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README.md
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title: Laion Aesthetic Predictor
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sdk: gradio
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sdk_version: 3.
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app_file:
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license: apache-2.0
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duplicated_from: Geonmo/laion-aesthetic-predictor
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title: Batch Laion Aesthetic Predictor
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emoji: 🏆
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colorFrom: blue
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colorTo: red
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sdk: gradio
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sdk_version: 3.18.0
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app_file: opp.py
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pinned: true
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duplicated_from: Geonmo/laion-aesthetic-predictor
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Computes several aesthetic scores statistics over a bunch of pictures (min, max, range, average, median, coeff. of variance), exporting the results in CSV.
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Currently uses the sac+logos+ava1-l14-linearMSE.pth MLP trained on 224x224 images from CLIP checkpoint ViT-L/14. Should work on CPU and CUDA, though I can only test for CPU here.
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[](https://colab.research.google.com/drive/1zTrHop7pStcCwPAUP_nekK1rp6lcppYx?usp=sharing) for more configurability (ViT-L/14@336px available) and free GPU acceleration.
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