 256.0f * rand() / (RAND_MAX + 1.0f);
	cout << "Neighbors within radius search at (" << searchPoint.x
		<< " " << searchPoint.y
		<< " " << searchPoint.z
		<< ") with radius=" << radius << endl;
	if (octree.radiusSearch(searchPoint, radius, pointIdxRadiusSearch, pointRadiusSquaredDistance) > 0)
	{
		for (size_t i = 0; i < pointIdxRadiusSearch.size(); ++i)
			cout << "  " << cloud->points[pointIdxRadiusSearch[i]].x
			<< " " << cloud->points[pointIdxRadiusSearch[i]].y
			<< " " << cloud->points[pointIdxRadiusSearch[i]].z
			<< " (squared distance: " << pointRadiusSquaredDistance[i] << ")" << endl;
	}
	// 初始化點(diǎn)云可視化對(duì)象
	boost::shared_ptr<pcl::visualization::PCLVisualizer>viewer(new pcl::visualization::PCLVisualizer("顯示點(diǎn)云"));
	viewer->setBackgroundColor(0, 0, 0); //設(shè)置背景顏色為黑色
	// 對(duì)點(diǎn)云著色可視化 (red).
	pcl::visualization::PointCloudColorHandlerCustom<pcl::PointXYZ>target_color(cloud, 255, 0, 0);
	viewer->addPointCloud<pcl::PointXYZ>(cloud, target_color, "target cloud");
	viewer->setPointCloudRenderingProperties(pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 1, "target cloud");

	// 等待直到可視化窗口關(guān)閉
	while (!viewer->wasStopped())
	{
		viewer->spinOnce(100);
		boost::this_thread::sleep(boost::posix_time::microseconds(1000));
	}

	return (0);
}

#include <iostream>
#include <string>
#include <fstream> 
#include <iostream>
using namespace std;

int main()
{
	ifstream txtfile;//打開(kāi)讀取的文件
	ofstream txt01;//保存的文件
	ofstream txt02;//保存的文件
	string temp;
	int index = 0;//用于判斷奇偶

	txtfile.open("0.txt", ios::in);
 
	while (!txtfile.eof())      // 若未到文件結(jié)束一直循環(huán)
	{

		getline(txtfile, temp);//一行一行讀取
		if (index%2==0)//判斷除以2的余數(shù)，即為奇偶的判斷
		{
			txt01.open("1.txt", ios::app);
			txt01 << temp;
			txt01 << endl;
			txt01.close();
		}
		else
		{
			txt02.open("2.txt", ios::app);
			txt02 << temp;
			txt02 << endl;
			txt02.close();
		}
		index++;
	}
	txtfile.close();  //關(guān)閉文件
	txtfile.close();
	txt01.close();
	txt02.close();
	
	return 0;
}