Shivanand Venkanna Sheshappanavar
Shivanand Venkanna Sheshappanavar
@wusuoweima normals always face outward because they are perpendicular to the surface Please refer: http://mathworld.wolfram.com/NormalVector.html
@TobyRoseman I apologize. I have edited it now. Please access now. The notebook has the code to reproduce the issue.
We have an ongoing issue with torch trace. We were suggested to use the torch script [here](https://discuss.pytorch.org/t/shape-comparison-exception-in-custom-model-trace/150008). Can you please check for the torch script?
@erikwijmans Kindly please help us with this issue. Thanks
@LiuNull or @erikwijmans Please let me know what script you used to test the results. I have trained using the command mentioned in the readme file. However, I didn't find...
> I have noticed that you had a closed issue about best results in ModelNet40. > You said before the changing, your results was only 0.X% accuracy gap with the...
> I have successfully run the code with cuda 10 Please let us know what are the configurations you used to run it on cuda 10
I am able to reproduce Acc: 0.931929 which is 93.2 as claimed in the paper.
@ruc98 I didn't change anything. From where did you see 11 layers?. Classification network has 14 layers and segmentation has 23 layers right?
@ruc98 The 93.2% which I got is using the given L=6 code, with voting. I have not checked without voting. Keep us posted if you try L=11 with or without...