P2PaLA

❗❗ P2PaLA is deprecated ❗❗

Page to PAGE Layout Analysis (P2PaLA) is a toolkit for Document Layout Analysis based on Neural Networks.

💥 Try our new DEMO for online baseline detection. ❗❗

If you find this toolkit useful in your research, please cite:

@misc{p2pala2017,
  author = {Lorenzo Quirós},
  title = {P2PaLA: Page to PAGE Layout Analysis tookit},
  year = {2017},
  publisher = {GitHub},
  note = {GitHub repository},
  howpublished = {\url{https://github.com/lquirosd/P2PaLA}},
}

Check this paper for more details Arxiv.

Requirements

Linux (OSX may work, but untested.).
Python (2.7, 3.6 under conda virtual environment is recomended)
Numpy
PyTorch (1.0). PyTorch 0.3.1 compatible on this branch
OpenCv (3.4.5.20).
NVIDIA GPU + CUDA CuDNN (CPU mode and CUDA without CuDNN works, but is not recomended for training).
tensorboard-pytorch (v0.9) [Optional]. pip install tensorboardX > A diferent conda env is recomended to keep tensorflow separated from PyTorch

Install

python setup.py install

To install python dependencies alone, use requirements file conda env create --file conda_requirements.yml

Usage

Input data must follow the folder structure data_tag/page, where images must be into the data_tag folder and xml files into page. For example:

mkdir -p data/{train,val,test,prod}/page;
tree data;

data
├── prod
│   ├── page
│   │   ├── prod_0.xml
│   │   └── prod_1.xml
│   ├── prod_0.jpg
│   └── prod_1.jpg
├── test
│   ├── page
│   │   ├── test_0.xml
│   │   └── test_1.xml
│   ├── test_0.jpg
│   └── test_1.jpg
├── train
│   ├── page
│   │   ├── train_0.xml
│   │   └── train_1.xml
│   ├── train_0.jpg
│   └── train_1.jpg
└── val
    ├── page
    │   ├── val_0.xml
    │   └── val_1.xml
    ├── val_0.jpg
    └── val_1.jpg

Run the tool.

python P2PaLA.py --config config.txt --tr_data ./data/train --te_data ./data/test --log_comment "_foo"

❗ Pre-trained models available here

Use TensorBoard to visualize train status:

tensorboard --logdir ./work/runs

xml-PAGE files must be at "./work/results/test/"

We recommend Transkribus or nw-page-editor to visualize and edit PAGE-xml files.

For detail about arguments and config file, see docs or python P2PaLA.py -h.
For more detailed example see egs:
- Bozen dataset see
- cBAD complex competition dataset see
- OHG dataset see

License

GNU General Public License v3.0 See LICENSE to see the full text.

Acknowledgments

Code is inspired by pix2pix and pytorch-CycleGAN-and-pix2pix