How to Install OpenCV on CentOS 7
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.
Step 1: Install dependencies for OpenCV
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
Step 2: Download the OpenCV 3.3.0 archive
Download and uncompress OpenCV 3.3.0 archive as below:
Step 3: Compile and install OpenCV 3.3.0
Use the following commands to compile and install OpenCV, and compiled OpenCV files will be saved in the
cmake -D CMAKE_BUILD_TYPE=DEBUG -D CMAKE_INSTALL_PREFIX=/usr/local ..
Step 4: Configure required variables
In addtion to compiling and installing files, you need to specify path info for pkgconfig and OpenCV:
echo '/usr/local/lib/' >> /etc/ld.so.conf.d/opencv.conf
Step 5 (optional): Run tests
To test your OpenCV installation, you can download extra test data from OpenCV extra repository:
git clone https://github.com/opencv/opencv_extra.git
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:
This concludes the tutorial. Thanks for reading.