Add new OpenCV-Module into an existing project in Visual studio

To add a new OpenCV module into an existing project in Visual Studio, follow these steps:

1. Download and Build OpenCV:
   First, you need to have the OpenCV libraries built and ready to use. If you haven't done this already, you can download the OpenCV source code from the official repository and follow the instructions to build it using CMake and Visual Studio.

2. Add Include and Library Paths:
   Once you have the OpenCV libraries built, you need to add the necessary include and library paths to your existing Visual Studio project.

   a. Right-click on your project in the Solution Explorer and select "Properties."
   b. In the "Configuration Properties" section, navigate to "VC++ Directories."
   c. Add the path to the OpenCV "include" directory to the "Include Directories" field.
   d. Add the path to the OpenCV "lib" directory (where the compiled libraries are located) to the "Library Directories" field.

3. Link to OpenCV Libraries:
   After adding the include and library paths, you need to link your project to the OpenCV libraries.

   a. In the "Properties" window, go to "Configuration Properties" > "Linker" > "Input."
   b. Add the names of the OpenCV libraries you want to use (e.g., opencv_core410.lib, opencv_highgui410.lib) to the "Additional Dependencies" field.

4. Use OpenCV Functions:
   Now that your project is set up to use OpenCV, you can include the appropriate OpenCV headers in your source code files and use OpenCV functions as needed.

   cppCopy code
   #include <opencv2/opencv.hpp>
   
   using namespace cv;
   
   
   
   int main() {
   
       Mat image = imread("image.jpg", IMREAD_COLOR);
   
       if (!image.empty()) {
   
           imshow("Image", image);
   
           waitKey(0);
   
       }
   
       return 0;
   
   }
   
   

5. Build and Run:
   Save your project, build it, and then run it. If everything is set up correctly, your project should now use the OpenCV library functions.

Remember that the steps provided are general guidelines and can vary based on the version of OpenCV you are using, the structure of your project, and any specific configurations you may have. Make sure to adapt the instructions to your project's needs.