Closed SYSUykLin closed 8 months ago
Hi, it is not normal. You can try training with images_4.
Thanks for your reply. Another question, do u try replica dataset? How large RAM does it need? I use your model as baseline to compare
I try blender dataset and my RAM is not enough(64G RAM).
If the RAM is not enough, you can use only half of the images or even fewer in the second stage. The performance won't be affected too much.
We run your code on llff room dataset. And we use the images_8(downsample 8 times). In the second stage, train_feature.py can only achieve 15 PSNR. Does it normal? In the first stage, train.py can achieve 35 PSNR.