/srgan-tensorflow2.0

SRGAN implementation using Tensorflow 2.0

Primary LanguageJupyter Notebook

srgan-tensorflow2.0

SRGAN implementation using Tensorflow 2.0

Download other folders (samples, models, DIV2K, archive) at:

https://drive.google.com/drive/folders/1-C3y8Ae_4NbFjrymxfF2BExlhtCzfs-2?usp=sharing

Usage:

  1. Change model's parameters in config.py
  2. How to use train.py
  • Warm-up Generator:
python train.py --mode=warmup
  • Train from beginning:
python train.py
  • Continue training:
python train.py --mode=continue 
  • Generate demo super-resolution image:
python train.py --mode=evaluate 
  1. Losses and PSNR, SSIM scores can be calculated in evaluation.ipynb
  2. Web deployment in deployment