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tomaseo2022
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Upload 4 files
Browse files- app.py +32 -0
- gitattributes.txt +27 -0
- mona.jpeg +0 -0
- requirements.txt +4 -0
app.py
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import gradio as gr
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from skimage import io
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from pyxelate import Pyx, Pal
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def pixel(image,downsample,palette,depth,upscale):
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image = io.imread(image.name)
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downsample_by = int(downsample) # new image will be 1/14th of the original in size
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palette = int(palette) # find 7 colors
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# 1) Instantiate Pyx transformer
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pyx = Pyx(factor=downsample_by, palette=palette,depth=int(depth),upscale = int(upscale))
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# 2) fit an image, allow Pyxelate to learn the color palette
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pyx.fit(image)
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# 3) transform image to pixel art using the learned color palette
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new_image = pyx.transform(image)
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# save new image with 'skimage.io.imsave()'
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io.imsave("pixel.png", new_image)
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return "pixel.png"
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title = "Pyxelate"
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description = "Gradio demo for Pyxelate: converts images to pixel art. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
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article = "<p style='text-align: center'><a href='https://github.com/sedthh/pyxelate' target='_blank'>Github Repo</a></p>"
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gr.Interface(
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pixel,
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[gr.inputs.Image(type="file", label="Input", shape=(512,512)),gr.inputs.Number(default=14, label="downsample by"),gr.inputs.Number(default=7, label="palette"),gr.inputs.Number(default=1, label="depth"),gr.inputs.Number(default=14, label="upscale")
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],
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gr.outputs.Image(type="file", label="Output"),
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title=title,
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description=description,
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article=article,
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examples=[['mona.jpeg',14,7,1,14]]
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).launch(enable_queue=True)
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gitattributes.txt
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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mona.jpeg
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requirements.txt
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scikit-learn>=0.24.1
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scikit-image>=0.18.1
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numba>=0.53.1
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git+https://github.com/sedthh/pyxelate.git
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