单独编译PCL的kdtree模块报错“undefined reference to”

Posted 2021-03-11 gdut-gordon

我打算使用gdb调试pcl的kdtree教程（kdtree_search.cpp）。由于pcl经过预编译，将kdtree模块编译成动态链接库。使用gdb无法进入动态链接库进行调试！

因此将kdtree模块（主要为kdtree_flann.h和kdtree_flann.hpp）的相关代码抽取出来，单独编译。代码包的树状图如下所示，

 

 

 上图可见，kdtree模块的依赖了这么多文件，可见pcl的代码抽象程度，重用性做得非常好。

 

 附上CMakeLists.txt，

cmake_minimum_required(VERSION 2.8.3)
project(kdtree_learn)

set(CMAKE_BUILD_TYPE "DEBUG")

add_definitions(-std=c++11)

find_package(PkgConfig REQUIRED)
pkg_check_modules(FLANN REQUIRED)

include_directories(
    "/usr/include/eigen3"
    "/home/gordon/kdtree_learn/include/"
    )

add_executable(${PROJECT_NAME} kdtree_search.cpp)

 

运行make进行编译，报错如下，

CMakeFiles/kdtree_learn.dir/kdtree_search.cpp.o: In function `main‘:
/home/gordon/kdtree_learn/kdtree_search.cpp:27: undefined reference to `pcl::KdTreeFLANN<pcl::PointXYZ, flann::L2_Simple<float> >::KdTreeFLANN(bool)‘
/home/gordon/kdtree_learn/kdtree_search.cpp:29: undefined reference to `pcl::KdTreeFLANN<pcl::PointXYZ, flann::L2_Simple<float> >::setInputCloud(boost::shared_ptr<pcl::PointCloud<pcl::PointXYZ> const> const&, boost::shared_ptr<std::vector<int, std::allocator<int> > const> const&)‘
/home/gordon/kdtree_learn/kdtree_search.cpp:49: undefined reference to `pcl::KdTreeFLANN<pcl::PointXYZ, flann::L2_Simple<float> >::nearestKSearch(pcl::PointXYZ const&, int, std::vector<int, std::allocator<int> >&, std::vector<float, std::allocator<float> >&) const‘
/home/gordon/kdtree_learn/kdtree_search.cpp:71: undefined reference to `pcl::KdTreeFLANN<pcl::PointXYZ, flann::L2_Simple<float> >::radiusSearch(pcl::PointXYZ const&, double, std::vector<int, std::allocator<int> >&, std::vector<float, std::allocator<float> >&, unsigned int) const‘
CMakeFiles/kdtree_learn.dir/kdtree_search.cpp.o: In function `pcl::KdTreeFLANN<pcl::PointXYZ, flann::L2_Simple<float> >::~KdTreeFLANN()‘:
/home/gordon/kdtree_learn/include/pcl/kdtree/kdtree_flann.h:140: undefined reference to `pcl::KdTreeFLANN<pcl::PointXYZ, flann::L2_Simple<float> >::cleanup()‘
CMakeFiles/kdtree_learn.dir/kdtree_search.cpp.o:(.rodata._ZTVN3pcl11KdTreeFLANNINS_8PointXYZEN5flann9L2_SimpleIfEEEE[_ZTVN3pcl11KdTreeFLANNINS_8PointXYZEN5flann9L2_SimpleIfEEEE]+0x10): undefined reference to `pcl::KdTreeFLANN<pcl::PointXYZ, flann::L2_Simple<float> >::setInputCloud(boost::shared_ptr<pcl::PointCloud<pcl::PointXYZ> const> const&, boost::shared_ptr<std::vector<int, std::allocator<int> > const> const&)‘
CMakeFiles/kdtree_learn.dir/kdtree_search.cpp.o:(.rodata._ZTVN3pcl11KdTreeFLANNINS_8PointXYZEN5flann9L2_SimpleIfEEEE[_ZTVN3pcl11KdTreeFLANNINS_8PointXYZEN5flann9L2_SimpleIfEEEE]+0x28): undefined reference to `pcl::KdTreeFLANN<pcl::PointXYZ, flann::L2_Simple<float> >::nearestKSearch(pcl::PointXYZ const&, int, std::vector<int, std::allocator<int> >&, std::vector<float, std::allocator<float> >&) const‘
CMakeFiles/kdtree_learn.dir/kdtree_search.cpp.o:(.rodata._ZTVN3pcl11KdTreeFLANNINS_8PointXYZEN5flann9L2_SimpleIfEEEE[_ZTVN3pcl11KdTreeFLANNINS_8PointXYZEN5flann9L2_SimpleIfEEEE]+0x40): undefined reference to `pcl::KdTreeFLANN<pcl::PointXYZ, flann::L2_Simple<float> >::radiusSearch(pcl::PointXYZ const&, double, std::vector<int, std::allocator<int> >&, std::vector<float, std::allocator<float> >&, unsigned int) const‘
CMakeFiles/kdtree_learn.dir/kdtree_search.cpp.o:(.rodata._ZTVN3pcl11KdTreeFLANNINS_8PointXYZEN5flann9L2_SimpleIfEEEE[_ZTVN3pcl11KdTreeFLANNINS_8PointXYZEN5flann9L2_SimpleIfEEEE]+0x58): undefined reference to `pcl::KdTreeFLANN<pcl::PointXYZ, flann::L2_Simple<float> >::setEpsilon(float)‘
collect2: error: ld returned 1 exit status

 

这个报错最头疼的地方在于，明明所有文件都已到齐，然而就是 undefined reference to ‘......‘。

经过一番排查，发现问题出在  kdtree_flann.h 中的一小段预编译代码，

#ifdef PCL_NO_PRECOMPILE
#include <pcl/kdtree/impl/kdtree_flann.hpp>
#endif

 

它的意思是：如果定义了宏，则表示这份代码不进行预编译，那么要添加 kdtree_flann.hpp 。

kdtree_flann.h 声明了 KdTreeFLANN 类，kdtree_flann.hpp 定义了类内的成员实现。

 

由于我把这部分代码抽离出来单独编译，也即是没有预编译，所以没有添加特定路径下的 kdtree_flann.hpp ，进而出现上述报错。

 

解决方案：

在 kdtree_flann.h 中添加  #define PCL_NO_PRECOMPILE  。搞定！