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Hello, I have trained on a dataset extracted from 2 videos.
The faceA folder contains 1690 images and the faceB folder contains 2590 images.
I have trained for 40,000 iterations but the results are very bad.
Could it be because I have trained for too few iterations?
Could it be for the image number of my dataset?
Thank you a lot.
Which model?
Either way, 40,000 is not that high.
Is the model based on the input size using the CLI?
because I can't use the GUI and I don't select a model type.
however the images are all 256x256.
The network can train for 1000000 iterations but i don't know when it is enough.
Thank you a lot.
If you didn't specify a model then you will be using the Original model.
Did you solve your problem and get a good result ? I get same problem, I run 15000 iterations and my training loss is still 0.03 , It is hard for me to decrease the loss , and convert face is blurry.
Loss is diminishing returns. The closer you get to convergence, the slower the loss level will drop.
See the section on monitoring training for more information:
viewtopic.php?f=6&t=146#monitor