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Phase 2 of OpenCV AI Competition 2021 is winding down, with teams having to submit their final projects before the August 9th deadline. But that doesn’t mean we’re slowing down
Until recently OpenCV Python packages were provided for Windows, Linux (x86_64 and ARM), and macOS (formerly known as OSX) for x86_64 and all was right with the world. However, in
In between the last OpenCV AI Competition 2021 update and this one, we made a big decision- the Competition deadlines have been extended due to the ongoing COVID-19 pandemic and its
Whether for medical imaging, autonomous driving, agriculture automation, or robotics, scaling a computer vision (CV) project is tough and takes tons of micromanaging, tracking, and analysis for the best results.
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