Win10 + Visual Studio 搭建 PCL 开发环境
该教程以 PCL 1.12.1 在 win10 环境下安装,最后使用 VS2019 创建 PCL 工程为例
重要的步骤会进行截图说明,其他的默认下一步就行
1 下载和安装 PCL 库
注意下载的文件名,里面有的
msvc2019
代表的就是要安装VS2019
,即文件名与 VS 版本号对应
- 首先去
Github
下载 PCL 安装文件,下载这两个即可(一个是exe
可执行文件,另一个是pcl
数据库文件)
-
右键管理员运行下载的可执行文件
PCL-1.12.1-AllInOne-msvc2019-win64.exe
,点击下一步、我同意 -
出现如下界面,选择第一项,不添加环境变量(如果这里选择添加环境变量,很大概率会出错,后期我们手动添加),点击下一步
- 选择自定义安装路径,不断点击下一步,等待安装完成(这里有概率出现
OPENNI2
的安装弹窗,若出现了,参考步骤9
;若未出现,根据教程往下走)
- 安装完成后,点击确定关闭页面
- 打开安装目录中的
/3rdParty/OPENNI2/
文件夹,看看里面是否只有一个msi
文件(如果除过该文件,还有许多文件夹,不用管,继续往下)
- 双击运行这个文件,点击下一步,出现如下页面,点击
remove
进行移除,等待程序执行结束(OPENNI2
默认安装在了 C 盘,为了管理方便,这里我们安装到自定义路径下)
-
移除完成后,点击
Finish
关闭界面,然后再次双击运行该程序 -
点击
change
选择自定义安装路径,这里建议选择PCL
安装路径下的/3rdParty/OPENNI2/
文件夹下,然后点击insatll
安装
- 安装完成后,点击
finish
关闭界面,此时步骤6
中提到的文件夹下,应该是如下内容
- 解压缩桌面的
pcl-1.12.1-pdb-msvc2019-win64.zip
压缩包,将解压的文件全部复制粘贴到 PCL 安装路径中的bin
文件夹下
2 配置环境变量
-
直接使用
win10
的搜索功能,搜索“环境变量”,打开系统的环境变量设置页面 -
双击
path
条目,打开环境变量添加页面
- 然后将如下共
9
个路径添加进去(根据我的 PCL 安装目录做参考)
-
全部添加完成之后,点击“确定”,关闭环境变量页面
-
然后看看是不是有如下三个环境变量,一般在安装
OPENNI2
时会自动添加,如果没有,请添加
- 以上均确认无误之后,点击两次“确认”按钮,退出环境变量页面(每个确定都要点,否则等于没添加!!)
3 VS2019 链接 PCL 库
下面的所有文件如果手动粘贴复制,无疑非常麻烦,而且如果换了 PCL 版本或者移动了 PCL 安装目录,那么所有的项目都要重新复制粘贴设置一次
所以我写了一个脚本,自动生成文件,只需要将对应文件的内容粘贴复制即可
脚本请移步我的
Github
仓库 中的pcl_setting_file
项目请先查看 README 文件,里面有脚本的使用方法,该脚本介绍 项目二:pcl_setting_file
-
VS2019 的安装教程请问度娘
-
建立一个 C++ 空项目,随意新建一个源文件(不创建文件的话,后续的设置有个地方不显示),然后右键项目,点击【属性】,打开项目属性设置面板
-
首先最上边选择
Debug
和x64
- 然后分别添加包含目录和库目录
包含目录:
E:\PROGRAM_PATH\PCL 1.12.1\3rdParty\Eigen\eigen3
E:\PROGRAM_PATH\PCL 1.12.1\3rdParty\FLANN\include
E:\PROGRAM_PATH\PCL 1.12.1\3rdParty\VTK\include\vtk-9.1
E:\PROGRAM_PATH\PCL 1.12.1\3rdParty\Qhull\include
E:\PROGRAM_PATH\PCL 1.12.1\include\pcl-1.12
E:\PROGRAM_PATH\PCL 1.12.1\3rdParty\Boost\include\boost-1_78
E:\PROGRAM_PATH\PCL 1.12.1\3rdParty\OpenNI2\Include
库目录:
E:\PROGRAM_PATH\PCL 1.12.1\3rdParty\Boost\lib
E:\PROGRAM_PATH\PCL 1.12.1\3rdParty\FLANN\lib
E:\PROGRAM_PATH\PCL 1.12.1\3rdParty\OpenNI2\Lib
E:\PROGRAM_PATH\PCL 1.12.1\3rdParty\Qhull\lib
E:\PROGRAM_PATH\PCL 1.12.1\3rdParty\VTK\lib
E:\PROGRAM_PATH\PCL 1.12.1\lib
- 再设置附加依赖项
pcl_commond.lib
pcl_featuresd.lib
pcl_filtersd.lib
pcl_iod.lib
pcl_io_plyd.lib
pcl_kdtreed.lib
pcl_keypointsd.lib
pcl_mld.lib
pcl_octreed.lib
pcl_outofcored.lib
pcl_peopled.lib
pcl_recognitiond.lib
pcl_registrationd.lib
pcl_sample_consensusd.lib
pcl_searchd.lib
pcl_segmentationd.lib
pcl_stereod.lib
pcl_surfaced.lib
pcl_trackingd.lib
pcl_visualizationd.lib
libboost_atomic-vc142-mt-gd-x64-1_78.lib
libboost_bzip2-vc142-mt-gd-x64-1_78.lib
libboost_chrono-vc142-mt-gd-x64-1_78.lib
libboost_container-vc142-mt-gd-x64-1_78.lib
libboost_context-vc142-mt-gd-x64-1_78.lib
libboost_contract-vc142-mt-gd-x64-1_78.lib
libboost_coroutine-vc142-mt-gd-x64-1_78.lib
libboost_date_time-vc142-mt-gd-x64-1_78.lib
libboost_exception-vc142-mt-gd-x64-1_78.lib
libboost_filesystem-vc142-mt-gd-x64-1_78.lib
libboost_graph-vc142-mt-gd-x64-1_78.lib
libboost_graph_parallel-vc142-mt-gd-x64-1_78.lib
libboost_iostreams-vc142-mt-gd-x64-1_78.lib
libboost_json-vc142-mt-gd-x64-1_78.lib
libboost_locale-vc142-mt-gd-x64-1_78.lib
libboost_log-vc142-mt-gd-x64-1_78.lib
libboost_log_setup-vc142-mt-gd-x64-1_78.lib
libboost_math_c99-vc142-mt-gd-x64-1_78.lib
libboost_math_c99f-vc142-mt-gd-x64-1_78.lib
libboost_math_c99l-vc142-mt-gd-x64-1_78.lib
libboost_math_tr1-vc142-mt-gd-x64-1_78.lib
libboost_math_tr1f-vc142-mt-gd-x64-1_78.lib
libboost_math_tr1l-vc142-mt-gd-x64-1_78.lib
libboost_mpi-vc142-mt-gd-x64-1_78.lib
libboost_nowide-vc142-mt-gd-x64-1_78.lib
libboost_numpy38-vc142-mt-gd-x64-1_78.lib
libboost_prg_exec_monitor-vc142-mt-gd-x64-1_78.lib
libboost_program_options-vc142-mt-gd-x64-1_78.lib
libboost_python38-vc142-mt-gd-x64-1_78.lib
libboost_random-vc142-mt-gd-x64-1_78.lib
libboost_regex-vc142-mt-gd-x64-1_78.lib
libboost_serialization-vc142-mt-gd-x64-1_78.lib
libboost_system-vc142-mt-gd-x64-1_78.lib
libboost_test_exec_monitor-vc142-mt-gd-x64-1_78.lib
libboost_thread-vc142-mt-gd-x64-1_78.lib
libboost_timer-vc142-mt-gd-x64-1_78.lib
libboost_type_erasure-vc142-mt-gd-x64-1_78.lib
libboost_unit_test_framework-vc142-mt-gd-x64-1_78.lib
libboost_wave-vc142-mt-gd-x64-1_78.lib
libboost_wserialization-vc142-mt-gd-x64-1_78.lib
libboost_zlib-vc142-mt-gd-x64-1_78.lib
flann-gd.lib
flann_cpp-gd.lib
flann_cpp_s-gd.lib
flann_s-gd.lib
OpenNI2.lib
qhullcpp_d.lib
qhullstatic_d.lib
qhullstatic_rd.lib
qhull_rd.lib
vtkcgns-9.1d.lib
vtkChartsCore-9.1d.lib
vtkCommonColor-9.1d.lib
vtkCommonComputationalGeometry-9.1d.lib
vtkCommonCore-9.1d.lib
vtkCommonDataModel-9.1d.lib
vtkCommonExecutionModel-9.1d.lib
vtkCommonMath-9.1d.lib
vtkCommonMisc-9.1d.lib
vtkCommonSystem-9.1d.lib
vtkCommonTransforms-9.1d.lib
vtkDICOMParser-9.1d.lib
vtkDomainsChemistry-9.1d.lib
vtkDomainsChemistryOpenGL2-9.1d.lib
vtkdoubleconversion-9.1d.lib
vtkexodusII-9.1d.lib
vtkexpat-9.1d.lib
vtkFiltersAMR-9.1d.lib
vtkFiltersCore-9.1d.lib
vtkFiltersExtraction-9.1d.lib
vtkFiltersFlowPaths-9.1d.lib
vtkFiltersGeneral-9.1d.lib
vtkFiltersGeneric-9.1d.lib
vtkFiltersGeometry-9.1d.lib
vtkFiltersHybrid-9.1d.lib
vtkFiltersHyperTree-9.1d.lib
vtkFiltersImaging-9.1d.lib
vtkFiltersModeling-9.1d.lib
vtkFiltersParallel-9.1d.lib
vtkFiltersParallelImaging-9.1d.lib
vtkFiltersPoints-9.1d.lib
vtkFiltersProgrammable-9.1d.lib
vtkFiltersSelection-9.1d.lib
vtkFiltersSMP-9.1d.lib
vtkFiltersSources-9.1d.lib
vtkFiltersStatistics-9.1d.lib
vtkFiltersTexture-9.1d.lib
vtkFiltersTopology-9.1d.lib
vtkFiltersVerdict-9.1d.lib
vtkfmt-9.1d.lib
vtkfreetype-9.1d.lib
vtkGeovisCore-9.1d.lib
vtkgl2ps-9.1d.lib
vtkglew-9.1d.lib
vtkhdf5-9.1d.lib
vtkhdf5_hl-9.1d.lib
vtkImagingColor-9.1d.lib
vtkImagingCore-9.1d.lib
vtkImagingFourier-9.1d.lib
vtkImagingGeneral-9.1d.lib
vtkImagingHybrid-9.1d.lib
vtkImagingMath-9.1d.lib
vtkImagingMorphological-9.1d.lib
vtkImagingSources-9.1d.lib
vtkImagingStatistics-9.1d.lib
vtkImagingStencil-9.1d.lib
vtkInfovisCore-9.1d.lib
vtkInfovisLayout-9.1d.lib
vtkInteractionImage-9.1d.lib
vtkInteractionStyle-9.1d.lib
vtkInteractionWidgets-9.1d.lib
vtkIOAMR-9.1d.lib
vtkIOAsynchronous-9.1d.lib
vtkIOCGNSReader-9.1d.lib
vtkIOChemistry-9.1d.lib
vtkIOCityGML-9.1d.lib
vtkIOCONVERGECFD-9.1d.lib
vtkIOCore-9.1d.lib
vtkIOEnSight-9.1d.lib
vtkIOExodus-9.1d.lib
vtkIOExport-9.1d.lib
vtkIOExportGL2PS-9.1d.lib
vtkIOExportPDF-9.1d.lib
vtkIOGeometry-9.1d.lib
vtkIOHDF-9.1d.lib
vtkIOImage-9.1d.lib
vtkIOImport-9.1d.lib
vtkIOInfovis-9.1d.lib
vtkIOIOSS-9.1d.lib
vtkIOLegacy-9.1d.lib
vtkIOLSDyna-9.1d.lib
vtkIOMINC-9.1d.lib
vtkIOMotionFX-9.1d.lib
vtkIOMovie-9.1d.lib
vtkIONetCDF-9.1d.lib
vtkIOOggTheora-9.1d.lib
vtkIOParallel-9.1d.lib
vtkIOParallelXML-9.1d.lib
vtkIOPLY-9.1d.lib
vtkIOSegY-9.1d.lib
vtkIOSQL-9.1d.lib
vtkioss-9.1d.lib
vtkIOTecplotTable-9.1d.lib
vtkIOVeraOut-9.1d.lib
vtkIOVideo-9.1d.lib
vtkIOXML-9.1d.lib
vtkIOXMLParser-9.1d.lib
vtkjpeg-9.1d.lib
vtkjsoncpp-9.1d.lib
vtkkissfft-9.1d.lib
vtklibharu-9.1d.lib
vtklibproj-9.1d.lib
vtklibxml2-9.1d.lib
vtkloguru-9.1d.lib
vtklz4-9.1d.lib
vtklzma-9.1d.lib
vtkmetaio-9.1d.lib
vtknetcdf-9.1d.lib
vtkogg-9.1d.lib
vtkParallelCore-9.1d.lib
vtkParallelDIY-9.1d.lib
vtkpng-9.1d.lib
vtkpugixml-9.1d.lib
vtkRenderingAnnotation-9.1d.lib
vtkRenderingContext2D-9.1d.lib
vtkRenderingContextOpenGL2-9.1d.lib
vtkRenderingCore-9.1d.lib
vtkRenderingFreeType-9.1d.lib
vtkRenderingGL2PSOpenGL2-9.1d.lib
vtkRenderingImage-9.1d.lib
vtkRenderingLabel-9.1d.lib
vtkRenderingLOD-9.1d.lib
vtkRenderingOpenGL2-9.1d.lib
vtkRenderingSceneGraph-9.1d.lib
vtkRenderingUI-9.1d.lib
vtkRenderingVolume-9.1d.lib
vtkRenderingVolumeOpenGL2-9.1d.lib
vtkRenderingVtkJS-9.1d.lib
vtksqlite-9.1d.lib
vtksys-9.1d.lib
vtkTestingRendering-9.1d.lib
vtktheora-9.1d.lib
vtktiff-9.1d.lib
vtkverdict-9.1d.lib
vtkViewsContext2D-9.1d.lib
vtkViewsCore-9.1d.lib
vtkViewsInfovis-9.1d.lib
vtkWrappingTools-9.1d.lib
vtkzlib-9.1d.lib
- 设置预编译命令
_CRT_SECURE_NO_WARNINGS
- 设置环境
PATH=$(PCL_ROOT)\bin;$(PCL_ROOT)\3rdParty\FLANN\bin;$(PCL_ROOT)\3rdParty\VTK\bin;$(PCL_ROOT)\Qhull\bin;$(PCL_ROOT)\3rdParty\OpenNI2\Tools;$(PATH)
-
全部设置好之后,先点击“应用”,再点击“确定”
-
执行下方的
cpp
文件,注意上方的Debug
、x64
选对
#include <iostream>
#include <pcl/io/pcd_io.h>
#include <pcl/point_types.h>
int main(int argc, char** argv){
pcl::PointCloud<pcl::PointXYZ> cloud; // Fill in the cloud data
cloud.width = 5;
cloud.height = 1;
cloud.is_dense = false;
cloud.points.resize(cloud.width * cloud.height);
for (std::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);
}
pcl::io::savePCDFileASCII("test_pcd.pcd", cloud);
std::cerr << "Saved " << cloud.points.size() << " data points to test_pcd.pcd." << std::endl;
for (std::size_t i = 0; i < cloud.points.size(); ++i)
std::cerr << " " << cloud.points[i].x << " " << cloud.points[i].y << " " << cloud.points[i].z << std::endl;
return (0);
}
- 出现如下界面,表示 PCL 环境搭建全部完成