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title: Batch Laion Aesthetic Predictor | |
emoji: 👁️⃤ | |
colorFrom: blue | |
colorTo: red | |
sdk: gradio | |
sdk_version: 3.18.0 | |
app_file: opp.py | |
pinned: true | |
fullWidth: true | |
duplicated_from: Geonmo/laion-aesthetic-predictor | |
Computes several aesthetic scores statistics over a bunch of pictures (min, max, range, average, median, coeff. of variance), exporting the results in CSV. | |
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. | |
[![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. |