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Considering the index is also controlled by the dynamic values 'index = (i+lambda_local*x[6][:,i])',
it is possible to cause negative values which is not supposed to happen. The solution could be:
(1) set lambda_local = 0 (2) change the initial index 'https://github.com/shamangary/SSR-Net/blob/master/training_and_testing/SSRNET_model.py#L301': from 0 to 1 and do the same in the three for loop.
Note that you need to re-train the model to make these changes work. Cheers.
Hi,shamangary:
In the age prediction process,the age is negative,is there a way to avoid this?
Thanks。
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