AndrewColligan/CADNet
Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper on deep learning from planar B-Rep CAD models.
This project helps manufacturing engineers and product designers automatically identify machining features directly from 3D CAD models. It takes your standard B-Rep CAD model files as input and classifies different faces within the model as specific machining features, streamlining the process of preparing models for manufacturing. This is ideal for those involved in CAD/CAM workflows and automated manufacturing.
No commits in the last 6 months.
Use this if you need to automatically recognize and classify machining features on 3D CAD models to accelerate manufacturing planning or automated production.
Not ideal if your primary need is general 3D model analysis unrelated to manufacturing features or if you work with non-B-Rep CAD formats.
Stars
44
Forks
5
Language
—
License
—
Category
Last pushed
May 28, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AndrewColligan/CADNet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
daavoo/pyntcloud
pyntcloud is a Python library for working with 3D point clouds.
yangyanli/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
yogeshhk/MidcurveNN
Computation of Midcurve of Thin Polygons using Neural Networks
charlesq34/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space