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Computer Vision

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  • Building an AI Stylist That Works in the Real World – OpenCV Live! 230

    Live Stream Date/Time: Thursday, October 22nd, 2026 @ 9am Pacific. Watch on Patreon Watch on YouTube Watch on Apple Podcasts Watch on LinkedIn Watch on Zoom Watch on Twitch On this week’s episode, we welcome Divya Manjari, CEO & Founder @ Drezily. Her talk shares what it took to build Drezily’s AI Stylist, a production-grade…

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  • The Mothbox – Open Source Insect Biodiversity Monitoring System – OpenCV Live! 229

    Live Stream Date/Time: Thursday, October 15th, 2026 @ 9am Pacific. Join OpenCV Live for a conversation with Dr. Andrew James Quitmeyer, founder of Digital Naturalism Laboratories (Dinalab), about the Mothbox, an open-source insect biodiversity monitoring system built to put automated field science within reach of researchers, conservationists, and hobbyists alike. The Mothbox is a low-cost,…

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  • OpenCV to NVIDIA Isaac Sim: Building the Physical AI Pipeline – OpenCV Live! 228

    Live Stream Date/Time: Thursday, October 8th, 2026 @ 9am Pacific. NVIDIA Isaac Sim™ is an open source reference framework for robotics simulation, testing, and synthetic data generation in physically based virtual environments. It’s a powerful system which can ingest data from multiple sources—such as computer-aided design (CAD), Unified Robot Description Format (URDF), or real-world captures.…

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  • How Machines Learned to Talk – OpenCV Live! 227

    Live Stream Date/Time: Thursday, October 1st, 2026 @ 9am Pacific. Akshat Mandloi, co-founder of Smallest.ai, joins OpenCV Live to answer a question most of us have wondered on hold with customer service: why can you still tell it’s a bot? His answer isn’t “the model’s too small.” After three generations of voice AI, less than…

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  • Deploying Synthetic Data for Real-World Inspections – OpenCV Live! 226

    Click-Ins runs inspections for insurers, rental fleets and dealerships from ordinary phone photos. The models behind it are trained almost entirely on rendered data: 3D vehicle models with procedurally generated dents, scratches and deformations across makes, colors, lighting and backgrounds, auto-annotated at the pixel level. In this episode CEO Dmitry Geyzersky will cover how the…

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  • OpenCV DNN Module: Deep Learning Inference in OpenCV 5

    OpenCV’s DNN module lets you run a trained neural network inside the same application that reads images, processes video, and draws results. You can export a model to ONNX, load it with OpenCV, and use its predictions without loading the training framework in your application. OpenCV 5 expands that workflow with a new inference engine…

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  • OpenCV Enhances Native Computer Vision Development for Windows on Snapdragon®

    Planned work will focus on native builds, sustainable build-and-test infrastructure, and performance optimization for the open-source developer community PALO ALTO, Calif., Sept. 14, 2026 — The Open Source Vision Foundation (OSVF), the nonprofit organization that operates OpenCV, today announced plans to enhance OpenCV support for Windows on Snapdragon®. As part of this effort, OSVF is…

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  • Document Intelligence with Granite Vision and Docling – OpenCV Live! 225

    Pengyuan Li of IBM Research returns to OpenCV Live, following his August 2025 appearance where he introduced Granite Vision, IBM’s lightweight open vision-language model built for enterprise document understanding. This time the focus shifts from the model to the workflow: how Granite Vision pairs with Docling, IBM’s open-source document conversion toolkit, to turn PDFs, scans,…

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  • Beyond SLAM – OpenCV Live! 224

    The goal behind this session is to explain to developers how Visual SLAM maps differ from VPS maps, and how to approach challenges such as short-term and long-term relocalization. We will also explore the differences between machine-readable and human-readable maps, and why both need to coexist to support orchestration and coordination tasks occurring within the…

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  • Accurate Camera Calibration In The Wild — OpenCV Live! 223

    Camera calibration is a familiar pain to anyone who works with computer vision. It can be hard to know where to start, and even difficult to know when you’re “done.” This week we welcome back Luxonis to the show, and Cenek Albl (VP of Computer Vision) will show us how they handle the most dangerous…

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