ABCNet

Paper Link. Note this paper is not the final version. We will update soon.

We provide demo in this repository. We will update our code at adet.

Run Demo

Check Installation for installation instructions.

bash vis_demo.sh

We assume that your symlinked datasets/totaltext directory has the following structure:

totaltext
|_ test_images
|  |_ 0000000.jpg
|  |_ ...
|  |_0000299.jpg
|_ annotations
|  |_ total_test.json

Model [Google Drive]

Total-Text Results of this model: "recall": 0.57848, "Precision": 0.70785, "Hmean": 0.63666

Totaltext test data [Google Drive]

Syntext-150k [link] (Part1: 54,327 images. Part2: 94,723 images.)

Description

Generated Results Download

Bezier-curve generated script link.

CTW1500 visualization results [link] (original training images can be downloaded Here)

Totaltext visualization results [link]

Cite

@article{liu2020abcnet,
  title   =  {ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network},
  author  =  {Liu, Yuliang* and Chen, Hao* and Shen, Chunhua and He, Tong and Jin, Lianwen and Wang, Liangwei},
  journal =  {arXiv preprint arXiv:2002.10200},
  year    =  {2020}
}

*represents the authors contributed equally.

Copyright

Any suggestion is welcome. Please send email to liu.yuliang@mail.scut.edu.cn or yuliang.liu@adelaide.edu.au