๐Ÿ’ป
Tutorial
  • INTRO
  • Part 0 (๊ฐœ์š”)
    • README
    • 3D ์˜์ƒ์ฒ˜๋ฆฌ
    • [๋ณ„์ฒจ] PCL & PCD๋ž€ (100%)
    • chapter02 : PCL ์„ค์น˜ (100%)
    • chapter03 : ROS ์‹ค์Šต ์ค€๋น„(100%)
  • Part 1 (์ดˆ๊ธ‰)
    • README
    • PCL ๊ธฐ๋ฐ˜ ๋กœ๋ด‡ ๋น„์ ผ
    • [๋ณ„์ฒจ] ํŒŒ์ผ ์ƒ์„ฑ ๋ฐ ์ž…์ถœ๋ ฅ (70%)
      • PCL-Cpp (70%)
      • PCL-Python (70%)
      • Open3D-Python (70%)
      • ROS ์‹ค์Šต (90%)
    • Filter
    • [๋ณ„์ฒจ] ์ƒ˜ํ”Œ๋ง (70%)
      • ๋‹ค์šด์ƒ˜ํ”Œ๋ง-PCL-Cpp (70%)
      • ๋‹ค์šด์ƒ˜ํ”Œ๋ง-PCL-Python (50%)
      • ์—…์ƒ˜ํ”Œ๋ง-PCL-Cpp (70%)
      • ROS ์‹ค์Šต (90%)
    • [๋ณ„์ฒจ] ๊ด€์‹ฌ ์˜์—ญ ์„ค์ • (70%)
      • PCL-Cpp (70%)
      • PCL-Python (70%)
      • ROS ์‹ค์Šต (90%)
    • [๋ณ„์ฒจ] ๋…ธ์ด์ฆˆ ์ œ๊ฑฐ (70%)
      • PCL-Cpp (70%)
      • PCL-Python (50%)
      • ROS ์‹ค์Šต (90%)
  • Part 2 (์ค‘๊ธ‰)
    • README
    • Kd-Tree/Octree Search
    • Chapter03 : Sample Consensus
    • [๋ณ„์ฒจ] ๋ฐ”๋‹ฅ์ œ๊ฑฐ (RANSAC) (70%)
      • PCL-Cpp (70%)
      • PCL-Python (70%)
      • ROS ์‹ค์Šต (90%)
    • ๊ตฐ์ง‘ํ™” (70%)
      • Euclidean-PCL-Cpp (70%)
      • Euclidean-PCL-Python (0%)
      • Conditional-Euclidean-PCL-Cpp (50%)
      • DBSCAN-PCL-Python (0%)
      • Region-Growing-PCL-Cpp (50%)
      • Region-Growing-RGB-PCL-Cpp (50%)
      • Min-Cut-PCL-Cpp (50%)
      • Model-Outlier-Removal-PCL-Cpp (50%)
      • Progressive-Morphological-Filter-PCL-Cpp (50%)
    • ํฌ์ธํŠธ ํƒ์ƒ‰๊ณผ ๋ฐฐ๊ฒฝ์ œ๊ฑฐ (60%)
      • Search-Octree-PCL-Cpp (70%)
      • Search-Octree-PCL-Python (70%)
      • Search-Kdtree-PCL-Cpp (70%)
      • Search-Kdtree-PCL-Python (70%)
      • Compression-PCL-Cpp (70%)
      • DetectChanges-PCL-Cpp (50%)
      • DetectChanges-PCL-Python (50%)
    • ํŠน์ง• ์ฐพ๊ธฐ (50%)
      • PFH-PCL-Cpp
      • FPFH-PCL-Cpp
      • Normal-PCL-Cpp (70%)
      • Normal-PCL-Python (80%)
      • Tmp
    • ๋ถ„๋ฅ˜/์ธ์‹ (30%)
      • ์ธ์‹-GeometricConsistencyGrouping
      • SVM-RGBD-PCL-Python (70%)
      • SVM-LIDAR-PCL-Python (0%)
      • SVM-ROS (0%)
    • ์ •ํ•ฉ (70%)
      • ICP-PCL-Cpp (70%)
      • ICP-ROS ์‹ค์Šต (10%)
    • ์žฌ๊ตฌ์„ฑ (30%)
      • Smoothig-PCL-Cpp (70%)
      • Smoothig-PCL-Python (70%)
      • Triangulation-PCL-Cpp (70%)
  • Part 3 (๊ณ ๊ธ‰)
    • README
    • ๋”ฅ๋Ÿฌ๋‹ ๊ธฐ๋ฐ˜ ํ•™์Šต ๋ฐ์ดํ„ฐ ์ƒ์„ฑ (0%)
      • PointGAN (90%)
      • AutoEncoder (0%)
    • ๋”ฅ๋Ÿฌ๋‹ ๊ธฐ๋ฐ˜ ์ƒ˜ํ”Œ๋ง ๊ธฐ๋ฒ• (0%)
      • DenseLidarNet (50%)
      • Point Cloud Upsampling Network
      • Pseudo-LiDAR
    • ๋”ฅ๋Ÿฌ๋‹ ๊ธฐ๋ฐ˜ ์ž์œจ์ฃผํ–‰ ํƒ์ง€ ๊ธฐ์ˆ  (0%)
    • ๋”ฅ๋Ÿฌ๋‹ ๊ธฐ๋ฐ˜ ์ž์œจ์ฃผํ–‰ ๋ถ„๋ฅ˜ ๊ธฐ์ˆ  (0%)
      • Multi3D
      • PointNet
      • VoxelNet (50%)
      • YOLO3D
      • SqueezeSeg
      • butNet
  • Snippets
    • PCL-Snippets
    • PCL-Python-Helper (10%)
    • Lidar Data Augmentation
  • Appendix
    • ์‹œ๊ฐํ™”Code
    • ์‹œ๊ฐํ™”ํˆด
    • Annotationํˆด
    • Point Cloud Libraries (0%)
    • ๋ฐ์ดํ„ฐ์…‹
    • Cling_PCL
    • ์ฐธ๊ณ  ์ž๋ฃŒ
    • ์ž‘์„ฑ ๊ณ„ํš_Tips
    • ์šฉ์–ด์ง‘
Powered by GitBook
On this page
  • 1. ์ฝ๊ธฐ
  • 2. ์ƒ์„ฑ & ์“ฐ๊ธฐ
  • 3. ์ƒํ˜ธ ๋ณ€ํ™˜

Was this helpful?

  1. Part 1 (์ดˆ๊ธ‰)
  2. [๋ณ„์ฒจ] ํŒŒ์ผ ์ƒ์„ฑ ๋ฐ ์ž…์ถœ๋ ฅ (70%)

PCL-Cpp (70%)

Previous[๋ณ„์ฒจ] ํŒŒ์ผ ์ƒ์„ฑ ๋ฐ ์ž…์ถœ๋ ฅ (70%)NextPCL-Python (70%)

Last updated 5 years ago

Was this helpful?

PCL-Cpp์—์„œ๋Š” ์ ๊ตฐ ์ž…์ถœ๋ ฅ์„ ์œ„ํ•ด์„œ ํ…œํ”Œ๋ฆฟ ํด๋ž˜์Šค๋‚˜ ๊ตฌ์กฐ์ฒด๋ฅผ ํ™œ์šฉ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ž์„ธํ•œ ๋‚ด์šฉ์€ ์„ ์ฐธ๊ณ  ํ•˜์‹œ๋ฉด ๋ฉ๋‹ˆ๋‹ค.

// template
pcl::PointCloud<pcl::PointXYZ>

// struct 
Pcl::PointXYZ
Pcl::PointXYZI
Pcl::PointXYZRGB
Pcl::PCLPointCloud2

1. ์ฝ๊ธฐ

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

int
main (int argc, char** argv)
{

  //READ #1 
  pcl::PointCloud<pcl::PointXYZ>::Ptr cloud (new pcl::PointCloud<pcl::PointXYZ>);
  pcl::io::loadPCDFile<pcl::PointXYZ> ("tabletop.pcd", *cloud); //๋‚ด๋ถ€์ ์œผ๋กœ reader.read() ํ˜ธ์ถœ 

  //READ #2
  //pcl::PointCloud<pcl::PointXYZ> cloud;
  //pcl::io::loadPCDFile<pcl::PointXYZ>("tabletop.pcd", cloud) //๋‚ด๋ถ€์ ์œผ๋กœ reader.read() ํ˜ธ์ถœ 

  //READ #3
  //pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);
  //pcl::PCDReader reader;
  //reader.read<pcl::PointXYZ>("tabletop.pcd", cloud);


  std::cout << "Loaded " << cloud->width * cloud->height  << std::endl; //cloud_filtered->points.size()

  return (0);
}

์‹œ๊ฐํ™” ํ™•์ธ

$ pcl_viewer tabletop.pcd

2. ์ƒ์„ฑ & ์“ฐ๊ธฐ

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

int
main (int argc, char** argv)
{

  pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>); //SAVE #1
  #pcl::PointCloud<pcl::PointXYZ> cloud; //SAVE #2


  // Fill in the cloud data
  cloud.width = 5;
  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 = 1024 * rand () / (RAND_MAX + 1.0f);
  cloud.points[i].y = 1024 * rand () / (RAND_MAX + 1.0f);
  cloud.points[i].z = 1024 * rand () / (RAND_MAX + 1.0f);
  }


  //SAVE #1
  pcl::io::savePCDFile<pcl::PointXYZ>("test_pcd.pcd", *cloud); //Default binary mode save


  //SAVE #2
  //๋‚ด๋ถ€์ ์œผ๋กœ writer.write ํ˜ธ์ถœ
  //pcl::io::savePCDFile<pcl::PointXYZ>("test_pcd.pcd", cloud); //Default binary mode save
  //pcl::io::savePCDFileASCII<pcl::PointXYZ>("test_pcd_ASCII.pcd", cloud); //ASCII mode
  //pcl::io::savePCDFileBinary<pcl::PointXYZ>("test_pcd_Binary.pcd", cloud); //binary mode 




  //SAVE #3
  //pcl::PCDWriter writer;
  //writer.write<pcl::PointXYZ>("test_pcd.pcd", cloud); //Default binary mode save
  //writer.writeASCII<pcl::PointXYZ>("test_pcd_ASCII.pcd", cloud); //ASCII mode
  //writer.writeBinary<pcl::PointXYZ>("test_pcd_Binary.pcd", cloud); //binary mode
  //options. writer.write("test.pcd", *cloud, Eigen::Vector4f::Zero (), Eigen::Quaternionf::Identity (), false);


  std::cerr << "Saved " << cloud.points.size () << " data points to test_pcd.pcd." << std::endl;


  return (0);
}
// Converting pcl::PCLPointCloud2 to pcl::PointCloud and reverse
#include <pcl/conversions.h>
pcl::PCLPointCloud2 point_cloud2;
pcl::PointCloud<pcl::PointXYZ> point_cloud;
pcl::fromPCLPointCloud2( point_cloud2, point_cloud);
pcl::toPCLPointCloud2(point_cloud, point_cloud2);

3.

[์ด๊ณณ]
์ƒํ˜ธ ๋ณ€ํ™˜
Reading Point Cloud data from PCD files
Writing Point Cloud data to PCD files