Using openCV 3.2.0 with CodeBlocks
- 1. Using openCV 3.2.0 with CodeBlocks David Hsu
- 2. Download the installers • openCV 3.2.0 (opencv-3.2.0-vc14.exe) http://opencv.org/downloads.html • tdm-gcc (tdm64-gcc-5.1.0-2.exe) http://tdm-gcc.tdragon.net/download • CodeBlocks (codeblocks-16.01-setup.exe) http://www.codeblocks.org/downloads/26 • CMake (cmake-3.7.1-win64-x64.msi) https://cmake.org/download/
- 3. Get openCV • http://opencv.org/downloads.html • opencv-3.2.0-vc14.exe
- 4. Extract opencv320 under C: • Extract to C: • Extracting…
- 5. Create a new folder under C:opencv • New a folder “build_codeblocks” under C:opencv
- 6. Get tdm-gcc • http://tdm-gcc.tdragon.net/download • tdm64-gcc-5.1.0-2.exe
- 7. Install tdm-gcc • Create a new TDM-GCC installation • Create a MinGW-w64-based installation • Next> ….
- 8. Get CodeBlocks • http://www.codeblocks.org/downloads/26 • codeblocks-16.01-setup.exe (go without mingw)
- 9. Open CodeBlocks • Settings -> Compiler-… :
- 10. In CodeBlocks • Select “Toolchain executables” • Check Compiler’s installation directory : C:TDM-GCC-64
- 11. If can’t find compiler executable • Click “Reset defaults” • Click OK for the Message of “Auto-detected to C:TDM-GCC-64”
- 12. Get CMake • https://cmake.org/download/ • cmake-3.7.1-win64-x64.msi or cmake-3.7.1-win32-x86.msi
- 13. Install CMake • Next …
- 14. Open CMake (cmake-gui) • Browse Source to “C:/opencv/sources” • Browse Build to “C:/opencv/build_codeblocks” • Click “Configure”
- 15. Specify the generator • Choose the generator : CodeBlocks-MinGW Makefiles • Check “Use default native compilers” • Click “Finish”
- 16. BUILD_opencv_world • Once configuring done, scroll down and search for BUILD_opencv_world. Make the option checked. • Configure again
- 17. Generate • Configuring done Generate Generating done
- 18. OpenCV.cbp • Go to “C:opencvbuild_codeblocks” and open “OpenCV.cbp”
- 19. Build • Build the OpenCV project
- 20. Build • Build finished without any error (It may take a while)
- 21. Retarget the build to install • Build Select target install
- 22. Build again •
- 23. Build again • Build without errors
- 24. Select opencv and opencv2 • Copy from “C:opencvbuild_codeblocksinstallinclude” • Paste to “C:TDM-GCC-64x86_64-w64-mingw32include”
- 25. Select libopencv_world320.dll.a • Copy from “C:opencvbuild_codeblocksinstallx64mingwlib” • Paste to “C:TDM-GCC-64x86_64-w64-mingw32lib’’
- 26. Select all • Copy from “C:opencvbuild_codeblocksinstallx64mingwbin” • Paste to “C:TDM-GCC-64bin”
- 27. Create a new project in CodeBlocks • File new Project… • Choose “Console application”
- 28. Project – C++ • Choose “C++”
- 29. Project – name and save to… • Name the project • Determine the directory where the project will be saved to
- 30. Project – GNU GCC Compiler • Check the compiler
- 31. Codes in main.cpp #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <iostream> using namespace cv; using namespace std; int main() { Mat image1, image2; image1 = imread("lena.bmp", CV_LOAD_IMAGE_COLOR); // Read the file if (!image1.data) // Check for invalid input { cout << "Could not open or find the image" << std::endl; return -1; } image2 = imread("lena.bmp", CV_LOAD_IMAGE_GRAYSCALE); // Read the file if (!image2.data) // Check for invalid input { cout << "Could not open or find the image" << std::endl; return -1; } cout<<"opencv test"<<endl; namedWindow("Color Image", WINDOW_AUTOSIZE);// Create a window for display. imshow("Color Image", image1); // Show our image inside it. namedWindow("Gray Scale Image", WINDOW_AUTOSIZE);// Create a window for display. imshow("Gray Scale Image", image2); // Show our image inside it. waitKey(0); // Wait for a keystroke in the window destroyAllWindows(); return 0; }
- 32. main.cpp
- 33. Build options • Right click the project and choose “Build options…”
- 34. Linker settings • Linker settings • Add
- 35. opencv_world320 • Add library : opencv_world320
- 36. opencv_world320 • Make sure opencv_world320 has been added to Link libraries
- 37. lena.bmp • Put the resource file “lena.bmp” under the same directory of main.cpp
- 38. Build and run • Build and run the cvTest project
- 39. Image show
- 40. • Congrats and enjoy programming with openCV