kanezaki / pytorch-rotationnet

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Vertex order of dodecahendron used for the case 2.

krips89 opened this issue · comments

Hello,
Is it possible for you guys to provided the order of the vertices of dodecahendron used for generating the views in case 2 (and hence its permutation in vcand file). I tried rendering in the order of the vertices provided here: https://github.com/kanezaki/SHREC2017_track3/blob/master/mvcnn_utils/render_views.m, but it seems that the generated images of ModelNet dataset doesn't look similar to that of the one in the datset, and as a consequence the training does not converge when the vcand.py was used for calculating the next candidate views for for case 2.
Thanks!

Hello,
The order of the vertices of dodecahendron (written in line 51-75) in render_views.m should work fine with vcand_case2.npy. Please make sure that "ims = render_views('airplane_0001.off')" would generate 20 images in the order like this:
airplane_0001
If training does not converge, please try a smaller learning rate. Thanks!

Can you also provide the details, how you generated the vcand_case2 permutations?
Thanks!