#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
#GRT/USDT analysis :
#GRT has broken out of its trendline with strong momentum following a bounce back from the support zone. The price is expected to maintain its bullish momentum and test previous highs. The current level presents a favorable entry opportunity.
TF : 1W
Entry : $0.2023
Target : $0.3446 and $0.4902
SL : $0.1450
#GRT/USDT analysis :
#GRT is currently in a downtrend, making lower lows (LLs) and lower highs (LHs), and is trading below the 200 EMA. The price is facing rejection from both the 200 EMA and the resistance zone. It is expected to decline from this point and potentially test the previous swing low.
TF : 1D
Entry : $0.1682
Target : $0.1294
SL : $0.1940
💰#GRT has a falling wedge pattern on 8H Time frame, we expec it will pump alot in the case of breakout, waiting now..⌛️
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
💰#GRT bounced back from the Support zone on 12H Time frame, we are waiting for breakup and pullback to the broken trendline 💫
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️