We present a highly accurate single-image super-resolution (SR) method, learn residuals only and use extremely high learning rates enabled by adjustable gradient clipping
- Ubuntu 16.04
- Python 2.7.12
pip
- Tensorflow
- Opencv
- h5py
If you meet the problem with opencv when run the program
libSM.so.6: cannot open shared object file: No such file or directory
please install dependency package
sudo apt-get install libsm6
sudo apt-get install libxrender1
python main.py
if you want to see the flag
python main.py -h
trainning with 10 layer (default is 20)
python main.py --layer 10
If you don't input a Test image, it will be default image
python main.py --is_train False
then result will put in the result directory
if you want to see the result with custom layer ,ex: 10 layer
python main.py --is_train False --layer 10
If you want to Test your own iamge
use test_img flag
python main.py --is_train False --test_img Train/t20.bmp
then result image also put in the result directory
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Origin
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Bicbuic
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Result
