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--- |
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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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fullWidth: true |
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duplicated_from: Geonmo/laion-aesthetic-predictor |
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--- |
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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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[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1zTrHop7pStcCwPAUP_nekK1rp6lcppYx?usp=sharing) for more configurability (ViT-L/14@336px available) and free GPU acceleration. |