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Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)

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DATASETS

Running the code

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

Defining an experiment

Modify: exp_configs/edgar.py

Dependencies

pip install --upgrade git+https://github.com/ElementAI/haven

TODO Edgar

  • Modify models/kornia_trainer.py, add the corresponding losses (commented in the code)

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  • Python 88.1%
  • MATLAB 10.1%
  • Other 1.8%