poor performance
dangchengliang opened this issue · comments
I have trained the autoencoder using the command 'python train.py --shapenet13',and didn't change any things of your code.I got a fscore of 0.819.in addition, I didn't train the single-view example.I attach a model of
AtlasnetReconstruction to the attachment. I got this ply file through the command 'python train.py --demo' and I changed the path of 'network.pth' of my own.
I think I may have done the wrong step.
Looking forward to your reply.Thanks.
Dear @dangchengliang ,
Thanks for reaching out,
Can you double-check that you train for auto-encoder and test with the same auto-encoder? I think the demo is doing SVR by default.
Best,
-Thibault