#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
#CTSI/USDT analysis :
#CTSI is currently trading at a support zone and is expected to bounce back from this level, rising to test the resistance zone. A potential gain of 140% is anticipated from the current level.
TF : 1W
Entry : $0.1405
Target : $0.3404
SL : $0.0888
#CTSI/USDT analysis :
#CTSI has bounced off from the support zone and is expected to continue its bullish momentum towards the previous swing high.
TF : 30min
Entry : $0.1250
Target : $0.1295
SL : $0.1218