#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
#SHIB/USDT analysis :
The price of #SHIB has recently broken out of its trendline, indicating a potential bullish momentum. While a retracement to the 200 EMA is expected, the overall sentiment suggests that the price is likely to move upwards and test the swing high level.
TF : 4h
Entry : $0.00001480
Target : $0.00001734
SL : $0.00001313
#SHIB/USDT analysis :
#SHIB has successfully broken out of the trendline, demonstrating a strong bullish movement. It is anticipated that this upward momentum will continue, allowing the price to test higher levels.
TF : 1D
Entry : $0.00002536
Target : $0.00004567
SL : $0.00001827
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