File size: 795 Bytes
1d50f06
22be750
1c5c466
22be750
 
1d50f06
22be750
 
 
1c5c466
1d50f06
 
 
22be750
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
---
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.