Skip to content

A PyTorch implementation of "ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network" (CVPR 2020 oral)

License

Notifications You must be signed in to change notification settings

Yuliang-Liu/bezier_curve_text_spotting

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

28 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ABCNet

The full code has been released in the Adet, including the models of CTW1500 and Total-text, all the training data we used, evaluation scripts, results of detection, etc. More updates will also be conducted on Adet as well. This repo will not be maintained anymore.

Paper Link.

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]

Totaltext test data [Google Drive]

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

BezierAlign Example

python tools/tests/single_demo_bezier.py

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

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

About

A PyTorch implementation of "ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network" (CVPR 2020 oral)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published