fanwuyang/UMSN-Face-Deblurring
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rajeevyasarla
2019-08-03 10:15:44 -04:00
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README.md
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@@ -17,7 +17,7 @@ We propose a novel multi-stream architecture and training methodology that explo
1. Download test datasets provided the authors of Ziyi et al. 1. Download test datasets provided the authors of Ziyi et al.
- https://sites.google.com/site/ziyishenmi/cvpr18_face_deblur - https://sites.google.com/site/ziyishenmi/cvpr18_face_deblur
2. run test_data_generation.m 2. run test_data_generation.m
- It renames the files counting from example 000001.png - It renames the files counting from 1, for example 000001.png
3. python test_face_deblur.py --dataroot ./facades/github/ --valDataroot <path_to_test_data> --netG ./pretrained_models/Deblur_epoch_Best.pth 3. python test_face_deblur.py --dataroot ./facades/github/ --valDataroot <path_to_test_data> --netG ./pretrained_models/Deblur_epoch_Best.pth
## To train UMRL: ## To train UMRL: