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Artwork for OpenCV Live

OpenCV Live

Phil Nelson
Opencv
Cloud Optimized Opencv Library (cool)
Granite Vision
Keras
Jax
Enterprise AI
Vision-Based Navigation
Reactive Collision Avoidance
Drone Autonomy
Amazon Web Services
Opencv 5
Graviton
Google
IBM Research
Document Image Understanding
Mixed Reality
Craftstory
Opencv Live
Papers and Publications
ONNX Runtime

Audio-only edition of the official OpenCV livestream. OpenCV CEO Dr. Satya Mallick and co-host Phil Nelson invite guests from around the world of computer vision and AI to discuss the latest technology, share hard-won insights, and answer questions from the audience. OpenCV is the largest computer vision library in the world with over 2,500 algorithms. It has been developed continuously since June... more

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Artwork for OpenCV Live

Latest Episodes

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 ... more

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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 naviga... more

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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 up... more

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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 a... more

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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 memb... more

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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 ... more

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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 thi... more

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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 ... more

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Recent Guests

Victor Erukhimov
CEO of CraftStory
CraftStory
Episode: Building the Next Generation of Synthetic Media
Alessandro Saviolo
Research Engineer presenting PhD work on Drone Autonomy in GPS-Denied Environments
New York University / HUNT project
Episode: Rethinking Drone Autonomy in GPS-Denied Environments - OpenCV Live 217
Alireza Taheritajar
Ph.D. student presenting research on in-situ intelligent mixed reality assistance for adaptive human AI collaboration
Augusta University
Episode: Adaptive Human-AI Collaboration with Mixed Reality
Frantz Lohier
AWS, speaking on Cloud Optimized OpenCV and Graviton
Amazon Web Services
Episode: COOL: The Official Cloud Version of OpenCV
Abhishek Gola
OpenCV team member involved in building Cool binaries and integration
OpenCV
Episode: COOL: The Official Cloud Version of OpenCV
Pengyuan Li
Research scientist at IBM Research and Granite Vision contributor
IBM Research
Episode: Granite Vision: Lightweight, Enterprise-grade Large Vision-Language Models
Monica Song
Google AI Frameworks presenter, Keras/Jax expert
Google
Episode: Keras 3: Train your JAX models with `model.fit(...)`

Hosts

Satya Mallick
OpenCV CEO, host
Phil Nelson
Director of Content and Creative at OpenCV, host

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Talking Points

Recent interactions between the hosts and their guests.

Building the Next Generation of Synthetic Media
Q: If an image contains multiple people, can the model detect every face and generate a separate mask for each one?
Currently CraftStory works with one person per video, and Avatar SDK could theoretically handle multiple faces, but the workflow shifts responsibility to the customer for selecting which faces to avatarize, to ensure clarity and accuracy in who is being generated.
Keras 3: Train your JAX models with `model.fit(...)`
Q: What is the relationship between Keras, Jax, and TensorFlow in this ecosystem?
Keras acts as a high-level abstraction layer that sits on top of Jax and TensorFlow, making it easier to build and train models. Jax provides the core numerical and differentiation capabilities, while Keras offers a unified API that can switch between backends with minimal code changes.
COOL: The Official Cloud Version of OpenCV
Q: How does one deploy OpenCV workloads across different architectures without rewriting code?
Abhishek and Satya emphasize the portability of OpenCV: you write code once and OpenCV optimizes for the target architecture, so performance varies by platform but code stays consistent; using Cool on Graviton further accelerates performance without code changes.
COOL: The Official Cloud Version of OpenCV
Q: Is it worth it to start a CV career in 2026 or a general IT career? Will AI replace human work in this area?
Satya explains that CV is a core part of AI with many real-time, specialized tasks that require precise vision capabilities; a career in CV remains promising because models and tools (like OpenCV) enable practical, high-value work across domains such as robotics, agriculture, healthcare, and manufacturing, and true depth of understanding remains essential for advancement.
Rethinking Drone Autonomy in GPS-Denied Environments - OpenCV Live 217
Q: How much power is needed from the Orin AGX when you're running this?
Power consumption varies with the board and mode; commonly around 25W, but can be boosted to up to 40W with a super mode, depending on configuration.

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Frequently Asked Questions About OpenCV Live

What is OpenCV Live about and what kind of topics does it cover?

A technically oriented show that centers on computer vision, AI frameworks, and scalable deployment. Episodes frequently feature deep dives into vision systems, model efficiency, and practical implementations—ranging from GPS-denied drone autonomy and mixed reality workflows to cloud-optimized OpenCV and enterprise-grade vision models. Notable is the blend of hands-on demos, live coding or setup walkthroughs, and audience Q&A, often anchored by OpenCV leadership and technical guests from academia, major tech companies, and open-source ecosystems. The format tends to balance rigorous engineering detail with accessible explanations, making it valuable for developers, researchers, and engineering leaders evaluating tools, libraries, and deploy... more

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What guests have appeared on OpenCV Live?

Recent guests on OpenCV Live include:

1. Victor Erukhimov
2. Alessandro Saviolo
3. Alireza Taheritajar
4. Frantz Lohier
5. Abhishek Gola
6. Pengyuan Li
7. Monica Song

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