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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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Libreware

@libreware · Post #1197 · 10/31/2023, 01:57 PM

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. Louis Rossman and FUTO have released another not -FOSS app of interest. This time they bring us the #video#streaming app #Grayjay, which is designed to let you surf and search all you favorite video streaming services at once. Grayjay does everything the popular NewPipe app does, plus more. Unfortunately NewPipe only worked with YouTube and PeerTube. So far Grayjay works w/these platforms (to a certain extent) - Rumble - Odysee - Youtube - FUTO's PeerTube Instance - Twitch - Patreon - Soundcloud - Kick - Nebula Sorry, no BitChute so far. You can download videos for offline viewing, and then export those to your Movies folder on your phone. You can download the apk install file here: https://grayjay.app/ Their GitLab source code can be found here: https://gitlab.futo.org/videostreaming/grayjay Casting: https://gitlab.futo.org/videostreaming/grayjay/-/blob/master/docs/casting.md ⚠️ License https://gitlab.futo.org/alex/voiceinput/-/blob/master/FTL_LICENSE.md ⚡️@LinuxTechIndex

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