OpenCV

OpenCV now has official merchandise for the first time! Quality t-shirts, sweaters, pet bandanas, and more are available in the official shop. Get an "I Love OpenCV" shirt in English, Spanish, and simplified Chinese. Shop now: https://lnkd.in/dSPNRCjE #OpenCV #ComputerVision #AI #OpenSource #NonProfit #ILoveOpenCV

In this edition of the OpenCV Newsletter you'll find how to join this week's webinar on a CVPR 2024 paper, a blog post about using artificial intelligence in warehouses, we revisit the OpenCV AI Game Show and more! #OpenCV #ComputerVision #AI #CVPR #CVPR2024 #MachineLearning #OpenSource #Webinar

This week's webinar features a paper that received top marks at CVPR 2024: Unbiased Estimator for Distorted Conics in Camera Calibration (CVPR 2024). Join us on Thursday for a presentation, Q&A, and a giveaway of one free OpenCV course to one of you in the audience. #OpenCV #ComputerVision #AI #OpenSource #CVPR

Web embeddings are key to unifying your visualization stack 💡 Our goal at Rerun is to build a visualization tool kit that allows companies to unify their visualization stack. From early prototyping, to running things in production, to training jobs: you should be able to use the same tools. A key unlock for making that happen is the ability to embed visualizations everywhere you might want them. Prototyping in a notebook? Building a custom dashboard? Expose visualizations in your own product? All of that you can do with Rerun. The video is showing embedded Rerun in our docs. With the latest Rerun 0.17 we have made embedded Rerun, and especially Rerun in a notebook much better. Check out an embedded Rerun viewer in our docs, the How-to, and the full 0.17 changelog in the links in the comments 👇

Stereo Slam on Kitti dataset 📷 🚘 📷 This example shows Farhad Dalirani's stereo visual SLAM implementation. Its input is video footage from a stereo camera, and it produces the trajectory of the vehicle and a point cloud of the surrounding environment. You can find the code on the link in the comments 👇. It’s using the latest Rerun 0.17 release.

Terrible, robots are taking jobs away from humans! So far in warehouses, but that's just the beginning. We tell you how smart machines are finding their way among the shelves and arranging hundreds of thousands of boxes of things without error. https://lnkd.in/d7jdd-7f

Ever wondered about the true cost of data annotation, including time, money, and resources? Meet the second article in our four-part series, where we break down the costs involved in data annotation. How Much Does It Cost to Annotate Data with an In-House Team?https://lnkd.in/dWHaCt5e #CVAT #computervision #videoannotation #imageannotation #MachineLearning #OpenSource #deeplearning

Join us for an enlightening webinar on a groundbreaking academic paper presented at CVPR 2024, by some of the authors of the paper. By leveraging a novel formulation using moments, the researchers have developed an unbiased estimator that accurately detects circular patterns at the sub-pixel level. This advancement significantly enhances the calibration pipeline, offering improved accuracy. Don't miss this opportunity to delve into the intricate details of their findings and explore the code available for implementation. Watch along for your chance to win a free OpenCV Course during our live trivia segment, and participate in the live Q&A session with questions from you in the audience. #CVPR #OpenCV #ComputerVision #AI #Robotics #Calibration

Interesting results, Car parts segmentation Ultralytics 💙🚀 🔗 Code: https://lnkd.in/dZVhSye4 Segmenting AUDI AG car body parts aids in damage analysis, which is crucial for various automotive industry tasks. By fine-tuning the model on a car parts segmentation dataset for 50 epochs using Ultralytics YOLOv8, I achieved impressive results. Advantages: ✅ Enhanced damage analysis for better repair assessments ✅ Streamlined processes for automotive industry tasks ✅ Accurate identification and segmentation of car components 🔥 With more data, you can even get better results 🔥

Self Racing Cars may just be the most fun event we've ever participated in. Putting a dozen or so sensor-equipped vehicles on a world class track like Laguna Seca to go as fast as they can? What's not to like? While the event is currently on hiatus, we hope it will come back soon so we can bring our mapping Mini back. Here's a video featuring Tangram Vision from the last event: https://lnkd.in/gQSjvbt2