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Same error, solution didn't work: RuntimeError expected input... to have 28 channels, but got 27 channels instead #24
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It's a bug. Try to add Also note that we train it as a non-blind denoising model. You may need to try different sigmas (e.g., larger sigma if the video is heavily corrupted by Gaussian noise). |
I see; but unfortunately |
I see. It's because you didn't specify --folder_gt, so it uses another dataloader. We did not provide an interface for lq-only-input in denoising. |
Have you fixed the bug? |
I ran into the same error as #14 , and verified that
self.nonblind_denoising
was set toTrue
here, but still receive the error:This is using the dataset
VRT/testsets/REDS4/sharp_bicubic
via the callpython main_test_vrt.py --task 008_VRT_videodenoising_DAVIS --folder_lq testsets/REDS4/sharp_bicubic --tile 40 128 128 --tile_overlap 2 20 20
. I ultimately want to run this on my own folder of PNGs from a video.The text was updated successfully, but these errors were encountered: