zhengjiawen / SyntoReal_STD

HHH

Synthetic-to-Real-Unsupervised-Domain-Adaptation-for-Scene-Text-Detection-in-the-Wild

Introduction

       This is a project concerning Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild

       we propose a synthetic-to-real domain adaptation method for scene text detection, which transfers knowledge from synthetic data (source domain) to real data (target domain)

       From more details,please refer to our arXiv paper.(TDB)

Environments

• python 3
• torch = 1.1.0
• torchvision
• Pillow
• numpy

Train

Our experiments are based on one machine with 2 2080ti(16g memory).

(TDB)

Eval

for example (batchsize=2)

CUDA_VISIBLE_DEVICES=0 python -u eval.py 

License

For academic use, this project is licensed under the Apache License - see the LICENSE file for details. For commercial use, please contact the authors.

Citations

Please consider citing our paper in your publications if the project helps your research.

Eamil: [e-mail]