Finetune problem about flavr

[tarun005]

I am not sure what is causing the problem. Did you check the pre-processing and post processing steps match that in the code?

[ECEMACHINE]

I am not sure what is causing the problem. Did you check the pre-processing and post processing steps match that in the code?
I don't think the infer code has problems since the result of your model seems really good. And I checked the training datasets, the data has no problem. It seems really wired. The training PSNR even pass 38.

[tarun005]

It typically happens when the mean and std used for preprocessing do not match that of evaluation. Urge you to check if the dataloader pipelines are consistent.

[ECEMACHINE]

It typically happens when the mean and std used for preprocessing do not match that of evaluation. Urge you to check if the dataloader pipelines are consistent.

I checked my pipelines and checked the images in every dataloader, it seems good. And I tried the Vimeo90k using your code,it turned out the PSNR was around just 15. Then I output the images of the dataloader, I found that the images of the same video were flipped by different angles or randomly cropped which means that the previous frame was not consistent with next frame. I don't know if it's right?

FLAVR/dataset/vimeo90k_septuplet.py

Line 32 in d07e162

transforms.RandomCrop(256),

[tarun005]

I did fix the random seed before applying the transformation. It is somehow not working in your case. What versions of pytorch, torchvision and PIL are you using?

[ECEMACHINE]

I did fix the random seed before applying the transformation. It is somehow not working in your case. What versions of pytorch, torchvision and PIL are you using?

I am so sorry I did't notice the requirements. Thanks so much!