Machining Feature Recognition

This project provides a deep learning approach to learn machining features from CAD models using a hierarchical graph convolutional neural network.

Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper. This is an approach using graph neural networks to learning from planar B-Rep CAD models.

This project is a re-implementation of FeatureNet using Tensorflow 2. With working segmentation code.