#python#mllm#point_clouds#scene_understanding#spatial_intelligence
SpatialLM is a powerful 3D language model that turns complex 3D point cloud data from videos, RGBD images, or LiDAR into clear, structured 3D scene layouts showing walls, doors, windows, and objects with labels. It works without needing special equipment and can detect user-specified object categories. This helps you understand and analyze indoor spaces better, useful for robotics, navigation, and 3D design. You can run it on your data, visualize results, and even customize detection tasks easily, making 3D scene understanding more accessible and flexible for many applications.
https://github.com/manycore-research/SpatialLM
🌍🌍✨✨✨✨#tv
🔴Yangiliklar
🇺🇿Oltiariq tumanida 🌱“Yashil makon” loyihasi doirasida Tuman Madaniyat boʻlimi xodimlari ishtirokida ko‘chat ekish ishlari amalga oshirildi.
Rasmiy sahifalarimizda bizni kuzatib boring:👇
📱Telegram | 📱Instagram |
📱Facebook | 📱YouTube
📺Smart TV Owners Want Multi-Device Viewing Options
Smart TV Owners watch a combination of both broadcast and online #TV. Further exploring their diverse TV engagement habits shows they frequently ventures beyond their smart TVs, watching their favorite TV shows and films across a broad range of devices, demonstrating that it’s the content, not the device, that governs preferences.
🚀@PerspectiveIX
🌀 http://prs.pctvix.co/TelegramIX