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init app
Browse files- README.md +39 -9
- app.py +40 -0
- requirements.txt +5 -0
README.md
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title: ZeroScratches
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emoji: π
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colorFrom: purple
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colorTo: purple
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sdk: gradio
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sdk_version: 3.34.0
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app_file: app.py
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pinned: false
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license: mit
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---
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---
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license: mit
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---
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# Zero Scratches
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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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app.py
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import os
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import gradio as gr
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from zeroscratches import EraseScratches
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os.system("pip freeze")
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def inference(img):
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return EraseScratches().erase(img)
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title = "Zero Scratches"
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description = r"""
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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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"""
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article = r"""
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If you have any question, please email π§ `[email protected]`.
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This demo is running on a CPU, if you like this project please make us a donation to run on a GPU or just give us a β <a href='https://github.com/leonelhs/zeroscratches/' target='_blank'>Github</a>
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<a href="https://www.buymeacoffee.com/leonelhs"><img src="https://img.buymeacoffee.com/button-api/?text=Buy me a coffee&emoji=&slug=leonelhs&button_colour=FFDD00&font_colour=000000&font_family=Cookie&outline_colour=000000&coffee_colour=ffffff" /></a>
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<center><img src='https://visitor-badge.glitch.me/badge?page_id=hg.leonelhs.zeroscratches.visitor-badge' alt='visitor badge'></center>
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"""
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demo = gr.Interface(
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inference, [
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gr.Image(type="pil", label="Input"),
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], [
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gr.Image(type="numpy", label="Image zero scratches")
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],
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title=title,
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description=description,
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article=article)
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demo.queue().launch()
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requirements.txt
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torch>=2.0.1
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zeroscratches
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