2. Encoding a CAD File

The notebook 2_encode_cad_file.ipynb walks through transforming raw CAD geometry into machine-learning features, including B-rep simplification and attribute extraction.

Always work from an activated hoops_ai_cpu environment so the HOOPS CADFlow dependencies are available, as explained in Evaluate & Install.

The code and resources for this tutorial can be found in the HOOPS-AI-Tutorials Github repository.

Hint

Launch jupyter lab notebooks/2_encode_cad_file.ipynb from the tutorial bundle root to execute the steps interactively.

• View your cad model in the notebook
• HOOPS AI: Encoder Module
• BRep data as numerical features for ML
• Encoding the Geometry
• Encoding the attributes