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Since we did not change the generator from ESRGAN but only the training procedure, you can simply use the original ESRGAN or BasicSR repository for testing. You just need to adapt the path of the model checkpoint such that it points to your desired pre-trained model. You can find some of the models we trained here
https://github.com/ManuelFritsche/real-world-sr/tree/master/esrgan-fs/codes
says that we should run
python test.py -opt options/test/test_esrgan.json
But I don't see these options anywhere.
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