安装PCL库
PCL库Github下载地址:https://github.com/PointCloudLibrary/pcl
安装依赖项:
sudo add-apt-repository ppa:v-launchpad-jochen-sprickerhof-de/pcl
sudo apt-get update
sudo apt-get install libpcl-all
执行:
sudo add-apt-repository ppa:v-launchpad-jochen-sprickerhof-de/pcl
sudo apt-get install libpcl-dev
进入下载的PCL包下编译:
mkdir build
cd build
cmake ..
make -j8
安装:
sudo make install
测试代码编写
创建一个文件夹,将pcl_test.cpp和CMakeLists.txt放在该文件夹下
测试代码pcl_test.cpp如下:
#include <iostream>
#include <pcl/common/common_headers.h>
#include <pcl/io/pcd_io.h>
#include <pcl/visualization/pcl_visualizer.h>
#include <pcl/visualization/cloud_viewer.h>
#include <pcl/console/parse.h>
int main(int argc, char **argv) {
std::cout << "Test PCL !!!" << std::endl;
pcl::PointCloud<pcl::PointXYZRGB>::Ptr point_cloud_ptr (new pcl::PointCloud<pcl::PointXYZRGB>);
uint8_t r(255), g(15), b(15);
for (float z(-1.0); z <= 1.0; z += 0.05)
{
for (float angle(0.0); angle <= 360.0; angle += 5.0)
{
pcl::PointXYZRGB point;
point.x = 0.5 * cosf (pcl::deg2rad(angle));
point.y = sinf (pcl::deg2rad(angle));
point.z = z;
uint32_t rgb = (static_cast<uint32_t>(r) << 16 |
static_cast<uint32_t>(g) << 8 | static_cast<uint32_t>(b));
point.rgb = *reinterpret_cast<float*>(&rgb);
point_cloud_ptr->points.push_back (point);
}
if (z < 0.0)
{
r -= 12;
g += 12;
}
else
{
g -= 12;
b += 12;
}
}
point_cloud_ptr->width = (int) point_cloud_ptr->points.size ();
point_cloud_ptr->height = 1;
pcl::visualization::CloudViewer viewer ("test");
viewer.showCloud(point_cloud_ptr);
while (!viewer.wasStopped()){ };
return 0;
}
CMakeLists.txt文件
cmake_minimum_required(VERSION 2.6)
project(pcl_test)
find_package(PCL 1.2 REQUIRED)
include_directories(${PCL_INCLUDE_DIRS})
link_directories(${PCL_LIBRARY_DIRS})
add_definitions(${PCL_DEFINITIONS})
add_executable(pcl_test pcl_test.cpp)
target_link_libraries (pcl_test ${PCL_LIBRARIES})
install(TARGETS pcl_test RUNTIME DESTINATION bin)
**
测试命令
**
在创建的文件夹目录下运行
cmake .
make
./pcl_test
**
效果图
**
显示该图像测试成功
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