D4ve-R/ifcclouds
convert ifc files to pointclouds
This tool helps architects, construction managers, or building information modeling (BIM) specialists transform detailed IFC building models into point clouds. It takes your IFC files as input and generates corresponding point cloud data in .ply format, where each point also includes a class label. This output is ideal for generating synthetic datasets for machine learning applications related to building analysis.
No commits in the last 6 months.
Use this if you need to convert 3D architectural or construction models from IFC format into point clouds for tasks like training machine learning models for segmentation or object recognition within buildings.
Not ideal if you need a tool for real-time scanning, processing actual sensor-generated point cloud data, or generating highly realistic visualizations.
Stars
18
Forks
4
Language
Python
License
—
Category
Last pushed
May 15, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/D4ve-R/ifcclouds"
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