OpenCV, also known as Open Source Computer Vision Library, is an open source cross-platform computer vision algorithm library. Nowadays, OpenCV is being widely used in all kind of visual processing areas, such as facial recognition, gesture recognition, human-computer interaction, Object identification, motion tracking, etc.
OpenCV can be deployed on various platforms, including Windows, Linux, Android, iOS, etc. In this article, I will show you how to compile and install OpenCV 3.3.0, the latest stable release of OpenCV at the time I wrote this article, on the CentOS 7 x64 operating system.
A Vultr CentOS 7 x64 server instance.
Logging in as
The server instance has been updated to the latest stable status.
Use the following commands to install all required dependencies for compiling OpenCV:
yum groupinstall "Development Tools" -y yum install cmake gcc gtk2-devel numpy pkconfig -y
Download and uncompress OpenCV 3.3.0 archive as below:
cd wget https://github.com/opencv/opencv/archive/3.3.0.zip unzip 3.3.0.zip
Use the following commands to compile and install OpenCV, and compiled OpenCV files will be saved in the
cd opencv-3.3.0 mkdir build cd build cmake -D CMAKE_BUILD_TYPE=DEBUG -D CMAKE_INSTALL_PREFIX=/usr/local .. make make install
In addtion to compiling and installing files, you need to specify path info for pkgconfig and OpenCV:
export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig/ echo '/usr/local/lib/' >> /etc/ld.so.conf.d/opencv.conf ldconfig
To test your OpenCV installation, you can download extra test data from OpenCV extra repository:
cd git clone https://github.com/opencv/opencv_extra.git export OPENCV_TEST_DATA_PATH=/root/opencv_extra/testdata
In the cmake build directory, you will find several test executables named in the same kind of format
opencv_test_*. Run any one you are interested in to perform a test. For example:
cd /root/opencv-3.3.0/build/bin ls ./opencv_test_photo
This concludes the tutorial. Thanks for reading.