Reproduce the final results:
- Download the pre-trained model and extract it in the git path
- Run the following code with path_to_images indicating LR images to resolve
python main.py --skip_train --test_image path_to_images
- Resolved images can be found at result/kaws-ntire2020/summary/test
Train from scratch:
- Download the training related data and extract it in the git path
- Run the following code.
python main.py
Command-line options can be listed by running the main script with -h flag.
python main.py -h
- python 3.6
- tensorflow >= 1.14
- tqdm
- python-telegram-bot (optional)
Wavelet Pyramid Generation based High-frequency Recovery for Perceptual Extreme Super-Resolution