News
It’s been a few weeks since our last post, but things have definitely not slowed down in OpenCV AI Competition 2021! We’ve got a slew of highlights in this post,
Computer Vision software needs hardware, and combined innovations from Xailient and silicon manufacturers are accelerating the move to AI at the Edge. Intel Movidius™ is one leader in AI hardware
Spoiler: They’re much better now! OpenCV RANSAC is dead. Long live the OpenCV USAC! Last year a group of researchers including myself from UBC, Google, CTU in Prague and EPFL
Our guest for last week’s edition of OpenCV Weekly Webinar was Gerard Espona of Team Kauda (featured in our first post). You can find that episode on YouTube, along with
In computer vision, there are number of general, pretrained models available for deployment to edge devices (such as OpenCV AI Kit). However, the real power in computer vision deployment today
Since the OpenCV AI Competition 2021 began in earnest, we’ve seen hundreds of posts from teams building amazing projects all over the world. It can be intimidating to keep up
If social media is any indication, OpenCV AI Competition 2021 participants have really hit the ground running. The competition, sponsored by Microsoft Azure and Intel, features over 1000 developers on
Deep Learning Inference Engine backend from the Intel OpenVINO toolkit is one of the supported OpenCV DNN backends. It was mentioned in the previous post that ARM CPUs support has
In this week’s episode of the AI for Entrepreneurs, Anna Petrovicheva, CTO of OpenCV.AI, is talking to Dmitry Petrov who is the co-founder & CEO of a California-based high-tech startup
We are pleased to announce that Deep Learning Inference Engine backend in the OpenCV DNN module can run inference on ARM CPUs nowadays. Previously Inference Engine supported Intel hardware only: