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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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@TossLabChannel · Post #746 · 08/27/2025, 03:18 PM

#HarmonyOS#HAP#鸿蒙NEXT HarmonyOS-Haps:鸿蒙 NEXT HAP 安装包合集 这是一个社区整理的 鸿蒙 NEXT HAP 安装包合集,适合开发者和爱好者下载、安装或研究 HarmonyOS NEXT 应用。 仓库持续更新,已收获上千 Star,体现了社区的活跃度与实用性。 如果你在使用鸿蒙 NEXT,想要获取或尝试不同的 HAP 安装包,这个仓库是不错的资源。 🔘@TossLab🔘@TossLabChannel

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@githubtrending · Post #15616 · 04/15/2026, 12:00 PM

#cplusplus#hap#mid_360#ros#ros2 Livox ROS Driver 2 connects your Livox LiDARs like HAP and Mid360 to ROS (Noetic) or ROS2 (Foxy/Humble/Jazzy) on matching Ubuntu versions. Clone the repo in a workspace/src folder, build Livox-SDK2, then run ./build.sh with your ROS version, and launch with roslaunch or ros2 launch files from launch_ROS1/ROS2 folders—edit JSON configs for IP, ports, frequency (up to 100Hz), and formats. This lets you quickly test and visualize point clouds in RViz for robotics development, saving time on setup and debugging. https://github.com/Livox-SDK/livox_ros_driver2