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@@ -16,7 +16,7 @@ We extend the powerful ESRGAN to a practical restoration application (namely, Re
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:question: Frequently Asked Questions can be found in [FAQ.md](FAQ.md).
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:triangular_flag_on_post: **Updates**
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-- :white_check_mark: Integrate [GFPGAN](https://github.com/TencentARC/GFPGAN) to support face enhancement.
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+- :white_check_mark: Integrate [GFPGAN](https://github.com/TencentARC/GFPGAN) to support **face enhancement**.
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- :white_check_mark: Integrated to [Huggingface Spaces](https://huggingface.co/spaces) with [Gradio](https://github.com/gradio-app/gradio). See [Gradio Web Demo](https://huggingface.co/spaces/akhaliq/Real-ESRGAN).
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- :white_check_mark: Support arbitrary scale with `--outscale` (It actually further resizes outputs with `LANCZOS4`). Add *RealESRGAN_x2plus.pth* model.
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- :white_check_mark: [The inference code](inference_realesrgan.py) supports: 1) **tile** options; 2) images with **alpha channel**; 3) **gray** images; 4) **16-bit** images.
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@@ -107,6 +107,9 @@ This executable file is based on the wonderful [Tencent/ncnn](https://github.com
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# Install basicsr - https://github.com/xinntao/BasicSR
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# We use BasicSR for both training and inference
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pip install basicsr
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+ # facexlib and gfpgan are for face enhancement
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+ pip install facexlib
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+ pip install gfpgan
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pip install -r requirements.txt
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python setup.py develop
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```
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Xintao