Shaaf's blog

If you are into Computer vision, you probably are familiar with OpenCV. Its an amazing library that has almost everything one needs to do 2D and 3D processing and much more. Gesture recognition, face detection, Motion tracking, think of anything related to image processing and OpenCV can be your goto. Its based on the BSD license, so you can just download it and start using it.

OpenCV is written in C, and there are nice Java bindings for it too. If you are a Java developer like me and dont want to get into all the loading and building native bindings etc., then read on. In this article I will show how you can use OpenCV with the popular new framework Quarkus, without worrying about installing libraries or reloading the entire app.

Orignally posted at Red Hat Developers

Java is one of the most used languages out there and has been in the top three for the last two decades. Java powers millions of applications across verticals and platforms. Linux is widely deployed in data centers, Edge networks, and Cloud. Today we announce the availability of Quarkus for all our Red Hat Enterprise Linux (RHEL) customers. If you are running RHEL, you can now also run Red Hat Build of Quarkus (RHBQ). By doing this, we enable our customers, partners, and software vendors to use RHBQ in their applications with ease and furthermore enable them to deploy Quarkus for multiple use-cases for Java on Linux. If you are developing applications on a Kubernetes platform like Openshift, you can also use RHBQ with it, and this was announced last year. What is Quarkus and how can I develop and deploy it on RHEL? Learn more in this post.