{"id":8094,"date":"2023-05-08T23:28:00","date_gmt":"2023-05-08T17:58:00","guid":{"rendered":"https:\/\/nuclearrambo.com\/wordpress\/?p=8094"},"modified":"2024-10-03T15:02:47","modified_gmt":"2024-10-03T09:32:47","slug":"setup-vitis-hls-2022-2-and-opencv-on-windows-11-os","status":"publish","type":"post","link":"https:\/\/nuclearrambo.com\/wordpress\/setup-vitis-hls-2022-2-and-opencv-on-windows-11-os\/","title":{"rendered":"Setup Vitis HLS 2022.2 and OpenCV on Windows 11 OS"},"content":{"rendered":"\n

Primarily, there is plenty of support to operate Vitis HLS and OpenCV on the Linux environment. This is mainly because of the ease of use on Linux. On Windows operating system, however, the story isn’t straightforward. I struggled a lot to get the two to work together finally. The lack of a proper guide sets you back from using Vitis HLS + OpenCV setup on Windows environment. Prior to Vitis HLS 2020.x, OpenCV came bundled with the installation. One could use it right out of the box after installation and you did not need to carry out any other steps. I even wrote a post a long time back, demonstrating Vivado HLS<\/a>. I intend for this article to help other struggling souls to find a relatively clear guide on installing OpenCV for Vitis HLS 2022. <\/p>\n\n\n\n

Installing OpenCV from source code<\/h2>\n\n\n\n

It’s important we compile OpenCV on Windows from sources. Download the OpenCV sources from this link<\/a>. This links to an executable file. If you happen to be behind a firewall, you may prefer to download the source zip from github<\/a>. Either way, you end up with the OpenCV sources. I ran the executable and gave it a path. It extracted all the sources to the given path. <\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

We need two more tools to build OpenCV; MinGW<\/a> and CMake<\/a>. <\/p>\n\n\n\n

Extract MinGW files somewhere. It looks something like this.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

Add MinGW to your Environment variables. The path to the MinGW bin<\/em> should be added to the Path <\/em>variables.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

Inside the OpenCV folder, create a new folder called “mingw_build”. It could be any name you wish. <\/p>\n\n\n\n

Now, it’s time to install Cmake-gui. Run the installer and let it install. After completing the installation, run Cmake-gui through the start menu. <\/p>\n\n\n\n

In the sources<\/em> field, choose the OpenCV source path. The source path should be something like I showed above. <\/p>\n\n\n\n

In the second field, it asks where you want to build the binaries. Here, you select the “mingw_build” directory that we created previously. If all goes well, you should be able to click the “Configure” button and end up with this screen.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

Once you see the “Generating done” message, you can click on “Generate”. <\/p>\n\n\n\n

Go to the mingw_build <\/em>directory and fire up a command prompt window. In case you don’t know, Shift + right click > Open in terminal here. In case you don’t have the terminal, you should see a message to open it in PowerShell or command prompt. Anything will do. <\/p>\n\n\n\n

In the Terminal window enter the following command.<\/p>\n\n\n\n

mingw32-make<\/em><\/p>\n\n\n\n

This process takes a while to complete since it actually compiles the C source files into object files. When you’re done with 100% success with the previous command we can proceed ahead. <\/p>\n\n\n\n

mingw32-make install<\/em><\/p>\n\n\n\n

This creates the final binary files required to actually use OpenCV in Windows environment. <\/p>\n\n\n\n