#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
#ENS is rebounding from the support trendline of the descending channel, with the Ichimoku Cloud acting as a resistance barrier.
A decisive breakout above both the channel and the cloud would confirm bullish momentum.
#ENS/USDT analysis :
#ENS is currently in an uptrend, consistently reaching new highs while trading above the 200 EMA. The price is now retracing towards the 200 EMA and a significant support level. It is expected that the price will test this zone and rebound, which should support the continuation of bullish momentum and will lead to a retest of previous highs.
TF : 1D
Entry : $30.35
Target : $47
SL : $23.38
#ENS/USDT analysis :
#ENS is currently in an uptrend, trading above the 200 EMA. The price has recently bounced back from the 200 EMA, suggesting a continuation of its bullish momentum and potential testing of higher levels. For a long entry, it is advisable to wait for a retracement to optimize the entry point.
TF : 30min
Entry : $43
Target : $48
SL : $38