Comments (1)
m-tassano
commented on August 23, 2024
Hi,
I find that the question is not very clear. However, you can have at the README to have an idea on how to use the algorithm. In particular
If you want to denoise an image sequence using the pretrained model you can execute
python test_fastdvdnet.py \
--test_path <path_to_input_sequence> \
--noise_sigma 30 \
--save_path results
NOTES
The image sequence should be stored under <path_to_input_sequence>
The model has been trained for values of noise in [5, 55]
run with --no_gpu to run on CPU instead of GPU
run with --save_noisy to save noisy frames
set max_num_fr_per_seq to set the max number of frames to load per sequence
to denoise clipped AWGN run with --model_file model_clipped_noise.pth
run with --help to see details on all input parameters
from fastdvdnet.
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from fastdvdnet.