Ubuntu验证查看库的安装情况

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) - NVIDIA Corporation
Built on Tue_Jun_12_23::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
:02.0 VGA compatible controller: Intel Corporation UHD Graphics  (rev )
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.-2ubuntu1~14.04.) 4.8.
Copyright (C)  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. 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.--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. /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 .
/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……