https://github.com/isaaccorley/deep-aesthetics-pytorch
PyTorch implementation of "Photo Aesthetics Ranking Network with Attributes and Content Adaptation" by Kong et al. (ECCV 2016)
https://github.com/isaaccorley/deep-aesthetics-pytorch
artificial-intelligence computer-vision deep-learning image-quality-assessment
Last synced: 24 days ago
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PyTorch implementation of "Photo Aesthetics Ranking Network with Attributes and Content Adaptation" by Kong et al. (ECCV 2016)
- Host: GitHub
- URL: https://github.com/isaaccorley/deep-aesthetics-pytorch
- Owner: isaaccorley
- License: mit
- Created: 2021-02-10T03:15:59.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-02-15T02:41:11.000Z (over 4 years ago)
- Last Synced: 2025-04-12T17:02:10.250Z (6 months ago)
- Topics: artificial-intelligence, computer-vision, deep-learning, image-quality-assessment
- Language: Jupyter Notebook
- Homepage:
- Size: 8.95 MB
- Stars: 33
- Watchers: 2
- Forks: 6
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# deep-aesthetics-pytorch
PyTorch implementation of ["Photo Aesthetics Ranking Network with Attributes and Content Adaptation" by Kong et al. (ECCV 2016)](https://arxiv.org/abs/1606.01621)
### Dataset
Download the [AADB](https://www.ics.uci.edu/~skong2/aesthetics.html) dataset.
```bash
bash scripts/download_aadb.sh
```
### Install Dependencies
```bash
pip install -r requirements.txt
```