galeraga/3D-semantic-parsing

Repo to host the UPC AIDL spring 2022 post-graduate project

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Experimental

This project helps anyone working with 3D scans of indoor spaces to automatically identify and classify objects or understand the layout of a room. It takes raw 3D point cloud data (X,Y,Z coordinates with color information) as input and outputs classifications of individual objects or a semantic map of an entire room. This is useful for professionals in fields like architecture, interior design, robotics, or facilities management who need to analyze physical spaces from 3D scans.

No commits in the last 6 months.

Use this if you need to automatically identify specific movable objects (like chairs, tables, sofas) from 3D scans or semantically categorize different parts of a scanned room.

Not ideal if your focus is on segmenting parts of individual shapes rather than whole objects or room layouts, or if your data isn't 3D point clouds of indoor environments.

3D-scanning architecture-analysis indoor-mapping robotics-navigation facilities-management
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

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Language

Python

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Last pushed

Jul 13, 2022

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