#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
🪙 32,137 #BTC ($2.18 billion) went from the wallet of the #Mt․Gox exchange that collapsed in 2014 to an unknown address — the market reacted with a drop, suggesting that payments to the exchange's creditors could begin at any moment.
⚫️The Black Swan arrived unexpectedly... wait for new comments, despite the unpleasant surprise, the situation may become an opportunity to enter the market and make money on non-negative growth.
😙 The reasons for the fall of the # bitcoin exchange rate below $61,000
The unemployment rate was 4.3%, which is higher than expected, indicating a possible recession
The Bank of Japan raised the interest rate for the first time in 17 years, which led to an outflow of investments from risky assets
Increased geopolitical tensions (fear of a major world war)
😏Continued distribution of #BTC from #Mt.Gox and #Genesis