--- title: OpenCV + MinGW + VS Code Setup on Windows description: Setting up OpenCV with MinGW in VS Code on Windows can be challenging, but this step-by-step guide simplifies the process for developers. image: https://www.deepblock.net/hubfs/ig_686cc4f4c1b481998d978b3c518398a70954e5d0a30042f9.png --- [![deepblock_logo_full2](https://www.deepblock.net/hubfs/deepblock_logo_full2.png)](https://www.deepblock.net?hsLang=en) ![menu](https://f.hubspotusercontent40.net/hubfs/7479797/menu.png) ![close_24px](https://7479797.fs1.hubspotusercontent-na1.net/hubfs/7479797/close_24px.svg) - [Product](https://www.deepblock.net/product) Show submenu for Product - [Manual](https://www.deepblock.net/product/manual) - [How To Use](https://www.deepblock.net/product/how-to-use-deep-block) - [Pricing](https://www.deepblock.net/product/pricing) - [Remote Sensing](https://www.deepblock.net/remote-sensing) Show submenu for Remote Sensing - [Surveillance & IMINT](https://www.deepblock.net/remote-sensing/defense-surveillance) - [Precision Agriculture](https://www.deepblock.net/remote-sensing/precision-agriculture) - [Microscopy](https://www.deepblock.net/microscopy) Show submenu for Microscopy - [Semiconductor & MEMS](https://www.deepblock.net/microscopy/semiconductor) - [Life Science & Medicine](https://www.deepblock.net/microscopy/life-science-and-medicine) - [Resources](https://www.deepblock.net/resources) Show submenu for Resources - [Case Studies](https://www.deepblock.net/resources/case-studies) - [Computer Vision for High-Resolution](https://www.deepblock.net/resources/challenges-high-resolution-imagery-ml-solution) - [Why Deep Block?](https://www.deepblock.net/resources/why-deep-block) - [E-Books](https://www.deepblock.net/ebooks) - [About Us](https://www.deepblock.net/about-us) - [Blog](https://www.deepblock.net/blog) - [Product](https://www.deepblock.net/product) Show submenu for Product - [Manual](https://www.deepblock.net/product/manual) - [How To Use](https://www.deepblock.net/product/how-to-use-deep-block) - [Pricing](https://www.deepblock.net/product/pricing) - [Remote Sensing](https://www.deepblock.net/remote-sensing) Show submenu for Remote Sensing - [Surveillance & IMINT](https://www.deepblock.net/remote-sensing/defense-surveillance) - [Precision Agriculture](https://www.deepblock.net/remote-sensing/precision-agriculture) - [Microscopy](https://www.deepblock.net/microscopy) Show submenu for Microscopy - [Semiconductor & MEMS](https://www.deepblock.net/microscopy/semiconductor) - [Life Science & Medicine](https://www.deepblock.net/microscopy/life-science-and-medicine) - [Resources](https://www.deepblock.net/resources) Show submenu for Resources - [Case Studies](https://www.deepblock.net/resources/case-studies) - [Computer Vision for High-Resolution](https://www.deepblock.net/resources/challenges-high-resolution-imagery-ml-solution) - [Why Deep Block?](https://www.deepblock.net/resources/why-deep-block) - [E-Books](https://www.deepblock.net/ebooks) - [About Us](https://www.deepblock.net/about-us) - [Blog](https://www.deepblock.net/blog) [Contact Us](https://www.deepblock.net/contact?hsLang=en) # OpenCV + MinGW + VS Code Setup on Windows [![Gwihwan Moon](https://www.deepblock.net/hs-fs/hubfs/Brand%20Assets/Team%20members/Deep%20Block_Gwihwan%20Moon_Blog.png?width=50&height=50&name=Deep%20Block_Gwihwan%20Moon_Blog.png)](https://www.deepblock.net/blog/author/gwihwan-moon) [Gwihwan Moon](https://www.deepblock.net/blog/author/gwihwan-moon) 08 July, 2025 ![](https://www.deepblock.net/hubfs/ig_686cc4f4c1b481998d978b3c518398a70954e5d0a30042f9.png) Recently, I found myself traveling abroad with my laptop. Also, I needed to do some coding without internet connection rather than always depending on a remote server. Since most of my workflow is centered around Windows, I decided it was time to set up a proper C++ development environment on my laptop. Of course, setting up a Windows-based C++ environment with all the necessary tools isn’t always straightforward, especially when you want to leverage libraries like OpenCV. That’s why I chose to use the MinGW compiler environment, which is what VS Code itself recommends for Windows C++ dev. ## Why Is This Hard? Here’s the catch: neither Microsoft nor Visual Studio Code provide clear, practical guidance for setting up an environment that supports third-party libraries like OpenCV. They suggest installing MinGW through MSYS2, but when you actually follow the instructions on the VS Code website to set up the compiler, you quickly run into trouble—setting up the debugger and integrating the OpenCV library turns out to be far more complicated than expected. After working through these pitfalls, I realized that a lot of other developers were hitting the same walls, wasting time fighting their development environment instead of actually writing code. So, I decided to document what I learned along the way, including vscode configuration files as an open source. ## The Guide: Straight from [omnis-labs-company/vscode-opencv-mingw-windows-guide](https://github.com/omnis-labs-company/vscode-opencv-mingw-windows-guide) Instead of another generic copy-paste, this repo gives you a **step-by-step, foolproof roadmap**. What sets it apart? - **Detailed Walkthroughs:** Explanations, and helpful “what-to-do-if-you-get-stuck” notes - **Works with the MSYS2 & pacman:** No more downloading and building libraries — you do *everything* with MSYS2’s `pacman` package manager - **VS Code Specifics:** Get C++ Intellisense, proper build tasks, and smooth debugging — all in VS Code - **OpenCV Integration:** No manual CMake — the guide shows you how to use OpenCV without CMAKE. Here’s why I really liked it: *It doesn’t assume you already know how all this stuff works*. It’s written by someone who clearly remembers what it’s like to get lost in the maze of Windows setup hell. You won’t feel dumb for looking up basic things. ## Who Is This For? - **Students or hobbyists** who want to jump into OpenCV and C++ on Windows fast - **Anyone sick of broken StackOverflow answers** - People who like using **VS Code** over older/complicated IDEs If you’re already a CMake/Visual Studio expert and love pain, maybe you don’t need this. But for regular folks (like me), this is an absolute timesaver. ## Final Thoughts I cannot overstate how helpful it is to have one up-to-date, no-nonsense guide for something as hairy as OpenCV + MinGW on Windows. If you want to stop fighting with your build setup and actually start learning computer vision, bookmark this [vscode-opencv-mingw-windows-guide](https://github.com/omnis-labs-company/vscode-opencv-mingw-windows-guide). Previous Post ###### [Officially Verified: Our Product is KOLAS-Tested and GS Certified](https://www.deepblock.net/blog/officially-verified-our-product-is-kolas-tested-and-gs-certified?hsLang=en) Next Post ###### [Extracting Roads from Satellite Imagery Using Deep Learning: A Practical Workflow for Thin and Unstructured Paths](https://www.deepblock.net/blog/extracting-roads-from-satellite-imagery-using-deep-learning-a-practical-workflow-for-thin-and-unstructured-paths?hsLang=en) ### Similar Blog Posts [![](https://www.deepblock.net/hs-fs/hubfs/The%20Easiest%20Guide%20to%20Transformers-1.png?width=352&name=The%20Easiest%20Guide%20to%20Transformers-1.png)](https://www.deepblock.net/blog/transformers?hsLang=en) #### [Understanding Transformers Shouldn’t Be Hard — So We Made It Easy](https://www.deepblock.net/blog/transformers?hsLang=en) [![](https://www.deepblock.net/hs-fs/hubfs/%EA%B3%B5%EC%8B%9D%20%EC%9D%B8%EC%A6%9D%20%EB%A7%88%ED%81%AC%20%EC%95%88%EB%82%B4.png?width=352&name=%EA%B3%B5%EC%8B%9D%20%EC%9D%B8%EC%A6%9D%20%EB%A7%88%ED%81%AC%20%EC%95%88%EB%82%B4.png)](https://www.deepblock.net/blog/officially-verified-our-product-is-kolas-tested-and-gs-certified?hsLang=en) #### [Officially Verified: Our Product is KOLAS-Tested and GS Certified](https://www.deepblock.net/blog/officially-verified-our-product-is-kolas-tested-and-gs-certified?hsLang=en) [![](https://www.deepblock.net/hs-fs/hubfs/trench.png?width=352&name=trench.png)](https://www.deepblock.net/blog/extracting-roads-from-satellite-imagery-using-deep-learning-a-practical-workflow-for-thin-and-unstructured-paths?hsLang=en) #### [Extracting Roads from Satellite Imagery Using Deep Learning: A Practical Workflow for Thin and Unstructured Paths](https://www.deepblock.net/blog/extracting-roads-from-satellite-imagery-using-deep-learning-a-practical-workflow-for-thin-and-unstructured-paths?hsLang=en) [![Deep Block Logo White](https://www.deepblock.net/hubfs/Deep%20Block%20Logo%20White.svg)](https://www.deepblock.net?hsLang=en) Deep Block is a NO CODE AI-powered platform where you can create and use AI models without any of the frustration of coding. Deep Block allows you to use a library of pre-trained models but also lets anyone train their own AI data sets, no expertise required. [linkedin icon](https://www.linkedin.com/company/deep-block-net/) [youtube icon](https://www.youtube.com/@deepblock) ###### Get In Touch ![Deep Block_email_icon_B](https://www.deepblock.net/hubfs/Deep%20Block_email_icon_B.svg) [Contact us](https://www.deepblock.net/contact?hsLang=en) ![Deep Block_address_icon_B](https://www.deepblock.net/hubfs/Deep%20Block_address_icon_B.svg) 43, Changeop-ro, Seongnam City, Republic of Korea, 13449 Copyright © 2025 OMNIS Labs Company All Rights Reserved. [Privacy Policy |](https://www.deepblock.net/terms-and-privacy-policy?hsLang=en) [Terms of Use](https://www.deepblock.net/terms-and-privacy-policy?hsLang=en) ```json { "@context" : "https://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Gwihwan Moon", "url" : "https://www.deepblock.net/blog/author/gwihwan-moon" }, "dateModified" : "2025-07-08T07:14:34.588Z", "datePublished" : "2025-07-08T07:14:34.000Z", "headline" : "OpenCV + MinGW + VS Code Setup on Windows", "image" : [ "https://www.deepblock.net/hubfs/ig_686cc4f4c1b481998d978b3c518398a70954e5d0a30042f9.png" ], "mainEntityOfPage" : { "@id" : "https://www.deepblock.net/blog/opencv-mingw-vs-code-setup-on-windows", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://www.deepblock.net/hubfs/deepblock_logo_full2.png" }, "name" : "Omnis Labs Company" } } ```