Explore every episode of the podcast OpenCV Live

Join us this week for a presentation titled "Building the Next Generation of Synthetic Media," where Victor Erukhimov shows us how generative AI is reshaping the way digital humans and video content are created. The talk covers two products built by the team: Avatar SDK, a toolkit for generating photorealistic 3D avatars, and CraftStory, their GenAI-driven storytelling product. Viewers will learn about real-world deployments, including a 3D FIFA World Cup 2026 viewing experience built for the BBC in which every player was recreated as an Avatar SDK-generated avatar.

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Autonomous drones only fly as well as they can figure out where they are. Drop one into a forest, a dense city, or a disaster zone, and that gets a lot harder — the signals they normally lean on just aren't there. This week we get into HUNT, a navigation approach built for exactly the places where the usual answers fall apart.

OpenCV is a 501(c)(3) registered non-profit in the United States. See how you can support open source CV & AI: http://opencv.org/support/

Watch along for your chance to win during our live trivia segment, and participate in the live Q&A session with questions from you in the audience. Become a paid member of the channel to help us make more episodes https://www.youtube.com/channel/UCkrcW82Y2kbgU-U9RaYfgxw/join

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Our guest this week is Alireza Taheritajar, a Ph.D. Student an Augusta University focusing on In-Situ Intelligent Mixed Reality Assistants for Adaptive Human-AI Collaboration. Mixed-reality overlays have been around for awhile, but with the recent upgrades in camera quality, lens resolution, and processing power they are becoming more useful than ever. Join us for a look at some very cool research and development tech here on OpenCV Live.

OpenCV is a 501(c)(3) registered non-profit in the United States. See how you can support open source CV & AI: http://opencv.org/support/

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Cloud Optimized OpenCV Library (COOL) delivers a high-performance build of OpenCV, enabling faster computation of core computer vision operations such as resize, adaptive gaussian, contour detection functions. This optimized edition is designed for accelerated computer vision workloads on AWS Graviton and ARM-based environments, helping developers achieve improved efficiency for AI, ML, and image processing applications. On this episode we welcome Frantz Lohier from AWS to show you the awesome performance benefits of COOL, at a price that any company can afford. OpenCV is a 501(c)(3) registered non-profit in the United States. See how you can support open source CV & AI: http://opencv.org/support/ Watch along for your chance to win during our live trivia segment, and participate in the live Q&A session with questions from you in the audience. Become a paid member of the channel to help us make more episodes https://www.youtube.com/channel/UCkrcW82Y2kbgU-U9RaYfgxw/join Got a cool project of your own? Send it to us and you may be featured https://www.jotform.com/form/233105358823151 Thumbnail by Natalia de la Rosa natdlrs.com

On this week's episode we turn the focus to the worldwide community of creators and hobbyists that make awesome OpenCV stuff. We'll take a look at some recent projects posted to Hackster.io, and have a short presentation from an OpenCV community member about their project.

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In this talk, Pengyuan Li will present the team's efforts in building the Granite Vision model—a lightweight, large vision-language model specifically designed to excel in enterprise use cases, particularly in visual document understanding. Compared to other models of similar parameter size, Granite Vision achieves state-of-the-art performance on established benchmarks for visual document understanding, table and chart conversion to structured formats, and general image tasks. Since its release, Granite Vision has yield more than 150K usages and downloads on Hugging Face. The model is publicly available on HuggingFace under the Apache 2.0 license.

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We welcome Monica Song (Product Manager, Google AI Frameworks) to the show for a technical talk this week: How to train your JAX models with `model.fit(...)` for use with the latest version of the deep learning framework Keras (3.X). A version of this talk was presented at OpenCV's first conference, OSCCA, earlier this year and we look forward to sharing it with the broader OpenCV community.

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Vision Language Models are one of the most important concepts for understanding modern AI workflows, and on this episode we'll take a look at Contrastive Language-Image Pre-training (CLIP), released in 2021 by OpenAI. Wikipedia: "CLIP is a technique for training a pair of neural network models, one for image understanding and one for text understanding, using a contrastive objective." It's also a technology that has enabled much of the current text-to-image pipeline.

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Murtaza Hassan is a prolific online educator, maker, and Youtuber, with his channel attracting over 430,000 subscribers and featuring courses, projects, and more. Murtaza returns to OpenCV Live in this episode to show off a new project of particular interest to the CV and AI community- Pysimverse, a powerful Python drone programming simulator.

Tune in to see how it works, and how you can get access to this awesome project. Watch along for your chance to win during our live trivia segment, and participate in the live Q&A session with questions from you in the audience.

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At CVPR 2025 in Nashville we announced the grand prize winners of the Perception Challenge for Bin-Picking during our workshop on Perception for Industrial Robotics Applications. It was a tight competition, but in the end one team stood above the others. 

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