OpenCV
Open Computer Vision Library
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Latest posts
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Why Location is the Key that Unlocks Physical AI at Scale – OpenCV Live! 231
Live Stream Date/Time: Thursday, October 29th, 2026 @ 9am Pacific. Physical AI (autonomous vehicles, delivery robots, drones, farm and construction machines) cannot move from prototype to deployment without knowing exactly where it is, often to the centimeter, under real-world…
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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. 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 fashion AI system working across millions of products from…
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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…
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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…
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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…
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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…
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OpenCV DNN Module: Deep Learning Inference in OpenCV 5
Run YOLO26 detection and RF-DETR instance segmentation with OpenCV 5. Follow tested Python and C++ examples, ONNX export steps, and real output images. The post OpenCV DNN Module: Deep Learning Inference in OpenCV 5 appeared first on OpenCV .
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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…
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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 he’s not alone, with Peter Staar joining for this…
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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…