#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
⚡️Los Rays en sus últimas 4 series:
Barreda de 3-0 contra los Twins
Victoria de la serie de 2-1 contra los Guardians
Barreda de 3-0 contra los Giants
Barreda de 3-0 contra los Blue Jays
Tampa Bay está en una racha ganadora ☀️
#Rays
🗞 | t.me/MLB_Daily
⚡️🦐 Según se informa, el lanzador derecho Nick Martinez y los Rays han llegado a un acuerdo de contrato por un año.
#️⃣#Rays#NMartínez
🗞 | t.me/MLB_Daily
💥💱 𝑻𝑹𝑨𝑫𝑬 𝑨𝑳𝑬𝑹𝑻 💱💥
🦤 Orioles reciben a:
⚡️ RHP Shane Baz
⚡️ Rays reciben a:
⚾️ OF Slater de Brun (Prospecto #6 de Orioles)
⚾️ C Caden Bodine (Prospecto #10 de Orioles)
🧢 RHP Michael Forret (Prospecto #11 de Orioles)
⚾️ OF Austin Overn (Prospecto #30 de Orioles)
- una selección de la Ronda A de Equilibrio Competitivo
#️⃣#Trade#Orioles#Rays#Baz#DeBrun#Bodine#Forret#Overn
🗞 | t.me/MLB_Daily