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I used my own train.py to train the model which has same data processing and same parameters.
But my test result is 98.38% using clcarwin's lfw_eval.py in Python2.7 and Pytorch0.4.0.
I don't know why my result is lower than clcarwin's.
Does anybody can solve my problem?Thanks.
The text was updated successfully, but these errors were encountered:
@Gerkam 20, the same as clcarwin's.
I found that the problem was that I didn't change the images' channels. I read them in RGB in training process but I read them in BGR in testing process. So there is a little deviation in accuracy.
I used my own train.py to train the model which has same data processing and same parameters.
But my test result is 98.38% using clcarwin's lfw_eval.py in Python2.7 and Pytorch0.4.0.
I don't know why my result is lower than clcarwin's.
Does anybody can solve my problem?Thanks.
The text was updated successfully, but these errors were encountered: