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@ -48,9 +48,6 @@ python setup.py develop --no_cuda_ext
* Image Denoise Colab Demo: [<a href="https://colab.research.google.com/drive/1dkO5AyktmBoWwxBwoKFUurIDn0m4qDXT?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="google colab logo"></a>](https://colab.research.google.com/drive/1dkO5AyktmBoWwxBwoKFUurIDn0m4qDXT?usp=sharing)
* Image Deblur Colab Demo: [<a href="https://colab.research.google.com/drive/1yR2ClVuMefisH12d_srXMhHnHwwA1YmU?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="google colab logo"></a>](https://colab.research.google.com/drive/1yR2ClVuMefisH12d_srXMhHnHwwA1YmU?usp=sharing)
* Stereo Image Super-Resolution Colab Demo: [<a href="https://colab.research.google.com/drive/1PkLog2imf7jCOPKq1G32SOISz0eLLJaO?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="google colab logo"></a>](https://colab.research.google.com/drive/1PkLog2imf7jCOPKq1G32SOISz0eLLJaO?usp=sharing)
Try the web demo with all three tasks here: [![Replicate](https://replicate.com/megvii-research/nafnet/badge)](https://replicate.com/megvii-research/nafnet)
* Single Image Inference Demo:
* Image Denoise:
```
@ -63,6 +60,7 @@ Try the web demo with all three tasks here: [![Replicate](https://replicate.com/
* ```--input_path```: the path of the degraded image
* ```--output_path```: the path to save the predicted image
* [pretrained models](https://github.com/megvii-research/NAFNet/#results-and-pre-trained-models) should be downloaded.
* Try the web demo with all three tasks here: [![Replicate](https://replicate.com/megvii-research/nafnet/badge)](https://replicate.com/megvii-research/nafnet)
### Results and Pre-trained Models