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Update README.md
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FanChiMao authored Oct 25, 2021
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Expand Up @@ -46,9 +46,9 @@ To test the pre-trained models of denoising on your own images, run
```
python demo.py --input_dir images_folder_path --result_dir save_images_here --weights path_to_models
```
Here is an example to perform Deraindrop:
Here is an example to perform denoising:
```
python demo.py --input_dir './demo_samples/' --result_dir './demo_results' --weights './pretrained_model/denoising_model.pth'
python demo_any_resolution.py --input_dir './demo_samples/' --result_dir './demo_results' --weights './pretrained_model/denoising_model.pth'
```
## Train
To train the restoration models of Denoising. You should check the following components:
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