#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
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#C98/USDT analysis :
#C98 is currently in a bearish trend, consistently making new lows. The price is expected to test the resistance zone before resuming its bearish momentum.
TF : 1h
Entry : $0.0872
Target : $0.0822
SL : $0.0900
#C98
Coin98 has successfully broken above the descendingchannel formation on the daily timeframe👀
Now, the price is holding above the previous resistance-turned-supportlevel
A bounce from the support zone could push the price toward targets at $0.077, $0.093, and $0.130
#C98 result
1st target achieved in just 15 hours✅
One more quick profit 6%💰🤑
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