Hello, guys. Original model has been used, masker was set for Extended.
Batchsize was set for 256: I read that this parameter affects the result and than NN can clearly highlight the main signs of the faces when it's bigger value of Batchsize.
This time I choose speed and it's finished by the slightly blurry picture. This is not the problem, I keep experimenting now.
I'm using MSI RTX 2070S, training speed is reaching about 220 EGs/sec. Is it normal? Hasn't seen such a big values here.
There is 32662 iterations total results:
Please, tell me, when face loss value is about 0,02 should be the result blurry or not? What quality you get at this value of face loss?
Maybe I should delete very similar faces from the faceset?
Somewhere there was information that with a large number of similar input frames, the neural network "averages" them, and this leads to blurring result. Is it true?
Big thanks to torzdf for his great guides, it is very useful information!