https://github.com/zeakey/ldlforests
Label Distribution Learning Forest
https://github.com/zeakey/ldlforests
academic-project deep-learning
Last synced: 7 months ago
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Label Distribution Learning Forest
- Host: GitHub
- URL: https://github.com/zeakey/ldlforests
- Owner: zeakey
- Created: 2017-02-20T01:58:17.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-09-27T04:13:59.000Z (about 8 years ago)
- Last Synced: 2025-03-20T17:38:30.954Z (7 months ago)
- Topics: academic-project, deep-learning
- Language: Jupyter Notebook
- Homepage: http://kaiz.xyz/ldlf
- Size: 198 KB
- Stars: 30
- Watchers: 5
- Forks: 8
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# Label Distribution Learning Forest
## Publication
Code accompanying the paper **Label Distribution Learning Forest**. [[**arXiv**]](https://arxiv.org/abs/1702.06086) [[**ProjectPage**]](http://kaiz.xyz/ldlf)
**If you use our code, please consider citing following paper**:
```latex
@inproceedings{shen2017label,
title={Label Distribution Learning Forests},
author={Shen, Wei and Zhao, Kai and Guo, Yilu and Yuille, Alan},
booktitle={Advances in neural information processing systems},
year={2017}
}
```
## How to use
### Clone source and build
```bash
git clone https://github.com/zeakey/LDLForest --recursive
cd LDLForest/caffe-ldl
cp Makefile.config.example Makefile.config
make -j$(nproc) && make pycaffe && cd ..
```
*Please customize your own Makefile.config before `make`*.
### Try out LDL toy data:
1. Download LDL datasets:
`bash data/ldl/get_ldl.sh`
2. Try out LDL example:
`python experiments/ldl/run.py`
### Facial age estimation:
1. Download the Morph dataset
2. Make LMDB database for Morph:
`python tools/morph2lmdb.py --data /path/to/Morph`
3. Start to train:
`python experiments/alexnet/run.py`
A [live demo](https://github.com/zeakey/LDLForest/blob/master/demo.ipynb).
**Visit the [project page](http://kaiz.xyz/ldlf) for pretrained models and more detailed information.**