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手机商场网站制作,淘宝网站建设类目需要什么资质,南京网站设公司,申请摇号广州网站C PCL库预编译安装与排错：common is required but boost was not found 摘要安装与排错摘要本篇博客记录了Windows平台上C PCL库通过预编译安装的方法与排错过程环境值平台X86 Win10PCL15.0 realease All in OneCMakeWindows 3.29.0Visual Studio2022版安装…

C++ PCL库预编译安装与排错：common is required but boost was not found

摘要
安装与排错

摘要

本篇博客记录了Windows平台上C++ PCL库通过预编译安装的方法与排错过程

环境	值
平台	X86 Win10
PCL	15.0 realease All in One
CMake	Windows 3.29.0
Visual Studio	2022版

安装与排错

安装Visual Studio编译器（限制用户使用Visual Studio编译器）
安装CMake项目构建管理工具（版本要求＞2.8.3）
下载All in one安装包和对应的PDB文件包（用于后期单步调试）

安装：运行All in one安装包，进行安装
- 3rdParty：包含第三方开源库
- bin：编译好的PCL相关的.dll动态库与示例exe文件
- cmake：包含PCL库相关的cmake配置文件，在建立工程时，利用此文件寻找第三方包和PCL对应的include和lib目录
- include：PCL的头文件
- lib：PCL的静态库和动态库.lib入口文件
- share：帮助文档
问题：由于Windows系统的对系统环境变量长度有限制，导致安装All In One安装包时，自动增加系统环境变量时导致出错。此时需要手动添加系统环境变量（参考：配置PCL过程中提示 path too long installer unable to modify path解决_win11系统安装pcl报错warning! path too long installer una-CSDN博客）
解压PDB压缩包并放入PCL安装目录下的bin文件夹中

验证是否安装成功，参考Projecting points using a parametric model — Point Cloud Library 0.0 documentation

新建项目文件和CMakeLists.txt文件

### project_inliers.cpp
#include <iostream>
#include <pcl/point_cloud.h> // for PointCloud
#include <pcl/point_types.h>
#include <pcl/ModelCoefficients.h>
#include <pcl/filters/project_inliers.h>intmain ()
{pcl::PointCloud<pcl::PointXYZ>::Ptr cloud (new pcl::PointCloud<pcl::PointXYZ>);pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_projected (new pcl::PointCloud<pcl::PointXYZ>);// Fill in the cloud datacloud->width  = 5;cloud->height = 1;cloud->points.resize (cloud->width * cloud->height);for (auto& point: *cloud){point.x = 1024 * rand () / (RAND_MAX + 1.0f);point.y = 1024 * rand () / (RAND_MAX + 1.0f);point.z = 1024 * rand () / (RAND_MAX + 1.0f);}std::cerr << "Cloud before projection: " << std::endl;for (const auto& point: *cloud)std::cerr << "    " << point.x << " "<< point.y << " "<< point.z << std::endl;// Create a set of planar coefficients with X=Y=0,Z=1pcl::ModelCoefficients::Ptr coefficients (new pcl::ModelCoefficients ());coefficients->values.resize (4);coefficients->values[0] = coefficients->values[1] = 0;coefficients->values[2] = 1.0;coefficients->values[3] = 0;// Create the filtering objectpcl::ProjectInliers<pcl::PointXYZ> proj;proj.setModelType (pcl::SACMODEL_PLANE);proj.setInputCloud (cloud);proj.setModelCoefficients (coefficients);proj.filter (*cloud_projected);std::cerr << "Cloud after projection: " << std::endl;for (const auto& point: *cloud_projected)std::cerr << "    " << point.x << " "<< point.y << " "<< point.z << std::endl;return (0);
}

# CMakeLists.txt
cmake_minimum_required(VERSION 3.5 FATAL_ERROR)project(project_inliers)find_package(PCL 1.2 REQUIRED)include_directories(${PCL_INCLUDE_DIRS})
link_directories(${PCL_LIBRARY_DIRS})
add_definitions(${PCL_DEFINITIONS})add_executable (project_inliers project_inliers.cpp)
target_link_libraries (project_inliers ${PCL_LIBRARIES})