Скачать или смотреть Solving OpenCV Build Errors with Intel Inference Engine

Encountering compilation issues with OpenCV and OpenVINO? This guide provides a detailed solution to fix build errors related to Intel's Inference Engine.
---
This video is based on the question https://stackoverflow.com/q/63700735/ asked by the user 'Bahramdun Adil' ( https://stackoverflow.com/u/1932557/ ) and on the answer https://stackoverflow.com/a/63706890/ provided by the user 'Bahramdun Adil' ( https://stackoverflow.com/u/1932557/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: OpenCV build error while compiling with IE (Inference Engine)

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Solving OpenCV Build Errors with Intel Inference Engine: A Step-by-Step Guide

If you're a developer working with computer vision and deep learning, you might have encountered issues while compiling OpenCV with the Intel Inference Engine. In this guide, we're going to help you troubleshoot and resolve these frustrating build errors effectively.

The Problem

Recently, when trying to build an OpenCV project using CMake on a Windows 10 system, developers have been running into build errors with Visual Studio 2019. Notably, several projects fail to compile due to missing files, specifically the .lib files such as opencv_dnn440.lib and opencv_tracking440.lib. Here’s a brief overview of the error log:

The error log indicates multiple LINK : fatal error LNK1181 messages stating that certain .lib files cannot be opened.

The error also includes warnings regarding character encoding, signaling that there might be issues saving files in the correct format.

This situation leaves many developers puzzled, especially when they have been able to build OpenCV successfully in previous versions.

The Solution

Configuring CMake with the ngraph Flag

The good news is that this build error can typically be remedied with a few adjustments in the CMake configuration. Below is a detailed guide on how to do this:

Open CMake GUI: Launch the CMake GUI application on your system.

Set the Source and Build Directory: Enter the path to your OpenCV source code in the “Where is the source code” field. Then set the “Where to build the binaries” to a suitable build directory.

Configure CMake:

Click the "Configure" button and select your generator, which is most likely set to Visual Studio 2019.

Once the configuration is done, look for options in the CMake settings.

Enable the ngraph Flag:

Make sure to find and select the ngraph flag from the CMake options. This flag is important for linking with the Intel Inference Engine correctly.

You might need to specify the path to the ngraph CMake files if it’s not automatically detected.

Check Dependency Locations: Ensure that all required libraries—including OpenVINO ones—are correctly set up and accessible in the specified directories. If any additional CMake parameters are needed for linking OpenVINO correctly, include those as well.

Complete Configuration: Click “Finish” to complete the configuration process. After finishing, click the “Generate” button to create the necessary project files.

Build the Project: Open the generated project in Visual Studio and attempt to build your project again. This time, the error should be resolved if the configurations were set correctly.

Additional Tips

Verify Path: Double-check that all library paths specified in CMake are accurate and that the libraries exist within those directories.

Update Dependencies: Ensure that you have the latest versions of both OpenCV and OpenVINO. Compatibility issues can sometimes lead to such errors.

Consult OpenCV Community: If issues persist, don't hesitate to seek help from forums or communities dedicated to OpenCV and OpenVINO, as many experienced developers are willing to assist.

Conclusion

Building OpenCV with Intel's Inference Engine can lead to challenges, especially with new versions and configurations. By properly configuring CMake with the ngraph flag, you can solve the build issue and get back to developing your computer vision applications efficiently. If you need further assistance, share your error logs, and the community will likely offer support!

Feel free to leave a comment if you have any questions, or if you managed to solve the problem on your own. Happy coding!