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I wondering every loss parameter (like hard_loss_metric, full_loss_metric, full_loss_num, and mean_dist) should be how much that indicate a good training and good hyperparameter setting?
Thanks for your attention
The text was updated successfully, but these errors were encountered:
can you fix this error?
-----\anaconda3\envs\gaitset\lib\site-packages\numpy\core\fromnumeric.py", line 56, in _wrapfunc
return getattr(obj, method)(*args, **kwds)
ValueError: cannot reshape array of size 230400 into shape (64,64,newaxis)
Hello
I wondering every loss parameter (like hard_loss_metric, full_loss_metric, full_loss_num, and mean_dist) should be how much that indicate a good training and good hyperparameter setting?
Thanks for your attention
The text was updated successfully, but these errors were encountered: