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Source channel @githubtrending · Post #15062 · Aug 15

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#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

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Pocket Rocket Announcement

@pocket_rocket_game · Post #12 · 05/28/2024, 10:04 AM

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🚀Our spaceship is on its way to success 🚀 And we believe that each of you can help us reach new heights. That’s why we are launching a content creation activity! The participants will receive 500,000 crystal rocks each for their videos. We will also select the best-performing entries and reward them with WBT. 📲You can join the activity on Instagram, TikTok, X (Twitter), or YouTube. Fill out this form to participate. Read more about the activity here. ⚡️ Don’t forget to use the #PocketRocket hashtag when publishing your content. We can’t wait to see your content! Play | Announcements | Telegram Chat | Twitter |

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