Tensorflow 2 implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution(CVPR2017)
$ python main.py [-h] N_TRAIN_DATA N_TEST_DATA N_RES_BLOCK BATCH_SIZE EPOCHS SCALE
$ python main.py 800 100 32 16 200 4
- Python 3.7
- Tensorflow 2
- Numpy
EDSR-tensorflow2
├── main.py // main program
├── model.py // edsr model
├── data_generator.py // data augmentation
└── utils.py // psnr, mae
- trained by Urban100
- test image set is Set14