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# UMSN-Face-Deblurring
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Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks
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[Rajeev Yasarla](https://sites.google.com/view/rajeevyasarla/home), [Federico Perazzi](https://research.adobe.com/person/federico-perazzi/), [Vishal M. Patel](https://engineering.jhu.edu/ece/faculty/vishal-m-patel/)
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## Prerequisites:
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1. Linux
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2. Python 2 or 3
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3. CPU or NVIDIA GPU + CUDA CuDNN (CUDA 8.0)
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## To test UMRL:
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python2.7 test_face_deblur.py --dataroot ./facades/github/ --valDataroot <path_to_test_data> --netG ./pretrained_models/Deblur_epoch_Best.pth
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## To train UMRL:
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python2.7 train_face_deblur.py --dataroot <path_to_train_data> --valDataroot ./facades/github/ --exp ./face_deblur --batchSize 10
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- input should be clean images. blurry images for trained are generated by the code it self.
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