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Source channel @githubtrending · Post #15062 · Aug 15
#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
Search: #droidify
@libreware · Post #1561 · 02/27/2026, 10:14 PM
#Droidify#Fdroid client Added SHA256 for signature verification (Long press on Sync icon to refresh index) https://github.com/Droid-ify/client/releases Many more android app stores at https://t.me/Libreware/1132 and #apk@LibreWare Tell us your favorite or any missing ones
@libreware · Post #997 · 10/27/2021, 12:22 AM
Droid-ify Unofficial F-Droid client with Material UI based on Foxy-Droid Features: Material F-Droid style No cards or inappropriate animations Fast repository syncing Standard Android components and minimal dependencies https://github.com/iamlooker/Droid-ify/ Download: https://github.com/Iamlooker/Droid-ify/releases https://f-droid.org/packages/com.looker.droidify https://android.izzysoft.de/repo/apk/com.looker.droidify 📡@NoGoolag📡@Libreware #droidify#apk#fdroid