#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
#IOST/USDT analysis :
#IOST has tested the support zone and has shown a bounce back. It is advisable to wait for a price retracement to enter long positions. The price is expected to maintain its bullish momentum, with potential to reach higher levels.
TF : 4H
Entry : $0.008550
Target : $0.011323
SL : $0.007050
#IOST/USDT analysis :
#IOST is currently experiencing a decline from the resistance zone following rejections in that region. It is anticipated to maintain its downward momentum and possibly test previous lows.
TF : 2H
Entry : $0.00500
Target : $0.00427
SL : $0.00542
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