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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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@dooooshno · Post #921 · 03/28/2024, 02:15 PM
Пришло время! Я работаю саунд продюссером, SFX, игры, реклама и участие в создании архитектуры проекта #musicproduction#sounddesign#composer#soundegineer И конечно свожу треки, очень красиво и главное бережно к артисту и его душевной организации) Если вам или кому-то из ваших друзей/знакомых нужен такой специалист – Смело пишите , отправляйте ему это сообщение 💼Портфолио: http://leonovaportfolio.tilda.ws/page44575443.html
@djangoproject · Post #535 · 12/28/2017, 10:12 AM
https://docs.pipenv.org/ #Pipenv — the officially recommended #Python#packaging tool from Python.org, free (as in freedom). Pipenv is a tool that aims to bring the best of all packaging worlds (#bundler, #composer, #npm, #cargo, #yarn, etc.) to the Python world. #Windows is a first–class citizen, in our world. It automatically creates and manages a #virtualenv for your projects, as well as adds/removes #packages from your #Pipfile as you install/uninstall packages. It also generates the ever–important Pipfile.lock, which is used to produce deterministic builds.