ma-xu/pointMLP-pytorch

关于复现精度的问题,无法达到您说的精度,可否公布一下您达到最好精度时的随机种子,谢谢

xiaobaitu123344 opened this issue · 4 comments

关于复现精度的问题,无法达到您说的精度,可否公布一下您达到最好精度时的随机种子,谢谢
ma-xu commented

@xiaobaitu123344
You can find all hyper-parameters (including reandom seeds) in the logs, e.g., https://web.northeastern.edu/smilelab/xuma/pointMLP/checkpoints/fixstd/modelnet40/pointMLP-20220209053148-404/out.txt

Also, please refer #67 for random seed issue, and #1 (comment) for reproducibility issue.

首先感谢您的回答,请问您的model313C是pointmlp还是那个elite版本

ma-xu commented

It's for PointMLP.

谢谢您的耐心解答