Thou shalt programme
One in a while I start working on an Android app with computer vision capabilities and obviously I need OpenCV for that. However, I’m not surprised that every time (or most of the time to be fair) there’s some change in the way OpenCV is built which renders my build scripts useless, or buggy at …
After publishing this post some time ago which was a tutorial on how to create a Computer Vision Docker image using OpenCV and TensorFlow, I got many questions from people about the issues they’re facing when they try to use it. If you think something of a similar nature happened to you, then this post …
Continue reading “Computer Vision Docker Image with TensorFlow and OpenCV, From Scratch”
This is another one of those notes for myself which might be useful to you as well so I’m sharing it here. If you want to easily download and build OpenCV 4.3.0 with a simple PowerShell script, the this guide is for you.
Even though OpenCV is mainly a Computer Vision Library, it still contains a large set of very powerful mathematical functions, optimization algorithms and even GUI utilities that can be useful in other applications as well. Besides the fact that it’s open source and has a very permissive license, the emphasis on speed and performance which …
Continue reading “Using OpenCV ANN MLP to Train a Model on Iris Flower Dataset”
It’s almost inevitable to use Docker images these days especially if you want to have a consistent development environment and configuration. They make life extremely easy by guaranteeing that your application (in this case, Computer Vision application) will always behave the same way as it did when you developed it. How? By using Containerization. If …
Continue reading “Computer Vision Docker Image with TensorFlow and OpenCV”
Qt provides an extremely simple mechanism for deploying applications on macOS, thanks to macdeployqt tool. Unfortunately, the same does not apply to Qt for macOS applications that reference 3rd party libraries such as OpenCV. In this post, I’ll describe the manual but simple process of adding 3rd party libraries into macOS Application packages in order …
Continue reading “Deploying Qt+OpenCV Applications on macOS”
I usually build OpenCV with the BUILD_opencv_world option which makes it quite easy to configure my Qt projects and work fast. But when it comes to deploying OpenCV powered applications, I still prefer to use the modular and default OpenCV build in order to deploy only the required DLLs and end up with a smaller …
Continue reading “Configuring Qt for Windows Projects to Use OpenCV 4.1.0”
Following up on this post from last year, I’d like to share a couple of simple scripts that you can use to build OpenCV 3 or 4 on Windows, macOS and Linux operating systems. Needless to say, they require CMake and proper build tool sets on each platform.
This guide is quite similar to my previous How-Tos about building OpenCV from source codes and using them in Qt, but I wanted to created a fresh one and point out a few of the changes made in this recent OpenCV version that requires you to reconfigure your Qt projects just a bit.
If you’ve read my previous articles (especially this one) about how to use OpenCV in Unity and how to pass images between them, this post will feel like a breeze and you can just quickly skim through it. However, if you haven’t, I recommend doing so because in this post I’ll describe how to create …