#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
#RAY/USDT analysis :
#RAY is currently consolidating within a flag pattern, indicating a potential continuation of its upward trend. A breakout above the $5.890 level could signal a move to higher price levels. Consider entering a long position upon confirmation of the breakout.
TF : 1D
Entry : $5.890
Target : $9.045
SL : $4.000
🔥$RAY
Entered this position as a speculative play within the SOLANA ecosystem. Monitor pullbacks carefully, manage entries with discipline, and always conduct your own due diligence before participating.
X: https://x.com/i/communities/2033099708164378981
Website: https://x.com/bbcworld/status/2033099192877429170?s=46
🔗 Contract: https://solscan.io/token/G7ydggVFm4RVTTsd3E8MWh7angBs78MTmZN3gVZPpump
https://dexscreener.com/solana/HAVxMaLK96qgiyRdvX4YVpjfajU49zWot4tdjxPesMrg
#RAY#SOLANA#TESLACALLS