#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
#FET/USDT Analysis-
The price has formed a symmetrical triangle pattern. Given the current bullish market scenario, there is a high probability of an upward breakout.
If the breakout occurs, the price is likely to rally toward the target zone from the breakout point.
T.F.- 1-D
ENTRY- as soon as it gives breakout
SL- 1.2
TARGET- 2.04
Note: If the stop-loss is triggered before entry, disregard the trade as the price action may develop differently.
#FET/USDT analysis :
#FET has broken down the 200 EMA and previous support levels. It is now undergoing a pullback and retesting the resistance zone. The price is expected to reject from there and bounce back to continue its bearish momentum.
TF : 1H
Entry : $1.170
Target : $1.057
SL : $1.252