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Please download it from here (7.1GB). Unpack the tar file to any place you want. Then, change the dir_data argument in src/option.py to the place where DIV2K images are located
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Urban100, Manga, Set5, Set15: https://cv.snu.ac.kr/research/EDSR/benchmark.tar
python3 trainval.py -e AWSDR_SDx2_edgar -sb ./directory/to/save/logs -j 0 -r 1 # -j is for cluster, -r is for reset or start from last checkpoint
The experiment you want to run is defined with -e
Modify:
exp_configs/edgar.py
pip install --upgrade git+https://github.com/ElementAI/haven
- Modify
models/kornia_trainer.py
, add the corresponding losses (commented in the code)