Unofficial PyTorch code for BasicVSR

Last update: Dec 06, 2022

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Overview

Dependencies and Installation

The code is based on BasicSR, Please install the BasicSR framework first.
Pytorch=1.51

Training

cd ./code

CUDA_VISIBLE_DEVICES=0,1 python basicsr/train.py -opt options/train/BasicVSR/train_BasicVSR.yml

CUDA_VISIBLE_DEVICES=0,1 python basicsr/train.py -opt options/train/BasicVSR/train_IconVSR.yml

Testing

cd ./code

CUDA_VISIBLE_DEVICES=0 python basicsr/test.py -opt options/test/BasicVSR/test_BasicVSR_REDS.yml

CUDA_VISIBLE_DEVICES=0 python basicsr/test.py -opt options/test/BasicVSR/test_BasicVSR_Vid4.yml

PSNR/SSIM Results

It takes about 5 days to train the BasicVSR/IconVSR model with the REDS dataset on 2 V100 GPUs.

Dataset(BI)	BasicVSR (paper)	Ours	IconVSR_w/o Refill (paper)	Ours
REDS4	31.42/0.8909	31.409/0.8907	31.60	31.6026
Vid4	27.24/0.8251	27.269/0.8311	-	-

Pretrained models and SR results can be downloaded Here.

Owner

Long

Image/Video Restoration

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