BrepMFR Model Weights

Model checkpoints for BrepMFR — machining feature recognition in B-rep models through deep learning and domain adaptation.

Files

Path	Description	F1 Score
trial1_ss/best-epoch41-f1_0.9476.ckpt	Best overall (full dataset)	0.9476
trial1_ss/last.ckpt	Last epoch, full dataset	—
trial1_ss1500/best-epoch46-f1_0.9455.ckpt	Best, 1500 sample subset	0.9455
trial1_ss1500/last.ckpt	Last epoch, ss1500	—
trial1_ss1000/best-epoch28-f1_0.9146.ckpt	Best, 1000 sample subset	0.9146
trial1_finetune_ss/best-epoch26-f1_0.9356.ckpt	Best finetuned	0.9356
pipe_classifier/best-epoch64-f1_0.5517.ckpt	Pipe classifier (different task)	0.5517
face_seg_heavy/best-epoch43-f1_0.8626.ckpt	Face segmentation (heavy arch)	0.8626
brepsimplifier/f1_0.9415.ckpt	BrepFormer for defeaturing	0.9415

Source Code

https://github.com/cad-results/BrepMFR