use OpenCV with Clion IDE on Windows

First of all, you need CMake.
Then you need a compiler of your choise (MinGW, Visual Studio, ...).

  1. Download the OpenCV source files. Link
  2. Unpack to C:\opencv (or a folder of your choice)
  3. Open CMake and select source (directory of 2.) and build for example C:\opencv\mingw-build or C:\opencv\vs-x64-build. Choose one accoring your configuration.
  4. Click Configure and select the generator according to you compiler. MinGW Makefiles in case of MingGW or Visual Studio ... if you are using Visual Studio and so on ...
    (If you experience problems with MinGW, ensure that the minGW/bin directory is added to the evironment path labelled, 'PATH')
  5. Wait for the configuration to be done, edit your properties of your needs (in my case I don't need tests, docs and python).
    enter image description here Click Configure again. When everything is white click Generate else edit the red fields.
  6. Open cmd and dir to build directory of 3.
    If you chose Visual Studio open the generated solution.
  7. Compile the library. Run mingw32-make (or mingw64-make) or build the BUILD_ALL project from the generated solution in Visual Studio if your choosen compiler is MSVC.
    This takes a while. enter image description here
  8. Once it is done, run mingw32-make install (or mingw64-make install). If you've choosen Visual Studio you need to build the INSTALL project.
    This creates an install folder, where everything you need for building your own OpenCV apps is included.
  9. To system PATH add C:\opencv\mingw-build\install\x86\mingw\bin
    Restart your PC.
  10. Set up CLion:
    • You need to download FindOpenCV.cmake and add it to project-root/cmake/.

CMakeLists.txt:

project(test)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11")

# Where to find CMake modules and OpenCV
set(OpenCV_DIR "C:\\opencv\\mingw-build\\install")
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_SOURCE_DIR}/cmake/")

find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})

add_executable(test_cv main.cpp)

# add libs you need
set(OpenCV_LIBS opencv_core opencv_imgproc opencv_highgui opencv_imgcodecs) 

# linking
target_link_libraries(test_cv ${OpenCV_LIBS})

main.cpp:

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>

int main(int argc, char** argv)
{
    if(argc != 2)
    {
        std::cout << "Usage: display_image ImageToLoadAndDisplay" << std::endl;
        return -1;
    }

    cv::Mat frame;
    frame = cv::imread(argv[1], IMREAD_COLOR); // Read the file

    if(!frame) // Check for invalid input
    {
        std::cout << "Could not open or find the frame" << std::endl;
        return -1;
    }

    cv::namedWindow("Window", WINDOW_AUTOSIZE); // Create a window for display.
    cv::imshow("Window", frame); // Show our image inside it.

    cv::waitKey(0); // Wait for a keystroke in the window
    return 0;
}

Build and run main.cpp.

All Paths depend on the setup you make in 2. and 3. You can change them if you like.

UPDATE 1: I updated the post for using a compiler of you choice.

SUGGESTION: Using a package manager like Conan makes life much easier.


I just want to add one more thing in the answer of daB0bby. Few Min-GW Compilers do not support C++ Version 11 or later. This version is required for thread in OpenCV. So I will suggest using TDM-GCC Compiler instead of MinGW Compiler. Install this compiler and set path C:\TDM-GCC-64\bin to the system's environmental variable.