#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
#TLM/USDT analysis :
#TLM has successfully broken out and retested the previous swing high level. The price is expected to rebound from this point and test the previous highs again.
TF : 1W
Entry : $0.01480
Target : $0.02400/$0.03260
SL : $0.01067
#TLM/USDT analysis :
#TLM is on the upswing, creating higher highs (HHs) and higher lows (HLs) above the 200-period exponential moving average (200 EMA). Currently, the price is undergoing a corrective pullback. It's probable that it will test the support zone and then rebound from there to sustain its bullish momentum and aim to revisit previous highs.
TF : 1h
Entry : $0.01160
Target : $0.01209
SL : $0.01128
#TLM/USDT analysis :
#TLM is presently in an uptrend, forming higher highs (HHs) and higher lows (HLs). The price is currently trading above the support zone and is projected to rebound from there to sustain its bullish momentum and retest previous highs.
TF : 1h
Entry : $0.01093
Target : $0.01144
SL : $0.01056