A question about test about fastdvdnet HOT 1 CLOSED

Hi, thanks for your comment.

Regarding your question, first, keep in mind that the model provided was trained for Gaussian noise. If you'd like to use it with other type of noise, it'd be better to retrain the model with the same noise distribution.

In any case, you can still use the model provided with your images, and use the noisestd input as a sort of "slider" to tune the denoising power. As for the input sequence, I would modify line #104 in test_fastdvdnet.py by removing the addition of noise
seqn = seq + noise

hope this helps. best

from fastdvdnet.