未验证 提交 b8f5e47e 编写于 作者: D dyning 提交者: GitHub

Merge pull request #370 from dyning/develop

updata en doc
此差异已折叠。
# REFERENCE
```
1. EAST:
@inproceedings{zhou2017east,
title={EAST: an efficient and accurate scene text detector},
author={Zhou, Xinyu and Yao, Cong and Wen, He and Wang, Yuzhi and Zhou, Shuchang and He, Weiran and Liang, Jiajun},
booktitle={Proceedings of the IEEE conference on Computer Vision and Pattern Recognition},
pages={5551--5560},
year={2017}
}
2. DB:
@article{liao2019real,
title={Real-time Scene Text Detection with Differentiable Binarization},
author={Liao, Minghui and Wan, Zhaoyi and Yao, Cong and Chen, Kai and Bai, Xiang},
journal={arXiv preprint arXiv:1911.08947},
year={2019}
}
3. DTRB:
@inproceedings{baek2019wrong,
title={What is wrong with scene text recognition model comparisons? dataset and model analysis},
author={Baek, Jeonghun and Kim, Geewook and Lee, Junyeop and Park, Sungrae and Han, Dongyoon and Yun, Sangdoo and Oh, Seong Joon and Lee, Hwalsuk},
booktitle={Proceedings of the IEEE International Conference on Computer Vision},
pages={4715--4723},
year={2019}
}
4. SAST:
@inproceedings{wang2019single,
title={A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning},
author={Wang, Pengfei and Zhang, Chengquan and Qi, Fei and Huang, Zuming and En, Mengyi and Han, Junyu and Liu, Jingtuo and Ding, Errui and Shi, Guangming},
booktitle={Proceedings of the 27th ACM International Conference on Multimedia},
pages={1277--1285},
year={2019}
}
5. SRN:
@article{yu2020towards,
title={Towards Accurate Scene Text Recognition with Semantic Reasoning Networks},
author={Yu, Deli and Li, Xuan and Zhang, Chengquan and Han, Junyu and Liu, Jingtuo and Ding, Errui},
journal={arXiv preprint arXiv:2003.12294},
year={2020}
}
6. end2end-psl:
@inproceedings{sun2019chinese,
title={Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning},
author={Sun, Yipeng and Liu, Jiaming and Liu, Wei and Han, Junyu and Ding, Errui and Liu, Jingtuo},
booktitle={Proceedings of the IEEE International Conference on Computer Vision},
pages={9086--9095},
year={2019}
}
```
\ No newline at end of file
## Tricks of Chinese OCR
## Tricks
Here we have sorted out some Chinese OCR training and prediction tricks, which are being updated continuously. You are welcome to contribute more OCR tricks ~
- [Replace Backbone Network](#ReplaceBackboneNetwork)
......
# RECENT UPDATES
- 2020.7.15, Add mobile App demo , support both iOS and Android ( based on easyedge and Paddle Lite)
- 2020.7.15, Improve the deployment ability, add the C + + inference , serving deployment. In addtion, the benchmarks of the ultra-lightweight Chinese OCR model are provided.
- 2020.7.15, Add several related datasets, data annotation and synthesis tools.
- 2020.7.9 Add a new model to support recognize the character "space".
- 2020.7.9 Add the data augument and learning rate decay strategies during training.
- 2020.6.8 Add [datasets](./doc/doc_en/datasets_en.md) and keep updating
- 2020.6.5 Support exporting `attention` model to `inference_model`
- 2020.6.5 Support separate prediction and recognition, output result score
- 2020.6.5 Support exporting `attention` model to `inference_model`
- 2020.6.5 Support separate prediction and recognition, output result score
- 2020.5.30 Provide Lightweight Chinese OCR online experience
......
# Visualization
- [Chinese/English OCR Visualization (Space_support )](#Space_support)
- [Ultra-lightweight Chinese/English OCR Visualization](#Ultra-lightweight)
- [General Chinese/English OCR Visualization](#General)
<a name="Space_support"></a>
## Chinese/English OCR Visualization (Space_support )
### Ultra-lightweight Model
<div align="center">
<img src="../imgs_results/img_11.jpg" width="800">
</div>
### General OCR Model
<div align="center">
<img src="../imgs_results/chinese_db_crnn_server/en_paper.jpg" width="800">
</div>
<a name="Ultra-lightweight"></a>
## Ultra-lightweight Chinese/English OCR Visualization
<div align="center">
<img src="../imgs_results/1.jpg" width="800">
</div>
<div align="center">
<img src="../imgs_results/7.jpg" width="800">
</div>
<div align="center">
<img src="../imgs_results/12.jpg" width="800">
</div>
<div align="center">
<img src="../imgs_results/4.jpg" width="800">
</div>
<div align="center">
<img src="../imgs_results/6.jpg" width="800">
</div>
<div align="center">
<img src="../imgs_results/9.jpg" width="800">
</div>
<div align="center">
<img src="../imgs_results/16.png" width="800">
</div>
<div align="center">
<img src="../imgs_results/22.jpg" width="800">
</div>
<a name="General"></a>
## General Chinese/English OCR Visualization
<div align="center">
<img src="../imgs_results/chinese_db_crnn_server/11.jpg" width="800">
</div>
<div align="center">
<img src="../imgs_results/chinese_db_crnn_server/2.jpg" width="800">
</div>
<div align="center">
<img src="../imgs_results/chinese_db_crnn_server/8.jpg" width="800">
</div>
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