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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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@githubtrending · Post #14805 · 06/08/2025, 11:30 AM

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#c_lang#alsa#audio_visualizer#freebsd#glsl_shaders#linux#macos#ncurses#pipewire#portaudio#pulseaudio#sdl2#sndio#windows Cava is a free, open-source audio visualizer that works on Linux, FreeBSD, macOS, and Windows, letting you see music as moving bars right in your terminal or desktop window[1][3]. It’s easy to install and use, supports many audio systems, and lets you customize colors and settings. The main benefit is that it makes listening to music more fun and visually engaging, especially for people who enjoy seeing sound represented in real time, and it works on almost any computer or device[1][3][4]. https://github.com/karlstav/cava

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#c_lang #alsa #audio_visualizer #freebsd #glsl_shaders #linux #macos #ncurses #pipewire #portaudio #pulseaudio #sdl2 #sndio #windows