https://github.com/linchuming/wssdcnn
The unofficial implementation of Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting via TensorFlow
https://github.com/linchuming/wssdcnn
retargeting tensorflow
Last synced: 9 months ago
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The unofficial implementation of Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting via TensorFlow
- Host: GitHub
- URL: https://github.com/linchuming/wssdcnn
- Owner: linchuming
- License: mit
- Created: 2019-06-20T09:57:04.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-06-20T10:57:00.000Z (about 7 years ago)
- Last Synced: 2025-08-15T13:42:46.031Z (11 months ago)
- Topics: retargeting, tensorflow
- Language: Python
- Homepage:
- Size: 2.95 MB
- Stars: 8
- Watchers: 0
- Forks: 0
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# WSSDCNN
The unofficial implementation of Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting
### Preparation
- TensorFlow >= 1.6
- Download the param (577M) from BaiduYun: https://pan.baidu.com/s/15UvYzwriYCOiqqb6ZvhqsA (passwd: jlq5)
- Move the param files to directory `model_ckpt`
### Inference
- ` python test.py`
### Results
The approach has limits and their results are not always good. Some good results show below (aspect ratio = 0.5) :
| Original | WSSDCNN | Bicubic |
| -------------------------- | ------------------------------ | ------------------------------ |
|  |  |  |
|  |  |  |
|  |  |  |