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.
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]
Totaltext test data [Google Drive]
Syntext-150k [link] (Part1: 54,327 images. Part2: 94,723 images.)
Bezier-curve generated script link.
CTW1500 visualization results [link] (original training images can be downloaded Here)
Totaltext visualization results [link]
@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.
Any suggestion is welcome. Please send email to liu.yuliang@mail.scut.edu.cn or yuliang.liu@adelaide.edu.au
For commercial purpose usage, please contact Dr. Lianwen Jin: eelwjin@scut.edu.cn
Copyright 2019, Deep Learning and Vision Computing Lab, South China China University of Technology. http://www.dlvc-lab.net