galeraga/3D-semantic-parsing
Repo to host the UPC AIDL spring 2022 post-graduate project
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.
Stars
5
Forks
—
Language
Python
License
—
Category
Last pushed
Jul 13, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/galeraga/3D-semantic-parsing"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
IGNF/myria3d
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
PRBonn/semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
venkatasivanaga/FuelDeep3D
R package for LiDAR point-cloud processing and deep-learning inference for 3D fuel mapping.
RWTH-E3D/ifcnet-models
Code for the EG-ICE 2021 Paper "IFCNet: A Benchmark Dataset for IFC Entity Classification"
soumik12345/point-cloud-segmentation
TF2 implementation of PointNet for segmenting point clouds