Installation environment: ubuntu18.04
opencv包：opencv-3.4.15
1. Make sure your ubuntu can be connected to the Internet
If most of them are not linux systems such as ubuntu at the beginning, they may originally support windows, but after changing to linux, the wifi module will not support it, causing great trouble to the configuration environment, especially some microcomputers.
2. Preparations before configuring the environment (ubuntu source file configuration)
This is Tsinghua University’s mirror use help station. Open the path /etc/apt/sources.list according to your own system , and make a backup of the file that comes with the system according to the version, and replace the file with the following content. If If there is nothing in it, just add it directly.
https://mirrors.tuna.tsinghua.edu.cn/help/ubuntu/
3. Enter root mode
If there is no root password, it is best to set one;
sudo passwd
After changing the password;
sudo -i
Enter the password to enter the root mode ( if you do not enter root in the command below, you need to add sudo, if you enter, you don’t need to add it, it’s okay ).
update package
sudo apt-get update
sudo apt-get upgrade
4. Install dependent packages
GCC 4.4.x or later
CMake 2.8.7 or higher
Git GTK+2.x or higher,
including headers (libgtk2.0-dev)
pkg-config
Python 2.6 or later and Numpy 1.5 or later with developer packages (python-dev, python-numpy)
ffmpeg or libav development packages: libavcodec-dev, libavformat-dev,libswscale-dev
[optional] libtbb2 libtbb-dev
[optional] libdc1394 2.x
[optional] libjpeg-dev, libpng-dev, libtiff-dev, libjasper-dev,
libdc1394-22-dev
[optional] CUDA Toolkit 6.5 or higher
The dependent packages here are recommended to be installed one by one, otherwise you will not know which dependent package is the problem if something goes wrong;
1 sudo apt-get install build-essential
2 sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
3 sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
There will inevitably be problems during the download process here, and Baidu can solve them one by one. Generally, there will be no problems after changing the source.
5. Download the opencv package
https://github.com/opencv/opencv/releases
Some friends may not know which one to download, click here according to the guidance in the figure below;
PS: Here is a suggestion to unzip it on the computer after downloading the zip package Then transfer to ubuntu, it is too slow to decompress on a linux computer (except for some configurations).
If you want to pretend, you can cd into the directory and enter the following command:
sudo unzip opencv-3.4.1.zip
6. Configure cmake to install opencv
Create a build folder after entering the opencv decompressed directory.
1 cd opencv-3.4.1
2 mkdir build
3 cd build
Use cmake to generate makefiles
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_GTK=ON -D OPENCV_GENERATE_PKGCONFIG=YES
compile
make -j$(nproc)
install make
sudo make install
PS: If you need to restart cmake, please clear the files in the build directory first, and then restart cmake
7. Environment configuration
Configure the ld.so.conf file, the path is generally in /etc/ld.so.conf , because it was in the root state before, enter the following command under the path:
gedit ld.so.conf
Add a line include /usr/loacal/lib to the file. This path is the dynamic library installation path filled in during cmake compilation plus /lib. After configuring, save
and close, execute the following command to make the configured path take effect
sudo ldconfig
Configure system bash. When cmake, choose to automatically generate the pkgconfig file of OpenCV. You can see the file in the /usr/local/lib/pkgconfig path. The name should be opencv.PC Enter the following command to open the file after entering the path
gedit opencv.PC
add at the end
PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
export PKG_CONFIG_PATH
Save and exit, then execute the following command to make the configuration take effect
source /etc/bash.bashrc
Enter the following command to determine whether the installation is successful, and the version number will appear
pkg-config --modversion opencv
8. Test
Just test the examples in the opencv directory. (cpp)
The specific test method first enters the project folder (that is, the folder with cpp)
make
./项目名称