Скачать или смотреть Resolving the MinGW C+ + Compiler Can't Find OpenCV Error on Windows 10

Discover the simple solution to the `fatal error: opencv2\core\mat.hpp: No such file or directory` message when using MinGW to compile C+ + .
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Resolving the MinGW C+ + Compiler Can't Find OpenCV Error on Windows 10

If you're a budding C+ + developer working with OpenCV on Windows 10, encountering the error message:

[[See Video to Reveal this Text or Code Snippet]]

can be extremely frustrating. This is a common problem when the MinGW C+ + compiler can't locate the OpenCV header files, which are essential for your project to compile successfully. In this post, we'll break down the cause of this error and provide a straightforward solution to get your code running smoothly again.

Understanding the Problem

When compiling your C+ + files that utilize the OpenCV library, MinGW needs to be aware of where to find both the header files (includes) and the library files (libs). If those paths are not configured correctly, you will encounter compile-time errors like the one mentioned above.

Common Causes of the Error:

Missing or incorrect paths in the compiler command

OpenCV not installed properly on your system

Incorrect or conflicting versions of libraries being referenced

Solution Overview

The solution to this problem lies in adjusting your compilation command to explicitly tell MinGW where to find the OpenCV include files and library files using the -I and -L options.

Step-by-Step Solution

Locate Your OpenCV Installation Paths:
Before you can compile your code, ensure you know where OpenCV is installed on your system. Typical installation paths might be:

C:\OpenCV\opencv\build\include\ (for header files)

C:\OpenCV\opencv\build\x64\vc15\lib (for library files)

Update Your Compilation Command:
With the paths in hand, you need to modify your compile command as follows:

[[See Video to Reveal this Text or Code Snippet]]

-I: This option tells the compiler where to look for header files (includes).

-L: This option tells the compiler where to look for library files.

Run the Command:
Execute your modified command in the command line. Ensure you're in the directory containing your myfile.cpp when you run the command.

Check for Additional Libraries:
If your code uses additional OpenCV features, you may need to link specific libraries. For example, you might need to add flags like -lopencv_core -lopencv_highgui -lopencv_imgproc depending on your project's requirements.

Example Command:

Here is an example of a compiled command for a complete OpenCV project that includes linking the necessary libraries:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following these steps, you should be able to resolve the fatal error: opencv2\core\mat.hpp: No such file or directory and successfully compile your C+ + program using OpenCV with MinGW on Windows 10. Remember to check your paths carefully and ensure that your OpenCV installation is correct. Happy coding!