a4bea87d979213ccdd6d7817cf2d182b383ef15f
UMSN-Face-Deblurring
Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks
Rajeev Yasarla, Federico Perazzi, Vishal M. Patel
Prerequisites:
- Linux
- Python 2 or 3
- CPU or NVIDIA GPU + CUDA CuDNN (CUDA 8.0)
To test UMRL:
python2.7 test_face_deblur.py --dataroot ./facades/github/ --valDataroot <path_to_test_data> --netG ./pretrained_models/Deblur_epoch_Best.pth
To train UMRL:
python2.7 train_face_deblur.py --dataroot <path_to_train_data> --valDataroot ./facades/github/ --exp ./face_deblur --batchSize 10
- input should be clean image. blurry images for trained are generated by the code it self.
Description
Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks
388 MiB
Languages
Python
99.4%
MATLAB
0.6%