#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
#OXT/USDT analysis :
#OXT has broken out and retested a previously respected support zone. Price is expected to bounce back from this level and test previous highs. This indicates a potential continuation of the bullish trend, as the retest confirms the strength of the support.
TF : 1D
Entry : $0.1070
Target : $0.1570
SL : $0.0857
#OXT finally broken up the trading range on 8H Time frame,we will have good pump again after a pullback,let's see what will happen 💫
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#OXT result
2 nd target achieved in just 3 days ✅✅
One more huge quick profit 15%🤑💰🤑
👉 Still thinking? The more you wait more you lose profit
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#OXT has good bullish momentum on Weekly time frame,we are waiting for a pullback and rebuy,buy dip
📈
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️