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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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@The2ndDim · Post #914 · 03/27/2019, 07:04 PM
#CAUTION 如果最近有要退换货或者售后维修的话，建议在装箱之前，拍摄一段视频，说明故障原因，为何送修，设备当前的状况，以及拍下来能证明当时的日期时间的东西。最好视频本身直接一镜到底录下来一直快递员最终带走包裹的画面。 最近似乎有一些售后维修会故意损坏送修的设备然后拒绝提供维修/保修服务。 如果你遭遇了这个情况，录制的这个视频将可能为你的维权提供一些帮助。
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@venturevillagewall · Post #4229 · 02/24/2025, 10:00 AM
Crypto Outflows Reach $508M Amid Caution Digital asset investment products experienced significant outflows of $508 million as investors react cautiously to uncertainties following the US Presidential inauguration. Influencing factors include market volatility surrounding trade tariffs, inflation, and monetary policy adjustments. Read more: Unfolded #Crypto#Investment#USPolitics#MarketVolatility#Inflation#MonetaryPolicy#DigitalAssets#DeFi#Ethereum#Trading#Finance#Economics#Outflows#Blockchain#Investors#Caution#RiskManagement#CryptoNews#MarketTrends#AssetManagement