ABCNet_Chinese

A demo for end-to-end English and Chinese text spotting using ABCNet. This is an old model that was trained a long ago, which serves as a base setting for others to train their own model on Chinese or other language. Official ABCNet_v2 models will be updated in AdelaiDet.

Installation

Install detectron2 using the provided version (support visualizing Chinese text):

python -m pip install -e d2

Install this repo:

python setup.py build develop

If the above succeed, you can now run the demo using the provided model.

Model

This is our model that can be used for evaluation or pretraining.

wget https://drive.google.com/file/d/1iWX2n_BmyltVwQmfj8_oM9z7cJlq1P0m/view?usp=sharing -O model_chn.pth

Simply put the model in the root directory of the repo.

Demo

bash demo.sh

Example results

If you successfully run the demo, you will get the output below:
exp1

Other results (same project but not using the provide model):

Document-like Ancient words, e.g., “彝文”:
exp4

Cite

If you find this repo useful, please cite:

@article{liu2021abcnet,
  title={ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting},
  author={Liu, Yuliang and Shen, Chunhua and Jin, Lianwen and He, Tong and Chen, Peng and Liu, Chongyu and Chen, Hao},
  journal={arXiv preprint arXiv:2105.03620},
  year={2021}
}

Data

We provide the converted json files of ArT, LSVT, and ReCTS that we have used for training ABCNet_Chinese.

GitHub

https://github.com/Yuliang-Liu/ABCNet_Chinese