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hi alex,sorry to bother you,but i have been confused by a qustion for long time.The question is that if i trained this network with 300 epochs,and then i need to encode and decode with one checkpoint model, how do i choose the best checkpoint model from 300 checkpoint models?Is the 300th definitely best?
Shouldn't this line
pytorch-image-comp-rnn/train.py
Line 155 in 980f2ff
be
res = res0 - output
, whereres0 = patches - 0.5
?Rather than
res = res - output
?The residual at each iteration should be with respect to the original image, no?
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