#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
CSS yordamida dizayn mahoratingizni oshiring!
Saytingiz ko‘rinishini yanada chiroyli, zamonaviy va professional qilish uchun quyidagi foydali vositalardan foydalanib ko‘ring:
1️⃣Border Radius Generator – burchaklarni yumaloq qilishda qulay:
🔗10015.io/tools/css-border-radius-generator
2️⃣Glassmorphism Generator – shaffoflik effekti bilan zamonaviy dizaynlar yarating:
🔗hype4.academy/tools/glassmorphism-generator
3️⃣Shadows Generator – realistik soyalar yaratish uchun ajoyib vosita:
🔗shadows.brumm.af
4️⃣Box Shadow Examples – tayyor soya effektlarini tanlab olib qo‘llang:
🔗getcssscan.com/css-box-shadow-examples
#CSS
💻@dasturlash_hayoti— dasturchilar hayoti va dasturlash olami haqida qiziqarli loyiha!
#css
🖥 Ko‘rsatilgan gradiyentlarga asosan CSS kod chiqarib beruvchi foydali sayt.
LINK👉neumorphism.io
💻@dasturlash_hayoti— dasturchilar va dasturlash hayotini yoritib boradigan loyiha!