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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 #14660 · 05/01/2025, 04:00 PM

#go#containers#cyclonedx#docker#go#golang#hacktoberfest#oci#sbom#spdx#static_analysis#tool Syft is a tool that helps create a list of all the software components used in your applications, known as a Software Bill of Materials (SBOM). This list is important for finding vulnerabilities and ensuring that your software complies with licensing rules. By using Syft, you can better manage your software's security and compliance. It works with many types of software and can be used with other tools like Grype to check for vulnerabilities. This helps keep your software safe and up-to-date. https://github.com/anchore/syft