Trainning only need HR images?

[Macro03]

Hello, thank you very much for your excellent work. Does the trainning data only need HR images? Can I delete the self.dir_lr in df2k.py ?

[LongguangWang]

Hi @Macro03, thanks for your interest in our work.
In our implementation, the LR images are generated online during training thus you can safely remove self.dir_lr.

[Macro03]

I trained the Moco by the two real world images instead of 'degrade' images, the contrast_loss increase in early epoch and then decrease slowly. What do you think of it? Thank you so munch!

[LongguangWang]

Hi @Macro03, we also have this observation in our experiments on synthetic images. In my opinion, at early epochs, the random samples in the queue is gradually replaced with the training data. Thus, it becomes more difficult to distinguish positive samples from negative samples and the loss is increased. After a few epochs, the queue is completely replaced by the training data and the loss begins to decrease.