Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation

This is the official implementation of "Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation".

For more details, please refer to our paper.

Citing the paper

Please cite the paper in your publications if it helps your research:

@inproceedings{lyu2018multi,
      title={Multi-oriented scene text detection via corner localization and region segmentation},
      author={Lyu, Pengyuan and Yao, Cong and Wu, Wenhao and Yan, Shuicheng and Bai, Xiang},
      booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
      pages={7553--7563},
      year={2018}
}

Contents

1. Requirements
2. Installation
3. Models
4. Test
5. Train
6. License

Requirements

• NVIDIA GPU, Ubuntu 14.04, Python2.7, CUDA8/9
• PyTorch 0.2.0_3

Installation

git clone https://github.com/lvpengyuan/corner.git
sh ./make.sh   or  cd rpsroi_pooling && python build.py

Models

Download the model and place it in weights/

Our trained model: Google Drive;

Test

You can test a model in a single scale:

python eval_all.py

or in multi-scale:

python eval_multiscale.py

Note that, you should modify the model path and the test dataset before testing.

Train

python train.py

To train a new model, you should modify the training settings before training.

License

This code is only for academic purpose.