#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
#FIDA/USDT analysis :
A retracement to the 200 EMA is anticipated for #FIDA. Price has broken through a trendline and a minor resistance level, successfully retesting the zone. It is expected to rebound from the current level and move upward to test higher levels.
TF : 2H
Entry : $0.1187
Target : $0.1325
SL : $0.1090
#FIDA/USDT analysis :
#FIDA has rebound from the support zone after multiple tests. The price is anticipated to continue rising and challenge previous highs.
TF : 1D
Entry : $0.2267
Target : $0.2900
SL : $0.1840
#FIDA result
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