CRAFT-Reimplementation

Reimplementation：Character Region Awareness for Text Detection Reimplementation based on Pytorch

Character Region Awareness for Text Detection

Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee (Submitted on 3 Apr 2019)

The full paper is available at: https://arxiv.org/pdf/1904.01941.pdf

Install Requirements:

1、PyTroch>=0.4.1
2、torchvision>=0.2.1
3、opencv-python>=3.4.2
4、check requiremtns.txt
5、4 nvidia GPUs(we use 4 nvidia titanX)

pre-trained model:

Syndata:Syndata for baidu drive || Syndata for google drive
Syndata+IC15:Syndata+IC15 for baidu drive || Syndata+IC15 for google drive
Syndata+IC13+IC17:Syndata+IC13+IC17 for baidu drive|| Syndata+IC13+IC17 for google drive (Note: the pre-trained model for 89.79% not 90.85%. I will upload it for 2 days later)

Training

This code supprts for Syndata and icdar2015, and we will release the training code for IC13 and IC17 as soon as possible.

Methods	dataset	Recall	precision	H-mean
Syndata	ICDAR13	71.93%	81.31%	76.33%
Syndata+IC15	ICDAR15	76.12%	84.55%	80.11%
Syndata+IC13+IC17(deteval)	ICDAR13	86.81%	95.28%	90.85%

Contributing to the project

We will release training code as soon as possible， and we have not yet reached the results given in the author's paper. Any pull requests or issues are welcome. We also hope that you could give us some advice for the project.