TUI-NICR/EMSANet
EMSANet: Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
This tool helps analyze complex indoor scenes using standard RGB camera images combined with depth sensor data. It processes this visual input to identify different objects, categorize parts of the scene, and understand object orientations, producing a detailed spatial understanding of the environment. Architects, interior designers, robotics engineers, or smart home developers who need to precisely map and interact with indoor spaces would find this useful.
Use this if you need to accurately understand the layout and contents of an indoor environment from combined color and depth camera feeds.
Not ideal if you are working with outdoor environments, require analysis of only 2D images, or need to process video streams in real-time on extremely resource-constrained devices without specialized hardware.
Stars
71
Forks
8
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 01, 2026
Commits (30d)
0
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