以下是ubuntu系统安装完成一些库后，验证查看各个库的安装情况。
1. CUDA8.0
yuanlibin@yuanlibin:~$ nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005 - 2016 NVIDIA Corporation Built on Sun_Sep__4_22: 14 :01_CDT_2016 Cuda compilation tools, release 8.0 , V8. 0.44
cuda no的情况显示如下
yuanlibin@yuanlibin:~$ nvcc -V The program ' nvcc ' is currently not installed. You can install it by typing: sudo apt - get install nvidia-cuda- toolkit yuanlibin@yuanlibin: ~$
注意：可能会出现以下情况，当安装完成cuda-9.2时，使用nvcc -V查看结果如下：
yuanlibin@yuanlibin:~$ nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Tue_Jun_12_23:07:04_CDT_2018 Cuda compilation tools, release 9.2, V9.2.148 yuanlibin@yuanlibin:~$
但是在cmake工程中的CMakeLists.txt文件中
find_package(CUDA REQUIRED) message (STATUS "${CUDA_VERSION}")
显示是cuda版本是7.5。版本出现不一致问题，解决方法如下：
参考https://zhuanlan.zhihu.com/p/48641682 第６条
进入/usr/bin/nvcc，而实际上nvcc是应该在/usr/local/cuda/bin/nvcc。
所以，sudo gedit /usr/bin/nvcc，把里面的内容"exec /usr/lib/nvidia-cuda-toolkit/bin/nvcc" 改成"exec /usr/local/cuda/bin/nvcc"
问题解决，cmake检测到9.2版本的cuda。
查看显卡型号：
查看显卡型号：lspci |grep VGA （lspci是linux查看硬件信息的命令），屏幕会打印出主机的集显几独显信息
查看nvidia芯片信息：lspci |grep -i nvidia，会打印出nvidia系列的硬件信息，如果主机安装了没有视频输出的GPU（如tesla系列），这个命令会很有用。
yuanlb@yuanlb:~$ lspci |grep VGA 00:02.0 VGA compatible controller: Intel Corporation UHD Graphics 620 (rev 07) yuanlb@yuanlb:~$ lspci |grep -i nvidia yuanlb@yuanlb:~$
查看GPU及其驱动版本
查看GPU型号：
lspci | grep -i nvidia
查看NVIDIA驱动版本：
sudo dpkg --list | grep nvidia-*
tim@Tim:~$ nvidia-smi NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. tim@Tim:~$
yuanlibin@yuanlibin:~$ ls /dev/nvidia* /dev/nvidia0 /dev/nvidia-modeset /dev/nvidia-uvm-tools /dev/nvidiactl /dev/nvidia-uvm yuanlibin@yuanlibin:~$
yuanlibin@yuanlibin:~$ cat /proc/driver/nvidia/version NVRM version: NVIDIA UNIX x86_64 Kernel Module 367.57 Mon Oct 3 20 : 37 : 01 PDT 2016 GCC version: gcc version 4.8 . 4 (Ubuntu 4.8 . 4 -2ubuntu1~ 14.04 . 3 ) yuanlibin@yuanlibin: ~$
2. OpenGL
glxinfo | grep OpenGL
yuanlibin@yuanlibin:~/libfreenect2/build$ glxinfo | grep OpenGL OpenGL vendor string : NVIDIA Corporation OpenGL renderer string : GeForce GTX 1060 6GB/PCIe/ SSE2 OpenGL core profile version string : 4.3 . 0 NVIDIA 375.20 OpenGL core profile shading language version string : 4.30 NVIDIA via Cg compiler OpenGL core profile context flags: (none) OpenGL core profile profile mask: core profile OpenGL core profile extensions: OpenGL version string : 4.5 . 0 NVIDIA 375.20 OpenGL shading language version string : 4.50 NVIDIA OpenGL context flags: (none) OpenGL profile mask: (none) OpenGL extensions: yuanlibin@yuanlibin: ~/libfreenect2/build$
3. OpenCL（对NVIDIA的显卡来说，cuda安装完毕后OpenCL的环境自然就安装好了）
clinfo
4. ROS版本
If you are ever having problems finding or using your ROS packages make sure that you have your environment properly setup. A good way to check is to ensure that environment variables like ROS_ROOT and ROS_PACKAGE_PATH are set:
yuanlibin@yuanlibin:~$ printenv | grep ROS ROS_ROOT =/opt/ros/indigo/share/ ros ROS_PACKAGE_PATH =/opt/ros/indigo/share:/opt/ros/indigo/stacks:/home/yuanlibin/ORBSLAM2_with_pointcloud_map/ORB_SLAM2_modified/Examples/ ROS ROS_MASTER_URI =http: // localhost:11311 ROSLISP_PACKAGE_DIRECTORIES= ROS_DISTRO = indigo ROS_ETC_DIR =/opt/ros/indigo/etc/ ros yuanlibin@yuanlibin: ~$
5. gcc
yuanlibin@yuanlibin:~$ gcc --version gcc (Ubuntu 4.8.4-2ubuntu1~14.04.3) 4.8.4 Copyright (C) 2013 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. yuanlibin@yuanlibin:~$
6. 查询Ubuntu版本号
yuanlibin@yuanlibin:~$ sudo lsb_release -a [sudo] password for yuanlibin: No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 14.04 . 5 LTS Release: 14.04 Codename: trusty yuanlibin@yuanlibin: ~$
yuanlibin@yuanlibin:~$ sudo lsb_release -a No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 16.04.5 LTS Release: 16.04 Codename: xenial yuanlibin@yuanlibin:~$
7. OpenCV
yuanlibin@yuanlibin:~$ pkg-config -- modversion opencv 2.4 . 9 yuanlibin@yuanlibin: ~$
pkg-config --cflags opencv pkg-config --libs opencv
8. ROS版本
先打开一个终端输入
roscore
然后打开另一个终端输入
yuanlibin@yuanlibin:~ $ rosparam list / rosdistro /roslaunch/uris/ host_yuanlibin__46870 / rosversion / run_id yuanlibin@yuanlibin: ~$ rosparam get / rosdistro ' indigo ' yuanlibin@yuanlibin: ~$
9. cmake
yuanlibin@ubuntu-Tim:~$ cmake -- version cmake version 3.0 . 2 CMake suite maintained and supported by Kitware (kitware.com / cmake). yuanlibin@ubuntu -Tim:~$
10. Qt
yuanlibin@yuanlibin:~/cloudcompare$ qmake - version QMake version 3.0 Using Qt version 5.2 . 1 in /usr/lib/x86_64-linux- gnu yuanlibin@yuanlibin: ~/cloudcompare$
11. g++
yuanlibin@yuanlibin:~$ g++ - v Using built - in specs. COLLECT_GCC =g++ COLLECT_LTO_WRAPPER =/usr/lib/gcc/x86_64-linux-gnu/ 4.8 /lto- wrapper Target: x86_64 -linux- gnu Configured with: ../src/configure -v --with-pkgversion='Ubuntu 4.8.4-2ubuntu1~14.04.3' --with-bugurl=file:///usr/share/doc/gcc-4.8/README.Bugs --enable-languages=c,c++,java,go,d,fortran,objc,obj-c++ --prefix=/usr --program-suffix=-4.8 --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --with-gxx-include-dir=/usr/include/c++/4.8 --libdir=/usr/lib --enable-nls --with-sysroot=/ --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-gnu-unique-object --disable-libmudflap --enable-plugin --with-system-zlib --disable-browser-plugin --enable-java-awt=gtk --enable-gtk-cairo --with-java-home=/usr/lib/jvm/java-1.5.0-gcj-4.8-amd64/jre --enable-java-home --with-jvm-root-dir=/usr/lib/jvm/java-1.5.0-gcj-4.8-amd64 --with-jvm-jar-dir=/usr/lib/jvm-exports/java-1.5.0-gcj-4.8-amd64 --with-arch-directory=amd64 --with-ecj-jar=/usr/share/java/eclipse-ecj.jar --enable-objc-gc --enable-multiarch --disable-werror --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --with-tune=generic --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu Thread model: posix gcc version 4.8 . 4 (Ubuntu 4.8 . 4 -2ubuntu1~ 14.04 . 3 ) yuanlibin@yuanlibin: ~$
12.查看内核版本
yuanlibin@yuanlibin:~$ uname -r 4.8.0-36-generic yuanlibin@yuanlibin:~$
13.查看mac地址
sudo lshw -C network //或者 sudo lshw -C network | grep serial
14.python版本切换
默认版本一般为python2.7，将其切换到python3.5。
先将/usr/bin/python删除，然后将/usr/bin/python3.5复制到/usr/bin/python；想要切换回来即将/usr/bin/python2.7复制过来即可。
sudo rm /usr/bin/python sudo cp /usr/bin/python3.5 /usr/bin/python
查看当前版本：
yuanlb@yuanlb:~$ python
Python 3.5.2 (default, Nov 12 2018, 13:43:14)
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
15.pcl库的版本
yuanlb@yuanlb:~$ sudo apt-get install libpcl-dev
[sudo] password for yuanlb:
Reading package lists... Done
Building dependency tree
Reading state information... Done
libpcl-dev is already the newest version (1.7.2-14build1).
libpcl-dev set to manually installed.
The following package was automatically installed and is no longer required:
snapd-login-service
Use 'sudo apt autoremove' to remove it.
0 upgraded, 0 newly installed, 0 to remove and 296 not upgraded.
yuanlb@yuanlb:~$
16. 查找系统中有没某一库文件
vio@vio:~/boteye_ros/build$ sudo find / -name " libopencv_core.so.3.1* " /usr/lib/x86_64-linux-gnu/libopencv_core.so. 3.1 . 0 /usr/lib/x86_64-linux- gnu/libopencv_core.so. 3.1 find: ' /run/user/ 1000 / gvfs': Permission denied vio@vio: ~/boteye_ros/build$
持续更新中……