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

Training

Train for Syndata

• download the Syndata(I will give the link)
• change the path in basernet/vgg16_bn.py file:

(/data/CRAFT-pytorch/vgg16_bn-6c64b313.pth -> /your_path/vgg16_bn-6c64b313.pth).You can download the model here.baidu||google

• change the path in trainSyndata.py file:

(1、/data/CRAFT-pytorch/SynthText -> /your_path/SynthText 2、/data/CRAFT-pytorch/synweights/synweights -> /your_path/real_weights)

• Run python trainSyndata.py

Train for IC15 data based on Syndata pre-trained model

• download the IC15 data, rename the image file and the gt file for ch4_training_images and ch4_training_localization_transcription_gt,respectively.
• change the path in basernet/vgg16_bn.py file:

(/data/CRAFT-pytorch/vgg16_bn-6c64b313.pth -> /your_path/vgg16_bn-6c64b313.pth).You can download the model here.baidu||google

• change the path in trainic15data.py file:

(1、/data/CRAFT-pytorch/SynthText -> /your_path/SynthText 2、/data/CRAFT-pytorch/real_weights -> /your_path/real_weights)

• change the path in trainic15data.py file:

(1、/data/CRAFT-pytorch/1-7.pth -> /your_path/your_pre-trained_model_name 2、/data/CRAFT-pytorch/icdar1317 -> /your_ic15data_path/)

• Run python trainic15data.py

Train for IC13+17 data based on Syndata pre-trained model

• coming soon

If you want to train for weak supervised use our Syndate pre-trained model:

1、You should first download the pre_trained model trained in the Syndata baidu||google.
2、change the data path and pre-trained model path.
3、run python trainic15data.py

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%

Bad detection samples

There are our detection results with bad samples. We found that it's so terrible for detecting the big word. And the gaussian map can not split the character level gaussian region score map. We are trying to solve it, and any issues or advice are welcome.

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.

Acknowledgement

Thanks for Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee excellent work and code for test. In this repo, we use the author repo's basenet and test code.

License

For commercial use, please contact us.