Awesome
NLSAN
Non-Local Self-Attention Network for Image Super-Resolution
Environment
Installation
pip install -r requirements.txt
python setup.py develop
How To Test
- Refer to
./options/test
for the configuration file of the model to be tested, and prepare the testing data and pretrained model. - The pretrained models are available at Google Drive and Baidu Netdisk (access code: gykc).
sh demo.sh
The testing results will be saved in the ./results
folder.
Acknowledgements
This code is built on BasicSR and HAT. We thank the authors for sharing their codes.