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add readme for training

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Xintao
2021-07-25 13:00:29 +08:00
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README.md
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@@ -11,7 +11,7 @@
Real-ESRGAN aims at developing **Practical Algorithms for General Image Restoration**.<br>
We extend the powerful ESRGAN to a practical restoration application (namely, Real-ESRGAN), which is trained with pure synthetic data.
:triangular_flag_on_post: The training codes have been released. A detailed guide will be provided later (on July 25th). Note that the codes have a lot of refactoring. So there may be some bugs/performance drops. Welcome to report issues and I wil also retrain the models.
:triangular_flag_on_post: The training codes have been released. A detailed guide will be provided later (on July 25th).
### :book: Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
@@ -54,6 +54,7 @@ You can download **Windows executable files** from https://github.com/xinntao/Re
This executable file is **portable** and includes all the binaries and models required. No CUDA or PyTorch environment is needed.<br>
You can simply run the following command:
```bash
./realesrgan-ncnn-vulkan.exe -i input.jpg -o output.png
```