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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

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@hanzichen · Post #1400 · 11/28/2025, 12:25 AM

AnghamiPlus AnghamiPlus is a sophisticated Xposed module that enhances your Anghami music streaming experience by unlocking plus-like features directly on the client side. Built with a modular and safe hooking architecture, it provides plus functionality without modifying server behavior or compromising your account security. 🔗 Links: - Download - Features - How to use - Support group and channel - Source code Developer: Kero309x ❤️ Support the Project If this project makes your life easier, here are a few quick ways to show some love: ⭐ Star the repo/app ☕ Buy a coffee for the developer 🛠 Contribute code, issues, or pull-requests ⚠️ This app might be breaking copyright laws, use at your own risk. We are not responsible for anything. We are just sharing open source software. 🏷 Tags: #Android#Music#Xposed#LSPatch#Modules