- Run
representation.py
to extract representations using a UV-Net pre-trained for classification - Run
create_dataset.ipynb
to create random graph templates for the toy dataset - Run
create_benchmark.ipynb
to create the toy dataset benchmark
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This repo implements a sub-assembly retrieval method for Computer-Aided Design (CAD) models, based on geometric feature learning
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negarhdr/cad-modularization
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This repo implements a sub-assembly retrieval method for Computer-Aided Design (CAD) models, based on geometric feature learning
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