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lec06_pass_through.cpp
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121 lines (99 loc) · 3.76 KB
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//
// Tutorial Author: shapelim@kaist.ac.kr (임형태)
#include <iostream>
#include <pcl/filters/passthrough.h>
#include <pcl/point_types.h>
#include <pcl/point_cloud.h>
#include <string>
#include <pcl/visualization/pcl_visualizer.h>
using namespace std;
pcl::PointCloud<pcl::PointXYZ>::ConstPtr load_bin(const string &filename) {
FILE *file = fopen(filename.c_str(), "rb");
if (!file) {
std::cerr << "Error: failed to load " << filename << std::endl;
return nullptr;
}
std::vector<float> buffer(1000000);
size_t num_points =
fread(reinterpret_cast<char *>(buffer.data()), sizeof(float), buffer.size(), file) / 4;
fclose(file);
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>());
cloud->resize(num_points);
for (int i = 0; i < num_points; i++) {
auto &pt = cloud->at(i);
pt.x = buffer[i * 4];
pt.y = buffer[i * 4 + 1];
pt.z = buffer[i * 4 + 2];
// pt.intensity = buffer[i * 4 + 3];
}
return cloud;
}
void colorize(const pcl::PointCloud<pcl::PointXYZ> &pc,
pcl::PointCloud<pcl::PointXYZRGB> &pc_colored,
const std::vector<int> &color) {
int N = pc.points.size();
pc_colored.clear();
pcl::PointXYZRGB pt_tmp;
for (int i = 0; i < N; ++i) {
const auto &pt = pc.points[i];
pt_tmp.x = pt.x;
pt_tmp.y = pt.y;
pt_tmp.z = pt.z;
pt_tmp.r = color[0];
pt_tmp.g = color[1];
pt_tmp.b = color[2];
pc_colored.points.emplace_back(pt_tmp);
}
}
int main(int argc, char **argv) {
/*
* Load toy data
*/
pcl::PointCloud<pcl::PointXYZ>::Ptr src(new pcl::PointCloud<pcl::PointXYZ>);
*src = *load_bin("/home/shapelim/git/pcl_tutorial/materials/kitti00_000000.bin");
/**
* Main
*/
pcl::PointCloud<pcl::PointXYZ>::Ptr center(new pcl::PointCloud<pcl::PointXYZ>);
pcl::PointCloud<pcl::PointXYZ>::Ptr outskirt(new pcl::PointCloud<pcl::PointXYZ>);
pcl::PointCloud<pcl::PointXYZ>::Ptr output(new pcl::PointCloud<pcl::PointXYZ>);
float car_size = 3.0; // 3.0m
// X 축으로 filtering
// 중앙 부분 추출
pcl::PassThrough<pcl::PointXYZ> xfilter;
xfilter.setInputCloud(src);
xfilter.setFilterFieldName("x");
xfilter.setFilterLimits(-car_size, car_size);
xfilter.filter(*center);
// 중앙 이외의 부분 추출
// 한번 setInputCloud를 해두면 여러가지로 filter를 계속 할 수 있음
// Class 내부에 setInputCloud로 설정된 member변수 pointcloud는 변하지 않기 때문
xfilter.setNegative(true);
xfilter.filter(*outskirt);
// 그 후 y축 방향으로 중앙에 있는 부분 제거
pcl::PassThrough<pcl::PointXYZ> yfilter;
xfilter.setInputCloud(center);
xfilter.setFilterFieldName("y");
xfilter.setFilterLimits(-car_size, car_size);
xfilter.setNegative(true);
xfilter.filter(*output);
*output += *outskirt;
/*******************************************/
/**
* 결과 visualization 하기
*/
pcl::PointCloud<pcl::PointXYZRGB>::Ptr src_colored(new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr out_colored(new pcl::PointCloud<pcl::PointXYZRGB>);
// Point cloud XYZ에 RGB 칼라 추가하기
colorize(*src, *src_colored, {255, 0, 0});
colorize(*output, *out_colored, {0, 255, 0});
pcl::visualization::PCLVisualizer viewer1("Raw");
pcl::visualization::PCLVisualizer viewer2("filtered");
viewer1.addPointCloud<pcl::PointXYZRGB>(src_colored, "src_red");
viewer2.addPointCloud<pcl::PointXYZRGB>(out_colored, "filtered_green");
while (!viewer1.wasStopped() && !viewer2.wasStopped()) {
viewer1.spinOnce();
viewer2.spinOnce();
}
return 0;
}