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README.md
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license: mit
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---
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## Old Photo Restoration
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This is a lightweight implementation of [Microsoft Bringing Old Photos Back to Life](https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life)
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### Install
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```shell
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pip install zeroscatches
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```
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### Basic usage
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```python
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import PIL.Image
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from zeroscratches import EraseScratches
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image_path = "/path/to/image-scratched.jpg"
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eraser = EraseScratches()
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image = PIL.Image.open(image_path)
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new_img = eraser.erase(image)
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new_img = PIL.Image.fromarray(new_img)
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new_img.show()
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```
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Get the pretrained models at [Hugging Face Zero Scratches](https://huggingface.co/leonelhs/zeroscratches)
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## Some Apps using the library:
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### [Face Shine](https://github.com/leonelhs/face-shine)
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Face Shine Is a backend server for photo enhancement and restoration.
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### [Super Face](https://github.com/leonelhs/SuperFace/)
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Super Face is a Python QT frontend for Face Shine server.
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<img src="https://drive.google.com/uc?export=view&id=1D7hpjQSlUkzfTba-E5Ul4Rb1c8lYkFj5"/>
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<img src="https://drive.google.com/uc?export=view&id=1oKpJe-Ff3SeEekhGVRP1Ap3eIFqt0c8u"/>
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title: Zero Scratches
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emoji: π
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colorFrom: yellow
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colorTo: green
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sdk: gradio
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sdk_version: 3.26.0
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app_file: app.py
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pinned: false
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license: mit
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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