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README.md
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Original github repo is [here](https://github.com/greatlog/RealDAN)
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If this repo works for you, please cite our paper
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```bitex
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@article{luo2023end,
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title={End-to-end Alternating Optimization for Real-World Blind Super Resolution},
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author={Luo, Zhengxiong and Huang, Yan and Li, Shang and Wang, Liang and Tan, Tieniu},
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journal={International Journal of Computer Vision (IJCV)},
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year={2023}
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}
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```
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This repo is buid on the basis of [BasicSR](https://github.com/XPixelGroup/BasicSR)
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## Model Weights
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Download the checkpoints of RealDAN.
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Put the downloaded checkpoints into [checkpoints](./checkpoints)
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## Inference
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For inference on Real-World images
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```bash
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cd codes/config/RealDAN
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python3 inference.py \
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--opt options/test/dan_edsr_gan_real.yml \
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--input_dir=/dir/of/input/images \
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--output_dir=/dir/of/saved/outputs
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```
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For inference on blurry images
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```bash
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cd codes/config/KernelDAN
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python3 inference.py \
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--opt options/test/x4.yml \
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--input_dir=/dir/of/input/images \
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--output_dir=/dir/of/saved/outputs
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```
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## Evaluation
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For evaluation on DIV2K-Real, please download the dataset to your own path, and run
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```bash
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cd codes/config/RealDAN
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python3 test.py \
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--opt options/test/dan_edsr_gan_syn.yml
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```
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and
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```bash
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cd codes/config/RealDAN
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python3 test.py \
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--opt options/test/dan_edsr_syn.yml
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```
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For evaluation on DIV2KRK, please download the [dataset](http://www.wisdom.weizmann.ac.il/~vision/kernelgan/DIV2KRK_public.zip) to your own path, and run
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```bash
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cd codes/config/KernelDAN
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python3 test.py \
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--opt options/test/x2.yml
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```
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and
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```bash
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cd codes/config/KernelDAN
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python3 test.py \
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--opt options/test/x4.yml
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```
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